diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..af7088e --- /dev/null +++ b/.gitignore @@ -0,0 +1,14 @@ +**/.DS_Store +.DS_Store +.ipynb_checkpoints +dask-worker-space +.vscode +mydask.png +dataframe_graph.pdf +graph.pdf +scheduler.json +dask-report.html +profile.html +task-stream.html +dask-profile.html +myfile.html \ No newline at end of file diff --git a/.ipynb_checkpoints/Dask_01_basics-checkpoint.ipynb b/.ipynb_checkpoints/Dask_01_basics-checkpoint.ipynb deleted file mode 100755 index 0dda657..0000000 --- a/.ipynb_checkpoints/Dask_01_basics-checkpoint.ipynb +++ /dev/null @@ -1,705 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask Basics" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook we demonstrate some basic features when working with Nd array data:\n", - "\n", - "* Dask array - lazy loading\n", - "* daskarray.compute( )\n", - "* daskarray.visulize( )\n", - "* Diagnostic tool - ProgressBar\n", - "* Reduction\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Xarray, Dask, Lazy loading, Diagnostics\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is developed based on [Ryan Abernathey's lecture](https://rabernat.github.io/research_computing_2018/dask-for-parallel-computing-and-big-data.html) and [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Dask\n", - "\n", - "Dask is a parallel computing library that scales the existing Python ecosystem. This tutorial will introduce Dask and parallel data analysis more generally. \n", - "\n", - "Dask provides multi-core and distributed parallel execution on larger-than-memory datasets. Dask can scale down to your laptop and up to a cluster. \n", - "\n", - "We can think of Dask at a high and a low level:\n", - "\n", - "**High level collections**: Dask provides high-level Array, Bag, and DataFrame collections that mimic NumPy, lists, and Pandas but can operate in parallel on datasets that don't fit into memory. Dask's high-level collections are alternatives to NumPy and Pandas for large datasets.\n", - "\n", - "**Low Level schedulers**: Dask provides dynamic task schedulers that execute task graphs in parallel. These execution engines power the high-level collections mentioned above but can also power custom, user-defined workloads. These schedulers are low-latency (around 1ms) and work hard to run computations in a small memory footprint. Dask's schedulers are an alternative to direct use of threading or multiprocessing libraries in complex cases or other task scheduling systems like Luigi or IPython parallel." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Load the required modules" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "import dask.array as da" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dask Arrays\n", - "\n", - "A dask array looks and feels a lot like a numpy array. However, a dask array doesn't directly hold any data. Instead, it symbolically represents the computations needed to generate the data. Nothing is actually computed until the actual numerical values are needed. This mode of operation is called \"lazy\"; it allows one to build up complex, large calculations symbolically before turning them over to the scheduler for execution." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 32.00 MB 8.00 MB
Shape (1000, 4000) (1000, 1000)
Count 4 Tasks 4 Chunks
Type float64 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 4000\n", - " 1000\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "shape = (1000, 4000)\n", - "chunk_shape = (1000, 1000)\n", - "ones = da.ones(shape, chunks=chunk_shape)\n", - "ones" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice that we just see a symbolic representation of the array, including its shape, dtype, and chunksize. No data has been generated yet. When we call `.compute()` on a dask array, the computation is triggered and the dask array becomes a numpy array." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py:1079: VersionMismatchWarning: Mismatched versions found\n", - "\n", - "numpy\n", - "+------------------------+---------+\n", - "| | version |\n", - "+------------------------+---------+\n", - "| client | 1.19.2 |\n", - "| scheduler | 1.19.2 |\n", - "| tcp://10.6.74.39:33153 | 1.17.2 |\n", - "| tcp://10.6.74.39:33271 | 1.17.2 |\n", - "| tcp://10.6.74.39:33311 | 1.17.2 |\n", - "| tcp://10.6.74.39:33321 | 1.17.2 |\n", - "| tcp://10.6.74.39:33493 | 1.17.2 |\n", - "| tcp://10.6.74.39:33707 | 1.17.2 |\n", - "| tcp://10.6.74.39:33833 | 1.17.2 |\n", - "| tcp://10.6.74.39:33867 | 1.17.2 |\n", - "| tcp://10.6.74.39:34343 | 1.17.2 |\n", - "| tcp://10.6.74.39:34349 | 1.17.2 |\n", - "| tcp://10.6.74.39:34477 | 1.17.2 |\n", - "| tcp://10.6.74.39:34875 | 1.17.2 |\n", - "| tcp://10.6.74.39:35147 | 1.17.2 |\n", - "| tcp://10.6.74.39:35937 | 1.17.2 |\n", - "| tcp://10.6.74.39:35965 | 1.17.2 |\n", - "| tcp://10.6.74.39:36101 | 1.17.2 |\n", - "| tcp://10.6.74.39:36403 | 1.17.2 |\n", - "| tcp://10.6.74.39:36593 | 1.17.2 |\n", - "| tcp://10.6.74.39:36965 | 1.17.2 |\n", - "| tcp://10.6.74.39:36973 | 1.17.2 |\n", - "| tcp://10.6.74.39:37193 | 1.17.2 |\n", - "| tcp://10.6.74.39:37705 | 1.17.2 |\n", - "| tcp://10.6.74.39:37753 | 1.17.2 |\n", - "| tcp://10.6.74.39:37923 | 1.17.2 |\n", - "| tcp://10.6.74.39:38321 | 1.17.2 |\n", - "| tcp://10.6.74.39:38323 | 1.17.2 |\n", - "| tcp://10.6.74.39:38877 | 1.17.2 |\n", - "| tcp://10.6.74.39:38919 | 1.17.2 |\n", - "| tcp://10.6.74.39:40097 | 1.17.2 |\n", - "| tcp://10.6.74.39:40299 | 1.17.2 |\n", - "| tcp://10.6.74.39:40811 | 1.17.2 |\n", - "| tcp://10.6.74.39:40837 | 1.17.2 |\n", - "| tcp://10.6.74.39:40871 | 1.17.2 |\n", - "| tcp://10.6.74.39:41067 | 1.17.2 |\n", - "| tcp://10.6.74.39:41071 | 1.17.2 |\n", - "| tcp://10.6.74.39:41109 | 1.17.2 |\n", - "| tcp://10.6.74.39:41227 | 1.17.2 |\n", - "| tcp://10.6.74.39:41999 | 1.17.2 |\n", - "| tcp://10.6.74.39:42139 | 1.17.2 |\n", - "| tcp://10.6.74.39:42495 | 1.17.2 |\n", - "| tcp://10.6.74.39:43419 | 1.17.2 |\n", - "| tcp://10.6.74.39:43529 | 1.17.2 |\n", - "| tcp://10.6.74.39:43839 | 1.17.2 |\n", - "| tcp://10.6.74.39:44233 | 1.17.2 |\n", - "| tcp://10.6.74.39:44333 | 1.17.2 |\n", - "| tcp://10.6.74.39:45119 | 1.17.2 |\n", - "| tcp://10.6.74.39:45441 | 1.17.2 |\n", - "| tcp://10.6.74.39:46143 | 1.17.2 |\n", - "| tcp://10.6.74.40:32777 | 1.17.2 |\n", - "| tcp://10.6.74.40:33701 | 1.17.2 |\n", - "| tcp://10.6.74.40:33907 | 1.17.2 |\n", - "| tcp://10.6.74.40:33929 | 1.17.2 |\n", - "| tcp://10.6.74.40:33959 | 1.17.2 |\n", - "| tcp://10.6.74.40:34313 | 1.17.2 |\n", - "| tcp://10.6.74.40:34397 | 1.17.2 |\n", - "| tcp://10.6.74.40:34495 | 1.17.2 |\n", - "| tcp://10.6.74.40:34503 | 1.17.2 |\n", - "| tcp://10.6.74.40:34803 | 1.17.2 |\n", - "| tcp://10.6.74.40:35691 | 1.17.2 |\n", - "| tcp://10.6.74.40:35783 | 1.17.2 |\n", - "| tcp://10.6.74.40:35857 | 1.17.2 |\n", - "| tcp://10.6.74.40:36757 | 1.17.2 |\n", - "| tcp://10.6.74.40:36907 | 1.17.2 |\n", - "| tcp://10.6.74.40:37675 | 1.17.2 |\n", - "| tcp://10.6.74.40:37945 | 1.17.2 |\n", - "| tcp://10.6.74.40:38981 | 1.17.2 |\n", - "| tcp://10.6.74.40:38987 | 1.17.2 |\n", - "| tcp://10.6.74.40:39027 | 1.17.2 |\n", - "| tcp://10.6.74.40:39039 | 1.17.2 |\n", - "| tcp://10.6.74.40:39165 | 1.17.2 |\n", - "| tcp://10.6.74.40:39485 | 1.17.2 |\n", - "| tcp://10.6.74.40:39803 | 1.17.2 |\n", - "| tcp://10.6.74.40:39845 | 1.17.2 |\n", - "| tcp://10.6.74.40:40021 | 1.17.2 |\n", - "| tcp://10.6.74.40:40093 | 1.17.2 |\n", - "| tcp://10.6.74.40:40623 | 1.17.2 |\n", - "| tcp://10.6.74.40:40689 | 1.17.2 |\n", - "| tcp://10.6.74.40:41975 | 1.17.2 |\n", - "| tcp://10.6.74.40:42053 | 1.17.2 |\n", - "| tcp://10.6.74.40:42611 | 1.17.2 |\n", - "| tcp://10.6.74.40:43101 | 1.17.2 |\n", - "| tcp://10.6.74.40:43543 | 1.17.2 |\n", - "| tcp://10.6.74.40:43601 | 1.17.2 |\n", - "| tcp://10.6.74.40:43885 | 1.17.2 |\n", - "| tcp://10.6.74.40:44213 | 1.17.2 |\n", - "| tcp://10.6.74.40:44403 | 1.17.2 |\n", - "| tcp://10.6.74.40:44453 | 1.17.2 |\n", - "| tcp://10.6.74.40:44855 | 1.17.2 |\n", - "| tcp://10.6.74.40:44891 | 1.17.2 |\n", - "| tcp://10.6.74.40:45171 | 1.17.2 |\n", - "| tcp://10.6.74.40:45213 | 1.17.2 |\n", - "| tcp://10.6.74.40:45501 | 1.17.2 |\n", - "| tcp://10.6.74.40:45801 | 1.17.2 |\n", - "| tcp://10.6.74.40:45953 | 1.17.2 |\n", - "| tcp://10.6.74.40:45997 | 1.17.2 |\n", - "| tcp://10.6.74.40:46197 | 1.17.2 |\n", - "+------------------------+---------+\n", - " warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n" - ] - }, - { - "data": { - "text/plain": [ - "array([[1., 1., 1., ..., 1., 1., 1.],\n", - " [1., 1., 1., ..., 1., 1., 1.],\n", - " [1., 1., 1., ..., 1., 1., 1.],\n", - " ...,\n", - " [1., 1., 1., ..., 1., 1., 1.],\n", - " [1., 1., 1., ..., 1., 1., 1.],\n", - " [1., 1., 1., ..., 1., 1., 1.]])" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ones.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In order to understand what happened when we called `.compute( )`, we can visualize the dask graph, the symbolic operations that make up the array." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "ones.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Our array has four chunks. To generate it, dask calls np.ones four times and then concatenates them together into one array.\n", - "\n", - "Rather than immediately loading a dask array (which puts all the data into RAM), it is more common to want to reduce the data somehow. For example:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "sum_of_ones = ones.sum()\n", - "sum_of_ones.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we see dask's strategy for finding the sum. This simple example illustrates the beauty of dask: it automatically designs an algorithm appropriate for custom operations with big data.\n", - "\n", - "If we make our operation more complex, the graph gets more complex." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "fancy_calculation = (ones * ones[::-1, ::-1]).mean()\n", - "fancy_calculation.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Monitor large calculations with Progressbar\n", - "\n", - "When running large calculations, Dask also has some tools to help us understand what is happening under the hood." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Progressbar doesn't work when using a distributed scheduler as the backend. You can run `client.close( )` to close the distributed client. The key difference is that with multi threading/processing, the results are piped back to the control thread, but with distributed, they are calculated asynchronously on the cluster (even if that's on your local machine). \n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "bigshape = (200000, 4000)\n", - "big_ones = da.ones(bigshape, chunks=chunk_shape)\n", - "big_ones\n", - "\n", - "from dask.diagnostics import ProgressBar\n", - "\n", - "big_calc = (big_ones * big_ones[::-1, ::-1]).mean()\n", - "\n", - "with ProgressBar():\n", - " result = big_calc.compute()\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This dataset requires 3.2 GB of memory which may be close to or greater than the amount of available RAM than you have on your computer. Nevertheless, dask has no problem handling this.\n", - "\n", - "Do not try to .visualize( ) this array!\n", - "\n", - "When doing a big calculation, Dask also has some tools to help us understand what is happening under the hood." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There are two work arounds:\n", - "\n", - "1. Instead of calling the `ProgressBar` used for local diagnostics, we use the `dask.distributed` `progress` bar. The `progress` function takes a Dask object that is executing in the background:" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "bb409085811c4d74a599b5f3b456a1cf", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox()" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import time\n", - "from dask.distributed import progress\n", - "\n", - "futures = client.map(time.sleep, range(20))\n", - "progress(futures)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "2. To visualize the live progress with `dask.distributed`, you can use Bokeh dashboard on your http://youlocalhost:8787 or the http://localhost:xxxx, in which the port number was created when submitting a PBS job on Gadi under the Pangeo environment. We demonstrate Bokeh dashboard navigation in more detail in a separate tutorial. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Reduction\n", - "\n", - "All the usual numpy methods work on dask arrays. You can also apply a numpy function directly to a dask array, and it will stay lazy." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 32.00 kB 8.00 kB
Shape (4000,) (1000,)
Count 3472 Tasks 4 Chunks
Type float64 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 4000\n", - " 1\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import numpy as np\n", - "big_ones_reduce = (np.cos(big_ones)**2).mean(axis=0)\n", - "big_ones_reduce" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "from matplotlib import pyplot as plt\n", - "%matplotlib inline\n", - "plt.rcParams['figure.figsize'] = (12,8)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "plt.plot(big_ones_reduce)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example shows some basic concepts of the dask operations .compute( ), .visualize( ) and the diagnostic tool ProgressBar." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "https://rabernat.github.io/research_computing_2018/dask-for-parallel-computing-and-big-data.html" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_02_data_chunks_CMIP6-checkpoint.ipynb b/.ipynb_checkpoints/Dask_02_data_chunks_CMIP6-checkpoint.ipynb deleted file mode 100755 index 172b758..0000000 --- a/.ipynb_checkpoints/Dask_02_data_chunks_CMIP6-checkpoint.ipynb +++ /dev/null @@ -1,5648 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Data Chunking with Dask" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook we demonstrate:\n", - "\n", - "* Xarray + Dask\n", - "* NetCDF file Chunks versus Dask Chunks\n", - "* chunk shapes\n", - "\n", - "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. Please visit data collection [catalogue](https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563) and [CMIP6 terms of use](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html) for more information. \n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: CMIP6, Xarray, Dask, Chunks\n", - "- Create Date: 2019-June; Update Date: 2020-May\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Load the required modules" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "import netCDF4 as nc\n", - "import time\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Data\n", - "\n", - "We will use precipitation data update of RCP8.5 based on SSP5 from GFDL-CM4 ensembles in this example. Let's take a look at some of the data:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "netcdf pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231 {\r\n", - "dimensions:\r\n", - "\tlat = 180 ;\r\n", - "\tbnds = 2 ;\r\n", - "\tlon = 288 ;\r\n", - "\ttime = UNLIMITED ; // (7300 currently)\r\n", - "variables:\r\n", - "\tdouble lat(lat) ;\r\n", - "\t\tlat:long_name = \"latitude\" ;\r\n", - "\t\tlat:units = \"degrees_north\" ;\r\n", - "\t\tlat:axis = \"Y\" ;\r\n", - "\t\tlat:bounds = \"lat_bnds\" ;\r\n", - "\t\tlat:standard_name = \"latitude\" ;\r\n", - "\t\tlat:cell_methods = \"time: point\" ;\r\n", - "\t\tlat:_Storage = \"chunked\" ;\r\n", - "\t\tlat:_ChunkSizes = 180 ;\r\n", - "\t\tlat:_DeflateLevel = 2 ;\r\n", - "\t\tlat:_Shuffle = \"true\" ;\r\n", - "\t\tlat:_Endianness = \"little\" ;\r\n", - "\tdouble lat_bnds(lat, bnds) ;\r\n", - "\t\tlat_bnds:long_name = \"latitude bounds\" ;\r\n", - "\t\tlat_bnds:units = \"degrees_north\" ;\r\n", - "\t\tlat_bnds:axis = \"Y\" ;\r\n", - "\t\tlat_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlat_bnds:_ChunkSizes = 180, 2 ;\r\n", - "\t\tlat_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlat_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlat_bnds:_Endianness = \"little\" ;\r\n", - "\tdouble lon(lon) ;\r\n", - "\t\tlon:long_name = \"longitude\" ;\r\n", - "\t\tlon:units = \"degrees_east\" ;\r\n", - "\t\tlon:axis = \"X\" ;\r\n", - "\t\tlon:bounds = \"lon_bnds\" ;\r\n", - "\t\tlon:standard_name = \"longitude\" ;\r\n", - "\t\tlon:cell_methods = \"time: point\" ;\r\n", - "\t\tlon:_Storage = \"chunked\" ;\r\n", - "\t\tlon:_ChunkSizes = 288 ;\r\n", - "\t\tlon:_DeflateLevel = 2 ;\r\n", - "\t\tlon:_Shuffle = \"true\" ;\r\n", - "\t\tlon:_Endianness = \"little\" ;\r\n", - "\tdouble lon_bnds(lon, bnds) ;\r\n", - "\t\tlon_bnds:long_name = \"longitude bounds\" ;\r\n", - "\t\tlon_bnds:units = \"degrees_east\" ;\r\n", - "\t\tlon_bnds:axis = \"X\" ;\r\n", - "\t\tlon_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlon_bnds:_ChunkSizes = 288, 2 ;\r\n", - "\t\tlon_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlon_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlon_bnds:_Endianness = \"little\" ;\r\n", - "\tfloat pr(time, lat, lon) ;\r\n", - "\t\tpr:long_name = \"Precipitation\" ;\r\n", - "\t\tpr:units = \"kg m-2 s-1\" ;\r\n", - "\t\tpr:missing_value = 1.e+20f ;\r\n", - "\t\tpr:_FillValue = 1.e+20f ;\r\n", - "\t\tpr:cell_methods = \"area: time: mean\" ;\r\n", - "\t\tpr:cell_measures = \"area: areacella\" ;\r\n", - "\t\tpr:standard_name = \"precipitation_flux\" ;\r\n", - "\t\tpr:interp_method = \"conserve_order1\" ;\r\n", - "\t\tpr:original_name = \"pr\" ;\r\n", - "\t\tpr:_Storage = \"chunked\" ;\r\n", - "\t\tpr:_ChunkSizes = 1, 180, 288 ;\r\n", - "\t\tpr:_DeflateLevel = 2 ;\r\n", - "\t\tpr:_Shuffle = \"true\" ;\r\n", - "\t\tpr:_Endianness = \"little\" ;\r\n", - "\tdouble time(time) ;\r\n", - "\t\ttime:long_name = \"time\" ;\r\n", - "\t\ttime:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime:axis = \"T\" ;\r\n", - "\t\ttime:calendar_type = \"noleap\" ;\r\n", - "\t\ttime:calendar = \"noleap\" ;\r\n", - "\t\ttime:bounds = \"time_bnds\" ;\r\n", - "\t\ttime:standard_name = \"time\" ;\r\n", - "\t\ttime:description = \"Temporal mean\" ;\r\n", - "\t\ttime:_Storage = \"chunked\" ;\r\n", - "\t\ttime:_ChunkSizes = 1 ;\r\n", - "\t\ttime:_DeflateLevel = 2 ;\r\n", - "\t\ttime:_Shuffle = \"true\" ;\r\n", - "\t\ttime:_Endianness = \"little\" ;\r\n", - "\tdouble time_bnds(time, bnds) ;\r\n", - "\t\ttime_bnds:long_name = \"time axis boundaries\" ;\r\n", - "\t\ttime_bnds:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime_bnds:_Storage = \"chunked\" ;\r\n", - "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\r\n", - "\t\ttime_bnds:_DeflateLevel = 2 ;\r\n", - "\t\ttime_bnds:_Shuffle = \"true\" ;\r\n", - "\t\ttime_bnds:_Endianness = \"little\" ;\r\n", - "\r\n", - "// global attributes:\r\n", - "\t\t:external_variables = \"areacella\" ;\r\n", - "\t\t:history = \"File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_8FFywjr5HC,realiz_id_Lda2LtjE2s,run_id_Dj7oSa1Fj7]\" ;\r\n", - "\t\t:table_id = \"day\" ;\r\n", - "\t\t:activity_id = \"ScenarioMIP\" ;\r\n", - "\t\t:branch_method = \"standard\" ;\r\n", - "\t\t:branch_time_in_child = 0. ;\r\n", - "\t\t:comment = \"\" ;\r\n", - "\t\t:contact = \"gfdl.climate.model.info@noaa.gov\" ;\r\n", - "\t\t:Conventions = \"CF-1.7 CMIP-6.0 UGRID-1.0\" ;\r\n", - "\t\t:creation_date = \"2019-03-18T15:13:56Z\" ;\r\n", - "\t\t:data_specs_version = \"01.00.27\" ;\r\n", - "\t\t:experiment = \"update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:experiment_id = \"ssp585\" ;\r\n", - "\t\t:forcing_index = 1 ;\r\n", - "\t\t:frequency = \"day\" ;\r\n", - "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-CM4.ssp585.none.r1i1p1f1\" ;\r\n", - "\t\t:grid = \"atmos data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1\" ;\r\n", - "\t\t:grid_label = \"gr1\" ;\r\n", - "\t\t:initialization_index = 1 ;\r\n", - "\t\t:institution = \"National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA\" ;\r\n", - "\t\t:institution_id = \"NOAA-GFDL\" ;\r\n", - "\t\t:license = \"CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\r\n", - "\t\t:mip_era = \"CMIP6\" ;\r\n", - "\t\t:nominal_resolution = \"100 km\" ;\r\n", - "\t\t:parent_activity_id = \"CMIP\" ;\r\n", - "\t\t:parent_experiment_id = \"historical\" ;\r\n", - "\t\t:parent_mip_era = \"CMIP6\" ;\r\n", - "\t\t:parent_source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:parent_variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:physics_index = 1 ;\r\n", - "\t\t:product = \"model-output\" ;\r\n", - "\t\t:realization_index = 1 ;\r\n", - "\t\t:realm = \"atmos\" ;\r\n", - "\t\t:source = \"GFDL-CM4 (2018): \\n\",\r\n", - "\t\t\t\"aerosol: interactive\\n\",\r\n", - "\t\t\t\"atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa)\\n\",\r\n", - "\t\t\t\"atmosChem: fast chemistry, aerosol only\\n\",\r\n", - "\t\t\t\"land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bot level 10m); land:Veg:unnamed (dynamic vegetation, dynamic land use); land:Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes)\\n\",\r\n", - "\t\t\t\"landIce: GFDL-LM4.0.1\\n\",\r\n", - "\t\t\t\"ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m)\\n\",\r\n", - "\t\t\t\"ocnBgchem: GFDL-BLINGv2\\n\",\r\n", - "\t\t\t\"seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories)\\n\",\r\n", - "\t\t\t\"(GFDL ID: 2019_0186)\" ;\r\n", - "\t\t:source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:source_type = \"AOGCM\" ;\r\n", - "\t\t:sub_experiment = \"none\" ;\r\n", - "\t\t:sub_experiment_id = \"none\" ;\r\n", - "\t\t:title = \"NOAA GFDL GFDL-CM4 model output prepared for CMIP6 update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:tracking_id = \"hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\" ;\r\n", - "\t\t:variable_id = \"pr\" ;\r\n", - "\t\t:variant_info = \"N/A\" ;\r\n", - "\t\t:references = \"see further_info_url attribute\" ;\r\n", - "\t\t:variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:branch_time_in_parent = 60225. ;\r\n", - "\t\t:parent_time_units = \"days since 1850-1-1\" ;\r\n", - "\t\t:_SuperblockVersion = 2 ;\r\n", - "\t\t:_IsNetcdf4 = 1 ;\r\n", - "\t\t:_Format = \"netCDF-4 classic model\" ;\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!ncdump -hst '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Xarray + Dask\n", - "\n", - "Xarray can automatically wrap its data into Dask arrays. This capability turns Xarray into an extremely powerful tool when working with big earth science datasets. \n", - "\n", - "To see this in action, we will download a fairly large dataset to analyze. We use Xarray's `open_mfdataset` to allow multiple files to be opened simultaneously." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20350101-20541231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20550101-20741231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20750101-20941231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20950101-21001231.nc\r\n" - ] - } - ], - "source": [ - "!ls /g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701\n", - "path = '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/*'" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset>\n",
-       "Dimensions:    (bnds: 2, lat: 180, lon: 288, time: 31390)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time       (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(7300, 180, 2), meta=np.ndarray>\n",
-       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(7300, 288, 2), meta=np.ndarray>\n",
-       "    pr         (time, lat, lon) float32 dask.array<chunksize=(7300, 180, 288), meta=np.ndarray>\n",
-       "    time_bnds  (time, bnds) object dask.array<chunksize=(7300, 2), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    external_variables:     areacella\n",
-       "    history:                File was processed by fremetar (GFDL analog of CM...\n",
-       "    table_id:               day\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   0.0\n",
-       "    comment:                <null ref>\n",
-       "    contact:                gfdl.climate.model.info@noaa.gov\n",
-       "    Conventions:            CF-1.7 CMIP-6.0 UGRID-1.0\n",
-       "    creation_date:          2019-03-18T15:13:56Z\n",
-       "    data_specs_version:     01.00.27\n",
-       "    experiment:             update of RCP8.5 based on SSP5\n",
-       "    experiment_id:          ssp585\n",
-       "    forcing_index:          1\n",
-       "    frequency:              day\n",
-       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n",
-       "    grid:                   atmos data regridded from Cubed-sphere (c96) to 1...\n",
-       "    grid_label:             gr1\n",
-       "    initialization_index:   1\n",
-       "    institution:            National Oceanic and Atmospheric Administration, ...\n",
-       "    institution_id:         NOAA-GFDL\n",
-       "    license:                CMIP6 model data produced by NOAA-GFDL is license...\n",
-       "    mip_era:                CMIP6\n",
-       "    nominal_resolution:     100 km\n",
-       "    parent_activity_id:     CMIP\n",
-       "    parent_experiment_id:   historical\n",
-       "    parent_mip_era:         CMIP6\n",
-       "    parent_source_id:       GFDL-CM4\n",
-       "    parent_variant_label:   r1i1p1f1\n",
-       "    physics_index:          1\n",
-       "    product:                model-output\n",
-       "    realization_index:      1\n",
-       "    realm:                  atmos\n",
-       "    source:                 GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n",
-       "    source_id:              GFDL-CM4\n",
-       "    source_type:            AOGCM\n",
-       "    sub_experiment:         none\n",
-       "    sub_experiment_id:      none\n",
-       "    title:                  NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n",
-       "    tracking_id:            hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n",
-       "    variable_id:            pr\n",
-       "    variant_info:           N/A\n",
-       "    references:             see further_info_url attribute\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    parent_time_units:      days since 1850-1-1
" - ], - "text/plain": [ - "\n", - "Dimensions: (bnds: 2, lat: 180, lon: 288, time: 31390)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " pr (time, lat, lon) float32 dask.array\n", - " time_bnds (time, bnds) object dask.array\n", - "Attributes:\n", - " external_variables: areacella\n", - " history: File was processed by fremetar (GFDL analog of CM...\n", - " table_id: day\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " comment: \n", - " contact: gfdl.climate.model.info@noaa.gov\n", - " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", - " creation_date: 2019-03-18T15:13:56Z\n", - " data_specs_version: 01.00.27\n", - " experiment: update of RCP8.5 based on SSP5\n", - " experiment_id: ssp585\n", - " forcing_index: 1\n", - " frequency: day\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n", - " grid: atmos data regridded from Cubed-sphere (c96) to 1...\n", - " grid_label: gr1\n", - " initialization_index: 1\n", - " institution: National Oceanic and Atmospheric Administration, ...\n", - " institution_id: NOAA-GFDL\n", - " license: CMIP6 model data produced by NOAA-GFDL is license...\n", - " mip_era: CMIP6\n", - " nominal_resolution: 100 km\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: historical\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: GFDL-CM4\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " source: GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n", - " source_id: GFDL-CM4\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " title: NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n", - " tracking_id: hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n", - " variable_id: pr\n", - " variant_info: N/A\n", - " references: see further_info_url attribute\n", - " variant_label: r1i1p1f1\n", - " branch_time_in_parent: 60225.0\n", - " parent_time_units: days since 1850-1-1" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f_ssp585 = xr.open_mfdataset(path, combine='by_coords')\n", - "f_ssp585" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "NOTE: the values are not displayed, since that would trigger computation.\n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Chunks\n", - "\n", - "Notice that it says:`pr(time, lat, lon) float32 dask.array`. There is now the `chunksize` component. The data array also becomes a Dask array.\n", - "\n", - "The chunking of the array comes from the integration of Dask with Xarray. Dask divides the data array into small pieces called \"chunks\", with each chunk designed to be small enough to fit into memory. \n", - "\n", - "The file itself may be already chunked. Filesystem chunking is available in netCDF-4 and HDF5 datasets. The CMIP6 data should all be netCDF-4 and include some form of chunking for each file." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "netcdf pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231 {\r\n", - "dimensions:\r\n", - "\tlat = 180 ;\r\n", - "\tbnds = 2 ;\r\n", - "\tlon = 288 ;\r\n", - "\ttime = UNLIMITED ; // (7300 currently)\r\n", - "variables:\r\n", - "\tdouble lat(lat) ;\r\n", - "\t\tlat:long_name = \"latitude\" ;\r\n", - "\t\tlat:units = \"degrees_north\" ;\r\n", - "\t\tlat:axis = \"Y\" ;\r\n", - "\t\tlat:bounds = \"lat_bnds\" ;\r\n", - "\t\tlat:standard_name = \"latitude\" ;\r\n", - "\t\tlat:cell_methods = \"time: point\" ;\r\n", - "\t\tlat:_Storage = \"chunked\" ;\r\n", - "\t\tlat:_ChunkSizes = 180 ;\r\n", - "\t\tlat:_DeflateLevel = 2 ;\r\n", - "\t\tlat:_Shuffle = \"true\" ;\r\n", - "\t\tlat:_Endianness = \"little\" ;\r\n", - "\tdouble lat_bnds(lat, bnds) ;\r\n", - "\t\tlat_bnds:long_name = \"latitude bounds\" ;\r\n", - "\t\tlat_bnds:units = \"degrees_north\" ;\r\n", - "\t\tlat_bnds:axis = \"Y\" ;\r\n", - "\t\tlat_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlat_bnds:_ChunkSizes = 180, 2 ;\r\n", - "\t\tlat_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlat_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlat_bnds:_Endianness = \"little\" ;\r\n", - "\tdouble lon(lon) ;\r\n", - "\t\tlon:long_name = \"longitude\" ;\r\n", - "\t\tlon:units = \"degrees_east\" ;\r\n", - "\t\tlon:axis = \"X\" ;\r\n", - "\t\tlon:bounds = \"lon_bnds\" ;\r\n", - "\t\tlon:standard_name = \"longitude\" ;\r\n", - "\t\tlon:cell_methods = \"time: point\" ;\r\n", - "\t\tlon:_Storage = \"chunked\" ;\r\n", - "\t\tlon:_ChunkSizes = 288 ;\r\n", - "\t\tlon:_DeflateLevel = 2 ;\r\n", - "\t\tlon:_Shuffle = \"true\" ;\r\n", - "\t\tlon:_Endianness = \"little\" ;\r\n", - "\tdouble lon_bnds(lon, bnds) ;\r\n", - "\t\tlon_bnds:long_name = \"longitude bounds\" ;\r\n", - "\t\tlon_bnds:units = \"degrees_east\" ;\r\n", - "\t\tlon_bnds:axis = \"X\" ;\r\n", - "\t\tlon_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlon_bnds:_ChunkSizes = 288, 2 ;\r\n", - "\t\tlon_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlon_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlon_bnds:_Endianness = \"little\" ;\r\n", - "\tfloat pr(time, lat, lon) ;\r\n", - "\t\tpr:long_name = \"Precipitation\" ;\r\n", - "\t\tpr:units = \"kg m-2 s-1\" ;\r\n", - "\t\tpr:missing_value = 1.e+20f ;\r\n", - "\t\tpr:_FillValue = 1.e+20f ;\r\n", - "\t\tpr:cell_methods = \"area: time: mean\" ;\r\n", - "\t\tpr:cell_measures = \"area: areacella\" ;\r\n", - "\t\tpr:standard_name = \"precipitation_flux\" ;\r\n", - "\t\tpr:interp_method = \"conserve_order1\" ;\r\n", - "\t\tpr:original_name = \"pr\" ;\r\n", - "\t\tpr:_Storage = \"chunked\" ;\r\n", - "\t\tpr:_ChunkSizes = 1, 180, 288 ;\r\n", - "\t\tpr:_DeflateLevel = 2 ;\r\n", - "\t\tpr:_Shuffle = \"true\" ;\r\n", - "\t\tpr:_Endianness = \"little\" ;\r\n", - "\tdouble time(time) ;\r\n", - "\t\ttime:long_name = \"time\" ;\r\n", - "\t\ttime:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime:axis = \"T\" ;\r\n", - "\t\ttime:calendar_type = \"noleap\" ;\r\n", - "\t\ttime:calendar = \"noleap\" ;\r\n", - "\t\ttime:bounds = \"time_bnds\" ;\r\n", - "\t\ttime:standard_name = \"time\" ;\r\n", - "\t\ttime:description = \"Temporal mean\" ;\r\n", - "\t\ttime:_Storage = \"chunked\" ;\r\n", - "\t\ttime:_ChunkSizes = 1 ;\r\n", - "\t\ttime:_DeflateLevel = 2 ;\r\n", - "\t\ttime:_Shuffle = \"true\" ;\r\n", - "\t\ttime:_Endianness = \"little\" ;\r\n", - "\tdouble time_bnds(time, bnds) ;\r\n", - "\t\ttime_bnds:long_name = \"time axis boundaries\" ;\r\n", - "\t\ttime_bnds:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime_bnds:_Storage = \"chunked\" ;\r\n", - "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\r\n", - "\t\ttime_bnds:_DeflateLevel = 2 ;\r\n", - "\t\ttime_bnds:_Shuffle = \"true\" ;\r\n", - "\t\ttime_bnds:_Endianness = \"little\" ;\r\n", - "\r\n", - "// global attributes:\r\n", - "\t\t:external_variables = \"areacella\" ;\r\n", - "\t\t:history = \"File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_8FFywjr5HC,realiz_id_Lda2LtjE2s,run_id_Dj7oSa1Fj7]\" ;\r\n", - "\t\t:table_id = \"day\" ;\r\n", - "\t\t:activity_id = \"ScenarioMIP\" ;\r\n", - "\t\t:branch_method = \"standard\" ;\r\n", - "\t\t:branch_time_in_child = 0. ;\r\n", - "\t\t:comment = \"\" ;\r\n", - "\t\t:contact = \"gfdl.climate.model.info@noaa.gov\" ;\r\n", - "\t\t:Conventions = \"CF-1.7 CMIP-6.0 UGRID-1.0\" ;\r\n", - "\t\t:creation_date = \"2019-03-18T15:13:56Z\" ;\r\n", - "\t\t:data_specs_version = \"01.00.27\" ;\r\n", - "\t\t:experiment = \"update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:experiment_id = \"ssp585\" ;\r\n", - "\t\t:forcing_index = 1 ;\r\n", - "\t\t:frequency = \"day\" ;\r\n", - "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-CM4.ssp585.none.r1i1p1f1\" ;\r\n", - "\t\t:grid = \"atmos data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1\" ;\r\n", - "\t\t:grid_label = \"gr1\" ;\r\n", - "\t\t:initialization_index = 1 ;\r\n", - "\t\t:institution = \"National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA\" ;\r\n", - "\t\t:institution_id = \"NOAA-GFDL\" ;\r\n", - "\t\t:license = \"CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\r\n", - "\t\t:mip_era = \"CMIP6\" ;\r\n", - "\t\t:nominal_resolution = \"100 km\" ;\r\n", - "\t\t:parent_activity_id = \"CMIP\" ;\r\n", - "\t\t:parent_experiment_id = \"historical\" ;\r\n", - "\t\t:parent_mip_era = \"CMIP6\" ;\r\n", - "\t\t:parent_source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:parent_variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:physics_index = 1 ;\r\n", - "\t\t:product = \"model-output\" ;\r\n", - "\t\t:realization_index = 1 ;\r\n", - "\t\t:realm = \"atmos\" ;\r\n", - "\t\t:source = \"GFDL-CM4 (2018): \\n\",\r\n", - "\t\t\t\"aerosol: interactive\\n\",\r\n", - "\t\t\t\"atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa)\\n\",\r\n", - "\t\t\t\"atmosChem: fast chemistry, aerosol only\\n\",\r\n", - "\t\t\t\"land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bot level 10m); land:Veg:unnamed (dynamic vegetation, dynamic land use); land:Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes)\\n\",\r\n", - "\t\t\t\"landIce: GFDL-LM4.0.1\\n\",\r\n", - "\t\t\t\"ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m)\\n\",\r\n", - "\t\t\t\"ocnBgchem: GFDL-BLINGv2\\n\",\r\n", - "\t\t\t\"seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories)\\n\",\r\n", - "\t\t\t\"(GFDL ID: 2019_0186)\" ;\r\n", - "\t\t:source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:source_type = \"AOGCM\" ;\r\n", - "\t\t:sub_experiment = \"none\" ;\r\n", - "\t\t:sub_experiment_id = \"none\" ;\r\n", - "\t\t:title = \"NOAA GFDL GFDL-CM4 model output prepared for CMIP6 update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:tracking_id = \"hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\" ;\r\n", - "\t\t:variable_id = \"pr\" ;\r\n", - "\t\t:variant_info = \"N/A\" ;\r\n", - "\t\t:references = \"see further_info_url attribute\" ;\r\n", - "\t\t:variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:branch_time_in_parent = 60225. ;\r\n", - "\t\t:parent_time_units = \"days since 1850-1-1\" ;\r\n", - "\t\t:_SuperblockVersion = 2 ;\r\n", - "\t\t:_IsNetcdf4 = 1 ;\r\n", - "\t\t:_Format = \"netCDF-4 classic model\" ;\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!ncdump -hst '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc'" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### In this case the file is chunked such that `pr:_ChunkSizes = 1, 180, 288 ;`\n", - "\n", - "Here we see that the data is chunked in time, where one chunk is one time-step and all points in lat-lon.\n", - "\n", - "![](images/chunks.png)\n", - "image source: https://www.unidata.ucar.edu/blogs/developer/en/entry/chunking_data_why_it_matters\n", - "\n", - "Consider 2 types of data access\n", - "1. Accessing a 2D lat-lon slice in time (RHS figure)\n", - "2. Accessing a time series at a single lat-lon point (LHS figure)\n", - "\n", - "With the chunking above, the first type of data access only requires access to a single chunk, while the second type needs to access ALL the chunks of the data array regardless. This dataset will be fastest for 2D lat-lon single time-step data access.\n", - "\n", - "In general, even without chunking - when the data is accessed contiguously (by index order) - time is the slowest variable to access, then y, with x being the fastest. With the chunking method of this CMIP6 dataset, time still remains the slowest variable. More uniform variable access speeds would require more evenly spaced chunks.\n", - "\n", - "### Exercise\n", - "\n", - "Time how long it takes to load the precipitation data at `time='2015-01-01'` and then time how long it takes to load the data at `lat=0` and `lon=180` (remember to use `method='nearest'` for the latter case). How much difference in time is there when using these different access methods?\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 20.7 ms, sys: 12.7 ms, total: 33.4 ms\n", - "Wall time: 99.6 ms\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 1, lat: 180, lon: 288)>\n",
-       "array([[[1.1679080e-07, 1.1679080e-07, 1.1679080e-07, ...,\n",
-       "         1.1679080e-07, 1.1679080e-07, 1.1679080e-07],\n",
-       "        [5.6357038e-08, 5.6899808e-08, 5.7449537e-08, ...,\n",
-       "         5.4770052e-08, 5.5292201e-08, 5.5821182e-08],\n",
-       "        [7.7667160e-08, 7.7346748e-08, 7.7024652e-08, ...,\n",
-       "         7.8618250e-08, 7.8302911e-08, 7.7985881e-08],\n",
-       "        ...,\n",
-       "        [7.0853553e-06, 7.2527428e-06, 7.4210134e-06, ...,\n",
-       "         6.5884897e-06, 6.7532287e-06, 6.9188504e-06],\n",
-       "        [2.2063125e-05, 2.2134822e-05, 2.2207438e-05, ...,\n",
-       "         2.1853495e-05, 2.1922468e-05, 2.1992342e-05],\n",
-       "        [3.0045994e-05, 3.0045994e-05, 3.0045994e-05, ...,\n",
-       "         3.0045994e-05, 3.0045994e-05, 3.0045994e-05]]], dtype=float32)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon      (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time     (time) object 2015-01-01 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([[[1.1679080e-07, 1.1679080e-07, 1.1679080e-07, ...,\n", - " 1.1679080e-07, 1.1679080e-07, 1.1679080e-07],\n", - " [5.6357038e-08, 5.6899808e-08, 5.7449537e-08, ...,\n", - " 5.4770052e-08, 5.5292201e-08, 5.5821182e-08],\n", - " [7.7667160e-08, 7.7346748e-08, 7.7024652e-08, ...,\n", - " 7.8618250e-08, 7.8302911e-08, 7.7985881e-08],\n", - " ...,\n", - " [7.0853553e-06, 7.2527428e-06, 7.4210134e-06, ...,\n", - " 6.5884897e-06, 6.7532287e-06, 6.9188504e-06],\n", - " [2.2063125e-05, 2.2134822e-05, 2.2207438e-05, ...,\n", - " 2.1853495e-05, 2.1922468e-05, 2.1992342e-05],\n", - " [3.0045994e-05, 3.0045994e-05, 3.0045994e-05, ...,\n", - " 3.0045994e-05, 3.0045994e-05, 3.0045994e-05]]], dtype=float32)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(time='2015-01-01').load()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 37.4 s, sys: 3.65 s, total: 41 s\n", - "Wall time: 42.3 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The same volume of data can take orders of magnitude longer to load\n", - "\n", - "The spatial dataset contained 51840 data-points and took in the order of 100ms to load. The time-series dataset had 31390 data-points and took about 10,000 ms to load.\n", - "\n", - "
\n", - "NOTE: If you look at the dashboard, the task stream actually shows that the most time consuming part is data concatenation. \n", - "
\n", - "\n", - "Chunking and the ways in which data is read is important when considering both how you access the data and if you wish to parallelise your code." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### NetCDF file Chunks versus Dask Chunks\n", - "\n", - "Keep in mind, Dask chunking is different to chunking of the stored data. As we saw in our example, the stored data was chunked with chunks of size (1,180,288) whereas the Dask array had a chunk size of (7300, 180, 288). It's possible to change the chunking size in the Dask array. In the example below, we are specifying that there are 730 chunks in time." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset>\n",
-       "Dimensions:    (bnds: 2, lat: 180, lon: 288, time: 31390)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time       (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(7300, 180, 2), meta=np.ndarray>\n",
-       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(7300, 288, 2), meta=np.ndarray>\n",
-       "    pr         (time, lat, lon) float32 dask.array<chunksize=(730, 180, 288), meta=np.ndarray>\n",
-       "    time_bnds  (time, bnds) object dask.array<chunksize=(730, 2), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    external_variables:     areacella\n",
-       "    history:                File was processed by fremetar (GFDL analog of CM...\n",
-       "    table_id:               day\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   0.0\n",
-       "    comment:                <null ref>\n",
-       "    contact:                gfdl.climate.model.info@noaa.gov\n",
-       "    Conventions:            CF-1.7 CMIP-6.0 UGRID-1.0\n",
-       "    creation_date:          2019-03-18T15:13:56Z\n",
-       "    data_specs_version:     01.00.27\n",
-       "    experiment:             update of RCP8.5 based on SSP5\n",
-       "    experiment_id:          ssp585\n",
-       "    forcing_index:          1\n",
-       "    frequency:              day\n",
-       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n",
-       "    grid:                   atmos data regridded from Cubed-sphere (c96) to 1...\n",
-       "    grid_label:             gr1\n",
-       "    initialization_index:   1\n",
-       "    institution:            National Oceanic and Atmospheric Administration, ...\n",
-       "    institution_id:         NOAA-GFDL\n",
-       "    license:                CMIP6 model data produced by NOAA-GFDL is license...\n",
-       "    mip_era:                CMIP6\n",
-       "    nominal_resolution:     100 km\n",
-       "    parent_activity_id:     CMIP\n",
-       "    parent_experiment_id:   historical\n",
-       "    parent_mip_era:         CMIP6\n",
-       "    parent_source_id:       GFDL-CM4\n",
-       "    parent_variant_label:   r1i1p1f1\n",
-       "    physics_index:          1\n",
-       "    product:                model-output\n",
-       "    realization_index:      1\n",
-       "    realm:                  atmos\n",
-       "    source:                 GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n",
-       "    source_id:              GFDL-CM4\n",
-       "    source_type:            AOGCM\n",
-       "    sub_experiment:         none\n",
-       "    sub_experiment_id:      none\n",
-       "    title:                  NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n",
-       "    tracking_id:            hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n",
-       "    variable_id:            pr\n",
-       "    variant_info:           N/A\n",
-       "    references:             see further_info_url attribute\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    parent_time_units:      days since 1850-1-1
" - ], - "text/plain": [ - "\n", - "Dimensions: (bnds: 2, lat: 180, lon: 288, time: 31390)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " pr (time, lat, lon) float32 dask.array\n", - " time_bnds (time, bnds) object dask.array\n", - "Attributes:\n", - " external_variables: areacella\n", - " history: File was processed by fremetar (GFDL analog of CM...\n", - " table_id: day\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " comment: \n", - " contact: gfdl.climate.model.info@noaa.gov\n", - " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", - " creation_date: 2019-03-18T15:13:56Z\n", - " data_specs_version: 01.00.27\n", - " experiment: update of RCP8.5 based on SSP5\n", - " experiment_id: ssp585\n", - " forcing_index: 1\n", - " frequency: day\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n", - " grid: atmos data regridded from Cubed-sphere (c96) to 1...\n", - " grid_label: gr1\n", - " initialization_index: 1\n", - " institution: National Oceanic and Atmospheric Administration, ...\n", - " institution_id: NOAA-GFDL\n", - " license: CMIP6 model data produced by NOAA-GFDL is license...\n", - " mip_era: CMIP6\n", - " nominal_resolution: 100 km\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: historical\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: GFDL-CM4\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " source: GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n", - " source_id: GFDL-CM4\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " title: NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n", - " tracking_id: hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n", - " variable_id: pr\n", - " variant_info: N/A\n", - " references: see further_info_url attribute\n", - " variant_label: r1i1p1f1\n", - " branch_time_in_parent: 60225.0\n", - " parent_time_units: days since 1850-1-1" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "f_ssp585 = xr.open_mfdataset(path,chunks={'time':730}, combine='by_coords')\n", - "\n", - "f_ssp585" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### How big do you make your chunks?\n", - "\n", - "The rule of thumb for Dask chunks is that you should \"create arrays with a minimum chunksize of at least one million elements\": http://xarray.pydata.org/en/stable/dask.html#chunking-and-performance\n", - "\n", - "NetCDF4 chunks are often a lot smaller than Dask array chunks. The minimum chunksize exists because if you have too many chunks, queuing of operations when parallelising will be slow. If the chunk sizes are too large, computation and memory can be wasted. The default chunks from dask gave us chunks of size (7300, 180, 288) or nearly 400 million elements so we could try reducing those chunks if needed. The larger the array, the larger the cost of queueing and therefore larger chunks may be needed.\n", - "\n", - "#### IMPORTANT: Whatever Dask array chunks you use, make sure they align with the netCDF4 file chunks!!\n", - "\n", - "So far our chunks have been in time, and the netCDF4 file is also chunked in time. If we tried to use dask chunks to optimise the time-series loading of data, it would not help! " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Exercise\n", - "\n", - "Try to load the data in with chunks size `(31390,180,1)` (i.e. chunked in lon) and name that file `f_bad_chunk`. Next, try reloading the time series of pr at `lat=0` and `lon=180` and time how long this takes." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "f_bad_chunk = xr.open_mfdataset(path,chunks={'time':31390,'lat':180,'lon':1}, combine='by_coords')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Try running your previous code for `f_bad_chunk` again loading the time series of pr at `lat=0` and `lon=180` and time how long it takes if you scale up or down the number of workers. \n", - "\n", - "Do the same with the original chunking method of `f_ssp585` and see if there is a difference.\n", - "\n", - "We will use three different schedulers to read the data. First, let's initiate a client." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 38.1 s, sys: 3.18 s, total: 41.2 s\n", - "Wall time: 40.6 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_bad_chunk.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='synchronous')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 38.5 s, sys: 3.12 s, total: 41.7 s\n", - "Wall time: 40.9 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_bad_chunk.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='threads')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 440 ms, sys: 247 ms, total: 687 ms\n", - "Wall time: 14.3 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_bad_chunk.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='processes')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's switch the scheduler to `threaded scheduler`:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 38.7 s, sys: 2.52 s, total: 41.3 s\n", - "Wall time: 40.9 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='synchronous')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 39.1 s, sys: 3.04 s, total: 42.1 s\n", - "Wall time: 41.6 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='threads')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 458 ms, sys: 184 ms, total: 643 ms\n", - "Wall time: 13.7 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390)>\n",
-       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
-       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
-       "Coordinates:\n",
-       "    lat      float64 0.5\n",
-       "    lon      float64 180.6\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='processes')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Poor chunking with dask can make your performance worse!\n", - "\n", - "As you can see, bad chunks and the alignment of the chunks slow down the I/O performance significantly. They are both important to keep in mind when creating Dask chunks. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example shows how to make data chunking with Dask. \n", - "\n", - "For further information regarding Dask, please see: https://docs.dask.org/en/latest/" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_05_dataframes_ACTweather-checkpoint.ipynb b/.ipynb_checkpoints/Dask_05_dataframes_ACTweather-checkpoint.ipynb deleted file mode 100755 index 7883846..0000000 --- a/.ipynb_checkpoints/Dask_05_dataframes_ACTweather-checkpoint.ipynb +++ /dev/null @@ -1,1443 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask DataFrames\n", - "\n", - "In this notebook we demonstrate how to work with dask dataframes. \n", - "\n", - "* A few words about dask dataframes\n", - "* Weather station data\n", - "* Tuning read_csv\n", - "* Compute using dask.dataframe\n", - "* Write to Parquet for better performance\n", - "* Read Parquet to compare\n", - "* More calculation exercises\n", - "* Dask.dataframe vs. Pandas\n", - "\n", - "-----\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Dataframe, csv, partition\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask-tutorial](https://github.com/dask/dask-tutorial)\n", - "----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "\n", - "## Dask DataFrames\n", - "\n", - "In this tutorial, we build a parallel dataframe computation over a directory of Paleoceanography CSV files with `dask.delayed`. We use `dask.dataframe` to automatically build similiar computations for the common case of tabular computations. Dask dataframes look and feel like Pandas dataframes but they run on the same infrastructure that powers `dask.delayed`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Dask DataFrame Data Model\n", - "\n", - "So far, the biggest difference we've seen is that Dask operations are lazy; they build up a task graph instead of executing immediately.\n", - "This lets Dask do operations in parallel and out of core.\n", - "\n", - "In the Dask array example, we saw that a `dask.array` was composed of many NumPy arrays, chunked along one or more dimensions. It's similar for `dask.dataframe`: a Dask DataFrame is composed of many pandas DataFrames. For `dask.dataframe` the chunking happens only along the index.\n", - "\n", - "\n", - "\n", - "We call each chunk a *partition*, and the upper / lower bounds are *divisions*.\n", - "Dask *can* store information about the divisions. You can operate on dataframe per partition at a time when you write custom functions to apply to Dask DataFrames." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `dask.dataframe` module implements a blocked parallel `DataFrame` object that mimics a large subset of the Pandas `DataFrame`. One Dask `DataFrame` is comprised of many in-memory Pandas `DataFrames` separated along the index. One operation on a Dask `DataFrame` triggers many Pandas operations on the constituent Pandas `DataFrame` in a way that is mindful of potential parallelism and memory constraints.\n", - "\n", - "**Main take-aways**\n", - "\n", - "1. Dask DataFrame should be familiar to Pandas users\n", - "2. The partitioning of dataframes is important for efficient execution" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### When to use `dask.dataframe`\n", - "\n", - "In this notebook we use the weather stations within 50km of Acton, ACT. The data can be downloaded from [the Australian Bureau of Meterology climate data service site](http://www.bom.gov.au/climate/data/stations/). Rather than writing for-loops, we let `dask.dataframe` construct our computations. The `dask.dataframe.read_csv` function can take a globstring like `\"data/weather_stations_ACT/*.csv\"` and build parallel computations on all of our data at once.\n", - "\n", - "Pandas is great for tabular datasets that fit in memory. Dask becomes useful when the dataset you want to analyze is larger than your machine's RAM. The demo dataset we're working with is only about 65MB, so that you can download it in a reasonable time, but `dask.dataframe` will scale to datasets much larger than memory." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set up\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 38957 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weather station data" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_*_*/IDCJAC0009*.csv'" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import os\n", - "import dask\n", - "filename = os.path.join('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", - "filename" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Filename includes a glob pattern `*`, so all files in the path matching that pattern will be read into the same Dask DataFrame." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can read one file with `pandas.read_csv` or many files with `dask.dataframe.read_csv`" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
0IDCJAC0009420102015110.0NaNY
1IDCJAC00094201020151220.01.0Y
2IDCJAC00094201020151315.21.0Y
3IDCJAC0009420102015140.0NaNY
4IDCJAC0009420102015150.0NaNY
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "0 IDCJAC0009 42010 2015 1 1 \n", - "1 IDCJAC0009 42010 2015 1 2 \n", - "2 IDCJAC0009 42010 2015 1 3 \n", - "3 IDCJAC0009 42010 2015 1 4 \n", - "4 IDCJAC0009 42010 2015 1 5 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "0 0.0 \n", - "1 20.0 \n", - "2 15.2 \n", - "3 0.0 \n", - "4 0.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "0 NaN Y \n", - "1 1.0 Y \n", - "2 1.0 Y \n", - "3 NaN Y \n", - "4 NaN Y " - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "df = pd.read_csv('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_042010_2015/IDCJAC0009_042010_2015_Data.csv')\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Dask DataFrame Structure:
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
npartitions=125
objectint64int64int64int64float64float64object
........................
...........................
........................
........................
\n", - "
\n", - "
Dask Name: read-csv, 125 tasks
" - ], - "text/plain": [ - "Dask DataFrame Structure:\n", - " Product code Bureau of Meteorology station number Year Month Day Rainfall amount (millimetres) Period over which rainfall was measured (days) Quality\n", - "npartitions=125 \n", - " object int64 int64 int64 int64 float64 float64 object\n", - " ... ... ... ... ... ... ... ...\n", - "... ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - "Dask Name: read-csv, 125 tasks" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice that the respresentation of the dataframe object contains no data - Dask has just done enough to read the start of the first file, and infer the column names and dtypes.\n", - "\n", - "Also data dataframe uses \"from-delayed\" so that 375 tasks are read efficiently into the memory. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can view the start and end of the data" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
0IDCJAC0009420102015110.0NaNY
1IDCJAC00094201020151220.01.0Y
2IDCJAC00094201020151315.21.0Y
3IDCJAC0009420102015140.0NaNY
4IDCJAC0009420102015150.0NaNY
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "0 IDCJAC0009 42010 2015 1 1 \n", - "1 IDCJAC0009 42010 2015 1 2 \n", - "2 IDCJAC0009 42010 2015 1 3 \n", - "3 IDCJAC0009 42010 2015 1 4 \n", - "4 IDCJAC0009 42010 2015 1 5 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "0 0.0 \n", - "1 20.0 \n", - "2 15.2 \n", - "3 0.0 \n", - "4 0.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "0 NaN Y \n", - "1 1.0 Y \n", - "2 1.0 Y \n", - "3 NaN Y \n", - "4 NaN Y " - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "tags": [ - "raises-exception" - ] - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
1395IDCJAC0009731482007102712.53.0Y
1396IDCJAC000973148200710281.01.0Y
1397IDCJAC0009731482007102910.41.0Y
1398IDCJAC000973148200710300.0NaNY
1399IDCJAC000973148200710310.0NaNY
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "1395 IDCJAC0009 73148 2007 10 27 \n", - "1396 IDCJAC0009 73148 2007 10 28 \n", - "1397 IDCJAC0009 73148 2007 10 29 \n", - "1398 IDCJAC0009 73148 2007 10 30 \n", - "1399 IDCJAC0009 73148 2007 10 31 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "1395 12.5 \n", - "1396 1.0 \n", - "1397 10.4 \n", - "1398 0.0 \n", - "1399 0.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "1395 3.0 Y \n", - "1396 1.0 Y \n", - "1397 1.0 Y \n", - "1398 NaN Y \n", - "1399 NaN Y " - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.tail() " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1754661" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# load and count number of rows\n", - "len(dd)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "What happened here?\n", - "- Dask investigated the input path and found all 125 matching files (see **npartitions=125**)\n", - "- a set of jobs was intelligently created for each chunk - one per original CSV file in this case\n", - "- each file was loaded into a pandas dataframe, had `len()` applied to it\n", - "- the subtotals were combined to give you the final grand total." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tuning read_csv\n", - "\n", - "The Pandas `read_csv` function has many options to help you parse files. The Dask version uses the Pandas function internally, and so supports many of the same options. You can use the `?` operator to see the full documentation string." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "pd.read_csv?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this case we use the `parse_dates` keyword to parse the timestamp column to be a datetime. This will make things more efficient in the future. Notice that the dtype of the timestamp column has changed from `object` to `datetime64[ns]`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unlike `pandas.read_csv` which reads in the entire file before inferring data types, `dask.dataframe.read_csv` only reads in a sample from the beginning of the file (or first file if using **glob**). These inferred data types are then enforced when reading all partitions.\n", - "\n", - "In this case, the datatypes inferred in the sample are incorrect. The `Bureau of Meteorology station number` should be strings (`object` dtype), rather than integers. Note that Dask gives an informative error message about the mismatch. We can fix this by directly specifying the `dtypes` of the offending columns. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Computations with `dask.dataframe`\n", - "\n", - "We compute the maximum of the `Rainfall amount (millimetres)` column. With just Pandas, we would loop over each file to find the individual maximums, then find the final maximum over all the individual maximums\n", - "\n", - "```python\n", - "from glob import glob\n", - "\n", - "maxes = []\n", - "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_*_*/IDCJAC0009*.csv'))\n", - "for fn in filenames:\n", - " df = pd.read_csv(fn)\n", - " # rename column names to shorter strings\n", - " df.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - " maxes.append(df.rainfall.max())\n", - " \n", - "final_max = max(maxes)\n", - "```\n", - "\n", - "We could wrap that `pd.read_csv` with `dask.delayed` so that it runs in parallel. Regardless, we're still having to think about loops, intermediate results (one per file) and the final reduction (`max` of the intermediate maxes). This is just noise around the real task, which Pandas solves with\n", - "\n", - "```python\n", - "df.rainfall.max()\n", - "```\n", - "\n", - "`dask.dataframe` lets us write pandas-like code that operates on larger than memory datasets in parallel.\n", - "\n", - "**Compare the runtime of the following two blocks of code:**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "322.1\n", - "CPU times: user 1.44 s, sys: 439 ms, total: 1.88 s\n", - "Wall time: 1.92 s\n" - ] - } - ], - "source": [ - "%%time\n", - "\n", - "from glob import glob\n", - "\n", - "maxes = []\n", - "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_*_*/IDCJAC0009*.csv'))\n", - "\n", - "for fn in filenames:\n", - " df = pd.read_csv(fn)\n", - " # rename column names to shorter strings\n", - " df.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - " maxes.append(df.rainfall.max())\n", - " \n", - "final_max = max(maxes)\n", - "\n", - "print(final_max)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 382 ms, sys: 30.5 ms, total: 412 ms\n", - "Wall time: 937 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "322.1" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - "%time dd.rainfall.max().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This writes the delayed computation for us and then runs it. \n", - "\n", - "Some things to note:\n", - "\n", - "1. As with `dask.delayed`, we need to call `.compute()` when we're done. Up until this point everything is lazy.\n", - "2. Dask will delete intermediate results (like the full pandas dataframe for each file) as soon as possible.\n", - " - This lets us handle datasets that are larger than memory\n", - " - This means that repeated computations will have to load all of the data in each time (run the code above again, is it faster or slower than you would expect?)\n", - " \n", - "As with `Delayed` objects, you can view the underlying task graph using the `.visualize` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "dot: graph is too large for cairo-renderer bitmaps. Scaling by 0.964104 to fit\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# notice the parallelism\n", - "dd.rainfall.max().visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Write to Parquet\n", - "\n", - "Whenever we operate on our dataframe we read through all of our CSV data so that we don’t fill up RAM. This is very efficient for memory use, but reading through all of the CSV files every time can be slow.\n", - "\n", - "Instead, we’ll store our data in Parquet, a binary format that is more efficient for computers to read and write. Parquet stores nested data structures in a flat columnar format. Compared to the traditional row-oriented storage approach, Parquet is more efficient in terms of storage and performance." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/dk92/packages/pyarrow/compat.py:25: FutureWarning: pyarrow.compat has been deprecated and will be removed in a future release\n", - " \"future release\", FutureWarning)\n" - ] - } - ], - "source": [ - "# Please change /g/data/dk92/data/ACT_weather.parquet to a directory you have write permissions to \n", - "dd.to_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_common_metadata part.14.parquet part.43.parquet part.72.parquet\r\n", - "_metadata\t part.15.parquet part.44.parquet part.73.parquet\r\n", - "part.0.parquet\t part.16.parquet part.45.parquet part.74.parquet\r\n", - "part.100.parquet part.17.parquet part.46.parquet part.75.parquet\r\n", - "part.101.parquet part.18.parquet part.47.parquet part.76.parquet\r\n", - "part.102.parquet part.19.parquet part.48.parquet part.77.parquet\r\n", - "part.103.parquet part.1.parquet part.49.parquet part.78.parquet\r\n", - "part.104.parquet part.20.parquet part.4.parquet part.79.parquet\r\n", - "part.105.parquet part.21.parquet part.50.parquet part.7.parquet\r\n", - "part.106.parquet part.22.parquet part.51.parquet part.80.parquet\r\n", - "part.107.parquet part.23.parquet part.52.parquet part.81.parquet\r\n", - "part.108.parquet part.24.parquet part.53.parquet part.82.parquet\r\n", - "part.109.parquet part.25.parquet part.54.parquet part.83.parquet\r\n", - "part.10.parquet part.26.parquet part.55.parquet part.84.parquet\r\n", - "part.110.parquet part.27.parquet part.56.parquet part.85.parquet\r\n", - "part.111.parquet part.28.parquet part.57.parquet part.86.parquet\r\n", - "part.112.parquet part.29.parquet part.58.parquet part.87.parquet\r\n", - "part.113.parquet part.2.parquet part.59.parquet part.88.parquet\r\n", - "part.114.parquet part.30.parquet part.5.parquet part.89.parquet\r\n", - "part.115.parquet part.31.parquet part.60.parquet part.8.parquet\r\n", - "part.116.parquet part.32.parquet part.61.parquet part.90.parquet\r\n", - "part.117.parquet part.33.parquet part.62.parquet part.91.parquet\r\n", - "part.118.parquet part.34.parquet part.63.parquet part.92.parquet\r\n", - "part.119.parquet part.35.parquet part.64.parquet part.93.parquet\r\n", - "part.11.parquet part.36.parquet part.65.parquet part.94.parquet\r\n", - "part.120.parquet part.37.parquet part.66.parquet part.95.parquet\r\n", - "part.121.parquet part.38.parquet part.67.parquet part.96.parquet\r\n", - "part.122.parquet part.39.parquet part.68.parquet part.97.parquet\r\n", - "part.123.parquet part.3.parquet part.69.parquet part.98.parquet\r\n", - "part.124.parquet part.40.parquet part.6.parquet part.99.parquet\r\n", - "part.12.parquet part.41.parquet part.70.parquet part.9.parquet\r\n", - "part.13.parquet part.42.parquet part.71.parquet\r\n" - ] - } - ], - "source": [ - "!ls /g/data/dk92/notebooks/demo_data/ACT_weather.parquet " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Read from Parquet" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 592 ms, sys: 261 ms, total: 853 ms\n", - "Wall time: 777 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "322.1" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time \n", - "new_df = pd.read_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')\n", - "new_df.rainfall.max()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Select only the columns that you plan to use\n", - "\n", - "Parquet is a column-store, which means that it can efficiently pull out the columns of interest from your dataset. This is useful as it helps to avoid unnecessary data loading." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 349 ms, sys: 50.5 ms, total: 400 ms\n", - "Wall time: 382 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "322.1" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "new_df = pd.read_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', columns=['rainfall'], engine='pyarrow')\n", - "new_df.rainfall.max()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercises\n", - "\n", - "In this section we do a few `dask.dataframe` computations. These should be familiar to you if you are comfortable with Pandas. You will have to think about when to call `compute( )`.\n", - "\n", - "### 1.) How many rows are in our dataset?\n", - "\n", - "If you aren't familiar with Pandas, how would you check how many records are in a list of tuples?" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1754661" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(dd)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 2.) In total, how many days records were taken?\n", - "\n", - "*Hint*: `count()` counts non-NaN values." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "period 418018\n", - "dtype: int64" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "period = pd.read_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', columns=['period'], engine='pyarrow')\n", - "period.count()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 3.) In total, how many non-record days are there from each weather station?\n", - "\n", - "*Hint*: use [`df.groupby`](https://pandas.pydata.org/pandas-docs/stable/groupby.html)." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "station\n", - "42010 41\n", - "70000 10222\n", - "70011 11574\n", - "70014 8377\n", - "70015 6168\n", - " ... \n", - "70354 1010\n", - "71073 4099\n", - "72011 2606\n", - "72157 377\n", - "73148 243\n", - "Name: period, Length: 125, dtype: int64" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.groupby(\"station\").period.count().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### 4.) What was the average rainfall at each station?" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "station\n", - "42010 1.372022\n", - "70000 1.767808\n", - "70011 1.760142\n", - "70014 1.689061\n", - "70015 1.791328\n", - " ... \n", - "70354 1.790016\n", - "71073 2.526155\n", - "72011 2.510485\n", - "72157 2.541190\n", - "73148 1.709147\n", - "Name: rainfall, Length: 125, dtype: float64" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.groupby(\"station\").rainfall.mean().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Sharing Intermediate Results\n", - "\n", - "When computing all of the above, we sometimes performed the same operation more than once. For most operations, `dask.dataframe` hashes the arguments allowing duplicate computations to be shared and only computed once.\n", - "\n", - "For example, let's compute the mean and standard deviation for all station rainfall. Since Dask operations are lazy, those values aren't the final results but rather the recipe required to obtain these results.\n", - "\n", - "If we compute them with two calls to compute, there is no sharing of intermediate computations." - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "mean_rainfall= dd.groupby(\"station\").period.count().mean()\n", - "std_rainfall = dd.groupby(\"station\").period.count().std()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 901 ms, sys: 83.7 ms, total: 984 ms\n", - "Wall time: 2.18 s\n" - ] - } - ], - "source": [ - "%%time\n", - "mean_rainfall_val = mean_rainfall.compute()\n", - "std_rainfall_val = std_rainfall.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's try passing both `mean_rainfall` and `std_rainfall` to a single `compute` call." - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 646 ms, sys: 68.4 ms, total: 714 ms\n", - "Wall time: 1.51 s\n" - ] - } - ], - "source": [ - "%%time\n", - "\n", - "mean_rainfall_val, std_rainfall_val = dask.compute(mean_rainfall, std_rainfall)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using `dask.compute` takes roughly half the time. This is because the task graphs for both results are merged when calling `dask.compute`, allowing shared operations to only be done once instead of twice. In particular, using `dask.compute` only does the following once:\n", - "\n", - "- the calls to dataframe object\n", - "- groupby each station\n", - "- get the non-value of periods\n", - "\n", - "To see what the merged task graphs between multiple results look like (and what's shared), you can use the `dask.visualize` function (you may want to use `filename='graph.pdf'` to allow you to zoom in on the graph):" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "dask.visualize(mean_rainfall,std_rainfall,filename='graph.pdf')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## How does this compare to Pandas?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Pandas is more mature and fully featured than `dask.dataframe`. If your data fits in memory then Pandas may be a better option to use. The `dask.dataframe` module gives you a limited `Pandas` experience when you operate on datasets that don't fit comfortably in memory.\n", - "\n", - "During this tutorial we provide a small dataset consisting of a few CSV files. This dataset is 65MB on disk, small enough that you would normally use Pandas.\n", - "\n", - "We've chosen this size so that the tutorial exercises finish quickly. Dask.dataframe only really becomes meaningful for problems significantly larger than those presented in this tutorial, when Pandas breaks with the dreaded \n", - "\n", - " MemoryError: ...\n", - " \n", - "Furthermore, the distributed scheduler allows the same dataframe expressions to be executed across a cluster. To enable massive \"big data\" processing, one could execute data ingestion functions such as `read_csv`, where the data is held on storage accessible to every worker node. As most operations begin by selecting only some columns for transforming and filtering, only relatively small amounts of data need to be communicated between machines.\n", - "\n", - "Dask.dataframe operations use `Pandas` operations internally. Generally they run at about the same speed except for the following two cases:\n", - "\n", - "1. Dask introduces a bit of overhead, around 1ms per task. This is usually negligible.\n", - "2. When Pandas releases the Global Interpreter Lock (GIL - coming to `groupby` in the next version), `dask.dataframe` can call several Pandas operations in parallel within a process, increasing speed somewhat proportional to the number of cores. For operations which don't release the GIL, multiple processes would be needed to obtain the same speedup." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Limitations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### What doesn't work?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dask.dataframe only covers a small but well-used portion of the Pandas API.\n", - "This limitation is for two reasons:\n", - "\n", - "1. The Pandas API is **huge**\n", - "2. Some operations are genuinely hard to do in parallel (e.g. sort)\n", - "\n", - "Additionally, some important operations like ``set_index`` work, but are slower\n", - "than in Pandas because they include substantial shuffling of data, and may write out to disk." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Learn More\n", - "\n", - "\n", - "* [DataFrame documentation](https://docs.dask.org/en/latest/dataframe.html)\n", - "* [DataFrame screencast](https://youtu.be/AT2XtFehFSQ)\n", - "* [DataFrame API](https://docs.dask.org/en/latest/dataframe-api.html)\n", - "* [DataFrame examples](https://examples.dask.org/dataframe.html)\n", - "* [Pandas documentation](https://pandas.pydata.org/pandas-docs/stable/)" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_06_schedulers_ACTweather-checkpoint.ipynb b/.ipynb_checkpoints/Dask_06_schedulers_ACTweather-checkpoint.ipynb deleted file mode 100755 index cdf29cc..0000000 --- a/.ipynb_checkpoints/Dask_06_schedulers_ACTweather-checkpoint.ipynb +++ /dev/null @@ -1,559 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask Schedulers\n", - "\n", - "In this notebook we demonstrate how to set up different dask schedulars.\n", - "* A few words about dask schedulars\n", - "* Dask Schedulars on a single machine\n", - " * local thread\n", - " * local processes\n", - " * single thread\n", - "* Apply schedular options to weather station data\n", - "* Distributed schedulars (local)\n", - "\n", - "-----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Dataframe, schedulars\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask-tutorial](https://github.com/dask/dask-tutorial).\n", - "\n", - "----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Schedulers\n", - "\n", - "In the previous notebooks, we used `dask.delayed` and `dask.dataframe` to parallelise computations.\n", - "This work built a *task graph* instead of executing immediately, with each *task* representing a function to call on some data. The full *graph* shows the relationship between all of the different tasks.\n", - "\n", - "When we wanted the actual result, we called `compute` or `load`, which handed the task graph off to a *scheduler*.\n", - "\n", - "**Schedulers are responsible for running a task graph and producing a result**.\n", - "\n", - "![](https://raw.githubusercontent.com/dask/dask-org/master/images/grid_search_schedule.gif)\n", - "\n", - "First, there are the single machine schedulers that execute things in parallel using threads or processes (or synchronously for debugging). These are what we've used up until now. Second, there's the `dask.distributed` scheduler, which is newer and has more features than the single machine scheduler.\n", - "\n", - "In this notebook we'll first talk about the different schedulers. Then we'll use the `dask.distributed` scheduler in more depth." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Local Schedulers\n", - "\n", - "Dask separates computation description (task graphs) from execution (schedulers). This allows you to write code once, and run it locally or scale it out across a cluster.\n", - "\n", - "Dask has two families of task schedulers:\n", - "\n", - "- Single machine scheduler: This scheduler provides basic features on a local process or thread pool. This scheduler was made first and is the default. It is simple and cheap to use, although it can only be used on a single machine and does not scale.\n", - "\n", - "- Distributed scheduler: This scheduler is more sophisticated, offers more features, but also requires a bit more effort to set up. It can run locally or distributed across a cluster.\n", - "\n", - "For different computations you may find better performance with particular scheduler settings. This session helps you understand how to choose between and configure different schedulers, and provides guidelines on which one might be more appropriate.\n", - "\n", - "#### Local Threads\n", - "\n", - "```python\n", - "- `dask.config.set(scheduler='threads')` # overwrite default with threaded scheduler\n", - "```\n", - "\n", - "The threaded scheduler executes computations with a local multiprocessing.pool.ThreadPool. It is lightweight and requires no setup. It introduces very little task overhead (around 50us per task) and, because everything occurs in the same process, it incurs no costs to transfer data between tasks. However, due to Python’s Global Interpreter Lock (GIL), this scheduler only provides parallelism when your computation is dominated by non-Python code, as is primarily the case when operating on numeric data in NumPy arrays, Pandas DataFrames, or using any of the other C/C++/Cython based projects in the ecosystem.\n", - "\n", - "The threaded scheduler is the default choice for Dask Array, Dask DataFrame, and Dask Delayed. However, if your computation is dominated by processing pure Python objects like strings, dicts, or lists, then you may want to try one of the process-based schedulers below (we currently recommend the distributed scheduler on a local machine).\n", - "\n", - "#### Local Processes\n", - "\n", - "```python\n", - "import dask.multiprocessing\n", - "dask.config.set(scheduler='processes') # overwrite default with multiprocessing scheduler\n", - "```\n", - "\n", - "The multiprocessing scheduler executes computations with a local multiprocessing.Pool. It is lightweight to use and requires no setup. Every task and all of its dependencies are shipped to a local process, executed, and then their result is shipped back to the main process. This means that it is able to bypass issues with the GIL and provide parallelism even on computations that are dominated by pure Python code, such as those that process strings, dicts, and lists.\n", - "\n", - "However, moving data to remote processes and back can introduce performance penalties, particularly when the data being transferred between processes is large. The multiprocessing scheduler is an excellent choice when workflows are relatively linear, and so does not involve significant inter-task data transfer as well as when inputs and outputs are both small, like filenames and counts.\n", - "\n", - "#### Single Thread\n", - "\n", - "```python\n", - "import dask\n", - "dask.config.set(scheduler='synchronous') # overwrite default with single-threaded scheduler\n", - "```\n", - "\n", - "The single-threaded synchronous scheduler executes all computations in the local thread with no parallelism at all. This is particularly valuable for debugging and profiling, which are more difficult when using threads or processes.\n", - "\n", - "For example, when using IPython or Jupyter notebooks, the `%debug`, `%pdb`, or `%prun` magics will not work well when using the parallel Dask schedulers (they were not designed to be used in a parallel computing context). However, if you run into an exception and want to step into the debugger, you may wish to rerun your computation under the single-threaded scheduler where these tools will function properly.\n", - "\n", - "Here we discuss the *local* schedulers - schedulers that run only on a single machine. In each case we change the scheduler used in a few different ways:\n", - "\n", - "- By providing a `scheduler=` keyword argument to `compute`:\n", - "\n", - "```python\n", - "max_rain.compute(scheduler='processes')\n", - "# or \n", - "max_rain.compute(scheduler='synchronous')\n", - "```\n", - "\n", - "- Using `dask.set_options`:\n", - "\n", - "```python\n", - "# Use multiprocessing in this block\n", - "with dask.set_options(scheduler='processes'):\n", - " max_rain.compute()\n", - "# Use multiprocessing globally\n", - "dask.set_options(scheduler='synchronous')\n", - "```\n", - "\n", - "Here we repeat a simple dataframe computation from the previous section using the different schedulers:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import dask.dataframe as dd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "filename = os.path.join('/g/data/dk92/notebooks/demo_data/', 'Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", - "df = dd.read_csv(filename)\n", - "# rename column headers\n", - "df.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - "# Maximum rainfall\n", - "max_rain=df.rainfall.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dd.Scalar" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "max_rain" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 2.79 s, sys: 1.34 s, total: 4.13 s\n", - "Wall time: 2.82 s\n" - ] - } - ], - "source": [ - "%time _ = max_rain.compute() # this uses threads by default" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 473 ms, sys: 102 ms, total: 575 ms\n", - "Wall time: 3.07 s\n" - ] - } - ], - "source": [ - "import dask.multiprocessing\n", - "%time _ = max_rain.compute(scheduler='processes') # this uses processes" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 2.03 s, sys: 606 ms, total: 2.63 s\n", - "Wall time: 2.84 s\n" - ] - } - ], - "source": [ - "%time _ = max_rain.compute(scheduler='synchronous') # This uses a single thread" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By default the threaded and multiprocessing schedulers use the same number of workers as cores. You can change this using the `num_workers` keyword in the same way that you specified `scheduler` above:\n", - "\n", - "```\n", - "max_rain.compute(scheduler='processes', num_workers=2)\n", - "```\n", - "\n", - "To see how many cores you have on your computer, you can use `multiprocessing.cpu_count`" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "8" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from multiprocessing import cpu_count\n", - "cpu_count()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Some Questions to Consider:\n", - "\n", - "- How much speedup is possible for this task (hint, look at the graph).\n", - "- Given how many cores are on this machine, how much faster could the parallel schedulers be than the single-threaded scheduler.\n", - "- How much faster was using threads over a single thread? Why does this differ from the optimal speedup?\n", - "- Why is the multiprocessing scheduler so much slower here?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## In what cases would you want to use one scheduler over another?\n", - "\n", - "http://dask.pydata.org/en/latest/setup/single-machine.html" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Distributed Scheduler\n", - "\n", - "The `dask.distributed` system is composed of a single centralized scheduler and many worker processes. [Deploying](http://dask.pydata.org/en/latest/setup.html) a remote Dask cluster involves some additional effort. But doing things locally just involves creating a `Client` object, which lets you interact with the \"cluster\" (local threads or processes on your machine). For more information see [here](http://dask.pydata.org/en/latest/setup/single-distributed.html)." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import Client\n", - "\n", - "# Setup a local cluster.\n", - "# By default this sets up 1 worker per core\n", - "client = Client()\n", - "client.cluster" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "By default, creating a `Client` makes it the default scheduler. Any calls to `.compute` will use the cluster your `client` is attached to (See http://dask.pydata.org/en/latest/scheduling.html for how to specify which scheduler to use)." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 615 ms, sys: 69.5 ms, total: 685 ms\n", - "Wall time: 2.49 s\n" - ] - }, - { - "data": { - "text/plain": [ - "322.1" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time max_rain.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Some Questions to Consider\n", - "\n", - "- How does this compare to the optimal parallel speedup?\n", - "- Why is this faster than the threaded scheduler?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Exercise\n", - "\n", - "Run the following computations while looking at the diagnostics page. In each case what is taking the most time?" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "import dask\n", - "import pandas as pd\n", - "filename = os.path.join('/g/data/dk92/notebooks/demo_data/', 'Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", - "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd.columns = ['code','station','year','month','day','rainfall','period','quality']" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1754661" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### 1.) How many rows are in our dataset?\n", - "len(dd)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "period 418018\n", - "dtype: int64" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### 2.) In total, how many days records were taken?\n", - "period = pd.read_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', columns=['period'], engine='pyarrow')\n", - "period.count()" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "station\n", - "42010 41\n", - "70000 10222\n", - "70011 11574\n", - "70014 8377\n", - "70015 6168\n", - " ... \n", - "70354 1010\n", - "71073 4099\n", - "72011 2606\n", - "72157 377\n", - "73148 243\n", - "Name: period, Length: 125, dtype: int64" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### 3.) In total, how many non-record days from each weather station?\n", - "dd.groupby(\"station\").period.count().compute()" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "station\n", - "42010 1.372022\n", - "70000 1.767808\n", - "70011 1.760142\n", - "70014 1.689061\n", - "70015 1.791328\n", - " ... \n", - "70354 1.790016\n", - "71073 2.526155\n", - "72011 2.510485\n", - "72157 2.541190\n", - "73148 1.709147\n", - "Name: rainfall, Length: 125, dtype: float64" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "### 4.) What was the average rainfall from each station?\n", - "dd.groupby(\"station\").rainfall.mean().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### More...\n", - "\n", - "The distributed scheduler is more sophisticated than the single machine schedulers. It can compute asynchronously, and also provides an api similar to that of `concurrent.futures`. For further information you can see the docs http://distributed.readthedocs.io/en/latest/." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "https://docs.dask.org/en/latest/scheduling.html" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_07_numpy_temperature-checkpoint.ipynb b/.ipynb_checkpoints/Dask_07_numpy_temperature-checkpoint.ipynb deleted file mode 100755 index 3bb77c2..0000000 --- a/.ipynb_checkpoints/Dask_07_numpy_temperature-checkpoint.ipynb +++ /dev/null @@ -1,18254 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask Array scales NumPy\n", - "\n", - "In this notebook we demonstrate how Numpy arrays are scaled up by Dask Array:\n", - "\n", - "* Blocked algorithm\n", - "* Dask.array chunks\n", - "* Parallelism\n", - "* Performance comparison\n", - "* Real example\n", - "-----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: ND array, Dask, Numpy, Scale \n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Basics\n", - "\n", - "Dask arrays coordinate many Numpy arrays, arranged into chunks within a grid. They support a large subset of the Numpy API.\n", - "\n", - "" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dask array provides a parallel, larger-than-memory, n-dimensional array using blocked algorithms. Simply put: distributed Numpy.\n", - "\n", - "* **Parallel**: Uses all of the cores on your computer\n", - "* **Larger-than-memory**: Lets you work on datasets that are larger than your available memory by breaking up your array into many smaller pieces, operating on those pieces in an order that minimises the memory footprint of your computation, and effectively streaming data from disk.\n", - "* **Blocked Algorithms**: Perform large computations by performing many smaller computations\n", - "\n", - "In this notebook, we'll build up your understanding by implementing some blocked algorithms from scratch.\n", - "We'll then use Dask Array to analyze large datasets, in parallel, using a familiar NumPy-like API." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Set up\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
\n", - "\n", - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Blocked Algorithms" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "A *blocked algorithm* executes on a large dataset by breaking it up into many small blocks.\n", - "\n", - "For example, consider taking the sum of a billion numbers. We might instead break up the array into 1,000 chunks, each of size 1,000,000, take the sum of each chunk, and then take the sum of the intermediate sums.\n", - "\n", - "We achieve the intended result (one sum on one billion numbers) by performing many smaller results (one thousand sums on one million numbers each, followed by another sum of a thousand numbers).\n", - "\n", - "We demonstrate this concept with Python and NumPy in the following example:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Load data with h5py\n", - "# this creates a pointer to the data, but does not actually load\n", - "import h5py\n", - "import os\n", - "f = h5py.File(os.path.join('/g/data/dk92/notebooks/demo_data/', 'random.hdf5'), mode='r')\n", - "dset = f['/x']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Compute sum using blocked algorithm**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Before using dask, let's consider the concept of blocked algorithms. We can compute the sum of a large number of elements by loading them chunk-by-chunk, and keeping a running total.\n", - "\n", - "Here we compute the sum of this large array on disk by \n", - "\n", - "1. Computing the sum of each 1,000,000 sized chunk of the array\n", - "2. Computing the sum of the 1,000 intermediate sums\n", - "3. Computing the mean by dividing the length of the array\n", - "\n", - "Note that this is a sequential process in the notebook kernel, both the loading and summing." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9999990765625\n" - ] - } - ], - "source": [ - "# Compute mean of large array, one million numbers at a time\n", - "sums = []\n", - "lengths = []\n", - "for i in range(0, 1000000000, 1000000):\n", - " chunk = dset[i: i + 1000000] # pull out numpy array\n", - " sums.append(chunk.sum())\n", - " lengths.append(len(chunk))\n", - "\n", - "total = sum(sums)\n", - "length = sum(lengths)\n", - "print(total / length)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`dask.array` contains these algorithms\n", - "--------------------------------------------\n", - "\n", - "Dask.array is a NumPy-like library that does these kinds of tricks to operate on large datasets that don't fit into memory. It extends beyond the linear problems discussed above to full N-Dimensional algorithms and a decent subset of the NumPy interface." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Create `dask.array` object**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can create a `dask.array` `Array` object using the `da.from_array` function. This function accepts\n", - "\n", - "1. `data`: Any object that supports NumPy slicing, like `dset`\n", - "2. `chunks`: A chunk size to tell us how to block up our array, like `(1000000,)`" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 4.00 GB 4.00 MB
Shape (1000000000,) (1000000,)
Count 1001 Tasks 1000 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 1000000000\n", - " 1\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.array as da\n", - "x = da.from_array(dset, chunks=(1000000,))\n", - "x" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Manipulate `dask.array` object as you would a numpy array" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now that we have an `Array`, we perform standard numpy-style computations like arithmetic, mathematics, slicing, reductions, etc..\n", - "\n", - "The interface is familiar, but the actual work is different. `dask_array.sum()` does not do the same thing as `numpy_array.sum()`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**What's the difference?**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`dask_array.sum()` builds an expression of the computation but does not perform the computation. `numpy_array.sum()` computes the sum immediately." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Why the difference?*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dask arrays are split into chunks where each chunk must have computations run on that chunk explicitly. If the desired answer comes from a small slice of the entire dataset, running the computation over all data would be wasteful of both CPU and memory." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 4 B 4 B
Shape () ()
Count 2335 Tasks 1 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result = x.sum()\n", - "result" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Compute result**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dask.array objects are lazily evaluated. Operations like `.sum` build up a graph of blocked tasks to execute. \n", - "\n", - "We ask for the final result with a call to `.compute()`. This triggers the actual computation." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "999999100.0" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Performance and Parallelism\n", - "-------------------------------\n", - "\n", - "In our first examples we used `for` loops to walk through the array one block at a time. For simple operations like `sum` this is optimal. However, for complex operations we may want to traverse through the array differently. In particular we may want the following:\n", - "\n", - "1. Use multiple cores in parallel\n", - "2. Chain operations on a single blocks before moving on to the next one\n", - "\n", - "Dask.array translates your array operations into a graph of inter-related tasks with data dependencies between them. Dask then executes this graph in parallel with multiple threads. We'll discuss more about this in the next section." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "1. Construct a 20000x20000 array of normally distributed random values broken up into 1000x1000 sized chunks\n", - "2. Take the mean along one axis\n", - "3. Take every 100th element" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import dask.array as da\n", - "\n", - "x = da.random.normal(10, 0.1, size=(20000, 20000), # 400 million element array \n", - " chunks=(1000, 1000)) # Cut into 1000x1000 sized chunks\n", - "y = x.mean(axis=0)[::100] # Perform NumPy-style operations" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "3.2" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x.nbytes / 1e9 # Gigabytes of the input processed lazily" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 14.8 s, sys: 586 ms, total: 15.4 s\n", - "Wall time: 581 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([ 9.99938103, 10.00064745, 10.00040572, 9.99881962, 10.00146319,\n", - " 10.00005499, 10.00002758, 9.9998595 , 9.99969424, 9.99917483,\n", - " 10.00106627, 10.00057161, 9.99959142, 10.00032669, 9.99964276,\n", - " 9.99925115, 10.00063681, 10.0004385 , 9.99955528, 9.99971731,\n", - " 10.00028028, 10.0007021 , 10.000158 , 9.99985733, 9.99979616,\n", - " 9.99936674, 9.99960328, 9.99974596, 10.00045983, 10.00029563,\n", - " 10.00106218, 9.99911835, 9.99993286, 10.00036412, 9.9998652 ,\n", - " 10.00053087, 9.99879533, 10.00007209, 10.00042856, 9.99941677,\n", - " 9.999347 , 9.99935858, 10.00133573, 9.99957877, 10.00116734,\n", - " 10.00101781, 9.99946054, 9.99962106, 9.99963509, 9.99894383,\n", - " 9.99881127, 10.00125916, 10.00041348, 10.00040898, 9.99988564,\n", - " 9.99967628, 10.0009286 , 10.0001622 , 10.00052473, 9.99859889,\n", - " 10.00111362, 10.00031248, 9.99892278, 9.99955333, 10.000854 ,\n", - " 10.00044594, 9.99979214, 9.99850461, 10.00023029, 9.99988068,\n", - " 10.00012774, 10.00087089, 10.00009777, 9.99994524, 9.99910438,\n", - " 9.99954412, 10.0008127 , 9.99953912, 9.99991431, 9.99890971,\n", - " 9.99988049, 9.99939227, 9.99860374, 10.00061844, 9.99952085,\n", - " 9.99950197, 9.99871017, 10.00011652, 9.999516 , 10.00059728,\n", - " 10.00062294, 9.9987993 , 10.00076682, 9.99992673, 9.99966851,\n", - " 10.00012824, 10.00115515, 10.00097052, 9.9999108 , 9.99934751,\n", - " 10.00141021, 9.99917881, 9.99985431, 9.99930537, 10.00148903,\n", - " 10.00003848, 10.00092976, 9.99931981, 9.99921465, 10.00137424,\n", - " 9.9993073 , 10.00030814, 10.00091756, 10.00012394, 10.00017428,\n", - " 9.99989033, 9.99943287, 10.00020388, 10.00079234, 10.00011439,\n", - " 9.99947242, 9.99989328, 10.00098953, 9.99952404, 10.00002601,\n", - " 10.00137239, 9.99959543, 10.00073282, 10.00019194, 10.00102016,\n", - " 10.00068411, 10.00038318, 10.00005586, 10.00083594, 9.99997669,\n", - " 9.999945 , 9.99854263, 9.99994078, 10.00126578, 10.00014424,\n", - " 9.99986117, 10.00020917, 9.99977632, 10.000028 , 10.00103305,\n", - " 9.99823028, 10.00004241, 9.99979663, 10.00128387, 9.99860813,\n", - " 9.99988453, 9.99972013, 10.0003523 , 9.99915191, 10.00030238,\n", - " 10.00027885, 9.99963504, 10.00057437, 9.9991833 , 9.99918809,\n", - " 9.99878342, 9.99968741, 9.99918856, 9.99986811, 9.99984134,\n", - " 10.00143094, 10.00043573, 9.99977191, 9.99893428, 10.0001747 ,\n", - " 10.00060652, 10.00030929, 10.00017459, 10.00088691, 9.99933322,\n", - " 10.00121383, 9.99971777, 10.00038873, 10.00015032, 9.99976946,\n", - " 10.00042477, 10.00043363, 10.00044989, 9.99954232, 10.00105394,\n", - " 10.0008884 , 9.99947757, 9.99975456, 10.00017967, 9.99902775,\n", - " 9.99850093, 10.0000169 , 10.00009426, 10.00122816, 10.00035779,\n", - " 10.00078701, 10.00061958, 9.99965349, 9.99989515, 9.99954055])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "y.compute() # Time to compute the result" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Performance comparision\n", - "---------------------------\n", - "\n", - "The following experiment was performed on Gadi using 96 cores. Your performance may vary. If you attempt the NumPy version then please ensure that you have more than 4GB of main memory." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 11.9 s, sys: 522 ms, total: 12.4 s\n", - "Wall time: 12.4 s\n" - ] - } - ], - "source": [ - "%%time \n", - "x = np.random.normal(10, 0.1, size=(20000, 20000)) \n", - "y = x.mean(axis=0)[::100] " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 14.7 s, sys: 518 ms, total: 15.2 s\n", - "Wall time: 549 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "array([ 9.9994958 , 10.00124004, 9.99963182, 10.00146857, 9.99902228,\n", - " 9.99978813, 9.99962262, 9.99963678, 10.00001201, 10.00023147,\n", - " 9.99974386, 10.0002456 , 10.00058744, 9.9985044 , 10.00079832,\n", - " 10.00059694, 9.99831551, 10.00070029, 9.9985315 , 10.00031714,\n", - " 10.00088454, 9.99969299, 9.99977356, 10.00001548, 9.99983297,\n", - " 9.99925631, 9.999118 , 9.99943597, 9.99862845, 10.00027806,\n", - " 9.99906488, 9.99994397, 9.99978581, 9.99968157, 10.00043586,\n", - " 10.00061755, 9.99963644, 9.99968376, 9.99909432, 9.99928937,\n", - " 10.00045833, 9.99922056, 9.99946104, 9.99881563, 9.99964062,\n", - " 9.99939866, 10.00016169, 10.00041782, 9.99975114, 9.99990844,\n", - " 10.0003207 , 10.00020182, 10.00040307, 10.00043866, 10.00129254,\n", - " 10.0009308 , 10.00040972, 10.00052889, 9.99926252, 10.00056768,\n", - " 10.00078358, 10.00042405, 10.00080931, 10.00049596, 10.00008177,\n", - " 10.00026019, 9.99991002, 9.99984725, 10.00042971, 9.9997154 ,\n", - " 9.99981828, 10.00028641, 9.99962805, 10.00126026, 9.99994431,\n", - " 10.00032595, 9.99884592, 10.00066689, 9.99994137, 10.00076527,\n", - " 9.99974663, 9.99957313, 9.99896403, 10.00090294, 10.00043988,\n", - " 9.99959349, 10.00006593, 9.9998735 , 9.99887063, 10.00064186,\n", - " 10.00051834, 9.99794044, 9.99978204, 10.0003494 , 10.00008063,\n", - " 9.99935597, 10.00116853, 9.99880184, 10.00059034, 10.0006369 ,\n", - " 9.99850358, 10.00002702, 9.9993735 , 9.99862199, 9.99831291,\n", - " 9.99892007, 9.99949949, 9.99958771, 9.99905939, 10.00026819,\n", - " 10.00062022, 9.99955191, 10.00108683, 9.99999399, 9.99970716,\n", - " 10.00019971, 9.99957762, 9.99944398, 10.00067818, 10.00048732,\n", - " 10.00046358, 10.00098355, 9.99979594, 9.99922371, 9.9996549 ,\n", - " 10.00059153, 9.99991035, 10.00008519, 9.99978904, 10.00011708,\n", - " 10.00076028, 9.99915868, 9.99952973, 9.99977217, 10.00053454,\n", - " 10.00119327, 9.99945434, 9.99970584, 9.99987704, 10.00193632,\n", - " 9.99960482, 10.00068336, 9.9985064 , 9.99994355, 10.0015674 ,\n", - " 9.9998276 , 10.00051143, 9.99962763, 9.99935274, 10.00068047,\n", - " 10.0004732 , 9.99928734, 10.00022636, 10.00017657, 9.99949931,\n", - " 10.00118015, 10.00022457, 9.99919669, 10.00082343, 9.99906297,\n", - " 10.00003779, 10.00040982, 9.99978448, 9.99962424, 10.0003449 ,\n", - " 10.00139501, 10.00042384, 9.99961522, 9.99878358, 9.99991066,\n", - " 9.99917775, 10.00111879, 10.00021687, 9.99928647, 10.0005636 ,\n", - " 10.00029384, 10.00018601, 9.99964196, 10.00065013, 9.99938639,\n", - " 9.99955681, 9.99926822, 9.99986076, 10.00058271, 9.99974262,\n", - " 10.00003597, 10.00054035, 10.00137296, 9.99902713, 10.00030204,\n", - " 10.00031499, 10.00056162, 10.00028014, 10.00005827, 10.00007397,\n", - " 9.99990718, 9.99898039, 10.00030521, 10.00091329, 9.99937328])" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "x = da.random.normal(10, 0.1, size=(20000, 20000), chunks=(1000, 1000))\n", - "y = x.mean(axis=0)[::100] \n", - "y.compute() " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**NumPy: 12s, Needs gigabytes of memory**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```python\n", - "import numpy as np\n", - "\n", - "%%time \n", - "x = np.random.normal(10, 0.1, size=(20000, 20000)) \n", - "y = x.mean(axis=0)[::100] \n", - "y\n", - "\n", - "CPU times: user 11.9 s, sys: 538 ms, total: 12.5 s\n", - "Wall time: 12.4 s\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Dask Array: 1s, Needs megabytes of memory**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```python\n", - "import dask.array as da\n", - "\n", - "%%time\n", - "x = da.random.normal(10, 0.1, size=(20000, 20000), chunks=(1000, 1000))\n", - "y = x.mean(axis=0)[::100] \n", - "y.compute() \n", - "\n", - "CPU times: user 126 ms, sys: 8.41 ms, total: 135 ms\n", - "Wall time: 549 ms\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Discussion**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Notice that the Dask array computation ran in less than 1 second, but used 126 ms of user CPU time. The numpy computation ran in 12.5 seconds and used 11.9 seconds of user CPU time." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*Questions*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "* What happens if the dask chunks=(20000,20000)?\n", - " * Will the computation run in 4 seconds?\n", - " * How much memory will be used?\n", - "* What happens if the dask chunks=(25,25)?\n", - " * What happens to CPU and memory?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Real example\n", - "\n", - "### Meteorological data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "There is 5 GB of Australian temperature data over the past twenty years kindly provided by Morwenna Griffiths () from the Bureau of Meterology. This demo data only serves to demonstrate the dask array performance. Please refer to a proper Australian temperature data collection at [NCI's data catlogue](https://geonetwork.nci.org.au/) . \n", - "\n", - "The data is available in `/g/data/dk92/notebooks/demo_data/temp_data`. \n", - "\n", - "We'll use `dask.array` to compute on this dataset. Our goal is to visualize the average surface temperature in January across Australia over the last ten years. This will require a mean over all of this data. We'll achieve this goal by running the following steps:\n", - "\n", - "1. Create `xarray.Dataset` objects for each of the days of data on disk (`dsets`)\n", - "2. Wrap these with `da.from_array` calls \n", - "3. Concatenate these datasets along time with a call to `da.concatenate`\n", - "4. Compute the mean along the newly concatenated time axis with the `.mean()` method\n", - "5. Visualize the result with `matplotlib.pyplot.imshow`" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2010.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2011.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2012.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2013.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2014.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2015.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2016.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2017.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2018.nc',\n", - " '/g/data/dk92/notebooks/demo_data/temp_data/tmax_mean_0.05_2019.nc']" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from glob import glob\n", - "import os\n", - "import xarray as xr\n", - "import netCDF4 \n", - "\n", - "filenames = sorted(glob(os.path.join('/g/data/dk92/notebooks/demo_data/temp_data', 'tmax*201?.nc')))\n", - "filenames" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "Show/Hide data repr\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Show/Hide attributes\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
xarray.Dataset
    • lat: 691
    • lon: 886
    • nv: 2
    • time: 365
    • time
      (time)
      datetime64[ns]
      2010-01-01T09:00:00 ... 2010-12-31T09:00:00
      axis :
      T
      time_zone :
      local time
      bounds :
      time_bnds
      array(['2010-01-01T09:00:00.000000000', '2010-01-02T09:00:00.000000000',\n",
      -       "       '2010-01-03T09:00:00.000000000', ..., '2010-12-29T09:00:00.000000000',\n",
      -       "       '2010-12-30T09:00:00.000000000', '2010-12-31T09:00:00.000000000'],\n",
      -       "      dtype='datetime64[ns]')
    • lat
      (lat)
      float32
      -44.5 -44.45 -44.4 ... -10.05 -10.0
      long_name :
      latitude
      standard_name :
      latitude
      units :
      degrees_north
      bounds :
      lat_bnds
      axis :
      Y
      array([-44.5 , -44.45, -44.4 , ..., -10.1 , -10.05, -10.  ], dtype=float32)
    • lon
      (lon)
      float32
      112.0 112.05 112.1 ... 156.2 156.25
      long_name :
      longitude
      standard_name :
      longitude
      units :
      degrees_east
      bounds :
      lon_bnds
      axis :
      X
      array([112.  , 112.05, 112.1 , ..., 156.15, 156.2 , 156.25], dtype=float32)
    • lat_bnds
      (lat, nv)
      float32
      ...
      array([[-44.525   , -44.475   ],\n",
      -       "       [-44.475002, -44.425   ],\n",
      -       "       [-44.425003, -44.375   ],\n",
      -       "       ...,\n",
      -       "       [-10.125   , -10.075001],\n",
      -       "       [-10.075   , -10.025001],\n",
      -       "       [-10.025   ,  -9.975   ]], dtype=float32)
    • lon_bnds
      (lon, nv)
      float32
      ...
      array([[111.975   , 112.025   ],\n",
      -       "       [112.025   , 112.075005],\n",
      -       "       [112.075   , 112.125   ],\n",
      -       "       ...,\n",
      -       "       [156.125   , 156.17499 ],\n",
      -       "       [156.175   , 156.22499 ],\n",
      -       "       [156.225   , 156.275   ]], dtype=float32)
    • time_bnds
      (time, nv)
      datetime64[ns]
      ...
      array([['2010-01-01T09:00:00.000000000', '2010-01-02T09:00:00.000000000'],\n",
      -       "       ['2010-01-02T09:00:00.000000000', '2010-01-03T09:00:00.000000000'],\n",
      -       "       ['2010-01-03T09:00:00.000000000', '2010-01-04T09:00:00.000000000'],\n",
      -       "       ...,\n",
      -       "       ['2010-12-29T09:00:00.000000000', '2010-12-30T09:00:00.000000000'],\n",
      -       "       ['2010-12-30T09:00:00.000000000', '2010-12-31T09:00:00.000000000'],\n",
      -       "       ['2010-12-31T09:00:00.000000000', '2011-01-01T09:00:00.000000000']],\n",
      -       "      dtype='datetime64[ns]')
    • tmax
      (time, lat, lon)
      float32
      ...
      cell_methods :
      time: maximum
      units :
      degrees_Celsius
      valid_range :
      [-100. 100.]
      analysis_version_number :
      3.51
      long_name :
      Daily maximum air temperature
      number_of_stations_reporting :
      729
      source :
      Interpolated surface observations
      standard_name :
      air_temperature
      frequency :
      daily
      length_scale_for_analysis :
      250.0
      analysis_time :
      2011-02-23 07:04:21 UTC
      grid_mapping :
      crs
      [223462490 values with dtype=float32]
    • crs
      ()
      int32
      ...
      grid_mapping_name :
      latitude_longitude
      longitude_of_prime_meridian :
      0.0
      semi_major_axis :
      6378137.0
      inverse_flattening :
      298.25723
      array(-2147483647, dtype=int32)
  • geospatial_lat_min :
    -44.525
    geospatial_lat_max :
    -9.975
    geospatial_lon_min :
    111.975
    geospatial_lon_max :
    156.275
    time_coverage_start :
    2010-01-01T09:00:00
    time_coverage_end :
    2010-01-02T09:00:00
    original_AIFS_header :
    SOUTHWEST_LATITUDE: 44.5, SOUTHWEST_LONGITUDE: 112.0, NUMBER_OF_LONGITUDES_IN_GRID: 886, LENGTH_SCALE_FOR_ANALYSIS: 250.0, MAX_TEMP_ANALYSIS: 2010010120100101, BUREAU_OF_METEOROLOGY, NUMBER_OF_LATITUDES_IN_GRID: 691, GRID_INCREMENT_OF_LONGITUDE: 0.05, GRID_INCREMENT_OF_LATITUDE: 0.05, ROW_CHANGES_WITH_LONGITUDE, NUMBER_OF_STATIONS_REPORTING: 729, ANALYSIS_TIME: 2011-02-23 07:04:21 UTC, COLUMN_NUMBER_AT_SOUTHWEST_CORNER: 1, ROW_NUMBER_AT_SOUTHWEST_CORNER: 1, ANALYSIS_VERSION_NUMBER: 3.51, LATITUDE_-_LONGITUDE_GRID
    date_created :
    2017-02-24T22:43:51.570038
    bom-cmp-awap_version :
    bom-cmp-awap-1.00-89.0.x86_64
    bom-cmp-util_aifs2nc_version :
    bom-cmp-util_aifs2nc-v1.1.0-2.x86_64
    netcdf_version :
    4.3.0 of Jul 16 2013 05:46:56 $
    uuid :
    9af6006b-a493-4b3f-9cf6-2957b82b1aa2
    keywords_reference :
    Global Change Master Directory (GCMD). 2015. GCMD Keywords, Version 8.1. Greenbelt, MD: Global Change Data Center, Science and Exploration Directorate, Goddard Space Flight Center (GSFC) National Aeronautics and Space Administration (NASA). URL:http://gcmd.nasa.gov/learn/keywords.html
    acknowledgment :
    The Australian Government, Bureau of Meteorology; The Australian Water Availability Project; The AusCover facility of the Terrestrial Ecosystem Research Network (TERN)
    copyright :
    (C) Copyright Commonwealth of Australia 2017, Bureau of Meteorology (ABN 92637 533532), see http://www.bom.gov.au/other/copyright.shtml for terms and conditions of reuse.
    title :
    Interpolated Mean Maximum Temperature
    keywords_vocabulary :
    GCMD Science Keywords, Version 8.1
    standard_name_vocabulary :
    CF Standard Names, v28
    keywords :
    Earth Science, Atmosphere, Atmospheric Temperature , Surface Temperature , Maximum/Minimum Temperature
    data_format :
    netCDF4 with zlib compression
    Conventions :
    CF-1.6
    cdm_data_type :
    Grid
    analysis_components :
    mean: the gridded temperature value
    references :
    http://www.bom.gov.au/amm/docs/2009/jones_hres.pdf; http://www.csiro.au/awap; http://www.cawcr.gov.au/technical-reports/CTR_013.pdf
    url :
    http://www.bom.gov.au/climate/
    licence :
    Copyright for any data supplied by the Bureau of Meteorology is held in the Commonwealth of Australia and the purchaser shall give acknowledgement of the source in reference to the data. Apart from dealings under the Copyright Act 1968, the purchaser shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) these data without written permission from the supplier.
    id :
    Australian Gridded Climate Data (AGCD)
    summary :
    The daily maximum temperature station data represents the highest temperature recorded by a liquid in glass or platinum-resistance digital thermometer over a defined period. Maximum temperature for the previous 24 hours is recorded at 9am local clock time and then recorded against the previous day's date. Temperature data from up to 750 stations across the country are analysed, with limited quality control, onto a 0.05x0.05 degree grid using the technique described in Jones et al. (2009). Weekly mean maximum temperature grids are calculated from the average of the daily grids. Monthly mean maximum temperature grids are analysed from the monthly average of daily maximum temperature station data. Mean maximum temperature grids for periods longer than one month are calculated from the average of the monthly maximum temperature grids.
    institution :
    Australian Bureau of Meteorology, GPO Box 1289, Melbourne VIC 3001, Australia
    naming_authority :
    au.gov.bom
    nco_openmp_thread_number :
    1
    history :
    Thu Nov 7 13:00:11 2019: ncatted -a history,global,m,c, /g/data/rr8/OBS/AWAP_ongoing/v0.3/grid_05/daily/tmax/tmax_mean_0.05_2010.nc\n", - "
    NCO :
    netCDF Operators version 4.7.7 (Homepage = http://nco.sf.net, Code = http://github.com/nco/nco)
" - ], - "text/plain": [ - "\n", - "Dimensions: (lat: 691, lon: 886, nv: 2, time: 365)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2010-01-01T09:00:00 ... 2010-12-31T09:00:00\n", - " * lat (lat) float32 -44.5 -44.45 -44.4 -44.35 ... -10.1 -10.05 -10.0\n", - " * lon (lon) float32 112.0 112.05 112.1 112.15 ... 156.15 156.2 156.25\n", - "Dimensions without coordinates: nv\n", - "Data variables:\n", - " lat_bnds (lat, nv) float32 ...\n", - " lon_bnds (lon, nv) float32 ...\n", - " time_bnds (time, nv) datetime64[ns] ...\n", - " tmax (time, lat, lon) float32 ...\n", - " crs int32 ...\n", - "Attributes:\n", - " geospatial_lat_min: -44.525\n", - " geospatial_lat_max: -9.975\n", - " geospatial_lon_min: 111.975\n", - " geospatial_lon_max: 156.275\n", - " time_coverage_start: 2010-01-01T09:00:00\n", - " time_coverage_end: 2010-01-02T09:00:00\n", - " original_AIFS_header: SOUTHWEST_LATITUDE: 44.5, SOUTHWEST_LONGIT...\n", - " date_created: 2017-02-24T22:43:51.570038\n", - " bom-cmp-awap_version: bom-cmp-awap-1.00-89.0.x86_64\n", - " bom-cmp-util_aifs2nc_version: bom-cmp-util_aifs2nc-v1.1.0-2.x86_64\n", - " netcdf_version: 4.3.0 of Jul 16 2013 05:46:56 $\n", - " uuid: 9af6006b-a493-4b3f-9cf6-2957b82b1aa2\n", - " keywords_reference: Global Change Master Directory (GCMD). 201...\n", - " acknowledgment: The Australian Government, Bureau of Meteo...\n", - " copyright: (C) Copyright Commonwealth of Australia 20...\n", - " title: Interpolated Mean Maximum Temperature\n", - " keywords_vocabulary: GCMD Science Keywords, Version 8.1\n", - " standard_name_vocabulary: CF Standard Names, v28\n", - " keywords: Earth Science, Atmosphere, Atmospheric Tem...\n", - " data_format: netCDF4 with zlib compression\n", - " Conventions: CF-1.6\n", - " cdm_data_type: Grid\n", - " analysis_components: mean: the gridded temperature value\n", - " references: http://www.bom.gov.au/amm/docs/2009/jones_...\n", - " url: http://www.bom.gov.au/climate/\n", - " licence: Copyright for any data supplied by the Bur...\n", - " id: Australian Gridded Climate Data (AGCD)\n", - " summary: The daily maximum temperature station data...\n", - " institution: Australian Bureau of Meteorology, GPO Box ...\n", - " naming_authority: au.gov.bom\n", - " nco_openmp_thread_number: 1\n", - " history: Thu Nov 7 13:00:11 2019: ncatted -a histo...\n", - " NCO: netCDF Operators version 4.7.7 (Homepage =..." - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dsets = [xr.open_dataset(filename) for filename in filenames]\n", - "dsets[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'tmax' (time: 365, lat: 691, lon: 886)>\n",
-       "[223462490 values with dtype=float32]\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 2010-01-01T09:00:00 ... 2010-12-31T09:00:00\n",
-       "  * lat      (lat) float32 -44.5 -44.45 -44.4 -44.35 ... -10.1 -10.05 -10.0\n",
-       "  * lon      (lon) float32 112.0 112.05 112.1 112.15 ... 156.15 156.2 156.25\n",
-       "Attributes:\n",
-       "    cell_methods:                  time: maximum\n",
-       "    units:                         degrees_Celsius\n",
-       "    valid_range:                   [-100.  100.]\n",
-       "    analysis_version_number:       3.51\n",
-       "    long_name:                     Daily maximum air temperature\n",
-       "    number_of_stations_reporting:  729\n",
-       "    source:                        Interpolated surface observations\n",
-       "    standard_name:                 air_temperature\n",
-       "    frequency:                     daily\n",
-       "    length_scale_for_analysis:     250.0\n",
-       "    analysis_time:                 2011-02-23 07:04:21 UTC\n",
-       "    grid_mapping:                  crs
" - ], - "text/plain": [ - "\n", - "[223462490 values with dtype=float32]\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2010-01-01T09:00:00 ... 2010-12-31T09:00:00\n", - " * lat (lat) float32 -44.5 -44.45 -44.4 -44.35 ... -10.1 -10.05 -10.0\n", - " * lon (lon) float32 112.0 112.05 112.1 112.15 ... 156.15 156.2 156.25\n", - "Attributes:\n", - " cell_methods: time: maximum\n", - " units: degrees_Celsius\n", - " valid_range: [-100. 100.]\n", - " analysis_version_number: 3.51\n", - " long_name: Daily maximum air temperature\n", - " number_of_stations_reporting: 729\n", - " source: Interpolated surface observations\n", - " standard_name: air_temperature\n", - " frequency: daily\n", - " length_scale_for_analysis: 250.0\n", - " analysis_time: 2011-02-23 07:04:21 UTC\n", - " grid_mapping: crs" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "xx = dsets[0].tmax\n", - "xx" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Integrate with `dask.array`**\n", - "\n", - "Make a list of `dask.array` objects out of your list of `Xarray.Dataset` objects using the `da.from_array` function with a chunk size of `(1, 691, 886)`." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array,\n", - " dask.array]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dat = [da.from_array(dset.tmax[0:31,:,:], chunks=(1,691,886)) for dset in dsets]\n", - "dat" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Stack this list of `dask.array` objects into a single `dask.array` object with `da.concatenate`**" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Stack these along the first axis so that the shape of the resulting array is `(31, 5760, 11520)`." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 759.16 MB 2.45 MB
Shape (310, 691, 886) (1, 691, 886)
Count 630 Tasks 310 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 886\n", - " 691\n", - " 310\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x = da.concatenate(dat, axis=0)\n", - "x" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Plot the mean of this array along the time (`0th`) axis**" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "\n", - "result = x.mean(axis=0)\n", - "fig = plt.figure(figsize=(16, 8))\n", - "plt.imshow(result, cmap='RdBu_r');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Plot the difference of the first day of 2009 from the mean**" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "result = x[0] - x.mean(axis=0)\n", - "fig = plt.figure(figsize=(16, 8))\n", - "plt.imshow(result, cmap='RdBu_r');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Large datasets: Subsample and store" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the above exercise the result of our computation is small to handle, so we can call `compute( )` safely. Sometimes our result is still too large to fit into memory and we want to save it to disk. \n", - "\n", - "See what happens if you try to calculate the mean value over the whole 10 years of temperature data. `Hint:` You will get an error message of \"worker killed\".\n", - "\n", - "In these cases you can use one of the following two functions\n", - "\n", - "1. `da.store`: Store dask.array into any object that supports numpy setitem syntax, e.g.\n", - "\n", - " f = h5py.File('myfile.hdf5')\n", - " output = f.create_dataset(shape=..., dtype=...)\n", - " \n", - " da.store(my_dask_array, output)\n", - " \n", - "2. `da.to_hdf5`: A specialized function that creates and stores a `dask.array` object into an `HDF5` file.\n", - "\n", - " da.to_hdf5('data/myfile.hdf5', '/output', my_dask_array)\n", - " \n", - "The task in this session is to **use numpy step slicing to subsample the full dataset by a factor of two in both the latitude and longitude direction and then store this result to disk** using one of the functions listed above.\n", - "\n", - "As a reminder, Python slicing takes three elements\n", - "\n", - " start:stop:step\n", - "\n", - " >>> L = [1, 2, 3, 4, 5, 6, 7]\n", - " >>> L[::3]\n", - " [1, 4, 7]" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 4.48 GB 613.11 kB
Shape (7305, 346, 443) (1, 346, 443)
Count 21935 Tasks 7305 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 443\n", - " 346\n", - " 7305\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import h5py\n", - "from glob import glob\n", - "import os\n", - "import dask.array as da\n", - "\n", - "filenames = sorted(glob(os.path.join('/g/data/dk92/notebooks/demo_data/temp_data', 'tmax*.nc')))\n", - "dsets = [xr.open_dataset(filename) for filename in filenames]\n", - "\n", - "dat = [da.from_array(dset.tmax, chunks=(1,691,886)) for dset in dsets]\n", - "\n", - "x = da.concatenate(dat, axis=0)\n", - "\n", - "result = x[:, ::2, ::2]\n", - "\n", - "result" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "da.to_hdf5(os.path.join('.', 'myfile.hdf5'), '/dat',result)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Limitations\n", - "-----------\n", - "\n", - "Dask Array does not implement the entire numpy interface. Users expecting this\n", - "will be disappointed. Notably, Dask Array has the following shortcomings:\n", - "\n", - "1. Dask does not implement all of ``np.linalg``. This has been done by a\n", - " number of excellent BLAS/LAPACK implementations and is the focus of\n", - " numerous ongoing academic research projects.\n", - "2. Dask Array does not support some operations where the resulting shape\n", - " depends on the values of the array. For those that it does support\n", - " (for example, masking one Dask Array with another boolean mask),\n", - " the chunk sizes will be unknown, which may cause issues with other\n", - " operations that need to know the chunk sizes.\n", - "3. Dask Array does not attempt operations like ``sort`` which are notoriously\n", - " difficult to do in parallel and are of somewhat diminished value on very\n", - " large data (you rarely actually need a full sort).\n", - " Often we include parallel-friendly alternatives like ``topk``.\n", - "4. Dask development is driven by immediate need, and so many lesser used\n", - " functions like ``np.sometrue`` have not been implemented purely out of\n", - " laziness. These would make excellent community contributions.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.shutdown()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "* [Array documentation](https://docs.dask.org/en/latest/array.html)\n", - "* [Array screencast](https://youtu.be/9h_61hXCDuI)\n", - "* [Array API](https://docs.dask.org/en/latest/array-api.html)\n", - "* [Array examples](https://examples.dask.org/array.html)" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_08_xarray_CMIP6-checkpoint.ipynb b/.ipynb_checkpoints/Dask_08_xarray_CMIP6-checkpoint.ipynb deleted file mode 100755 index 65b0af1..0000000 --- a/.ipynb_checkpoints/Dask_08_xarray_CMIP6-checkpoint.ipynb +++ /dev/null @@ -1,6776 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Xarray with Dask Arrays\n", - "\n", - "In this notebook we show how to apply xarray operations on Dask DataArray objects.\n", - "\n", - "- Open a dataset\n", - "- Use standard xarray operations\n", - "- Persist data in memory\n", - "- Custom workflows and automatic parallelisation\n", - "\n", - "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. The CMIP6 terms of use are found [here](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html). For more information on the collection, please see the [NCI Data Catalogue]( https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563).\n", - "\n", - "-----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: CMIP6, xarray, dask\n", - "- Create Date: 2020-May\n", - "---" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "\n", - "import dask\n", - "import xarray as xr" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Start Dask Client for Dashboard\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Open a dataset\n", - "\n", - "Xarray is an open source project and Python package that extends the labeled data functionality of Pandas to N-dimensional array-like datasets. It shares a similar API to NumPy and Pandas and supports both Dask and NumPy arrays under the hood. \n", - "\n", - "By specifying the chunk shape, xarray will automatically create Dask arrays for each data variable in the `Dataset`. In xarray, `Datasets` are dict-like containers of labeled arrays, analogous to the `pandas.DataFrame`. Note that we're taking advantage of Xarray's dimension labels when specifying chunk shapes." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset>\n",
-       "Dimensions:   (bnds: 2, lat: 144, lon: 192, time: 2919)\n",
-       "Coordinates:\n",
-       "  * lat       (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon       (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * time      (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds  (time, lat, bnds) float64 dask.array<chunksize=(2919, 144, 2), meta=np.ndarray>\n",
-       "    lon_bnds  (time, lon, bnds) float64 dask.array<chunksize=(2919, 92, 2), meta=np.ndarray>\n",
-       "    ps        (time, lat, lon) float32 dask.array<chunksize=(2919, 144, 92), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    Conventions:            CF-1.7 CMIP-6.2\n",
-       "    activity_id:            CMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   0.0\n",
-       "    branch_time_in_parent:  0.0\n",
-       "    creation_date:          2019-11-08T06:00:27Z\n",
-       "    data_specs_version:     01.00.30\n",
-       "    experiment:             all-forcing simulation of the recent past\n",
-       "    experiment_id:          historical\n",
-       "    external_variables:     areacella\n",
-       "    forcing_index:          1\n",
-       "    frequency:              6hrPt\n",
-       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n",
-       "    grid:                   native atmosphere N96 grid (144x192 latxlon)\n",
-       "    grid_label:             gn\n",
-       "    history:                2019-11-08T06:00:27Z ; CMOR rewrote data to be co...\n",
-       "    initialization_index:   1\n",
-       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
-       "    institution_id:         CSIRO-ARCCSS\n",
-       "    mip_era:                CMIP6\n",
-       "    nominal_resolution:     250 km\n",
-       "    notes:                  Exp: CM2-historical; Local ID: bj594; Variable: p...\n",
-       "    parent_activity_id:     CMIP\n",
-       "    parent_experiment_id:   piControl\n",
-       "    parent_mip_era:         CMIP6\n",
-       "    parent_source_id:       ACCESS-CM2\n",
-       "    parent_time_units:      days since 0950-01-01\n",
-       "    parent_variant_label:   r1i1p1f1\n",
-       "    physics_index:          1\n",
-       "    product:                model-output\n",
-       "    realization_index:      1\n",
-       "    realm:                  atmos\n",
-       "    run_variant:            forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n",
-       "    source:                 ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n",
-       "    source_id:              ACCESS-CM2\n",
-       "    source_type:            AOGCM\n",
-       "    sub_experiment:         none\n",
-       "    sub_experiment_id:      none\n",
-       "    table_id:               6hrLev\n",
-       "    table_info:             Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n",
-       "    title:                  ACCESS-CM2 output prepared for CMIP6\n",
-       "    variable_id:            ps\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    version:                v20191108\n",
-       "    cmor_version:           3.4.0\n",
-       "    tracking_id:            hdl:21.14100/d28c06ba-e284-436a-84fe-ae8d4520879f\n",
-       "    license:                CMIP6 model data produced by CSIRO is licensed un...
" - ], - "text/plain": [ - "\n", - "Dimensions: (bnds: 2, lat: 144, lon: 192, time: 2919)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " ps (time, lat, lon) float32 dask.array\n", - "Attributes:\n", - " Conventions: CF-1.7 CMIP-6.2\n", - " activity_id: CMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " branch_time_in_parent: 0.0\n", - " creation_date: 2019-11-08T06:00:27Z\n", - " data_specs_version: 01.00.30\n", - " experiment: all-forcing simulation of the recent past\n", - " experiment_id: historical\n", - " external_variables: areacella\n", - " forcing_index: 1\n", - " frequency: 6hrPt\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n", - " grid: native atmosphere N96 grid (144x192 latxlon)\n", - " grid_label: gn\n", - " history: 2019-11-08T06:00:27Z ; CMOR rewrote data to be co...\n", - " initialization_index: 1\n", - " institution: CSIRO (Commonwealth Scientific and Industrial Res...\n", - " institution_id: CSIRO-ARCCSS\n", - " mip_era: CMIP6\n", - " nominal_resolution: 250 km\n", - " notes: Exp: CM2-historical; Local ID: bj594; Variable: p...\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: piControl\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: ACCESS-CM2\n", - " parent_time_units: days since 0950-01-01\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " run_variant: forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n", - " source: ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n", - " source_id: ACCESS-CM2\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " table_id: 6hrLev\n", - " table_info: Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n", - " title: ACCESS-CM2 output prepared for CMIP6\n", - " variable_id: ps\n", - " variant_label: r1i1p1f1\n", - " version: v20191108\n", - " cmor_version: 3.4.0\n", - " tracking_id: hdl:21.14100/d28c06ba-e284-436a-84fe-ae8d4520879f\n", - " license: CMIP6 model data produced by CSIRO is licensed un..." - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "filename = '/g/data/fs38/publications/CMIP6/CMIP/CSIRO-ARCCSS/ACCESS-CM2/historical/r1i1p1f1/6hrLev/ps/gn/latest/*.nc'\n", - "ds = xr.open_mfdataset(filename,combine='nested', concat_dim='time',chunks={'lat': 144, 'lon': 92, 'time': -1})\n", - "ds = ds.sel(time=slice('1950','1951'))\n", - "ds" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Quickly inspecting the `Dataset` above, we'll note that this `Dataset` has four _dimensions_ akin to axes in NumPy (`lat`, `lon`, and `time`), four _coordinate variables_ akin to `pandas.Index` objects (also named `lat`, `lon`, and `time`), and one data variable (`ps`). Xarray also holds Dataset specific metadata as _attributes_." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (time: 2919, lat: 144, lon: 192)>\n",
-       "dask.array<getitem, shape=(2919, 144, 192), dtype=float32, chunksize=(2919, 144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * time     (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
-       "Attributes:\n",
-       "    standard_name:  surface_air_pressure\n",
-       "    long_name:      Surface Air Pressure\n",
-       "    comment:        surface pressure (not mean sea-level pressure), 2-D field...\n",
-       "    units:          Pa\n",
-       "    cell_methods:   area: mean time: point\n",
-       "    cell_measures:  area: areacella\n",
-       "    history:        2019-11-08T06:00:23Z altered by CMOR: replaced missing va...
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n", - "Attributes:\n", - " standard_name: surface_air_pressure\n", - " long_name: Surface Air Pressure\n", - " comment: surface pressure (not mean sea-level pressure), 2-D field...\n", - " units: Pa\n", - " cell_methods: area: mean time: point\n", - " cell_measures: area: areacella\n", - " history: 2019-11-08T06:00:23Z altered by CMOR: replaced missing va..." - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da = ds['ps']\n", - "da" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Each data variable in xarray is called a `DataArray`. These are the fundemental labeled array object in xarray. Much like the `Dataset`, `DataArrays` also have _dimensions_ and _coordinates_ that support many of its label-based opperations." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 322.82 MB 154.68 MB
Shape (2919, 144, 192) (2919, 144, 92)
Count 52 Tasks 3 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 192\n", - " 144\n", - " 2919\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da.data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Accessing the underlying array of data is done via the `data` property. Here we can see that we have a Dask array. If this array were to be backed by a NumPy array, this property would point to the actual values in the array." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Use Standard Xarray Operations\n", - "\n", - "In almost all cases, operations using xarray objects are identical regardless of whether the underlying data is stored as a Dask array or a NumPy array." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (time: 2919, lat: 144, lon: 192)>\n",
-       "dask.array<getitem, shape=(2919, 144, 192), dtype=float32, chunksize=(124, 144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * time     (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
-       "    month    (time) int64 1 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12 12
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n", - " month (time) int64 1 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12 12" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da2 = da.groupby('time.month').mean('time')\n", - "da3 = da.groupby('time.month') - da2\n", - "da3" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 322.82 MB 6.57 MB
Shape (2919, 144, 192) (124, 144, 92)
Count 412 Tasks 72 Chunks
Type float32 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 192\n", - " 144\n", - " 2919\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da3.data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Call .compute() or .load() when you want your result as a xarray.DataArray with data stored as NumPy arrays.\n", - "\n", - "If you started Client() above then you may want to watch the status page during computation." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "numpy.ndarray" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "computed_da = da3.load()\n", - "type(computed_da.data)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (time: 2919, lat: 144, lon: 192)>\n",
-       "array([[[-833.71094, -833.4453 , -833.64844, ..., -836.58594,\n",
-       "         -836.3828 , -836.9375 ],\n",
-       "        [-868.46094, -869.39844, -870.28125, ..., -864.4531 ,\n",
-       "         -865.34375, -865.90625],\n",
-       "        [-898.8047 , -898.91406, -898.3672 , ..., -899.8203 ,\n",
-       "         -899.59375, -899.25   ],\n",
-       "        ...,\n",
-       "        [ 414.6953 ,  413.3828 ,  411.97656, ...,  417.79688,\n",
-       "          416.60938,  415.57812],\n",
-       "        [ 445.97656,  445.60938,  445.1953 , ...,  446.26562,\n",
-       "          446.2422 ,  446.1875 ],\n",
-       "        [ 457.79688,  457.9375 ,  458.01562, ...,  457.09375,\n",
-       "          457.35938,  457.66406]],\n",
-       "\n",
-       "       [[-788.10156, -787.5703 , -787.46094, ..., -792.0703 ,\n",
-       "         -791.46094, -791.41406],\n",
-       "        [-807.4922 , -807.2344 , -806.8672 , ..., -806.1406 ,\n",
-       "         -805.9922 , -805.7656 ],\n",
-       "        [-833.875  , -831.4219 , -827.9375 , ..., -839.71875,\n",
-       "         -837.89844, -835.8281 ],\n",
-       "...\n",
-       "        [2244.8047 , 2249.5234 , 2254.5547 , ..., 2232.9844 ,\n",
-       "         2236.6328 , 2240.6406 ],\n",
-       "        [2454.1094 , 2457.3672 , 2460.7344 , ..., 2444.9297 ,\n",
-       "         2447.9062 , 2450.9062 ],\n",
-       "        [2579.4844 , 2580.5938 , 2581.7031 , ..., 2576.4844 ,\n",
-       "         2577.3906 , 2578.4531 ]],\n",
-       "\n",
-       "       [[1101.3359 , 1099.25   , 1098.6016 , ..., 1101.5938 ,\n",
-       "         1101.8125 , 1102.1484 ],\n",
-       "        [1150.6484 , 1148.2031 , 1145.8828 , ..., 1157.0078 ,\n",
-       "         1154.5312 , 1152.3672 ],\n",
-       "        [1157.4688 , 1152.9688 , 1148.6172 , ..., 1172.4453 ,\n",
-       "         1166.8594 , 1161.8203 ],\n",
-       "        ...,\n",
-       "        [2487.125  , 2488.1094 , 2489.2734 , ..., 2485.3516 ,\n",
-       "         2485.8438 , 2486.5078 ],\n",
-       "        [2660.3984 , 2661.6484 , 2662.9297 , ..., 2656.7266 ,\n",
-       "         2657.9531 , 2659.125  ],\n",
-       "        [2752.4297 , 2753.1094 , 2753.7812 , ..., 2750.4922 ,\n",
-       "         2751.086  , 2751.7812 ]]], dtype=float32)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * time     (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
-       "    month    (time) int64 1 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12 12
" - ], - "text/plain": [ - "\n", - "array([[[-833.71094, -833.4453 , -833.64844, ..., -836.58594,\n", - " -836.3828 , -836.9375 ],\n", - " [-868.46094, -869.39844, -870.28125, ..., -864.4531 ,\n", - " -865.34375, -865.90625],\n", - " [-898.8047 , -898.91406, -898.3672 , ..., -899.8203 ,\n", - " -899.59375, -899.25 ],\n", - " ...,\n", - " [ 414.6953 , 413.3828 , 411.97656, ..., 417.79688,\n", - " 416.60938, 415.57812],\n", - " [ 445.97656, 445.60938, 445.1953 , ..., 446.26562,\n", - " 446.2422 , 446.1875 ],\n", - " [ 457.79688, 457.9375 , 458.01562, ..., 457.09375,\n", - " 457.35938, 457.66406]],\n", - "\n", - " [[-788.10156, -787.5703 , -787.46094, ..., -792.0703 ,\n", - " -791.46094, -791.41406],\n", - " [-807.4922 , -807.2344 , -806.8672 , ..., -806.1406 ,\n", - " -805.9922 , -805.7656 ],\n", - " [-833.875 , -831.4219 , -827.9375 , ..., -839.71875,\n", - " -837.89844, -835.8281 ],\n", - "...\n", - " [2244.8047 , 2249.5234 , 2254.5547 , ..., 2232.9844 ,\n", - " 2236.6328 , 2240.6406 ],\n", - " [2454.1094 , 2457.3672 , 2460.7344 , ..., 2444.9297 ,\n", - " 2447.9062 , 2450.9062 ],\n", - " [2579.4844 , 2580.5938 , 2581.7031 , ..., 2576.4844 ,\n", - " 2577.3906 , 2578.4531 ]],\n", - "\n", - " [[1101.3359 , 1099.25 , 1098.6016 , ..., 1101.5938 ,\n", - " 1101.8125 , 1102.1484 ],\n", - " [1150.6484 , 1148.2031 , 1145.8828 , ..., 1157.0078 ,\n", - " 1154.5312 , 1152.3672 ],\n", - " [1157.4688 , 1152.9688 , 1148.6172 , ..., 1172.4453 ,\n", - " 1166.8594 , 1161.8203 ],\n", - " ...,\n", - " [2487.125 , 2488.1094 , 2489.2734 , ..., 2485.3516 ,\n", - " 2485.8438 , 2486.5078 ],\n", - " [2660.3984 , 2661.6484 , 2662.9297 , ..., 2656.7266 ,\n", - " 2657.9531 , 2659.125 ],\n", - " [2752.4297 , 2753.1094 , 2753.7812 , ..., 2750.4922 ,\n", - " 2751.086 , 2751.7812 ]]], dtype=float32)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n", - " month (time) int64 1 1 1 1 1 1 1 1 1 1 ... 12 12 12 12 12 12 12 12 12 12" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "computed_da" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Persist data in memory\n", - "\n", - "If you have the available RAM for your dataset then you can persist data in memory. \n", - "\n", - "This allows future computations to be much faster." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "da = da.persist()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Time Series Operations\n", - "\n", - "We want datetime index time-series operations to work efficiently. Here we demo the use of xarray's resample method:" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (time: 730, lat: 144, lon: 192)>\n",
-       "dask.array<stack, shape=(730, 144, 192), dtype=float32, chunksize=(1, 144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * time     (time) datetime64[ns] 1950-01-01 1950-01-02 ... 1951-12-31\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 1950-01-01 1950-01-02 ... 1951-12-31\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da.resample(time='1D').mean('time')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Rolling window operations:" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray (time: 2919, lat: 144, lon: 192)>\n",
-       "dask.array<where, shape=(2919, 144, 192), dtype=float32, chunksize=(2904, 144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * time     (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "da_smooth = da.rolling(time=30).mean().persist()\n", - "da_smooth" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Since xarray stores each of its coordinate variables in memory, slicing by label is trivial and entirely lazy." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 5.16 ms, sys: 1.05 ms, total: 6.21 ms\n", - "Wall time: 5.95 ms\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (lat: 144, lon: 192)>\n",
-       "dask.array<getitem, shape=(144, 192), dtype=float32, chunksize=(144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "    time     datetime64[ns] 1950-01-01T18:00:00\n",
-       "Attributes:\n",
-       "    standard_name:  surface_air_pressure\n",
-       "    long_name:      Surface Air Pressure\n",
-       "    comment:        surface pressure (not mean sea-level pressure), 2-D field...\n",
-       "    units:          Pa\n",
-       "    cell_methods:   area: mean time: point\n",
-       "    cell_measures:  area: areacella\n",
-       "    history:        2019-11-08T06:00:23Z altered by CMOR: replaced missing va...
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " time datetime64[ns] 1950-01-01T18:00:00\n", - "Attributes:\n", - " standard_name: surface_air_pressure\n", - " long_name: Surface Air Pressure\n", - " comment: surface pressure (not mean sea-level pressure), 2-D field...\n", - " units: Pa\n", - " cell_methods: area: mean time: point\n", - " cell_measures: area: areacella\n", - " history: 2019-11-08T06:00:23Z altered by CMOR: replaced missing va..." - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time da.sel(time='1950-01-01T18:00:00')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 50.9 ms, sys: 14 ms, total: 64.9 ms\n", - "Wall time: 660 ms\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'ps' (lat: 144, lon: 192)>\n",
-       "array([[ 68996.75 ,  68968.57 ,  68952.195, ...,  69236.875,  69219.5  ,\n",
-       "         69200.625],\n",
-       "       [ 69038.47 ,  69027.5  ,  69019.69 , ...,  68927.02 ,  68927.34 ,\n",
-       "         68925.39 ],\n",
-       "       [ 69702.08 ,  69628.38 ,  69553.98 , ...,  69920.69 ,  69840.05 ,\n",
-       "         69760.555],\n",
-       "       ...,\n",
-       "       [102282.68 , 102285.52 , 102288.195, ..., 102273.43 , 102276.62 ,\n",
-       "        102279.695],\n",
-       "       [102390.516, 102392.375, 102394.22 , ..., 102384.99 , 102386.82 ,\n",
-       "        102388.664],\n",
-       "       [102509.04 , 102509.8  , 102510.57 , ..., 102506.875, 102507.58 ,\n",
-       "        102508.3  ]], dtype=float32)\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "    time     datetime64[ns] 1950-01-01T18:00:00\n",
-       "Attributes:\n",
-       "    standard_name:  surface_air_pressure\n",
-       "    long_name:      Surface Air Pressure\n",
-       "    comment:        surface pressure (not mean sea-level pressure), 2-D field...\n",
-       "    units:          Pa\n",
-       "    cell_methods:   area: mean time: point\n",
-       "    cell_measures:  area: areacella\n",
-       "    history:        2019-11-08T06:00:23Z altered by CMOR: replaced missing va...
" - ], - "text/plain": [ - "\n", - "array([[ 68996.75 , 68968.57 , 68952.195, ..., 69236.875, 69219.5 ,\n", - " 69200.625],\n", - " [ 69038.47 , 69027.5 , 69019.69 , ..., 68927.02 , 68927.34 ,\n", - " 68925.39 ],\n", - " [ 69702.08 , 69628.38 , 69553.98 , ..., 69920.69 , 69840.05 ,\n", - " 69760.555],\n", - " ...,\n", - " [102282.68 , 102285.52 , 102288.195, ..., 102273.43 , 102276.62 ,\n", - " 102279.695],\n", - " [102390.516, 102392.375, 102394.22 , ..., 102384.99 , 102386.82 ,\n", - " 102388.664],\n", - " [102509.04 , 102509.8 , 102510.57 , ..., 102506.875, 102507.58 ,\n", - " 102508.3 ]], dtype=float32)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " time datetime64[ns] 1950-01-01T18:00:00\n", - "Attributes:\n", - " standard_name: surface_air_pressure\n", - " long_name: Surface Air Pressure\n", - " comment: surface pressure (not mean sea-level pressure), 2-D field...\n", - " units: Pa\n", - " cell_methods: area: mean time: point\n", - " cell_measures: area: areacella\n", - " history: 2019-11-08T06:00:23Z altered by CMOR: replaced missing va..." - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time da.sel(time='1950-01-01T18:00:00').load()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Custom workflows and automatic parallelisation\n", - "Almost all of xarray’s built-in operations work on Dask arrays. If you want to use a function that isn’t wrapped by xarray, one option is to extract Dask arrays from xarray objects (.data) and use Dask directly.\n", - "\n", - "Another option is to use xarray’s `apply_ufunc()` function, which can automate embarrassingly parallel “map” type operations where a function written for processing NumPy arrays should be repeatedly applied to xarray objects containing Dask arrays. It works similarly to `dask.array.map_blocks()` and `dask.array.atop()`, but without requiring an intermediate layer of abstraction.\n", - "\n", - "Here we show an example using NumPy operations and a fast function from `bottleneck`, which we use to calculate Spearman’s rank-correlation coefficient:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "import numpy as np\n", - "import xarray as xr\n", - "import bottleneck\n", - "\n", - "def covariance_gufunc(x, y):\n", - " return ((x - x.mean(axis=-1, keepdims=True))\n", - " * (y - y.mean(axis=-1, keepdims=True))).mean(axis=-1)\n", - "\n", - "def pearson_correlation_gufunc(x, y):\n", - " return covariance_gufunc(x, y) / (x.std(axis=-1) * y.std(axis=-1))\n", - "\n", - "def spearman_correlation_gufunc(x, y):\n", - " x_ranks = bottleneck.rankdata(x, axis=-1)\n", - " y_ranks = bottleneck.rankdata(y, axis=-1)\n", - " return pearson_correlation_gufunc(x_ranks, y_ranks)\n", - "\n", - "def spearman_correlation(x, y, dim):\n", - " return xr.apply_ufunc(\n", - " spearman_correlation_gufunc, x, y,\n", - " input_core_dims=[[dim], [dim]],\n", - " dask='parallelized',\n", - " output_dtypes=[float])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the examples above, we were working with some air temperature data. For this example, we'll calculate the spearman correlation using the raw air temperature data with the smoothed version that we also created (`da_smooth`). For this, we'll also have to rechunk the data ahead of time." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray (lat: 144, lon: 192)>\n",
-       "dask.array<spearman_correlation_gufunc, shape=(144, 192), dtype=float64, chunksize=(144, 92), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "corr = spearman_correlation(da.chunk({'time': -1}),\n", - " da_smooth.chunk({'time': -1}),\n", - " 'time')\n", - "corr" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "corr.plot(figsize=(12, 8))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "https://examples.dask.org/xarray.html" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_09_Xarray_precipitation-checkpoint.ipynb b/.ipynb_checkpoints/Dask_09_Xarray_precipitation-checkpoint.ipynb deleted file mode 100755 index 4352fa2..0000000 --- a/.ipynb_checkpoints/Dask_09_Xarray_precipitation-checkpoint.ipynb +++ /dev/null @@ -1,1539 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Analysis of Gridded Ensemble Precipitation Estimates over Australia\n", - "\n", - "In this notebook we work with several ensemble members of precipitation data. The analysis we do below is quite simple but the problem is a good illustration of a common task in the atmospheric sciences. \n", - "\n", - "* Open dataset\n", - "* Average seasonal precipitation\n", - "* Extract a time series of annual maximum precipitation events over a region\n", - "\n", - "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. The CMIP6 terms of use are found [here](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html). For more information on the collection, please visit the [NCI Data Catalogue]( https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563).\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: CMIP6, xarray, dask, precipitation\n", - "- Create Date: 2020-April\n", - "- Lineage/Reference: This tutorial is referenced to [Pangeo example](https://github.com/pangeo-data/pangeo-example-notebooks/blob/master/cm26.ipynb).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Setup\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py:1079: VersionMismatchWarning: Mismatched versions found\n", - "\n", - "numpy\n", - "+------------------------+---------+\n", - "| | version |\n", - "+------------------------+---------+\n", - "| client | 1.19.2 |\n", - "| scheduler | 1.19.2 |\n", - "| tcp://10.6.23.34:32997 | 1.17.2 |\n", - "| tcp://10.6.23.34:33389 | 1.17.2 |\n", - "| tcp://10.6.23.34:33485 | 1.17.2 |\n", - "| tcp://10.6.23.34:33491 | 1.17.2 |\n", - "| tcp://10.6.23.34:33711 | 1.17.2 |\n", - "| tcp://10.6.23.34:33725 | 1.17.2 |\n", - "| tcp://10.6.23.34:34877 | 1.17.2 |\n", - "| tcp://10.6.23.34:35513 | 1.17.2 |\n", - "| tcp://10.6.23.34:36165 | 1.17.2 |\n", - "| tcp://10.6.23.34:36285 | 1.17.2 |\n", - "| tcp://10.6.23.34:36447 | 1.17.2 |\n", - "| tcp://10.6.23.34:36879 | 1.17.2 |\n", - "| tcp://10.6.23.34:37195 | 1.17.2 |\n", - "| tcp://10.6.23.34:37391 | 1.17.2 |\n", - "| tcp://10.6.23.34:37753 | 1.17.2 |\n", - "| tcp://10.6.23.34:37961 | 1.17.2 |\n", - "| tcp://10.6.23.34:38063 | 1.17.2 |\n", - "| tcp://10.6.23.34:38831 | 1.17.2 |\n", - "| tcp://10.6.23.34:39123 | 1.17.2 |\n", - "| tcp://10.6.23.34:39287 | 1.17.2 |\n", - "| tcp://10.6.23.34:39515 | 1.17.2 |\n", - "| tcp://10.6.23.34:39561 | 1.17.2 |\n", - "| tcp://10.6.23.34:39715 | 1.17.2 |\n", - "| tcp://10.6.23.34:39765 | 1.17.2 |\n", - "| tcp://10.6.23.34:39971 | 1.17.2 |\n", - "| tcp://10.6.23.34:40227 | 1.17.2 |\n", - "| tcp://10.6.23.34:40515 | 1.17.2 |\n", - "| tcp://10.6.23.34:41659 | 1.17.2 |\n", - "| tcp://10.6.23.34:41693 | 1.17.2 |\n", - "| tcp://10.6.23.34:42069 | 1.17.2 |\n", - "| tcp://10.6.23.34:42311 | 1.17.2 |\n", - "| tcp://10.6.23.34:42425 | 1.17.2 |\n", - "| tcp://10.6.23.34:42499 | 1.17.2 |\n", - "| tcp://10.6.23.34:42581 | 1.17.2 |\n", - "| tcp://10.6.23.34:42605 | 1.17.2 |\n", - "| tcp://10.6.23.34:42643 | 1.17.2 |\n", - "| tcp://10.6.23.34:44969 | 1.17.2 |\n", - "| tcp://10.6.23.34:45107 | 1.17.2 |\n", - "| tcp://10.6.23.34:45157 | 1.17.2 |\n", - "| tcp://10.6.23.34:45229 | 1.17.2 |\n", - "| tcp://10.6.23.34:45949 | 1.17.2 |\n", - "| tcp://10.6.23.34:45957 | 1.17.2 |\n", - "| tcp://10.6.23.34:45977 | 1.17.2 |\n", - "| tcp://10.6.23.34:45995 | 1.17.2 |\n", - "| tcp://10.6.23.34:46585 | 1.17.2 |\n", - "| tcp://10.6.23.34:46647 | 1.17.2 |\n", - "| tcp://10.6.23.34:46661 | 1.17.2 |\n", - "| tcp://10.6.23.34:46811 | 1.17.2 |\n", - "| tcp://10.6.23.35:32829 | 1.17.2 |\n", - "| tcp://10.6.23.35:33407 | 1.17.2 |\n", - "| tcp://10.6.23.35:33499 | 1.17.2 |\n", - "| tcp://10.6.23.35:34007 | 1.17.2 |\n", - "| tcp://10.6.23.35:34215 | 1.17.2 |\n", - "| tcp://10.6.23.35:34271 | 1.17.2 |\n", - "| tcp://10.6.23.35:35295 | 1.17.2 |\n", - "| tcp://10.6.23.35:35503 | 1.17.2 |\n", - "| tcp://10.6.23.35:35559 | 1.17.2 |\n", - "| tcp://10.6.23.35:35591 | 1.17.2 |\n", - "| tcp://10.6.23.35:36061 | 1.17.2 |\n", - "| tcp://10.6.23.35:36133 | 1.17.2 |\n", - "| tcp://10.6.23.35:36413 | 1.17.2 |\n", - "| tcp://10.6.23.35:36537 | 1.17.2 |\n", - "| tcp://10.6.23.35:36977 | 1.17.2 |\n", - "| tcp://10.6.23.35:36997 | 1.17.2 |\n", - "| tcp://10.6.23.35:37081 | 1.17.2 |\n", - "| tcp://10.6.23.35:37483 | 1.17.2 |\n", - "| tcp://10.6.23.35:37723 | 1.17.2 |\n", - "| tcp://10.6.23.35:38137 | 1.17.2 |\n", - "| tcp://10.6.23.35:38139 | 1.17.2 |\n", - "| tcp://10.6.23.35:38279 | 1.17.2 |\n", - "| tcp://10.6.23.35:38317 | 1.17.2 |\n", - "| tcp://10.6.23.35:38849 | 1.17.2 |\n", - "| tcp://10.6.23.35:39717 | 1.17.2 |\n", - "| tcp://10.6.23.35:39729 | 1.17.2 |\n", - "| tcp://10.6.23.35:39777 | 1.17.2 |\n", - "| tcp://10.6.23.35:40495 | 1.17.2 |\n", - "| tcp://10.6.23.35:40589 | 1.17.2 |\n", - "| tcp://10.6.23.35:41269 | 1.17.2 |\n", - "| tcp://10.6.23.35:41329 | 1.17.2 |\n", - "| tcp://10.6.23.35:42063 | 1.17.2 |\n", - "| tcp://10.6.23.35:42207 | 1.17.2 |\n", - "| tcp://10.6.23.35:42415 | 1.17.2 |\n", - "| tcp://10.6.23.35:42783 | 1.17.2 |\n", - "| tcp://10.6.23.35:43219 | 1.17.2 |\n", - "| tcp://10.6.23.35:43443 | 1.17.2 |\n", - "| tcp://10.6.23.35:44029 | 1.17.2 |\n", - "| tcp://10.6.23.35:44269 | 1.17.2 |\n", - "| tcp://10.6.23.35:44399 | 1.17.2 |\n", - "| tcp://10.6.23.35:44825 | 1.17.2 |\n", - "| tcp://10.6.23.35:45167 | 1.17.2 |\n", - "| tcp://10.6.23.35:45783 | 1.17.2 |\n", - "| tcp://10.6.23.35:45829 | 1.17.2 |\n", - "| tcp://10.6.23.35:45875 | 1.17.2 |\n", - "| tcp://10.6.23.35:45987 | 1.17.2 |\n", - "| tcp://10.6.23.35:46673 | 1.17.2 |\n", - "| tcp://10.6.23.35:46871 | 1.17.2 |\n", - "+------------------------+---------+\n", - " warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n" - ] - } - ], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline\n", - "\n", - "import numpy as np\n", - "import xarray as xr\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "r1i1p1f1 r2i1p1f1 r3i1p1f1\r\n" - ] - } - ], - "source": [ - "!ls /g/data/fs38/publications/CMIP6/CMIP/CSIRO-ARCCSS/ACCESS-CM2/historical/" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Open Dataset\n", - "\n", - "Here we load the historical precipitation data of the CESM2 model within the CMIP6 archive. \n", - "\n", - "The dataset has dimensions of time, latitude, longitude, and ensemble members." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "EnsNum=2\n", - "DS=[]\n", - "for i in range(1,EnsNum+1): #loop through ensemble members\n", - " #concatenate data on time coordinate\n", - " data=xr.open_mfdataset('/g/data/fs38/publications/CMIP6/CMIP/CSIRO-ARCCSS/ACCESS-CM2/historical/r'+str(i)+'i1p1f1/day/pr/gn/v*/pr_day_ACCESS-CM2_historical_r'+str(i)+'i1p1f1_gn_*.nc',combine='nested', concat_dim='time' )\n", - " DS.append(data)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "ds=xr.concat([DS[i] for i in range(EnsNum)],'ensemble')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Intra-ensemble range\n", - "\n", - "We calculate the intra-ensemble range for all the mean daily temperature in this dataset. This gives us a sense of uncertainty." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (lat: 144, lon: 192)>\n",
-       "dask.array<sub, shape=(144, 192), dtype=float32, chunksize=(144, 192), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pr_mean = ds['pr'].mean(dim='time')\n", - "spread = (pr_mean.max(dim='ensemble')\n", - " - pr_mean.min(dim='ensemble'))\n", - "spread" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Calling compute\n", - "The expressions above didn't actually compute anything but rather just build the task graph. To do the computations, we call the `compute` or `persist` methods:" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "spread = spread.persist()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38>" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "spread.load" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Figure: Intra-ensemble range\n" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Intra-ensemble range in mean annual precipitation')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "spread.plot(robust=True, figsize=(10, 6))\n", - "plt.title('Intra-ensemble range in mean annual precipitation')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Average seasonal precipitation\n", - "\n", - "We can compute a crude estimate of average seasonal precipitation variables in our dataset. Here, we'll look at the first 4 ensemble members and make some maps of the seasonal total precipitation in each ensemble member." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/dk92/packages/xarray/core/common.py:1124: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.\n", - "The new arguments that you should use are 'offset' or 'origin'.\n", - "\n", - ">>> df.resample(freq=\"3s\", base=2)\n", - "\n", - "becomes:\n", - "\n", - ">>> df.resample(freq=\"3s\", offset=\"2s\")\n", - "\n", - " freq=freq, closed=closed, label=label, base=base, loffset=loffset\n" - ] - } - ], - "source": [ - "da_pr = ds['pr'].resample(time='QS-MAR').sum('time')\n", - "seasonal_pr = da_pr.isel(ensemble=slice(0, 2)).groupby('time.season').mean('time').persist()\n", - "#progress(seasonal_pr)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (ensemble: 2, season: 4, lat: 144, lon: 192)>\n",
-       "dask.array<getitem, shape=(2, 4, 144, 192), dtype=float32, chunksize=(1, 1, 144, 192), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
-       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
-       "  * season   (season) object 'DJF' 'MAM' 'JJA' 'SON'\n",
-       "Dimensions without coordinates: ensemble
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", - " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", - " * season (season) object 'DJF' 'MAM' 'JJA' 'SON'\n", - "Dimensions without coordinates: ensemble" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# properly sort the seasons\n", - "seasonal_pr = seasonal_pr.sel(season=['DJF', 'MAM','JJA', 'SON'])\n", - "seasonal_pr" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Figure: Average seasonal precipitation totals " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "seasonal_pr.plot.pcolormesh(col='season', row='ensemble', cmap='Blues', robust=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Extract a time series of annual maximum precipitation events over a region\n", - "\n", - "In the previous two examples, we've mostly reduced the time and/or ensemble dimension. Here, we'll do a reduction operation on the spatial dimension to look at a time series of extreme precipitation events near Sydney, AU (33.51° S, 9151.12° E)." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "buf = 0.25 # look at Sydney +/- 0.25 deg\n", - "\n", - "ds_tx = ds.sel(lon=slice(151.12-buf, 151.12+buf), lat=slice(-33.51-buf, 33.51+buf))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/dk92/packages/xarray/core/common.py:1124: FutureWarning: 'base' in .resample() and in Grouper() is deprecated.\n", - "The new arguments that you should use are 'offset' or 'origin'.\n", - "\n", - ">>> df.resample(freq=\"3s\", base=2)\n", - "\n", - "becomes:\n", - "\n", - ">>> df.resample(freq=\"3s\", offset=\"2s\")\n", - "\n", - " freq=freq, closed=closed, label=label, base=base, loffset=loffset\n" - ] - } - ], - "source": [ - "pcp_ann_max = ds_tx['pr'].resample(time='AS').max('time')" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "pcp_ann_max_ts = pcp_ann_max.max(('lat', 'lon')).persist()\n", - "#progress(pcp_ann_max_ts)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Figure: Timeseries of maximum precipitation near Sydney, AU." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "ax = pcp_ann_max_ts.transpose().to_pandas().plot(title='Maximum precipitation near Sydney, AU', legend=False)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "This example is modified from https://github.com/pangeo-data/pangeo-example-notebooks/blob/master/xarray-data.ipynb" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_10_interactive_visualise_CMIP6-checkpoint.ipynb b/.ipynb_checkpoints/Dask_10_interactive_visualise_CMIP6-checkpoint.ipynb deleted file mode 100755 index e1bcb09..0000000 --- a/.ipynb_checkpoints/Dask_10_interactive_visualise_CMIP6-checkpoint.ipynb +++ /dev/null @@ -1,3259 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Climate model analysis and visualization\n", - "\n", - "This notebook shows how to analyze and visualize ocean data from the GFDL high-resolution climate simulation using Holoviews and Datashader.\n", - "\n", - "* Open dataset\n", - "* Interactive data visualization using Holoviews\n", - "* Calculate time and zonal mean of the temperature\n", - "* Plot a contour image of the mean values\n", - "\n", - "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. The CMIP6 terms of use are found [here](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html). For more information on the collection, please visit the [NCI data catalogue]( https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563).\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: CMIP6, xarray, visualization\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [Pangeo example](https://github.com/pangeo-data/pangeo-example-notebooks/blob/master/cm26.ipynb).\n", - "---" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout = Date.now() + 5000;\n", - " root._bokeh_failed_load = false;\n", - " }\n", - "\n", - " function run_callbacks() {\n", - " try {\n", - " root._bokeh_onload_callbacks.forEach(function(callback) {\n", - " if (callback != null)\n", - " callback();\n", - " });\n", - " } finally {\n", - " delete root._bokeh_onload_callbacks\n", - " }\n", - " console.debug(\"Bokeh: all callbacks have finished\");\n", - " }\n", - "\n", - " function load_libs(css_urls, js_urls, callback) {\n", - " if (css_urls == null) css_urls = [];\n", - " if (js_urls == null) js_urls = [];\n", - "\n", - " root._bokeh_onload_callbacks.push(callback);\n", - " if (root._bokeh_is_loading > 0) {\n", - " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", - " return null;\n", - " }\n", - " if (js_urls == null || js_urls.length === 0) {\n", - " run_callbacks();\n", - " return null;\n", - " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", - "\n", - " function on_load() {\n", - " root._bokeh_is_loading--;\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", - " run_callbacks()\n", - " }\n", - " }\n", - "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", - " }\n", - "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " const element = document.createElement(\"link\");\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.rel = \"stylesheet\";\n", - " element.type = \"text/css\";\n", - " element.href = url;\n", - " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " if (window.requirejs) {\n", - " require([], function() {\n", - " run_callbacks();\n", - " })\n", - " } else {\n", - " var skip = [];\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", - " var element = document.createElement('script');\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.async = false;\n", - " element.src = url;\n", - " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", - " document.head.appendChild(element);\n", - " }\n", - " }\n", - " };\n", - "\n", - " function inject_raw_css(css) {\n", - " const element = document.createElement(\"style\");\n", - " element.appendChild(document.createTextNode(css));\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " var js_urls = [];\n", - " var css_urls = [];\n", - "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", - " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " /* BEGIN bokeh.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " const bokeh = factory();\n", - " if (root.Bokeh === undefined) {\n", - " root.Bokeh = bokeh;\n", - " }\n", - " const Bokeh = root.Bokeh;\n", - " Bokeh[bokeh.version] = bokeh;\n", - " })(this, function() {\n", - " var define;\n", - " var parent_require = typeof require === \"function\" && require\n", - " return (function(modules, entry, aliases, externals) {\n", - " if (aliases === undefined) aliases = {};\n", - " if (externals === undefined) externals = {};\n", - "\n", - " var cache = {};\n", - "\n", - " var normalize = function(name) {\n", - " if (typeof name === \"number\")\n", - " return name;\n", - "\n", - " if (name === \"bokehjs\")\n", - " return entry;\n", - "\n", - " var prefix = \"@bokehjs/\"\n", - " if (name.slice(0, prefix.length) === prefix)\n", - " name = name.slice(prefix.length)\n", - "\n", - " var alias = aliases[name]\n", - " if (alias != null)\n", - " return alias;\n", - "\n", - " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", - " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", - " if (index != null)\n", - " return index;\n", - "\n", - " return name;\n", - " }\n", - "\n", - " var require = function(name) {\n", - " var mod = cache[name];\n", - " if (!mod) {\n", - " var id = normalize(name);\n", - "\n", - " mod = cache[id];\n", - " if (!mod) {\n", - " if (!modules[id]) {\n", - " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", - " try {\n", - " mod = {exports: externals[id] ? parent_require(id) : {}};\n", - " cache[id] = cache[name] = mod;\n", - " return mod.exports;\n", - " } catch (e) {}\n", - " }\n", - "\n", - " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", - " err.code = 'MODULE_NOT_FOUND';\n", - " throw err;\n", - " }\n", - "\n", - " mod = {exports: {}};\n", - " cache[id] = cache[name] = mod;\n", - " modules[id].call(mod.exports, require, mod, mod.exports);\n", - " } else\n", - " cache[name] = mod;\n", - " }\n", - "\n", - " return mod.exports;\n", - " }\n", - "\n", - " var main = require(entry);\n", - " main.require = require;\n", - "\n", - " if (typeof Proxy !== \"undefined\") {\n", - " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", - " main.loader = new Proxy({}, {\n", - " get: function(_obj, module) {\n", - " return require(module);\n", - " }\n", - " });\n", - " }\n", - "\n", - " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", - " if (plugin_aliases === undefined) plugin_aliases = {};\n", - " if (plugin_externals === undefined) plugin_externals = {};\n", - "\n", - " for (var name in plugin_modules) {\n", - " modules[name] = plugin_modules[name];\n", - " }\n", - "\n", - " for (var name in plugin_aliases) {\n", - " aliases[name] = plugin_aliases[name];\n", - " }\n", - "\n", - " for (var name in plugin_externals) {\n", - " externals[name] = plugin_externals[name];\n", - " }\n", - "\n", - " var plugin = require(plugin_entry);\n", - "\n", - " for (var name in plugin) {\n", - " main[name] = plugin[name];\n", - " }\n", - "\n", - " return plugin;\n", - " }\n", - "\n", - " return main;\n", - " })\n", - " ([\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n", - " function _(t,e,n){\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */\n", - " Object.defineProperty(n,\"__esModule\",{value:!0});var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function a(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,a=n.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)i.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(o)throw o.error}}return i}function i(t){return this instanceof i?(this.v=t,this):new i(t)}n.__extends=function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)},n.__assign=function(){return n.__assign=Object.assign||function(t){for(var e,n=1,r=arguments.length;n=0;u--)(o=t[u])&&(i=(a<3?o(i):a>3?o(e,n,i):o(e,n))||i);return a>3&&i&&Object.defineProperty(e,n,i),i},n.__param=function(t,e){return function(n,r){e(n,r,t)}},n.__metadata=function(t,e){if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.metadata)return Reflect.metadata(t,e)},n.__awaiter=function(t,e,n,r){return new(n||(n=Promise))((function(o,a){function i(t){try{c(r.next(t))}catch(t){a(t)}}function u(t){try{c(r.throw(t))}catch(t){a(t)}}function c(t){var e;t.done?o(t.value):(e=t.value,e instanceof n?e:new n((function(t){t(e)}))).then(i,u)}c((r=r.apply(t,e||[])).next())}))},n.__generator=function(t,e){var n,r,o,a,i={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return a={next:u(0),throw:u(1),return:u(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function u(a){return function(u){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(n=1,r&&(o=2&a[0]?r.return:a[0]?r.throw||((o=r.return)&&o.call(r),0):r.next)&&!(o=o.call(r,a[1])).done)return o;switch(r=0,o&&(a=[2&a[0],o.value]),a[0]){case 0:case 1:o=a;break;case 4:return i.label++,{value:a[1],done:!1};case 5:i.label++,r=a[1],a=[0];continue;case 7:a=i.ops.pop(),i.trys.pop();continue;default:if(!(o=i.trys,(o=o.length>0&&o[o.length-1])||6!==a[0]&&2!==a[0])){i=0;continue}if(3===a[0]&&(!o||a[1]>o[0]&&a[1]1||c(t,e)}))})}function c(t,e){try{(n=o[t](e)).value instanceof i?Promise.resolve(n.value.v).then(f,l):s(a[0][2],n)}catch(t){s(a[0][3],t)}var n}function f(t){c(\"next\",t)}function l(t){c(\"throw\",t)}function s(t,e){t(e),a.shift(),a.length&&c(a[0][0],a[0][1])}},n.__asyncDelegator=function(t){var e,n;return e={},r(\"next\"),r(\"throw\",(function(t){throw t})),r(\"return\"),e[Symbol.iterator]=function(){return this},e;function r(r,o){e[r]=t[r]?function(e){return(n=!n)?{value:i(t[r](e)),done:\"return\"===r}:o?o(e):e}:o}},n.__asyncValues=function(t){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var e,n=t[Symbol.asyncIterator];return n?n.call(t):(t=o(t),e={},r(\"next\"),r(\"throw\"),r(\"return\"),e[Symbol.asyncIterator]=function(){return this},e);function r(n){e[n]=t[n]&&function(e){return new Promise((function(r,o){(function(t,e,n,r){Promise.resolve(r).then((function(e){t({value:e,done:n})}),e)})(r,o,(e=t[n](e)).done,e.value)}))}}},n.__makeTemplateObject=function(t,e){return Object.defineProperty?Object.defineProperty(t,\"raw\",{value:e}):t.raw=e,t},n.__importStar=function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var n in t)Object.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e.default=t,e},n.__importDefault=function(t){return t&&t.__esModule?t:{default:t}},n.__classPrivateFieldGet=function(t,e){if(!e.has(t))throw new TypeError(\"attempted to get private field on non-instance\");return e.get(t)},n.__classPrivateFieldSet=function(t,e,n){if(!e.has(t))throw new TypeError(\"attempted to set private field on non-instance\");return e.set(t,n),n}},\n", - " function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(367)),t._testing=l(e(368));var n=e(72);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(22);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(369);t.safely=_.safely},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.1.1\"},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n", - " function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n", - " function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;on.length)),r=Array(e);for(let n=0;nn[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(en.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:no&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f0?0:r-1;for(;o>=0&&oe&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;or&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;et[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;ee[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;rn.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n", - " function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;ne*Math.PI/180)),e=l.map(e,e=>-e),super.normalize(e)}}n.AngleSpec=q,q.__name__=\"AngleSpec\";class G extends J{}n.BooleanSpec=G,G.__name__=\"BooleanSpec\";class K extends J{}n.ColorSpec=K,K.__name__=\"ColorSpec\";class Q extends J{}n.CoordinateSpec=Q,Q.__name__=\"CoordinateSpec\";class W extends J{}n.CoordinateSeqSpec=W,W.__name__=\"CoordinateSeqSpec\";class X extends V{get default_units(){return\"data\"}get valid_units(){return s.SpatialUnits}}n.DistanceSpec=X,X.__name__=\"DistanceSpec\";class Y extends J{}n.FontSizeSpec=Y,Y.__name__=\"FontSizeSpec\";class Z extends J{}n.MarkerSpec=Z,Z.__name__=\"MarkerSpec\";class ee extends J{}n.NumberSpec=ee,ee.__name__=\"NumberSpec\";class te extends J{}n.StringSpec=te,te.__name__=\"StringSpec\";class ne extends J{}n.NullStringSpec=ne,ne.__name__=\"NullStringSpec\"},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.Align=[\"start\",\"center\",\"end\"],o.Anchor=[\"top_left\",\"top_center\",\"top_right\",\"center_left\",\"center\",\"center_right\",\"bottom_left\",\"bottom_center\",\"bottom_right\"],o.AngleUnits=[\"deg\",\"rad\"],o.BoxOrigin=[\"corner\",\"center\"],o.ButtonType=[\"default\",\"primary\",\"success\",\"warning\",\"danger\"],o.CalendarPosition=[\"auto\",\"above\",\"below\"],o.Dimension=[\"width\",\"height\"],o.Dimensions=[\"width\",\"height\",\"both\"],o.Direction=[\"clock\",\"anticlock\"],o.Distribution=[\"uniform\",\"normal\"],o.FontStyle=[\"normal\",\"italic\",\"bold\",\"bold italic\"],o.HatchPatternType=[\"blank\",\"dot\",\"ring\",\"horizontal_line\",\"vertical_line\",\"cross\",\"horizontal_dash\",\"vertical_dash\",\"spiral\",\"right_diagonal_line\",\"left_diagonal_line\",\"diagonal_cross\",\"right_diagonal_dash\",\"left_diagonal_dash\",\"horizontal_wave\",\"vertical_wave\",\"criss_cross\",\" \",\".\",\"o\",\"-\",\"|\",\"+\",'\"',\":\",\"@\",\"/\",\"\\\\\",\"x\",\",\",\"`\",\"v\",\">\",\"*\"],o.HTTPMethod=[\"POST\",\"GET\"],o.HexTileOrientation=[\"pointytop\",\"flattop\"],o.HoverMode=[\"mouse\",\"hline\",\"vline\"],o.LatLon=[\"lat\",\"lon\"],o.LegendClickPolicy=[\"none\",\"hide\",\"mute\"],o.LegendLocation=o.Anchor,o.LineCap=[\"butt\",\"round\",\"square\"],o.LineJoin=[\"miter\",\"round\",\"bevel\"],o.LinePolicy=[\"prev\",\"next\",\"nearest\",\"interp\",\"none\"],o.Location=[\"above\",\"below\",\"left\",\"right\"],o.Logo=[\"normal\",\"grey\"],o.MarkerType=[\"asterisk\",\"circle\",\"circle_cross\",\"circle_dot\",\"circle_x\",\"circle_y\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"diamond_dot\",\"dot\",\"hex\",\"hex_dot\",\"inverted_triangle\",\"plus\",\"square\",\"square_cross\",\"square_dot\",\"square_pin\",\"square_x\",\"triangle\",\"triangle_dot\",\"triangle_pin\",\"x\",\"y\"],o.MutedPolicy=[\"show\",\"ignore\"],o.Orientation=[\"vertical\",\"horizontal\"],o.OutputBackend=[\"canvas\",\"svg\",\"webgl\"],o.PaddingUnits=[\"percent\",\"absolute\"],o.Place=[\"above\",\"below\",\"left\",\"right\",\"center\"],o.PointPolicy=[\"snap_to_data\",\"follow_mouse\",\"none\"],o.RadiusDimension=[\"x\",\"y\",\"max\",\"min\"],o.RenderLevel=[\"image\",\"underlay\",\"glyph\",\"guide\",\"annotation\",\"overlay\"],o.RenderMode=[\"canvas\",\"css\"],o.ResetPolicy=[\"standard\",\"event_only\"],o.RoundingFunction=[\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"],o.SelectionMode=[\"replace\",\"append\",\"intersect\",\"subtract\"],o.Side=[\"above\",\"below\",\"left\",\"right\"],o.SizingMode=[\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"],o.Sort=[\"ascending\",\"descending\"],o.SpatialUnits=[\"screen\",\"data\"],o.StartEnd=[\"start\",\"end\"],o.StepMode=[\"after\",\"before\",\"center\"],o.TapBehavior=[\"select\",\"inspect\"],o.TextAlign=[\"left\",\"right\",\"center\"],o.TextBaseline=[\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"],o.TextureRepetition=[\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"],o.TickLabelOrientation=[\"vertical\",\"horizontal\",\"parallel\",\"normal\"],o.TooltipAttachment=[\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"],o.UpdateMode=[\"replace\",\"append\"],o.VerticalAlign=[\"top\",\"middle\",\"bottom\"]},\n", - " function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=r(21),l=r(9);function s(r){const e=Number(r).toString(16);return 1==e.length?\"0\"+e:e}function o(r){if(0==(r+=\"\").indexOf(\"#\"))return r;if(n.is_svg_color(r))return n.svg_colors[r];if(0==r.indexOf(\"rgb\")){const e=r.replace(/^rgba?\\(|\\s+|\\)$/g,\"\").split(\",\");let t=e.slice(0,3).map(s).join(\"\");return 4==e.length&&(t+=s(Math.floor(255*parseFloat(e[3])))),\"#\"+t.slice(0,8)}return r}function a(r,e=1){if(!r)return[0,0,0,0];let t=o(r);t=t.replace(/ |#/g,\"\"),t.length<=4&&(t=t.replace(/(.)/g,\"$1$1\"));const n=t.match(/../g).map(r=>parseInt(r,16)/255);for(;n.length<3;)n.push(0);return n.length<4&&n.push(e),n.slice(0,4)}function c(r){let e;switch(r.substring(0,4)){case\"rgba\":e={start:\"rgba(\",len:4,alpha:!0};break;case\"rgb(\":e={start:\"rgb(\",len:3,alpha:!1};break;default:return!1}if(new RegExp(\".*?(\\\\.).*(,)\").test(r))return!1;const t=r.replace(e.start,\"\").replace(\")\",\"\").split(\",\").map(parseFloat);return t.length==e.len&&((!e.alpha||0<=t[3]&&t[3]<=1)&&!l.includes(t.slice(0,3).map(r=>0<=r&&r<=255),!1))}t.is_color=function(r){return n.is_svg_color(r.toLowerCase())||\"#\"==r.substring(0,1)||c(r)},t.rgb2hex=function(r,e,t){return`#${s(255&r)}${s(255&e)}${s(255&t)}`},t.color2hex=o,t.color2rgba=a,t.color2css=function(r,e=1){if(1==e)return r;{const[t,n,l,s]=a(r,e);return`rgba(${255*t},${255*n},${255*l},${s})`}},t.valid_rgb=c},\n", - " function _(e,F,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.svg_colors={indianred:\"#CD5C5C\",lightcoral:\"#F08080\",salmon:\"#FA8072\",darksalmon:\"#E9967A\",lightsalmon:\"#FFA07A\",crimson:\"#DC143C\",red:\"#FF0000\",firebrick:\"#B22222\",darkred:\"#8B0000\",pink:\"#FFC0CB\",lightpink:\"#FFB6C1\",hotpink:\"#FF69B4\",deeppink:\"#FF1493\",mediumvioletred:\"#C71585\",palevioletred:\"#DB7093\",coral:\"#FF7F50\",tomato:\"#FF6347\",orangered:\"#FF4500\",darkorange:\"#FF8C00\",orange:\"#FFA500\",gold:\"#FFD700\",yellow:\"#FFFF00\",lightyellow:\"#FFFFE0\",lemonchiffon:\"#FFFACD\",lightgoldenrodyellow:\"#FAFAD2\",papayawhip:\"#FFEFD5\",moccasin:\"#FFE4B5\",peachpuff:\"#FFDAB9\",palegoldenrod:\"#EEE8AA\",khaki:\"#F0E68C\",darkkhaki:\"#BDB76B\",lavender:\"#E6E6FA\",thistle:\"#D8BFD8\",plum:\"#DDA0DD\",violet:\"#EE82EE\",orchid:\"#DA70D6\",fuchsia:\"#FF00FF\",magenta:\"#FF00FF\",mediumorchid:\"#BA55D3\",mediumpurple:\"#9370DB\",blueviolet:\"#8A2BE2\",darkviolet:\"#9400D3\",darkorchid:\"#9932CC\",darkmagenta:\"#8B008B\",purple:\"#800080\",indigo:\"#4B0082\",slateblue:\"#6A5ACD\",darkslateblue:\"#483D8B\",mediumslateblue:\"#7B68EE\",greenyellow:\"#ADFF2F\",chartreuse:\"#7FFF00\",lawngreen:\"#7CFC00\",lime:\"#00FF00\",limegreen:\"#32CD32\",palegreen:\"#98FB98\",lightgreen:\"#90EE90\",mediumspringgreen:\"#00FA9A\",springgreen:\"#00FF7F\",mediumseagreen:\"#3CB371\",seagreen:\"#2E8B57\",forestgreen:\"#228B22\",green:\"#008000\",darkgreen:\"#006400\",yellowgreen:\"#9ACD32\",olivedrab:\"#6B8E23\",olive:\"#808000\",darkolivegreen:\"#556B2F\",mediumaquamarine:\"#66CDAA\",darkseagreen:\"#8FBC8F\",lightseagreen:\"#20B2AA\",darkcyan:\"#008B8B\",teal:\"#008080\",aqua:\"#00FFFF\",cyan:\"#00FFFF\",lightcyan:\"#E0FFFF\",paleturquoise:\"#AFEEEE\",aquamarine:\"#7FFFD4\",turquoise:\"#40E0D0\",mediumturquoise:\"#48D1CC\",darkturquoise:\"#00CED1\",cadetblue:\"#5F9EA0\",steelblue:\"#4682B4\",lightsteelblue:\"#B0C4DE\",powderblue:\"#B0E0E6\",lightblue:\"#ADD8E6\",skyblue:\"#87CEEB\",lightskyblue:\"#87CEFA\",deepskyblue:\"#00BFFF\",dodgerblue:\"#1E90FF\",cornflowerblue:\"#6495ED\",royalblue:\"#4169E1\",blue:\"#0000FF\",mediumblue:\"#0000CD\",darkblue:\"#00008B\",navy:\"#000080\",midnightblue:\"#191970\",cornsilk:\"#FFF8DC\",blanchedalmond:\"#FFEBCD\",bisque:\"#FFE4C4\",navajowhite:\"#FFDEAD\",wheat:\"#F5DEB3\",burlywood:\"#DEB887\",tan:\"#D2B48C\",rosybrown:\"#BC8F8F\",sandybrown:\"#F4A460\",goldenrod:\"#DAA520\",darkgoldenrod:\"#B8860B\",peru:\"#CD853F\",chocolate:\"#D2691E\",saddlebrown:\"#8B4513\",sienna:\"#A0522D\",brown:\"#A52A2A\",maroon:\"#800000\",white:\"#FFFFFF\",snow:\"#FFFAFA\",honeydew:\"#F0FFF0\",mintcream:\"#F5FFFA\",azure:\"#F0FFFF\",aliceblue:\"#F0F8FF\",ghostwhite:\"#F8F8FF\",whitesmoke:\"#F5F5F5\",seashell:\"#FFF5EE\",beige:\"#F5F5DC\",oldlace:\"#FDF5E6\",floralwhite:\"#FFFAF0\",ivory:\"#FFFFF0\",antiquewhite:\"#FAEBD7\",linen:\"#FAF0E6\",lavenderblush:\"#FFF0F5\",mistyrose:\"#FFE4E1\",gainsboro:\"#DCDCDC\",lightgray:\"#D3D3D3\",lightgrey:\"#D3D3D3\",silver:\"#C0C0C0\",darkgray:\"#A9A9A9\",darkgrey:\"#A9A9A9\",gray:\"#808080\",grey:\"#808080\",dimgray:\"#696969\",dimgrey:\"#696969\",lightslategray:\"#778899\",lightslategrey:\"#778899\",slategray:\"#708090\",slategrey:\"#708090\",darkslategray:\"#2F4F4F\",darkslategrey:\"#2F4F4F\",black:\"#000000\"},r.is_svg_color=function(e){return e in r.svg_colors}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class n{constructor(){this._dev=!1}set dev(e){this._dev=e}get dev(){return this._dev}}s.Settings=n,n.__name__=\"Settings\",s.settings=new n},\n", - " function _(e,l,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(1).__importStar(e(18));t.Line={line_color:[a.Color,\"black\"],line_alpha:[a.Number,1],line_width:[a.Number,1],line_join:[a.LineJoin,\"bevel\"],line_cap:[a.LineCap,\"butt\"],line_dash:[a.Array,[]],line_dash_offset:[a.Number,0]},t.Fill={fill_color:[a.Color,\"gray\"],fill_alpha:[a.Number,1]},t.Hatch={hatch_color:[a.Color,\"black\"],hatch_alpha:[a.Number,1],hatch_scale:[a.Number,12],hatch_pattern:[a.NullString,null],hatch_weight:[a.Number,1],hatch_extra:[a.Any,{}]},t.Text={text_color:[a.Color,\"#444444\"],text_alpha:[a.Number,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSize,\"16px\"],text_font_style:[a.FontStyle,\"normal\"],text_align:[a.TextAlign,\"left\"],text_baseline:[a.TextBaseline,\"bottom\"],text_line_height:[a.Number,1.2]},t.LineScalar={line_color:[a.ColorScalar,\"black\"],line_alpha:[a.NumberScalar,1],line_width:[a.NumberScalar,1],line_join:[a.LineJoinScalar,\"bevel\"],line_cap:[a.LineCapScalar,\"butt\"],line_dash:[a.ArrayScalar,[]],line_dash_offset:[a.NumberScalar,0]},t.FillScalar={fill_color:[a.ColorScalar,\"gray\"],fill_alpha:[a.NumberScalar,1]},t.HatchScalar={hatch_color:[a.ColorScalar,\"black\"],hatch_alpha:[a.NumberScalar,1],hatch_scale:[a.NumberScalar,12],hatch_pattern:[a.NullStringScalar,null],hatch_weight:[a.NumberScalar,1],hatch_extra:[a.AnyScalar,{}]},t.TextScalar={text_color:[a.ColorScalar,\"#444444\"],text_alpha:[a.NumberScalar,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSizeScalar,\"16px\"],text_font_style:[a.FontStyleScalar,\"normal\"],text_align:[a.TextAlignScalar,\"left\"],text_baseline:[a.TextBaselineScalar,\"bottom\"],text_line_height:[a.NumberScalar,1.2]},t.LineVector={line_color:[a.ColorSpec,\"black\"],line_alpha:[a.NumberSpec,1],line_width:[a.NumberSpec,1],line_join:[a.LineJoin,\"bevel\"],line_cap:[a.LineCap,\"butt\"],line_dash:[a.Array,[]],line_dash_offset:[a.Number,0]},t.FillVector={fill_color:[a.ColorSpec,\"gray\"],fill_alpha:[a.NumberSpec,1]},t.HatchVector={hatch_color:[a.ColorSpec,\"black\"],hatch_alpha:[a.NumberSpec,1],hatch_scale:[a.NumberSpec,12],hatch_pattern:[a.NullStringSpec,null],hatch_weight:[a.NumberSpec,1],hatch_extra:[a.Any,{}]},t.TextVector={text_color:[a.ColorSpec,\"#444444\"],text_alpha:[a.NumberSpec,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSizeSpec,\"16px\"],text_font_style:[a.FontStyle,\"normal\"],text_align:[a.TextAlign,\"left\"],text_baseline:[a.TextBaseline,\"bottom\"],text_line_height:[a.Number,1.2]}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(22);function u(){const t=new Array(32);for(let e=0;e<32;e++)t[e]=\"0123456789ABCDEF\".substr(Math.floor(16*Math.random()),1);return t[12]=\"4\",t[16]=\"0123456789ABCDEF\".substr(3&t[16].charCodeAt(0)|8,1),t.join(\"\")}r.startsWith=function(t,e,r=0){return t.substr(r,e.length)==e},r.uuid4=u;let s=1e3;r.uniqueId=function(t){const e=n.settings.dev?\"j\"+s++:u();return null!=t?`${t}-${e}`:e},r.escape=function(t){return t.replace(/(?:[&<>\"'`])/g,t=>{switch(t){case\"&\":return\"&\";case\"<\":return\"<\";case\">\":return\">\";case'\"':return\""\";case\"'\":return\"'\";case\"`\":return\"`\";default:return t}})},r.unescape=function(t){return t.replace(/&(amp|lt|gt|quot|#x27|#x60);/g,(t,e)=>{switch(e){case\"amp\":return\"&\";case\"lt\":return\"<\";case\"gt\":return\">\";case\"quot\":return'\"';case\"#x27\":return\"'\";case\"#x60\":return\"`\";default:return e}})},r.use_strict=function(t){return\"'use strict';\\n\"+t}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const r=t(8),o=Object.prototype.toString;n.isEqual=function(t,e){return function t(e,n,c,u){if(e===n)return 0!==e||1/e==1/n;if(null==e||null==n)return e===n;const i=o.call(e);if(i!==o.call(n))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+e==\"\"+n;case\"[object Number]\":return+e!=+e?+n!=+n:0==+e?1/+e==1/n:+e==+n;case\"[object Date]\":case\"[object Boolean]\":return+e==+n}const s=\"[object Array]\"===i;if(!s){if(\"object\"!=typeof e||\"object\"!=typeof n)return!1;const t=e.constructor,o=n.constructor;if(t!==o&&!(r.isFunction(t)&&t instanceof t&&r.isFunction(o)&&o instanceof o)&&\"constructor\"in e&&\"constructor\"in n)return!1}u=u||[];let f=(c=c||[]).length;for(;f--;)if(c[f]===e)return u[f]===n;if(c.push(e),u.push(n),s){if(f=e.length,f!==n.length)return!1;for(;f--;)if(!t(e[f],n[f],c,u))return!1}else{const r=Object.keys(e);let o;if(f=r.length,Object.keys(n).length!==f)return!1;for(;f--;)if(o=r[f],!n.hasOwnProperty(o)||!t(e[o],n[o],c,u))return!1}return c.pop(),u.pop(),!0}(t,e)}},\n", - " function _(t,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(8),e=t(11),s=Symbol(\"__ndarray__\");class i extends Uint8Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint8\",this.shape=null!=r?r:[this.length]}}n.Uint8NDArray=i,i.__name__=\"Uint8NDArray\";class _ extends Int8Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int8\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int8NDArray=_,_.__name__=\"Int8NDArray\";class c extends Uint16Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint16\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Uint16NDArray=c,c.__name__=\"Uint16NDArray\";class h extends Int16Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int16\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int16NDArray=h,h.__name__=\"Int16NDArray\";class u extends Uint32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Uint32NDArray=u,u.__name__=\"Uint32NDArray\";class y extends Int32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int32NDArray=y,y.__name__=\"Int32NDArray\";class l extends Float32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"float32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Float32NDArray=l,l.__name__=\"Float32NDArray\";class o extends Float64Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"float64\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}function A(t){return a.isObject(t)&&t.__ndarray__==s}n.Float64NDArray=o,o.__name__=\"Float64NDArray\",n.is_NDArray=A,n.ndarray=function(t,r={}){let{dtype:n}=r;null==n&&(n=t instanceof ArrayBuffer||a.isArray(t)?\"float64\":(()=>{switch(!0){case t instanceof Uint8Array:return\"uint8\";case t instanceof Int8Array:return\"int8\";case t instanceof Uint16Array:return\"uint16\";case t instanceof Int16Array:return\"int16\";case t instanceof Uint32Array:return\"uint32\";case t instanceof Int32Array:return\"int32\";case t instanceof Float32Array:return\"float32\";case t instanceof Float64Array:return\"float64\";default:e.unreachable()}})());const{shape:s}=r;switch(n){case\"uint8\":return new i(t,s);case\"int8\":return new _(t,s);case\"uint16\":return new c(t,s);case\"int16\":return new h(t,s);case\"uint32\":return new u(t,s);case\"int32\":return new y(t,s);case\"float32\":return new l(t,s);case\"float64\":return new o(t,s)}}},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(8),f=e(28),_=n.__importStar(e(26));function o(e){const r=new Uint8Array(e),t=Array.from(r).map(e=>String.fromCharCode(e));return btoa(t.join(\"\"))}function s(e){const r=atob(e),t=r.length,n=new Uint8Array(t);for(let e=0,a=t;e{switch(a){case\"uint8\":return new _.Uint8NDArray(o,n);case\"int8\":return new _.Int8NDArray(o,n);case\"uint16\":return new _.Uint16NDArray(o,n);case\"int16\":return new _.Int16NDArray(o,n);case\"uint32\":return new _.Uint32NDArray(o,n);case\"int32\":return new _.Int32NDArray(o,n);case\"float32\":return new _.Float32NDArray(o,n);case\"float64\":return new _.Float64NDArray(o,n)}})();if(f!==t.BYTE_ORDER)switch(l.BYTES_PER_ELEMENT){case 2:i(l);break;case 4:u(l);break;case 8:c(l)}return l},t.encode_NDArray=function(e,r){const n={order:t.BYTE_ORDER,dtype:e.dtype,shape:e.shape};if(null!=r){const t=\"\"+r.size;return r.set(t,e.buffer),Object.assign({__buffer__:t},n)}{const r=o(e.buffer);return Object.assign({__ndarray__:r},n)}}},\n", - " function _(e,n,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.is_ie=(()=>{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n", - " function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(30),r),e.__exportStar(t(149),r),e.__exportStar(t(176),r),e.__exportStar(t(180),r),e.__exportStar(t(194),r),e.__exportStar(t(198),r),e.__exportStar(t(204),r),e.__exportStar(t(208),r),e.__exportStar(t(238),r),e.__exportStar(t(241),r),e.__exportStar(t(243),r),e.__exportStar(t(260),r),e.__exportStar(t(123),r),e.__exportStar(t(266),r),e.__exportStar(t(270),r),e.__exportStar(t(297),r),e.__exportStar(t(298),r),e.__exportStar(t(299),r),e.__exportStar(t(300),r),e.__exportStar(t(301),r),e.__exportStar(t(306),r),e.__exportStar(t(308),r),e.__exportStar(t(319),r),e.__exportStar(t(323),r)},\n", - " function _(a,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});var r=a(31);o.Annotation=r.Annotation;var n=a(74);o.Arrow=n.Arrow;var t=a(75);o.ArrowHead=t.ArrowHead;var v=a(75);o.OpenHead=v.OpenHead;var l=a(75);o.NormalHead=l.NormalHead;var d=a(75);o.TeeHead=d.TeeHead;var i=a(75);o.VeeHead=i.VeeHead;var A=a(106);o.Band=A.Band;var H=a(107);o.BoxAnnotation=H.BoxAnnotation;var T=a(108);o.ColorBar=T.ColorBar;var p=a(133);o.Label=p.Label;var L=a(135);o.LabelSet=L.LabelSet;var b=a(136);o.Legend=b.Legend;var B=a(137);o.LegendItem=B.LegendItem;var S=a(139);o.PolyAnnotation=S.PolyAnnotation;var P=a(140);o.Slope=P.Slope;var g=a(141);o.Span=g.Span;var m=a(134);o.TextAnnotation=m.TextAnnotation;var w=a(142);o.Title=w.Title;var x=a(143);o.ToolbarPanel=x.ToolbarPanel;var s=a(144);o.Tooltip=s.Tooltip;var u=a(148);o.Whisker=u.Whisker},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importStar(t(32)),o=t(17),_=t(65),a=n.__importDefault(t(73));class r extends _.RendererView{get panel(){return this.layout}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,()=>this.plot_view.request_layout())}styles(){return[...super.styles(),a.default]}get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}_get_size(){throw new Error(\"not implemented\")}set_data(t){const e=this.model.materialize_dataspecs(t);if(o.extend(this,e),this.plot_model.use_map){const t=this;null!=t._x&&([t._x,t._y]=i.project_xy(t._x,t._y)),null!=t._xs&&([t._xs,t._ys]=i.project_xsys(t._xs,t._ys))}}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}s.AnnotationView=r,r.__name__=\"AnnotationView\";class l extends _.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}s.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n", - " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=r.__importDefault(t(33)),a=r.__importDefault(t(34)),c=new a.default(\"GOOGLE\"),l=new a.default(\"WGS84\");e.wgs84_mercator=o.default(l,c);const u={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},f={lon:[-180,180],lat:[-85.06,85.06]};function s(t,n){const r=Math.min(t.length,n.length),o=new Array(r),a=new Array(r);for(let c=0;c2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=a.default(e,n,t),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function u(e){return e instanceof o.default?e:e.oProj?e.oProj:o.default(e)}t.default=function(e,n,t){e=u(e);var r,o=!1;return void 0===n?(n=e,e=i,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=i,o=!0),n=u(n),t?c(e,n,t):(r={forward:function(t){return c(e,n,t)},inverse:function(t){return c(n,e,t)}},o&&(r.oProj=n),r)}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),i=s.__importDefault(e(35)),u=s.__importDefault(e(46)),l=s.__importDefault(e(47)),o=e(55),r=s.__importDefault(e(57)),f=s.__importDefault(e(58)),d=s.__importDefault(e(42));function p(e,t){if(!(this instanceof p))return new p(e);t=t||function(e){if(e)throw e};var a=i.default(e);if(\"object\"==typeof a){var s=p.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var l=d.default(r.default,a.datumCode);l&&(a.datum_params=l.towgs84?l.towgs84.split(\",\"):null,a.ellps=l.ellipse,a.datumName=l.datumName?l.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\";var m=o.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),n=o.eccentricity(m.a,m.b,m.rf,a.R_A),h=a.datum||f.default(a.datumCode,a.datum_params,m.a,m.b,n.es,n.ep2);u.default(this,a),u.default(this,s),this.a=m.a,this.b=m.b,this.rf=m.rf,this.sphere=m.sphere,this.es=n.es,this.e=n.e,this.ep2=n.ep2,this.datum=h,this.init(),t(null,this)}else t(e)}else t(e)}p.projections=l.default,p.projections.start(),a.default=p},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(36)),f=u.__importDefault(t(43)),i=u.__importDefault(t(38)),a=u.__importDefault(t(42));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=i.__importDefault(t(37)),f=i.__importDefault(t(38)),a=i.__importDefault(t(43));function l(t){var e=this;if(2===arguments.length){var r=arguments[1];\"string\"==typeof r?\"+\"===r.charAt(0)?l[t]=f.default(arguments[1]):l[t]=a.default(arguments[1]):l[t]=r}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?l.apply(e,t):l(t)}));if(\"string\"==typeof t){if(t in l)return l[t]}else\"EPSG\"in t?l[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?l[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?l[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}n.default(l),r.default=l},\n", - " function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.default=function(e){e(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),e(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),e(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),e.WGS84=e[\"EPSG:4326\"],e[\"EPSG:3785\"]=e[\"EPSG:3857\"],e.GOOGLE=e[\"EPSG:3857\"],e[\"EPSG:900913\"]=e[\"EPSG:3857\"],e[\"EPSG:102113\"]=e[\"EPSG:3857\"]}},\n", - " function _(t,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),a=t(39),u=e.__importDefault(t(40)),r=e.__importDefault(t(41)),i=e.__importDefault(t(42));o.default=function(t){var n,o,e,f={},l=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){f.rf=parseFloat(t)},lat_0:function(t){f.lat0=t*a.D2R},lat_1:function(t){f.lat1=t*a.D2R},lat_2:function(t){f.lat2=t*a.D2R},lat_ts:function(t){f.lat_ts=t*a.D2R},lon_0:function(t){f.long0=t*a.D2R},lon_1:function(t){f.long1=t*a.D2R},lon_2:function(t){f.long2=t*a.D2R},alpha:function(t){f.alpha=parseFloat(t)*a.D2R},lonc:function(t){f.longc=t*a.D2R},x_0:function(t){f.x0=parseFloat(t)},y_0:function(t){f.y0=parseFloat(t)},k_0:function(t){f.k0=parseFloat(t)},k:function(t){f.k0=parseFloat(t)},a:function(t){f.a=parseFloat(t)},b:function(t){f.b=parseFloat(t)},r_a:function(){f.R_A=!0},zone:function(t){f.zone=parseInt(t,10)},south:function(){f.utmSouth=!0},towgs84:function(t){f.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){f.to_meter=parseFloat(t)},units:function(t){f.units=t;var n=i.default(r.default,t);n&&(f.to_meter=n.to_meter)},from_greenwich:function(t){f.from_greenwich=t*a.D2R},pm:function(t){var n=i.default(u.default,t);f.from_greenwich=(n||parseFloat(t))*a.D2R},nadgrids:function(t){\"@null\"===t?f.datumCode=\"none\":f.nadgrids=t},axis:function(t){3===t.length&&-1!==\"ewnsud\".indexOf(t.substr(0,1))&&-1!==\"ewnsud\".indexOf(t.substr(1,1))&&-1!==\"ewnsud\".indexOf(t.substr(2,1))&&(f.axis=t)}};for(n in l)o=l[n],n in c?\"function\"==typeof(e=c[n])?e(o):f[e]=o:f[n]=o;return\"string\"==typeof f.datumCode&&\"WGS84\"!==f.datumCode&&(f.datumCode=f.datumCode.toLowerCase()),f}},\n", - " function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n", - " function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var a={};r.default=a,a.greenwich=0,a.lisbon=-9.131906111111,a.paris=2.337229166667,a.bogota=-74.080916666667,a.madrid=-3.687938888889,a.rome=12.452333333333,a.bern=7.439583333333,a.jakarta=106.807719444444,a.ferro=-17.666666666667,a.brussels=4.367975,a.stockholm=18.058277777778,a.athens=23.7163375,a.oslo=10.722916666667},\n", - " function _(e,t,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n", - " function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(39),f=n.__importDefault(e(51));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(39);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n", - " function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(39);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n", - " function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),u=t(39),m=r.__importDefault(t(60)),_=r.__importDefault(t(62)),o=r.__importDefault(t(34)),d=r.__importDefault(t(63)),f=r.__importDefault(t(64));a.default=function t(e,a,r){var n;return Array.isArray(r)&&(r=d.default(r)),f.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===u.PJD_3PARAM||t.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===u.PJD_3PARAM||e.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,n=new o.default(\"WGS84\"),r),e=n),\"enu\"!==e.axis&&(r=_.default(e,!1,r)),\"longlat\"===e.projName?r={x:r.x*u.D2R,y:r.y*u.D2R,z:r.z||0}:(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),r=e.inverse(r)),e.from_greenwich&&(r.x+=e.from_greenwich),r=m.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*u.R2D,y:r.y*u.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?_.default(a,!0,r):r}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const u=e(39),o=e(61);function _(e){return e===u.PJD_3PARAM||e===u.PJD_7PARAM}a.default=function(e,t,a){return o.compareDatums(e,t)||e.datum_type===u.PJD_NODATUM||t.datum_type===u.PJD_NODATUM?a:e.es!==t.es||e.a!==t.a||_(e.datum_type)||_(t.datum_type)?(a=o.geodeticToGeocentric(a,e.es,e.a),_(e.datum_type)&&(a=o.geocentricToWgs84(a,e.datum_type,e.datum_params)),_(t.datum_type)&&(a=o.geocentricFromWgs84(a,t.datum_type,t.datum_params)),o.geocentricToGeodetic(a,t.es,t.a,t.b)):a}},\n", - " function _(a,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(39);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===e.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==e.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,u,s,_,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-e.HALF_PI&&d>-1.001*e.HALF_PI)d=-e.HALF_PI;else if(d>e.HALF_PI&&d<1.001*e.HALF_PI)d=e.HALF_PI;else{if(d<-e.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>e.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),u=Math.sin(d),_=Math.cos(d),s=u*u,{x:((m=r/Math.sqrt(1-t*s))+i)*_*Math.cos(n),y:(m+i)*_*Math.sin(n),z:(m*(1-t)+i)*u}},r.geocentricToGeodetic=function(a,t,r,m){var u,s,_,n,d,i,p,P,o,y,M,z,c,A,x,f=a.x,h=a.y,I=a.z?a.z:0;if(u=Math.sqrt(f*f+h*h),s=Math.sqrt(f*f+h*h+I*I),u/r<1e-12){if(A=0,s/r<1e-12)return e.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else A=Math.atan2(h,f);_=I/s,P=(n=u/s)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),o=_*d,c=0;do{c++,i=t*(p=r/Math.sqrt(1-t*o*o))/(p+(x=u*P+I*o-p*(1-t*o*o))),z=(M=_*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(y=n*(1-i)*d)*o,P=y,o=M}while(z*z>1e-24&&c<30);return{x:A,y:Math.atan(M/Math.abs(y)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-_*a.z)+u,z:i*(-n*a.x+_*a.y+a.z)+s}}},r.geocentricFromWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-u)/i,o=(a.z-s)/i;return{x:p+d*P-n*o,y:-d*p+P+_*o,z:n*p-_*P+o}}}},\n", - " function _(e,a,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.default=function(e,a,i){var s,n,r,c=i.x,d=i.y,u=i.z||0,f={};for(r=0;r<3;r++)if(!a||2!==r||void 0!==i.z)switch(0===r?(s=c,n=-1!==\"ew\".indexOf(e.axis[r])?\"x\":\"y\"):1===r?(s=d,n=-1!==\"ns\".indexOf(e.axis[r])?\"y\":\"x\"):(s=u,n=\"z\"),e.axis[r]){case\"e\":case\"w\":case\"n\":case\"s\":f[n]=s;break;case\"u\":void 0!==i[n]&&(f.z=s);break;case\"d\":void 0!==i[n]&&(f.z=-s);break;default:return null}return f}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){var n={x:e[0],y:e[1]};return e.length>2&&(n.z=e[2]),e.length>3&&(n.m=e[3]),n}},\n", - " function _(e,i,n){function t(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(66),s=r.__importStar(e(70)),_=r.__importStar(e(18)),l=e(71);class o extends n.DOMView{initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this._has_finished=!0}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{canvas_view:e}=this.plot_view;return\"overlay\"==this.model.level?e.overlays:e.primary}request_render(){this.plot_view.request_render()}map_to_screen(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)}get needs_clip(){return!1}notify_finished(){this.plot_view.notify_finished()}get has_webgl(){return!1}}i.RendererView=o,o.__name__=\"RendererView\";class a extends l.Model{constructor(e){super(e)}static init_Renderer(){this.define({level:[_.RenderLevel],visible:[_.Boolean,!0]})}}i.Renderer=a,a.__name__=\"Renderer\",a.init_Renderer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(67),h=e(68),n=i.__importStar(e(68)),l=i.__importDefault(e(69));class _ extends r.View{initialize(){super.initialize(),this._has_finished=!1,this.is_root&&(this._stylesheet=h.stylesheet),this._inject_styles(),this.el=this._createElement()}remove(){n.removeElement(this.el),super.remove()}css_classes(){return[]}styles(){return[l.default]}cursor(e,t){return null}render(){}renderTo(e){e.appendChild(this.el),this.render()}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}_inject_styles(){const{stylesheet:e}=this;for(const t of this.styles())e.append(t)}_createElement(){return n.createElement(this.tagName,{class:this.css_classes()})}}s.DOMView=_,_.__name__=\"DOMView\",_.prototype.tagName=\"div\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(14),n=t(8);class o{constructor(t){if(this.removed=new r.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),null==t.model)throw new Error(\"model of a view wasn't configured\");this.model=t.model,this._parent=t.parent}get ready(){return this._ready}connect(t,e){return t.connect((t,i)=>{const r=Promise.resolve(e.call(this,t,i));this._ready=this._ready.then(()=>r)},this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){}async lazy_initialize(){}remove(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get parent(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")}get is_root(){return null===this.parent}get root(){return this.is_root?this:this.parent.root}assert_root(){if(!this.is_root)throw new Error(this.toString()+\" is not a root layout\")}connect_signals(){}disconnect_signals(){r.Signal.disconnectReceiver(this)}on_change(t,e){for(const i of n.isArray(t)?t:[t])this.connect(i.change,e)}}i.View=o,o.__name__=\"View\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(8),o=t=>(e={},...n)=>{const o=document.createElement(t);o.classList.add(\"bk\");for(const t in e){let n=e[t];if(null!=n&&(!i.isBoolean(n)||n))if(\"class\"===t&&(i.isString(n)&&(n=n.split(/\\s+/)),i.isArray(n)))for(const t of n)null!=t&&o.classList.add(t);else if(\"style\"===t&&i.isPlainObject(n))for(const t in n)o.style[t]=n[t];else if(\"data\"===t&&i.isPlainObject(n))for(const t in n)o.dataset[t]=n[t];else o.setAttribute(t,n)}function s(t){if(t instanceof Element)o.appendChild(t);else if(i.isString(t))o.appendChild(document.createTextNode(t));else if(null!=t&&!1!==t)throw new Error(\"expected a DOM element, string, false or null, got \"+JSON.stringify(t))}for(const t of n)if(i.isArray(t))for(const e of t)s(e);else s(t);return o};function s(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function l(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function r(t,e){const n=Element.prototype;return(n.matches||n.webkitMatchesSelector||n.mozMatchesSelector||n.msMatchesSelector).call(t,e)}function a(t){return parseFloat(t)||0}function c(t){const e=getComputedStyle(t);return{border:{top:a(e.borderTopWidth),bottom:a(e.borderBottomWidth),left:a(e.borderLeftWidth),right:a(e.borderRightWidth)},margin:{top:a(e.marginTop),bottom:a(e.marginBottom),left:a(e.marginLeft),right:a(e.marginRight)},padding:{top:a(e.paddingTop),bottom:a(e.paddingBottom),left:a(e.paddingLeft),right:a(e.paddingRight)}}}function h(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return o(t)(e,...n)},n.div=o(\"div\"),n.span=o(\"span\"),n.canvas=o(\"canvas\"),n.link=o(\"link\"),n.style=o(\"style\"),n.a=o(\"a\"),n.p=o(\"p\"),n.i=o(\"i\"),n.pre=o(\"pre\"),n.button=o(\"button\"),n.label=o(\"label\"),n.input=o(\"input\"),n.select=o(\"select\"),n.option=o(\"option\"),n.optgroup=o(\"optgroup\"),n.textarea=o(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=s,n.removeElement=s,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=l,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=r,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(r(n,e))return n;return null},n.extents=c,n.size=h,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=c(t),{width:s,height:l}=h(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=c(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=e.x+\"px\",i.top=e.y+\"px\",i.width=e.width+\"px\",i.height=e.height+\"px\",null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class d{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n", - " function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].levelthis.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;nnew n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n", - " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.lengthnew _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in : ${i}ms`),c.logger.trace(` - mask_data finished in : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);rthis,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;ethis,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];ithis._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n", - " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;hi.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;aa.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n", - " function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n", - " function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;es.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n", - " function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;tnew o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&tthis.stop&&ithis.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;ei.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;tr||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;tr||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", - " function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n", - " function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;tu?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n", - " function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;rt)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;rt.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;ethis.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;lnew o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;sthis.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return ethis._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n", - " function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", - " function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n", - " function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;tnew a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n", - " function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;tc&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;ih(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;ic||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n", - " function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&ht[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n", - " function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&tnew r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n", - " function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n", - " function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n", - " function _(e,n,t){\n", - " /*!\n", - " * numbro.js\n", - " * version : 1.6.2\n", - " * author : Företagsplatsen AB\n", - " * license : MIT\n", - " * http://www.foretagsplatsen.se\n", - " */\n", - " var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ \",\"\")):l=l.replace(\"$\",\"\");if(a=h(e,l,t,p),-1===n.indexOf(\"$\"))switch(i[o].currency.position){case\"postfix\":a.indexOf(\")\")>-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;break;case\"infix\":break;case\"prefix\":a.indexOf(\"(\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=Math.max(c,f)+1,a.splice(r,0,i[o].currency.symbol+d),a=a.join(\"\")):a=i[o].currency.symbol+d+a;break;default:throw Error('Currency position should be among [\"prefix\", \"infix\", \"postfix\"]')}else u<=1?a.indexOf(\"(\")>-1||a.indexOf(\"+\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=1,(u-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;return a}(e,n,t):n.indexOf(\"%\")>-1?function(e,n,t){var r,i=\"\";e*=100,n.indexOf(\" %\")>-1?(i=\" \",n=n.replace(\" %\",\"\")):n=n.replace(\"%\",\"\");(r=h(e,n,t)).indexOf(\")\")>-1?((r=r.split(\"\")).splice(-1,0,i+\"%\"),r=r.join(\"\")):r=r+i+\"%\";return r}(e,n,t):n.indexOf(\":\")>-1?function(e){var n=Math.floor(e/60/60),t=Math.floor((e-60*n*60)/60),r=Math.round(e-60*n*60-60*t);return n+\":\"+(t<10?\"0\"+t:t)+\":\"+(r<10?\"0\"+r:r)}(e):h(e,n,t)}function h(e,n,t,r){var a,u,c,s,d,h,p,m,x,g,O,b,w,y,M,v,$,B=!1,E=!1,F=!1,k=\"\",U=!1,N=!1,S=!1,j=!1,D=!1,C=\"\",L=\"\",T=Math.abs(e),K=[\"B\",\"KiB\",\"MiB\",\"GiB\",\"TiB\",\"PiB\",\"EiB\",\"ZiB\",\"YiB\"],G=[\"B\",\"KB\",\"MB\",\"GB\",\"TB\",\"PB\",\"EB\",\"ZB\",\"YB\"],I=\"\",P=!1,R=!1;if(0===e&&null!==l)return l;if(!isFinite(e))return\"\"+e;if(0===n.indexOf(\"{\")){var W=n.indexOf(\"}\");if(-1===W)throw Error('Format should also contain a \"}\"');b=n.slice(1,W),n=n.slice(W+1)}else b=\"\";if(n.indexOf(\"}\")===n.length-1){var Y=n.indexOf(\"{\");if(-1===Y)throw Error('Format should also contain a \"{\"');w=n.slice(Y+1,-1),n=n.slice(0,Y+1)}else w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" a\",\"\")):n=n.replace(\"a\",\"\"),p=0===(p=(d=Math.floor(Math.log(T)/Math.LN10)+1)%3)?3:p,g&&0!==T&&(h=Math.floor(Math.log(T)/Math.LN10)+1-g,m=3*~~((Math.min(g,d)-p)/3),T/=Math.pow(10,m),-1===n.indexOf(\".\")&&g>3))for(n+=\"[.]\",M=(M=0===h?0:3*~~(h/3)-h)<0?M+3:M,a=0;a=Math.pow(10,12)&&!D||j?(k+=i[o].abbreviations.trillion,e/=Math.pow(10,12)):T=Math.pow(10,9)&&!D||S?(k+=i[o].abbreviations.billion,e/=Math.pow(10,9)):T=Math.pow(10,6)&&!D||N?(k+=i[o].abbreviations.million,e/=Math.pow(10,6)):(T=Math.pow(10,3)&&!D||U)&&(k+=i[o].abbreviations.thousand,e/=Math.pow(10,3)))}if(n.indexOf(\"b\")>-1)for(n.indexOf(\" b\")>-1?(C=\" \",n=n.replace(\" b\",\"\")):n=n.replace(\"b\",\"\"),s=0;s<=K.length;s++)if(u=Math.pow(1024,s),c=Math.pow(1024,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"d\")>-1)for(n.indexOf(\" d\")>-1?(C=\" \",n=n.replace(\" d\",\"\")):n=n.replace(\"d\",\"\"),s=0;s<=G.length;s++)if(u=Math.pow(1e3,s),c=Math.pow(1e3,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"o\")>-1&&(n.indexOf(\" o\")>-1?(L=\" \",n=n.replace(\" o\",\"\")):n=n.replace(\"o\",\"\"),i[o].ordinal&&(L+=i[o].ordinal(e))),n.indexOf(\"[.]\")>-1&&(F=!0,n=n.replace(\"[.]\",\".\")),x=e.toString().split(\".\")[0],O=n.split(\".\")[1],y=n.indexOf(\",\"),O){if(x=(I=-1!==O.indexOf(\"*\")?f(e,e.toString().split(\".\")[1].length,t):O.indexOf(\"[\")>-1?f(e,(O=(O=O.replace(\"]\",\"\")).split(\"[\"))[0].length+O[1].length,t,O[1].length):f(e,O.length,t)).split(\".\")[0],I.split(\".\")[1].length)I=(r?k+r:i[o].delimiters.decimal)+I.split(\".\")[1];else I=\"\";F&&0===Number(I.slice(1))&&(I=\"\")}else x=f(e,null,t);return x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n", - " function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", - " function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n{const n=i.replace_placeholders(this.url,t,e);this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=r,r.__name__=\"OpenURL\",r.init_OpenURL()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(181);r.Canvas=n.Canvas;var s=a(184);r.CartesianFrame=s.CartesianFrame},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(13),n=e(66),l=e(72),o=s.__importStar(e(18)),r=e(68),h=e(17),c=e(88),d=e(182),_=e(183),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),p={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class g{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new c.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:p});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new _.SVGRenderingContext2D;this._ctx=e,this._canvas=e.getSvg(),this._el=r.div({style:p},this._canvas);break}}d.fixup_ctx(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof _.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:s}=this.bbox;this.ctx.clearRect(e,t,i,s)}finish(){this.ctx.restore()}save(e){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)if(null!=t.msToBlob){const i=t.msToBlob();window.navigator.msSaveBlob(i,e)}else{const i=document.createElement(\"a\");i.href=t.toDataURL(\"image/png\"),i.download=e+\".png\",i.target=\"_blank\",i.dispatchEvent(new MouseEvent(\"click\"))}else{const t=this._ctx.getSerializedSvg(!0),i=new Blob([t],{type:\"text/plain\"}),s=document.createElement(\"a\");s.download=e+\".svg\",s.innerHTML=\"Download svg\",s.href=window.URL.createObjectURL(i),s.onclick=e=>document.body.removeChild(e.target),s.style.display=\"none\",document.body.appendChild(s),s.click()}}}i.CanvasLayer=g,g.__name__=\"CanvasLayer\";class b extends n.DOMView{initialize(){super.initialize();const{output_backend:e,hidpi:t}=this.model;\"webgl\"==e&&(this.webgl=v),this.underlays_el=r.div({style:p}),this.primary=new g(e,t),this.overlays=new g(e,t),this.overlays_el=r.div({style:p}),this.events_el=r.div({class:\"bk-canvas-events\",style:p});const i=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];h.extend(this.el.style,p),r.append(this.el,...i),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[n,l,o,r]=e,{xview:h,yview:c}=this.bbox,d=h.compute(n),_=c.compute(l+r),v=this.pixel_ratio;a.scissor(v*d,v*_,v*o,v*r),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE)}}clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:i}=e;t.viewport(0,0,i.width,i.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT||t.DEPTH_BUFFER_BIT)}}blit_webgl(e){const{webgl:t}=this;if(null!=t&&(l.logger.debug(\"drawing with WebGL\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi)){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}}save(e){const{output_backend:t}=this.model,{width:i,height:s}=this.bbox,a=new g(t,!1);a.resize(i,s),a.ctx.drawImage(this.primary.canvas,0,0),a.ctx.drawImage(this.overlays.canvas,0,0),a.save(e)}}i.CanvasView=b,b.__name__=\"CanvasView\";class w extends a.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal({hidpi:[o.Boolean,!0],output_backend:[o.OutputBackend,\"canvas\"]})}}i.Canvas=w,w.__name__=\"Canvas\",w.init_Canvas()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){e.setLineDash||(e.setLineDash=t=>{e.mozDash=t,e.webkitLineDash=t}),e.getLineDash||(e.getLineDash=()=>e.mozDash)}(e),function(e){e.setLineDashOffset=t=>{e.lineDashOffset=t,e.mozDashOffset=t,e.webkitLineDashOffset=t},e.getLineDashOffset=()=>e.mozDashOffset}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,a,o,s,i,m,h=!1){const l=.551784;e.translate(t,n),e.rotate(s);let u=a,r=o;h&&(u=-a,r=-o),e.moveTo(-u,0),e.bezierCurveTo(-u,r*l,-u*l,r,0,r),e.bezierCurveTo(u*l,r,u,r*l,u,0),e.bezierCurveTo(u,-r*l,u*l,-r,0,-r),e.bezierCurveTo(-u*l,-r,-u,-r*l,-u,0),e.rotate(-s),e.translate(-t,-n)})}(e)}},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(8);function r(t){return[...t.childNodes]}function n(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let s=\"\";do{s=\"\";for(let t=0;t<12;t++)s+=e[Math.floor(Math.random()*e.length)]}while(t[s]);return s}function a(t){const e={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return e[t]||e.start}function o(t){const e={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return e[t]||e.alphabetic}const l=function(t,e){const s=new Map,i=t.split(\",\");e=e||10;for(let t=0;t0){\"path\"===this.__currentElement.nodeName&&(this.__currentElementsToStyle||(this.__currentElementsToStyle={element:e,children:[]}),this.__currentElementsToStyle.children.push(this.__currentElement),this.__applyCurrentDefaultPath());const t=this.__createElement(\"g\");e.appendChild(t),this.__currentElement=t}let s=this.__currentElement.getAttribute(\"transform\");if(s){if(s.includes(t))return;s+=\" \"}else s=\"\";s+=t,this.__currentElement.setAttribute(\"transform\",s)}scale(t,e){this.__addTransform(`scale(${t},${null!=e?e:t})`)}rotate(t){const e=180*t/Math.PI,[s,i]=[0,0];this.__addTransform(`rotate(${e},${s},${i})`)}translate(t,e){this.__addTransform(`translate(${t},${e})`)}transform(t,e,s,i,r,n){this.__addTransform(`matrix(${t},${e},${s},${i},${r},${n})`)}beginPath(){this.__currentDefaultPath=\"\",this.__currentPosition=null;const t=this.__createElement(\"path\",{},!0);this.__closestGroupOrSvg().appendChild(t),this.__currentElement=t}__applyCurrentDefaultPath(){const t=this.__currentElement;\"path\"===t.nodeName?t.setAttribute(\"d\",this.__currentDefaultPath):console.error(\"Attempted to apply path command to node\",t.nodeName)}__addPathCommand(t){this.__currentDefaultPath+=\" \",this.__currentDefaultPath+=t}moveTo(t,e){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.__currentPosition={x:t,y:e},this.__addPathCommand(`M ${t} ${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const c=l[0]*h[0]+l[1]*h[1],_=Math.acos(Math.abs(c)),u=o([l[0]+h[0],l[1]+h[1]]),d=r/Math.sin(_/2),p=t+d*u[0],m=e+d*u[1],g=[-l[1],l[0]],f=[h[1],-h[0]];function v(t){const e=t[0];return t[1]>=0?Math.acos(e):-Math.acos(e)}const w=v(g),b=v(f);this.lineTo(p+g[0]*r,m+g[1]*r),this.arc(p,m,r,w,b)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill stroke markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\")}fill(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke fill markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\")}rect(t,e,s,i){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+s,e),this.lineTo(t+s,e+i),this.lineTo(t,e+i),this.lineTo(t,e),this.closePath()}fillRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n", - " function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n", - " function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", - " function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n", - " function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n", - " function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n", - " function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n", - " function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n", - " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n", - " function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", - " function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", - " function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n", - " function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;sthis._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;tthis.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;eNaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n", - " function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t1)for(let i=1,n=this._xs[t][s].length;ie-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e1){let o=!1;for(let i=1;i0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;is-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;nthis._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;tthis.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;it[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;ethis.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n", - " function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n", - " function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", - " function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n", - " function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"},\n", - " function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n width: 28px;\\n height: 28px;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n position: absolute;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n width: auto;\\n height: auto;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n cursor: default;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n width: 1px;\\n margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n height: 1px;\\n margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n border-top-right-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n border-bottom-left-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n overflow: hidden;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n height: auto;\\n margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n'},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n", - " function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;tu(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n", - " function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n", - " function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;tu){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(eg&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;enew r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n", - " function _(t,e,n){\n", - " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", - " * http://hammerjs.github.io/\n", - " *\n", - " * Copyright (c) 2016 Jorik Tangelder;\n", - " * Licensed under the MIT license */\n", - " !function(t,n,i,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=n.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,n){return setTimeout(y(t,n),e)}function p(t,e,n){return!!Array.isArray(t)&&(f(t,n[e],n),!0)}function f(t,e,n){var i;if(t)if(t.forEach)t.forEach(e,n);else if(void 0!==t.length)for(i=0;i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,i),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(null==t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),n=1;n-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,n){if(t.indexOf&&!n)return t.indexOf(e);for(var i=0;in[e]})):i.sort()),i}function D(t,e){for(var n,i,r=e[0].toUpperCase()+e.slice(1),s=0;s1&&!n.firstMultiple?n.firstMultiple=W(e):1===r&&(n.firstMultiple=!1);var s=n.firstInput,o=n.firstMultiple,a=o?o.center:s.center,h=e.center=q(i);e.timeStamp=c(),e.deltaTime=e.timeStamp-s.timeStamp,e.angle=U(a,h),e.distance=L(a,h),function(t,e){var n=e.center,i=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},i=t.offsetDelta={x:n.x,y:n.y});e.deltaX=r.x+(n.x-i.x),e.deltaY=r.y+(n.y-i.y)}(n,e),e.offsetDirection=H(e.deltaX,e.deltaY);var l=k(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=l.x,e.overallVelocityY=l.y,e.overallVelocity=u(l.x)>u(l.y)?l.x:l.y,e.scale=o?(p=o.pointers,f=i,L(f[0],f[1],X)/L(p[0],p[1],X)):1,e.rotation=o?function(t,e){return U(e[1],e[0],X)+U(t[1],t[0],X)}(o.pointers,i):0,e.maxPointers=n.prevInput?e.pointers.length>n.prevInput.maxPointers?e.pointers.length:n.prevInput.maxPointers:e.pointers.length,function(t,e){var n,i,r,s,o=t.lastInterval||e,a=e.timeStamp-o.timeStamp;if(8!=e.eventType&&(a>25||void 0===o.velocity)){var h=e.deltaX-o.deltaX,c=e.deltaY-o.deltaY,l=k(a,h,c);i=l.x,r=l.y,n=u(l.x)>u(l.y)?l.x:l.y,s=H(h,c),t.lastInterval=e}else n=o.velocity,i=o.velocityX,r=o.velocityY,s=o.direction;e.velocity=n,e.velocityX=i,e.velocityY=r,e.direction=s}(n,e);var p,f;var v=t.element;_(e.srcEvent.target,v)&&(v=e.srcEvent.target);e.target=v}(t,n),t.emit(\"hammer.input\",n),t.recognize(n),t.session.prevInput=n}function W(t){for(var e=[],n=0;n=u(e)?t<0?2:4:e<0?8:16}function L(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return Math.sqrt(i*i+r*r)}function U(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return 180*Math.atan2(r,i)/Math.PI}Y.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var V={mousedown:1,mousemove:2,mouseup:4};function j(){this.evEl=\"mousedown\",this.evWin=\"mousemove mouseup\",this.pressed=!1,Y.apply(this,arguments)}g(j,Y,{handler:function(t){var e=V[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:\"mouse\",srcEvent:t}))}});var G={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Z={2:\"touch\",3:\"pen\",4:\"mouse\",5:\"kinect\"},B=\"pointerdown\",$=\"pointermove pointerup pointercancel\";function J(){this.evEl=B,this.evWin=$,Y.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(B=\"MSPointerDown\",$=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(J,Y,{handler:function(t){var e=this.store,n=!1,i=t.type.toLowerCase().replace(\"ms\",\"\"),r=G[i],s=Z[t.pointerType]||t.pointerType,o=\"touch\"==s,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(n=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),n&&e.splice(a,1))}});var K={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function Q(){this.evTarget=\"touchstart\",this.evWin=\"touchstart touchmove touchend touchcancel\",this.started=!1,Y.apply(this,arguments)}function tt(t,e){var n=x(t.touches),i=x(t.changedTouches);return 12&e&&(n=P(n.concat(i),\"identifier\",!0)),[n,i]}g(Q,Y,{handler:function(t){var e=K[t.type];if(1===e&&(this.started=!0),this.started){var n=tt.call(this,t,e);12&e&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:\"touch\",srcEvent:t})}}});var et={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function nt(){this.evTarget=\"touchstart touchmove touchend touchcancel\",this.targetIds={},Y.apply(this,arguments)}function it(t,e){var n=x(t.touches),i=this.targetIds;if(3&e&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,s,o=x(t.changedTouches),a=[],h=this.target;if(s=n.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,n=this.state;function i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancee.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", - " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n", - " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n visibility: hidden;\\n opacity: 0;\\n transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n flex-shrink: 0;\\n -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n justify-content: flex-end;\\n -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n order: 1;\\n -webkit-order: 1;\\n margin-left: 5px;\\n margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n justify-content: flex-start;\\n -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n order: 0;\\n -webkit-order: 0;\\n margin-bottom: 5px;\\n margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n width: 30px;\\n height: 30px;\\n cursor: pointer;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n content: \" \";\\n display: inline-block;\\n background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n height: 10px;\\n width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n height: 1px;\\n width: 10px;\\n}\\n'},\n", - " function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-help {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-hover {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-crosshair {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-lasso-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-pan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4lKssI9gAAAOtJREFUWMPVll0KwyAMgNPgoc0JzDX2Mtgp3csKErSamGabIEUo/T6bHz0ezxdsjPJ5kvUDaROem7VJAp3gufkbtwtI+JYEOsHNEugIN0mgM1wtsVoF1MnyKtZHZBW4DVxoMh6jaAW0MTfnBAbALyUwCD6UwEB4VyJN4FXx4aqUAACgFLjzrsRP9AECAP4Cm88QtJeJrGivdeNdPpko+j1H7XzUB+6WYHmo4eDk4wj41XFMEfBZGXpK0F/eB+QhVcXslVo7i6eANjF5NYSojCN7wi05MJNgbfKiMaPZA75TBVKCrWWbnGrb3DPePZ9Bcbe/QecAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-xpan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4X4hxZdgAAAMpJREFUWMPtlsEKwjAMhr/pwOOedINJe/PobWXCfAIvgo/nA4heOiilZQqN2yE5lpD/I38SWt3uD9aMHSuHAiiAAmwaYCqoM/0KMABtQYDW11wEaHyiEei28bWb8LGOkk5C4iEEgE11YBQWDyHGuAMD0CeS30IQPfACbC3o+Vd2bOIOWMCtoO1mC+ap3CfmoCokFs/SZd6E0ILjnzrhvFbyEJ2FIZzXyB6iZ3AkjITn8WOdSbbAoaD4NSW+tIZdQYBOPyQKoAAKkIsPv0se4A/1UC0AAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-ypan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4anK0lywAAAMVJREFUWMPtlzEKwzAMRX/S7rlpIMXeOnaLaME36FLo8XqCdNFghGljyc4kgQi2Q/SUj0F/eL7eMMTKz6j9wNlYPGRrFcSoLH4XxQPvdQeYuPOlcLbw2dRTgqvoXEaolWM0aP4LYm0NkHYWzyFSSwlmzjw2sR6OvAXNwgEcwAEcwAEcwAEcoGYk20SiMCHlmVoCzACoojEqjHBmCeJOCOo1lgPA7Q8E8TvdjMmHuzsV3NFD4w+1t+Ai/gTx3qHuOFqdMQB8ASMwJX0IEHOeAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-range {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-polygon-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-redo {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-reset {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-save {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4UexUIzAAAAIRJREFUWMNjXLhs5X+GAQRMDAMMWJDYjGhyf7CoIQf8x2H+f0KGM9M7BBio5FNcITo408CoA0YdQM1cwEhtB/ylgqMkCJmFLwrOQguj/xTg50hmkeyARAYGhlNUCIXjDAwM0eREwTUGBgbz0Ww46oBRB4w6YNQBow4YdcCIahP+H5EhAAAH2R8hH3Rg0QAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-tap-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-undo {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4em8Dh0gAAAatJREFUWMPt1rFrFFEQBvDfGhACASshkL/ALpWVrSAKEQV5sIULWlgZNSgIFkGIVQ412gkBt1lYLERREFJqJRaW1oHAoZUQsDqwecWy7N3tbe6C4H2wxc682Zn3zTfvLXPM8b8j6RqYF+UCzsfnHBawGt3fMcAX7GEvS8NgKgXkRbmMxwg41TLsN0psZmnodyogL8pFPMIdLHUk7hA7eJKl4U/rAuKu3+HslFr/FZezNPSTFslX8QErDe4DvMVH/Iq9F7VwGpdwZUjsPtaSFjv/1vCBPjaxO0xcNbHejLpZrrlvJCMCT+JzA+2fcC1Lw+GE4l3CG1yIptfjCtiKoqtiJ0vD3aM0Py/K57iIMxgkQxat4EdN7e9xdRzlk+LEEPvDWvIDXJ928sYxjL36icWK+VaWhlezOIqbGFirJd/H7szugrwoX+D2BDEvszSsT5OBdfRaru/F9dPXQF6U27g/KnmWhgctxqyzBrZGMNGL/rHI0nDkKXiKexXTsywNGx0OnFbFNk3BRoWJXnw//j+ivCi32/S8CxPVNiWOAdUiJtXITIqYY45/Cn8B2D97FYW2H+IAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-wheel-pan {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-wheel-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-edit {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4QfHjM1QAAAGRJREFUWMNjXLhsJcNAAiaGAQYsDAwM/+lsJ+OgCwGsLqMB+D8o08CoA0YdMOqAUQewDFQdMBoFIyoN/B/U7YFRB7DQIc7xyo9GwbBMA4xDqhxgISH1klXbDYk0QOseEeOgDgEAIS0JQleje6IAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-freehand-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-point-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-edit {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-line-edit {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAG/3pUWHRSYXcgcHJvZmlsZSB0eXBlIGV4aWYAAHjarVdpknSpDfzPKXwEJBDLccQW4Rv4+E4BtXR198znCdeLLijgQUoppWg3//Pv5f6FDwefXJRcUk3J4xNrrKzoFH8+pyUf9/f+8J3C7y/j7jnBGApow/mZ5l2vGJfXCzne8fZ13OV+9yl3ozvx2DDYyXbauCDvRoHPON3frl5Imt7MuX8hH0seiz9/xwxnDMFgYMczUPD7m89J4fwp/iK+OVRbiMf6gm8K4bv/3NN1Pzjw2fvwn+93PLzccTZ6mJU+/HTHSX723/bSOyLi58n8jmiqz/798+a/tUZZax7rNCKOakzXqIcpu4eFDe483kh4Mv4E/byfiqd49R2OHzC1Od/woxLD44siDVJaNHfbqQNi5MkZLXPnsMdKyFy5gwwCHXhocXahhhEK+OhgLmCYn1hon1vtPBxWcPIgrGTCZrR5fHvc58A/fb5stJaFOZEvT18BF1t8AYYxZ99YBUJoXZ/K9i+50/jPjxEbwKBsNxcYqL6dLZrQK7bC5jl4cVga/Ql5yuNuABfhbAEYCmDAJwpCiXxmzkTwYwE/CuQcIjcwQOKEB1ByDCGBnMJ2Nt7JtNey8BmGvIAICSlkUFODgqwYJSbkW0EIqZMgUUSSZClSRVNIMUlKKSfTKc0hxyw55ZxLrllLKLFISSWXUmrRyjVAxsTVVHMttVZVHKpRsZdivWKgcQstNmmp5VZabdoRPj126annXnrtOniEAQlwI408yqhDJ02E0oxTZpp5llmnLsTaCisuWWnlVVZd+mTtsvqVtU/m/po1uqzxJsrW5RdrGM75sQWZnIhxBsY4EhjPxgACmo0zXyhGNuaMM185uBCEgVKMnEHGGBiMk1gWPbl7Mfcrbw7e/V9545+Yc0bd/4M5Z9S9Mfedtx9YG7rlNmyCLAvhUyhkQPrNhvO5AJFnrZIR0plaLL5liQYdDi5TubaIokFDkmoFEB8CzxZVxemssDqthPhUblPgW1iQU5g6XwNwyVI7bUFRm035iNziMkgWvEso2SXnsJfveR0Y4SlVF8YWC1pVQhJiQa8JwDvlMNIxAfq3F7GDObHU1LlhzlZaWwNp6BvACxAgInGXlllMGZCpEnZHrGA6GM2718xuFcz7YdUQxzEEfjdWz4GlkcwaonT0pgA6mB25grPILtnSMhuCpsGhmMU6uJbixJs4lbKHqh+wos1jW2rchyGRCIvN9MXu+KAmMSfAlIKVvi/tybhCPJZCu2Ow9pLdyo427+X2ovMBmKNu8PA0zgl3fS0PB1DWWkVYB47bkyiJHhkFPzTzCjzn4Dq1mqoIWzCmcDGsHQmQAQdEHsixK1IXESd5rLU7THVJNV8obHS8sZeN0G5Jdt5pQTVKCCbgK1hItTS8o92iEZpuWJ/oC2r/0+zTmhvFXoaMVKRe27altDtid6OvG1hENVwBnC61KKugNoemOiPCCNb3GoHAZOFuDxxPsD+07nbSPcr/o1Zmc4jARhotrA5F5ZcjP9rPk90vR8A+k028A+8+5wKlHVID542sMzMCuXktkRzUCpE+xCBZywjNcJITx0II9x5948CekBl4XaC5OCX2nCyObdwN3HwQh5DWL/BBEkhDYHn/vpXNgZkVTZs8rj+HO8JFC6qvDVhgAEQSYCDyC86rMhG1WPzAVB9ZldDWG6EzDcFiqJBDvFS8mXDv3SK2LPoguVB2kwUx7UL5KqZWiEzocsbvSjNnaYDNtcYJuA5cDcsrvHd6yCxGjqvl9+wh3Qh8Kc9py8sNW8ncU8qwxdPj1qIGfrPqlXeoS4/JLa/LwRLTCtxuSoZUT+2Su6kXW3QNacYQbId6NUKVbROpviybFSPQQL9lhB2MamEnFyB9Y+hrG1+xBg+L0QG2TZdTdlcsBdq9oHdt9Bu5/IM9+Nfh1AwrSqlboTA6Bgq568A7UfbaMrZjoQZhQphofvNw93+bN+5X7FYKBgLmRid+tSdV6c02A4R0cHwKobmoMt5+6WI9XNISFIywpf6RMd5/a91vE78FzVHIFmxud4woyJx76OMTCa4yhgN3iJO2VfRPFMv9sYTxFzU+1eWeYS52pwOoSJldZY6koib4P1O427rbeUrNZfu44hWjz5ZSuu/vKPpimoXbLkfxWSPetvxDWG5jQSaZCxA3ad+p6rlttDhK+YwwK1LHVe0drDtorc5vnQ1247g58vewDtU7L3DRwrG4dhCUDRKKOtYr2dXHtpt+33d1WZmfkAHdl7Q8ENF+CNgB+nOw29n5F7SeNo/ckbu4laLTCdqJLHjmhJbKzmrCEX7zULrhefuHmu0V/1nbP1pnb6FaT7sOxn4pvWkfrYhYtCeJ4Xv+kOXrroIs1eHWXN1/AfzaY94ms5vaAAABg2lDQ1BJQ0MgcHJvZmlsZQAAeJx9kT1Iw0AcxV/TSkUqDnYQUchQnSyIijhqFYpQIdQKrTqYXPoFTRqSFBdHwbXg4Mdi1cHFWVcHV0EQ/ABxcnRSdJES/5cUWsR4cNyPd/ced+8AoVFhmhUaBzTdNtPJhJjNrYrhV4QwjAgGIMrMMuYkKQXf8XWPAF/v4jzL/9yfo1fNWwwIiMSzzDBt4g3i6U3b4LxPHGUlWSU+Jx4z6YLEj1xXPH7jXHRZ4JlRM5OeJ44Si8UOVjqYlUyNeIo4pmo65QtZj1XOW5y1So217slfGMnrK8tcpzmEJBaxBAkiFNRQRgU24rTqpFhI037Cxz/o+iVyKeQqg5FjAVVokF0/+B/87tYqTE54SZEE0PXiOB8jQHgXaNYd5/vYcZonQPAZuNLb/moDmPkkvd7WYkdA3zZwcd3WlD3gcgcYeDJkU3alIE2hUADez+ibckD/LdCz5vXW2sfpA5ChrlI3wMEhMFqk7HWfd3d39vbvmVZ/P2aecqIM1FFZAAAABmJLR0QAAAAAAAD5Q7t/AAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AQdDBkQmV+argAABM5JREFUWMOtl9trHFUcxz9n9jYzm7Tb9JIWGtqUllLwVgRBQWl90S6lTaGmF6E2/4H+A4r+A0offdlWodL4kEZw9bG+iC9iKqLF0os0EBq02dtcdmdnfj7szGZ2M5vulv5g4JwzZ873+7ufUfMLi0RSa1TZNzVFrW511xBhzMxx79EyOwrbGSSzZ073zOcXFnlv5lTi3mvfzAPwwYVZ0tHiq6+/xu+/LlGtWYgEINL9oG657N41yfSRgxw9cHjDgfMLi8QVsR0X23E3gMXnkXQJ3L9zB99vI4EA0sVXqsPF93xW7y73ACVJBJwE1j8HUBIi3Sz/QNtrIzHN+yWdSdNue915IMKWXI4TJ050Adp+U+2bmkrV6tZeYAXwEJExMyf3Hi0rM5fvAvS4wPdBKRW6vZeEUiq0RIBCddddpymu0+rRbPvEzkPVmmWLBA1EdGAbYNctt7V712QwfeSgd/uXJQnPVVoEEAQBTxXpuEMELNtNNFW1WrsrQdBCRImQEeE/wBUh53v+7tW7y5n1+BZRIoJSioXvy3itdgclURSZTBrP87AdV57G1TT0d4GPgC+Bw8Ca7bifATsTgzBvjlH1qgNdICJM7tjB8soKw4jtuD+Gw3c229e1wF+P/uHPpT86rhBBRHActwAcAl4EjgIvAYcFJnlOoq5dv6EBU8AR4OUQ6AVgGjATwuC5YUdZ4A+z+1mBTUM/AKwqpZSIpPfu2VP7+/6DYEMMPE9N83lzq23ZWwxDd4GaQnmgUloqperSCpKC8HGCXz8G7NANU8CWUKPzsUDbyLPVyjYC39e0VMZx3Ccoha4b4lQqbUlnsBqNWCXpEMgKfA38DNSBcdPQr4zlMtTtFiqlulmQmJv9ks2idUZGZMjZmZMAfBUvxWHR0y5dmPV2FcbPG9ncFdPQS3nTuAJQLBZpBS1qjSqFwjipdGr9SWlsHTewm9ZmnngMKAaV9nBd+/bmdxSLRc6dnemm3+yZ06pcLvPGW2+yfWIn1ZpFEAQEvt95goCV1TXMXH4zAt4woaRF7RTAVylAUS6Xpdpsdjvk2VMnsSyHhuVEZTh+xgywBhwLfZIdKRfj7dWqPGFubq7T428ukslkaHttLNsZ9P3nwIfh+DhwS4EO9DA0zByBCE2n1fPxpQuznSCaX1js9nFp2pjbtqGhobQ0jUY9CbgALERah3IM+El1rNqTaqaph5W1uYGAFrfA5YvnyE9MoFBYtjMI/BXgQR/4pqVDZL3V9/cYrX+x7SnsXh/H5TLwW2iBQbVLNgn65CDsrSPOIJOXwmdQ4fRHrZilUqmXwNXrNzbbfxv4ArgFVBLeJ95oDEMHwHHcvvUcRqEwuBf0SSUEB9gfxsAgAkO1kcj/WvwKPaR8EhvPAUvRtdIMtR1FtBH37w8DEeChaehXw/xfAnzHcVOjEkhHrIe0Qlz7T8PuWLEd9+2w9KphgUUgQJ7JAgAPDT13NTrJyOYqIilrlEwQv/NPMTSByxfPIU37eCqtq2zWmPYDjbavaLYVdn2NuffPjqRJK2hRLBaHzoK+X7L1QE+nIFeYoFQqkTVMaTn2UOe1LWtwEJqGzqgRnS9M4Fb+3XBJGfSrFzW9dBw0icioJBzHzUXdMJM18APwWo6Kmy1O6X+V8UHDotBqogAAAABJRU5ErkJggg==\");\\n}\\n'},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n", - " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n", - " function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n", - " function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n", - " function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n", - " function _(e,t,n){\n", - " /*!\n", - " * jQuery Mousewheel 3.1.13\n", - " *\n", - " * Copyright jQuery Foundation and other contributors\n", - " * Released under the MIT license\n", - " * http://jquery.org/license\n", - " */\n", - " function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n", - " function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", - " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n", - " function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;ethis.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);ti&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n color: black;\\n}\\n\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n", - " function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n", - " function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n", - " function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n", - " function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;ethis._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n", - " function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(st.end)&&(this.v_axis_only=!0),(ne.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(en.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.startnew m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n", - " function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return athis._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n", - " function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under `);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n", - " function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n", - " function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);var r=this&&this.__asyncValues||function(e){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var o,t=e[Symbol.asyncIterator];return t?t.call(e):(e=\"function\"==typeof __values?__values(e):e[Symbol.iterator](),o={},n(\"next\"),n(\"throw\"),n(\"return\"),o[Symbol.asyncIterator]=function(){return this},o);function n(t){o[t]=e[t]&&function(o){return new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(363),l=e(72),a=e(68),c=e(17),u=e(358),f=e(359),g=n.__importDefault(e(69)),m=n.__importDefault(e(289)),d=n.__importDefault(e(366));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,t=>{l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=new i.Receiver;t.onMsg=p.bind(o,n)})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(\"undefined\"!=typeof google&&null!=google.colab.kernel){l.logger.info(\"Registering Google Colab comms for target \"+e);const t=google.colab.kernel.comms;try{t.registerTarget(e,async t=>{var n,s,a;l.logger.info(\"Registering Google Colab comms for target \"+e);const c=new i.Receiver;try{for(var u,f=r(t.messages);!(u=await f.next()).done;){const e=u.value,t={data:e.data},n=[];for(const o of null!==(a=e.buffers)&&void 0!==a?a:[])n.push(new DataView(o));const r={content:t,buffers:n};p.bind(o)(c,r)}}catch(e){n={error:e}}finally{try{u&&!u.done&&(s=f.return)&&await s.call(f)}finally{if(n)throw n.error}}})}catch(e){l.logger.warn(`Google Colab comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}a.stylesheet.append(g.default),a.stylesheet.append(m.default),a.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=c.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=s.Document.from_json(c.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&_(e.notebook_comms_target,t);const o=f._resolve_element(e),n=f._resolve_root_elements(e);u.add_document_standalone(t,o,n)}}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n/* notebook specific tweaks so no black outline and matching padding\\n/* can't be wrapped inside bk-root. here are the offending jupyter lines:\\n/* https://github.com/jupyter/notebook/blob/master/notebook/static/notebook/less/renderedhtml.less#L59-L76 */\\n.rendered_html .bk-root .bk-tooltip table,\\n.rendered_html .bk-root .bk-tooltip tr,\\n.rendered_html .bk-root .bk-tooltip th,\\n.rendered_html .bk-root .bk-tooltip td {\\n border: none;\\n padding: 1px;\\n}\\n\"},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(362),_),o.__exportStar(e(363),_)},\n", - " function _(e,t,n){function s(){const e=document.getElementsByTagName(\"body\")[0],t=document.getElementsByClassName(\"bokeh-test-div\");1==t.length&&(e.removeChild(t[0]),delete t[0]);const n=document.createElement(\"div\");n.classList.add(\"bokeh-test-div\"),n.style.display=\"none\",e.insertBefore(n,e.firstChild)}Object.defineProperty(n,\"__esModule\",{value:!0}),n.results={},n.init=function(){s()},n.record0=function(e,t){n.results[e]=t},n.record=function(e,t){n.results[e]=t,s()},n.count=function(e){null==n.results[e]&&(n.results[e]=0),n.results[e]+=1,s()}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.safely=function(e,t=!1){try{return e()}catch(e){if(function(e){const t=document.createElement(\"div\");t.style.backgroundColor=\"#f2dede\",t.style.border=\"1px solid #a94442\",t.style.borderRadius=\"4px\",t.style.display=\"inline-block\",t.style.fontFamily=\"sans-serif\",t.style.marginTop=\"5px\",t.style.minWidth=\"200px\",t.style.padding=\"5px 5px 5px 10px\",t.classList.add(\"bokeh-error-box-into-flames\");const o=document.createElement(\"span\");o.style.backgroundColor=\"#a94442\",o.style.borderRadius=\"0px 4px 0px 0px\",o.style.color=\"white\",o.style.cursor=\"pointer\",o.style.cssFloat=\"right\",o.style.fontSize=\"0.8em\",o.style.margin=\"-6px -6px 0px 0px\",o.style.padding=\"2px 5px 4px 5px\",o.title=\"close\",o.setAttribute(\"aria-label\",\"close\"),o.appendChild(document.createTextNode(\"x\")),o.addEventListener(\"click\",()=>r.removeChild(t));const n=document.createElement(\"h3\");n.style.color=\"#a94442\",n.style.margin=\"8px 0px 0px 0px\",n.style.padding=\"0px\",n.appendChild(document.createTextNode(\"Bokeh Error\"));const l=document.createElement(\"pre\");l.style.whiteSpace=\"unset\",l.style.overflowX=\"auto\";const s=e instanceof Error?e.message:e;l.appendChild(document.createTextNode(s)),t.appendChild(o),t.appendChild(n),t.appendChild(l);const r=document.getElementsByTagName(\"body\")[0];r.insertBefore(t,r.firstChild)}(e),t)return;throw e}}},\n", - " ], 0, {\"main\":0,\"tslib\":1,\"index\":2,\"version\":3,\"embed/index\":4,\"document/index\":5,\"document/document\":6,\"base\":7,\"core/util/types\":8,\"core/util/array\":9,\"core/util/math\":10,\"core/util/assert\":11,\"core/util/arrayable\":12,\"core/has_props\":13,\"core/signaling\":14,\"core/util/callback\":15,\"core/util/refs\":16,\"core/util/object\":17,\"core/properties\":18,\"core/enums\":19,\"core/util/color\":20,\"core/util/svg_colors\":21,\"core/settings\":22,\"core/property_mixins\":23,\"core/util/string\":24,\"core/util/eq\":25,\"core/util/ndarray\":26,\"core/util/serialization\":27,\"core/util/compat\":28,\"models/index\":29,\"models/annotations/index\":30,\"models/annotations/annotation\":31,\"core/util/projections\":32,\"models/renderers/renderer\":65,\"core/dom_view\":66,\"core/view\":67,\"core/dom\":68,\"styles/root.css\":69,\"core/visuals\":70,\"model\":71,\"core/logging\":72,\"styles/annotations.css\":73,\"models/annotations/arrow\":74,\"models/annotations/arrow_head\":75,\"models/sources/column_data_source\":76,\"models/sources/columnar_data_source\":77,\"models/sources/data_source\":78,\"models/selections/selection\":79,\"core/selection_manager\":80,\"models/renderers/glyph_renderer\":81,\"models/renderers/data_renderer\":82,\"models/glyphs/line\":83,\"models/glyphs/xy_glyph\":84,\"core/util/spatial\":85,\"core/util/bbox\":88,\"models/glyphs/glyph\":89,\"models/ranges/factor_range\":90,\"models/ranges/range\":91,\"models/glyphs/utils\":92,\"core/hittest\":93,\"models/glyphs/patch\":94,\"models/glyphs/harea\":95,\"models/glyphs/area\":96,\"models/glyphs/varea\":97,\"models/sources/cds_view\":98,\"core/build_views\":99,\"models/renderers/graph_renderer\":100,\"models/graphs/graph_hit_test_policy\":101,\"models/selections/interaction_policy\":102,\"core/util/typed_array\":103,\"core/util/set\":104,\"document/events\":105,\"models/annotations/band\":106,\"models/annotations/box_annotation\":107,\"models/annotations/color_bar\":108,\"models/tickers/basic_ticker\":109,\"models/tickers/adaptive_ticker\":110,\"models/tickers/continuous_ticker\":111,\"models/tickers/ticker\":112,\"models/formatters/basic_tick_formatter\":113,\"models/formatters/tick_formatter\":114,\"models/mappers/linear_color_mapper\":115,\"models/mappers/continuous_color_mapper\":116,\"models/mappers/color_mapper\":117,\"models/mappers/mapper\":118,\"models/transforms/transform\":119,\"models/scales/linear_scale\":120,\"models/scales/continuous_scale\":121,\"models/scales/scale\":122,\"models/transforms/index\":123,\"models/transforms/customjs_transform\":124,\"models/transforms/dodge\":125,\"models/transforms/interpolator\":126,\"models/transforms/jitter\":127,\"models/transforms/linear_interpolator\":128,\"models/transforms/step_interpolator\":129,\"models/scales/log_scale\":130,\"models/ranges/range1d\":131,\"core/util/text\":132,\"models/annotations/label\":133,\"models/annotations/text_annotation\":134,\"models/annotations/label_set\":135,\"models/annotations/legend\":136,\"models/annotations/legend_item\":137,\"core/vectorization\":138,\"models/annotations/poly_annotation\":139,\"models/annotations/slope\":140,\"models/annotations/span\":141,\"models/annotations/title\":142,\"models/annotations/toolbar_panel\":143,\"models/annotations/tooltip\":144,\"styles/tooltips\":145,\"styles/mixins\":146,\"styles/tooltips.css\":147,\"models/annotations/whisker\":148,\"models/axes/index\":149,\"models/axes/axis\":150,\"models/renderers/guide_renderer\":151,\"models/axes/categorical_axis\":152,\"models/tickers/categorical_ticker\":153,\"models/formatters/categorical_tick_formatter\":154,\"models/axes/continuous_axis\":155,\"models/axes/datetime_axis\":156,\"models/axes/linear_axis\":157,\"models/formatters/datetime_tick_formatter\":158,\"core/util/templating\":160,\"models/tickers/datetime_ticker\":163,\"models/tickers/composite_ticker\":164,\"models/tickers/days_ticker\":165,\"models/tickers/single_interval_ticker\":166,\"models/tickers/util\":167,\"models/tickers/months_ticker\":168,\"models/tickers/years_ticker\":169,\"models/axes/log_axis\":170,\"models/formatters/log_tick_formatter\":171,\"models/tickers/log_ticker\":172,\"models/axes/mercator_axis\":173,\"models/formatters/mercator_tick_formatter\":174,\"models/tickers/mercator_ticker\":175,\"models/callbacks/index\":176,\"models/callbacks/customjs\":177,\"models/callbacks/callback\":178,\"models/callbacks/open_url\":179,\"models/canvas/index\":180,\"models/canvas/canvas\":181,\"core/util/canvas\":182,\"core/util/svg\":183,\"models/canvas/cartesian_frame\":184,\"models/scales/categorical_scale\":185,\"models/ranges/data_range1d\":186,\"models/ranges/data_range\":187,\"core/layout/index\":188,\"core/layout/types\":189,\"core/layout/layoutable\":190,\"core/layout/alignments\":191,\"core/layout/grid\":192,\"core/layout/html\":193,\"models/expressions/index\":194,\"models/expressions/expression\":195,\"models/expressions/stack\":196,\"models/expressions/cumsum\":197,\"models/filters/index\":198,\"models/filters/boolean_filter\":199,\"models/filters/filter\":200,\"models/filters/customjs_filter\":201,\"models/filters/group_filter\":202,\"models/filters/index_filter\":203,\"models/formatters/index\":204,\"models/formatters/func_tick_formatter\":205,\"models/formatters/numeral_tick_formatter\":206,\"models/formatters/printf_tick_formatter\":207,\"models/glyphs/index\":208,\"models/glyphs/annular_wedge\":209,\"models/glyphs/annulus\":210,\"models/glyphs/arc\":211,\"models/glyphs/bezier\":212,\"models/glyphs/circle\":213,\"models/glyphs/center_rotatable\":214,\"models/glyphs/ellipse\":215,\"models/glyphs/ellipse_oval\":216,\"models/glyphs/hbar\":217,\"models/glyphs/box\":218,\"models/glyphs/hex_tile\":219,\"models/glyphs/image\":220,\"models/glyphs/image_base\":221,\"models/glyphs/image_rgba\":222,\"models/glyphs/image_url\":223,\"core/util/image\":224,\"models/glyphs/multi_line\":225,\"models/glyphs/multi_polygons\":226,\"models/glyphs/oval\":227,\"models/glyphs/patches\":228,\"models/glyphs/quad\":229,\"models/glyphs/quadratic\":230,\"models/glyphs/ray\":231,\"models/glyphs/rect\":232,\"models/glyphs/segment\":233,\"models/glyphs/step\":234,\"models/glyphs/text\":235,\"models/glyphs/vbar\":236,\"models/glyphs/wedge\":237,\"models/graphs/index\":238,\"models/graphs/layout_provider\":239,\"models/graphs/static_layout_provider\":240,\"models/grids/index\":241,\"models/grids/grid\":242,\"models/layouts/index\":243,\"models/layouts/box\":244,\"models/layouts/layout_dom\":245,\"styles/root\":246,\"models/layouts/column\":247,\"models/layouts/grid_box\":248,\"models/layouts/html_box\":249,\"models/layouts/row\":250,\"models/layouts/spacer\":251,\"models/layouts/tabs\":252,\"styles/tabs\":253,\"styles/buttons\":254,\"styles/menus\":255,\"styles/buttons.css\":256,\"styles/menus.css\":257,\"styles/tabs.css\":258,\"models/layouts/widget_box\":259,\"models/mappers/index\":260,\"models/mappers/categorical_color_mapper\":261,\"models/mappers/categorical_mapper\":262,\"models/mappers/categorical_marker_mapper\":263,\"models/mappers/categorical_pattern_mapper\":264,\"models/mappers/log_color_mapper\":265,\"models/markers/index\":266,\"models/markers/defs\":267,\"models/markers/marker\":268,\"models/markers/scatter\":269,\"models/plots/index\":270,\"models/plots/gmap_plot\":271,\"models/plots/plot\":272,\"models/tools/toolbar\":273,\"models/tools/inspectors/inspect_tool\":274,\"models/tools/button_tool\":275,\"models/tools/tool\":277,\"styles/toolbar\":278,\"styles/toolbar.css\":279,\"styles/icons.css\":280,\"core/util/menus\":281,\"models/tools/on_off_button\":282,\"models/tools/toolbar_base\":283,\"models/tools/gestures/gesture_tool\":284,\"models/tools/actions/action_tool\":285,\"models/tools/actions/help_tool\":286,\"styles/icons\":287,\"styles/logo\":288,\"styles/logo.css\":289,\"models/plots/plot_canvas\":290,\"core/bokeh_events\":291,\"core/ui_events\":292,\"core/util/wheel\":293,\"core/util/throttle\":294,\"core/layout/side_panel\":295,\"models/plots/gmap_plot_canvas\":296,\"models/ranges/index\":297,\"models/renderers/index\":298,\"models/scales/index\":299,\"models/selections/index\":300,\"models/sources/index\":301,\"models/sources/server_sent_data_source\":302,\"models/sources/web_data_source\":303,\"models/sources/ajax_data_source\":304,\"models/sources/geojson_data_source\":305,\"models/tickers/index\":306,\"models/tickers/fixed_ticker\":307,\"models/tiles/index\":308,\"models/tiles/bbox_tile_source\":309,\"models/tiles/mercator_tile_source\":310,\"models/tiles/tile_source\":311,\"models/tiles/tile_utils\":312,\"models/tiles/quadkey_tile_source\":313,\"models/tiles/tile_renderer\":314,\"models/tiles/wmts_tile_source\":315,\"styles/tiles\":316,\"styles/tiles.css\":317,\"models/tiles/tms_tile_source\":318,\"models/textures/index\":319,\"models/textures/canvas_texture\":320,\"models/textures/texture\":321,\"models/textures/image_url_texture\":322,\"models/tools/index\":323,\"models/tools/actions/custom_action\":324,\"models/tools/actions/redo_tool\":325,\"models/tools/actions/reset_tool\":326,\"models/tools/actions/save_tool\":327,\"models/tools/actions/undo_tool\":328,\"models/tools/actions/zoom_in_tool\":329,\"core/util/zoom\":330,\"models/tools/actions/zoom_out_tool\":331,\"models/tools/edit/edit_tool\":332,\"models/tools/edit/box_edit_tool\":333,\"models/tools/edit/freehand_draw_tool\":334,\"models/tools/edit/point_draw_tool\":335,\"models/tools/edit/poly_draw_tool\":336,\"models/tools/edit/poly_tool\":337,\"models/tools/edit/poly_edit_tool\":338,\"models/tools/gestures/box_select_tool\":339,\"models/tools/gestures/select_tool\":340,\"models/tools/util\":341,\"models/tools/gestures/box_zoom_tool\":342,\"models/tools/gestures/lasso_select_tool\":343,\"models/tools/edit/line_edit_tool\":344,\"models/tools/edit/line_tool\":345,\"models/tools/gestures/pan_tool\":346,\"models/tools/gestures/poly_select_tool\":347,\"models/tools/gestures/range_tool\":348,\"models/tools/gestures/tap_tool\":349,\"models/tools/gestures/wheel_pan_tool\":350,\"models/tools/gestures/wheel_zoom_tool\":351,\"models/tools/inspectors/crosshair_tool\":352,\"models/tools/inspectors/customjs_hover\":353,\"models/tools/inspectors/hover_tool\":354,\"models/tools/tool_proxy\":355,\"core/util/iterator\":356,\"models/tools/toolbar_box\":357,\"embed/standalone\":358,\"embed/dom\":359,\"embed/server\":360,\"client/connection\":361,\"protocol/message\":362,\"protocol/receiver\":363,\"client/session\":364,\"embed/notebook\":365,\"styles/notebook.css\":366,\"protocol/index\":367,\"testing\":368,\"safely\":369}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-widgets.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.1.1\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n", - " 391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n", - " 392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n", - " 393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n", - " 458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n", - " 395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n", - " 396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n", - " 397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n", - " 398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", - " 399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n display: inline-block;\\n width: 100%;\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n min-height: 31px;\\n padding: 0 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n border-color: #66afe9;\\n outline: 0;\\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n color: #999;\\n opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n cursor: not-allowed;\\n background-color: #eee;\\n opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n height: auto;\\n appearance: none;\\n -webkit-appearance: none;\\n background-image: url(\\'data:image/svg+xml;utf8,\\');\\n background-position: right 0.5em center;\\n background-size: 8px 6px;\\n background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n height: auto;\\n}\\n.bk-root .bk-input-group {\\n width: 100%;\\n height: 100%;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: start;\\n -webkit-align-items: start;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'},\n", - " 400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n", - " 401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n", - " 402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n", - " 403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n", - " 404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", - " 405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n", - " 406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n", - " 407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n", - " 408: function _(e,t,n){\n", - " /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},a={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var t=e%100;if(t>3&&t<21)return\"th\";switch(t%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},i=function(e){return(\"0\"+e).slice(-2)},o=function(e){return!0===e?1:0};function r(e,t,n){var a;return void 0===n&&(n=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,n||e.apply(i,o)}),t),n&&!a&&e.apply(i,o)}}var l=function(e){return e instanceof Array?e:[e]};function c(e,t,n){if(!0===n)return e.classList.add(t);e.classList.remove(t)}function d(e,t,n){var a=window.document.createElement(e);return t=t||\"\",n=n||\"\",a.className=t,void 0!==n&&(a.textContent=n),a}function s(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function u(e,t){var n=d(\"div\",\"numInputWrapper\"),a=d(\"input\",\"numInput \"+e),i=d(\"span\",\"arrowUp\"),o=d(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 9.0\")?a.type=\"number\":(a.type=\"text\",a.pattern=\"\\\\d*\"),void 0!==t)for(var r in t)a.setAttribute(r,t[r]);return n.appendChild(a),n.appendChild(i),n.appendChild(o),n}var f=function(){},m=function(e,t,n){return n.months[t?\"shorthand\":\"longhand\"][e]},g={D:f,F:function(e,t,n){e.setMonth(n.months.longhand.indexOf(t))},G:function(e,t){e.setHours(parseFloat(t))},H:function(e,t){e.setHours(parseFloat(t))},J:function(e,t){e.setDate(parseFloat(t))},K:function(e,t,n){e.setHours(e.getHours()%12+12*o(new RegExp(n.amPM[1],\"i\").test(t)))},M:function(e,t,n){e.setMonth(n.months.shorthand.indexOf(t))},S:function(e,t){e.setSeconds(parseFloat(t))},U:function(e,t){return new Date(1e3*parseFloat(t))},W:function(e,t,n){var a=parseInt(t),i=new Date(e.getFullYear(),0,2+7*(a-1),0,0,0,0);return i.setDate(i.getDate()-i.getDay()+n.firstDayOfWeek),i},Y:function(e,t){e.setFullYear(parseFloat(t))},Z:function(e,t){return new Date(t)},d:function(e,t){e.setDate(parseFloat(t))},h:function(e,t){e.setHours(parseFloat(t))},i:function(e,t){e.setMinutes(parseFloat(t))},j:function(e,t){e.setDate(parseFloat(t))},l:f,m:function(e,t){e.setMonth(parseFloat(t)-1)},n:function(e,t){e.setMonth(parseFloat(t)-1)},s:function(e,t){e.setSeconds(parseFloat(t))},u:function(e,t){return new Date(parseFloat(t))},w:f,y:function(e,t){e.setFullYear(2e3+parseFloat(t))}},p={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},h={Z:function(e){return e.toISOString()},D:function(e,t,n){return t.weekdays.shorthand[h.w(e,t,n)]},F:function(e,t,n){return m(h.n(e,t,n)-1,!1,t)},G:function(e,t,n){return i(h.h(e,t,n))},H:function(e){return i(e.getHours())},J:function(e,t){return void 0!==t.ordinal?e.getDate()+t.ordinal(e.getDate()):e.getDate()},K:function(e,t){return t.amPM[o(e.getHours()>11)]},M:function(e,t){return m(e.getMonth(),!0,t)},S:function(e){return i(e.getSeconds())},U:function(e){return e.getTime()/1e3},W:function(e,t,n){return n.getWeek(e)},Y:function(e){return e.getFullYear()},d:function(e){return i(e.getDate())},h:function(e){return e.getHours()%12?e.getHours()%12:12},i:function(e){return i(e.getMinutes())},j:function(e){return e.getDate()},l:function(e,t){return t.weekdays.longhand[e.getDay()]},m:function(e){return i(e.getMonth()+1)},n:function(e){return e.getMonth()+1},s:function(e){return e.getSeconds()},u:function(e){return e.getTime()},w:function(e){return e.getDay()},y:function(e){return String(e.getFullYear()).substring(2)}},v=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,n){var a=n||r;return void 0!==i.formatDate?i.formatDate(e,t,a):t.split(\"\").map((function(t,n,o){return h[t]&&\"\\\\\"!==o[n-1]?h[t](e,a,i):\"\\\\\"!==t?t:\"\"})).join(\"\")}},D=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,a,o){if(0===e||e){var l,c=o||r,d=e;if(e instanceof Date)l=new Date(e.getTime());else if(\"string\"!=typeof e&&void 0!==e.toFixed)l=new Date(e);else if(\"string\"==typeof e){var s=t||(i||n).dateFormat,u=String(e).trim();if(\"today\"===u)l=new Date,a=!0;else if(/Z$/.test(u)||/GMT$/.test(u))l=new Date(e);else if(i&&i.parseDate)l=i.parseDate(e,s);else{l=i&&i.noCalendar?new Date((new Date).setHours(0,0,0,0)):new Date((new Date).getFullYear(),0,1,0,0,0,0);for(var f=void 0,m=[],h=0,v=0,D=\"\";hr&&(s=n===h.hourElement?s-r-o(!h.amPM):a,f&&Y(void 0,1,h.hourElement)),h.amPM&&u&&(1===l?s+c===23:Math.abs(s-c)>l)&&(h.amPM.textContent=h.l10n.amPM[o(h.amPM.textContent===h.l10n.amPM[0])]),n.value=i(s)}}(e);var t=h._input.value;E(),ve(),h._input.value!==t&&h._debouncedChange()}function E(){if(void 0!==h.hourElement&&void 0!==h.minuteElement){var e,t,n=(parseInt(h.hourElement.value.slice(-2),10)||0)%24,a=(parseInt(h.minuteElement.value,10)||0)%60,i=void 0!==h.secondElement?(parseInt(h.secondElement.value,10)||0)%60:0;void 0!==h.amPM&&(e=n,t=h.amPM.textContent,n=e%12+12*o(t===h.l10n.amPM[1]));var r=void 0!==h.config.minTime||h.config.minDate&&h.minDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.minDate,!0);if(void 0!==h.config.maxTime||h.config.maxDate&&h.maxDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.maxDate,!0)){var l=void 0!==h.config.maxTime?h.config.maxTime:h.config.maxDate;(n=Math.min(n,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(r){var c=void 0!==h.config.minTime?h.config.minTime:h.config.minDate;(n=Math.max(n,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}I(n,a,i)}}function T(e){var t=e||h.latestSelectedDateObj;t&&I(t.getHours(),t.getMinutes(),t.getSeconds())}function k(){var e=h.config.defaultHour,t=h.config.defaultMinute,n=h.config.defaultSeconds;if(void 0!==h.config.minDate){var a=h.config.minDate.getHours(),i=h.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(t=Math.max(i,t)),e===a&&t===i&&(n=h.config.minDate.getSeconds())}if(void 0!==h.config.maxDate){var o=h.config.maxDate.getHours(),r=h.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(t=Math.min(r,t)),e===o&&t===r&&(n=h.config.maxDate.getSeconds())}I(e,t,n)}function I(e,t,n){void 0!==h.latestSelectedDateObj&&h.latestSelectedDateObj.setHours(e%24,t,n||0,0),h.hourElement&&h.minuteElement&&!h.isMobile&&(h.hourElement.value=i(h.config.time_24hr?e:(12+e)%12+12*o(e%12==0)),h.minuteElement.value=i(t),void 0!==h.amPM&&(h.amPM.textContent=h.l10n.amPM[o(e>=12)]),void 0!==h.secondElement&&(h.secondElement.value=i(n)))}function S(e){var t=parseInt(e.target.value)+(e.delta||0);(t/1e3>1||\"Enter\"===e.key&&!/[^\\d]/.test(t.toString()))&&V(t)}function O(e,t,n,a){return t instanceof Array?t.forEach((function(t){return O(e,t,n,a)})):e instanceof Array?e.forEach((function(e){return O(e,t,n,a)})):(e.addEventListener(t,n,a),void h._handlers.push({element:e,event:t,handler:n,options:a}))}function _(e){return function(t){1===t.which&&e(t)}}function F(){fe(\"onChange\")}function N(e,t){var n=void 0!==e?h.parseDate(e):h.latestSelectedDateObj||(h.config.minDate&&h.config.minDate>h.now?h.config.minDate:h.config.maxDate&&h.config.maxDate=0&&w(e,h.selectedDates[1])<=0}(t)&&!ge(t)&&o.classList.add(\"inRange\"),h.weekNumbers&&1===h.config.showMonths&&\"prevMonthDay\"!==e&&n%7==1&&h.weekNumbers.insertAdjacentHTML(\"beforeend\",\"\"+h.config.getWeek(t)+\"\"),fe(\"onDayCreate\",o),o}function j(e){e.focus(),\"range\"===h.config.mode&&ee(e)}function H(e){for(var t=e>0?0:h.config.showMonths-1,n=e>0?h.config.showMonths:-1,a=t;a!=n;a+=e)for(var i=h.daysContainer.children[a],o=e>0?0:i.children.length-1,r=e>0?i.children.length:-1,l=o;l!=r;l+=e){var c=i.children[l];if(-1===c.className.indexOf(\"hidden\")&&Z(c.dateObj))return c}}function L(e,t){var n=Q(document.activeElement||document.body),a=void 0!==e?e:n?document.activeElement:void 0!==h.selectedDateElem&&Q(h.selectedDateElem)?h.selectedDateElem:void 0!==h.todayDateElem&&Q(h.todayDateElem)?h.todayDateElem:H(t>0?1:-1);return void 0===a?h._input.focus():n?void function(e,t){for(var n=-1===e.className.indexOf(\"Month\")?e.dateObj.getMonth():h.currentMonth,a=t>0?h.config.showMonths:-1,i=t>0?1:-1,o=n-h.currentMonth;o!=a;o+=i)for(var r=h.daysContainer.children[o],l=n-h.currentMonth===o?e.$i+t:t<0?r.children.length-1:0,c=r.children.length,d=l;d>=0&&d0?c:-1);d+=i){var s=r.children[d];if(-1===s.className.indexOf(\"hidden\")&&Z(s.dateObj)&&Math.abs(e.$i-d)>=Math.abs(t))return j(s)}h.changeMonth(i),L(H(i),0)}(a,t):j(a)}function W(e,t){for(var n=(new Date(e,t,1).getDay()-h.l10n.firstDayOfWeek+7)%7,a=h.utils.getDaysInMonth((t-1+12)%12),i=h.utils.getDaysInMonth(t),o=window.document.createDocumentFragment(),r=h.config.showMonths>1,l=r?\"prevMonthDay hidden\":\"prevMonthDay\",c=r?\"nextMonthDay hidden\":\"nextMonthDay\",s=a+1-n,u=0;s<=a;s++,u++)o.appendChild(A(l,new Date(e,t-1,s),s,u));for(s=1;s<=i;s++,u++)o.appendChild(A(\"\",new Date(e,t,s),s,u));for(var f=i+1;f<=42-n&&(1===h.config.showMonths||u%7!=0);f++,u++)o.appendChild(A(c,new Date(e,t+1,f%i),f,u));var m=d(\"div\",\"dayContainer\");return m.appendChild(o),m}function R(){if(void 0!==h.daysContainer){s(h.daysContainer),h.weekNumbers&&s(h.weekNumbers);for(var e=document.createDocumentFragment(),t=0;t1||\"dropdown\"!==h.config.monthSelectorType)){var e=function(e){return!(void 0!==h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&eh.config.maxDate.getMonth())};h.monthsDropdownContainer.tabIndex=-1,h.monthsDropdownContainer.innerHTML=\"\";for(var t=0;t<12;t++)if(e(t)){var n=d(\"option\",\"flatpickr-monthDropdown-month\");n.value=new Date(h.currentYear,t).getMonth().toString(),n.textContent=m(t,h.config.shorthandCurrentMonth,h.l10n),n.tabIndex=-1,h.currentMonth===t&&(n.selected=!0),h.monthsDropdownContainer.appendChild(n)}}}function J(){var e,t=d(\"div\",\"flatpickr-month\"),n=window.document.createDocumentFragment();h.config.showMonths>1||\"static\"===h.config.monthSelectorType?e=d(\"span\",\"cur-month\"):(h.monthsDropdownContainer=d(\"select\",\"flatpickr-monthDropdown-months\"),O(h.monthsDropdownContainer,\"change\",(function(e){var t=e.target,n=parseInt(t.value,10);h.changeMonth(n-h.currentMonth),fe(\"onMonthChange\")})),B(),e=h.monthsDropdownContainer);var a=u(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",h.l10n.yearAriaLabel),h.config.minDate&&i.setAttribute(\"min\",h.config.minDate.getFullYear().toString()),h.config.maxDate&&(i.setAttribute(\"max\",h.config.maxDate.getFullYear().toString()),i.disabled=!!h.config.minDate&&h.config.minDate.getFullYear()===h.config.maxDate.getFullYear());var o=d(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),n.appendChild(o),t.appendChild(n),{container:t,yearElement:i,monthElement:e}}function K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e\\n \"+t.join(\"\")+\"\\n \\n \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var r}function V(e){if(!(!e||h.config.minDate&&eh.config.maxDate.getFullYear())){var t=e,n=h.currentYear!==t;h.currentYear=t||h.currentYear,h.config.maxDate&&h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth=Math.min(h.config.maxDate.getMonth(),h.currentMonth):h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&(h.currentMonth=Math.max(h.config.minDate.getMonth(),h.currentMonth)),n&&(h.redraw(),fe(\"onYearChange\"),B())}}function Z(e,t){void 0===t&&(t=!0);var n=h.parseDate(e,void 0,t);if(h.config.minDate&&n&&w(n,h.config.minDate,void 0!==t?t:!h.minDateHasTime)<0||h.config.maxDate&&n&&w(n,h.config.maxDate,void 0!==t?t:!h.maxDateHasTime)>0)return!1;if(0===h.config.enable.length&&0===h.config.disable.length)return!0;if(void 0===n)return!1;for(var a=h.config.enable.length>0,i=a?h.config.enable:h.config.disable,o=0,r=void 0;o=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>n&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),nt&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&dn,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete h.altInput),h.input&&(h.input.type=h.input._type,h.input.classList.remove(\"flatpickr-input\"),h.input.removeAttribute(\"readonly\"),h.input.value=\"\"),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete h[e]}catch(e){}}))},h.isEnabled=Z,h.jumpToDate=N,h.open=function(e,t){if(void 0===t&&(t=h._positionElement),!0===h.isMobile)return e&&(e.preventDefault(),e.target&&e.target.blur()),void 0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYearh.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return e.appendChild(t),{weekWrapper:e,weekNumbers:t}}(),n=t.weekWrapper,a=t.weekNumbers;h.innerContainer.appendChild(n),h.weekNumbers=a,h.weekWrapper=n}h.rContainer=d(\"div\",\"flatpickr-rContainer\"),h.rContainer.appendChild(U()),h.daysContainer||(h.daysContainer=d(\"div\",\"flatpickr-days\"),h.daysContainer.tabIndex=-1),R(),h.rContainer.appendChild(h.daysContainer),h.innerContainer.appendChild(h.rContainer),e.appendChild(h.innerContainer)}h.config.enableTime&&e.appendChild(function(){h.calendarContainer.classList.add(\"hasTime\"),h.config.noCalendar&&h.calendarContainer.classList.add(\"noCalendar\"),h.timeContainer=d(\"div\",\"flatpickr-time\"),h.timeContainer.tabIndex=-1;var e=d(\"span\",\"flatpickr-time-separator\",\":\"),t=u(\"flatpickr-hour\",{\"aria-label\":h.l10n.hourAriaLabel});h.hourElement=t.getElementsByTagName(\"input\")[0];var n=u(\"flatpickr-minute\",{\"aria-label\":h.l10n.minuteAriaLabel});if(h.minuteElement=n.getElementsByTagName(\"input\")[0],h.hourElement.tabIndex=h.minuteElement.tabIndex=-1,h.hourElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getHours():h.config.time_24hr?h.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(h.config.defaultHour)),h.minuteElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getMinutes():h.config.defaultMinute),h.hourElement.setAttribute(\"step\",h.config.hourIncrement.toString()),h.minuteElement.setAttribute(\"step\",h.config.minuteIncrement.toString()),h.hourElement.setAttribute(\"min\",h.config.time_24hr?\"0\":\"1\"),h.hourElement.setAttribute(\"max\",h.config.time_24hr?\"23\":\"12\"),h.minuteElement.setAttribute(\"min\",\"0\"),h.minuteElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(t),h.timeContainer.appendChild(e),h.timeContainer.appendChild(n),h.config.time_24hr&&h.timeContainer.classList.add(\"time24hr\"),h.config.enableSeconds){h.timeContainer.classList.add(\"hasSeconds\");var a=u(\"flatpickr-second\");h.secondElement=a.getElementsByTagName(\"input\")[0],h.secondElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getSeconds():h.config.defaultSeconds),h.secondElement.setAttribute(\"step\",h.minuteElement.getAttribute(\"step\")),h.secondElement.setAttribute(\"min\",\"0\"),h.secondElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(d(\"span\",\"flatpickr-time-separator\",\":\")),h.timeContainer.appendChild(a)}return h.config.time_24hr||(h.amPM=d(\"span\",\"flatpickr-am-pm\",h.l10n.amPM[o((h.latestSelectedDateObj?h.hourElement.value:h.config.defaultHour)>11)]),h.amPM.title=h.l10n.toggleTitle,h.amPM.tabIndex=-1,h.timeContainer.appendChild(h.amPM)),h.timeContainer}()),c(h.calendarContainer,\"rangeMode\",\"range\"===h.config.mode),c(h.calendarContainer,\"animate\",!0===h.config.animate),c(h.calendarContainer,\"multiMonth\",h.config.showMonths>1),h.calendarContainer.appendChild(e);var r=void 0!==h.config.appendTo&&void 0!==h.config.appendTo.nodeType;if((h.config.inline||h.config.static)&&(h.calendarContainer.classList.add(h.config.inline?\"inline\":\"static\"),h.config.inline&&(!r&&h.element.parentNode?h.element.parentNode.insertBefore(h.calendarContainer,h._input.nextSibling):void 0!==h.config.appendTo&&h.config.appendTo.appendChild(h.calendarContainer)),h.config.static)){var l=d(\"div\",\"flatpickr-wrapper\");h.element.parentNode&&h.element.parentNode.insertBefore(l,h.element),l.appendChild(h.element),h.altInput&&l.appendChild(h.altInput),l.appendChild(h.calendarContainer)}h.config.static||h.config.inline||(void 0!==h.config.appendTo?h.config.appendTo:window.document.body).appendChild(h.calendarContainer)}(),function(){if(h.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(h.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(t){return O(t,\"click\",h[e])}))})),h.isMobile)!function(){var e=h.config.enableTime?h.config.noCalendar?\"time\":\"datetime-local\":\"date\";h.mobileInput=d(\"input\",h.input.className+\" flatpickr-mobile\"),h.mobileInput.step=h.input.getAttribute(\"step\")||\"any\",h.mobileInput.tabIndex=1,h.mobileInput.type=e,h.mobileInput.disabled=h.input.disabled,h.mobileInput.required=h.input.required,h.mobileInput.placeholder=h.input.placeholder,h.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",h.selectedDates.length>0&&(h.mobileInput.defaultValue=h.mobileInput.value=h.formatDate(h.selectedDates[0],h.mobileFormatStr)),h.config.minDate&&(h.mobileInput.min=h.formatDate(h.config.minDate,\"Y-m-d\")),h.config.maxDate&&(h.mobileInput.max=h.formatDate(h.config.maxDate,\"Y-m-d\")),h.input.type=\"hidden\",void 0!==h.altInput&&(h.altInput.type=\"hidden\");try{h.input.parentNode&&h.input.parentNode.insertBefore(h.mobileInput,h.input.nextSibling)}catch(e){}O(h.mobileInput,\"change\",(function(e){h.setDate(e.target.value,!1,h.mobileFormatStr),fe(\"onChange\"),fe(\"onClose\")}))}();else{var e=r(te,50);h._debouncedChange=r(F,300),h.daysContainer&&!/iPhone|iPad|iPod/i.test(navigator.userAgent)&&O(h.daysContainer,\"mouseover\",(function(e){\"range\"===h.config.mode&&ee(e.target)})),O(window.document.body,\"keydown\",X),h.config.inline||h.config.static||O(window,\"resize\",e),void 0!==window.ontouchstart?O(window.document,\"touchstart\",G):O(window.document,\"mousedown\",_(G)),O(window.document,\"focus\",G,{capture:!0}),!0===h.config.clickOpens&&(O(h._input,\"focus\",h.open),O(h._input,\"mousedown\",_(h.open))),void 0!==h.daysContainer&&(O(h.monthNav,\"mousedown\",_(De)),O(h.monthNav,[\"keyup\",\"increment\"],S),O(h.daysContainer,\"mousedown\",_(ce))),void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&(O(h.timeContainer,[\"increment\"],x),O(h.timeContainer,\"blur\",x,{capture:!0}),O(h.timeContainer,\"mousedown\",_(P)),O([h.hourElement,h.minuteElement],[\"focus\",\"click\"],(function(e){return e.target.select()})),void 0!==h.secondElement&&O(h.secondElement,\"focus\",(function(){return h.secondElement&&h.secondElement.select()})),void 0!==h.amPM&&O(h.amPM,\"mousedown\",_((function(e){x(e),F()}))))}}(),(h.selectedDates.length||h.config.noCalendar)&&(h.config.enableTime&&T(h.config.noCalendar?h.latestSelectedDateObj||h.config.minDate:void 0),ve(!1)),M(),h.showTimeInput=h.selectedDates.length>0||h.config.noCalendar;var a=/^((?!chrome|android).)*safari/i.test(navigator.userAgent);!h.isMobile&&a&&oe(),fe(\"onReady\")}(),h}function M(e,t){for(var n=Array.prototype.slice.call(e).filter((function(e){return e instanceof HTMLElement})),a=[],i=0;ithis.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n", - " 412: function _(t,e,r){\n", - " /*! nouislider - 14.5.0 - 5/11/2020 */\n", - " var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;nthis.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' option was not recognized.\")}}function z(t,e){if(\"string\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'behaviour' must be a string containing options.\");var r=e.indexOf(\"tap\")>=0,n=e.indexOf(\"drag\")>=0,i=e.indexOf(\"fixed\")>=0,o=e.indexOf(\"snap\")>=0,s=e.indexOf(\"hover\")>=0,a=e.indexOf(\"unconstrained\")>=0;if(i){if(2!==t.handles)throw new Error(\"noUiSlider (14.5.0): 'fixed' behaviour must be used with 2 handles\");D(t,t.start[1]-t.start[0])}if(a&&(t.margin||t.limit))throw new Error(\"noUiSlider (14.5.0): 'unconstrained' behaviour cannot be used with margin or limit\");t.events={tap:r||o,drag:n,fixed:i,snap:o,hover:s,unconstrained:a}}function H(t,e){if(!1!==e)if(!0===e){t.tooltips=[];for(var r=0;r0&&((a=M(i,!1)).className=c(s,r.cssClasses.value),a.setAttribute(\"data-value\",o),a.style[r.style]=t+\"%\",a.innerHTML=n.to(o))}}(o,t[o][0],t[o][1])})),i}function B(){h&&(e(h),h=null)}function q(t){B();var e=t.mode,r=t.density||1,n=t.filter||!1,i=function(t,e,r){if(\"range\"===t||\"steps\"===t)return y.xVal;if(\"count\"===t){if(e<2)throw new Error(\"noUiSlider (14.5.0): 'values' (>= 2) required for mode 'count'.\");var n=e-1,i=100/n;for(e=[];n--;)e[n]=n*i;e.push(100),t=\"positions\"}return\"positions\"===t?e.map((function(t){return y.fromStepping(r?y.getStep(t):t)})):\"values\"===t?r?e.map((function(t){return y.fromStepping(y.getStep(y.toStepping(t)))})):e:void 0}(e,t.values||!1,t.stepped||!1),o=function(t,e,r){var n,i={},o=y.xVal[0],s=y.xVal[y.xVal.length-1],a=!1,l=!1,u=0;return n=r.slice().sort((function(t,e){return t-e})),(r=n.filter((function(t){return!this[t]&&(this[t]=!0)}),{}))[0]!==o&&(r.unshift(o),a=!0),r[r.length-1]!==s&&(r.push(s),l=!0),r.forEach((function(n,o){var s,c,p,f,d,h,m,g,v,x,b=n,S=r[o+1],w=\"steps\"===e;if(w&&(s=y.xNumSteps[o]),s||(s=S-b),!1!==b&&void 0!==S)for(s=Math.max(s,1e-7),c=b;c<=S;c=(c+s).toFixed(7)/1){for(g=(d=(f=y.toStepping(c))-u)/t,x=d/(v=Math.round(g)),p=1;p<=v;p+=1)i[(h=u+p*x).toFixed(5)]=[y.fromStepping(h),0];m=r.indexOf(c)>-1?1:w?2:0,!o&&a&&c!==S&&(m=0),c===S&&l||(i[f.toFixed(5)]=[c,m]),u=f}})),i}(r,e,i),s=t.format||{to:Math.round};return h=w.appendChild(T(o,n,s))}function _(){var t=l.getBoundingClientRect(),e=\"offset\"+[\"Width\",\"Height\"][r.ort];return 0===r.ort?t.width||l[e]:t.height||l[e]}function Y(t,e,n,i){var o=function(o){return!!(o=function(t,e,r){var n,i,o=0===t.type.indexOf(\"touch\"),s=0===t.type.indexOf(\"mouse\"),a=0===t.type.indexOf(\"pointer\");if(0===t.type.indexOf(\"MSPointer\")&&(a=!0),o){var l=function(t){return t.target===r||r.contains(t.target)||t.target.shadowRoot&&t.target.shadowRoot.contains(r)};if(\"touchstart\"===t.type){var u=Array.prototype.filter.call(t.touches,l);if(u.length>1)return!1;n=u[0].pageX,i=u[0].pageY}else{var c=Array.prototype.find.call(t.changedTouches,l);if(!c)return!1;n=c.pageX,i=c.pageY}}return e=e||p(A),(s||a)&&(n=t.clientX+e.x,i=t.clientY+e.y),t.pageOffset=e,t.points=[n,i],t.cursor=s||a,t}(o,i.pageOffset,i.target||e))&&!(H()&&!i.doNotReject)&&(s=w,a=r.cssClasses.tap,!((s.classList?s.classList.contains(a):new RegExp(\"\\\\b\"+a+\"\\\\b\").test(s.className))&&!i.doNotReject)&&!(t===b.start&&void 0!==o.buttons&&o.buttons>1)&&(!i.hover||!o.buttons)&&(S||o.preventDefault(),o.calcPoint=o.points[r.ort],void n(o,i)));var s,a},s=[];return t.split(\" \").forEach((function(t){e.addEventListener(t,o,!!S&&{passive:!0}),s.push([t,o])})),s}function I(t){var e,n,i,o,a,u,c=100*(t-(e=l,n=r.ort,i=e.getBoundingClientRect(),o=e.ownerDocument,a=o.documentElement,u=p(o),/webkit.*Chrome.*Mobile/i.test(navigator.userAgent)&&(u.x=0),n?i.top+u.y-a.clientTop:i.left+u.x-a.clientLeft))/_();return c=s(c),r.dir?100-c:c}function W(t,e){\"mouseout\"===t.type&&\"HTML\"===t.target.nodeName&&null===t.relatedTarget&&G(t,e)}function $(t,e){if(-1===navigator.appVersion.indexOf(\"MSIE 9\")&&0===t.buttons&&0!==e.buttonsProperty)return G(t,e);var n=(r.dir?-1:1)*(t.calcPoint-e.startCalcPoint);it(n>0,100*n/e.baseSize,e.locations,e.handleNumbers)}function G(t,e){e.handle&&(c(e.handle,r.cssClasses.active),P-=1),e.listeners.forEach((function(t){V.removeEventListener(t[0],t[1])})),0===P&&(c(w,r.cssClasses.drag),st(),t.cursor&&(k.style.cursor=\"\",k.removeEventListener(\"selectstart\",n))),e.handleNumbers.forEach((function(t){et(\"change\",t),et(\"set\",t),et(\"end\",t)}))}function J(t,e){if(e.handleNumbers.some(j))return!1;var i;1===e.handleNumbers.length&&(i=f[e.handleNumbers[0]].children[0],P+=1,u(i,r.cssClasses.active)),t.stopPropagation();var o=[],s=Y(b.move,V,$,{target:t.target,handle:i,listeners:o,startCalcPoint:t.calcPoint,baseSize:_(),pageOffset:t.pageOffset,handleNumbers:e.handleNumbers,buttonsProperty:t.buttons,locations:C.slice()}),a=Y(b.end,V,G,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers}),l=Y(\"mouseout\",V,W,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers});o.push.apply(o,s.concat(a,l)),t.cursor&&(k.style.cursor=getComputedStyle(t.target).cursor,f.length>1&&u(w,r.cssClasses.drag),k.addEventListener(\"selectstart\",n,!1)),e.handleNumbers.forEach((function(t){et(\"start\",t)}))}function K(t){t.stopPropagation();var e=I(t.calcPoint),n=function(t){var e=100,r=!1;return f.forEach((function(n,i){if(!j(i)){var o=C[i],s=Math.abs(o-t);(so||100===s&&100===e)&&(r=i,e=s)}})),r}(e);if(!1===n)return!1;r.events.snap||o(w,r.cssClasses.tap,r.animationDuration),at(n,e,!0,!0),st(),et(\"slide\",n,!0),et(\"update\",n,!0),et(\"change\",n,!0),et(\"set\",n,!0),r.events.snap&&J(t,{handleNumbers:[n]})}function Q(t){var e=I(t.calcPoint),r=y.getStep(e),n=y.fromStepping(r);Object.keys(U).forEach((function(t){\"hover\"===t.split(\".\")[0]&&U[t].forEach((function(t){t.call(g,n)}))}))}function Z(t,e){U[t]=U[t]||[],U[t].push(e),\"update\"===t.split(\".\")[0]&&f.forEach((function(t,e){et(\"update\",e)}))}function tt(t){var e=t&&t.split(\".\")[0],r=e&&t.substring(e.length);Object.keys(U).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||delete U[t]}))}function et(t,e,n){Object.keys(U).forEach((function(i){var o=i.split(\".\")[0];t===o&&U[i].forEach((function(t){t.call(g,E.map(r.format.to),e,E.slice(),n||!1,C.slice(),g)}))}))}function rt(t,e,n,i,o,a){var l;return f.length>1&&!r.events.unconstrained&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.margin,0),n=Math.max(n,l)),o&&e1&&r.limit&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.limit,0),n=Math.min(n,l)),o&&e1?n.forEach((function(t,r){var n=rt(i,t,i[t]+e,o[r],s[r],!1);!1===n?e=0:(e=n-i[t],i[t]=n)})):o=s=[!0];var a=!1;n.forEach((function(t,n){a=at(t,r[t]+e,o[n],s[n])||a})),a&&n.forEach((function(t){et(\"update\",t),et(\"slide\",t)}))}function ot(t,e){return r.dir?100-t-e:t}function st(){N.forEach((function(t){var e=C[t]>50?-1:1,r=3+(f.length+e*t);f[t].style.zIndex=r}))}function at(t,e,n,i){return!1!==(e=rt(C,t,e,n,i,!1))&&(function(t,e){C[t]=e,E[t]=y.fromStepping(e);var n=\"translate(\"+nt(10*(ot(e,0)-D)+\"%\",\"0\")+\")\";f[t].style[r.transformRule]=n,lt(t),lt(t+1)}(t,e),!0)}function lt(t){if(d[t]){var e=0,n=100;0!==t&&(e=C[t-1]),t!==d.length-1&&(n=C[t]);var i=n-e,o=\"translate(\"+nt(ot(e,i)+\"%\",\"0\")+\")\",s=\"scale(\"+nt(i/100,\"1\")+\")\";d[t].style[r.transformRule]=o+\" \"+s}}function ut(t,e){return null===t||!1===t||void 0===t?C[e]:(\"number\"==typeof t&&(t=String(t)),t=r.format.from(t),!1===(t=y.toStepping(t))||isNaN(t)?C[e]:t)}function ct(t,e){var n=a(t),i=void 0===C[0];e=void 0===e||!!e,r.animate&&!i&&o(w,r.cssClasses.tap,r.animationDuration),N.forEach((function(t){at(t,ut(n[t],t),!0,!1)}));for(var s=1===N.length?0:1;sn.stepAfter.startValue&&(o=n.stepAfter.startValue-i),s=i>n.thisStep.startValue?n.thisStep.step:!1!==n.stepBefore.step&&i-n.stepBefore.highestStep,100===e?o=null:0===e&&(s=null);var a=y.countStepDecimals();return null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}return u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=M(v,r.cssClasses.base),function(t,e){var n=M(e,r.cssClasses.connects);f=[],(d=[]).push(L(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip {\\n -webkit-transform: translate(50%, 0);\\n transform: translate(50%, 0);\\n left: auto;\\n bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n -webkit-transform: translate(0, -18px);\\n transform: translate(0, -18px);\\n top: auto;\\n right: 28px;\\n}\\n.bk-root .noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n display: none;\\n}\\n.bk-root .noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n display: block;\\n}\\n.bk-root .noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n width: 14px;\\n height: 18px;\\n right: -7px;\\n top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n width: 18px;\\n height: 14px;\\n right: -5px;\\n top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n margin: 0px 5px;\\n}\\n\"},\n", - " 415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n font-weight: 600;\\n}\\n\"},\n", - " 416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n", - " 417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", - " 418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", - " 419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n", - " 420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'},\n", - " 421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", - " 422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n", - " 423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n", - " 424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n", - " 425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n", - " 426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n", - " 427: function _(e,t,i){\n", - " /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n", - " var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n", - " /*!\n", - " * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n", - " *\n", - " * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n", - " * All Rights Reserved. Apache Software License 2.0\n", - " *\n", - " * http://www.apache.org/licenses/LICENSE-2.0\n", - " */\n", - " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n", - " 431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;sthis.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n", - " 432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n", - " 433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n", - " 434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n", - " 435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n", - " 436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n", - " 437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n", - " }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.1.1\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n", - " 439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n", - " 440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n", - " 441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n", - " 442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n=0&&l0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n+~]|\"+M+\")\"+M+\"*\"),U=new RegExp(M+\"|>\"),X=new RegExp(F),V=new RegExp(\"^\"+I+\"$\"),G={ID:new RegExp(\"^#(\"+I+\")\"),CLASS:new RegExp(\"^\\\\.(\"+I+\")\"),TAG:new RegExp(\"^(\"+I+\"|[*])\"),ATTR:new RegExp(\"^\"+W),PSEUDO:new RegExp(\"^\"+F),CHILD:new RegExp(\"^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\\\(\"+M+\"*(even|odd|(([+-]|)(\\\\d*)n|)\"+M+\"*(?:([+-]|)\"+M+\"*(\\\\d+)|))\"+M+\"*\\\\)|)\",\"i\"),bool:new RegExp(\"^(?:\"+R+\")$\",\"i\"),needsContext:new RegExp(\"^\"+M+\"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\\\(\"+M+\"*((?:-\\\\d)?\\\\d*)\"+M+\"*\\\\)|)(?=[^-]|$)\",\"i\")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\\d$/i,K=/^[^{]+\\{\\s*\\[native \\w/,Z=/^(?:#([\\w-]+)|(\\w+)|\\.([\\w-]+))$/,ee=/[+~]/,te=new RegExp(\"\\\\\\\\[\\\\da-fA-F]{1,6}\"+M+\"?|\\\\\\\\([^\\\\r\\\\n\\\\f])\",\"g\"),ne=function(e,t){var n=\"0x\"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\\0-\\x1f\\x7f]|^-?\\d)|^-$|[^\\0-\\x1f\\x7f-\\uFFFF\\w-]/g,ie=function(e,t){return t?\"\\0\"===e?\"�\":e.slice(0,-1)+\"\\\\\"+e.charCodeAt(e.length-1).toString(16)+\" \":\"\\\\\"+e},oe=function(){p()},ae=be((function(e){return!0===e.disabled&&\"fieldset\"===e.nodeName.toLowerCase()}),{dir:\"parentNode\",next:\"legend\"});try{H.apply(j=O.call(w.childNodes),w.childNodes),j[w.childNodes.length].nodeType}catch(e){H={apply:j.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){for(var n=e.length,r=0;e[n++]=t[r++];);e.length=n-1}}}function se(e,t,r,i){var o,s,l,c,f,h,y,m=t&&t.ownerDocument,w=t?t.nodeType:9;if(r=r||[],\"string\"!=typeof e||!e||1!==w&&9!==w&&11!==w)return r;if(!i&&(p(t),t=t||d,g)){if(11!==w&&(f=Z.exec(e)))if(o=f[1]){if(9===w){if(!(l=t.getElementById(o)))return r;if(l.id===o)return r.push(l),r}else if(m&&(l=m.getElementById(o))&&x(t,l)&&l.id===o)return r.push(l),r}else{if(f[2])return H.apply(r,t.getElementsByTagName(e)),r;if((o=f[3])&&n.getElementsByClassName&&t.getElementsByClassName)return H.apply(r,t.getElementsByClassName(o)),r}if(n.qsa&&!A[e+\" \"]&&(!v||!v.test(e))&&(1!==w||\"object\"!==t.nodeName.toLowerCase())){if(y=e,m=t,1===w&&(U.test(e)||z.test(e))){for((m=ee.test(e)&&ye(t.parentNode)||t)===t&&n.scope||((c=t.getAttribute(\"id\"))?c=c.replace(re,ie):t.setAttribute(\"id\",c=b)),s=(h=a(e)).length;s--;)h[s]=(c?\"#\"+c:\":scope\")+\" \"+xe(h[s]);y=h.join(\",\")}try{return H.apply(r,m.querySelectorAll(y)),r}catch(t){A(e,!0)}finally{c===b&&t.removeAttribute(\"id\")}}}return u(e.replace($,\"$1\"),t,r,i)}function ue(){var e=[];return function t(n,i){return e.push(n+\" \")>r.cacheLength&&delete t[e.shift()],t[n+\" \"]=i}}function le(e){return e[b]=!0,e}function ce(e){var t=d.createElement(\"fieldset\");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){for(var n=e.split(\"|\"),i=n.length;i--;)r.attrHandle[n[i]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)for(;n=n.nextSibling;)if(n===t)return-1;return e?1:-1}function de(e){return function(t){return\"input\"===t.nodeName.toLowerCase()&&t.type===e}}function he(e){return function(t){var n=t.nodeName.toLowerCase();return(\"input\"===n||\"button\"===n)&&t.type===e}}function ge(e){return function(t){return\"form\"in t?t.parentNode&&!1===t.disabled?\"label\"in t?\"label\"in t.parentNode?t.parentNode.disabled===e:t.disabled===e:t.isDisabled===e||t.isDisabled!==!e&&ae(t)===e:t.disabled===e:\"label\"in t&&t.disabled===e}}function ve(e){return le((function(t){return t=+t,le((function(n,r){for(var i,o=e([],n.length,t),a=o.length;a--;)n[i=o[a]]&&(n[i]=!(r[i]=n[i]))}))}))}function ye(e){return e&&void 0!==e.getElementsByTagName&&e}for(t in n=se.support={},o=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||\"HTML\")},p=se.setDocument=function(e){var t,i,a=e?e.ownerDocument||e:w;return a!=d&&9===a.nodeType&&a.documentElement?(h=(d=a).documentElement,g=!o(d),w!=d&&(i=d.defaultView)&&i.top!==i&&(i.addEventListener?i.addEventListener(\"unload\",oe,!1):i.attachEvent&&i.attachEvent(\"onunload\",oe)),n.scope=ce((function(e){return h.appendChild(e).appendChild(d.createElement(\"div\")),void 0!==e.querySelectorAll&&!e.querySelectorAll(\":scope fieldset div\").length})),n.attributes=ce((function(e){return e.className=\"i\",!e.getAttribute(\"className\")})),n.getElementsByTagName=ce((function(e){return e.appendChild(d.createComment(\"\")),!e.getElementsByTagName(\"*\").length})),n.getElementsByClassName=K.test(d.getElementsByClassName),n.getById=ce((function(e){return h.appendChild(e).id=b,!d.getElementsByName||!d.getElementsByName(b).length})),n.getById?(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute(\"id\")===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n=t.getElementById(e);return n?[n]:[]}}):(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){var n=void 0!==e.getAttributeNode&&e.getAttributeNode(\"id\");return n&&n.value===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o];for(i=t.getElementsByName(e),r=0;o=i[r++];)if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o]}return[]}}),r.find.TAG=n.getElementsByTagName?function(e,t){return void 0!==t.getElementsByTagName?t.getElementsByTagName(e):n.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if(\"*\"===e){for(;n=o[i++];)1===n.nodeType&&r.push(n);return r}return o},r.find.CLASS=n.getElementsByClassName&&function(e,t){if(void 0!==t.getElementsByClassName&&g)return t.getElementsByClassName(e)},y=[],v=[],(n.qsa=K.test(d.querySelectorAll))&&(ce((function(e){var t;h.appendChild(e).innerHTML=\"\",e.querySelectorAll(\"[msallowcapture^='']\").length&&v.push(\"[*^$]=\"+M+\"*(?:''|\\\"\\\")\"),e.querySelectorAll(\"[selected]\").length||v.push(\"\\\\[\"+M+\"*(?:value|\"+R+\")\"),e.querySelectorAll(\"[id~=\"+b+\"-]\").length||v.push(\"~=\"),(t=d.createElement(\"input\")).setAttribute(\"name\",\"\"),e.appendChild(t),e.querySelectorAll(\"[name='']\").length||v.push(\"\\\\[\"+M+\"*name\"+M+\"*=\"+M+\"*(?:''|\\\"\\\")\"),e.querySelectorAll(\":checked\").length||v.push(\":checked\"),e.querySelectorAll(\"a#\"+b+\"+*\").length||v.push(\".#.+[+~]\"),e.querySelectorAll(\"\\\\\\f\"),v.push(\"[\\\\r\\\\n\\\\f]\")})),ce((function(e){e.innerHTML=\"\";var t=d.createElement(\"input\");t.setAttribute(\"type\",\"hidden\"),e.appendChild(t).setAttribute(\"name\",\"D\"),e.querySelectorAll(\"[name=d]\").length&&v.push(\"name\"+M+\"*[*^$|!~]?=\"),2!==e.querySelectorAll(\":enabled\").length&&v.push(\":enabled\",\":disabled\"),h.appendChild(e).disabled=!0,2!==e.querySelectorAll(\":disabled\").length&&v.push(\":enabled\",\":disabled\"),e.querySelectorAll(\"*,:x\"),v.push(\",.*:\")}))),(n.matchesSelector=K.test(m=h.matches||h.webkitMatchesSelector||h.mozMatchesSelector||h.oMatchesSelector||h.msMatchesSelector))&&ce((function(e){n.disconnectedMatch=m.call(e,\"*\"),m.call(e,\"[s!='']:x\"),y.push(\"!=\",F)})),v=v.length&&new RegExp(v.join(\"|\")),y=y.length&&new RegExp(y.join(\"|\")),t=K.test(h.compareDocumentPosition),x=t||K.test(h.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)for(;t=t.parentNode;)if(t===e)return!0;return!1},N=t?function(e,t){if(e===t)return f=!0,0;var r=!e.compareDocumentPosition-!t.compareDocumentPosition;return r||(1&(r=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!n.sortDetached&&t.compareDocumentPosition(e)===r?e==d||e.ownerDocument==w&&x(w,e)?-1:t==d||t.ownerDocument==w&&x(w,t)?1:c?P(c,e)-P(c,t):0:4&r?-1:1)}:function(e,t){if(e===t)return f=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==d?-1:t==d?1:i?-1:o?1:c?P(c,e)-P(c,t):0;if(i===o)return pe(e,t);for(n=e;n=n.parentNode;)a.unshift(n);for(n=t;n=n.parentNode;)s.unshift(n);for(;a[r]===s[r];)r++;return r?pe(a[r],s[r]):a[r]==w?-1:s[r]==w?1:0},d):d},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(p(e),n.matchesSelector&&g&&!A[t+\" \"]&&(!y||!y.test(t))&&(!v||!v.test(t)))try{var r=m.call(e,t);if(r||n.disconnectedMatch||e.document&&11!==e.document.nodeType)return r}catch(e){A(t,!0)}return se(t,d,null,[e]).length>0},se.contains=function(e,t){return(e.ownerDocument||e)!=d&&p(e),x(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=d&&p(e);var i=r.attrHandle[t.toLowerCase()],o=i&&D.call(r.attrHandle,t.toLowerCase())?i(e,t,!g):void 0;return void 0!==o?o:n.attributes||!g?e.getAttribute(t):(o=e.getAttributeNode(t))&&o.specified?o.value:null},se.escape=function(e){return(e+\"\").replace(re,ie)},se.error=function(e){throw new Error(\"Syntax error, unrecognized expression: \"+e)},se.uniqueSort=function(e){var t,r=[],i=0,o=0;if(f=!n.detectDuplicates,c=!n.sortStable&&e.slice(0),e.sort(N),f){for(;t=e[o++];)t===e[o]&&(i=r.push(o));for(;i--;)e.splice(r[i],1)}return c=null,e},i=se.getText=function(e){var t,n=\"\",r=0,o=e.nodeType;if(o){if(1===o||9===o||11===o){if(\"string\"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=i(e)}else if(3===o||4===o)return e.nodeValue}else for(;t=e[r++];)n+=i(t);return n},(r=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{\">\":{dir:\"parentNode\",first:!0},\" \":{dir:\"parentNode\"},\"+\":{dir:\"previousSibling\",first:!0},\"~\":{dir:\"previousSibling\"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||\"\").replace(te,ne),\"~=\"===e[2]&&(e[3]=\" \"+e[3]+\" \"),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),\"nth\"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*(\"even\"===e[3]||\"odd\"===e[3])),e[5]=+(e[7]+e[8]||\"odd\"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||\"\":n&&X.test(n)&&(t=a(n,!0))&&(t=n.indexOf(\")\",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return\"*\"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=E[e+\" \"];return t||(t=new RegExp(\"(^|\"+M+\")\"+e+\"(\"+M+\"|$)\"))&&E(e,(function(e){return t.test(\"string\"==typeof e.className&&e.className||void 0!==e.getAttribute&&e.getAttribute(\"class\")||\"\")}))},ATTR:function(e,t,n){return function(r){var i=se.attr(r,e);return null==i?\"!=\"===t:!t||(i+=\"\",\"=\"===t?i===n:\"!=\"===t?i!==n:\"^=\"===t?n&&0===i.indexOf(n):\"*=\"===t?n&&i.indexOf(n)>-1:\"$=\"===t?n&&i.slice(-n.length)===n:\"~=\"===t?(\" \"+i.replace(B,\" \")+\" \").indexOf(n)>-1:\"|=\"===t&&(i===n||i.slice(0,n.length+1)===n+\"-\"))}},CHILD:function(e,t,n,r,i){var o=\"nth\"!==e.slice(0,3),a=\"last\"!==e.slice(-4),s=\"of-type\"===t;return 1===r&&0===i?function(e){return!!e.parentNode}:function(t,n,u){var l,c,f,p,d,h,g=o!==a?\"nextSibling\":\"previousSibling\",v=t.parentNode,y=s&&t.nodeName.toLowerCase(),m=!u&&!s,x=!1;if(v){if(o){for(;g;){for(p=t;p=p[g];)if(s?p.nodeName.toLowerCase()===y:1===p.nodeType)return!1;h=g=\"only\"===e&&!h&&\"nextSibling\"}return!0}if(h=[a?v.firstChild:v.lastChild],a&&m){for(x=(d=(l=(c=(f=(p=v)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1])&&l[2],p=d&&v.childNodes[d];p=++d&&p&&p[g]||(x=d=0)||h.pop();)if(1===p.nodeType&&++x&&p===t){c[e]=[T,d,x];break}}else if(m&&(x=d=(l=(c=(f=(p=t)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1]),!1===x)for(;(p=++d&&p&&p[g]||(x=d=0)||h.pop())&&((s?p.nodeName.toLowerCase()!==y:1!==p.nodeType)||!++x||(m&&((c=(f=p[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]=[T,x]),p!==t)););return(x-=i)===r||x%r==0&&x/r>=0}}},PSEUDO:function(e,t){var n,i=r.pseudos[e]||r.setFilters[e.toLowerCase()]||se.error(\"unsupported pseudo: \"+e);return i[b]?i(t):i.length>1?(n=[e,e,\"\",t],r.setFilters.hasOwnProperty(e.toLowerCase())?le((function(e,n){for(var r,o=i(e,t),a=o.length;a--;)e[r=P(e,o[a])]=!(n[r]=o[a])})):function(e){return i(e,0,n)}):i}},pseudos:{not:le((function(e){var t=[],n=[],r=s(e.replace($,\"$1\"));return r[b]?le((function(e,t,n,i){for(var o,a=r(e,null,i,[]),s=e.length;s--;)(o=a[s])&&(e[s]=!(t[s]=o))})):function(e,i,o){return t[0]=e,r(t,null,o,n),t[0]=null,!n.pop()}})),has:le((function(e){return function(t){return se(e,t).length>0}})),contains:le((function(e){return e=e.replace(te,ne),function(t){return(t.textContent||i(t)).indexOf(e)>-1}})),lang:le((function(e){return V.test(e||\"\")||se.error(\"unsupported lang: \"+e),e=e.replace(te,ne).toLowerCase(),function(t){var n;do{if(n=g?t.lang:t.getAttribute(\"xml:lang\")||t.getAttribute(\"lang\"))return(n=n.toLowerCase())===e||0===n.indexOf(e+\"-\")}while((t=t.parentNode)&&1===t.nodeType);return!1}})),target:function(t){var n=e.location&&e.location.hash;return n&&n.slice(1)===t.id},root:function(e){return e===h},focus:function(e){return e===d.activeElement&&(!d.hasFocus||d.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&!!e.checked||\"option\"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!r.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&\"button\"===e.type||\"button\"===t},text:function(e){var t;return\"input\"===e.nodeName.toLowerCase()&&\"text\"===e.type&&(null==(t=e.getAttribute(\"type\"))||\"text\"===t.toLowerCase())},first:ve((function(){return[0]})),last:ve((function(e,t){return[t-1]})),eq:ve((function(e,t,n){return[n<0?n+t:n]})),even:ve((function(e,t){for(var n=0;nt?t:n;--r>=0;)e.push(r);return e})),gt:ve((function(e,t,n){for(var r=n<0?n+t:n;++r1?function(t,n,r){for(var i=e.length;i--;)if(!e[i](t,n,r))return!1;return!0}:e[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s-1&&(o[l]=!(a[l]=f))}}else y=Te(y===a?y.splice(h,y.length):y),i?i(null,a,y,u):H.apply(a,y)}))}function Ee(e){for(var t,n,i,o=e.length,a=r.relative[e[0].type],s=a||r.relative[\" \"],u=a?1:0,c=be((function(e){return e===t}),s,!0),f=be((function(e){return P(t,e)>-1}),s,!0),p=[function(e,n,r){var i=!a&&(r||n!==l)||((t=n).nodeType?c(e,n,r):f(e,n,r));return t=null,i}];u1&&we(p),u>1&&xe(e.slice(0,u-1).concat({value:\" \"===e[u-2].type?\"*\":\"\"})).replace($,\"$1\"),n,u0,i=e.length>0,o=function(o,a,s,u,c){var f,h,v,y=0,m=\"0\",x=o&&[],b=[],w=l,C=o||i&&r.find.TAG(\"*\",c),E=T+=null==w?1:Math.random()||.1,S=C.length;for(c&&(l=a==d||a||c);m!==S&&null!=(f=C[m]);m++){if(i&&f){for(h=0,a||f.ownerDocument==d||(p(f),s=!g);v=e[h++];)if(v(f,a||d,s)){u.push(f);break}c&&(T=E)}n&&((f=!v&&f)&&y--,o&&x.push(f))}if(y+=m,n&&m!==y){for(h=0;v=t[h++];)v(x,b,a,s);if(o){if(y>0)for(;m--;)x[m]||b[m]||(b[m]=q.call(u));b=Te(b)}H.apply(u,b),c&&!o&&b.length>0&&y+t.length>1&&se.uniqueSort(u)}return c&&(T=E,l=w),x};return n?le(o):o}(o,i))).selector=e}return s},u=se.select=function(e,t,n,i){var o,u,l,c,f,p=\"function\"==typeof e&&e,d=!i&&a(e=p.selector||e);if(n=n||[],1===d.length){if((u=d[0]=d[0].slice(0)).length>2&&\"ID\"===(l=u[0]).type&&9===t.nodeType&&g&&r.relative[u[1].type]){if(!(t=(r.find.ID(l.matches[0].replace(te,ne),t)||[])[0]))return n;p&&(t=t.parentNode),e=e.slice(u.shift().value.length)}for(o=G.needsContext.test(e)?0:u.length;o--&&(l=u[o],!r.relative[c=l.type]);)if((f=r.find[c])&&(i=f(l.matches[0].replace(te,ne),ee.test(u[0].type)&&ye(t.parentNode)||t))){if(u.splice(o,1),!(e=i.length&&xe(u)))return H.apply(n,i),n;break}}return(p||s(e,d))(i,t,!g,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},n.sortStable=b.split(\"\").sort(N).join(\"\")===b,n.detectDuplicates=!!f,p(),n.sortDetached=ce((function(e){return 1&e.compareDocumentPosition(d.createElement(\"fieldset\"))})),ce((function(e){return e.innerHTML=\"\",\"#\"===e.firstChild.getAttribute(\"href\")}))||fe(\"type|href|height|width\",(function(e,t,n){if(!n)return e.getAttribute(t,\"type\"===t.toLowerCase()?1:2)})),n.attributes&&ce((function(e){return e.innerHTML=\"\",e.firstChild.setAttribute(\"value\",\"\"),\"\"===e.firstChild.getAttribute(\"value\")}))||fe(\"value\",(function(e,t,n){if(!n&&\"input\"===e.nodeName.toLowerCase())return e.defaultValue})),ce((function(e){return null==e.getAttribute(\"disabled\")}))||fe(R,(function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null})),se}(e);b.find=T,b.expr=T.selectors,b.expr[\":\"]=b.expr.pseudos,b.uniqueSort=b.unique=T.uniqueSort,b.text=T.getText,b.isXMLDoc=T.isXML,b.contains=T.contains,b.escapeSelector=T.escape;var C=function(e,t,n){for(var r=[],i=void 0!==n;(e=e[t])&&9!==e.nodeType;)if(1===e.nodeType){if(i&&b(e).is(n))break;r.push(e)}return r},E=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},S=b.expr.match.needsContext;function k(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var A=/^<([a-z][^\\/\\0>:\\x20\\t\\r\\n\\f]*)[\\x20\\t\\r\\n\\f]*\\/?>(?:<\\/\\1>|)$/i;function N(e,t,n){return h(t)?b.grep(e,(function(e,r){return!!t.call(e,r,e)!==n})):t.nodeType?b.grep(e,(function(e){return e===t!==n})):\"string\"!=typeof t?b.grep(e,(function(e){return s.call(t,e)>-1!==n})):b.filter(t,e,n)}b.filter=function(e,t,n){var r=t[0];return n&&(e=\":not(\"+e+\")\"),1===t.length&&1===r.nodeType?b.find.matchesSelector(r,e)?[r]:[]:b.find.matches(e,b.grep(t,(function(e){return 1===e.nodeType})))},b.fn.extend({find:function(e){var t,n,r=this.length,i=this;if(\"string\"!=typeof e)return this.pushStack(b(e).filter((function(){for(t=0;t1?b.uniqueSort(n):n},filter:function(e){return this.pushStack(N(this,e||[],!1))},not:function(e){return this.pushStack(N(this,e||[],!0))},is:function(e){return!!N(this,\"string\"==typeof e&&S.test(e)?b(e):e||[],!1).length}});var D,j=/^(?:\\s*(<[\\w\\W]+>)[^>]*|#([\\w-]+))$/;(b.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,\"string\"==typeof e){if(!(r=\"<\"===e[0]&&\">\"===e[e.length-1]&&e.length>=3?[null,e,null]:j.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof b?t[0]:t,b.merge(this,b.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:v,!0)),A.test(r[1])&&b.isPlainObject(t))for(r in t)h(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=v.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):h(e)?void 0!==n.ready?n.ready(e):e(b):b.makeArray(e,this)}).prototype=b.fn,D=b(v);var q=/^(?:parents|prev(?:Until|All))/,L={children:!0,contents:!0,next:!0,prev:!0};function H(e,t){for(;(e=e[t])&&1!==e.nodeType;);return e}b.fn.extend({has:function(e){var t=b(e,this),n=t.length;return this.filter((function(){for(var e=0;e-1:1===n.nodeType&&b.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(o.length>1?b.uniqueSort(o):o)},index:function(e){return e?\"string\"==typeof e?s.call(b(e),this[0]):s.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(b.uniqueSort(b.merge(this.get(),b(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),b.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return C(e,\"parentNode\")},parentsUntil:function(e,t,n){return C(e,\"parentNode\",n)},next:function(e){return H(e,\"nextSibling\")},prev:function(e){return H(e,\"previousSibling\")},nextAll:function(e){return C(e,\"nextSibling\")},prevAll:function(e){return C(e,\"previousSibling\")},nextUntil:function(e,t,n){return C(e,\"nextSibling\",n)},prevUntil:function(e,t,n){return C(e,\"previousSibling\",n)},siblings:function(e){return E((e.parentNode||{}).firstChild,e)},children:function(e){return E(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(k(e,\"template\")&&(e=e.content||e),b.merge([],e.childNodes))}},(function(e,t){b.fn[e]=function(n,r){var i=b.map(this,t,n);return\"Until\"!==e.slice(-5)&&(r=n),r&&\"string\"==typeof r&&(i=b.filter(r,i)),this.length>1&&(L[e]||b.uniqueSort(i),q.test(e)&&i.reverse()),this.pushStack(i)}}));var O=/[^\\x20\\t\\r\\n\\f]+/g;function P(e){return e}function R(e){throw e}function M(e,t,n,r){var i;try{e&&h(i=e.promise)?i.call(e).done(t).fail(n):e&&h(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}b.Callbacks=function(e){e=\"string\"==typeof e?function(e){var t={};return b.each(e.match(O)||[],(function(e,n){t[n]=!0})),t}(e):b.extend({},e);var t,n,r,i,o=[],a=[],s=-1,u=function(){for(i=i||e.once,r=t=!0;a.length;s=-1)for(n=a.shift();++s-1;)o.splice(n,1),n<=s&&s--})),this},has:function(e){return e?b.inArray(e,o)>-1:o.length>0},empty:function(){return o&&(o=[]),this},disable:function(){return i=a=[],o=n=\"\",this},disabled:function(){return!o},lock:function(){return i=a=[],n||t||(o=n=\"\"),this},locked:function(){return!!i},fireWith:function(e,n){return i||(n=[e,(n=n||[]).slice?n.slice():n],a.push(n),t||u()),this},fire:function(){return l.fireWith(this,arguments),this},fired:function(){return!!r}};return l},b.extend({Deferred:function(t){var n=[[\"notify\",\"progress\",b.Callbacks(\"memory\"),b.Callbacks(\"memory\"),2],[\"resolve\",\"done\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),0,\"resolved\"],[\"reject\",\"fail\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),1,\"rejected\"]],r=\"pending\",i={state:function(){return r},always:function(){return o.done(arguments).fail(arguments),this},catch:function(e){return i.then(null,e)},pipe:function(){var e=arguments;return b.Deferred((function(t){b.each(n,(function(n,r){var i=h(e[r[4]])&&e[r[4]];o[r[1]]((function(){var e=i&&i.apply(this,arguments);e&&h(e.promise)?e.promise().progress(t.notify).done(t.resolve).fail(t.reject):t[r[0]+\"With\"](this,i?[e]:arguments)}))})),e=null})).promise()},then:function(t,r,i){var o=0;function a(t,n,r,i){return function(){var s=this,u=arguments,l=function(){var e,l;if(!(t=o&&(r!==R&&(s=void 0,u=[e]),n.rejectWith(s,u))}};t?c():(b.Deferred.getStackHook&&(c.stackTrace=b.Deferred.getStackHook()),e.setTimeout(c))}}return b.Deferred((function(e){n[0][3].add(a(0,e,h(i)?i:P,e.notifyWith)),n[1][3].add(a(0,e,h(t)?t:P)),n[2][3].add(a(0,e,h(r)?r:R))})).promise()},promise:function(e){return null!=e?b.extend(e,i):i}},o={};return b.each(n,(function(e,t){var a=t[2],s=t[5];i[t[1]]=a.add,s&&a.add((function(){r=s}),n[3-e][2].disable,n[3-e][3].disable,n[0][2].lock,n[0][3].lock),a.add(t[3].fire),o[t[0]]=function(){return o[t[0]+\"With\"](this===o?void 0:this,arguments),this},o[t[0]+\"With\"]=a.fireWith})),i.promise(o),t&&t.call(o,o),o},when:function(e){var t=arguments.length,n=t,r=Array(n),o=i.call(arguments),a=b.Deferred(),s=function(e){return function(n){r[e]=this,o[e]=arguments.length>1?i.call(arguments):n,--t||a.resolveWith(r,o)}};if(t<=1&&(M(e,a.done(s(n)).resolve,a.reject,!t),\"pending\"===a.state()||h(o[n]&&o[n].then)))return a.then();for(;n--;)M(o[n],s(n),a.reject);return a.promise()}});var I=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;b.Deferred.exceptionHook=function(t,n){e.console&&e.console.warn&&t&&I.test(t.name)&&e.console.warn(\"jQuery.Deferred exception: \"+t.message,t.stack,n)},b.readyException=function(t){e.setTimeout((function(){throw t}))};var W=b.Deferred();function F(){v.removeEventListener(\"DOMContentLoaded\",F),e.removeEventListener(\"load\",F),b.ready()}b.fn.ready=function(e){return W.then(e).catch((function(e){b.readyException(e)})),this},b.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--b.readyWait:b.isReady)||(b.isReady=!0,!0!==e&&--b.readyWait>0||W.resolveWith(v,[b]))}}),b.ready.then=W.then,\"complete\"===v.readyState||\"loading\"!==v.readyState&&!v.documentElement.doScroll?e.setTimeout(b.ready):(v.addEventListener(\"DOMContentLoaded\",F),e.addEventListener(\"load\",F));var B=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if(\"object\"===x(n))for(s in i=!0,n)B(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,h(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(b(e),n)})),t))for(;s1,null,!0)},removeData:function(e){return this.each((function(){Y.remove(this,e)}))}}),b.extend({queue:function(e,t,n){var r;if(e)return t=(t||\"fx\")+\"queue\",r=G.get(e,t),n&&(!r||Array.isArray(n)?r=G.access(e,t,b.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||\"fx\";var n=b.queue(e,t),r=n.length,i=n.shift(),o=b._queueHooks(e,t);\"inprogress\"===i&&(i=n.shift(),r--),i&&(\"fx\"===t&&n.unshift(\"inprogress\"),delete o.stop,i.call(e,(function(){b.dequeue(e,t)}),o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+\"queueHooks\";return G.get(e,n)||G.access(e,n,{empty:b.Callbacks(\"once memory\").add((function(){G.remove(e,[t+\"queue\",n])}))})}}),b.fn.extend({queue:function(e,t){var n=2;return\"string\"!=typeof e&&(t=e,e=\"fx\",n--),arguments.length\\x20\\t\\r\\n\\f]*)/i,he=/^$|^module$|\\/(?:java|ecma)script/i;ce=v.createDocumentFragment().appendChild(v.createElement(\"div\")),(fe=v.createElement(\"input\")).setAttribute(\"type\",\"radio\"),fe.setAttribute(\"checked\",\"checked\"),fe.setAttribute(\"name\",\"t\"),ce.appendChild(fe),d.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML=\"\",d.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML=\"\",d.option=!!ce.lastChild;var ge={thead:[1,\"\",\"
\"],col:[2,\"\",\"
\"],tr:[2,\"\",\"
\"],td:[3,\"\",\"
\"],_default:[0,\"\",\"\"]};function ve(e,t){var n;return n=void 0!==e.getElementsByTagName?e.getElementsByTagName(t||\"*\"):void 0!==e.querySelectorAll?e.querySelectorAll(t||\"*\"):[],void 0===t||t&&k(e,t)?b.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n\",\"\"]);var me=/<|&#?\\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d-1)i&&i.push(o);else if(l=re(o),a=ve(f.appendChild(o),\"script\"),l&&ye(a),n)for(c=0;o=a[c++];)he.test(o.type||\"\")&&n.push(o);return f}var be=/^key/,we=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Te=/^([^.]*)(?:\\.(.+)|)/;function Ce(){return!0}function Ee(){return!1}function Se(e,t){return e===function(){try{return v.activeElement}catch(e){}}()==(\"focus\"===t)}function ke(e,t,n,r,i,o){var a,s;if(\"object\"==typeof t){for(s in\"string\"!=typeof n&&(r=r||n,n=void 0),t)ke(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&(\"string\"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ee;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return b().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=b.guid++)),e.each((function(){b.event.add(this,t,i,r,n)}))}function Ae(e,t,n){n?(G.set(e,t,!1),b.event.add(e,t,{namespace:!1,handler:function(e){var r,o,a=G.get(this,t);if(1&e.isTrigger&&this[t]){if(a.length)(b.event.special[t]||{}).delegateType&&e.stopPropagation();else if(a=i.call(arguments),G.set(this,t,a),r=n(this,t),this[t](),a!==(o=G.get(this,t))||r?G.set(this,t,!1):o={},a!==o)return e.stopImmediatePropagation(),e.preventDefault(),o.value}else a.length&&(G.set(this,t,{value:b.event.trigger(b.extend(a[0],b.Event.prototype),a.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===G.get(e,t)&&b.event.add(e,t,Ce)}b.event={global:{},add:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=G.get(e);if(X(e))for(n.handler&&(n=(o=n).handler,i=o.selector),i&&b.find.matchesSelector(ne,i),n.guid||(n.guid=b.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(t){return void 0!==b&&b.event.triggered!==t.type?b.event.dispatch.apply(e,arguments):void 0}),l=(t=(t||\"\").match(O)||[\"\"]).length;l--;)d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d&&(f=b.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=b.event.special[d]||{},c=b.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&b.expr.match.needsContext.test(i),namespace:h.join(\".\")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(e,r,h,a)||e.addEventListener&&e.addEventListener(d,a)),f.add&&(f.add.call(e,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),b.event.global[d]=!0)},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=G.hasData(e)&&G.get(e);if(v&&(u=v.events)){for(l=(t=(t||\"\").match(O)||[\"\"]).length;l--;)if(d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d){for(f=b.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp(\"(^|\\\\.)\"+h.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"),a=o=p.length;o--;)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&(\"**\"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||b.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)b.event.remove(e,d+t[l],n,r,!0);b.isEmptyObject(u)&&G.remove(e,\"handle events\")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=b.event.fix(e),l=(G.get(this,\"events\")||Object.create(null))[u.type]||[],c=b.event.special[u.type]||{};for(s[0]=u,t=1;t=1))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&(\"click\"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n-1:b.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u\\s*$/g;function qe(e,t){return k(e,\"table\")&&k(11!==t.nodeType?t:t.firstChild,\"tr\")&&b(e).children(\"tbody\")[0]||e}function Le(e){return e.type=(null!==e.getAttribute(\"type\"))+\"/\"+e.type,e}function He(e){return\"true/\"===(e.type||\"\").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute(\"type\"),e}function Oe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(G.hasData(e)&&(s=G.get(e).events))for(i in G.remove(t,\"handle events\"),s)for(n=0,r=s[i].length;n1&&\"string\"==typeof v&&!d.checkClone&&De.test(v))return e.each((function(i){var o=e.eq(i);y&&(t[0]=v.call(this,i,o.html())),Re(o,t,n,r)}));if(p&&(a=(i=xe(t,e[0].ownerDocument,!1,e,r)).firstChild,1===i.childNodes.length&&(i=a),a||r)){for(u=(s=b.map(ve(i,\"script\"),Le)).length;f0&&ye(a,!u&&ve(e,\"script\")),s},cleanData:function(e){for(var t,n,r,i=b.event.special,o=0;void 0!==(n=e[o]);o++)if(X(n)){if(t=n[G.expando]){if(t.events)for(r in t.events)i[r]?b.event.remove(n,r):b.removeEvent(n,r,t.handle);n[G.expando]=void 0}n[Y.expando]&&(n[Y.expando]=void 0)}}}),b.fn.extend({detach:function(e){return Me(this,e,!0)},remove:function(e){return Me(this,e)},text:function(e){return B(this,(function(e){return void 0===e?b.text(this):this.empty().each((function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)}))}),null,e,arguments.length)},append:function(){return Re(this,arguments,(function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||qe(this,e).appendChild(e)}))},prepend:function(){return Re(this,arguments,(function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=qe(this,e);t.insertBefore(e,t.firstChild)}}))},before:function(){return Re(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this)}))},after:function(){return Re(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)}))},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(b.cleanData(ve(e,!1)),e.textContent=\"\");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map((function(){return b.clone(this,e,t)}))},html:function(e){return B(this,(function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if(\"string\"==typeof e&&!Ne.test(e)&&!ge[(de.exec(e)||[\"\",\"\"])[1].toLowerCase()]){e=b.htmlPrefilter(e);try{for(;n3,ne.removeChild(t)),s}}))}();var ze=[\"Webkit\",\"Moz\",\"ms\"],Ue=v.createElement(\"div\").style,Xe={};function Ve(e){var t=b.cssProps[e]||Xe[e];return t||(e in Ue?e:Xe[e]=function(e){for(var t=e[0].toUpperCase()+e.slice(1),n=ze.length;n--;)if((e=ze[n]+t)in Ue)return e}(e)||e)}var Ge=/^(none|table(?!-c[ea]).+)/,Ye=/^--/,Qe={position:\"absolute\",visibility:\"hidden\",display:\"block\"},Je={letterSpacing:\"0\",fontWeight:\"400\"};function Ke(e,t,n){var r=ee.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||\"px\"):t}function Ze(e,t,n,r,i,o){var a=\"width\"===t?1:0,s=0,u=0;if(n===(r?\"border\":\"content\"))return 0;for(;a<4;a+=2)\"margin\"===n&&(u+=b.css(e,n+te[a],!0,i)),r?(\"content\"===n&&(u-=b.css(e,\"padding\"+te[a],!0,i)),\"margin\"!==n&&(u-=b.css(e,\"border\"+te[a]+\"Width\",!0,i))):(u+=b.css(e,\"padding\"+te[a],!0,i),\"padding\"!==n?u+=b.css(e,\"border\"+te[a]+\"Width\",!0,i):s+=b.css(e,\"border\"+te[a]+\"Width\",!0,i));return!r&&o>=0&&(u+=Math.max(0,Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function et(e,t,n){var r=We(e),i=(!d.boxSizingReliable()||n)&&\"border-box\"===b.css(e,\"boxSizing\",!1,r),o=i,a=$e(e,t,r),s=\"offset\"+t[0].toUpperCase()+t.slice(1);if(Ie.test(a)){if(!n)return a;a=\"auto\"}return(!d.boxSizingReliable()&&i||!d.reliableTrDimensions()&&k(e,\"tr\")||\"auto\"===a||!parseFloat(a)&&\"inline\"===b.css(e,\"display\",!1,r))&&e.getClientRects().length&&(i=\"border-box\"===b.css(e,\"boxSizing\",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ze(e,t,n||(i?\"border\":\"content\"),o,r,a)+\"px\"}function tt(e,t,n,r,i){return new tt.prototype.init(e,t,n,r,i)}b.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=$e(e,\"opacity\");return\"\"===n?\"1\":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=U(t),u=Ye.test(t),l=e.style;if(u||(t=Ve(s)),a=b.cssHooks[t]||b.cssHooks[s],void 0===n)return a&&\"get\"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];\"string\"===(o=typeof n)&&(i=ee.exec(n))&&i[1]&&(n=ae(e,t,i),o=\"number\"),null!=n&&n==n&&(\"number\"!==o||u||(n+=i&&i[3]||(b.cssNumber[s]?\"\":\"px\")),d.clearCloneStyle||\"\"!==n||0!==t.indexOf(\"background\")||(l[t]=\"inherit\"),a&&\"set\"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=U(t);return Ye.test(t)||(t=Ve(s)),(a=b.cssHooks[t]||b.cssHooks[s])&&\"get\"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=$e(e,t,r)),\"normal\"===i&&t in Je&&(i=Je[t]),\"\"===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),b.each([\"height\",\"width\"],(function(e,t){b.cssHooks[t]={get:function(e,n,r){if(n)return!Ge.test(b.css(e,\"display\"))||e.getClientRects().length&&e.getBoundingClientRect().width?et(e,t,r):Fe(e,Qe,(function(){return et(e,t,r)}))},set:function(e,n,r){var i,o=We(e),a=!d.scrollboxSize()&&\"absolute\"===o.position,s=(a||r)&&\"border-box\"===b.css(e,\"boxSizing\",!1,o),u=r?Ze(e,t,r,s,o):0;return s&&a&&(u-=Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-parseFloat(o[t])-Ze(e,t,\"border\",!1,o)-.5)),u&&(i=ee.exec(n))&&\"px\"!==(i[3]||\"px\")&&(e.style[t]=n,n=b.css(e,t)),Ke(0,n,u)}}})),b.cssHooks.marginLeft=_e(d.reliableMarginLeft,(function(e,t){if(t)return(parseFloat($e(e,\"marginLeft\"))||e.getBoundingClientRect().left-Fe(e,{marginLeft:0},(function(){return e.getBoundingClientRect().left})))+\"px\"})),b.each({margin:\"\",padding:\"\",border:\"Width\"},(function(e,t){b.cssHooks[e+t]={expand:function(n){for(var r=0,i={},o=\"string\"==typeof n?n.split(\" \"):[n];r<4;r++)i[e+te[r]+t]=o[r]||o[r-2]||o[0];return i}},\"margin\"!==e&&(b.cssHooks[e+t].set=Ke)})),b.fn.extend({css:function(e,t){return B(this,(function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=We(e),i=t.length;a1)}}),b.Tween=tt,tt.prototype={constructor:tt,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||b.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(b.cssNumber[n]?\"\":\"px\")},cur:function(){var e=tt.propHooks[this.prop];return e&&e.get?e.get(this):tt.propHooks._default.get(this)},run:function(e){var t,n=tt.propHooks[this.prop];return this.options.duration?this.pos=t=b.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):tt.propHooks._default.set(this),this}},tt.prototype.init.prototype=tt.prototype,tt.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=b.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){b.fx.step[e.prop]?b.fx.step[e.prop](e):1!==e.elem.nodeType||!b.cssHooks[e.prop]&&null==e.elem.style[Ve(e.prop)]?e.elem[e.prop]=e.now:b.style(e.elem,e.prop,e.now+e.unit)}}},tt.propHooks.scrollTop=tt.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},b.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},b.fx=tt.prototype.init,b.fx.step={};var nt,rt,it=/^(?:toggle|show|hide)$/,ot=/queueHooks$/;function at(){rt&&(!1===v.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(at):e.setTimeout(at,b.fx.interval),b.fx.tick())}function st(){return e.setTimeout((function(){nt=void 0})),nt=Date.now()}function ut(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i[\"margin\"+(n=te[r])]=i[\"padding\"+n]=e;return t&&(i.opacity=i.width=e),i}function lt(e,t,n){for(var r,i=(ct.tweeners[t]||[]).concat(ct.tweeners[\"*\"]),o=0,a=i.length;o1)},removeAttr:function(e){return this.each((function(){b.removeAttr(this,e)}))}}),b.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return void 0===e.getAttribute?b.prop(e,t,n):(1===o&&b.isXMLDoc(e)||(i=b.attrHooks[t.toLowerCase()]||(b.expr.match.bool.test(t)?ft:void 0)),void 0!==n?null===n?void b.removeAttr(e,t):i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+\"\"),n):i&&\"get\"in i&&null!==(r=i.get(e,t))?r:null==(r=b.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!d.radioValue&&\"radio\"===t&&k(e,\"input\")){var n=e.value;return e.setAttribute(\"type\",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(O);if(i&&1===e.nodeType)for(;n=i[r++];)e.removeAttribute(n)}}),ft={set:function(e,t,n){return!1===t?b.removeAttr(e,n):e.setAttribute(n,n),n}},b.each(b.expr.match.bool.source.match(/\\w+/g),(function(e,t){var n=pt[t]||b.find.attr;pt[t]=function(e,t,r){var i,o,a=t.toLowerCase();return r||(o=pt[a],pt[a]=i,i=null!=n(e,t,r)?a:null,pt[a]=o),i}}));var dt=/^(?:input|select|textarea|button)$/i,ht=/^(?:a|area)$/i;function gt(e){return(e.match(O)||[]).join(\" \")}function vt(e){return e.getAttribute&&e.getAttribute(\"class\")||\"\"}function yt(e){return Array.isArray(e)?e:\"string\"==typeof e&&e.match(O)||[]}b.fn.extend({prop:function(e,t){return B(this,b.prop,e,t,arguments.length>1)},removeProp:function(e){return this.each((function(){delete this[b.propFix[e]||e]}))}}),b.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&b.isXMLDoc(e)||(t=b.propFix[t]||t,i=b.propHooks[t]),void 0!==n?i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&\"get\"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=b.find.attr(e,\"tabindex\");return t?parseInt(t,10):dt.test(e.nodeName)||ht.test(e.nodeName)&&e.href?0:-1}}},propFix:{for:\"htmlFor\",class:\"className\"}}),d.optSelected||(b.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),b.each([\"tabIndex\",\"readOnly\",\"maxLength\",\"cellSpacing\",\"cellPadding\",\"rowSpan\",\"colSpan\",\"useMap\",\"frameBorder\",\"contentEditable\"],(function(){b.propFix[this.toLowerCase()]=this})),b.fn.extend({addClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).addClass(e.call(this,t,vt(this)))}));if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)r.indexOf(\" \"+o+\" \")<0&&(r+=o+\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},removeClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).removeClass(e.call(this,t,vt(this)))}));if(!arguments.length)return this.attr(\"class\",\"\");if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)for(;r.indexOf(\" \"+o+\" \")>-1;)r=r.replace(\" \"+o+\" \",\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},toggleClass:function(e,t){var n=typeof e,r=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&r?t?this.addClass(e):this.removeClass(e):h(e)?this.each((function(n){b(this).toggleClass(e.call(this,n,vt(this),t),t)})):this.each((function(){var t,i,o,a;if(r)for(i=0,o=b(this),a=yt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=vt(this))&&G.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":G.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+gt(vt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var mt=/\\r/g;b.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=h(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,b(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=b.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=b.valHooks[this.type]||b.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=b.valHooks[i.type]||b.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 0!==(n=t.get(i,\"value\"))?n:\"string\"==typeof(n=i.value)?n.replace(mt,\"\"):null==n?\"\":n:void 0}}),b.extend({valHooks:{option:{get:function(e){var t=b.find.attr(e,\"value\");return null!=t?t:gt(b.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a=\"select-one\"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r-1)&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),b.each([\"radio\",\"checkbox\"],(function(){b.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=b.inArray(b(e).val(),t)>-1}},d.checkOn||(b.valHooks[this].get=function(e){return null===e.getAttribute(\"value\")?\"on\":e.value})})),d.focusin=\"onfocusin\"in e;var xt=/^(?:focusinfocus|focusoutblur)$/,bt=function(e){e.stopPropagation()};b.extend(b.event,{trigger:function(t,n,r,i){var o,a,s,u,l,f,p,d,y=[r||v],m=c.call(t,\"type\")?t.type:t,x=c.call(t,\"namespace\")?t.namespace.split(\".\"):[];if(a=d=s=r=r||v,3!==r.nodeType&&8!==r.nodeType&&!xt.test(m+b.event.triggered)&&(m.indexOf(\".\")>-1&&(x=m.split(\".\"),m=x.shift(),x.sort()),l=m.indexOf(\":\")<0&&\"on\"+m,(t=t[b.expando]?t:new b.Event(m,\"object\"==typeof t&&t)).isTrigger=i?2:3,t.namespace=x.join(\".\"),t.rnamespace=t.namespace?new RegExp(\"(^|\\\\.)\"+x.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"):null,t.result=void 0,t.target||(t.target=r),n=null==n?[t]:b.makeArray(n,[t]),p=b.event.special[m]||{},i||!p.trigger||!1!==p.trigger.apply(r,n))){if(!i&&!p.noBubble&&!g(r)){for(u=p.delegateType||m,xt.test(u+m)||(a=a.parentNode);a;a=a.parentNode)y.push(a),s=a;s===(r.ownerDocument||v)&&y.push(s.defaultView||s.parentWindow||e)}for(o=0;(a=y[o++])&&!t.isPropagationStopped();)d=a,t.type=o>1?u:p.bindType||m,(f=(G.get(a,\"events\")||Object.create(null))[t.type]&&G.get(a,\"handle\"))&&f.apply(a,n),(f=l&&a[l])&&f.apply&&X(a)&&(t.result=f.apply(a,n),!1===t.result&&t.preventDefault());return t.type=m,i||t.isDefaultPrevented()||p._default&&!1!==p._default.apply(y.pop(),n)||!X(r)||l&&h(r[m])&&!g(r)&&((s=r[l])&&(r[l]=null),b.event.triggered=m,t.isPropagationStopped()&&d.addEventListener(m,bt),r[m](),t.isPropagationStopped()&&d.removeEventListener(m,bt),b.event.triggered=void 0,s&&(r[l]=s)),t.result}},simulate:function(e,t,n){var r=b.extend(new b.Event,n,{type:e,isSimulated:!0});b.event.trigger(r,null,t)}}),b.fn.extend({trigger:function(e,t){return this.each((function(){b.event.trigger(e,t,this)}))},triggerHandler:function(e,t){var n=this[0];if(n)return b.event.trigger(e,t,n,!0)}}),d.focusin||b.each({focus:\"focusin\",blur:\"focusout\"},(function(e,t){var n=function(e){b.event.simulate(t,e.target,b.event.fix(e))};b.event.special[t]={setup:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t);i||r.addEventListener(e,n,!0),G.access(r,t,(i||0)+1)},teardown:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t)-1;i?G.access(r,t,i):(r.removeEventListener(e,n,!0),G.remove(r,t))}}}));var wt=e.location,Tt={guid:Date.now()},Ct=/\\?/;b.parseXML=function(t){var n;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){n=void 0}return n&&!n.getElementsByTagName(\"parsererror\").length||b.error(\"Invalid XML: \"+t),n};var Et=/\\[\\]$/,St=/\\r?\\n/g,kt=/^(?:submit|button|image|reset|file)$/i,At=/^(?:input|select|textarea|keygen)/i;function Nt(e,t,n,r){var i;if(Array.isArray(t))b.each(t,(function(t,i){n||Et.test(e)?r(e,i):Nt(e+\"[\"+(\"object\"==typeof i&&null!=i?t:\"\")+\"]\",i,n,r)}));else if(n||\"object\"!==x(t))r(e,t);else for(i in t)Nt(e+\"[\"+i+\"]\",t[i],n,r)}b.param=function(e,t){var n,r=[],i=function(e,t){var n=h(t)?t():t;r[r.length]=encodeURIComponent(e)+\"=\"+encodeURIComponent(null==n?\"\":n)};if(null==e)return\"\";if(Array.isArray(e)||e.jquery&&!b.isPlainObject(e))b.each(e,(function(){i(this.name,this.value)}));else for(n in e)Nt(n,e[n],t,i);return r.join(\"&\")},b.fn.extend({serialize:function(){return b.param(this.serializeArray())},serializeArray:function(){return this.map((function(){var e=b.prop(this,\"elements\");return e?b.makeArray(e):this})).filter((function(){var e=this.type;return this.name&&!b(this).is(\":disabled\")&&At.test(this.nodeName)&&!kt.test(e)&&(this.checked||!pe.test(e))})).map((function(e,t){var n=b(this).val();return null==n?null:Array.isArray(n)?b.map(n,(function(e){return{name:t.name,value:e.replace(St,\"\\r\\n\")}})):{name:t.name,value:n.replace(St,\"\\r\\n\")}})).get()}});var Dt=/%20/g,jt=/#.*$/,qt=/([?&])_=[^&]*/,Lt=/^(.*?):[ \\t]*([^\\r\\n]*)$/gm,Ht=/^(?:GET|HEAD)$/,Ot=/^\\/\\//,Pt={},Rt={},Mt=\"*/\".concat(\"*\"),It=v.createElement(\"a\");function Wt(e){return function(t,n){\"string\"!=typeof t&&(n=t,t=\"*\");var r,i=0,o=t.toLowerCase().match(O)||[];if(h(n))for(;r=o[i++];)\"+\"===r[0]?(r=r.slice(1)||\"*\",(e[r]=e[r]||[]).unshift(n)):(e[r]=e[r]||[]).push(n)}}function Ft(e,t,n,r){var i={},o=e===Rt;function a(s){var u;return i[s]=!0,b.each(e[s]||[],(function(e,s){var l=s(t,n,r);return\"string\"!=typeof l||o||i[l]?o?!(u=l):void 0:(t.dataTypes.unshift(l),a(l),!1)})),u}return a(t.dataTypes[0])||!i[\"*\"]&&a(\"*\")}function Bt(e,t){var n,r,i=b.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&b.extend(!0,e,r),e}It.href=wt.href,b.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:wt.href,type:\"GET\",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(wt.protocol),global:!0,processData:!0,async:!0,contentType:\"application/x-www-form-urlencoded; charset=UTF-8\",accepts:{\"*\":Mt,text:\"text/plain\",html:\"text/html\",xml:\"application/xml, text/xml\",json:\"application/json, text/javascript\"},contents:{xml:/\\bxml\\b/,html:/\\bhtml/,json:/\\bjson\\b/},responseFields:{xml:\"responseXML\",text:\"responseText\",json:\"responseJSON\"},converters:{\"* text\":String,\"text html\":!0,\"text json\":JSON.parse,\"text xml\":b.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Bt(Bt(e,b.ajaxSettings),t):Bt(b.ajaxSettings,e)},ajaxPrefilter:Wt(Pt),ajaxTransport:Wt(Rt),ajax:function(t,n){\"object\"==typeof t&&(n=t,t=void 0),n=n||{};var r,i,o,a,s,u,l,c,f,p,d=b.ajaxSetup({},n),h=d.context||d,g=d.context&&(h.nodeType||h.jquery)?b(h):b.event,y=b.Deferred(),m=b.Callbacks(\"once memory\"),x=d.statusCode||{},w={},T={},C=\"canceled\",E={readyState:0,getResponseHeader:function(e){var t;if(l){if(!a)for(a={};t=Lt.exec(o);)a[t[1].toLowerCase()+\" \"]=(a[t[1].toLowerCase()+\" \"]||[]).concat(t[2]);t=a[e.toLowerCase()+\" \"]}return null==t?null:t.join(\", \")},getAllResponseHeaders:function(){return l?o:null},setRequestHeader:function(e,t){return null==l&&(e=T[e.toLowerCase()]=T[e.toLowerCase()]||e,w[e]=t),this},overrideMimeType:function(e){return null==l&&(d.mimeType=e),this},statusCode:function(e){var t;if(e)if(l)E.always(e[E.status]);else for(t in e)x[t]=[x[t],e[t]];return this},abort:function(e){var t=e||C;return r&&r.abort(t),S(0,t),this}};if(y.promise(E),d.url=((t||d.url||wt.href)+\"\").replace(Ot,wt.protocol+\"//\"),d.type=n.method||n.type||d.method||d.type,d.dataTypes=(d.dataType||\"*\").toLowerCase().match(O)||[\"\"],null==d.crossDomain){u=v.createElement(\"a\");try{u.href=d.url,u.href=u.href,d.crossDomain=It.protocol+\"//\"+It.host!=u.protocol+\"//\"+u.host}catch(e){d.crossDomain=!0}}if(d.data&&d.processData&&\"string\"!=typeof d.data&&(d.data=b.param(d.data,d.traditional)),Ft(Pt,d,n,E),l)return E;for(f in(c=b.event&&d.global)&&0==b.active++&&b.event.trigger(\"ajaxStart\"),d.type=d.type.toUpperCase(),d.hasContent=!Ht.test(d.type),i=d.url.replace(jt,\"\"),d.hasContent?d.data&&d.processData&&0===(d.contentType||\"\").indexOf(\"application/x-www-form-urlencoded\")&&(d.data=d.data.replace(Dt,\"+\")):(p=d.url.slice(i.length),d.data&&(d.processData||\"string\"==typeof d.data)&&(i+=(Ct.test(i)?\"&\":\"?\")+d.data,delete d.data),!1===d.cache&&(i=i.replace(qt,\"$1\"),p=(Ct.test(i)?\"&\":\"?\")+\"_=\"+Tt.guid+++p),d.url=i+p),d.ifModified&&(b.lastModified[i]&&E.setRequestHeader(\"If-Modified-Since\",b.lastModified[i]),b.etag[i]&&E.setRequestHeader(\"If-None-Match\",b.etag[i])),(d.data&&d.hasContent&&!1!==d.contentType||n.contentType)&&E.setRequestHeader(\"Content-Type\",d.contentType),E.setRequestHeader(\"Accept\",d.dataTypes[0]&&d.accepts[d.dataTypes[0]]?d.accepts[d.dataTypes[0]]+(\"*\"!==d.dataTypes[0]?\", \"+Mt+\"; q=0.01\":\"\"):d.accepts[\"*\"]),d.headers)E.setRequestHeader(f,d.headers[f]);if(d.beforeSend&&(!1===d.beforeSend.call(h,E,d)||l))return E.abort();if(C=\"abort\",m.add(d.complete),E.done(d.success),E.fail(d.error),r=Ft(Rt,d,n,E)){if(E.readyState=1,c&&g.trigger(\"ajaxSend\",[E,d]),l)return E;d.async&&d.timeout>0&&(s=e.setTimeout((function(){E.abort(\"timeout\")}),d.timeout));try{l=!1,r.send(w,S)}catch(e){if(l)throw e;S(-1,e)}}else S(-1,\"No Transport\");function S(t,n,a,u){var f,p,v,w,T,C=n;l||(l=!0,s&&e.clearTimeout(s),r=void 0,o=u||\"\",E.readyState=t>0?4:0,f=t>=200&&t<300||304===t,a&&(w=function(e,t,n){for(var r,i,o,a,s=e.contents,u=e.dataTypes;\"*\"===u[0];)u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader(\"Content-Type\"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+\" \"+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(d,E,a)),!f&&b.inArray(\"script\",d.dataTypes)>-1&&(d.converters[\"text script\"]=function(){}),w=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];for(o=c.shift();o;)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if(\"*\"===o)o=u;else if(\"*\"!==u&&u!==o){if(!(a=l[u+\" \"+o]||l[\"* \"+o]))for(i in l)if((s=i.split(\" \"))[1]===o&&(a=l[u+\" \"+s[0]]||l[\"* \"+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e.throws)t=a(t);else try{t=a(t)}catch(e){return{state:\"parsererror\",error:a?e:\"No conversion from \"+u+\" to \"+o}}}return{state:\"success\",data:t}}(d,w,E,f),f?(d.ifModified&&((T=E.getResponseHeader(\"Last-Modified\"))&&(b.lastModified[i]=T),(T=E.getResponseHeader(\"etag\"))&&(b.etag[i]=T)),204===t||\"HEAD\"===d.type?C=\"nocontent\":304===t?C=\"notmodified\":(C=w.state,p=w.data,f=!(v=w.error))):(v=C,!t&&C||(C=\"error\",t<0&&(t=0))),E.status=t,E.statusText=(n||C)+\"\",f?y.resolveWith(h,[p,C,E]):y.rejectWith(h,[E,C,v]),E.statusCode(x),x=void 0,c&&g.trigger(f?\"ajaxSuccess\":\"ajaxError\",[E,d,f?p:v]),m.fireWith(h,[E,C]),c&&(g.trigger(\"ajaxComplete\",[E,d]),--b.active||b.event.trigger(\"ajaxStop\")))}return E},getJSON:function(e,t,n){return b.get(e,t,n,\"json\")},getScript:function(e,t){return b.get(e,void 0,t,\"script\")}}),b.each([\"get\",\"post\"],(function(e,t){b[t]=function(e,n,r,i){return h(n)&&(i=i||r,r=n,n=void 0),b.ajax(b.extend({url:e,type:t,dataType:i,data:n,success:r},b.isPlainObject(e)&&e))}})),b.ajaxPrefilter((function(e){var t;for(t in e.headers)\"content-type\"===t.toLowerCase()&&(e.contentType=e.headers[t]||\"\")})),b._evalUrl=function(e,t,n){return b.ajax({url:e,type:\"GET\",dataType:\"script\",cache:!0,async:!1,global:!1,converters:{\"text script\":function(){}},dataFilter:function(e){b.globalEval(e,t,n)}})},b.fn.extend({wrapAll:function(e){var t;return this[0]&&(h(e)&&(e=e.call(this[0])),t=b(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map((function(){for(var e=this;e.firstElementChild;)e=e.firstElementChild;return e})).append(this)),this},wrapInner:function(e){return h(e)?this.each((function(t){b(this).wrapInner(e.call(this,t))})):this.each((function(){var t=b(this),n=t.contents();n.length?n.wrapAll(e):t.append(e)}))},wrap:function(e){var t=h(e);return this.each((function(n){b(this).wrapAll(t?e.call(this,n):e)}))},unwrap:function(e){return this.parent(e).not(\"body\").each((function(){b(this).replaceWith(this.childNodes)})),this}}),b.expr.pseudos.hidden=function(e){return!b.expr.pseudos.visible(e)},b.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},b.ajaxSettings.xhr=function(){try{return new e.XMLHttpRequest}catch(e){}};var $t={0:200,1223:204},_t=b.ajaxSettings.xhr();d.cors=!!_t&&\"withCredentials\"in _t,d.ajax=_t=!!_t,b.ajaxTransport((function(t){var n,r;if(d.cors||_t&&!t.crossDomain)return{send:function(i,o){var a,s=t.xhr();if(s.open(t.type,t.url,t.async,t.username,t.password),t.xhrFields)for(a in t.xhrFields)s[a]=t.xhrFields[a];for(a in t.mimeType&&s.overrideMimeType&&s.overrideMimeType(t.mimeType),t.crossDomain||i[\"X-Requested-With\"]||(i[\"X-Requested-With\"]=\"XMLHttpRequest\"),i)s.setRequestHeader(a,i[a]);n=function(e){return function(){n&&(n=r=s.onload=s.onerror=s.onabort=s.ontimeout=s.onreadystatechange=null,\"abort\"===e?s.abort():\"error\"===e?\"number\"!=typeof s.status?o(0,\"error\"):o(s.status,s.statusText):o($t[s.status]||s.status,s.statusText,\"text\"!==(s.responseType||\"text\")||\"string\"!=typeof s.responseText?{binary:s.response}:{text:s.responseText},s.getAllResponseHeaders()))}},s.onload=n(),r=s.onerror=s.ontimeout=n(\"error\"),void 0!==s.onabort?s.onabort=r:s.onreadystatechange=function(){4===s.readyState&&e.setTimeout((function(){n&&r()}))},n=n(\"abort\");try{s.send(t.hasContent&&t.data||null)}catch(e){if(n)throw e}},abort:function(){n&&n()}}})),b.ajaxPrefilter((function(e){e.crossDomain&&(e.contents.script=!1)})),b.ajaxSetup({accepts:{script:\"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript\"},contents:{script:/\\b(?:java|ecma)script\\b/},converters:{\"text script\":function(e){return b.globalEval(e),e}}}),b.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),b.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=b(\"" - ], - "text/plain": [ - ":DynamicMap [time]\n", - " :QuadMesh [lat,lon] (tas)" - ] - }, - "execution_count": 5, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1001" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "%%opts QuadMesh [width=800 height=500 colorbar=True] (cmap='magma') \n", - "regrid(qm, precompute=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Calculate time and zonal mean of the temperature\n", - "\n", - "Here we make a big reduction by taking the time mean of the temperature. " - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'tas' (lat: 360, lon: 576)>\n",
-       "array([[226.05829, 226.05301, 226.04765, ..., 226.07439, 226.06895,\n",
-       "        226.06358],\n",
-       "       [226.74783, 226.73782, 226.72766, ..., 226.77774, 226.76778,\n",
-       "        226.75774],\n",
-       "       [227.52614, 227.51164, 227.49727, ..., 227.56943, 227.55519,\n",
-       "        227.54076],\n",
-       "       ...,\n",
-       "       [258.0474 , 258.05066, 258.0541 , ..., 258.03735, 258.04077,\n",
-       "        258.0441 ],\n",
-       "       [258.00436, 258.0061 , 258.00775, ..., 257.999  , 258.00095,\n",
-       "        258.0026 ],\n",
-       "       [257.95193, 257.95258, 257.95312, ..., 257.9508 , 257.95123,\n",
-       "        257.95175]], dtype=float32)\n",
-       "Coordinates:\n",
-       "    height   float64 2.0\n",
-       "  * lat      (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
-       "  * lon      (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7
" - ], - "text/plain": [ - "\n", - "array([[226.05829, 226.05301, 226.04765, ..., 226.07439, 226.06895,\n", - " 226.06358],\n", - " [226.74783, 226.73782, 226.72766, ..., 226.77774, 226.76778,\n", - " 226.75774],\n", - " [227.52614, 227.51164, 227.49727, ..., 227.56943, 227.55519,\n", - " 227.54076],\n", - " ...,\n", - " [258.0474 , 258.05066, 258.0541 , ..., 258.03735, 258.04077,\n", - " 258.0441 ],\n", - " [258.00436, 258.0061 , 258.00775, ..., 257.999 , 258.00095,\n", - " 258.0026 ],\n", - " [257.95193, 257.95258, 257.95312, ..., 257.9508 , 257.95123,\n", - " 257.95175]], dtype=float32)\n", - "Coordinates:\n", - " height float64 2.0\n", - " * lat (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n", - " * lon (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "tas_mean = ds.tas.mean(dim=('time'))\n", - "tas_mean" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Depending on the size of your cluster, this next cell may take a while. " - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 253 µs, sys: 0 ns, total: 253 µs\n", - "Wall time: 233 µs\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'tas' (lat: 360, lon: 576)>\n",
-       "array([[226.05829, 226.05301, 226.04765, ..., 226.07439, 226.06895,\n",
-       "        226.06358],\n",
-       "       [226.74783, 226.73782, 226.72766, ..., 226.77774, 226.76778,\n",
-       "        226.75774],\n",
-       "       [227.52614, 227.51164, 227.49727, ..., 227.56943, 227.55519,\n",
-       "        227.54076],\n",
-       "       ...,\n",
-       "       [258.0474 , 258.05066, 258.0541 , ..., 258.03735, 258.04077,\n",
-       "        258.0441 ],\n",
-       "       [258.00436, 258.0061 , 258.00775, ..., 257.999  , 258.00095,\n",
-       "        258.0026 ],\n",
-       "       [257.95193, 257.95258, 257.95312, ..., 257.9508 , 257.95123,\n",
-       "        257.95175]], dtype=float32)\n",
-       "Coordinates:\n",
-       "    height   float64 2.0\n",
-       "  * lat      (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n",
-       "  * lon      (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7
" - ], - "text/plain": [ - "\n", - "array([[226.05829, 226.05301, 226.04765, ..., 226.07439, 226.06895,\n", - " 226.06358],\n", - " [226.74783, 226.73782, 226.72766, ..., 226.77774, 226.76778,\n", - " 226.75774],\n", - " [227.52614, 227.51164, 227.49727, ..., 227.56943, 227.55519,\n", - " 227.54076],\n", - " ...,\n", - " [258.0474 , 258.05066, 258.0541 , ..., 258.03735, 258.04077,\n", - " 258.0441 ],\n", - " [258.00436, 258.0061 , 258.00775, ..., 257.999 , 258.00095,\n", - " 258.0026 ],\n", - " [257.95193, 257.95258, 257.95312, ..., 257.9508 , 257.95123,\n", - " 257.95175]], dtype=float32)\n", - "Coordinates:\n", - " height float64 2.0\n", - " * lat (lat) float64 -89.75 -89.25 -88.75 -88.25 ... 88.75 89.25 89.75\n", - " * lon (lon) float64 0.3125 0.9375 1.562 2.188 ... 357.8 358.4 359.1 359.7" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time tas_mean.load()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/dk92/packages/xarray/plot/utils.py:624: MatplotlibDeprecationWarning: The 'extend' parameter to Colorbar has no effect because it is overridden by the mappable; it is deprecated since 3.3 and will be removed two minor releases later.\n", - " cbar = fig.colorbar(primitive, **cbar_kwargs)\n" - ] - }, - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Naive Mean Temperature')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(16,8))\n", - "tas_mean.plot.contourf(yincrease=False)\n", - "plt.title('Naive Mean Temperature')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_11_diagnositc_tools-checkpoint.ipynb b/.ipynb_checkpoints/Dask_11_diagnositc_tools-checkpoint.ipynb deleted file mode 100755 index 8b2fdc0..0000000 --- a/.ipynb_checkpoints/Dask_11_diagnositc_tools-checkpoint.ipynb +++ /dev/null @@ -1,2363 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask Diagnostic Tools" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook we demonstrate a few diagnostic tools to examine the code excuation and performance. \n", - "\n", - "* Visualize task graphs\n", - "* Local diagnostics tools\n", - "* Distributed diagnostics tools\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Diagnostics\n", - "- Create Date: 2020-June\n", - "- Lineage/Reference: This tutorial is developed based on [Dask documentation](https://docs.dask.org/en/latest/understanding-performance.html).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Dask offer code profiling tools\n", - "\n", - "The first step in making computations run quickly is to understand the costs involved. The Dask schedulers come with diagnostics to help you understand the performance characteristics of your computations. By using these diagnostics and with some thoughts, we can often identify the slow parts of troublesome computations." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Visualize task graphs" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.array as da\n", - "import graphviz\n", - "x = da.ones((15,15), chunks=(5,5))\n", - "y = x + x.T\n", - "y.visualize()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "z = x.dot(x.T + 1) - x.mean(axis=0)\n", - "z.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Diagnostics (local)\n", - "\n", - "`Dask.diagnostics` provides functionality to aid in profiling and inspecting execution with the local task scheduler.\n", - "\n", - "This notebook describes the following built-in options:\n", - "\n", - "- ProgressBar\n", - "- Profiler\n", - "- ResourceProfiler\n", - "- CacheProfiler" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Progress Bar\n", - "\n", - "The `ProgressBar` class builds on the scheduler callbacks described above to display a progress bar in the terminal or notebook during computation. This can provide useful feedback during long running graph executions. It can be used as a context manager around calls to `get` or `compute` to profile the computation:" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[########################################] | 100% Completed | 4.5s\n" - ] - } - ], - "source": [ - "from dask.diagnostics import ProgressBar\n", - "a = da.random.normal(size=(10000, 10000), chunks=(5000, 5000))\n", - "res = a.dot(a.T).mean(axis=0)\n", - "\n", - "with ProgressBar():\n", - " out = res.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "or registered globally using the `register` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[########################################] | 100% Completed | 4.5s\n" - ] - } - ], - "source": [ - "pbar = ProgressBar()\n", - "pbar.register()\n", - "out = res.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To unregister from the global callbacks, call the `unregister` method:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "pbar.unregister()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Profiler - A profiler for task excution at task level\n", - "\n", - "Dask provides a few tools for profiling execution. As with the `ProgressBar`, they can be used as context managers or registered globally.\n", - "\n", - "The `Profiler` class is used to profile Dask’s execution at the task level. During execution, it records the following information for each task:\n", - "\n", - "1. Key\n", - "2. Task\n", - "3. Start time in seconds since the epoch\n", - "4. Finish time in seconds since the epoch\n", - "5. Worker id\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### ResourceProfiler - A profile for resource use" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The `ResourceProfiler` class is used to profile Dask’s execution at the resource level. During execution, it records the following information for each timestep:\n", - "\n", - "1. Time in seconds since the epoch\n", - "2. Memory usage in MB\n", - "3. % CPU usage" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### CacheProfiler - A profiler for dask execution at the scheduler cache level.\n", - "\n", - "The `CacheProfiler` class is used to profile Dask’s execution at the scheduler cache level. During execution, it records the following information for each task:\n", - "\n", - "1. Key\n", - "2. Task\n", - "3. Size metric\n", - "4. Cache entry time in seconds since the epoch\n", - "5. Cache exit time in seconds since the epoch" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Example\n", - "\n", - "As an example to demonstrate using the diagnostics, we’ll profile some arithmetic operation on CMIP6 datasets. Note that since the profilers (and all diagnostics) are just context managers, multiple profilers can be used in a `with` block:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "import xarray as xr\n", - "EnsNum=2\n", - "DS=[]\n", - "for i in range(1,EnsNum+1): #loop through ensemble members\n", - " #concatenate data on time coordinate\n", - " data=xr.open_mfdataset('/g/data/fs38/publications/CMIP6/CMIP/CSIRO-ARCCSS/ACCESS-CM2/historical/r'+str(i)+'i1p1f1/day/pr/gn/v*/pr_day_ACCESS-CM2_historical_r'+str(i)+'i1p1f1_gn_*.nc',combine='nested', concat_dim='time' )\n", - " DS.append(data)\n", - "ds=xr.concat([DS[i] for i in range(EnsNum)],'ensemble')\n", - "pr_mean = ds['pr'].mean(dim='time')\n", - "spread = (pr_mean.max(dim='ensemble')\n", - " - pr_mean.min(dim='ensemble'))\n", - "\n", - "with Profiler() as prof, ResourceProfiler(dt=0.25) as rprof, CacheProfiler() as cprof:\n", - " spread = spread.persist()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The results of each profiler are stored in their `results` attribute as a list of `namedtuple` objects, for example:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "TaskData(key=('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 1, 0, 0), task=(, 'open_dataset-26c4b7917d36c627f6ea343aad0f926dpr-b583f940d850da0c1bacab6df08a7bda', (slice(0, 18262, None), slice(0, 144, None), slice(0, 192, None))), start_time=1480991.809835322, end_time=1481015.591533548, worker_id=22981113710336)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prof.results[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "ResourceData(time=1480991.844693699, mem=1462.734848, cpu=0.0)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "rprof.results[0]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "These can be analysed separately or viewed in a Bokeh plot using the provided `visualize` method on each profiler:" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "CacheData(key=('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 0, 0, 0), task=(, 'open_dataset-fe3145e44607a9dd25a31deee90153f8pr-8ca9743603ba551c02b303139e8b1835', (slice(0, 18262, None), slice(0, 144, None), slice(0, 192, None))), metric=1, cache_time=1481004.275087605, free_time=1481004.275657363)" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "cprof.results[0]" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "" - ], - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout = Date.now() + 5000;\n", - " root._bokeh_failed_load = false;\n", - " }\n", - "\n", - " function run_callbacks() {\n", - " try {\n", - " root._bokeh_onload_callbacks.forEach(function(callback) {\n", - " if (callback != null)\n", - " callback();\n", - " });\n", - " } finally {\n", - " delete root._bokeh_onload_callbacks\n", - " }\n", - " console.debug(\"Bokeh: all callbacks have finished\");\n", - " }\n", - "\n", - " function load_libs(css_urls, js_urls, callback) {\n", - " if (css_urls == null) css_urls = [];\n", - " if (js_urls == null) js_urls = [];\n", - "\n", - " root._bokeh_onload_callbacks.push(callback);\n", - " if (root._bokeh_is_loading > 0) {\n", - " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", - " return null;\n", - " }\n", - " if (js_urls == null || js_urls.length === 0) {\n", - " run_callbacks();\n", - " return null;\n", - " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", - "\n", - " function on_load() {\n", - " root._bokeh_is_loading--;\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", - " run_callbacks()\n", - " }\n", - " }\n", - "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", - " }\n", - "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " const element = document.createElement(\"link\");\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.rel = \"stylesheet\";\n", - " element.type = \"text/css\";\n", - " element.href = url;\n", - " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " if (window.requirejs) {\n", - " require([], function() {\n", - " run_callbacks();\n", - " })\n", - " } else {\n", - " var skip = [];\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", - " var element = document.createElement('script');\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.async = false;\n", - " element.src = url;\n", - " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", - " document.head.appendChild(element);\n", - " }\n", - " }\n", - " };\n", - "\n", - " function inject_raw_css(css) {\n", - " const element = document.createElement(\"style\");\n", - " element.appendChild(document.createTextNode(css));\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " var js_urls = [];\n", - " var css_urls = [];\n", - "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", - " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " /* BEGIN bokeh.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " const bokeh = factory();\n", - " if (root.Bokeh === undefined) {\n", - " root.Bokeh = bokeh;\n", - " }\n", - " const Bokeh = root.Bokeh;\n", - " Bokeh[bokeh.version] = bokeh;\n", - " })(this, function() {\n", - " var define;\n", - " var parent_require = typeof require === \"function\" && require\n", - " return (function(modules, entry, aliases, externals) {\n", - " if (aliases === undefined) aliases = {};\n", - " if (externals === undefined) externals = {};\n", - "\n", - " var cache = {};\n", - "\n", - " var normalize = function(name) {\n", - " if (typeof name === \"number\")\n", - " return name;\n", - "\n", - " if (name === \"bokehjs\")\n", - " return entry;\n", - "\n", - " var prefix = \"@bokehjs/\"\n", - " if (name.slice(0, prefix.length) === prefix)\n", - " name = name.slice(prefix.length)\n", - "\n", - " var alias = aliases[name]\n", - " if (alias != null)\n", - " return alias;\n", - "\n", - " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", - " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", - " if (index != null)\n", - " return index;\n", - "\n", - " return name;\n", - " }\n", - "\n", - " var require = function(name) {\n", - " var mod = cache[name];\n", - " if (!mod) {\n", - " var id = normalize(name);\n", - "\n", - " mod = cache[id];\n", - " if (!mod) {\n", - " if (!modules[id]) {\n", - " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", - " try {\n", - " mod = {exports: externals[id] ? parent_require(id) : {}};\n", - " cache[id] = cache[name] = mod;\n", - " return mod.exports;\n", - " } catch (e) {}\n", - " }\n", - "\n", - " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", - " err.code = 'MODULE_NOT_FOUND';\n", - " throw err;\n", - " }\n", - "\n", - " mod = {exports: {}};\n", - " cache[id] = cache[name] = mod;\n", - " modules[id].call(mod.exports, require, mod, mod.exports);\n", - " } else\n", - " cache[name] = mod;\n", - " }\n", - "\n", - " return mod.exports;\n", - " }\n", - "\n", - " var main = require(entry);\n", - " main.require = require;\n", - "\n", - " if (typeof Proxy !== \"undefined\") {\n", - " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", - " main.loader = new Proxy({}, {\n", - " get: function(_obj, module) {\n", - " return require(module);\n", - " }\n", - " });\n", - " }\n", - "\n", - " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", - " if (plugin_aliases === undefined) plugin_aliases = {};\n", - " if (plugin_externals === undefined) plugin_externals = {};\n", - "\n", - " for (var name in plugin_modules) {\n", - " modules[name] = plugin_modules[name];\n", - " }\n", - "\n", - " for (var name in plugin_aliases) {\n", - " aliases[name] = plugin_aliases[name];\n", - " }\n", - "\n", - " for (var name in plugin_externals) {\n", - " externals[name] = plugin_externals[name];\n", - " }\n", - "\n", - " var plugin = require(plugin_entry);\n", - "\n", - " for (var name in plugin) {\n", - " main[name] = plugin[name];\n", - " }\n", - "\n", - " return plugin;\n", - " }\n", - "\n", - " return main;\n", - " })\n", - " ([\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n", - " function _(t,e,n){\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */\n", - " Object.defineProperty(n,\"__esModule\",{value:!0});var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function a(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,a=n.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)i.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(o)throw o.error}}return i}function i(t){return this instanceof i?(this.v=t,this):new i(t)}n.__extends=function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)},n.__assign=function(){return n.__assign=Object.assign||function(t){for(var e,n=1,r=arguments.length;n=0;u--)(o=t[u])&&(i=(a<3?o(i):a>3?o(e,n,i):o(e,n))||i);return a>3&&i&&Object.defineProperty(e,n,i),i},n.__param=function(t,e){return function(n,r){e(n,r,t)}},n.__metadata=function(t,e){if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.metadata)return Reflect.metadata(t,e)},n.__awaiter=function(t,e,n,r){return new(n||(n=Promise))((function(o,a){function i(t){try{c(r.next(t))}catch(t){a(t)}}function u(t){try{c(r.throw(t))}catch(t){a(t)}}function c(t){var e;t.done?o(t.value):(e=t.value,e instanceof n?e:new n((function(t){t(e)}))).then(i,u)}c((r=r.apply(t,e||[])).next())}))},n.__generator=function(t,e){var n,r,o,a,i={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return a={next:u(0),throw:u(1),return:u(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function u(a){return function(u){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(n=1,r&&(o=2&a[0]?r.return:a[0]?r.throw||((o=r.return)&&o.call(r),0):r.next)&&!(o=o.call(r,a[1])).done)return o;switch(r=0,o&&(a=[2&a[0],o.value]),a[0]){case 0:case 1:o=a;break;case 4:return i.label++,{value:a[1],done:!1};case 5:i.label++,r=a[1],a=[0];continue;case 7:a=i.ops.pop(),i.trys.pop();continue;default:if(!(o=i.trys,(o=o.length>0&&o[o.length-1])||6!==a[0]&&2!==a[0])){i=0;continue}if(3===a[0]&&(!o||a[1]>o[0]&&a[1]1||c(t,e)}))})}function c(t,e){try{(n=o[t](e)).value instanceof i?Promise.resolve(n.value.v).then(f,l):s(a[0][2],n)}catch(t){s(a[0][3],t)}var n}function f(t){c(\"next\",t)}function l(t){c(\"throw\",t)}function s(t,e){t(e),a.shift(),a.length&&c(a[0][0],a[0][1])}},n.__asyncDelegator=function(t){var e,n;return e={},r(\"next\"),r(\"throw\",(function(t){throw t})),r(\"return\"),e[Symbol.iterator]=function(){return this},e;function r(r,o){e[r]=t[r]?function(e){return(n=!n)?{value:i(t[r](e)),done:\"return\"===r}:o?o(e):e}:o}},n.__asyncValues=function(t){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var e,n=t[Symbol.asyncIterator];return n?n.call(t):(t=o(t),e={},r(\"next\"),r(\"throw\"),r(\"return\"),e[Symbol.asyncIterator]=function(){return this},e);function r(n){e[n]=t[n]&&function(e){return new Promise((function(r,o){(function(t,e,n,r){Promise.resolve(r).then((function(e){t({value:e,done:n})}),e)})(r,o,(e=t[n](e)).done,e.value)}))}}},n.__makeTemplateObject=function(t,e){return Object.defineProperty?Object.defineProperty(t,\"raw\",{value:e}):t.raw=e,t},n.__importStar=function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var n in t)Object.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e.default=t,e},n.__importDefault=function(t){return t&&t.__esModule?t:{default:t}},n.__classPrivateFieldGet=function(t,e){if(!e.has(t))throw new TypeError(\"attempted to get private field on non-instance\");return e.get(t)},n.__classPrivateFieldSet=function(t,e,n){if(!e.has(t))throw new TypeError(\"attempted to set private field on non-instance\");return e.set(t,n),n}},\n", - " function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(354)),t._testing=l(e(355));var n=e(70);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(23);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(356);t.safely=_.safely},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.0.2\"},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(70),d=e(26),r=e(8),_=e(17),c=e(345),i=e(347),a=e(346);var u=e(345);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(347);n.add_document_from_session=l.add_document_from_session;var m=e(352);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(346);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(`embed: computed ws url: ${d}`);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(103),_)},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(7),n=e(3),i=e(70),r=e(281),_=e(13),l=e(14),a=e(25),c=e(100),d=e(15),h=e(9),f=e(24),u=e(16),m=e(8),g=e(244),v=e(73),p=e(69),w=e(103);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new w.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models){if(null!=e.origin&&e.origin.id!==t)continue;const s=this.document._all_models[t];null!=s&&s instanceof p.Model&&s._process_event(e)}}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models={},this._all_models_by_name=new d.MultiDict,this._all_models_freeze_count=0,this._callbacks=[],this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new r.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new r.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=h.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(`Somehow we didn't detach ${e}`);if(0!==Object.keys(this._all_models).length)throw new Error(`this._all_models still had stuff in it: ${this._all_models}`);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new d.Set;for(const t of this._roots)e=e.union(t.references());const t=new d.Set(f.values(this._all_models)),s=t.diff(e),o=e.diff(t),n={};for(const t of e.values)n[t.id]=t;for(const e of s.values)e.detach_document(),e instanceof p.Model&&null!=e.name&&this._all_models_by_name.remove_value(e.name,e);for(const e of o.values)e.attach_document(this),e instanceof p.Model&&null!=e.name&&this._all_models_by_name.add_value(e.name,e);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(`Adding root: ${e}`),!h.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new w.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new w.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new w.TitleChangedEvent(this,e,t)))}get_model_by_id(e){return e in this._all_models?this._all_models[e]:null}get_model_by_name(e){return this._all_models_by_name.get_one(e,`Multiple models are named '${e}'`)}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e){h.includes(this._callbacks,e)||this._callbacks.push(e)}remove_on_change(e){const t=this._callbacks.indexOf(e);t>=0&&this._callbacks.splice(t,1)}_trigger_on_change(e){for(const t of this._callbacks)t(e)}_notify_change(e,t,s,o,n){\"name\"===t&&(this._all_models_by_name.remove_value(s,e),null!=o&&this._all_models_by_name.add_value(o,e));const i=null!=n?n.setter_id:void 0,r=null!=n?n.hint:void 0;this._trigger_on_change(new w.ModelChangedEvent(this,e,t,s,o,i,r))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const n=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(o.Models(t))(n)}static _instantiate_references_json(e,t){const s={};for(const o of e){const e=o.id,n=o.type,i=o.attributes||{};let r;e in t?r=t[e]:(r=y._instantiate_object(e,n,i),null!=o.subtype&&r.set_subtype(o.subtype)),s[r.id]=r}return s}static _resolve_refs(e,t,s){function o(e){if(a.is_ref(e)){if(e.id in t)return t[e.id];if(e.id in s)return s[e.id];throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return m.isArray(e)?function(e){const t=[];for(const s of e)t.push(o(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const n=e[s];t[s]=o(n)}return t}(e):e}return o(e)}static _initialize_references_json(e,t,s){const o={};for(const n of e){const e=n.id,i=n.attributes,r=!(e in t),_=r?s[e]:t[e],l=y._resolve_refs(i,t,s);o[_.id]=[_,l,r]}function n(e,t){const s={};function o(n){if(n instanceof _.HasProps){if(!(n.id in s)&&n.id in e){s[n.id]=!0;const[,i,r]=e[n.id];for(const e in i){o(i[e])}t(n,i,r)}}else if(m.isArray(n))for(const e of n)o(e);else if(m.isPlainObject(n))for(const e in n){o(n[e])}}for(const t in e){const[s,,]=e[t];o(s)}}n(o,(function(e,t,s){s&&e.setv(t,{silent:!0})})),n(o,(function(e,t,s){s&&e.finalize()}))}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).attribute_is_serializable(t)){const i={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return _.HasProps._json_record_references(o,s,n,!0),i}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=h.difference(n,r),l=h.difference(r,n),a=h.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of l){const i=t.attributes[n];c.push(y._event_for_attribute_change(e,n,i,s,o))}for(const n of a){const i=e.attributes[n],r=t.attributes[n];null==i&&null==r||(null==i||null==r?c.push(y._event_for_attribute_change(e,n,r,s,o)):u.isEqual(i,r)||c.push(y._event_for_attribute_change(e,n,r,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t={};for(const s of e.roots.references)t[s.id]=s;return t}const n=o(e),i={},r=[];for(const t of e.roots.root_ids)i[t]=n[t],r.push(t);const _=o(s),l={},a=[];for(const e of s.roots.root_ids)l[e]=_[e],a.push(e);if(r.sort(),a.sort(),h.difference(r,a).length>0||h.difference(a,r).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c={};let d=[];for(const e in t._all_models)if(e in n){const s=y._events_to_sync_objects(n[e],_[e],t,c);d=d.concat(s)}return{references:y._references_json(f.values(c),!1),events:d}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=f.values(this._all_models);return{version:n.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${n.version}) / Python (${t})`;s||n.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const r=e.roots,_=r.root_ids,l=r.references,a=y._instantiate_references_json(l,{});y._initialize_references_json(l,{},a);const c=new y;for(const e of _)c.add_root(a[e]);return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t={},s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(f.values(t))}}apply_json_patch(e,t=[],s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id;if(t in this._all_models)r[t]=this._all_models[t];else if(!(t in r))throw i.logger.warn(\"Got an event for unknown model \",e.model),new Error(\"event model wasn't known\");break}}const _={},l={};for(const e in r){const t=r[e];e in this._all_models?_[e]=t:l[e]=t}y._initialize_references_json(o,_,l);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.length)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,l);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id;if(!(o in this._all_models))throw new Error(`Cannot apply patch to ${o} which is not in the document`);const n=this._all_models[o],i=e.attr;if(\"data\"===i&&\"ColumnDataSource\"===n.type){const[o,i]=c.decode_column_data(e.new,t);n.setv({_shapes:i,data:o},{setter_id:s})}else{const t=y._resolve_refs(e.new,_,l);n.setv({[i]:t},{setter_id:s})}break}case\"ColumnDataChanged\":{const o=e.column_source.id;if(!(o in this._all_models))throw new Error(`Cannot stream to ${o} which is not in the document`);const n=this._all_models[o],[i,r]=c.decode_column_data(e.new,t);if(null!=e.cols){for(const e in n.data)e in i||(i[e]=n.data[e]);for(const e in n._shapes)e in r||(r[e]=n._shapes[e])}n.setv({_shapes:r,data:i},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id;if(!(t in this._all_models))throw new Error(`Cannot stream to ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,i=e.rollover;o.stream(n,i,s);break}case\"ColumnsPatched\":{const t=e.column_source.id;if(!(t in this._all_models))throw new Error(`Cannot patch ${t} which is not in the document`);const o=this._all_models[t];if(!(o instanceof v.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=r[e.model.id];this.add_root(t,s);break}case\"RootRemoved\":{const t=r[e.model.id];this.remove_root(t,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n", - " function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(27));s.register_models(l)},\n", - " function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const e=n(9),o=Object.prototype.toString;function i(n){return\"[object Number]\"===o.call(n)}function u(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===o.call(n)},r.isNumber=i,r.isInteger=function(n){return i(n)&&isFinite(n)&&Math.floor(n)===n},r.isString=function(n){return\"[object String]\"===o.call(n)},r.isStrictNaN=function(n){return i(n)&&n!==+n},r.isFunction=function(n){return\"[object Function]\"===o.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;on.length)),r=Array(e);for(let n=0;nn[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(en.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:no&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f0?0:r-1;for(;o>=0&&oe&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;or&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;et[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;e_.copy(t):()=>l.clone(t):()=>t}static define(t){for(const e in t){const s=t[e];if(null!=this.prototype.props[e])throw new Error(`attempted to redefine property '${this.prototype.type}.${e}'`);if(null!=this.prototype[e])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${e}'`);Object.defineProperty(this.prototype,e,{get(){return this.getv(e)},set(t){return this.setv({[e]:t}),this},configurable:!1,enumerable:!0});const[i,n,r]=s,o={type:i,default_value:this._fix_default(n,e),internal:r||!1},c=l.clone(this.prototype.props);c[e]=o,this.prototype.props=c}}static internal(t){const e={};for(const s in t){const i=t[s],[n,r]=i;e[s]=[n,r,!0]}this.define(e)}static mixin(...t){this.define(r.create(t));const e=this.prototype.mixins.concat(t);this.prototype.mixins=e}static mixins(t){this.mixin(...t)}static override(t){for(const e in t){const s=this._fix_default(t[e],e),i=this.prototype.props[e];if(null==i)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${e}'`);const n=l.clone(this.prototype.props);n[e]=Object.assign(Object.assign({},i),{default_value:s}),this.prototype.props=n}}toString(){return`${this.type}(${this.id})`}finalize(){for(const t in this.properties){const e=this.properties[t];e.update(),null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit())}this.initialize(),this.connect_signals()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(t,e){const s=e.check_eq,i=e.silent,n=[],r=this._changing;this._changing=!0;const o=this.attributes;for(const e in t){const i=t[e];!1!==s&&p.isEqual(o[e],i)||n.push(e),o[e]=i}if(!i){n.length>0&&(this._pending=!0);for(let t=0;tn.signal===t&&n.slot===e&&n.context===s)}const a=new s.Set;function f(n){0===a.size&&l.defer(h),a.add(n)}function h(){a.forEach(n=>{i.remove_by(n,n=>null==n.signal)}),a.clear()}},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(9),n=t(16),r=t(8);class o{constructor(){this._dict={}}_existing(t){return t in this._dict?this._dict[t]:null}add_value(t,s){const e=this._existing(t);null==e?this._dict[t]=s:r.isArray(e)?e.push(s):this._dict[t]=[e,s]}remove_value(t,s){const e=this._existing(t);if(r.isArray(e)){const n=i.difference(e,[s]);n.length>0?this._dict[t]=n:delete this._dict[t]}else n.isEqual(e,s)&&delete this._dict[t]}get_one(t,s){const e=this._existing(t);if(r.isArray(e)){if(1===e.length)return e[0];throw new Error(s)}return e}}e.MultiDict=o,o.__name__=\"MultiDict\";class a{constructor(t){if(null==t)this._values=[];else if(t instanceof a)this._values=i.copy(t._values);else{this._values=[];for(const s of t)this.add(s)}}get values(){return i.copy(this._values).sort()}toString(){return`Set([${this.values.join(\",\")}])`}get size(){return this._values.length}has(t){return-1!==this._values.indexOf(t)}add(t){this.has(t)||this._values.push(t)}remove(t){const s=this._values.indexOf(t);-1!==s&&this._values.splice(s,1)}toggle(t){const s=this._values.indexOf(t);-1===s?this._values.push(t):this._values.splice(s,1)}clear(){this._values=[]}union(t){return t=new a(t),new a(this._values.concat(t._values))}intersect(t){t=new a(t);const s=new a;for(const e of t._values)this.has(e)&&t.has(e)&&s.add(e);return s}diff(t){t=new a(t);const s=new a;for(const e of this._values)t.has(e)||s.add(e);return s}forEach(t,s){for(const e of this._values)t.call(s||this,e,e,this)}}e.Set=a,a.__name__=\"Set\";class h{constructor(t,s,e){this.nrows=t,this.ncols=s,this._matrix=new Array(t);for(let i=0;it(this.at(s,e),s,e))}apply(t){const s=h.from(t),{nrows:e,ncols:i}=this;if(e==s.nrows&&i==s.ncols)return new h(e,i,(t,e)=>s.at(t,e)(this.at(t,e),t,e));throw new Error(\"dimensions don't match\")}to_sparse(){const t=[];for(let s=0;st.length));return new h(s,e,(s,e)=>t[s][e])}}}e.Matrix=h,h.__name__=\"Matrix\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const r=t(8),o=Object.prototype.toString;n.isEqual=function(t,e){return function t(e,n,c,u){if(e===n)return 0!==e||1/e==1/n;if(null==e||null==n)return e===n;const i=o.call(e);if(i!==o.call(n))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+e==\"\"+n;case\"[object Number]\":return+e!=+e?+n!=+n:0==+e?1/+e==1/n:+e==+n;case\"[object Date]\":case\"[object Boolean]\":return+e==+n}const s=\"[object Array]\"===i;if(!s){if(\"object\"!=typeof e||\"object\"!=typeof n)return!1;const t=e.constructor,o=n.constructor;if(t!==o&&!(r.isFunction(t)&&t instanceof t&&r.isFunction(o)&&o instanceof o)&&\"constructor\"in e&&\"constructor\"in n)return!1}u=u||[];let f=(c=c||[]).length;for(;f--;)if(c[f]===e)return u[f]===n;if(c.push(e),u.push(n),s){if(f=e.length,f!==n.length)return!1;for(;f--;)if(!t(e[f],n[f],c,u))return!1}else{const r=Object.keys(e);let o;if(f=r.length,Object.keys(n).length!==f)return!1;for(;f--;)if(o=r[f],!n.hasOwnProperty(o)||!t(e[o],n[o],c,u))return!1}return c.pop(),u.pop(),!0}(t,e)}},\n", - " function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const l=e(1).__importStar(e(19)),c=e(24);function o(e,t){const n={};for(const l in e){const c=e[l];n[t+l]=c}return n}const a={line_color:[l.ColorSpec,\"black\"],line_width:[l.NumberSpec,1],line_alpha:[l.NumberSpec,1],line_join:[l.LineJoin,\"bevel\"],line_cap:[l.LineCap,\"butt\"],line_dash:[l.Array,[]],line_dash_offset:[l.Number,0]};n.line=(e=\"\")=>o(a,e);const r={fill_color:[l.ColorSpec,\"gray\"],fill_alpha:[l.NumberSpec,1]};n.fill=(e=\"\")=>o(r,e);const i={hatch_color:[l.ColorSpec,\"black\"],hatch_alpha:[l.NumberSpec,1],hatch_scale:[l.NumberSpec,12],hatch_pattern:[l.StringSpec,null],hatch_weight:[l.NumberSpec,1],hatch_extra:[l.Any,{}]};n.hatch=(e=\"\")=>o(i,e);const _={text_font:[l.Font,\"helvetica\"],text_font_size:[l.FontSizeSpec,\"16px\"],text_font_style:[l.FontStyle,\"normal\"],text_color:[l.ColorSpec,\"#444444\"],text_alpha:[l.NumberSpec,1],text_align:[l.TextAlign,\"left\"],text_baseline:[l.TextBaseline,\"bottom\"],text_line_height:[l.Number,1.2]};n.text=(e=\"\")=>o(_,e),n.create=function(e){const t={};for(const l of e){const[e,o]=l.split(\":\");let a;switch(e){case\"line\":a=n.line;break;case\"fill\":a=n.fill;break;case\"hatch\":a=n.hatch;break;case\"text\":a=n.text;break;default:throw new Error(`Unknown property mixin kind '${e}'`)}c.extend(t,a(o))}return t}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(14),a=i.__importStar(e(20)),r=e(9),o=e(12),l=e(21),c=e(8),_=e(23);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return c.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}s.Signal,n.isSpec=d;class p extends(s.Signalable()){constructor(e,t,n){super(),this.obj=e,this.attr=t,this.default_value=n,this.optional=!1,this.change=new s.Signal0(this.obj,\"change\"),this._init(),this.connect(this.change,()=>this._init())}update(){this._init()}init(){}transform(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.transform([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}_init(){const e=this.obj,t=this.attr;let n=e.getv(t);if(void 0===n){const i=this.default_value;n=null!=this._default_override?this._default_override():void 0!==i?i(e):null,e.setv({[t]:n},{silent:!0,defaults:!0})}c.isArray(n)?this.spec={value:n}:d(n)?this.spec=n:this.spec={value:n},null!=this.spec.value&&this.validate(this.spec.value),this.init()}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}}n.Property=p,p.__name__=\"Property\";class h extends p{}n.Any=h,h.__name__=\"Any\";class m extends p{valid(e){return c.isArray(e)||e instanceof Float64Array}}n.Array=m,m.__name__=\"Array\";class S extends p{valid(e){return c.isBoolean(e)}}n.Boolean=S,S.__name__=\"Boolean\";class g extends p{valid(e){return c.isString(e)&&l.is_color(e)}}n.Color=g,g.__name__=\"Color\";class v extends p{}n.Instance=v,v.__name__=\"Instance\";class x extends p{valid(e){return c.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class f extends x{valid(e){return c.isNumber(e)&&(0|e)==e}}n.Int=f,f.__name__=\"Int\";class y extends x{}n.Angle=y,y.__name__=\"Angle\";class P extends x{valid(e){return c.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class L extends p{valid(e){return c.isString(e)}}n.String=L,L.__name__=\"String\";class T extends L{}n.FontSize=T,T.__name__=\"FontSize\";class A extends L{constructor(){super(...arguments),this._default_override=_.settings.dev?()=>\"Bokeh\":void 0}}n.Font=A,A.__name__=\"Font\";class b extends p{valid(e){return c.isString(e)&&r.includes(this.enum_values,e)}}function M(e){return class extends b{get enum_values(){return e}}}n.EnumProperty=b,b.__name__=\"EnumProperty\",n.Enum=M;class B extends b{get enum_values(){return a.Direction}transform(e){const t=new Uint8Array(e.length);for(let n=0;ne*Math.PI/180)),e=o.map(e,e=>-e),super.transform(e)}}n.AngleSpec=U,U.__name__=\"AngleSpec\";class w extends C{}n.BooleanSpec=w,w.__name__=\"BooleanSpec\";class R extends C{}n.ColorSpec=R,R.__name__=\"ColorSpec\";class F extends C{}n.CoordinateSpec=F,F.__name__=\"CoordinateSpec\";class N extends C{}n.CoordinateSeqSpec=N,N.__name__=\"CoordinateSeqSpec\";class E extends O{get default_units(){return\"data\"}get valid_units(){return a.SpatialUnits}}n.DistanceSpec=E,E.__name__=\"DistanceSpec\";class $ extends C{}n.FontSizeSpec=$,$.__name__=\"FontSizeSpec\";class j extends C{}n.MarkerSpec=j,j.__name__=\"MarkerSpec\";class H extends C{}n.NumberSpec=H,H.__name__=\"NumberSpec\";class z extends C{}n.StringSpec=z,z.__name__=\"StringSpec\";class I extends C{}n.NullStringSpec=I,I.__name__=\"NullStringSpec\"},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.Align=[\"start\",\"center\",\"end\"],o.Anchor=[\"top_left\",\"top_center\",\"top_right\",\"center_left\",\"center\",\"center_right\",\"bottom_left\",\"bottom_center\",\"bottom_right\"],o.AngleUnits=[\"deg\",\"rad\"],o.BoxOrigin=[\"corner\",\"center\"],o.ButtonType=[\"default\",\"primary\",\"success\",\"warning\",\"danger\"],o.CalendarPosition=[\"auto\",\"above\",\"below\"],o.Dimension=[\"width\",\"height\"],o.Dimensions=[\"width\",\"height\",\"both\"],o.Direction=[\"clock\",\"anticlock\"],o.Distribution=[\"uniform\",\"normal\"],o.FontStyle=[\"normal\",\"italic\",\"bold\",\"bold italic\"],o.HatchPatternType=[\"blank\",\"dot\",\"ring\",\"horizontal_line\",\"vertical_line\",\"cross\",\"horizontal_dash\",\"vertical_dash\",\"spiral\",\"right_diagonal_line\",\"left_diagonal_line\",\"diagonal_cross\",\"right_diagonal_dash\",\"left_diagonal_dash\",\"horizontal_wave\",\"vertical_wave\",\"criss_cross\",\" \",\".\",\"o\",\"-\",\"|\",\"+\",'\"',\":\",\"@\",\"/\",\"\\\\\",\"x\",\",\",\"`\",\"v\",\">\",\"*\"],o.HTTPMethod=[\"POST\",\"GET\"],o.HexTileOrientation=[\"pointytop\",\"flattop\"],o.HoverMode=[\"mouse\",\"hline\",\"vline\"],o.LatLon=[\"lat\",\"lon\"],o.LegendClickPolicy=[\"none\",\"hide\",\"mute\"],o.LegendLocation=o.Anchor,o.LineCap=[\"butt\",\"round\",\"square\"],o.LineJoin=[\"miter\",\"round\",\"bevel\"],o.LinePolicy=[\"prev\",\"next\",\"nearest\",\"interp\",\"none\"],o.Location=[\"above\",\"below\",\"left\",\"right\"],o.Logo=[\"normal\",\"grey\"],o.MarkerType=[\"asterisk\",\"circle\",\"circle_cross\",\"circle_x\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"hex\",\"inverted_triangle\",\"square\",\"square_cross\",\"square_x\",\"triangle\",\"x\"],o.MutedPolicy=[\"show\",\"ignore\"],o.Orientation=[\"vertical\",\"horizontal\"],o.OutputBackend=[\"canvas\",\"svg\",\"webgl\"],o.PaddingUnits=[\"percent\",\"absolute\"],o.Place=[\"above\",\"below\",\"left\",\"right\",\"center\"],o.PointPolicy=[\"snap_to_data\",\"follow_mouse\",\"none\"],o.RadiusDimension=[\"x\",\"y\",\"max\",\"min\"],o.RenderLevel=[\"image\",\"underlay\",\"glyph\",\"annotation\",\"overlay\"],o.RenderMode=[\"canvas\",\"css\"],o.ResetPolicy=[\"standard\",\"event_only\"],o.RoundingFunction=[\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"],o.Side=[\"above\",\"below\",\"left\",\"right\"],o.SizingMode=[\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"],o.Sort=[\"ascending\",\"descending\"],o.SpatialUnits=[\"screen\",\"data\"],o.StartEnd=[\"start\",\"end\"],o.StepMode=[\"after\",\"before\",\"center\"],o.TapBehavior=[\"select\",\"inspect\"],o.TextAlign=[\"left\",\"right\",\"center\"],o.TextBaseline=[\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"],o.TextureRepetition=[\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"],o.TickLabelOrientation=[\"vertical\",\"horizontal\",\"parallel\",\"normal\"],o.TooltipAttachment=[\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"],o.UpdateMode=[\"replace\",\"append\"],o.VerticalAlign=[\"top\",\"middle\",\"bottom\"]},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(22),o=e(9);function l(e){const r=Number(e).toString(16);return 1==r.length?`0${r}`:r}function a(e){if(0==(e+=\"\").indexOf(\"#\"))return e;if(n.is_svg_color(e))return n.svg_colors[e];if(0==e.indexOf(\"rgb\")){const r=e.replace(/^rgba?\\(|\\s+|\\)$/g,\"\").split(\",\");let t=r.slice(0,3).map(l).join(\"\");return 4==r.length&&(t+=l(Math.floor(255*parseFloat(r[3])))),`#${t.slice(0,8)}`}return e}function c(e){let r;switch(e.substring(0,4)){case\"rgba\":r={start:\"rgba(\",len:4,alpha:!0};break;case\"rgb(\":r={start:\"rgb(\",len:3,alpha:!1};break;default:return!1}if(new RegExp(\".*?(\\\\.).*(,)\").test(e))throw new Error(`color expects integers for rgb in rgb/rgba tuple, received ${e}`);const t=e.replace(r.start,\"\").replace(\")\",\"\").split(\",\").map(parseFloat);if(t.length!=r.len)throw new Error(`color expects rgba ${r.len}-tuple, received ${e}`);if(r.alpha&&!(0<=t[3]&&t[3]<=1))throw new Error(\"color expects rgba 4-tuple to have alpha value between 0 and 1\");if(o.includes(t.slice(0,3).map(e=>0<=e&&e<=255),!1))throw new Error(\"color expects rgb to have value between 0 and 255\");return!0}t.is_color=function(e){return n.is_svg_color(e.toLowerCase())||\"#\"==e.substring(0,1)||c(e)},t.rgb2hex=function(e,r,t){return`#${l(255&e)}${l(255&r)}${l(255&t)}`},t.color2hex=a,t.color2rgba=function(e,r=1){if(!e)return[0,0,0,0];let t=a(e);t=t.replace(/ |#/g,\"\"),t.length<=4&&(t=t.replace(/(.)/g,\"$1$1\"));const n=t.match(/../g).map(e=>parseInt(e,16)/255);for(;n.length<3;)n.push(0);return n.length<4&&n.push(r),n.slice(0,4)},t.valid_rgb=c},\n", - " function _(e,F,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.svg_colors={indianred:\"#CD5C5C\",lightcoral:\"#F08080\",salmon:\"#FA8072\",darksalmon:\"#E9967A\",lightsalmon:\"#FFA07A\",crimson:\"#DC143C\",red:\"#FF0000\",firebrick:\"#B22222\",darkred:\"#8B0000\",pink:\"#FFC0CB\",lightpink:\"#FFB6C1\",hotpink:\"#FF69B4\",deeppink:\"#FF1493\",mediumvioletred:\"#C71585\",palevioletred:\"#DB7093\",coral:\"#FF7F50\",tomato:\"#FF6347\",orangered:\"#FF4500\",darkorange:\"#FF8C00\",orange:\"#FFA500\",gold:\"#FFD700\",yellow:\"#FFFF00\",lightyellow:\"#FFFFE0\",lemonchiffon:\"#FFFACD\",lightgoldenrodyellow:\"#FAFAD2\",papayawhip:\"#FFEFD5\",moccasin:\"#FFE4B5\",peachpuff:\"#FFDAB9\",palegoldenrod:\"#EEE8AA\",khaki:\"#F0E68C\",darkkhaki:\"#BDB76B\",lavender:\"#E6E6FA\",thistle:\"#D8BFD8\",plum:\"#DDA0DD\",violet:\"#EE82EE\",orchid:\"#DA70D6\",fuchsia:\"#FF00FF\",magenta:\"#FF00FF\",mediumorchid:\"#BA55D3\",mediumpurple:\"#9370DB\",blueviolet:\"#8A2BE2\",darkviolet:\"#9400D3\",darkorchid:\"#9932CC\",darkmagenta:\"#8B008B\",purple:\"#800080\",indigo:\"#4B0082\",slateblue:\"#6A5ACD\",darkslateblue:\"#483D8B\",mediumslateblue:\"#7B68EE\",greenyellow:\"#ADFF2F\",chartreuse:\"#7FFF00\",lawngreen:\"#7CFC00\",lime:\"#00FF00\",limegreen:\"#32CD32\",palegreen:\"#98FB98\",lightgreen:\"#90EE90\",mediumspringgreen:\"#00FA9A\",springgreen:\"#00FF7F\",mediumseagreen:\"#3CB371\",seagreen:\"#2E8B57\",forestgreen:\"#228B22\",green:\"#008000\",darkgreen:\"#006400\",yellowgreen:\"#9ACD32\",olivedrab:\"#6B8E23\",olive:\"#808000\",darkolivegreen:\"#556B2F\",mediumaquamarine:\"#66CDAA\",darkseagreen:\"#8FBC8F\",lightseagreen:\"#20B2AA\",darkcyan:\"#008B8B\",teal:\"#008080\",aqua:\"#00FFFF\",cyan:\"#00FFFF\",lightcyan:\"#E0FFFF\",paleturquoise:\"#AFEEEE\",aquamarine:\"#7FFFD4\",turquoise:\"#40E0D0\",mediumturquoise:\"#48D1CC\",darkturquoise:\"#00CED1\",cadetblue:\"#5F9EA0\",steelblue:\"#4682B4\",lightsteelblue:\"#B0C4DE\",powderblue:\"#B0E0E6\",lightblue:\"#ADD8E6\",skyblue:\"#87CEEB\",lightskyblue:\"#87CEFA\",deepskyblue:\"#00BFFF\",dodgerblue:\"#1E90FF\",cornflowerblue:\"#6495ED\",royalblue:\"#4169E1\",blue:\"#0000FF\",mediumblue:\"#0000CD\",darkblue:\"#00008B\",navy:\"#000080\",midnightblue:\"#191970\",cornsilk:\"#FFF8DC\",blanchedalmond:\"#FFEBCD\",bisque:\"#FFE4C4\",navajowhite:\"#FFDEAD\",wheat:\"#F5DEB3\",burlywood:\"#DEB887\",tan:\"#D2B48C\",rosybrown:\"#BC8F8F\",sandybrown:\"#F4A460\",goldenrod:\"#DAA520\",darkgoldenrod:\"#B8860B\",peru:\"#CD853F\",chocolate:\"#D2691E\",saddlebrown:\"#8B4513\",sienna:\"#A0522D\",brown:\"#A52A2A\",maroon:\"#800000\",white:\"#FFFFFF\",snow:\"#FFFAFA\",honeydew:\"#F0FFF0\",mintcream:\"#F5FFFA\",azure:\"#F0FFFF\",aliceblue:\"#F0F8FF\",ghostwhite:\"#F8F8FF\",whitesmoke:\"#F5F5F5\",seashell:\"#FFF5EE\",beige:\"#F5F5DC\",oldlace:\"#FDF5E6\",floralwhite:\"#FFFAF0\",ivory:\"#FFFFF0\",antiquewhite:\"#FAEBD7\",linen:\"#FAF0E6\",lavenderblush:\"#FFF0F5\",mistyrose:\"#FFE4E1\",gainsboro:\"#DCDCDC\",lightgray:\"#D3D3D3\",lightgrey:\"#D3D3D3\",silver:\"#C0C0C0\",darkgray:\"#A9A9A9\",darkgrey:\"#A9A9A9\",gray:\"#808080\",grey:\"#808080\",dimgray:\"#696969\",dimgrey:\"#696969\",lightslategray:\"#778899\",lightslategrey:\"#778899\",slategray:\"#708090\",slategrey:\"#708090\",darkslategray:\"#2F4F4F\",darkslategrey:\"#2F4F4F\",black:\"#000000\"},r.is_svg_color=function(e){return e in r.svg_colors}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class n{constructor(){this._dev=!1}set dev(e){this._dev=e}get dev(){return this._dev}}s.Settings=n,n.__name__=\"Settings\",s.settings=new n},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.extend=Object.assign,n.values=void 0!==Object.values?Object.values:e=>{const t=Object.keys(e),n=t.length,c=new Array(n);for(let o=0;o\"'`])/g,t=>{switch(t){case\"&\":return\"&\";case\"<\":return\"<\";case\">\":return\">\";case'\"':return\""\";case\"'\":return\"'\";case\"`\":return\"`\";default:return t}})},r.unescape=function(t){return t.replace(/&(amp|lt|gt|quot|#x27|#x60);/g,(t,e)=>{switch(e){case\"amp\":return\"&\";case\"lt\":return\"<\";case\"gt\":return\">\";case\"quot\":return'\"';case\"#x27\":return\"'\";case\"#x60\":return\"`\";default:return e}})},r.use_strict=function(t){return`'use strict';\\n${t}`}},\n", - " function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(28),r),e.__exportStar(t(147),r),e.__exportStar(t(174),r),e.__exportStar(t(178),r),e.__exportStar(t(193),r),e.__exportStar(t(197),r),e.__exportStar(t(203),r),e.__exportStar(t(207),r),e.__exportStar(t(237),r),e.__exportStar(t(240),r),e.__exportStar(t(242),r),e.__exportStar(t(255),r),e.__exportStar(t(122),r),e.__exportStar(t(261),r),e.__exportStar(t(265),r),e.__exportStar(t(288),r),e.__exportStar(t(289),r),e.__exportStar(t(290),r),e.__exportStar(t(291),r),e.__exportStar(t(292),r),e.__exportStar(t(297),r),e.__exportStar(t(299),r),e.__exportStar(t(309),r),e.__exportStar(t(313),r)},\n", - " function _(a,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});var r=a(29);o.Annotation=r.Annotation;var n=a(71);o.Arrow=n.Arrow;var t=a(72);o.ArrowHead=t.ArrowHead;var v=a(72);o.OpenHead=v.OpenHead;var l=a(72);o.NormalHead=l.NormalHead;var d=a(72);o.TeeHead=d.TeeHead;var i=a(72);o.VeeHead=i.VeeHead;var A=a(104);o.Band=A.Band;var H=a(105);o.BoxAnnotation=H.BoxAnnotation;var T=a(107);o.ColorBar=T.ColorBar;var p=a(132);o.Label=p.Label;var L=a(134);o.LabelSet=L.LabelSet;var b=a(135);o.Legend=b.Legend;var B=a(136);o.LegendItem=B.LegendItem;var S=a(138);o.PolyAnnotation=S.PolyAnnotation;var P=a(139);o.Slope=P.Slope;var g=a(140);o.Span=g.Span;var m=a(133);o.TextAnnotation=m.TextAnnotation;var w=a(141);o.Title=w.Title;var x=a(142);o.ToolbarPanel=x.ToolbarPanel;var s=a(143);o.Tooltip=s.Tooltip;var u=a(146);o.Whisker=u.Whisker},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1).__importStar(t(30)),s=t(24),o=t(63);class _ extends o.RendererView{get panel(){return this.layout}get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,()=>this.plot_view.request_layout())}_get_size(){throw new Error(\"not implemented\")}get ctx(){return this.plot_view.canvas_view.ctx}set_data(t){const e=this.model.materialize_dataspecs(t);if(s.extend(this,e),this.plot_model.use_map){const t=this;null!=t._x&&([t._x,t._y]=i.project_xy(t._x,t._y)),null!=t._xs&&([t._xs,t._ys]=i.project_xsys(t._xs,t._ys))}}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}n.AnnotationView=_,_.__name__=\"AnnotationView\";class a extends o.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}n.Annotation=a,a.__name__=\"Annotation\",a.init_Annotation()},\n", - " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=r.__importDefault(t(31)),a=r.__importDefault(t(32)),c=new a.default(\"GOOGLE\"),l=new a.default(\"WGS84\");e.wgs84_mercator=o.default(l,c);const u={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},f={lon:[-180,180],lat:[-85.06,85.06]};function s(t,n){const r=Math.min(t.length,n.length),o=new Array(r),a=new Array(r);for(let c=0;c2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=a.default(e,n,t),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function u(e){return e instanceof o.default?e:e.oProj?e.oProj:o.default(e)}t.default=function(e,n,t){e=u(e);var r,o=!1;return void 0===n?(n=e,e=i,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=i,o=!0),n=u(n),t?c(e,n,t):(r={forward:function(t){return c(e,n,t)},inverse:function(t){return c(n,e,t)}},o&&(r.oProj=n),r)}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),i=s.__importDefault(e(33)),u=s.__importDefault(e(44)),l=s.__importDefault(e(45)),o=e(53),r=s.__importDefault(e(55)),f=s.__importDefault(e(56)),d=s.__importDefault(e(40));function p(e,t){if(!(this instanceof p))return new p(e);t=t||function(e){if(e)throw e};var a=i.default(e);if(\"object\"==typeof a){var s=p.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var l=d.default(r.default,a.datumCode);l&&(a.datum_params=l.towgs84?l.towgs84.split(\",\"):null,a.ellps=l.ellipse,a.datumName=l.datumName?l.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\";var m=o.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),n=o.eccentricity(m.a,m.b,m.rf,a.R_A),h=a.datum||f.default(a.datumCode,a.datum_params,m.a,m.b,n.es,n.ep2);u.default(this,a),u.default(this,s),this.a=m.a,this.b=m.b,this.rf=m.rf,this.sphere=m.sphere,this.es=n.es,this.e=n.e,this.ep2=n.ep2,this.datum=h,this.init(),t(null,this)}else t(e)}else t(e)}p.projections=l.default,p.projections.start(),a.default=p},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(34)),f=u.__importDefault(t(41)),i=u.__importDefault(t(36)),a=u.__importDefault(t(40));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=i.__importDefault(t(35)),f=i.__importDefault(t(36)),a=i.__importDefault(t(41));function l(t){var e=this;if(2===arguments.length){var r=arguments[1];\"string\"==typeof r?\"+\"===r.charAt(0)?l[t]=f.default(arguments[1]):l[t]=a.default(arguments[1]):l[t]=r}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?l.apply(e,t):l(t)}));if(\"string\"==typeof t){if(t in l)return l[t]}else\"EPSG\"in t?l[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?l[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?l[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}n.default(l),r.default=l},\n", - " function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.default=function(e){e(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),e(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),e(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),e.WGS84=e[\"EPSG:4326\"],e[\"EPSG:3785\"]=e[\"EPSG:3857\"],e.GOOGLE=e[\"EPSG:3857\"],e[\"EPSG:900913\"]=e[\"EPSG:3857\"],e[\"EPSG:102113\"]=e[\"EPSG:3857\"]}},\n", - " function _(t,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),a=t(37),u=e.__importDefault(t(38)),r=e.__importDefault(t(39)),i=e.__importDefault(t(40));o.default=function(t){var n,o,e,f={},l=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){f.rf=parseFloat(t)},lat_0:function(t){f.lat0=t*a.D2R},lat_1:function(t){f.lat1=t*a.D2R},lat_2:function(t){f.lat2=t*a.D2R},lat_ts:function(t){f.lat_ts=t*a.D2R},lon_0:function(t){f.long0=t*a.D2R},lon_1:function(t){f.long1=t*a.D2R},lon_2:function(t){f.long2=t*a.D2R},alpha:function(t){f.alpha=parseFloat(t)*a.D2R},lonc:function(t){f.longc=t*a.D2R},x_0:function(t){f.x0=parseFloat(t)},y_0:function(t){f.y0=parseFloat(t)},k_0:function(t){f.k0=parseFloat(t)},k:function(t){f.k0=parseFloat(t)},a:function(t){f.a=parseFloat(t)},b:function(t){f.b=parseFloat(t)},r_a:function(){f.R_A=!0},zone:function(t){f.zone=parseInt(t,10)},south:function(){f.utmSouth=!0},towgs84:function(t){f.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){f.to_meter=parseFloat(t)},units:function(t){f.units=t;var n=i.default(r.default,t);n&&(f.to_meter=n.to_meter)},from_greenwich:function(t){f.from_greenwich=t*a.D2R},pm:function(t){var n=i.default(u.default,t);f.from_greenwich=(n||parseFloat(t))*a.D2R},nadgrids:function(t){\"@null\"===t?f.datumCode=\"none\":f.nadgrids=t},axis:function(t){3===t.length&&-1!==\"ewnsud\".indexOf(t.substr(0,1))&&-1!==\"ewnsud\".indexOf(t.substr(1,1))&&-1!==\"ewnsud\".indexOf(t.substr(2,1))&&(f.axis=t)}};for(n in l)o=l[n],n in c?\"function\"==typeof(e=c[n])?e(o):f[e]=o:f[n]=o;return\"string\"==typeof f.datumCode&&\"WGS84\"!==f.datumCode&&(f.datumCode=f.datumCode.toLowerCase()),f}},\n", - " function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n", - " function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var a={};r.default=a,a.greenwich=0,a.lisbon=-9.131906111111,a.paris=2.337229166667,a.bogota=-74.080916666667,a.madrid=-3.687938888889,a.rome=12.452333333333,a.bern=7.439583333333,a.jakarta=106.807719444444,a.ferro=-17.666666666667,a.brussels=4.367975,a.stockholm=18.058277777778,a.athens=23.7163375,a.oslo=10.722916666667},\n", - " function _(e,t,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n", - " function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(37),f=n.__importDefault(e(49));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(37);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n", - " function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(37);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n", - " function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(37),f=a.__importStar(e(54)),u=a.__importDefault(e(40));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),u=t(37),m=r.__importDefault(t(58)),_=r.__importDefault(t(60)),o=r.__importDefault(t(32)),d=r.__importDefault(t(61)),f=r.__importDefault(t(62));a.default=function t(e,a,r){var n;return Array.isArray(r)&&(r=d.default(r)),f.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===u.PJD_3PARAM||t.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===u.PJD_3PARAM||e.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,n=new o.default(\"WGS84\"),r),e=n),\"enu\"!==e.axis&&(r=_.default(e,!1,r)),\"longlat\"===e.projName?r={x:r.x*u.D2R,y:r.y*u.D2R,z:r.z||0}:(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),r=e.inverse(r)),e.from_greenwich&&(r.x+=e.from_greenwich),r=m.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*u.R2D,y:r.y*u.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?_.default(a,!0,r):r}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const u=e(37),o=e(59);function _(e){return e===u.PJD_3PARAM||e===u.PJD_7PARAM}a.default=function(e,t,a){return o.compareDatums(e,t)||e.datum_type===u.PJD_NODATUM||t.datum_type===u.PJD_NODATUM?a:e.es!==t.es||e.a!==t.a||_(e.datum_type)||_(t.datum_type)?(a=o.geodeticToGeocentric(a,e.es,e.a),_(e.datum_type)&&(a=o.geocentricToWgs84(a,e.datum_type,e.datum_params)),_(t.datum_type)&&(a=o.geocentricFromWgs84(a,t.datum_type,t.datum_params)),o.geocentricToGeodetic(a,t.es,t.a,t.b)):a}},\n", - " function _(a,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(37);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===e.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==e.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,u,s,_,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-e.HALF_PI&&d>-1.001*e.HALF_PI)d=-e.HALF_PI;else if(d>e.HALF_PI&&d<1.001*e.HALF_PI)d=e.HALF_PI;else{if(d<-e.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>e.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),u=Math.sin(d),_=Math.cos(d),s=u*u,{x:((m=r/Math.sqrt(1-t*s))+i)*_*Math.cos(n),y:(m+i)*_*Math.sin(n),z:(m*(1-t)+i)*u}},r.geocentricToGeodetic=function(a,t,r,m){var u,s,_,n,d,i,p,P,o,y,M,z,c,A,x,f=a.x,h=a.y,I=a.z?a.z:0;if(u=Math.sqrt(f*f+h*h),s=Math.sqrt(f*f+h*h+I*I),u/r<1e-12){if(A=0,s/r<1e-12)return e.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else A=Math.atan2(h,f);_=I/s,P=(n=u/s)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),o=_*d,c=0;do{c++,i=t*(p=r/Math.sqrt(1-t*o*o))/(p+(x=u*P+I*o-p*(1-t*o*o))),z=(M=_*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(y=n*(1-i)*d)*o,P=y,o=M}while(z*z>1e-24&&c<30);return{x:A,y:Math.atan(M/Math.abs(y)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-_*a.z)+u,z:i*(-n*a.x+_*a.y+a.z)+s}}},r.geocentricFromWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-u)/i,o=(a.z-s)/i;return{x:p+d*P-n*o,y:-d*p+P+_*o,z:n*p-_*P+o}}}},\n", - " function _(e,a,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(e,a,r){var c,s,u,i=r.x,n=r.y,t=r.z||0,d={};for(u=0;u<3;u++)if(!a||2!==u||void 0!==r.z)switch(0===u?(c=i,s=\"x\"):1===u?(c=n,s=\"y\"):(c=t,s=\"z\"),e.axis[u]){case\"e\":d[s]=c;break;case\"w\":d[s]=-c;break;case\"n\":d[s]=c;break;case\"s\":d[s]=-c;break;case\"u\":void 0!==r[s]&&(d.z=c);break;case\"d\":void 0!==r[s]&&(d.z=-c);break;default:return null}return d}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){var n={x:e[0],y:e[1]};return e.length>2&&(n.z=e[2]),e.length>3&&(n.m=e[3]),n}},\n", - " function _(e,i,n){function t(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(64),s=r.__importStar(e(68)),_=r.__importStar(e(19)),l=e(69);class o extends n.DOMView{initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this._has_finished=!0}get plot_view(){return this.parent}get plot_model(){return this.parent.model}request_render(){this.plot_view.request_render()}map_to_screen(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)}get needs_clip(){return!1}notify_finished(){this.plot_view.notify_finished()}get has_webgl(){return!1}}i.RendererView=o,o.__name__=\"RendererView\";class d extends l.Model{constructor(e){super(e)}static init_Renderer(){this.define({level:[_.RenderLevel],visible:[_.Boolean,!0]})}}i.Renderer=d,d.__name__=\"Renderer\",d.init_Renderer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(65),n=i.__importStar(e(66)),_=e(67);class a extends r.View{initialize(){super.initialize(),this._has_finished=!1,this.el=this._createElement()}remove(){n.removeElement(this.el),super.remove()}css_classes(){return[]}cursor(e,t){return null}render(){}renderTo(e){e.appendChild(this.el),this.render()}has_finished(){return this._has_finished}get _root_element(){return n.parent(this.el,`.${_.bk_root}`)||document.body}get is_idle(){return this.has_finished()}_createElement(){return n.createElement(this.tagName,{class:this.css_classes()})}}s.DOMView=a,a.__name__=\"DOMView\",a.prototype.tagName=\"div\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(14),n=t(8),o=t(26);class s{constructor(t){if(this.removed=new r.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),null==t.model)throw new Error(\"model of a view wasn't configured\");this.model=t.model,this._parent=t.parent,this.id=t.id||o.uniqueId()}get ready(){return this._ready}connect(t,e){return t.connect((t,i)=>{const r=Promise.resolve(e.call(this,t,i));this._ready=this._ready.then(()=>r)},this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){}async lazy_initialize(){}remove(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.id})`}serializable_state(){return{type:this.model.type}}get parent(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")}get is_root(){return null===this.parent}get root(){return this.is_root?this:this.parent.root}assert_root(){if(!this.is_root)throw new Error(`${this.toString()} is not a root layout`)}connect_signals(){}disconnect_signals(){r.Signal.disconnectReceiver(this)}on_change(t,e){for(const i of n.isArray(t)?t:[t])this.connect(i.change,e)}}i.View=s,s.__name__=\"View\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(8),s=t=>(e={},...n)=>{const s=document.createElement(t);s.classList.add(\"bk\");for(const t in e){let n=e[t];if(null!=n&&(!i.isBoolean(n)||n))if(\"class\"===t&&(i.isString(n)&&(n=n.split(/\\s+/)),i.isArray(n)))for(const t of n)null!=t&&s.classList.add(t);else if(\"style\"===t&&i.isPlainObject(n))for(const t in n)s.style[t]=n[t];else if(\"data\"===t&&i.isPlainObject(n))for(const t in n)s.dataset[t]=n[t];else s.setAttribute(t,n)}function o(t){if(t instanceof HTMLElement)s.appendChild(t);else if(i.isString(t))s.appendChild(document.createTextNode(t));else if(null!=t&&!1!==t)throw new Error(`expected an HTMLElement, string, false or null, got ${JSON.stringify(t)}`)}for(const t of n)if(i.isArray(t))for(const e of t)o(e);else o(t);return s};function o(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function l(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function r(t,e){const n=Element.prototype;return(n.matches||n.webkitMatchesSelector||n.mozMatchesSelector||n.msMatchesSelector).call(t,e)}function c(t){return parseFloat(t)||0}function a(t){const e=getComputedStyle(t);return{border:{top:c(e.borderTopWidth),bottom:c(e.borderBottomWidth),left:c(e.borderLeftWidth),right:c(e.borderRightWidth)},margin:{top:c(e.marginTop),bottom:c(e.marginBottom),left:c(e.marginLeft),right:c(e.marginRight)},padding:{top:c(e.paddingTop),bottom:c(e.paddingBottom),left:c(e.paddingLeft),right:c(e.paddingRight)}}}function h(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return s(t)(e,...n)},n.div=s(\"div\"),n.span=s(\"span\"),n.canvas=s(\"canvas\"),n.link=s(\"link\"),n.style=s(\"style\"),n.a=s(\"a\"),n.p=s(\"p\"),n.i=s(\"i\"),n.pre=s(\"pre\"),n.button=s(\"button\"),n.label=s(\"label\"),n.input=s(\"input\"),n.select=s(\"select\"),n.option=s(\"option\"),n.optgroup=s(\"optgroup\"),n.textarea=s(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=o,n.removeElement=o,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=l,n.empty=function(t){let e;for(;e=t.firstChild;)t.removeChild(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=r,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(r(n,e))return n;return null},n.extents=a,n.size=h,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:s}}=a(t),{width:o,height:l}=h(t);return{width:Math.ceil(o+e+n),height:Math.ceil(l+i+s)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=a(t);let s=0,o=0;for(const l of t.children){const t=l.getBoundingClientRect();s=Math.max(s,Math.ceil(t.left-e-i.left+t.width)),o=Math.max(o,Math.ceil(t.top-n-i.top+t.height))}return{width:s,height:o}},n.position=function(t,e,n){const{style:i}=t;if(i.left=`${e.x}px`,i.top=`${e.y}px`,i.width=`${e.width}px`,i.height=`${e.height}px`,null==n)i.margin=\"\";else{const{top:t,right:e,bottom:s,left:o}=n;i.margin=`${t}px ${e}px ${s}px ${o}px`}},n.children=function(t){return Array.from(t.children)};class d{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e\":case\"vertical_wave\":_.moveTo(n,0),_.lineTo(3*n,o),_.lineTo(n,l),_.stroke();break;case\"*\":case\"criss_cross\":h(_,l),c(_,l,o),i(_,l,o)}return r}class n{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(null==e)throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=n,n.__name__=\"ContextProperties\";class r extends n{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle!==this.cache.line_color&&(e.strokeStyle=this.cache.line_color),this.cache_select(\"line_alpha\",t),e.globalAlpha!==this.cache.line_alpha&&(e.globalAlpha=this.cache.line_alpha),this.cache_select(\"line_width\",t),e.lineWidth!==this.cache.line_width&&(e.lineWidth=this.cache.line_width),this.cache_select(\"line_join\",t),e.lineJoin!==this.cache.line_join&&(e.lineJoin=this.cache.line_join),this.cache_select(\"line_cap\",t),e.lineCap!==this.cache.line_cap&&(e.lineCap=this.cache.line_cap),this.cache_select(\"line_dash\",t),e.getLineDash()!==this.cache.line_dash&&e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.getLineDashOffset()!==this.cache.line_dash_offset&&e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){const[e,t,a,s]=l.color2rgba(this.line_color.value(),this.line_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Line=r,r.__name__=\"Line\",r.prototype.attrs=Object.keys(s.line());class _ extends n{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle!==this.cache.fill_color&&(e.fillStyle=this.cache.fill_color),this.cache_select(\"fill_alpha\",t),e.globalAlpha!==this.cache.fill_alpha&&(e.globalAlpha=this.cache.fill_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.fill_color.value(),this.fill_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Fill=_,_.__name__=\"Fill\",_.prototype.attrs=Object.keys(s.fill());class p extends n{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:l,hatch_extra:c}=this.cache;if(null!=c&&c.hasOwnProperty(s)){const t=c[s];this.cache.pattern=t.get_pattern(e,a,l)}else this.cache.pattern=t=>{const c=o(s,e,a,l);return t.createPattern(c,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha!==this.cache.hatch_alpha&&(e.globalAlpha=this.cache.hatch_alpha)}color_value(){const[e,t,a,s]=l.color2rgba(this.hatch_color.value(),this.hatch_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}}a.Hatch=p,p.__name__=\"Hatch\",p.prototype.attrs=Object.keys(s.hatch());class u extends n{cache_select(e,t){let a;if(\"font\"==e){super.cache_select(\"text_font_style\",t),super.cache_select(\"text_font_size\",t),super.cache_select(\"text_font\",t);const{text_font_style:e,text_font_size:s,text_font:l}=this.cache;this.cache.font=a=`${e} ${s} ${l}`}else a=super.cache_select(e,t);return a}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return this.text_font_style.value()+\" \"+t+\" \"+e}color_value(){const[e,t,a,s]=l.color2rgba(this.text_color.value(),this.text_alpha.value());return`rgba(${255*e},${255*t},${255*a},${s})`}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font!==this.cache.font&&(e.font=this.cache.font),this.cache_select(\"text_color\",t),e.fillStyle!==this.cache.text_color&&(e.fillStyle=this.cache.text_color),this.cache_select(\"text_alpha\",t),e.globalAlpha!==this.cache.text_alpha&&(e.globalAlpha=this.cache.text_alpha),this.cache_select(\"text_align\",t),e.textAlign!==this.cache.text_align&&(e.textAlign=this.cache.text_align),this.cache_select(\"text_baseline\",t),e.textBaseline!==this.cache.text_baseline&&(e.textBaseline=this.cache.text_baseline)}}a.Text=u,u.__name__=\"Text\",u.prototype.attrs=Object.keys(s.text());class f{constructor(e){for(const t of e.mixins){const[a,s=\"\"]=t.split(\":\");let l;switch(a){case\"line\":l=r;break;case\"fill\":l=_;break;case\"hatch\":l=p;break;case\"text\":l=u;break;default:throw new Error(`unknown visual: ${a}`)}this[s+a]=new l(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof n&&(a.all_indices=e)}}}a.Visuals=f,f.__name__=\"Visuals\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),r=n.__importStar(e(19)),a=e(8),i=e(24),o=e(70);class _ extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[r.Array,[]],name:[r.String],js_property_callbacks:[r.Any,{}],js_event_callbacks:[r.Any,{}],subscribed_events:[r.Array,[]]})}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this.id):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const t in this._js_callbacks){const s=this._js_callbacks[t],n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks={};for(const t in this.js_property_callbacks){const s=this.js_property_callbacks[t].map(e=>()=>e.execute(this));this._js_callbacks[t]=s;const n=e(t);for(const e of s)this.connect(n,e)}}_doc_attached(){i.isEmpty(this.js_event_callbacks)&&i.isEmpty(this.subscribed_events)||this._update_event_callbacks()}select(e){if(a.isString(e))return this.references().filter(t=>t instanceof _&&t.name===e);if(e.prototype instanceof c.HasProps)return this.references().filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=_,_.__name__=\"Model\",_.init_Model()},\n", - " function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].levelthis.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;nnew n.OpenHead({})],source:[o.Instance],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]})}}s.Arrow=h,h.__name__=\"Arrow\",h.init_Arrow()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),l=i(29),n=i(68),o=t.__importStar(i(19));class h extends l.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[o.Number,25]})}initialize(){super.initialize(),this.visuals=new n.Visuals(this)}}s.ArrowHead=h,h.__name__=\"ArrowHead\",h.init_ArrowHead();class a extends h{constructor(i){super(i)}static init_OpenHead(){this.mixins([\"line\"])}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=a,a.__name__=\"OpenHead\",a.init_OpenHead();class r extends h{constructor(i){super(i)}static init_NormalHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=r,r.__name__=\"NormalHead\",r.init_NormalHead();class z extends h{constructor(i){super(i)}static init_VeeHead(){this.mixins([\"line\",\"fill\"]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=z,z.__name__=\"VeeHead\",z.init_VeeHead();class _ extends h{constructor(i){super(i)}static init_TeeHead(){this.mixins([\"line\"])}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=_,_.__name__=\"TeeHead\",_.init_TeeHead()},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),a=t(74),o=t(13),i=s.__importStar(t(19)),r=t(15),l=t(100),u=t(8),c=s.__importStar(t(102)),_=t(24),h=t(103);function d(t,e,n){if(u.isArray(t)){const s=t.concat(e);return null!=n&&s.length>n?s.slice(-n):s}if(u.isTypedArray(t)){const s=t.length+e.length;if(null!=n&&s>n){const a=s-n,o=t.length;let i;t.lengthnew _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection],_shapes:[l.Any,{}]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(69),o=e(76),i=c.__importStar(e(19));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),l=t.__importStar(i(19)),_=i(9),h=i(24);class c extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({final:[l.Boolean],selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e,s){this.final=e,s?this.update_through_union(i):(this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices)}clear(){this.final=!0,this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=_.union(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=_.intersection(i.indices,this.indices),this.selected_glyphs=_.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=_.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=h.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=c,c.__name__=\"Selection\",c.init_Selection()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(13),o=e(76),c=e(78),r=e(97),l=s.__importStar(e(19));class _ extends n.HasProps{constructor(e){super(e),this.inspectors={}}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,i,s=!1){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,i,s)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,i,s)}return l}inspect(e,t){let i=!1;if(e instanceof c.GlyphRendererView){const s=e.hit_test(t);if(null!=s){i=!s.is_empty();const n=this.get_or_create_inspector(e.model);n.update(s,!0,!1),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const s=e.model.inspection_policy.hit_test(t,e);i=i||e.model.inspection_policy.do_inspection(s,t,e,!1,!1)}return i}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){return null==this.inspectors[e.id]&&(this.inspectors[e.id]=new o.Selection),this.inspectors[e.id]}}i.SelectionManager=_,_.__name__=\"SelectionManager\",_.init_SelectionManager()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(79),n=e(80),h=e(91),o=e(92),a=e(94),r=e(95),_=e(70),d=s.__importStar(e(19)),c=e(12),g=e(9),p=e(24),y=e(96),u=e(88),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e.mixins,\"fill\"),i=g.includes(e.mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const r=l(v);this.decimated_glyph=await this.build_glyph_view(r),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s),this.decimated_glyph.set_visuals(s),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s),this.nonselection_glyph.set_visuals(s)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:c.map(Object.keys(u.multiline_indices),e=>parseInt(e)))()),v=c.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,R=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);R=Date.now()-e,D=Date.now(),b.render(d,s,this.glyph),x.render(d,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(d,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(d,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(d,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(d,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e.id==this.glyph.model.id&&this.hover_glyph.render(d,this.all_indices,this.glyph);else w.render(d,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(d,v,this.glyph);const V=Date.now()-D;this.last_dtrender=V;const $=Date.now()-e;_.logger.debug(`${this.glyph.model.type} GlyphRenderer (${this.model.id}): render finished in ${$}ms`),_.logger.trace(` - map_data finished in : ${i}ms`),_.logger.trace(` - mask_data finished in : ${r}ms`),null!=R&&_.logger.trace(` - selection mask finished in : ${R}ms`),_.logger.trace(` - glyph renders finished in : ${V}ms`),d.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[d.Instance],view:[d.Instance,()=>new r.CDSView],glyph:[d.Instance],hover_glyph:[d.Instance],nonselection_glyph:[d.Any,\"auto\"],selection_glyph:[d.Any,\"auto\"],muted_glyph:[d.Instance],muted:[d.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=c.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(63),_=t.__importStar(e(19));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(81),_=e(90),l=s.__importStar(e(87));class r extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=l.create_empty_hit_test_result(),i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},r={x:this.sx[e+1],y:this.sy[e+1]},h=l.dist_to_segment(i,_,r);hthis,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=l.create_empty_hit_test_result();let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;ethis,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=r,r.__name__=\"LineView\";class h extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=r,this.mixins([\"line\"])}}i.Line=h,h.__name__=\"Line\",h.init_Line()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(82),n=e(86);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(84)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e=n)return;const o=s[h+n>>1];let r=h-1,_=n+1;for(;;){do{r++}while(s[r]o);if(r>=_)break;a(s,i,e,r,_)}t(s,i,e,h,_),t(s,i,e,_+1,n)}(i,this._boxes,this._indices,0,this.numItems-1);for(let t=0,s=0;th&&(h=r),a>n&&(n=a)}this._indices[this._pos>>2]=o,this._boxes[this._pos++]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4,o=this._levelBounds.length-1;const r=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,this._levelBounds[o]);for(let d=n;d<_;d+=4){const _=0|this._indices[d>>2];ithis._boxes[d+2]||s>this._boxes[d+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):(r.push(_),r.push(o-1))))}o=r.pop(),n=r.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],l=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=l;const u=i[e];i[e]=i[h],i[h]=u}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,l=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),l=16711935&(l|l<<8),l=252645135&(l|l<<4),l=858993459&(l|l<<2),l=1431655765&(l|l<<1),(l<<1|d)>>>0}i.default=n},\n", - " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,e=this.values[s];if(t>=e)break;this.ids[i]=this.ids[s],this.values[i]=e,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let e=0;for(;e=t)break;this.ids[e]=h,this.values[e]=l,e=s}this.ids[e]=s,this.values[e]=t}return s}peek(){return this.ids[0]}peekValue(){return this.values[0]}}},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;hi.__importStar(t(358)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;c.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t){this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=a.empty(),e=this.index.search(a.positive_x());for(const s of e)s.x0t.x1&&(t.x1=s.x1);const s=this.index.search(a.positive_y());for(const e of s)e.y0t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=d.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?d.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):d.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(c.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:r}=t,[a,_]=this.renderer.xscale.r_invert(e,s),[l,o]=this.renderer.yscale.r_invert(i,r),h=n.create_empty_hit_test_result();return h.indices=this.index.indices({x0:a,x1:_,y0:l,y1:o}),h}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(this.visuals.set_all_indices(e),e&&!(this instanceof u.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(p.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=_.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=_.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=_.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=_.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=`_${s}`,i=`_${i}`,null!=n._xs?(t instanceof g.FactorRange&&(n[s]=d.map(n[s],e=>t.v_synthetic(e))),e instanceof g.FactorRange&&(n[i]=d.map(n[i],t=>e.v_synthetic(t)))):(t instanceof g.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof g.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=`s${e}`,n=`s${s}`;if(e=`_${e}`,s=`_${s}`,null!=t[e]&&(y.isArray(t[e][0])||y.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;a1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}e.point_in_poly=function(t,n,e,i){let r=!1,s=e[e.length-1],o=i[i.length-1];for(let c=0;cn).map(([t,n])=>t),n},e.dist_2_pts=o,e.dist_to_segment_squared=c,e.dist_to_segment=function(t,n,e){return Math.sqrt(c(t,n,e))},e.check_2_segments_intersect=function(t,n,e,i,r,s,o,c){const u=(c-s)*(e-t)-(o-r)*(i-n);if(0==u)return{hit:!1,x:null,y:null};{let _=n-s,l=t-r;const h=(e-t)*_-(i-n)*l;return _=((o-r)*_-(c-s)*l)/u,l=h/u,{hit:_>0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(89),r=s.__importStar(t(19)),a=t(12),o=t(9),p=t(8),h=t(11);function g(t,n,i=0){const s={};for(let e=0;ea[t].value));e[t]={value:u/s,mapping:a},p+=s+n+c}return[e,a,(a.length-1)*n+h]}function u(t,n,i,s,e=0){const r={},a={},p=[];for(const[n,i,s]of t)n in a||(a[n]=[],p.push(n)),a[n].push([i,s]);const h=[];let g=e,u=0;for(const t of p){const e=a[t].length,[p,l,_]=c(a[t],i,s,g);for(const n of l)h.push([t,n]);u+=_;const d=o.sum(a[t].map(([t])=>p[t].value));r[t]={value:d/e,mapping:p},g+=e+n+_}return[r,p,h,(p.length-1)*n+u]}i.map_one_level=g,i.map_two_levels=c,i.map_three_levels=u;class l extends e.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null],tops_groups:[r.Array]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){if(1==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])?n[t[0]].value:NaN}if(2==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])?n[t[0]].mapping[t[1]].value:NaN}if(3==t.length){const n=this._mapping;return n.hasOwnProperty(t[0])&&n[t[0]].mapping.hasOwnProperty(t[1])&&n[t[0]].mapping[t[1]].mapping.hasOwnProperty(t[2])?n[t[0]].mapping[t[1]].mapping[t[2]].value:NaN}h.unreachable()}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let n=0;const i=t[t.length-1];return p.isNumber(i)&&(n=i,t=t.slice(0,-1)),this._lookup(t)+n}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){let n,i;this.tops=null,this.mids=null,o.every(this.factors,p.isString)?(n=1,[this._mapping,i]=g(this.factors,this.factor_padding)):o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))?(n=2,[this._mapping,this.tops,i]=c(this.factors,this.group_padding,this.factor_padding)):o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))?(n=3,[this._mapping,this.tops,this.mids,i]=u(this.factors,this.group_padding,this.subgroup_padding,this.factor_padding)):h.unreachable();let s=0,e=this.factors.length+i;if(\"percent\"==this.range_padding_units){const t=(e-s)*this.range_padding/2;s-=t,e+=t}else s-=this.range_padding,e+=this.range_padding;this.setv({start:s,end:e,levels:n},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[s,e]},{silent:!0})}}i.FactorRange=l,l.__name__=\"FactorRange\",l.init_FactorRange()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(69),r=i.__importStar(e(19));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(87));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(81),_=e(90),n=s.__importStar(e(87));class a extends l.XYGlyphView{_inner_loop(e,t,i,s,l){for(const _ of t)0!=_?isNaN(i[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(i[_],s[_]):(e.beginPath(),e.moveTo(i[_],s[_]));e.closePath(),l.call(e)}_render(e,t,{sx:i,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,t,i,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,t,i,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,t,i,s,e.stroke))}draw_legend_for_index(e,t,i){_.generic_area_legend(this.visuals,e,t,i)}_hit_point(e){const t=n.create_empty_hit_test_result();return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(t.add_to_selected_glyphs(this.model),t.get_view=()=>this),t}}i.PatchView=a,a.__name__=\"PatchView\";class o extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=a,this.mixins([\"line\",\"fill\",\"hatch\"])}}i.Patch=o,o.__name__=\"Patch\",o.init_Patch()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sy.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;ethis),t}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=h,h.__name__=\"HAreaView\";class l extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=h,this.define({x1:[a.CoordinateSpec],x2:[a.CoordinateSpec],y:[a.CoordinateSpec]})}}s.HArea=l,l.__name__=\"HArea\",l.init_HArea()},\n", - " function _(e,i,_){Object.defineProperty(_,\"__esModule\",{value:!0});const a=e(86),n=e(90);class s extends a.GlyphView{draw_legend_for_index(e,i,_){n.generic_area_legend(this.visuals,e,i,_)}}_.AreaView=s,s.__name__=\"AreaView\";class r extends a.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([\"fill\",\"hatch\"])}}_.Area=r,r.__name__=\"Area\",r.init_Area()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(93),n=e(82),_=i.__importStar(e(87)),a=i.__importStar(e(19));class h extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=_.create_empty_hit_test_result(),s=this.sx.length,i=new Float64Array(2*s),r=new Float64Array(2*s);for(let e=0,t=s;ethis),t}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=h,h.__name__=\"VAreaView\";class l extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=h,this.define({x:[a.CoordinateSpec],y1:[a.CoordinateSpec],y2:[a.CoordinateSpec]})}}s.VArea=l,l.__name__=\"VArea\",l.init_VArea()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(69),c=t.__importStar(i(19)),o=i(76),r=i(9),_=i(74);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(9);async function o(e,n,t){const i=new e(Object.assign(Object.assign({},t),{model:n}));return i.initialize(),await i.lazy_initialize(),i}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const i=await o(t(e),e,n);return i.connect_signals(),i},t.build_views=async function(e,n,t={parent:null},c=(e=>e.default_view)){const s=i.difference(Object.keys(e),n.map(e=>e.id));for(const n of s)e[n].remove(),delete e[n];const a=[],l=n.filter(n=>null==e[n.id]);for(const n of l){const i=await o(c(n),n,t);e[n.id]=i,a.push(i)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const n in e)e[n].remove(),delete e[n]}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(79),a=e(98),i=s.__importStar(e(19)),d=e(96);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views={}}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[i.Instance],node_renderer:[i.Instance],edge_renderer:[i.Instance],selection_policy:[i.Instance,()=>new a.NodesOnly],inspection_policy:[i.Instance,()=>new a.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n", - " function _(e,t,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(69),s=e(12),o=e(9),_=e(87);class i extends n.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const d=t.node_view.glyph.hit_test(e);return null==d?null:t.node_view.model.view.convert_selection_from_subset(d)}_hit_test_edges(e,t){if(!t.model.visible)return null;const d=t.edge_view.glyph.hit_test(e);return null==d?null:t.edge_view.model.view.convert_selection_from_subset(d)}}d.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,d,n){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,d,n),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.model.get_selection_manager().get_or_create_inspector(d.node_view.model);return o.update(e,n,s),d.node_view.model.data_source.setv({inspected:o},{silent:!0}),d.node_view.model.data_source.inspect.emit([d.node_view,{geometry:t}]),!o.is_empty()}}d.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,d){let n=[];\"selection\"==d?n=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==d&&(n=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;es.indexOf(e.data.index,t)),c=_.create_empty_hit_test_result();return c.indices=r,c}do_selection(e,t,d,n){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,d,n);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,d,n),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,d,n,s){if(null==e)return!1;const o=d.edge_view.model.data_source.selection_manager.get_or_create_inspector(d.edge_view.model);o.update(e,n,s),d.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=d.node_view.model.data_source.selection_manager.get_or_create_inspector(d.node_view.model),i=this.get_linked_nodes(d.node_view.model.data_source,d.edge_view.model.data_source,\"inspection\");return _.update(i,n,s),d.node_view.model.data_source.setv({inspected:_},{silent:!0}),d.edge_view.model.data_source.inspect.emit([d.edge_view,{geometry:t}]),!o.is_empty()}}d.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(69);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n", - " function _(r,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=r(8),a=r(101);function o(r){const n=new Uint8Array(r.buffer,r.byteOffset,2*r.length);for(let r=0,t=n.length;rString.fromCharCode(r));return btoa(t.join(\"\"))}function y(r){const n=atob(r),t=n.length,e=new Uint8Array(t);for(let r=0,a=t;rr.filter(r=>0!=r.length))]}function d(r,n){const t=[];for(let a=0,o=r.length;a{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentChangedEvent=o,o.__name__=\"DocumentChangedEvent\";class r extends o{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(\"\",t,null);return n.HasProps._value_record_references(t,{},!0),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=r,r.__name__=\"MessageSentEvent\";class d extends o{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(this.attr,t,this.model),o={};n.HasProps._value_record_references(t,o,!0),this.model.id in o&&this.model!==t&&delete o[this.model.id];for(const t in o)e[t]=o[t];return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=d,d.__name__=\"ModelChangedEvent\";class i extends o{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=i,i.__name__=\"ColumnsPatchedEvent\";class _ extends o{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=_,_.__name__=\"ColumnsStreamedEvent\";class a extends o{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=a,a.__name__=\"TitleChangedEvent\";class l extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,!0),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=l,l.__name__=\"RootAddedEvent\";class h extends o{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=h,h.__name__=\"RootRemovedEvent\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(29),o=e(73),l=i.__importStar(e(19));class a extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;tnew o.ColumnDataSource],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=n,n.__name__=\"Band\",n.init_Band()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),l=t(29),o=t(14),n=t(66),a=s.__importStar(t(19)),h=t(85),r=t(106);e.EDGE_TOLERANCE=2.5;class d extends l.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.classList.add(r.bk_shading),n.undisplay(this.el)}connect_signals(){super.connect_signals(),\"css\"==this.model.render_mode?(this.connect(this.model.change,()=>this.render()),this.connect(this.model.data_update,()=>this.render())):(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render()))}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return void n.undisplay(this.el);const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,l)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):l,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),(\"css\"==this.model.render_mode?this._css_box.bind(this):this._canvas_box.bind(this))(this.sleft,this.sright,this.sbottom,this.stop)}_css_box(t,i,e,s){const l=this.model.properties.line_width.value(),o=Math.floor(i-t)-l,a=Math.floor(e-s)-l;this.el.style.left=`${t}px`,this.el.style.width=`${o}px`,this.el.style.top=`${s}px`,this.el.style.height=`${a}px`,this.visuals.line.doit&&(this.el.style.borderWidth=`${l}px`,this.el.style.borderColor=this.model.properties.line_color.value()),this.visuals.fill.doit&&(this.el.style.backgroundColor=this.model.properties.fill_color.value(),this.el.style.opacity=this.model.properties.fill_alpha.value());const h=this.model.properties.line_dash.value().length<2?\"solid\":\"dashed\";this.el.style.borderStyle=h,n.display(this.el)}_canvas_box(t,i,e,s){const{ctx:l}=this.plot_view.canvas_view;l.save(),l.beginPath(),l.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(l),l.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(l),l.stroke()),l.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new h.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&tthis.stop&&ithis.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=c.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const s=o.getContext(\"2d\"),a=s.getImageData(0,0,t,e),l=new r.LinearColorMapper({palette:i}).rgba_mapper.v_compute(c.range(0,i.length));a.data.set(l),s.putImageData(a,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),s=this._title_extent(),a=this._tick_extent(),{padding:l}=this.model;let r,n;switch(this.model.orientation){case\"vertical\":r=e+s+2*l,n=i+a+o+2*l;break;case\"horizontal\":r=e+s+a+o+2*l,n=i+2*l}return{width:n,height:r}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,s=null!=this.panel?this.panel:this.plot_view.frame,[a,l]=s.bbox.ranges,{location:r}=this.model;let n,_;if(g.isString(r))switch(r){case\"top_left\":n=a.start+o,_=l.start+o;break;case\"top_center\":n=(a.end+a.start)/2-i/2,_=l.start+o;break;case\"top_right\":n=a.end-o-i,_=l.start+o;break;case\"bottom_right\":n=a.end-o-i,_=l.end-o-e;break;case\"bottom_center\":n=(a.end+a.start)/2-i/2,_=l.end-o-e;break;case\"bottom_left\":n=a.start+o,_=l.end-o-e;break;case\"center_left\":n=a.start+o,_=(l.end+l.start)/2-e/2;break;case\"center\":n=(a.end+a.start)/2-i/2,_=(l.end+l.start)/2-e/2;break;case\"center_right\":n=a.end-o-i,_=(l.end+l.start)/2-e/2}else if(g.isArray(r)&&2==r.length){const[t,i]=r;n=s.xview.compute(t),_=s.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.plot_view.canvas_view;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),s=this._computed_image_dimensions(),[a,l]=[s.width*i,s.height*o],[r,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(a,l),this.visuals.major_tick_line.set_value(t);for(let e=0,s=r.length;ei.measureText(t.toString()).width));break;case\"horizontal\":e=d.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?d.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?c.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,s;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=c.max([25*this.model.color_mapper.palette.length,.3*t]),o=c.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,s=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?s=e-2*this.model.padding:(s=c.max([25*this.model.color_mapper.palette.length,.3*e]),s=c.min([s,.8*e-2*this.model.padding])):s=this.model.width}return{width:s,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;tl||(h[o].push(n[t]),h[s].push(0));for(let t=0,e=_.length;tl||(m[o].push(_[t]),m[s].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[s]=h[s],c.minor[s]=m[s],\"vertical\"==this.model.orientation&&(c.major[o]=u.map(c.major[o],t=>e-t),c.minor[o]=u.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends s.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([\"text:major_label_\",\"text:title_\",\"line:major_tick_\",\"line:minor_tick_\",\"line:border_\",\"line:bar_\",\"fill:background_\"]),this.define({location:[m.Any,\"top_right\"],orientation:[m.Orientation,\"vertical\"],title:[m.String],title_standoff:[m.Number,2],width:[m.Any,\"auto\"],height:[m.Any,\"auto\"],scale_alpha:[m.Number,1],ticker:[m.Instance,()=>new a.BasicTicker],formatter:[m.Instance,()=>new l.BasicTickFormatter],major_label_overrides:[m.Any,{}],color_mapper:[m.Instance],label_standoff:[m.Number,5],margin:[m.Number,30],padding:[m.Number,10],major_tick_in:[m.Number,5],major_tick_out:[m.Number,0],minor_tick_in:[m.Number,0],minor_tick_out:[m.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", - " function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(109);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(110),n=t(9),r=a.__importStar(t(19));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(111),s=n.__importStar(t(19)),o=t(9),_=t(8);class c extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),c=Math.ceil(i/r);let u;u=_.isStrictNaN(s)||_.isStrictNaN(c)?[]:o.range(s,c+1);const a=u.map(t=>t*r).filter(e=>t<=e&&e<=i),l=this.num_minor_ticks,m=[];if(l>0&&a.length>0){const e=r/l,n=o.range(0,l).map(t=>t*e);for(const e of n.slice(1)){const n=a[0]-e;t<=n&&n<=i&&m.push(n)}for(const e of a)for(const r of n){const n=e+r;t<=n&&n<=i&&m.push(n)}}return{major:a,minor:m}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=c,c.__name__=\"ContinuousTicker\",c.init_ContinuousTicker()},\n", - " function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(69);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(113),n=r.__importStar(i(19));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;tu?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n", - " function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(116),e=i.__importStar(o(19));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(117),_=n.__importStar(t(19)),i=t(8),l=t(21),c=t(101);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;rt)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(118);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(69);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(120);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(121);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(122),s=n.__importStar(t(19));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;rt.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(`unknown mode: ${this.mode}`)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(120);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;ethis.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:_.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:_.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=`${s+n[0]}px`,this.el.style.top=`${i+n[1]}px`,this.el.style.color=`${this.visuals.text.text_color.value()}`,this.el.style.opacity=`${this.visuals.text.text_alpha.value()}`,this.el.style.font=`${this.visuals.text.font_value()}`,this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=`${this.visuals.background_fill.color_value()}`),this.visuals.border_line.doit&&(this.el.style.borderStyle=`${o}`,this.el.style.borderWidth=`${this.visuals.border_line.line_width.value()}px`,this.el.style.borderColor=`${this.visuals.border_line.color_value()}`),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=h,h.__name__=\"TextAnnotationView\";class c extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=c,c.__name__=\"TextAnnotation\",c.init_TextAnnotation()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(133),o=t(73),a=t(66),n=i.__importStar(t(19)),r=t(106);class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||a.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.plot_view.canvas_view,[s,i]=this._map_data();for(let l=0,o=this._text.length;lnew o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(29),n=s.__importStar(t(19)),h=t(14),a=t(131),_=t(85),o=t(9),r=t(24),d=t(8),c=t(11);class m extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=o.max([a.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.plot_view.canvas_view;n.save(),this.visuals.label_text.set_value(n),this.text_widths={};for(const e of t)this.text_widths[e]=o.max([n.measureText(e).width,l]);this.visuals.title_text.set_value(n),this.title_height=this.model.title?a.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(o.max(r.values(this.text_widths)),0),m=this.model.margin,{legend_padding:g}=this,b=this.model.spacing,{label_standoff:f}=this.model;let u,x;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*b+2*g+this.title_height,x=o.max([h+i+f+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*b;for(const t in this.text_widths){const s=this.text_widths[t];e+=o.max([s,l])+i+f}x=o.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const p=null!=this.panel?this.panel:this.plot_view.frame,[v,w]=p.bbox.ranges,{location:y}=this.model;let k,N;if(d.isString(y))switch(y){case\"top_left\":k=v.start+m,N=w.start+m;break;case\"top_center\":k=(v.end+v.start)/2-x/2,N=w.start+m;break;case\"top_right\":k=v.end-m-x,N=w.start+m;break;case\"bottom_right\":k=v.end-m-x,N=w.end-m-u;break;case\"bottom_center\":k=(v.end+v.start)/2-x/2,N=w.end-m-u;break;case\"bottom_left\":k=v.start+m,N=w.end-m-u;break;case\"center_left\":k=v.start+m,N=(w.end+w.start)/2-u/2;break;case\"center\":k=(v.end+v.start)/2-x/2,N=(w.end+w.start)/2-u/2;break;case\"center_right\":k=v.end-m-x,N=(w.end+w.start)/2-u/2}else if(d.isArray(y)&&2==y.length){const[t,e]=y;k=p.xview.compute(t),N=p.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:k,top:N,width:x,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const m of c){const c=o.x+a,g=o.y+i+this.title_height;let b,f;if([b,f]=r?[o.width-2*l,this.max_label_height]:[this.text_widths[m]+s+h,this.max_label_height],new _.BBox({left:c,top:g,width:b,height:f}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths[m]+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.plot_view.canvas_view,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,_=l;const r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),m=d.get_field_from_label_prop();if(0==c.length)continue;const g=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return o.every(d.renderers,t=>t.visible);case\"mute\":return o.every(d.renderers,t=>!t.muted)}})();for(const o of c){const c=e.x+a,b=e.y+_+this.title_height,f=c+i,u=b+s;r?_+=this.max_label_height+n:a+=this.text_widths[o]+i+h+n,this.visuals.label_text.set_value(t),t.fillText(o,f+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views[e.id].draw_legend(t,c,f,b,u,m,o,d.index)}if(!g){let s,n;[s,n]=r?[e.width-2*l,this.max_label_height]:[this.text_widths[o]+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=m,m.__name__=\"LegendView\";class g extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new h.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=m,this.mixins([\"text:label_\",\"text:title_\",\"fill:inactive_\",\"line:border_\",\"fill:background_\"]),this.define({orientation:[n.Orientation,\"vertical\"],location:[n.Any,\"top_right\"],title:[n.String],title_standoff:[n.Number,5],label_standoff:[n.Number,5],glyph_height:[n.Number,20],glyph_width:[n.Number,20],label_height:[n.Number,20],label_width:[n.Number,20],margin:[n.Number,10],padding:[n.Number,10],spacing:[n.Number,3],items:[n.Array,[]],click_policy:[n.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=g,g.__name__=\"Legend\",g.init_Legend()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(69),i=e(74),s=e(137),_=t.__importStar(e(19)),o=e(70),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(`Bad column name on label: ${this.label}`)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(29),l=t(14),o=n.__importStar(t(19));class a extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.plot_view.canvas_view;for(let s=0,l=t.length;sthis.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,a=(s.invert(l)-t)/e,_=(s.invert(o)-t)/e,r=n.compute(a),c=n.compute(_),{ctx:u}=this.plot_view.canvas_view;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(r,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=o,o.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=o,this.mixins([\"line\"]),this.define({gradient:[l.Number,null],y_intercept:[l.Number,null],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),o=e(29),n=e(66),l=s.__importStar(e(19));class a extends o.AnnotationView{initialize(){super.initialize(),this.plot_view.canvas_view.add_overlay(this.el),this.el.style.position=\"absolute\",n.undisplay(this.el)}connect_signals(){super.connect_signals(),this.model.for_hover?this.connect(this.model.properties.computed_location.change,()=>this._draw_span()):\"canvas\"==this.model.render_mode?(this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.properties.location.change,()=>this.plot_view.request_render())):(this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.location.change,()=>this._draw_span()))}render(){this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),this.model.visible&&this._draw_span()}_draw_span(){const e=this.model.for_hover?this.model.computed_location:this.model.location;if(null==e)return void n.undisplay(this.el);const{frame:i}=this.plot_view,t=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],o=(i,t)=>this.model.for_hover?this.model.computed_location:\"data\"==this.model.location_units?i.compute(e):t.compute(e);let l,a,h,d;if(\"width\"==this.model.dimension?(h=o(s,i.yview),a=i._left.value,d=i._width.value,l=this.model.properties.line_width.value()):(h=i._top.value,a=o(t,i.xview),d=this.model.properties.line_width.value(),l=i._height.value),\"css\"==this.model.render_mode)this.el.style.top=`${h}px`,this.el.style.left=`${a}px`,this.el.style.width=`${d}px`,this.el.style.height=`${l}px`,this.el.style.backgroundColor=this.model.properties.line_color.value(),this.el.style.opacity=this.model.properties.line_alpha.value(),n.display(this.el);else if(\"canvas\"==this.model.render_mode){const{ctx:e}=this.plot_view.canvas_view;e.save(),e.beginPath(),this.visuals.line.set_value(e),e.moveTo(a,h),\"width\"==this.model.dimension?e.lineTo(a+d,h):e.lineTo(a,h+l),e.stroke(),e.restore()}}}t.SpanView=a,a.__name__=\"SpanView\";class h extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=a,this.mixins([\"line\"]),this.define({render_mode:[l.RenderMode,\"canvas\"],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],location:[l.Number,null],location_units:[l.SpatialUnits,\"data\"],dimension:[l.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[l.Boolean,!1],computed_location:[l.Number,null]})}}t.Span=h,h.__name__=\"Span\",h.init_Span()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(133),s=e(66),n=e(68),o=l.__importStar(e(19));class r extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.plot_view.canvas_view.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.ctx);const{width:t,ascent:i}=this.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=r,r.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=r,this.mixins([\"line:border_\",\"fill:background_\"]),this.define({text:[o.String],text_font:[o.Font,\"helvetica\"],text_font_size:[o.FontSizeSpec,\"13px\"],text_font_style:[o.FontStyle,\"bold\"],text_color:[o.ColorSpec,\"#444444\"],text_alpha:[o.NumberSpec,1],text_line_height:[o.Number,1],vertical_align:[o.VerticalAlign,\"bottom\"],align:[o.TextAlign,\"left\"],offset:[o.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[o.TextAlign,\"left\"],text_baseline:[o.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(29),s=e(96),a=e(66),n=o.__importStar(e(19));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(29),o=t(66),a=i.__importStar(t(19)),h=t(144),n=t(145);function c(t,e,s,i,l){switch(t){case\"horizontal\":return ethis._draw_tips())}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=`${a}px`,this.el.style.left=r?`${r}px`:\"auto\",this.el.style.right=d?`${d}px`:\"auto\"):o.undisplay(this.el)}}s.TooltipView=r,r.__name__=\"TooltipView\";class d extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=r,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=d,d.__name__=\"Tooltip\",d.init_Tooltip()},\n", - " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=o(1);o(67),r.__importStar(o(66)).styles.append('.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'),n.bk_tooltip=\"bk-tooltip\",n.bk_tooltip_arrow=\"bk-tooltip-arrow\",n.bk_tooltip_custom=\"bk-tooltip-custom\",n.bk_tooltip_row_label=\"bk-tooltip-row-label\",n.bk_tooltip_row_value=\"bk-tooltip-row-value\",n.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", - " function _(e,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__importStar(e(66)).styles.append(\"\"),t.bk_active=\"bk-active\",t.bk_inline=\"bk-inline\",t.bk_left=\"bk-left\",t.bk_right=\"bk-right\",t.bk_above=\"bk-above\",t.bk_below=\"bk-below\",t.bk_up=\"bk-up\",t.bk_down=\"bk-down\",t.bk_side=function(e){switch(e){case\"above\":return t.bk_above;case\"below\":return t.bk_below;case\"left\":return t.bk_left;case\"right\":return t.bk_right}}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(29),o=e(73),a=e(72),n=i.__importStar(e(19));class h extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.plot_view.canvas_view;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;tnew a.TeeHead({level:\"underlay\",size:10})],upper:[n.DistanceSpec],upper_head:[n.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[n.DistanceSpec],dimension:[n.Dimension,\"height\"],source:[n.Instance,()=>new o.ColumnDataSource],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=_,_.__name__=\"Whisker\",_.init_Whisker()},\n", - " function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(148);e.Axis=r.Axis;var s=i(150);e.CategoricalAxis=s.CategoricalAxis;var x=i(153);e.ContinuousAxis=x.ContinuousAxis;var A=i(154);e.DatetimeAxis=A.DatetimeAxis;var o=i(155);e.LinearAxis=o.LinearAxis;var t=i(168);e.LogAxis=t.LogAxis;var n=i(171);e.MercatorAxis=n.MercatorAxis},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(149),l=s.__importStar(e(19)),n=e(9),o=e(8),r=e(88),{abs:_,min:h,max:c}=Math;class m extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.plot_view.canvas_view.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;tc&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;i_(n-o)?(e=c(h(a,l),n),s=h(c(a,l),o)):(e=h(a,l),s=c(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;ic||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(o.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof r.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=m,m.__name__=\"AxisView\";class d extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=m,this.mixins([\"line:axis_\",\"line:major_tick_\",\"line:minor_tick_\",\"text:major_label_\",\"text:axis_label_\"]),this.define({bounds:[l.Any,\"auto\"],ticker:[l.Instance],formatter:[l.Instance],x_range_name:[l.String,\"default\"],y_range_name:[l.String,\"default\"],axis_label:[l.String,\"\"],axis_label_standoff:[l.Int,5],major_label_standoff:[l.Int,5],major_label_orientation:[l.Any,\"horizontal\"],major_label_overrides:[l.Any,{}],major_tick_in:[l.Number,2],major_tick_out:[l.Number,6],minor_tick_in:[l.Number,0],minor_tick_out:[l.Number,4],fixed_location:[l.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=d,d.__name__=\"Axis\",d.init_Axis()},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const n=e(63);class i extends n.RendererView{}d.GuideRendererView=i,i.__name__=\"GuideRendererView\";class t extends n.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"overlay\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n", - " function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(148),r=t(151),a=t(152),l=e.__importStar(t(19));class _ extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&ht[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=_,_.__name__=\"CategoricalAxisView\";class n extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=_,this.mixins([\"line:separator_\",\"text:group_\",\"text:subgroup_\"]),this.define({group_label_orientation:[l.Any,\"parallel\"],subgroup_label_orientation:[l.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=n,n.__name__=\"CategoricalAxis\",n.init_CategoricalAxis()},\n", - " function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(111);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&tnew r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(148),n=e(153),r=e(112),a=e(108);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(157)),n=t(113),o=t(70),a=r.__importStar(t(19)),c=t(158),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(`unable to format tick for timestamp value ${s}`),o.logger.warn(` - ${t}`),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=`0${s}`),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n", - " function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n", - " function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(159)),u=r(160),a=t.__importDefault(r(157)),f=r(26),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return`${r}`}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return`${f.escape(\"???\")}`;if(\"safe\"==a)return`${o}`;const l=c(u,a,t);return`${f.escape(l(o,a,i))}`})}},\n", - " function _(e,n,t){\n", - " /*!\n", - " * numbro.js\n", - " * version : 1.6.2\n", - " * author : Företagsplatsen AB\n", - " * license : MIT\n", - " * http://www.foretagsplatsen.se\n", - " */\n", - " var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ \",\"\")):l=l.replace(\"$\",\"\");if(a=h(e,l,t,p),-1===n.indexOf(\"$\"))switch(i[o].currency.position){case\"postfix\":a.indexOf(\")\")>-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;break;case\"infix\":break;case\"prefix\":a.indexOf(\"(\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=Math.max(c,f)+1,a.splice(r,0,i[o].currency.symbol+d),a=a.join(\"\")):a=i[o].currency.symbol+d+a;break;default:throw Error('Currency position should be among [\"prefix\", \"infix\", \"postfix\"]')}else u<=1?a.indexOf(\"(\")>-1||a.indexOf(\"+\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=1,(u-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;return a}(e,n,t):n.indexOf(\"%\")>-1?function(e,n,t){var r,i=\"\";e*=100,n.indexOf(\" %\")>-1?(i=\" \",n=n.replace(\" %\",\"\")):n=n.replace(\"%\",\"\");(r=h(e,n,t)).indexOf(\")\")>-1?((r=r.split(\"\")).splice(-1,0,i+\"%\"),r=r.join(\"\")):r=r+i+\"%\";return r}(e,n,t):n.indexOf(\":\")>-1?function(e){var n=Math.floor(e/60/60),t=Math.floor((e-60*n*60)/60),r=Math.round(e-60*n*60-60*t);return n+\":\"+(t<10?\"0\"+t:t)+\":\"+(r<10?\"0\"+r:r)}(e):h(e,n,t)}function h(e,n,t,r){var a,u,c,s,d,h,p,m,x,g,O,b,w,y,M,v,$,B=!1,E=!1,F=!1,k=\"\",U=!1,N=!1,S=!1,j=!1,D=!1,C=\"\",L=\"\",T=Math.abs(e),K=[\"B\",\"KiB\",\"MiB\",\"GiB\",\"TiB\",\"PiB\",\"EiB\",\"ZiB\",\"YiB\"],G=[\"B\",\"KB\",\"MB\",\"GB\",\"TB\",\"PB\",\"EB\",\"ZB\",\"YB\"],I=\"\",P=!1,R=!1;if(0===e&&null!==l)return l;if(!isFinite(e))return\"\"+e;if(0===n.indexOf(\"{\")){var W=n.indexOf(\"}\");if(-1===W)throw Error('Format should also contain a \"}\"');b=n.slice(1,W),n=n.slice(W+1)}else b=\"\";if(n.indexOf(\"}\")===n.length-1){var Y=n.indexOf(\"{\");if(-1===Y)throw Error('Format should also contain a \"{\"');w=n.slice(Y+1,-1),n=n.slice(0,Y+1)}else w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" a\",\"\")):n=n.replace(\"a\",\"\"),p=0===(p=(d=Math.floor(Math.log(T)/Math.LN10)+1)%3)?3:p,g&&0!==T&&(h=Math.floor(Math.log(T)/Math.LN10)+1-g,m=3*~~((Math.min(g,d)-p)/3),T/=Math.pow(10,m),-1===n.indexOf(\".\")&&g>3))for(n+=\"[.]\",M=(M=0===h?0:3*~~(h/3)-h)<0?M+3:M,a=0;a=Math.pow(10,12)&&!D||j?(k+=i[o].abbreviations.trillion,e/=Math.pow(10,12)):T=Math.pow(10,9)&&!D||S?(k+=i[o].abbreviations.billion,e/=Math.pow(10,9)):T=Math.pow(10,6)&&!D||N?(k+=i[o].abbreviations.million,e/=Math.pow(10,6)):(T=Math.pow(10,3)&&!D||U)&&(k+=i[o].abbreviations.thousand,e/=Math.pow(10,3)))}if(n.indexOf(\"b\")>-1)for(n.indexOf(\" b\")>-1?(C=\" \",n=n.replace(\" b\",\"\")):n=n.replace(\"b\",\"\"),s=0;s<=K.length;s++)if(u=Math.pow(1024,s),c=Math.pow(1024,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"d\")>-1)for(n.indexOf(\" d\")>-1?(C=\" \",n=n.replace(\" d\",\"\")):n=n.replace(\"d\",\"\"),s=0;s<=G.length;s++)if(u=Math.pow(1e3,s),c=Math.pow(1e3,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"o\")>-1&&(n.indexOf(\" o\")>-1?(L=\" \",n=n.replace(\" o\",\"\")):n=n.replace(\"o\",\"\"),i[o].ordinal&&(L+=i[o].ordinal(e))),n.indexOf(\"[.]\")>-1&&(F=!0,n=n.replace(\"[.]\",\".\")),x=e.toString().split(\".\")[0],O=n.split(\".\")[1],y=n.indexOf(\",\"),O){if(x=(I=-1!==O.indexOf(\"*\")?f(e,e.toString().split(\".\")[1].length,t):O.indexOf(\"[\")>-1?f(e,(O=(O=O.replace(\"]\",\"\")).split(\"[\"))[0].length+O[1].length,t,O[1].length):f(e,O.length,t)).split(\".\")[0],I.split(\".\")[1].length)I=(r?k+r:i[o].delimiters.decimal)+I.split(\".\")[1];else I=\"\";F&&0===Number(I.slice(1))&&(I=\"\")}else x=f(e,null,t);return x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n", - " function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(109),s=e(162),r=e(163),c=e(166),_=e(167),m=e(165);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(110),n=r.__importStar(t(19)),_=t(9),a=t(24);class c extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],c=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let l;if(a.isEmpty(c.filter(t=>!isNaN(t))))l=this.tickers[0];else{const t=n[_.argmin(c)];l=this.tickers[t]}return l}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=c,c.__name__=\"CompositeTicker\",c.init_CompositeTicker()},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(164),a=t(165),o=i.__importStar(t(19)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(110),l=n.__importStar(e(19));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", - " function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(164),s=t(165),a=r.__importStar(t(19)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(108),r=e(164),n=e(165);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(148),o=e(153),n=e(169),r=e(170);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(113),a=t(112),n=i.__importStar(t(19));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(109),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(148),s=e(155),o=e(172),a=e(173);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(112),i=o.__importStar(r(19)),c=r(30);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n{const n=i.replace_placeholders(this.url,t,e);this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=r,r.__name__=\"OpenURL\",r.init_OpenURL()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(179);r.Canvas=n.Canvas;var s=a(183);r.CartesianFrame=s.CartesianFrame},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(1),i=e(13),n=e(64),l=e(70),o=a.__importStar(e(19)),c=e(66),d=e(85),h=e(180),_=e(181),r=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),v=a.__importDefault(e(182));class p extends n.DOMView{get ctx(){return this._ctx}initialize(){super.initialize();const e={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};switch(this.model.output_backend){case\"webgl\":this.webgl=r;case\"canvas\":{this.canvas_el=c.canvas({class:_.bk_canvas,style:e});const t=this.canvas_el.getContext(\"2d\");if(null==t)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=t;break}case\"svg\":{const e=new v.default;this._ctx=e,this.canvas_el=e.getSvg();break}}this.underlays_el=c.div({class:_.bk_canvas_underlays,style:e}),this.overlays_el=c.div({class:_.bk_canvas_overlays,style:e}),this.events_el=c.div({class:_.bk_canvas_events,style:e}),c.append(this.el,this.underlays_el,this.canvas_el,this.overlays_el,this.events_el),h.fixup_ctx(this._ctx),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}prepare_canvas(e,t){this.bbox=new d.BBox({left:0,top:0,width:e,height:t}),this.el.style.width=`${e}px`,this.el.style.height=`${t}px`;const{use_hidpi:s,output_backend:a}=this.model,i=s&&\"svg\"!=a?devicePixelRatio:1;this.model.pixel_ratio=i,this.canvas_el.style.width=`${e}px`,this.canvas_el.style.height=`${t}px`,this.canvas_el.setAttribute(\"width\",`${e*i}`),this.canvas_el.setAttribute(\"height\",`${t*i}`),l.logger.debug(`Rendering CanvasView with width: ${e}, height: ${t}, pixel ratio: ${i}`)}save(e){if(this.canvas_el instanceof HTMLCanvasElement){const t=this.canvas_el;if(null!=t.msToBlob){const s=t.msToBlob();window.navigator.msSaveBlob(s,e)}else{const s=document.createElement(\"a\");s.href=t.toDataURL(\"image/png\"),s.download=e+\".png\",s.target=\"_blank\",s.dispatchEvent(new MouseEvent(\"click\"))}}else{const t=this._ctx.getSerializedSvg(!0),s=new Blob([t],{type:\"text/plain\"}),a=document.createElement(\"a\");a.download=e+\".svg\",a.innerHTML=\"Download svg\",a.href=window.URL.createObjectURL(s),a.onclick=e=>document.body.removeChild(e.target),a.style.display=\"none\",document.body.appendChild(a),a.click()}}}s.CanvasView=p,p.__name__=\"CanvasView\";class u extends i.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=p,this.internal({use_hidpi:[o.Boolean,!0],pixel_ratio:[o.Number,1],output_backend:[o.OutputBackend,\"canvas\"]})}}s.Canvas=u,u.__name__=\"Canvas\",u.init_Canvas()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){e.setLineDash||(e.setLineDash=t=>{e.mozDash=t,e.webkitLineDash=t}),e.getLineDash||(e.getLineDash=()=>e.mozDash)}(e),function(e){e.setLineDashOffset=t=>{e.lineDashOffset=t,e.mozDashOffset=t,e.webkitLineDashOffset=t},e.getLineDashOffset=()=>e.mozDashOffset}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,a,o,s,i,m,h=!1){const l=.551784;e.translate(t,n),e.rotate(s);let u=a,r=o;h&&(u=-a,r=-o),e.moveTo(-u,0),e.bezierCurveTo(-u,r*l,-u*l,r,0,r),e.bezierCurveTo(u*l,r,u,r*l,u,0),e.bezierCurveTo(u,-r*l,u*l,-r,0,-r),e.bezierCurveTo(-u*l,-r,-u,-r*l,-u,0),e.rotate(-s),e.translate(-t,-n)})}(e)}},\n", - " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),a(67),n.bk_canvas=\"bk-canvas\",n.bk_canvas_underlays=\"bk-canvas-underlays\",n.bk_canvas_overlays=\"bk-canvas-overlays\",n.bk_canvas_events=\"bk-canvas-events\"},\n", - " function _(t,e,r){var i,n,s,a,o;function h(t,e){var r,i=Object.keys(e);for(r=0;r1?((e=r).width=arguments[0],e.height=arguments[1]):e=t||r,!(this instanceof n))return new n(e);this.width=e.width||r.width,this.height=e.height||r.height,this.enableMirroring=void 0!==e.enableMirroring?e.enableMirroring:r.enableMirroring,this.canvas=this,this.__document=e.document||document,e.ctx?this.__ctx=e.ctx:(this.__canvas=this.__document.createElement(\"canvas\"),this.__ctx=this.__canvas.getContext(\"2d\")),this.__setDefaultStyles(),this.__stack=[this.__getStyleState()],this.__groupStack=[],this.__root=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\"),this.__root.setAttribute(\"version\",1.1),this.__root.setAttribute(\"xmlns\",\"http://www.w3.org/2000/svg\"),this.__root.setAttributeNS(\"http://www.w3.org/2000/xmlns/\",\"xmlns:xlink\",\"http://www.w3.org/1999/xlink\"),this.__root.setAttribute(\"width\",this.width),this.__root.setAttribute(\"height\",this.height),this.__ids={},this.__defs=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"defs\"),this.__root.appendChild(this.__defs),this.__currentElement=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"g\"),this.__root.appendChild(this.__currentElement)}).prototype.__createElement=function(t,e,r){void 0===e&&(e={});var i,n,s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",t),a=Object.keys(e);for(r&&(s.setAttribute(\"fill\",\"none\"),s.setAttribute(\"stroke\",\"none\")),i=0;i0){\"path\"===this.__currentElement.nodeName&&(this.__currentElementsToStyle||(this.__currentElementsToStyle={element:e,children:[]}),this.__currentElementsToStyle.children.push(this.__currentElement),this.__applyCurrentDefaultPath());var r=this.__createElement(\"g\");e.appendChild(r),this.__currentElement=r}var i=this.__currentElement.getAttribute(\"transform\");i?i+=\" \":i=\"\",i+=t,this.__currentElement.setAttribute(\"transform\",i)},n.prototype.scale=function(t,e){void 0===e&&(e=t),this.__addTransform(h(\"scale({x},{y})\",{x:t,y:e}))},n.prototype.rotate=function(t){var e=180*t/Math.PI;this.__addTransform(h(\"rotate({angle},{cx},{cy})\",{angle:e,cx:0,cy:0}))},n.prototype.translate=function(t,e){this.__addTransform(h(\"translate({x},{y})\",{x:t,y:e}))},n.prototype.transform=function(t,e,r,i,n,s){this.__addTransform(h(\"matrix({a},{b},{c},{d},{e},{f})\",{a:t,b:e,c:r,d:i,e:n,f:s}))},n.prototype.beginPath=function(){var t;this.__currentDefaultPath=\"\",this.__currentPosition={},t=this.__createElement(\"path\",{},!0),this.__closestGroupOrSvg().appendChild(t),this.__currentElement=t},n.prototype.__applyCurrentDefaultPath=function(){var t=this.__currentElement;\"path\"===t.nodeName?t.setAttribute(\"d\",this.__currentDefaultPath):console.error(\"Attempted to apply path command to node\",t.nodeName)},n.prototype.__addPathCommand=function(t){this.__currentDefaultPath+=\" \",this.__currentDefaultPath+=t},n.prototype.moveTo=function(t,e){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.__currentPosition={x:t,y:e},this.__addPathCommand(h(\"M {x} {y}\",{x:t,y:e}))},n.prototype.closePath=function(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")},n.prototype.lineTo=function(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(h(\"L {x} {y}\",{x:t,y:e})):this.__addPathCommand(h(\"M {x} {y}\",{x:t,y:e}))},n.prototype.bezierCurveTo=function(t,e,r,i,n,s){this.__currentPosition={x:n,y:s},this.__addPathCommand(h(\"C {cp1x} {cp1y} {cp2x} {cp2y} {x} {y}\",{cp1x:t,cp1y:e,cp2x:r,cp2y:i,x:n,y:s}))},n.prototype.quadraticCurveTo=function(t,e,r,i){this.__currentPosition={x:r,y:i},this.__addPathCommand(h(\"Q {cpx} {cpy} {x} {y}\",{cpx:t,cpy:e,x:r,y:i}))};var p=function(t){var e=Math.sqrt(t[0]*t[0]+t[1]*t[1]);return[t[0]/e,t[1]/e]};n.prototype.arcTo=function(t,e,r,i,n){var s=this.__currentPosition&&this.__currentPosition.x,a=this.__currentPosition&&this.__currentPosition.y;if(void 0!==s&&void 0!==a){if(n<0)throw new Error(\"IndexSizeError: The radius provided (\"+n+\") is negative.\");if(s===t&&a===e||t===r&&e===i||0===n)this.lineTo(t,e);else{var o=p([s-t,a-e]),h=p([r-t,i-e]);if(o[0]*h[1]!=o[1]*h[0]){var l=o[0]*h[0]+o[1]*h[1],c=Math.acos(Math.abs(l)),_=p([o[0]+h[0],o[1]+h[1]]),u=n/Math.sin(c/2),d=t+u*_[0],g=e+u*_[1],m=[-o[1],o[0]],f=[h[1],-h[0]],y=function(t){var e=t[0];return t[1]>=0?Math.acos(e):-Math.acos(e)},v=y(m),b=y(f);this.lineTo(d+m[0]*n,g+m[1]*n),this.arc(d,g,n,v,b)}else this.lineTo(t,e)}}},n.prototype.stroke=function(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill stroke markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\")},n.prototype.fill=function(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke fill markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\")},n.prototype.rect=function(t,e,r,i){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+r,e),this.lineTo(t+r,e+i),this.lineTo(t,e+i),this.lineTo(t,e),this.closePath()},n.prototype.fillRect=function(t,e,r,i){var n;n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i},!0),this.__closestGroupOrSvg().appendChild(n),this.__currentElement=n,this.__applyStyleToCurrentElement(\"fill\")},n.prototype.strokeRect=function(t,e,r,i){var n;n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i},!0),this.__closestGroupOrSvg().appendChild(n),this.__currentElement=n,this.__applyStyleToCurrentElement(\"stroke\")},n.prototype.__clearCanvas=function(){for(var t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=this.__root.childNodes[1],r=e.childNodes,i=r.length-1;i>=0;i--)r[i]&&e.removeChild(r[i]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)},n.prototype.clearRect=function(t,e,r,i){if(0!==t||0!==e||r!==this.width||i!==this.height){var n,s=this.__closestGroupOrSvg();n=this.__createElement(\"rect\",{x:t,y:e,width:r,height:i,fill:\"#FFFFFF\"},!0),s.appendChild(n)}else this.__clearCanvas()},n.prototype.createLinearGradient=function(t,e,r,i){var n=this.__createElement(\"linearGradient\",{id:l(this.__ids),x1:t+\"px\",x2:r+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(n),new s(n,this)},n.prototype.createRadialGradient=function(t,e,r,i,n,a){var o=this.__createElement(\"radialGradient\",{id:l(this.__ids),cx:i+\"px\",cy:n+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new s(o,this)},n.prototype.__parseFont=function(){var t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\",href:null};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),this.__fontHref&&(e.href=this.__fontHref),e},n.prototype.__wrapTextLink=function(t,e){if(t.href){var r=this.__createElement(\"a\");return r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),r.appendChild(e),r}return e},n.prototype.__applyText=function(t,e,r,i){var n,s,a=this.__parseFont(),o=this.__closestGroupOrSvg(),h=this.__createElement(\"text\",{\"font-family\":a.family,\"font-size\":a.size,\"font-style\":a.style,\"font-weight\":a.weight,\"text-decoration\":a.decoration,x:e,y:r,\"text-anchor\":(n=this.textAlign,s={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"},s[n]||s.start),\"dominant-baseline\":c(this.textBaseline)},!0);h.appendChild(this.__document.createTextNode(t)),this.__currentElement=h,this.__applyStyleToCurrentElement(i),o.appendChild(this.__wrapTextLink(a,h))},n.prototype.fillText=function(t,e,r){this.__applyText(t,e,r,\"fill\")},n.prototype.strokeText=function(t,e,r){this.__applyText(t,e,r,\"stroke\")},n.prototype.measureText=function(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)},n.prototype.arc=function(t,e,r,i,n,s){if(i!==n){(i%=2*Math.PI)===(n%=2*Math.PI)&&(n=(n+2*Math.PI-.001*(s?-1:1))%(2*Math.PI));var a=t+r*Math.cos(n),o=e+r*Math.sin(n),l=t+r*Math.cos(i),c=e+r*Math.sin(i),p=s?0:1,_=0,u=n-i;u<0&&(u+=2*Math.PI),_=s?u>Math.PI?0:1:u>Math.PI?1:0,this.lineTo(l,c),this.__addPathCommand(h(\"A {rx} {ry} {xAxisRotation} {largeArcFlag} {sweepFlag} {endX} {endY}\",{rx:r,ry:r,xAxisRotation:0,largeArcFlag:_,sweepFlag:p,endX:a,endY:o})),this.__currentPosition={x:a,y:o}}},n.prototype.clip=function(){var t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),r=l(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",r),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",h(\"url(#{id})\",{id:r})),t.appendChild(i),this.__currentElement=i},n.prototype.drawImage=function(){var t,e,r,i,s,a,o,h,l,c,p,_,u,d,g=Array.prototype.slice.call(arguments),m=g[0],f=0,y=0;if(3===g.length)t=g[1],e=g[2],r=s=m.width,i=a=m.height;else if(5===g.length)t=g[1],e=g[2],r=g[3],i=g[4],s=m.width,a=m.height;else{if(9!==g.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);f=g[1],y=g[2],s=g[3],a=g[4],t=g[5],e=g[6],r=g[7],i=g[8]}o=this.__closestGroupOrSvg(),this.__currentElement;var v=\"translate(\"+t+\", \"+e+\")\";if(m instanceof n){if((h=m.getSvg().cloneNode(!0)).childNodes&&h.childNodes.length>1){for(l=h.childNodes[0];l.childNodes.length;)d=l.childNodes[0].getAttribute(\"id\"),this.__ids[d]=d,this.__defs.appendChild(l.childNodes[0]);if(c=h.childNodes[1]){var b,x=c.getAttribute(\"transform\");b=x?x+\" \"+v:v,c.setAttribute(\"transform\",b),o.appendChild(c)}}}else\"IMG\"===m.nodeName?((p=this.__createElement(\"image\")).setAttribute(\"width\",r),p.setAttribute(\"height\",i),p.setAttribute(\"preserveAspectRatio\",\"none\"),(f||y||s!==m.width||a!==m.height)&&((_=this.__document.createElement(\"canvas\")).width=r,_.height=i,(u=_.getContext(\"2d\")).drawImage(m,f,y,s,a,0,0,r,i),m=_),p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===m.nodeName?m.toDataURL():m.getAttribute(\"src\")),o.appendChild(p)):\"CANVAS\"===m.nodeName&&((p=this.__createElement(\"image\")).setAttribute(\"width\",r),p.setAttribute(\"height\",i),p.setAttribute(\"preserveAspectRatio\",\"none\"),(_=this.__document.createElement(\"canvas\")).width=r,_.height=i,(u=_.getContext(\"2d\")).imageSmoothingEnabled=!1,u.mozImageSmoothingEnabled=!1,u.oImageSmoothingEnabled=!1,u.webkitImageSmoothingEnabled=!1,u.drawImage(m,f,y,s,a,0,0,r,i),m=_,p.setAttribute(\"transform\",v),p.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",m.toDataURL()),o.appendChild(p))},n.prototype.createPattern=function(t,e){var r,i=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),s=l(this.__ids);return i.setAttribute(\"id\",s),i.setAttribute(\"width\",t.width),i.setAttribute(\"height\",t.height),\"CANVAS\"===t.nodeName||\"IMG\"===t.nodeName?((r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\")).setAttribute(\"width\",t.width),r.setAttribute(\"height\",t.height),r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",\"CANVAS\"===t.nodeName?t.toDataURL():t.getAttribute(\"src\")),i.appendChild(r),this.__defs.appendChild(i)):t instanceof n&&(i.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(i)),new a(i,this)},n.prototype.setLineDash=function(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null},n.prototype.drawFocusRing=function(){},n.prototype.createImageData=function(){},n.prototype.getImageData=function(){},n.prototype.putImageData=function(){},n.prototype.globalCompositeOperation=function(){},n.prototype.setTransform=function(){},r.default=n},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(184),_=e(120),n=e(129),r=e(130),i=e(185),g=e(88),c=e(187);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(121);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n", - " function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(186),s=t(78),l=t(70),_=e.__importStar(t(19)),o=e.__importStar(t(85)),r=t(9);class d extends a.DataRange{constructor(t){super(t),this._plot_bounds={},this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for DataRange1d ${this.id}`);for(const t of i)l.logger.trace(` - ${t.type} ${t.id}`);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t)null==i[e.id]||!e.visible&&this.only_visible||(n=o.union(n,i[e.id]));return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds[n]=s;const[l,_]=this._compute_min_max(this._plot_bounds,i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[d,h]=[this.start,this.end];if(o!=d||r!=h){const t={};o!=d&&(t.start=o),r!=h&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=d,d.__name__=\"DataRange1d\",d.init_DataRange1d()},\n", - " function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(89),s=n.__importStar(e(19));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", - " function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(188);t.Sizeable=e.Sizeable;var r=a(189);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(190);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(191);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(192);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n", - " function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n", - " function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(188),s=i(85),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n", - " function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(189),r=t(85);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(188),o=t(189),n=t(8),r=t(85),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(189),i=e(188),o=e(66);class r extends s.ContentLayoutable{constructor(e){super(),this.content_size=o.unsized(e,()=>new i.Sizeable(o.size(e)))}_content_size(){return this.content_size}}n.ContentBox=r,r.__name__=\"ContentBox\";class a extends s.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return o.sized(this.el,t,()=>{const e=new i.Sizeable(o.content_size(this.el)),{border:t,padding:n}=o.extents(this.el);return e.grow_by(t).grow_by(n).map(Math.ceil)})}}n.VariadicBox=a,a.__name__=\"VariadicBox\"},\n", - " function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(194);u.Expression=a.Expression;var n=e(195);u.Stack=n.Stack;var o=e(196);u.CumSum=o.CumSum},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(69);class n extends s.Model{constructor(e){super(e),this._connected={},this._result={}}initialize(){super.initialize(),this._connected={},this._result={}}v_compute(e){null==this._connected[e.id]&&(this.connect(e.change,()=>delete this._result[e.id]),this.connect(e.patching,()=>delete this._result[e.id]),this.connect(e.streaming,()=>delete this._result[e.id]),this._connected[e.id]=!0);let t=this._result[e.id];return null==t&&(this._result[e.id]=t=this._v_compute(e)),t}}i.Expression=n,n.__name__=\"Expression\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(194),r=i.__importStar(t(19));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t0?a.every(o,s.isBoolean)?(o.length!==e.get_length()&&r.logger.warn(`BooleanFilter ${this.id}: length of booleans doesn't match data source`),a.range(0,o.length).filter(e=>!0===o[e])):(r.logger.warn(`BooleanFilter ${this.id}: booleans should be array of booleans, defaulting to no filtering`),null):(null!=o&&0==o.length?r.logger.warn(`BooleanFilter ${this.id}: booleans is empty, defaulting to no filtering`):r.logger.warn(`BooleanFilter ${this.id}: booleans was not set, defaulting to no filtering`),null)}}l.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),l=e(69),n=i.__importStar(e(19)),o=e(8),s=e(9),a=e(70);class f extends l.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[n.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(`Filter ${this.id}: filter should either be array of only booleans or only integers, defaulting to no filtering`),null):(a.logger.warn(`Filter ${this.id}: filter was not set to be an array, defaulting to no filtering`),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(199),n=i.__importStar(t(19)),u=t(24),c=t(26);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n", - " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(199),o=e.__importStar(t(19)),u=t(70),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(199),s=t.__importStar(e(19)),l=e(70),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(`IndexFilter ${this.id}: indices should be array of integers, defaulting to no filtering`),null):(l.logger.warn(`IndexFilter ${this.id}: indices was not set, defaulting to no filtering`),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n", - " function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(112);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(152);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(156);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(204);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(169);a.LogTickFormatter=m.LogTickFormatter;var F=r(172);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(205);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(206);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(113);a.TickFormatter=v.TickFormatter},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(113),i=r.__importStar(t(19)),c=t(24),a=t(26);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", - " function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(159)),a=r(113),i=e.__importStar(r(19));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", - " function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(113),o=t(158),a=e.__importStar(t(19));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(208);r.AnnularWedge=v.AnnularWedge;var l=a(209);r.Annulus=l.Annulus;var t=a(210);r.Arc=t.Arc;var i=a(211);r.Bezier=i.Bezier;var n=a(212);r.Circle=n.Circle;var u=a(213);r.CenterRotatable=u.CenterRotatable;var c=a(214);r.Ellipse=c.Ellipse;var g=a(215);r.EllipseOval=g.EllipseOval;var A=a(86);r.Glyph=A.Glyph;var p=a(92);r.HArea=p.HArea;var s=a(216);r.HBar=s.HBar;var d=a(218);r.HexTile=d.HexTile;var R=a(219);r.Image=R.Image;var o=a(221);r.ImageRGBA=o.ImageRGBA;var y=a(222);r.ImageURL=y.ImageURL;var h=a(80);r.Line=h.Line;var m=a(224);r.MultiLine=m.MultiLine;var B=a(225);r.MultiPolygons=B.MultiPolygons;var P=a(226);r.Oval=P.Oval;var G=a(91);r.Patch=G.Patch;var H=a(227);r.Patches=H.Patches;var I=a(228);r.Quad=I.Quad;var L=a(229);r.Quadratic=L.Quadratic;var M=a(230);r.Ray=M.Ray;var O=a(231);r.Rect=O.Rect;var x=a(232);r.Segment=x.Segment;var C=a(233);r.Step=C.Step;var E=a(234);r.Text=E.Text;var Q=a(94);r.VArea=Q.VArea;var S=a(235);r.VBar=S.VBar;var T=a(236);r.Wedge=T.Wedge;var V=a(81);r.XYGlyph=V.XYGlyph},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=e(90),a=i.__importStar(e(87)),_=i.__importStar(e(19)),o=e(10);class h extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e=s&&l.push([e,h])}const d=this.model.properties.direction.value(),c=[];for(const[e,i]of l){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],d)&&c.push([e,i])}return a.create_hit_test_result_from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=h,h.__name__=\"AnnularWedgeView\";class u extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=h,this.mixins([\"line\",\"fill\"]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=u,u.__name__=\"AnnularWedge\",u.init_AnnularWedge()},\n", - " function _(s,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=s(1),r=s(81),a=e.__importStar(s(87)),n=e.__importStar(s(19)),_=s(101);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:t,sy:e,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(t[n]+e[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(t[n],e[n],r[n],0,Math.PI,i),s.arc(t[n],e[n],a[n],Math.PI,0,!i);else s.arc(t[n],e[n],r[n],0,2*Math.PI,!0),s.arc(t[n],e[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(t[n],e[n],r[n],0,2*Math.PI),s.moveTo(t[n]+a[n],e[n]),s.arc(t[n],e[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:t}=s,e=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(t);let n,_,u,o;if(\"data\"==this.model.properties.outer_radius.units)n=e-this.max_outer_radius,u=e+this.max_outer_radius,_=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,e=i+this.max_outer_radius;[n,u]=this.renderer.xscale.r_invert(s,e);const r=t-this.max_outer_radius,a=t+this.max_outer_radius;[_,o]=this.renderer.yscale.r_invert(r,a)}const h=[];for(const s of this.index.indices({x0:n,x1:u,y0:_,y1:o})){const i=this.souter_radius[s]**2,t=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(e,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=t&&h.push([s,o])}return a.create_hit_test_result_from_hits(h)}draw_legend_for_index(s,{x0:i,y0:t,x1:e,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+e)/2;const u=new Array(n);u[a]=(t+r)/2;const o=.5*Math.min(Math.abs(e-i),Math.abs(r-t)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}t.AnnulusView=u,u.__name__=\"AnnulusView\";class o extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=u,this.mixins([\"line\",\"fill\"]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}t.Annulus=o,o.__name__=\"Annulus\",o.init_Annulus()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(81),n=e(90),a=t.__importStar(e(19));class _ extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=_,_.__name__=\"ArcView\";class c extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=_,this.mixins([\"line\"]),this.define({direction:[a.Direction,\"anticlock\"],radius:[a.DistanceSpec],start_angle:[a.AngleSpec],end_angle:[a.AngleSpec]})}}s.Arc=c,c.__name__=\"Arc\",c.init_Arc()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(82),n=t(86),c=t(90);function o(t,e,i,s,n,c,o,h){const r=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*h,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=d.map(s,(s,e)=>Math.min(s,i[e]));break}}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=d.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let n,h,d,_;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)n=t-this.max_radius,h=t+this.max_radius,d=r-this.max_radius,_=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[n,h]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,a=e+this.max_size;[d,_]=this.renderer.yscale.r_invert(r,a)}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of l){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of l){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return a.create_hit_test_result_from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds(),r=a.create_empty_hit_test_result();let n,h,d,_;if(\"h\"==s.direction){let s,e;if(d=t.y0,_=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[n,h]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[n,h]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(n=t.x0,h=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[d,_]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[d,_]=this.renderer.yscale.r_invert(s,i)}}const l=this.index.indices({x0:n,x1:h,y0:d,y1:_});return r.indices=l,r}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[n,h]=this.renderer.xscale.r_invert(i,e),[d,_]=this.renderer.yscale.r_invert(t,r),l=a.create_empty_hit_test_result();return l.indices=this.index.indices({x0:n,x1:h,y0:d,y1:_}),l}_hit_poly(s){const{sx:i,sy:e}=s,t=h.range(0,this.sx.length),r=[];for(let s=0,n=t.length;s1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:e,y1:i}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:e-this.max_h2,y1:i+this.max_h2}}}e.EllipseOvalView=a,a.__name__=\"EllipseOvalView\";class _ extends h.CenterRotatable{constructor(t){super(t)}}e.EllipseOval=_,_.__name__=\"EllipseOval\"},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(217),r=i.__importStar(t(19));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s{t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(s[h],r[h],i[h]-s[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,s=this.stop.length;for(let i=0;ithis._update_image()),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_update_image(){null!=this.image_data&&(this._set_data(),this.renderer.plot_view.request_render())}_set_data(){this._set_width_heigh_data();const e=this.model.color_mapper.rgba_mapper;for(let t=0,a=this._image.length;t0){a=this._image[t];const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t];a=h.concat(e),this._height[t]=e.length,this._width[t]=e[0].length}const i=e.v_compute(a);this._set_image_data_from_buffer(t,i)}}_render(e,t,{image_data:a,sx:i,sy:s,sw:_,sh:n}){const h=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const h of t){if(null==a[h])continue;if(isNaN(i[h]+s[h]+_[h]+n[h]))continue;const t=s[h];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(a[h],0|i[h],0|s[h],_[h],n[h]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(h)}}a.ImageView=o,o.__name__=\"ImageView\";class l extends s.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=o,this.define({color_mapper:[n.Instance,()=>new _.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=l,l.__name__=\"Image\",l.init_Image()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),h=e(81),a=s.__importStar(e(19)),_=s.__importStar(e(87)),r=e(82);class n extends h.XYGlyphView{_render(e,t,i){}_index_data(){const e=[];for(let t=0,i=this._x.length;tthis.renderer.request_render())}_set_data(e){this._set_width_heigh_data();for(let t=0,a=this._image.length;t0){a=this._image[t].buffer;const e=this._image_shape[t];this._height[t]=e[0],this._width[t]=e[1]}else{const e=this._image[t],i=s.concat(e);a=new ArrayBuffer(4*i.length);const n=new Uint32Array(a);for(let e=0,t=i.length;ethis.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;eNaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n", - " function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(70);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=i.__importStar(t(87)),l=t(24),o=t(9),_=t(8),h=t(86),c=t(90);class a extends h.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;eparseInt(t,10)),e.multiline_indices=n,e}_hit_span(t){const{sx:e,sy:s}=t,i=r.create_empty_hit_test_result();let n,o;\"v\"===t.direction?(n=this.renderer.yscale.invert(s),o=this._ys):(n=this.renderer.xscale.invert(e),o=this._xs);const _={};for(let t=0,e=o.length;t0&&(_[t]=e)}return i.indices=l.keys(_).map(t=>parseInt(t,10)),i.multiline_indices=_,i}get_interpolation_hit(t,e,s){const[i,n,r,l]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,r,l)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=a,a.__name__=\"MultiLineView\";class x extends h.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=a,this.coords([[\"xs\",\"ys\"]]),this.mixins([\"line\"])}}s.MultiLine=x,x.__name__=\"MultiLine\",x.init_MultiLine()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(82),r=t(86),l=t(90),o=t(9),h=t(12),_=i.__importStar(t(87)),a=t(8),c=t(11);class d extends r.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e1)for(let i=1,n=this._xs[e][s].length;it-e).filter((t,e,s)=>0===e||t!==s[e-1])}_inner_loop(t,e,s){t.beginPath();for(let i=0,n=e.length;i{this._inner_loop(t,e,r),t.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,n),this._inner_loop(t,e,r),t.stroke())}}_hit_rect(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,r=[e,s,s,e],l=[i,i,n,n],[o,h]=this.renderer.xscale.r_invert(e,s),[a,c]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:o,x1:h,y0:a,y1:c}),x=[];for(let t=0,e=d.length;t1){let l=!1;for(let i=1;i0;){const s=_.find_last_index(i,s=>h.isStrictNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!h.isStrictNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;is-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;nthis._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[_,l]=this.renderer.xscale.r_invert(t,e),[h,a]=this.renderer.yscale.r_invert(i,n),d=this.index.indices({x0:_,x1:l,y0:h,y1:a}),u=[];for(let s=0,t=d.length;s=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&m.push(t)}const f=r.create_empty_hit_test_result();return f.indices=m,f}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=l,l.__name__=\"StepView\";class a extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=l,this.mixins([\"line\"]),this.define({mode:[r.StepMode,\"before\"]})}}i.Step=a,a.__name__=\"Step\",a.init_Step()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),_=t(81),n=i.__importStar(t(87)),o=i.__importStar(t(19)),h=t(131);class r extends _.XYGlyphView{_rotate_point(t,s,e,i,_){return[(t-e)*Math.cos(_)-(s-i)*Math.sin(_)+e,(t-e)*Math.sin(_)+(s-i)*Math.cos(_)+i]}_text_bounds(t,s,e,i){return[[t,t+e,t+e,t,t],[s,s,s-i,s-i,s]]}_render(t,s,{sx:e,sy:i,_x_offset:_,_y_offset:n,_angle:o,_text:r}){this._sys=[],this._sxs=[];for(const l of s)if(!isNaN(e[l]+i[l]+_[l]+n[l]+o[l])&&null!=r[l]&&(this._sxs[l]=[],this._sys[l]=[],this.visuals.text.doit)){const s=`${r[l]}`;t.save(),t.translate(e[l]+_[l],i[l]+n[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:x}=h.measure_font(a),c=this.visuals.text.text_line_height.value()*x;if(-1==s.indexOf(\"\\n\")){t.fillText(s,0,0);const o=e[l]+_[l],h=i[l]+n[l],r=t.measureText(s).width,[a,x]=this._text_bounds(o,h,r,c);this._sxs[l].push(a),this._sys[l].push(x)}else{const o=s.split(\"\\n\"),h=c*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+c/2;break;case\"bottom\":a=-h+c;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const s of o){t.fillText(s,0,a);const o=e[l]+_[l],h=a+i[l]+n[l],r=t.measureText(s).width,[x,u]=this._text_bounds(o,h,r,c);this._sxs[l].push(x),this._sys[l].push(u),a+=c}}t.restore()}}_hit_point(t){const{sx:s,sy:e}=t,i=[];for(let t=0;tthis.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;it[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],l=this.model.get_ticker();if(null==l)return a;const d=l.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(d[0]!=h&&d.splice(0,0,h),d[d.length-1]!=m&&d.push(m));for(let e=0;ethis.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=i(1),o=i(69),l=i(66),n=i(70),h=i(8),a=s.__importStar(i(19)),_=i(96),r=i(64),d=i(67);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views={}}async lazy_initialize(){await this.build_child_views()}remove(){for(const i of this.child_views)i.remove();this._child_views={},super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const i=this.el.offsetParent;this._offset_parent!=i&&(this._offset_parent=i,null!=i&&(this.compute_viewport(),this.invalidate_layout()))},250));const i=this.model.properties;this.on_change([i.width,i.height,i.min_width,i.min_height,i.max_width,i.max_height,i.margin,i.width_policy,i.height_policy,i.sizing_mode,i.aspect_ratio,i.visible],()=>this.invalidate_layout()),this.on_change([i.background,i.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(i=>this._child_views[i.id])}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:i}=this.model;this.el.style.backgroundColor=null!=i?i:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const i of this.child_views)this.el.appendChild(i.el),i.render()}update_layout(){for(const i of this.child_views)i.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const i=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,i);for(const i of this.child_views)i.update_position()}after_layout(){for(const i of this.child_views)i.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(i){i.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const i=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-i} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const i of this.child_views)if(!i.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:i,height_policy:t,aspect_ratio:e}=this.model;\"auto\"==i&&(i=this._width_policy()),\"auto\"==t&&(t=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)i=t=\"fixed\";else if(\"stretch_both\"==s)i=t=\"max\";else if(\"stretch_width\"==s)i=\"max\";else if(\"stretch_height\"==s)t=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":i=\"max\",t=\"min\";break;case\"scale_height\":i=\"min\",t=\"max\";break;case\"scale_both\":i=\"max\",t=\"max\"}const o={width_policy:i,height_policy:t},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[i,t]=u;o.margin={top:i,right:t,bottom:i,left:t}}else{const[i,t,e,s]=u;o.margin={top:i,right:t,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let i=this.el;for(;i=i.parentElement;){if(i.classList.contains(d.bk_root))continue;if(i==document.body){const{margin:{left:i,right:t,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-i-t),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:t,right:e,top:s,bottom:o}}=l.extents(i),{width:n,height:h}=i.getBoundingClientRect(),a=Math.ceil(n-t-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(i=>i.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(i){super(i)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),n=t(191),l=s.__importStar(t(19));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(244),n=t(191),l=o.__importStar(t(19));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views[t.id];this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(244),_=e(187);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(243),_=t(191),a=s.__importStar(t(19));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(244),s=e(187);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(187),l=e(66),h=e(9),o=i.__importStar(e(19)),c=e(244),d=e(69),n=e(145),r=e(251),_=e(252),b=e(253);class p extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},n=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...n]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=`${e-s.width}px`,l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=`${e-s.height}px`,l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[r.bk_tab,s==e?n.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:r.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[r.bk_headers]},i),this.wrapper_el=l.div({class:r.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,n.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,n.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=`${e}px`}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=`${e}px`}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[r.bk_tabs_header,n.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(n.bk_active);t[e].classList.add(n.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=p,p.__name__=\"TabsView\";class u extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=p,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=u,u.__name__=\"Tabs\",u.init_Tabs();class m extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=m,m.__name__=\"Panel\",m.init_Panel()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const b=e(1);e(67),b.__importStar(e(66)).styles.append('.bk-root .bk-tabs-header {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n overflow: hidden;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n height: auto;\\n margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8,\\\\\\n \\\\\\n \\\\\\n \\\\\\n \\');\\n}\\n'),n.bk_tabs_header=\"bk-tabs-header\",n.bk_headers_wrapper=\"bk-headers-wrapper\",n.bk_headers=\"bk-headers\",n.bk_tab=\"bk-tab\",n.bk_close=\"bk-close\"},\n", - " function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});const r=n(1);n(67),r.__importStar(n(66)).styles.append(\".bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"),b.bk_btn=\"bk-btn\",b.bk_btn_group=\"bk-btn-group\",b.bk_btn_default=\"bk-btn-default\",b.bk_btn_primary=\"bk-btn-primary\",b.bk_btn_success=\"bk-btn-success\",b.bk_btn_warning=\"bk-btn-warning\",b.bk_btn_danger=\"bk-btn-danger\",b.bk_btn_type=function(n){switch(n){case\"default\":return b.bk_btn_default;case\"primary\":return b.bk_btn_primary;case\"success\":return b.bk_btn_success;case\"warning\":return b.bk_btn_warning;case\"danger\":return b.bk_btn_danger}},b.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", - " function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});const b=n(1);n(67),b.__importStar(n(66)).styles.append(\".bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"),r.bk_menu=\"bk-menu\",r.bk_caret=\"bk-caret\",r.bk_divider=\"bk-divider\"},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(245);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n", - " function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(256);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(258);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(259);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(115);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(116);o.ColorMapper=M.ColorMapper;var t=r(114);o.LinearColorMapper=t.LinearColorMapper;var i=r(260);o.LogColorMapper=i.LogColorMapper},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(257),c=r(116),i=o.__importStar(r(19));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;tu(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n", - " function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(257),i=r(117),c=t.__importStar(r(19));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(257),s=t(117),i=r.__importStar(t(19));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n", - " function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(115),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;tu){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(eg&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(262),t);var a=e(263);t.Marker=a.Marker;var _=e(264);t.Scatter=_.Scatter},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(263),s=Math.sqrt(3);function r(e,t){e.moveTo(-t,t),e.lineTo(t,-t),e.moveTo(-t,-t),e.lineTo(t,t)}function n(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function c(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function l(e,t){const o=t*s,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function a(e,t,o,i,s){const c=.65*o;n(e,o),r(e,c),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function _(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function v(e,t,o,i,s){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function f(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function u(e,t,o,i,s){c(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function T(e,t,o,i,r){!function(e,t){const o=t/2,i=s*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function z(e,t,o,i,s){e.rotate(Math.PI),l(e,o),e.rotate(-Math.PI),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function m(e,t,o,i,s){const r=2*o;e.rect(-o,-o,r,r),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function C(e,t,o,i,s){const n=2*o;e.rect(-o,-o,n,n),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),r(e,o),e.stroke())}function h(e,t,o,i,s){l(e,o),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,s){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,s){r(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function P(e,t){var o;const s=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};s.initClass();const r=((o=class extends i.Marker{static initClass(){this.prototype.default_view=s}}).__name__=e,o);return r.initClass(),r}o.Asterisk=P(\"Asterisk\",a),o.CircleCross=P(\"CircleCross\",d),o.CircleX=P(\"CircleX\",_),o.Cross=P(\"Cross\",v),o.Dash=P(\"Dash\",q),o.Diamond=P(\"Diamond\",f),o.DiamondCross=P(\"DiamondCross\",u),o.Hex=P(\"Hex\",T),o.InvertedTriangle=P(\"InvertedTriangle\",z),o.Square=P(\"Square\",k),o.SquareCross=P(\"SquareCross\",m),o.SquareX=P(\"SquareX\",C),o.Triangle=P(\"Triangle\",h),o.X=P(\"X\",M),o.marker_funcs={asterisk:a,circle:function(e,t,o,i,s){e.arc(0,0,o,0,2*Math.PI,!1),s.doit&&(s.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())},circle_cross:d,circle_x:_,cross:v,diamond:f,diamond_cross:u,hex:T,inverted_triangle:z,square:k,square_cross:m,square_x:C,triangle:h,dash:q,x:M}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(81),n=i.__importStar(e(87)),a=i.__importStar(e(19)),_=e(9);class h extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[a,_]=this.renderer.xscale.r_invert(i,r),h=t-this.max_size,c=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(h,c),l=this.index.indices({x0:a,x1:_,y0:o,y1:x}),y=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&y.push([e,r])}return n.create_hit_test_result_from_hits(y)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2,a=n.create_empty_hit_test_result();let _,h,c,o;if(\"h\"==e.direction){c=i.y0,o=i.y1;const e=s-r,t=s+r;[_,h]=this.renderer.xscale.r_invert(e,t)}else{_=i.x0,h=i.x1;const e=t-r,s=t+r;[c,o]=this.renderer.yscale.r_invert(e,s)}const x=this.index.indices({x0:_,x1:h,y0:c,y1:o});return a.indices=x,a}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[a,_]=this.renderer.xscale.r_invert(s,t),[h,c]=this.renderer.yscale.r_invert(i,r),o=n.create_empty_hit_test_result();return o.indices=this.index.indices({x0:a,x1:_,y0:h,y1:c}),o}_hit_poly(e){const{sx:s,sy:t}=e,i=_.range(0,this.sx.length),r=[];for(let e=0,a=i.length;enew r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(1).__importStar(e(19)),o=e(14),i=e(9),a=e(24),l=e(8),s=e(244),_=e(141),h=e(119),c=e(268),u=e(73),d=e(78),b=e(185),g=e(280);r.PlotView=g.PlotView;class m extends s.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=g.PlotView,this.mixins([\"line:outline_\",\"fill:background_\",\"fill:border_\"]),this.define({toolbar:[n.Instance,()=>new c.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new _.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new b.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new b.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new h.LinearScale],y_scale:[n.Instance,()=>new h.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.getv(\"width\");return null!=e?e:this.plot_width}get height(){const e=this.getv(\"height\");return null!=e?e:this.plot_height}_doc_attached(){super._doc_attached(),this._tell_document_about_change(\"inner_height\",null,this.inner_height,{}),this._tell_document_about_change(\"inner_width\",null,this.inner_width,{})}initialize(){super.initialize(),this.reset=new o.Signal0(this,\"reset\");for(const e of a.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of a.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;l.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){this.setv({[t]:[...this.getv(t),e]})}remove_layout(e){const t=t=>{i.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new u.ColumnDataSource,r={}){const n=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new d.GlyphRenderer(n);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return this.side_panels.concat(this.center)}get side_panels(){const{above:e,below:t,left:r,right:n}=this;return i.concat([e,t,r,n])}}r.Plot=m,m.__name__=\"Plot\",m.init_Plot()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),c=t(8),o=t(9),n=t(269),a=t(274),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals(),this.connect(this.properties.tools.change,()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,this._active_change.bind(this,t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(270),i=e(273),_=n.__importStar(e(19));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=t(64),n=t(271),l=t(66),c=i.__importStar(t(19)),a=t(26),r=t(8),_=t(272);class u extends s.DOMView{initialize(){super.initialize(),this.connect(this.model.change,()=>this.render()),this.el.addEventListener(\"click\",()=>this._clicked()),this.render()}css_classes(){return super.css_classes().concat(_.bk_toolbar_button)}render(){l.empty(this.el);const t=this.model.computed_icon;r.isString(t)&&(a.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip}}o.ButtonToolButtonView=u,u.__name__=\"ButtonToolButtonView\";class d extends n.ToolView{}o.ButtonToolView=d,d.__name__=\"ButtonToolView\";class h extends n.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[c.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}}o.ButtonTool=h,h.__name__=\"ButtonTool\",h.init_ButtonTool()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1).__importStar(t(19)),o=t(65),s=t(9),a=t(69);class r extends o.View{get plot_view(){return this.parent}get plot_model(){return this.parent.model}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return`${t} (x-axis)`;case\"height\":return`${t} (y-axis)`;case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", - " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=o(1);o(67),n.__importStar(o(66)).styles.append('.bk-root .bk-toolbar-hidden {\\n visibility: hidden;\\n opacity: 0;\\n transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n flex-shrink: 0;\\n -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n justify-content: flex-end;\\n -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n order: 1;\\n -webkit-order: 1;\\n margin-left: 5px;\\n margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n justify-content: flex-start;\\n -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n order: 0;\\n -webkit-order: 0;\\n margin-bottom: 5px;\\n margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n width: 30px;\\n height: 30px;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n background-color: #f9f9f9;\\n}\\n.bk-root .bk-toolbar-button:focus {\\n outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n content: \" \";\\n display: inline-block;\\n background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n height: 10px;\\n width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n height: 1px;\\n width: 10px;\\n}\\n'),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(270),n=e(145);class o extends s.ButtonToolButtonView{render(){super.render(),this.model.active?this.el.classList.add(n.bk_active):this.el.classList.remove(n.bk_active)}_clicked(){const e=this.model.active;this.model.active=!e}}i.OnOffButtonView=o,o.__name__=\"OnOffButtonView\"},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(70),l=t(66),n=t(96),a=i.__importStar(t(19)),r=t(64),_=t(9),c=t(15),h=t(8),u=t(69),d=t(275),v=t(276),b=t(277),p=t(269),g=t(272),m=t(279),f=t(145);class w extends u.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=w,w.__name__=\"ToolbarViewModel\",w.init_ToolbarViewModel();class y extends r.DOMView{initialize(){super.initialize(),this._tool_button_views={},this._toolbar_view_model=new w({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=g.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(g.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?m.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[m.bk_logo,m.bk_logo_small,t]});this.el.appendChild(o)}const t=[],o=t=>this._tool_button_views[t.id].el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:g.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function T(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=y,y.__name__=\"ToolbarBaseView\";class k extends u.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=y,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,T],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new c.Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof p.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof b.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o.type} (${o.id})`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof d.GestureTool&&t.event_type)if(h.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=h.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e.type} (${e.id}) for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t.type} (${t.id}) for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=k,k.__name__=\"ToolbarBase\",k.init_ToolbarBase()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(270),n=e(273);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n", - " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(270),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(276),s=i.__importStar(o(19)),n=o(278);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n", - " function _(A,g,o){Object.defineProperty(o,\"__esModule\",{value:!0});const C=A(1);A(67),C.__importStar(A(66)).styles.append('.bk-root .bk-tool-icon-box-select {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg82t254aQAAAkBJREFUWMPN11+E1FEUB/DPTFn2qaeIpcSwr5NlUyJiKWVXWUqvlUh/iE3RY9mUekkPPURtLKNRrFJEeuphGfUUaVliiX1aVjGs6aG7+XX9ZnZ+d2fTl2vmnHvPPfeee/79Sk+may2/UQq/q7Qu+bAJoxjHIKqB/wlfUMcMVqI9bLZ+DGIKwzlzQ2GcxCx2xwvKOUKlaHTiX8bHNspjDONHkOmJBW5jIof/FvPh/06MZOb6cRc7cGn1AKUE5cdzlM/gAr5F/O24H3xkFRfxAbVygvK+cIsspjGWo1zgjeFpxL+BvnLw7laBA4xjIFJwrgu52DoVjKdY4HBEX8dSF3JLYe1fe6UcYCii3xWQjdfuSTnAtoheKCC7GNED5Zx4L4qt61jbTLHA94geKSC7P7ZeShQ0Inoi1IJuEOeORooFXkV0FZNdZs5qvFfKAeqYy7nZ6yg//HG0MBfffh71lFrQDCW2EvEP4mt4okZUDftz9rmGZkotmMxJRtlisy+MTniAWrty3AlXw0hFM2TD89l+oNsoOJXjbIs4EpqNtTCLXbiZ0g+M4mFObj8U3vsNjoZCVcmk60ZwthpepLZkB/AsivWfOJZxtpUQHfWib7KWDwzjeegBZJSdKFiE2qJTFFTwElsi/unQ/awXrU4WGMD7nOJxBY/1EO2iYConq93CHT1GOwucjdqnRyFz+VcHmMNefMY9nNkA3SWUOoXhQviSWQ4huLIRFlirFixnQq/XaKXUgg2xQNGv4V7x/RcW+AXPB3h7H1PaiQAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-help {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-hover {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-crosshair {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-lasso-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-pan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4lKssI9gAAAOtJREFUWMPVll0KwyAMgNPgoc0JzDX2Mtgp3csKErSamGabIEUo/T6bHz0ezxdsjPJ5kvUDaROem7VJAp3gufkbtwtI+JYEOsHNEugIN0mgM1wtsVoF1MnyKtZHZBW4DVxoMh6jaAW0MTfnBAbALyUwCD6UwEB4VyJN4FXx4aqUAACgFLjzrsRP9AECAP4Cm88QtJeJrGivdeNdPpko+j1H7XzUB+6WYHmo4eDk4wj41XFMEfBZGXpK0F/eB+QhVcXslVo7i6eANjF5NYSojCN7wi05MJNgbfKiMaPZA75TBVKCrWWbnGrb3DPePZ9Bcbe/QecAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-xpan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4X4hxZdgAAAMpJREFUWMPtlsEKwjAMhr/pwOOedINJe/PobWXCfAIvgo/nA4heOiilZQqN2yE5lpD/I38SWt3uD9aMHSuHAiiAAmwaYCqoM/0KMABtQYDW11wEaHyiEei28bWb8LGOkk5C4iEEgE11YBQWDyHGuAMD0CeS30IQPfACbC3o+Vd2bOIOWMCtoO1mC+ap3CfmoCokFs/SZd6E0ILjnzrhvFbyEJ2FIZzXyB6iZ3AkjITn8WOdSbbAoaD4NSW+tIZdQYBOPyQKoAAKkIsPv0se4A/1UC0AAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-ypan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4anK0lywAAAMVJREFUWMPtlzEKwzAMRX/S7rlpIMXeOnaLaME36FLo8XqCdNFghGljyc4kgQi2Q/SUj0F/eL7eMMTKz6j9wNlYPGRrFcSoLH4XxQPvdQeYuPOlcLbw2dRTgqvoXEaolWM0aP4LYm0NkHYWzyFSSwlmzjw2sR6OvAXNwgEcwAEcwAEcwAEcoGYk20SiMCHlmVoCzACoojEqjHBmCeJOCOo1lgPA7Q8E8TvdjMmHuzsV3NFD4w+1t+Ai/gTx3qHuOFqdMQB8ASMwJX0IEHOeAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-range {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-polygon-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-redo {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-reset {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4gWqH8eQAABLdJREFUWMPtlktsVGUUx3/nfvfOlLQaY2IiRRMQIRpI0PjamJhoVASDvNpCpYw1vJQYSVwZwIVQF6wwRHmkAUof9ElrI6VqDAXcID4TF0IiYQMkSlTokNCZ+b7jove2t+NMH7rQBWd3v+989/zP+Z8X3Jb/WGQySvUNTQBJESkNguAVYIWqzhaRhwBU9WcR+QXoymazn6jqzUQiMQSQzWZRVdal1vwzAI2tHQBPOuc2AbWTdOyQ53n7nHNfRwee51GzqoIQMCLDpr3x/tLQ0oZzrk5Vj0/BOEBt+KYuOlBVGlrahr0Wob27t3gEjnZ2AyQzmUwHsDgP6J/AYRE553neDwDOuUdU9QngNeCumK4TkRMhZUORcYC1qysLA6iuSQHIwkWLD6lqapQsuSmwTVV3h99I7EcAR462A2xR2Ilq6ehTaejvO1774kuLNALR33eclsaGsQDe3fYegHl43vyNwEeqGl1963mm2jl7YZRTQ82qlWP4HM6ZToC5ztkW4LHQoALru7s6Di5dvlIj/e6ujrEAWoZDn8hmMjXATMACGaAVuBjXTVVXFc/AxhaA+4zvn1DV+eHxVWPMAmvtb5GeMWZyZVhI2rt7qVy2pOh9U1snwIPW2vMi4oWJuBPYHkVAVScPoKmtkzVVK6cEMsyJraHhiCqJqJUwj/JRz7TW1iSSyR2rVyylqa0Ta+24Ic8vXaAEmDFc/l5Z2A/80OibuVyuz/f9ElUdHCmvw82t5HK5h6y1PYhsz2YyGw43t2KtBZHIGwB6+j4rCkBVUdV7gXrggnPuu8h4eP+xMeZS2D0rJYZ6AdAMzAt1b4nI26p6IFZOY8pugijcKSIHVLUK0LyST4vnrVfnWr3mjmP4QTATaERkXkypRFX3isjmuHdRJEK6Ckqquopp06bdKCkp2Sgi7XnGLcg7gzeutwNIiPYc8HixqIrIOlU9ONVIhHPEd851icgSVXUiskVV94gIqoonIt0i8gfQCfwae38e6BWRXuBZz5jZ8VbaOE4EIqlZVUEQBLlkMplS1QER2RwkEnsSyaREDUzyeNsvIhvCMqkH1kdIJ2o+k8iJB1LVVRfjZ6nqqlEAIbdVQGto8Lrv+/dbawcjAL7vc+6bs+zetetfLSHxniIFGofGGsU2oC7eOCbDfZ7nQawBOSAX74SF9oEPImOq+r7nmVmxb5raukZa8UReGmNmhbMkAwwBH467EYVZe49z7kdgenj8k7V2oTHm8kgdWcvrNdVFjR8cHkYzjDH9wLjDaEwEzpwa4MypgWvAjtjxfGNMj4jMiT+M+kFsZI/Q6Pv+HGNMT8w4wI7TAyevxXVPD5z8+zD64tRXAMHVK1eaVLUyVvuDqroV2BOnJF4ZIedviUidqt4Re9s+vbx8zZXLl7PR2+nl5Tz/zNOFp2FzxzGAklw22wUsLLaSKXwf8vhosZUM6PeDYEUum70VHfpBwKsVyyfeikOP6oBNwN1TrLbfgX3A1kKLzKeff8nLLzw38T5wZDgxn1LnNk5lLRfP26/OnR2hwfNYW2Atn9RCsrf+EECyrKysDFimqhXhyjY3VLkAXBKRDqA7nU6nS0tLhyIj6XSaN9bVclv+l/IXAmkwvZc+jNUAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-save {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4UexUIzAAAAIRJREFUWMNjXLhs5X+GAQRMDAMMWJDYjGhyf7CoIQf8x2H+f0KGM9M7BBio5FNcITo408CoA0YdQM1cwEhtB/ylgqMkCJmFLwrOQguj/xTg50hmkeyARAYGhlNUCIXjDAwM0eREwTUGBgbz0Ww46oBRB4w6YNQBow4YdcCIahP+H5EhAAAH2R8hH3Rg0QAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-tap-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-undo {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-wheel-pan {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-wheel-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-edit {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4QfHjM1QAAAGRJREFUWMNjXLhsJcNAAiaGAQYsDAwM/+lsJ+OgCwGsLqMB+D8o08CoA0YdMOqAUQewDFQdMBoFIyoN/B/U7YFRB7DQIc7xyo9GwbBMA4xDqhxgISH1klXbDYk0QOseEeOgDgEAIS0JQleje6IAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-freehand-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-point-draw {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEiERGWPELgAAA4RJREFUWMO1lr1uG1cQhb9ztdRSP7AF1QxgwKlcuZSqRC9gWUUUINWqTh5AnaFOnVPEteQmRuhCURqWsSqqc9IolREXdEvQBElxtdw7KURSFEVKu4w8wAKLxdw9Z+bMnRmZGXfZ29//II8th4WwGVNyIoQLYB5vxA9Caq04iUd9A+7ZlsNC2I7TdSd2hZXMJKlnTqp9jtl/GBaqoyQ0noFKpUIzBicYYc+DEFpxkglc4oVJa5gvDn8v1xV2irG3FM4NSVwjUKlUaMcpJhCGmSEJQ6QGD8M5WnHCd8+f3QCXpPLx8WNwv0j6Bm9FMK7FJ3WBE+R/2t7c/GBmFvSBrzRTCsyTDjXrxUgEMtpxynJYmJoBJ4VAybwVARgvL7Oik0okCodnKpVKX7P0leiVMb0VvbJT+upznK4vh0GIeQwwQStJkHQD3MwsCALTJRG7Qrdrj5m/djgYaIa0hlkRdJk26XEgC9txurccBtVW3IudBImmZuACUP+ZlIDBt9FKcubYNTcAH/X0RYM1E7utJPlqe+uZzPxUcEkiSS4sTT95n15Mud0xWC0o2PAWOCdK3KYZlFxfM+tHOcnMzNr1es18ug+cgsVjP4yBU/Ppfrter1m/+l0+zYygML1xRVHU7TSb1cSzBzoBzszsH+AMdJJ49jrNZjWKou6wBnwOzcyndBpNbuueURR1Dw8Pq35p9cc5p/Dy9Dypt7jXrtdGwQECS9NPhr6Gq6txUzNigE6zydLK6lTw12/KT4FGFEUfJX2YJNONq5tVs4ODA7sD/DnwJ/BoADZuE3tHFs12dna6d4C/BI6AlbyzI8ii2TTw12/KK33gb2cdXsNZoAntbZC2SeO4c9592k/5eNQbiwvFd1kJuFGwLJr1wSPg/SwpvyFBHufOeXcFeAlE97U/uCxOY+P3b+Bn4B3Q+L8EdJfD4a+/AbC4UBzPxiPg3wlHZquB28Cn2IuR9x3gr3uV4DbwfvSDOvi4uFA8BDZmIRHkjHpS9Ht9iRqd8+5G3g05mAGcQbsdiX5QJ428G7Kygo8XYdb1/K4NWVmjzkNge2sz84bs+ELmpDDLtqWsNZBXgvmw8CTtpWVMT7x5YWBjLARnwZfKQNYN2U2LPvrh+5nBt7c2M2/It9bArCTKR8eZN+SJ13AScPnoODeRdqNenH+wul5w2gUr2WUjMFAt8bZ/0axX/wNnv4H8vTFb1QAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-poly-edit {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n'),o.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",o.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",o.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",o.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",o.bk_tool_icon_help=\"bk-tool-icon-help\",o.bk_tool_icon_hover=\"bk-tool-icon-hover\",o.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",o.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",o.bk_tool_icon_pan=\"bk-tool-icon-pan\",o.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",o.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",o.bk_tool_icon_range=\"bk-tool-icon-range\",o.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",o.bk_tool_icon_redo=\"bk-tool-icon-redo\",o.bk_tool_icon_reset=\"bk-tool-icon-reset\",o.bk_tool_icon_save=\"bk-tool-icon-save\",o.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",o.bk_tool_icon_undo=\"bk-tool-icon-undo\",o.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",o.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",o.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",o.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",o.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",o.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",o.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\"},\n", - " function _(o,l,g){Object.defineProperty(g,\"__esModule\",{value:!0});const n=o(1);o(67),n.__importStar(o(66)).styles.append(\".bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"),g.bk_logo=\"bk-logo\",g.bk_logo_notebook=\"bk-logo-notebook\",g.bk_logo_small=\"bk-logo-small\",g.bk_grey=\"bk-grey\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:r,right:l,bottom:h}=e;this.top_panel.set_geometry(new M.BBox({left:o,right:l,bottom:r,height:n.height})),this.bottom_panel.set_geometry(new M.BBox({left:o,right:l,top:h,height:a.height})),this.left_panel.set_geometry(new M.BBox({top:r,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new M.BBox({top:r,bottom:h,left:l,width:s.width}))}}i.PlotLayout=R,R.__name__=\"PlotLayout\";class k extends l.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new M.BBox,this._inner_bbox=new M.BBox,this._needs_paint=!0,this._needs_layout=!1}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(){if(!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:{},dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1},this.canvas=new a.Canvas({use_hidpi:this.model.hidpi,output_backend:this.model.output_backend}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=f.throttle(()=>this.repaint(),1e3/60);const{title_location:t,title:e}=this.model;null!=t&&null!=e&&(this._title=e instanceof h.Title?e:new h.Title({text:e}));const{toolbar_location:i,toolbar:s}=this.model;null!=i&&null!=s&&(this._toolbar=new d.ToolbarPanel({toolbar:s}),s.toolbar_location=i),this.renderer_views={},this.tool_views={}}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),b.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new R,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:r,title:l}=this.model;null!=r&&null!=l&&o(r).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i{const i=this.renderer_views[e.id];return i.layout=new z.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new S.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new S.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new O.VStack,b=new O.VStack,f=new O.HStack,y=new O.HStack;m.children=v.reversed(p(\"above\",i)),b.children=p(\"below\",s),f.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=b,this.layout.left_panel=f,this.layout.right_panel=y}get axis_views(){const t=[];for(const e in this.renderer_views){const i=this.renderer_views[e];i instanceof _.AxisView&&t.push(i)}return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}prepare_webgl(t,e){const{webgl:i}=this.canvas_view;if(null!=i){const{width:s,height:n}=this.canvas_view.bbox,{pixel_ratio:a}=this.canvas_view.model;i.canvas.width=a*s,i.canvas.height=a*n;const{gl:o}=i;o.enable(o.SCISSOR_TEST);const[r,l,h,_]=e,{xview:d,yview:u}=this.canvas_view.bbox,c=d.compute(r),p=u.compute(l+_);o.scissor(t*c,t*p,t*h,t*_),o.enable(o.BLEND),o.blendFuncSeparate(o.SRC_ALPHA,o.ONE_MINUS_SRC_ALPHA,o.ONE_MINUS_DST_ALPHA,o.ONE)}}clear_webgl(){const{webgl:t}=this.canvas_view;if(null!=t){const{gl:e,canvas:i}=t;e.viewport(0,0,i.width,i.height),e.clearColor(0,0,0,0),e.clear(e.COLOR_BUFFER_BIT||e.DEPTH_BUFFER_BIT)}}blit_webgl(){const{ctx:t,webgl:e}=this.canvas_view;if(null!=e&&(b.logger.debug(\"drawing with WebGL\"),t.restore(),t.drawImage(e.canvas,0,0),t.save(),this.model.hidpi)){const e=this.canvas.pixel_ratio;t.scale(e,e),t.translate(.5,.5)}}update_dataranges(){const t={},e={};let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const s in this.renderer_views){const n=this.renderer_views[s];if(n instanceof r.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&(t[s]=a),i){const t=n.glyph.log_bounds();null!=t&&(e[s]=t)}}}let s=!1,n=!1;const{width:a,height:l}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=l&&(h=1/this.model.aspect_scale*(a/l));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model.id,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model.id,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){b.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+r)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-r))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+r)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-r)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views[t.id].layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views[t.id])}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{above:i,below:s,left:n,right:a,center:o,renderers:r}=this.model.properties;this.on_change([i,s,n,a,o,r],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||w.isStrictNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||w.isStrictNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},b.logger.debug(\"initial ranges set\")):b.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const t in this.renderer_views){if(!this.renderer_views[t].has_finished())return!1}return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.prepare_canvas(t,e),this._outer_bbox=this.layout.bbox,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;b.logger.trace(`PlotView.paint() for ${this.model.id}`);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const t in this.renderer_views){const e=this.renderer_views[t];if(null==this.range_update_timestamp||e instanceof r.GlyphRendererView&&e.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}}const{ctx:e}=this.canvas_view,i=this.canvas.pixel_ratio;e.save(),this.model.hidpi&&(e.scale(i,i),e.translate(.5,.5));const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value];if(this._map_hook(e,s),this._paint_empty(e,s),this.prepare_webgl(i,s),this.clear_webgl(),this.visuals.outline_line.doit){e.save(),this.visuals.outline_line.set_value(e);let[t,i,n,a]=s;t+n==this.layout._width.value&&(n-=1),i+a==this.layout._height.value&&(a-=1),e.strokeRect(t,i,n,a),e.restore()}this._paint_levels(e,[\"image\",\"underlay\",\"glyph\"],s,!0),this._paint_levels(e,[\"annotation\"],s,!1),this._paint_levels(e,[\"overlay\"],s,!1),null==this._initial_state_info.range&&this.set_initial_range(),e.restore()}_paint_levels(t,e,i,s){for(const n of e)for(const e of this.computed_renderers){if(e.level!=n)continue;const a=this.renderer_views[e.id];t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.blit_webgl(),this.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,r,l,h]=e;t.clearRect(i,s,n,a),this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,r,l,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,r,l,h))}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=k,k.__name__=\"PlotView\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(283)),r=t(14),a=t(70),h=t(66),_=t(284),o=t(9),c=t(24),l=t(8),p=t(101),u=n.__importStar(t(281));class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this)}destroy(){this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(l.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(`unsupported event_type: ${e}`)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),p.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,c.isEmpty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(c.isEmpty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[p.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new u.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new u.MouseMove(n,i,r,a);case\"mouseenter\":return new u.MouseEnter(n,i,r,a);case\"mouseleave\":return new u.MouseLeave(n,i,r,a);case\"tap\":return new u.Tap(n,i,r,a);case\"doubletap\":return new u.DoubleTap(n,i,r,a);case\"press\":return new u.Press(n,i,r,a);case\"pressup\":return new u.PressUp(n,i,r,a);case\"pan\":return new u.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new u.PanStart(n,i,r,a);case\"panend\":return new u.PanEnd(n,i,r,a);case\"pinch\":return new u.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new u.PinchStart(n,i,r,a);case\"pinchend\":return new u.PinchEnd(n,i,r,a);case\"rotate\":return new u.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new u.RotateStart(n,i,r,a);case\"rotateend\":return new u.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey})}_move_event(t){return Object.assign({type:t.type},this._get_sxy(t))}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t)})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n", - " function _(t,e,n){\n", - " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", - " * http://hammerjs.github.io/\n", - " *\n", - " * Copyright (c) 2016 Jorik Tangelder;\n", - " * Licensed under the MIT license */\n", - " !function(t,n,i,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=n.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,n){return setTimeout(y(t,n),e)}function p(t,e,n){return!!Array.isArray(t)&&(f(t,n[e],n),!0)}function f(t,e,n){var i;if(t)if(t.forEach)t.forEach(e,n);else if(void 0!==t.length)for(i=0;i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,i),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(null==t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),n=1;n-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,n){if(t.indexOf&&!n)return t.indexOf(e);for(var i=0;in[e]})):i.sort()),i}function D(t,e){for(var n,i,r=e[0].toUpperCase()+e.slice(1),s=0;s1&&!n.firstMultiple?n.firstMultiple=W(e):1===r&&(n.firstMultiple=!1);var s=n.firstInput,o=n.firstMultiple,a=o?o.center:s.center,h=e.center=q(i);e.timeStamp=c(),e.deltaTime=e.timeStamp-s.timeStamp,e.angle=U(a,h),e.distance=L(a,h),function(t,e){var n=e.center,i=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},i=t.offsetDelta={x:n.x,y:n.y});e.deltaX=r.x+(n.x-i.x),e.deltaY=r.y+(n.y-i.y)}(n,e),e.offsetDirection=H(e.deltaX,e.deltaY);var l=k(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=l.x,e.overallVelocityY=l.y,e.overallVelocity=u(l.x)>u(l.y)?l.x:l.y,e.scale=o?(p=o.pointers,f=i,L(f[0],f[1],X)/L(p[0],p[1],X)):1,e.rotation=o?function(t,e){return U(e[1],e[0],X)+U(t[1],t[0],X)}(o.pointers,i):0,e.maxPointers=n.prevInput?e.pointers.length>n.prevInput.maxPointers?e.pointers.length:n.prevInput.maxPointers:e.pointers.length,function(t,e){var n,i,r,s,o=t.lastInterval||e,a=e.timeStamp-o.timeStamp;if(8!=e.eventType&&(a>25||void 0===o.velocity)){var h=e.deltaX-o.deltaX,c=e.deltaY-o.deltaY,l=k(a,h,c);i=l.x,r=l.y,n=u(l.x)>u(l.y)?l.x:l.y,s=H(h,c),t.lastInterval=e}else n=o.velocity,i=o.velocityX,r=o.velocityY,s=o.direction;e.velocity=n,e.velocityX=i,e.velocityY=r,e.direction=s}(n,e);var p,f;var v=t.element;_(e.srcEvent.target,v)&&(v=e.srcEvent.target);e.target=v}(t,n),t.emit(\"hammer.input\",n),t.recognize(n),t.session.prevInput=n}function W(t){for(var e=[],n=0;n=u(e)?t<0?2:4:e<0?8:16}function L(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return Math.sqrt(i*i+r*r)}function U(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return 180*Math.atan2(r,i)/Math.PI}Y.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var V={mousedown:1,mousemove:2,mouseup:4};function j(){this.evEl=\"mousedown\",this.evWin=\"mousemove mouseup\",this.pressed=!1,Y.apply(this,arguments)}g(j,Y,{handler:function(t){var e=V[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:\"mouse\",srcEvent:t}))}});var G={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Z={2:\"touch\",3:\"pen\",4:\"mouse\",5:\"kinect\"},B=\"pointerdown\",$=\"pointermove pointerup pointercancel\";function J(){this.evEl=B,this.evWin=$,Y.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(B=\"MSPointerDown\",$=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(J,Y,{handler:function(t){var e=this.store,n=!1,i=t.type.toLowerCase().replace(\"ms\",\"\"),r=G[i],s=Z[t.pointerType]||t.pointerType,o=\"touch\"==s,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(n=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),n&&e.splice(a,1))}});var K={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function Q(){this.evTarget=\"touchstart\",this.evWin=\"touchstart touchmove touchend touchcancel\",this.started=!1,Y.apply(this,arguments)}function tt(t,e){var n=x(t.touches),i=x(t.changedTouches);return 12&e&&(n=P(n.concat(i),\"identifier\",!0)),[n,i]}g(Q,Y,{handler:function(t){var e=K[t.type];if(1===e&&(this.started=!0),this.started){var n=tt.call(this,t,e);12&e&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:\"touch\",srcEvent:t})}}});var et={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function nt(){this.evTarget=\"touchstart touchmove touchend touchcancel\",this.targetIds={},Y.apply(this,arguments)}function it(t,e){var n=x(t.touches),i=this.targetIds;if(3&e&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,s,o=x(t.changedTouches),a=[],h=this.target;if(s=n.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,n=this.state;function i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancee.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(188),a=i(189),r=i(8),h=Math.PI/2,o=\"left\",s=\"center\",n={above:{parallel:0,normal:-h,horizontal:0,vertical:-h},below:{parallel:0,normal:h,horizontal:0,vertical:h},left:{parallel:-h,normal:0,horizontal:0,vertical:-h},right:{parallel:h,normal:0,horizontal:0,vertical:h}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:o,horizontal:s,vertical:o},below:{justified:s,parallel:s,normal:o,horizontal:s,vertical:o},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:o,horizontal:o,vertical:s}},c={above:\"right\",below:o,left:\"right\",right:o},m={above:o,below:\"right\",left:\"right\",right:o};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):0===t?(l=\"whatever\",a=\"whatever\"):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(66),a=t(30),n=t(280),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=`${s}px`,this.map_el.style.left=`${t}px`,this.map_el.style.width=`${i}px`,this.map_el.style.height=`${o}px`}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", - " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(186);n.DataRange=g.DataRange;var R=a(185);n.DataRange1d=R.DataRange1d;var r=a(88);n.FactorRange=r.FactorRange;var t=a(89);n.Range=t.Range;var d=a(130);n.Range1d=d.Range1d},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(78);d.GlyphRenderer=n.GlyphRenderer;var R=e(97);d.GraphRenderer=R.GraphRenderer;var a=e(149);d.GuideRenderer=a.GuideRenderer;var G=e(63);d.Renderer=G.Renderer},\n", - " function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(184);c.CategoricalScale=l.CategoricalScale;var o=a(120);c.ContinuousScale=o.ContinuousScale;var r=a(119);c.LinearScale=r.LinearScale;var S=a(129);c.LogScale=S.LogScale;var n=a(121);c.Scale=n.Scale},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(99),o);var n=e(76);o.Selection=n.Selection},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(293);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(295);r.AjaxDataSource=S.AjaxDataSource;var u=a(73);r.ColumnDataSource=u.ColumnDataSource;var t=a(74);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(95);r.CDSView=c.CDSView;var D=a(75);r.DataSource=D.DataSource;var v=a(296);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(294);r.WebDataSource=n.WebDataSource},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(294);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(73),i=r.__importStar(e(19));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(294),r=t(70),o=s.__importStar(t(19));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(74),s=e(70),a=r.__importStar(e(19)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;ethis.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(69),s=i.__importStar(e(19));class l extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[s.String,\"\"],tile_size:[s.Number,256],max_zoom:[s.Number,30],min_zoom:[s.Number,0],extra_url_vars:[s.Any,{}],attribution:[s.String,\"\"],x_origin_offset:[s.Number],y_origin_offset:[s.Number],initial_resolution:[s.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const e in t){const i=t[e];r=r.replace(`{${e}}`,i)}return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=l,l.__name__=\"TileSource\",l.init_TileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(30);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(301);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(306),a=e(79),n=e(130),r=e(66),h=s.__importStar(e(19)),l=e(223),o=e(9),d=e(8),m=e(77),c=e(73),u=e(307);class p extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.plot_view.canvas_view.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:`${s}px`,bottom:`${_}px`,\"max-width\":`${a-4}px`,padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);ti&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=p,p.__name__=\"TileRendererView\";class g extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=p,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=g,g.__name__=\"TileRenderer\",g.init_TileRenderer()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(301);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=t(1);t(67),o.__importStar(t(66)).styles.append(\".bk-root .bk-tile-attribution a {\\n color: black;\\n}\\n\"),i.bk_tile_attribution=\"bk-tile-attribution\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(301);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n", - " function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(310);a.CanvasTexture=t.CanvasTexture;var u=e(312);a.ImageURLTexture=u.ImageURLTexture;var v=e(311);a.Texture=v.Texture},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(311),s=r.__importStar(t(19)),i=t(26);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(69),o=r.__importStar(e(19));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(311),n=r.__importStar(e(19)),s=e(223);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n", - " function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(276);T.ActionTool=a.ActionTool;var r=o(314);T.CustomAction=r.CustomAction;var e=o(277);T.HelpTool=e.HelpTool;var v=o(315);T.RedoTool=v.RedoTool;var t=o(316);T.ResetTool=t.ResetTool;var n=o(317);T.SaveTool=n.SaveTool;var s=o(318);T.UndoTool=s.UndoTool;var P=o(319);T.ZoomInTool=P.ZoomInTool;var c=o(321);T.ZoomOutTool=c.ZoomOutTool;var i=o(270);T.ButtonTool=i.ButtonTool;var d=o(322);T.EditTool=d.EditTool;var u=o(323);T.BoxEditTool=u.BoxEditTool;var y=o(324);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(325);T.PointDrawTool=m.PointDrawTool;var x=o(326);T.PolyDrawTool=x.PolyDrawTool;var B=o(327);T.PolyTool=B.PolyTool;var S=o(328);T.PolyEditTool=S.PolyEditTool;var b=o(329);T.BoxSelectTool=b.BoxSelectTool;var h=o(332);T.BoxZoomTool=h.BoxZoomTool;var Z=o(275);T.GestureTool=Z.GestureTool;var p=o(333);T.LassoSelectTool=p.LassoSelectTool;var w=o(334);T.PanTool=w.PanTool;var C=o(335);T.PolySelectTool=C.PolySelectTool;var D=o(336);T.RangeTool=D.RangeTool;var E=o(330);T.SelectTool=E.SelectTool;var H=o(337);T.TapTool=H.TapTool;var R=o(338);T.WheelPanTool=R.WheelPanTool;var A=o(339);T.WheelZoomTool=A.WheelZoomTool;var I=o(340);T.CrosshairTool=I.CrosshairTool;var W=o(341);T.CustomJSHover=W.CustomJSHover;var O=o(342);T.HoverTool=O.HoverTool;var _=o(269);T.InspectTool=_.InspectTool;var f=o(271);T.Tool=f.Tool;var g=o(343);T.ToolProxy=g.ToolProxy;var F=o(268);T.Toolbar=F.Toolbar;var G=o(274);T.ToolbarBase=G.ToolbarBase;var J=o(344);T.ProxyToolbar=J.ProxyToolbar;var L=o(344);T.ToolbarBox=L.ToolbarBox},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(276),e=n.__importStar(t(19)),c=t(272);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(276),s=o(278);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(276),i=e(278);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(276),s=e(278);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n", - " function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(276),i=o(278);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(276),s=o(320),_=e.__importStar(o(19)),m=o(278);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n", - " function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(276),n=o(320),_=e.__importStar(o(19)),m=o(278);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(19)),n=e(9),i=e(8),_=e(275);class r extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;ethis._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(19)),i=e(8),s=e(322);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,!1,[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(66),i=e(8),_=e(327),d=e(278);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,!1,[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,!1,this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=e.shiftKey;this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,!0,[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(330),l=e(105),n=s.__importStar(e(19)),_=e(278);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);if(this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove){const t=e.shiftKey;this._do_select(i,l,!1,t)}}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s),n=e.shiftKey;this._do_select(i,l,!0,n),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=!1){const n={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(n,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const a=()=>new l.BoxAnnotation({level:\"overlay\",render_mode:\"css\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class r extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=_.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[n.Dimensions,\"both\"],select_every_mousemove:[n.Boolean,!1],overlay:[n.Instance,a],origin:[n.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new r),this.register_alias(\"xbox_select\",()=>new r({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new r({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=r,r.__name__=\"BoxSelectTool\",r.init_BoxSelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),n=e(275),o=e(78),i=e(97),c=e(331),_=r.__importStar(e(19)),a=e(66),l=e(281);class d extends n.GestureToolView{get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return c.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){const e={};for(const t of this.computed_renderers){let s;if(t instanceof o.GlyphRenderer)s=t.data_source.id;else{if(!(t instanceof i.GraphRenderer))continue;s=t.node_renderer.data_source.id}s in e||(e[s]=[]),e[s].push(t)}return e}_keyup(e){if(e.keyCode==a.Keys.Esc){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}}_select(e,t,s){const r=this._computed_renderers_by_data_source();for(const n in r){const o=r[n],i=o[0].get_selection_manager(),c=[];for(const e of o)e.id in this.plot_view.renderer_views&&c.push(this.plot_view.renderer_views[e.id]);i.select(c,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,r=s.xscales.default,n=s.yscales.default;let o;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,i=r.invert(t),c=n.invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}case\"span\":{const{sx:t,sy:s}=e,i=r.invert(t),c=n.invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}case\"rect\":{const{sx0:t,sx1:s,sy0:i,sy1:c}=e,[_,a]=r.r_invert(t,s),[l,d]=n.r_invert(i,c);o=Object.assign(Object.assign({},e),{x0:_,y0:l,x1:a,y1:d});break}case\"poly\":{const{sx:t,sy:s}=e,i=r.v_invert(t),c=n.v_invert(s);o=Object.assign(Object.assign({},e),{x:i,y:c});break}}this.plot_model.trigger_event(new l.SelectionGeometry(o,t))}}s.SelectToolView=d,d.__name__=\"SelectToolView\";class u extends n.GestureTool{constructor(e){super(e)}static init_SelectTool(){this.define({renderers:[_.Any,\"auto\"],names:[_.Array,[]]})}}s.SelectTool=u,u.__name__=\"SelectTool\",u.init_SelectTool()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(275),n=t(105),a=s.__importStar(t(19)),_=t(278);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,a=e.bbox.v_range.end,_=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,u;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,ma&&(d=a)):(d=t[1],u=t[1]-l/s,u<_&&(u=_)),r=Math.abs(d-u),t[0]<=o[0]?p=t[0]+s*r:m=t[0]-s*r,[[m,p],[u,d]]}_compute_limits(t){const o=this.plot_view.frame,e=this.model.dimensions;let s,i,n=this._base_point;if(\"center\"==this.model.origin){const[o,e]=n,[s,i]=t;n=[o-(s-o),e-(i-e)]}return this.model.match_aspect&&\"both\"==e?[s,i]=this._match_aspect(n,t,o):[s,i]=this.model._get_dim_limits(n,t,o,e),[s,i]}_pan_start(t){this._base_point=[t.sx,t.sy]}_pan(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this.model.overlay.update({left:e[0],right:e[1],top:s[0],bottom:s[1]})}_pan_end(t){const o=[t.sx,t.sy],[e,s]=this._compute_limits(o);this._update(e,s),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null}_update([t,o],[e,s]){if(Math.abs(o-t)<=5||Math.abs(s-e)<=5)return;const{xscales:i,yscales:n}=this.plot_view.frame,a={};for(const e in i){const s=i[e],[n,_]=s.r_invert(t,o);a[e]={start:n,end:_}}const _={};for(const t in n){const o=n[t],[i,a]=o.r_invert(e,s);_[t]={start:i,end:a}}const l={xrs:a,yrs:_};this.plot_view.push_state(\"box_zoom\",{range:l}),this.plot_view.update_range(l)}}e.BoxZoomToolView=l,l.__name__=\"BoxZoomToolView\";const r=()=>new n.BoxAnnotation({level:\"overlay\",render_mode:\"css\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=_.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[a.Dimensions,\"both\"],overlay:[a.Instance,r],match_aspect:[a.Boolean,!1],origin:[a.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(1),a=e(330),o=e(138),i=e(66),_=l.__importStar(e(19)),c=e(278);class n extends a.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==i.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[l,a]=this.plot_view.frame.bbox.clip(s,t);if(this.data.sx.push(l),this.data.sy.push(a),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove){const s=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!1,s)}}_pan_end(e){this._clear_overlay();const s=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,s),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,l){const a={type:\"poly\",sx:e,sy:s};this._select(a,t,l)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new o.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class r extends a.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", - " function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(275),o=i.__importStar(t(19)),a=t(278);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(st.end)&&(this.v_axis_only=!0),(ne.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(330),i=e(138),a=e(66),_=l.__importStar(e(19)),c=e(9),n=e(278);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){const t=e.shiftKey;this._do_select(this.data.sx,this.data.sy,!0,t),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:{value:\"lightgrey\"},fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:2},line_dash:{value:[4,4]}});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(105),l=e(70),a=i.__importStar(e(19)),r=e(275),o=e(278);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(en.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class v extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=v,v.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",render_mode:\"canvas\",fill_color:\"lightgrey\",fill_alpha:{value:.5},line_color:{value:\"black\"},line_alpha:{value:1},line_width:{value:.5},line_dash:[2,2]});class p extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=v,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=p,p.__name__=\"RangeTool\",p.init_RangeTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(330),n=i.__importStar(e(19)),a=e(278);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s},o=e.shiftKey;this._select(i,!0,o)}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const n in o){const a=o[n],_=a[0].get_selection_manager(),c=a.map(e=>this.plot_view.renderer_views[e.id]);if(_.select(c,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],o=t.yscales[a[0].y_range_name],n=s.invert(e.sx),c=o.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:n,y:c}),source:_.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views[t.id],e)&&null!=i){const{frame:o}=this.plot_view,n=o.xscales[t.x_range_name],a=o.yscales[t.y_range_name],_=n.invert(e.sx),c=a.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=a.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[n.TapBehavior,\"select\"],callback:[n.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(275),i=n.__importStar(e(19)),a=e(278);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(275),l=e(320),n=s.__importStar(e(19)),_=e(101),h=e(278);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s}=e;let i;i=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:i})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.startnew m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(269),n=i(140),l=t.__importStar(i(19)),h=i(24),r=i(278);class _ extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:e,sy:s}=i;this.plot_view.frame.bbox.contains(e,s)?this._update_spans(e,s):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,e){const s=this.model.dimensions;\"width\"!=s&&\"both\"!=s||(this.model.spans.width.computed_location=e),\"height\"!=s&&\"both\"!=s||(this.model.spans.height.computed_location=i)}}s.CrosshairToolView=_,_.__name__=\"CrosshairToolView\";class a extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=r.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=_,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({location_units:[l.SpatialUnits,\"screen\"],render_mode:[l.RenderMode,\"css\"],spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new a)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",render_mode:this.render_mode,location_units:this.location_units,line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",render_mode:this.render_mode,location_units:this.location_units,line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}s.CrosshairTool=a,a.__name__=\"CrosshairTool\",a.init_CrosshairTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(69),i=r.__importStar(e(19)),a=e(24),n=e(26);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),i=e(269),o=e(143),r=e(78),l=e(97),a=e(331),c=n.__importStar(e(87)),d=e(158),_=e(66),p=n.__importStar(e(19)),h=e(21),m=e(24),u=e(8),y=e(96),x=e(278),f=e(144);function v(e,t,s,n,i,o){const r={x:i[e],y:o[e]},l={x:i[e+1],y:o[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return athis._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e={},t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers)if(s instanceof r.GlyphRenderer){const n=new o.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});e[s.id]=n}else if(s instanceof l.GraphRenderer){const n=new o.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});e[s.node_renderer.id]=n,e[s.edge_renderer.id]=n}return y.build_views(this.ttviews,m.values(e),{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const e in this.ttmodels){this.ttmodels[e].clear()}}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views[e.id],s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView||e instanceof l.GraphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels[s.id];if(null==n)return;n.clear();const i=s.get_selection_manager();let o=i.inspectors[s.id];if(s instanceof r.GlyphRenderer&&(o=s.view.convert_selection_to_subset(o)),o.is_empty())return;const a=i.source,{frame:c}=this.plot_view,{sx:d,sy:_}=t,p=c.xscales[s.x_range_name],h=c.yscales[s.y_range_name],u=p.invert(d),y=h.invert(_),x=e.glyph;for(const s of o.line_indices){let i,r,l=x._x[s+1],c=x._y[s+1],m=s;switch(this.model.line_policy){case\"interp\":[l,c]=x.get_interpolation_hit(s,t),i=p.compute(l),r=h.compute(c);break;case\"prev\":[[i,r],m]=w(x.sx,x.sy,s);break;case\"next\":[[i,r],m]=w(x.sx,x.sy,s+1);break;case\"nearest\":[[i,r],m]=v(s,t,d,_,x.sx,x.sy),l=x._x[m],c=x._y[m];break;default:[i,r]=[d,_]}const f={index:m,x:u,y,sx:d,sy:_,data_x:l,data_y:c,rx:i,ry:r,indices:o.line_indices,name:e.model.name};n.add(i,r,this._render_tooltips(a,m,f))}for(const e of o.image_indices){const t={index:e.index,x:u,y,sx:d,sy:_},s=this._render_tooltips(a,e,t);n.add(d,_,s)}for(const i of o.indices)if(m.isEmpty(o.multiline_indices)){const t=null!=x._x?x._x[i]:void 0,l=null!=x._y?x._y[i]:void 0;let c,p,h;if(\"snap_to_data\"==this.model.point_policy){let e=x.get_anchor_point(this.model.anchor,i,[d,_]);null==e&&(e=x.get_anchor_point(\"center\",i,[d,_])),c=e.x,p=e.y}else[c,p]=[d,_];h=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([i])[0]:i;const m={index:h,x:u,y,sx:d,sy:_,data_x:t,data_y:l,indices:o.indices,name:e.model.name};n.add(c,p,this._render_tooltips(a,h,m))}else for(const l of o.multiline_indices[i.toString()]){let c,m,f,b=x._xs[i][l],g=x._ys[i][l],k=l;switch(this.model.line_policy){case\"interp\":[b,g]=x.get_interpolation_hit(i,l,t),c=p.compute(b),m=h.compute(g);break;case\"prev\":[[c,m],k]=w(x.sxs[i],x.sys[i],l);break;case\"next\":[[c,m],k]=w(x.sxs[i],x.sys[i],l+1);break;case\"nearest\":[[c,m],k]=v(l,t,d,_,x.sxs[i],x.sys[i]),b=x._xs[i][k],g=x._ys[i][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([i])[0]:i;const T={index:f,x:u,y,sx:d,sy:_,data_x:b,data_y:g,segment_index:k,indices:o.multiline_indices,name:e.model.name};n.add(c,m,this._render_tooltips(a,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,i=n.xscales[t.x_range_name],o=n.yscales[t.y_range_name],r=i.invert(e.sx),l=o.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const i=_.div();return i.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),i}if(u.isFunction(n))return n(e,s);{const i=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[o,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(i.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=o.length?`${o}: `:\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),i=e.get_column(n);if(null==i){const e=_.span({},`${n} unknown`);l.appendChild(e);continue}const o=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?i[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}o&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return i}}}s.HoverToolView=b,b.__name__=\"HoverToolView\";class g extends i.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=b,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new g)}}s.HoverTool=g,g.__name__=\"HoverTool\",g.init_HoverTool()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),s=t(14),n=t(69),l=t(269);class c extends n.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new s.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active())}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}}e.ToolProxy=c,c.__name__=\"ToolProxy\",c.init_ToolProxy()},\n", - " function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),e=t(9),n=t(274),r=t(343),l=t(244),c=t(187);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,this._active_change.bind(this,s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,this._active_change.bind(this,t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(64),d=e(96),c=e(66),l=e(346);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(66),r=e(67);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under `);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n", - " function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(348),s=n(70),c=n(345);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n", - " function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(70),o=e(5),r=e(349),i=e(350),c=e(351);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=`${this.url}`;return null!=this.args_string&&this.args_string.length>0&&(e+=`?${this.args_string}`),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(`websocket creation failed to url: ${this.url}`),t.logger.error(` - ${e}`),e}}close(){this.closed_permanently||(t.logger.debug(`Permanently closing websocket connection ${this._number}`),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,`close method called on ClientConnection ${this._number}`),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(`not connected so cannot send ${e}`);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(`Error reply ${s.content.text}`);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(`Failed to repull session ${e}`),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(`Websocket error on socket ${this._number}`);const s=\"Could not open websocket\";t.logger.error(`Failed to connect to Bokeh server: ${s}`),e(new Error(s))}_close_bad_protocol(e){t.logger.error(`Closing connection: ${e}`),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(26);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=[]}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),h=JSON.parse(t);return new n(r,i,h)}assemble_buffer(e,s){if((null!=this.header.num_buffers?this.header.num_buffers:0)<=this.buffers.length)throw new Error(\"too many buffers received, expecting #{nb}\");this.buffers.push([e,s])}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(!(\"num_buffers\"in this.header)||this.buffers.length===this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(349);class r{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(e instanceof ArrayBuffer)throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=r,r.__name__=\"Receiver\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(349),i=e(70);class c{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>this._document_changed(e),this.document.on_change(this._document_listener)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):i.logger.debug(`Doing nothing with message ${e.msgtype()}`)}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;if(e instanceof o.ModelChangedEvent&&!(e.attr in e.model.serializable_attributes()))return;const t=s.Message.create(\"PATCH-DOC\",{},this.document.create_json_patch([e]));this._connection.send(t)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){i.logger.trace(`Unhandled OK reply to ${e.reqid()}`)}_handle_error(e){i.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=c,c.__name__=\"ClientSession\"},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(5),r=e(350),s=e(70),i=e(24),c=e(345),l=e(346);function u(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function g(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){s.logger.info(`Registering Jupyter comms for target ${e}`);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{s.logger.info(`Registering Jupyter comms for target ${e}`);const n=new r.Receiver;t.on_msg(u.bind(o,n))})}catch(e){s.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){s.logger.info(`Registering JupyterLab comms for target ${e}`);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,t=>{s.logger.info(`Registering JupyterLab comms for target ${e}`);const n=new r.Receiver;t.onMsg=u.bind(o,n)})}catch(e){s.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}e(279),e(353),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=i.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=n.Document.from_json(i.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&g(e.notebook_comms_target,t);const o=l._resolve_element(e),n=l._resolve_root_elements(e);c.add_document_standalone(t,o,n)}}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1);e(67),n.__importStar(e(66)).styles.append(\"/* notebook specific tweaks so no black outline and matching padding\\n/* can't be wrapped inside bk-root. here are the offending jupyter lines:\\n/* https://github.com/jupyter/notebook/blob/master/notebook/static/notebook/less/renderedhtml.less#L59-L76 */\\n.rendered_html .bk-root .bk-tooltip table,\\n.rendered_html .bk-root .bk-tooltip tr,\\n.rendered_html .bk-root .bk-tooltip th,\\n.rendered_html .bk-root .bk-tooltip td {\\n border: none;\\n padding: 1px;\\n}\\n\")},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(349),_),o.__exportStar(e(350),_)},\n", - " function _(e,t,n){function s(){const e=document.getElementsByTagName(\"body\")[0],t=document.getElementsByClassName(\"bokeh-test-div\");1==t.length&&(e.removeChild(t[0]),delete t[0]);const n=document.createElement(\"div\");n.classList.add(\"bokeh-test-div\"),n.style.display=\"none\",e.insertBefore(n,e.firstChild)}Object.defineProperty(n,\"__esModule\",{value:!0}),n.results={},n.init=function(){s()},n.record0=function(e,t){n.results[e]=t},n.record=function(e,t){n.results[e]=t,s()},n.count=function(e){null==n.results[e]&&(n.results[e]=0),n.results[e]+=1,s()}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.safely=function(e,t=!1){try{return e()}catch(e){if(function(e){const t=document.createElement(\"div\");t.style.backgroundColor=\"#f2dede\",t.style.border=\"1px solid #a94442\",t.style.borderRadius=\"4px\",t.style.display=\"inline-block\",t.style.fontFamily=\"sans-serif\",t.style.marginTop=\"5px\",t.style.minWidth=\"200px\",t.style.padding=\"5px 5px 5px 10px\",t.classList.add(\"bokeh-error-box-into-flames\");const o=document.createElement(\"span\");o.style.backgroundColor=\"#a94442\",o.style.borderRadius=\"0px 4px 0px 0px\",o.style.color=\"white\",o.style.cursor=\"pointer\",o.style.cssFloat=\"right\",o.style.fontSize=\"0.8em\",o.style.margin=\"-6px -6px 0px 0px\",o.style.padding=\"2px 5px 4px 5px\",o.title=\"close\",o.setAttribute(\"aria-label\",\"close\"),o.appendChild(document.createTextNode(\"x\")),o.addEventListener(\"click\",()=>r.removeChild(t));const n=document.createElement(\"h3\");n.style.color=\"#a94442\",n.style.margin=\"8px 0px 0px 0px\",n.style.padding=\"0px\",n.appendChild(document.createTextNode(\"Bokeh Error\"));const l=document.createElement(\"pre\");l.style.whiteSpace=\"unset\",l.style.overflowX=\"auto\";const s=e instanceof Error?e.message:e;l.appendChild(document.createTextNode(s)),t.appendChild(o),t.appendChild(n),t.appendChild(l);const r=document.getElementsByTagName(\"body\")[0];r.insertBefore(t,r.firstChild)}(e),t)return;throw e}}},\n", - " ], 0, {\"main\":0,\"tslib\":1,\"index\":2,\"version\":3,\"embed/index\":4,\"document/index\":5,\"document/document\":6,\"base\":7,\"core/util/types\":8,\"core/util/array\":9,\"core/util/math\":10,\"core/util/assert\":11,\"core/util/arrayable\":12,\"core/has_props\":13,\"core/signaling\":14,\"core/util/data_structures\":15,\"core/util/eq\":16,\"core/util/callback\":17,\"core/property_mixins\":18,\"core/properties\":19,\"core/enums\":20,\"core/util/color\":21,\"core/util/svg_colors\":22,\"core/settings\":23,\"core/util/object\":24,\"core/util/refs\":25,\"core/util/string\":26,\"models/index\":27,\"models/annotations/index\":28,\"models/annotations/annotation\":29,\"core/util/projections\":30,\"models/renderers/renderer\":63,\"core/dom_view\":64,\"core/view\":65,\"core/dom\":66,\"styles/root\":67,\"core/visuals\":68,\"model\":69,\"core/logging\":70,\"models/annotations/arrow\":71,\"models/annotations/arrow_head\":72,\"models/sources/column_data_source\":73,\"models/sources/columnar_data_source\":74,\"models/sources/data_source\":75,\"models/selections/selection\":76,\"core/selection_manager\":77,\"models/renderers/glyph_renderer\":78,\"models/renderers/data_renderer\":79,\"models/glyphs/line\":80,\"models/glyphs/xy_glyph\":81,\"core/util/spatial\":82,\"core/util/bbox\":85,\"models/glyphs/glyph\":86,\"core/hittest\":87,\"models/ranges/factor_range\":88,\"models/ranges/range\":89,\"models/glyphs/utils\":90,\"models/glyphs/patch\":91,\"models/glyphs/harea\":92,\"models/glyphs/area\":93,\"models/glyphs/varea\":94,\"models/sources/cds_view\":95,\"core/build_views\":96,\"models/renderers/graph_renderer\":97,\"models/graphs/graph_hit_test_policy\":98,\"models/selections/interaction_policy\":99,\"core/util/serialization\":100,\"core/util/compat\":101,\"core/util/typed_array\":102,\"document/events\":103,\"models/annotations/band\":104,\"models/annotations/box_annotation\":105,\"styles/annotations\":106,\"models/annotations/color_bar\":107,\"models/tickers/basic_ticker\":108,\"models/tickers/adaptive_ticker\":109,\"models/tickers/continuous_ticker\":110,\"models/tickers/ticker\":111,\"models/formatters/basic_tick_formatter\":112,\"models/formatters/tick_formatter\":113,\"models/mappers/linear_color_mapper\":114,\"models/mappers/continuous_color_mapper\":115,\"models/mappers/color_mapper\":116,\"models/mappers/mapper\":117,\"models/transforms/transform\":118,\"models/scales/linear_scale\":119,\"models/scales/continuous_scale\":120,\"models/scales/scale\":121,\"models/transforms/index\":122,\"models/transforms/customjs_transform\":123,\"models/transforms/dodge\":124,\"models/transforms/interpolator\":125,\"models/transforms/jitter\":126,\"models/transforms/linear_interpolator\":127,\"models/transforms/step_interpolator\":128,\"models/scales/log_scale\":129,\"models/ranges/range1d\":130,\"core/util/text\":131,\"models/annotations/label\":132,\"models/annotations/text_annotation\":133,\"models/annotations/label_set\":134,\"models/annotations/legend\":135,\"models/annotations/legend_item\":136,\"core/vectorization\":137,\"models/annotations/poly_annotation\":138,\"models/annotations/slope\":139,\"models/annotations/span\":140,\"models/annotations/title\":141,\"models/annotations/toolbar_panel\":142,\"models/annotations/tooltip\":143,\"styles/tooltips\":144,\"styles/mixins\":145,\"models/annotations/whisker\":146,\"models/axes/index\":147,\"models/axes/axis\":148,\"models/renderers/guide_renderer\":149,\"models/axes/categorical_axis\":150,\"models/tickers/categorical_ticker\":151,\"models/formatters/categorical_tick_formatter\":152,\"models/axes/continuous_axis\":153,\"models/axes/datetime_axis\":154,\"models/axes/linear_axis\":155,\"models/formatters/datetime_tick_formatter\":156,\"core/util/templating\":158,\"models/tickers/datetime_ticker\":161,\"models/tickers/composite_ticker\":162,\"models/tickers/days_ticker\":163,\"models/tickers/single_interval_ticker\":164,\"models/tickers/util\":165,\"models/tickers/months_ticker\":166,\"models/tickers/years_ticker\":167,\"models/axes/log_axis\":168,\"models/formatters/log_tick_formatter\":169,\"models/tickers/log_ticker\":170,\"models/axes/mercator_axis\":171,\"models/formatters/mercator_tick_formatter\":172,\"models/tickers/mercator_ticker\":173,\"models/callbacks/index\":174,\"models/callbacks/customjs\":175,\"models/callbacks/callback\":176,\"models/callbacks/open_url\":177,\"models/canvas/index\":178,\"models/canvas/canvas\":179,\"core/util/canvas\":180,\"styles/canvas\":181,\"models/canvas/cartesian_frame\":183,\"models/scales/categorical_scale\":184,\"models/ranges/data_range1d\":185,\"models/ranges/data_range\":186,\"core/layout/index\":187,\"core/layout/types\":188,\"core/layout/layoutable\":189,\"core/layout/alignments\":190,\"core/layout/grid\":191,\"core/layout/html\":192,\"models/expressions/index\":193,\"models/expressions/expression\":194,\"models/expressions/stack\":195,\"models/expressions/cumsum\":196,\"models/filters/index\":197,\"models/filters/boolean_filter\":198,\"models/filters/filter\":199,\"models/filters/customjs_filter\":200,\"models/filters/group_filter\":201,\"models/filters/index_filter\":202,\"models/formatters/index\":203,\"models/formatters/func_tick_formatter\":204,\"models/formatters/numeral_tick_formatter\":205,\"models/formatters/printf_tick_formatter\":206,\"models/glyphs/index\":207,\"models/glyphs/annular_wedge\":208,\"models/glyphs/annulus\":209,\"models/glyphs/arc\":210,\"models/glyphs/bezier\":211,\"models/glyphs/circle\":212,\"models/glyphs/center_rotatable\":213,\"models/glyphs/ellipse\":214,\"models/glyphs/ellipse_oval\":215,\"models/glyphs/hbar\":216,\"models/glyphs/box\":217,\"models/glyphs/hex_tile\":218,\"models/glyphs/image\":219,\"models/glyphs/image_base\":220,\"models/glyphs/image_rgba\":221,\"models/glyphs/image_url\":222,\"core/util/image\":223,\"models/glyphs/multi_line\":224,\"models/glyphs/multi_polygons\":225,\"models/glyphs/oval\":226,\"models/glyphs/patches\":227,\"models/glyphs/quad\":228,\"models/glyphs/quadratic\":229,\"models/glyphs/ray\":230,\"models/glyphs/rect\":231,\"models/glyphs/segment\":232,\"models/glyphs/step\":233,\"models/glyphs/text\":234,\"models/glyphs/vbar\":235,\"models/glyphs/wedge\":236,\"models/graphs/index\":237,\"models/graphs/layout_provider\":238,\"models/graphs/static_layout_provider\":239,\"models/grids/index\":240,\"models/grids/grid\":241,\"models/layouts/index\":242,\"models/layouts/box\":243,\"models/layouts/layout_dom\":244,\"models/layouts/column\":245,\"models/layouts/grid_box\":246,\"models/layouts/html_box\":247,\"models/layouts/row\":248,\"models/layouts/spacer\":249,\"models/layouts/tabs\":250,\"styles/tabs\":251,\"styles/buttons\":252,\"styles/menus\":253,\"models/layouts/widget_box\":254,\"models/mappers/index\":255,\"models/mappers/categorical_color_mapper\":256,\"models/mappers/categorical_mapper\":257,\"models/mappers/categorical_marker_mapper\":258,\"models/mappers/categorical_pattern_mapper\":259,\"models/mappers/log_color_mapper\":260,\"models/markers/index\":261,\"models/markers/defs\":262,\"models/markers/marker\":263,\"models/markers/scatter\":264,\"models/plots/index\":265,\"models/plots/gmap_plot\":266,\"models/plots/plot\":267,\"models/tools/toolbar\":268,\"models/tools/inspectors/inspect_tool\":269,\"models/tools/button_tool\":270,\"models/tools/tool\":271,\"styles/toolbar\":272,\"models/tools/on_off_button\":273,\"models/tools/toolbar_base\":274,\"models/tools/gestures/gesture_tool\":275,\"models/tools/actions/action_tool\":276,\"models/tools/actions/help_tool\":277,\"styles/icons\":278,\"styles/logo\":279,\"models/plots/plot_canvas\":280,\"core/bokeh_events\":281,\"core/ui_events\":282,\"core/util/wheel\":284,\"core/util/throttle\":285,\"core/layout/side_panel\":286,\"models/plots/gmap_plot_canvas\":287,\"models/ranges/index\":288,\"models/renderers/index\":289,\"models/scales/index\":290,\"models/selections/index\":291,\"models/sources/index\":292,\"models/sources/server_sent_data_source\":293,\"models/sources/web_data_source\":294,\"models/sources/ajax_data_source\":295,\"models/sources/geojson_data_source\":296,\"models/tickers/index\":297,\"models/tickers/fixed_ticker\":298,\"models/tiles/index\":299,\"models/tiles/bbox_tile_source\":300,\"models/tiles/mercator_tile_source\":301,\"models/tiles/tile_source\":302,\"models/tiles/tile_utils\":303,\"models/tiles/quadkey_tile_source\":304,\"models/tiles/tile_renderer\":305,\"models/tiles/wmts_tile_source\":306,\"styles/tiles\":307,\"models/tiles/tms_tile_source\":308,\"models/textures/index\":309,\"models/textures/canvas_texture\":310,\"models/textures/texture\":311,\"models/textures/image_url_texture\":312,\"models/tools/index\":313,\"models/tools/actions/custom_action\":314,\"models/tools/actions/redo_tool\":315,\"models/tools/actions/reset_tool\":316,\"models/tools/actions/save_tool\":317,\"models/tools/actions/undo_tool\":318,\"models/tools/actions/zoom_in_tool\":319,\"core/util/zoom\":320,\"models/tools/actions/zoom_out_tool\":321,\"models/tools/edit/edit_tool\":322,\"models/tools/edit/box_edit_tool\":323,\"models/tools/edit/freehand_draw_tool\":324,\"models/tools/edit/point_draw_tool\":325,\"models/tools/edit/poly_draw_tool\":326,\"models/tools/edit/poly_tool\":327,\"models/tools/edit/poly_edit_tool\":328,\"models/tools/gestures/box_select_tool\":329,\"models/tools/gestures/select_tool\":330,\"models/tools/util\":331,\"models/tools/gestures/box_zoom_tool\":332,\"models/tools/gestures/lasso_select_tool\":333,\"models/tools/gestures/pan_tool\":334,\"models/tools/gestures/poly_select_tool\":335,\"models/tools/gestures/range_tool\":336,\"models/tools/gestures/tap_tool\":337,\"models/tools/gestures/wheel_pan_tool\":338,\"models/tools/gestures/wheel_zoom_tool\":339,\"models/tools/inspectors/crosshair_tool\":340,\"models/tools/inspectors/customjs_hover\":341,\"models/tools/inspectors/hover_tool\":342,\"models/tools/tool_proxy\":343,\"models/tools/toolbar_box\":344,\"embed/standalone\":345,\"embed/dom\":346,\"embed/server\":347,\"client/connection\":348,\"protocol/message\":349,\"protocol/receiver\":350,\"client/session\":351,\"embed/notebook\":352,\"styles/notebook\":353,\"protocol/index\":354,\"testing\":355,\"safely\":356}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-widgets.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.0.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 376: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(377));o.Widgets=r,e(7).register_models(r)},\n", - " 377: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(378);t.AbstractButton=a.AbstractButton;var o=r(381);t.AbstractIcon=o.AbstractIcon;var u=r(382);t.AutocompleteInput=u.AutocompleteInput;var n=r(386);t.Button=n.Button;var i=r(387);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(389);t.CheckboxGroup=v.CheckboxGroup;var p=r(391);t.ColorPicker=p.ColorPicker;var l=r(392);t.DatePicker=l.DatePicker;var c=r(395);t.DateRangeSlider=c.DateRangeSlider;var d=r(400);t.DateSlider=d.DateSlider;var g=r(401);t.Div=g.Div;var I=r(404);t.Dropdown=I.Dropdown;var S=r(405);t.FileInput=S.FileInput;var P=r(384);t.InputWidget=P.InputWidget;var k=r(402);t.Markup=k.Markup;var x=r(406);t.MultiSelect=x.MultiSelect;var D=r(407);t.Paragraph=D.Paragraph;var b=r(408);t.PasswordInput=b.PasswordInput;var s=r(409);t.MultiChoice=s.MultiChoice;var h=r(412);t.PreText=h.PreText;var A=r(413);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(414);t.RadioGroup=B.RadioGroup;var C=r(415);t.RangeSlider=C.RangeSlider;var G=r(416);t.Select=G.Select;var R=r(417);t.Slider=R.Slider;var T=r(418);t.Spinner=T.Spinner;var M=r(383);t.TextInput=M.TextInput;var w=r(419);t.TextAreaInput=w.TextAreaInput;var W=r(420);t.Toggle=W.Toggle;var _=r(441);t.Widget=_.Widget},\n", - " 378: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1).__importStar(t(19)),s=t(66),o=t(96),l=t(379),r=t(252);class _ extends l.ControlView{async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await o.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}_render_button(...t){return s.button({type:\"button\",disabled:this.model.disabled,class:[r.bk_btn,r.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(s.prepend(this.button_el,this.icon_view.el,s.nbsp()),this.icon_view.render()),this.group_el=s.div({class:r.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=_,_.__name__=\"AbstractButtonView\";class c extends l.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[i.String,\"Button\"],icon:[i.Instance],button_type:[i.ButtonType,\"default\"]})}}n.AbstractButton=c,c.__name__=\"AbstractButton\",c.init_AbstractButton()},\n", - " 379: function _(e,n,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(441);class o extends t.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>this.render())}}s.ControlView=o,o.__name__=\"ControlView\";class i extends t.Widget{constructor(e){super(e)}}s.Control=i,i.__name__=\"Control\"},\n", - " 441: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(247),r=o.__importStar(i(19));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n", - " 381: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(69),n=e(64);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n", - " 382: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(383),h=e(66),_=i.__importStar(e(19)),o=e(10),u=e(145),r=e(253);class c extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengththis.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n", - " 384: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),l=e(379),s=e(66),_=n.__importStar(e(19)),o=e(385);class p extends l.ControlView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}render(){super.render();const{title:e}=this.model;this.label_el=s.label({style:{display:0==e.length?\"none\":\"\"}},e),this.group_el=s.div({class:o.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class r extends l.Control{constructor(e){super(e)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=r,r.__name__=\"InputWidget\",r.init_InputWidget()},\n", - " 385: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(1);n(67),e.__importStar(n(66)).styles.append('.bk-root .bk-input {\\n display: inline-block;\\n width: 100%;\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n min-height: 31px;\\n padding: 0 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n border-color: #66afe9;\\n outline: 0;\\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n color: #999;\\n opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n cursor: not-allowed;\\n background-color: #eee;\\n opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n height: auto;\\n appearance: none;\\n -webkit-appearance: none;\\n background-image: url(\\'data:image/svg+xml;utf8,\\');\\n background-position: right 0.5em center;\\n background-size: 8px 6px;\\n background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n height: auto;\\n}\\n.bk-root .bk-input-group {\\n width: 100%;\\n height: 100%;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: start;\\n -webkit-align-items: start;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'),t.bk_input=\"bk-input\",t.bk_input_group=\"bk-input-group\"},\n", - " 386: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(378),o=t(281);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n", - " 387: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(388),n=t(66),s=t(15),u=i.__importStar(t(19)),a=t(145);class r extends c.ButtonGroupView{get active(){return new s.Set(this.model.active)}change_active(t){const{active:e}=this;e.toggle(t),this.model.active=e.values}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{n.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=r,r.__name__=\"CheckboxButtonGroupView\";class _ extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=r,this.define({active:[u.Array,[]]})}}o.CheckboxButtonGroup=_,_.__name__=\"CheckboxButtonGroup\",_.init_CheckboxButtonGroup()},\n", - " 388: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=t(1),o=t(379),i=t(66),_=s.__importStar(t(19)),r=t(252);class a extends o.ControlView{connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const n=i.div({class:[r.bk_btn,r.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return n.addEventListener(\"click\",()=>this.change_active(e)),n}),this._update_active();const t=i.div({class:r.bk_btn_group},this._buttons);this.el.appendChild(t)}}n.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class u extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[_.Array,[]],button_type:[_.ButtonType,\"default\"]})}}n.ButtonGroup=u,u.__name__=\"ButtonGroup\",u.init_ButtonGroup()},\n", - " 389: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(390),s=e(66),c=e(9),l=e(15),a=n.__importStar(e(19)),r=e(145),d=e(385);class p extends o.InputGroupView{render(){super.render();const e=s.div({class:[d.bk_input_group,this.model.inline?r.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;for(let n=0;nthis.change_active(n)),this.model.disabled&&(o.disabled=!0),c.includes(t,n)&&(o.checked=!0);const l=s.label({},o,s.span({},i[n]));e.appendChild(l)}}change_active(e){const t=new l.Set(this.model.active);t.toggle(e),this.model.active=t.values}}i.CheckboxGroupView=p,p.__name__=\"CheckboxGroupView\";class u extends o.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=p,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=u,u.__name__=\"CheckboxGroup\",u.init_CheckboxGroup()},\n", - " 390: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(379);class s extends o.ControlView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}}t.InputGroupView=s,s.__name__=\"InputGroupView\";class c extends o.Control{constructor(e){super(e)}}t.InputGroup=c,c.__name__=\"InputGroup\"},\n", - " 391: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(384),s=e(66),l=n.__importStar(e(19)),r=e(385);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n", - " 392: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),a=n.__importDefault(e(393)),s=e(384),l=e(66),o=n.__importStar(e(19)),d=e(8),r=e(385);function c(e){const t=[];for(const i of e)d.isString(i)?t.push(i):d.isArray(i)&&2==i.length&&t.push({from:i[0],to:i[1]});return t}e(394);class u extends s.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:a,position:s,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",a.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",s.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:r.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=a.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:c(this.model.disabled_dates),enable:c(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=u,u.__name__=\"DatePickerView\";class _ extends s.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=u,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=_,_.__name__=\"DatePicker\",_.init_DatePicker()},\n", - " 393: function _(e,t,n){\n", - " /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},a={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var t=e%100;if(t>3&&t<21)return\"th\";switch(t%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},i=function(e){return(\"0\"+e).slice(-2)},o=function(e){return!0===e?1:0};function r(e,t,n){var a;return void 0===n&&(n=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,n||e.apply(i,o)}),t),n&&!a&&e.apply(i,o)}}var l=function(e){return e instanceof Array?e:[e]};function c(e,t,n){if(!0===n)return e.classList.add(t);e.classList.remove(t)}function d(e,t,n){var a=window.document.createElement(e);return t=t||\"\",n=n||\"\",a.className=t,void 0!==n&&(a.textContent=n),a}function s(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function u(e,t){var n=d(\"div\",\"numInputWrapper\"),a=d(\"input\",\"numInput \"+e),i=d(\"span\",\"arrowUp\"),o=d(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 9.0\")?a.type=\"number\":(a.type=\"text\",a.pattern=\"\\\\d*\"),void 0!==t)for(var r in t)a.setAttribute(r,t[r]);return n.appendChild(a),n.appendChild(i),n.appendChild(o),n}var f=function(){},m=function(e,t,n){return n.months[t?\"shorthand\":\"longhand\"][e]},g={D:f,F:function(e,t,n){e.setMonth(n.months.longhand.indexOf(t))},G:function(e,t){e.setHours(parseFloat(t))},H:function(e,t){e.setHours(parseFloat(t))},J:function(e,t){e.setDate(parseFloat(t))},K:function(e,t,n){e.setHours(e.getHours()%12+12*o(new RegExp(n.amPM[1],\"i\").test(t)))},M:function(e,t,n){e.setMonth(n.months.shorthand.indexOf(t))},S:function(e,t){e.setSeconds(parseFloat(t))},U:function(e,t){return new Date(1e3*parseFloat(t))},W:function(e,t,n){var a=parseInt(t),i=new Date(e.getFullYear(),0,2+7*(a-1),0,0,0,0);return i.setDate(i.getDate()-i.getDay()+n.firstDayOfWeek),i},Y:function(e,t){e.setFullYear(parseFloat(t))},Z:function(e,t){return new Date(t)},d:function(e,t){e.setDate(parseFloat(t))},h:function(e,t){e.setHours(parseFloat(t))},i:function(e,t){e.setMinutes(parseFloat(t))},j:function(e,t){e.setDate(parseFloat(t))},l:f,m:function(e,t){e.setMonth(parseFloat(t)-1)},n:function(e,t){e.setMonth(parseFloat(t)-1)},s:function(e,t){e.setSeconds(parseFloat(t))},u:function(e,t){return new Date(parseFloat(t))},w:f,y:function(e,t){e.setFullYear(2e3+parseFloat(t))}},p={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},h={Z:function(e){return e.toISOString()},D:function(e,t,n){return t.weekdays.shorthand[h.w(e,t,n)]},F:function(e,t,n){return m(h.n(e,t,n)-1,!1,t)},G:function(e,t,n){return i(h.h(e,t,n))},H:function(e){return i(e.getHours())},J:function(e,t){return void 0!==t.ordinal?e.getDate()+t.ordinal(e.getDate()):e.getDate()},K:function(e,t){return t.amPM[o(e.getHours()>11)]},M:function(e,t){return m(e.getMonth(),!0,t)},S:function(e){return i(e.getSeconds())},U:function(e){return e.getTime()/1e3},W:function(e,t,n){return n.getWeek(e)},Y:function(e){return e.getFullYear()},d:function(e){return i(e.getDate())},h:function(e){return e.getHours()%12?e.getHours()%12:12},i:function(e){return i(e.getMinutes())},j:function(e){return e.getDate()},l:function(e,t){return t.weekdays.longhand[e.getDay()]},m:function(e){return i(e.getMonth()+1)},n:function(e){return e.getMonth()+1},s:function(e){return e.getSeconds()},u:function(e){return e.getTime()},w:function(e){return e.getDay()},y:function(e){return String(e.getFullYear()).substring(2)}},v=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,n){var a=n||r;return void 0!==i.formatDate?i.formatDate(e,t,a):t.split(\"\").map((function(t,n,o){return h[t]&&\"\\\\\"!==o[n-1]?h[t](e,a,i):\"\\\\\"!==t?t:\"\"})).join(\"\")}},D=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,a,o){if(0===e||e){var l,c=o||r,d=e;if(e instanceof Date)l=new Date(e.getTime());else if(\"string\"!=typeof e&&void 0!==e.toFixed)l=new Date(e);else if(\"string\"==typeof e){var s=t||(i||n).dateFormat,u=String(e).trim();if(\"today\"===u)l=new Date,a=!0;else if(/Z$/.test(u)||/GMT$/.test(u))l=new Date(e);else if(i&&i.parseDate)l=i.parseDate(e,s);else{l=i&&i.noCalendar?new Date((new Date).setHours(0,0,0,0)):new Date((new Date).getFullYear(),0,1,0,0,0,0);for(var f=void 0,m=[],h=0,v=0,D=\"\";hr&&(s=n===h.hourElement?s-r-o(!h.amPM):a,f&&Y(void 0,1,h.hourElement)),h.amPM&&u&&(1===l?s+c===23:Math.abs(s-c)>l)&&(h.amPM.textContent=h.l10n.amPM[o(h.amPM.textContent===h.l10n.amPM[0])]),n.value=i(s)}}(e);var t=h._input.value;E(),ve(),h._input.value!==t&&h._debouncedChange()}function E(){if(void 0!==h.hourElement&&void 0!==h.minuteElement){var e,t,n=(parseInt(h.hourElement.value.slice(-2),10)||0)%24,a=(parseInt(h.minuteElement.value,10)||0)%60,i=void 0!==h.secondElement?(parseInt(h.secondElement.value,10)||0)%60:0;void 0!==h.amPM&&(e=n,t=h.amPM.textContent,n=e%12+12*o(t===h.l10n.amPM[1]));var r=void 0!==h.config.minTime||h.config.minDate&&h.minDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.minDate,!0);if(void 0!==h.config.maxTime||h.config.maxDate&&h.maxDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.maxDate,!0)){var l=void 0!==h.config.maxTime?h.config.maxTime:h.config.maxDate;(n=Math.min(n,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(r){var c=void 0!==h.config.minTime?h.config.minTime:h.config.minDate;(n=Math.max(n,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}I(n,a,i)}}function T(e){var t=e||h.latestSelectedDateObj;t&&I(t.getHours(),t.getMinutes(),t.getSeconds())}function k(){var e=h.config.defaultHour,t=h.config.defaultMinute,n=h.config.defaultSeconds;if(void 0!==h.config.minDate){var a=h.config.minDate.getHours(),i=h.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(t=Math.max(i,t)),e===a&&t===i&&(n=h.config.minDate.getSeconds())}if(void 0!==h.config.maxDate){var o=h.config.maxDate.getHours(),r=h.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(t=Math.min(r,t)),e===o&&t===r&&(n=h.config.maxDate.getSeconds())}I(e,t,n)}function I(e,t,n){void 0!==h.latestSelectedDateObj&&h.latestSelectedDateObj.setHours(e%24,t,n||0,0),h.hourElement&&h.minuteElement&&!h.isMobile&&(h.hourElement.value=i(h.config.time_24hr?e:(12+e)%12+12*o(e%12==0)),h.minuteElement.value=i(t),void 0!==h.amPM&&(h.amPM.textContent=h.l10n.amPM[o(e>=12)]),void 0!==h.secondElement&&(h.secondElement.value=i(n)))}function S(e){var t=parseInt(e.target.value)+(e.delta||0);(t/1e3>1||\"Enter\"===e.key&&!/[^\\d]/.test(t.toString()))&&V(t)}function O(e,t,n,a){return t instanceof Array?t.forEach((function(t){return O(e,t,n,a)})):e instanceof Array?e.forEach((function(e){return O(e,t,n,a)})):(e.addEventListener(t,n,a),void h._handlers.push({element:e,event:t,handler:n,options:a}))}function _(e){return function(t){1===t.which&&e(t)}}function F(){fe(\"onChange\")}function N(e,t){var n=void 0!==e?h.parseDate(e):h.latestSelectedDateObj||(h.config.minDate&&h.config.minDate>h.now?h.config.minDate:h.config.maxDate&&h.config.maxDate=0&&w(e,h.selectedDates[1])<=0}(t)&&!ge(t)&&o.classList.add(\"inRange\"),h.weekNumbers&&1===h.config.showMonths&&\"prevMonthDay\"!==e&&n%7==1&&h.weekNumbers.insertAdjacentHTML(\"beforeend\",\"\"+h.config.getWeek(t)+\"\"),fe(\"onDayCreate\",o),o}function j(e){e.focus(),\"range\"===h.config.mode&&ee(e)}function H(e){for(var t=e>0?0:h.config.showMonths-1,n=e>0?h.config.showMonths:-1,a=t;a!=n;a+=e)for(var i=h.daysContainer.children[a],o=e>0?0:i.children.length-1,r=e>0?i.children.length:-1,l=o;l!=r;l+=e){var c=i.children[l];if(-1===c.className.indexOf(\"hidden\")&&Z(c.dateObj))return c}}function L(e,t){var n=Q(document.activeElement||document.body),a=void 0!==e?e:n?document.activeElement:void 0!==h.selectedDateElem&&Q(h.selectedDateElem)?h.selectedDateElem:void 0!==h.todayDateElem&&Q(h.todayDateElem)?h.todayDateElem:H(t>0?1:-1);return void 0===a?h._input.focus():n?void function(e,t){for(var n=-1===e.className.indexOf(\"Month\")?e.dateObj.getMonth():h.currentMonth,a=t>0?h.config.showMonths:-1,i=t>0?1:-1,o=n-h.currentMonth;o!=a;o+=i)for(var r=h.daysContainer.children[o],l=n-h.currentMonth===o?e.$i+t:t<0?r.children.length-1:0,c=r.children.length,d=l;d>=0&&d0?c:-1);d+=i){var s=r.children[d];if(-1===s.className.indexOf(\"hidden\")&&Z(s.dateObj)&&Math.abs(e.$i-d)>=Math.abs(t))return j(s)}h.changeMonth(i),L(H(i),0)}(a,t):j(a)}function W(e,t){for(var n=(new Date(e,t,1).getDay()-h.l10n.firstDayOfWeek+7)%7,a=h.utils.getDaysInMonth((t-1+12)%12),i=h.utils.getDaysInMonth(t),o=window.document.createDocumentFragment(),r=h.config.showMonths>1,l=r?\"prevMonthDay hidden\":\"prevMonthDay\",c=r?\"nextMonthDay hidden\":\"nextMonthDay\",s=a+1-n,u=0;s<=a;s++,u++)o.appendChild(A(l,new Date(e,t-1,s),s,u));for(s=1;s<=i;s++,u++)o.appendChild(A(\"\",new Date(e,t,s),s,u));for(var f=i+1;f<=42-n&&(1===h.config.showMonths||u%7!=0);f++,u++)o.appendChild(A(c,new Date(e,t+1,f%i),f,u));var m=d(\"div\",\"dayContainer\");return m.appendChild(o),m}function R(){if(void 0!==h.daysContainer){s(h.daysContainer),h.weekNumbers&&s(h.weekNumbers);for(var e=document.createDocumentFragment(),t=0;t1||\"dropdown\"!==h.config.monthSelectorType)){var e=function(e){return!(void 0!==h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&eh.config.maxDate.getMonth())};h.monthsDropdownContainer.tabIndex=-1,h.monthsDropdownContainer.innerHTML=\"\";for(var t=0;t<12;t++)if(e(t)){var n=d(\"option\",\"flatpickr-monthDropdown-month\");n.value=new Date(h.currentYear,t).getMonth().toString(),n.textContent=m(t,h.config.shorthandCurrentMonth,h.l10n),n.tabIndex=-1,h.currentMonth===t&&(n.selected=!0),h.monthsDropdownContainer.appendChild(n)}}}function J(){var e,t=d(\"div\",\"flatpickr-month\"),n=window.document.createDocumentFragment();h.config.showMonths>1||\"static\"===h.config.monthSelectorType?e=d(\"span\",\"cur-month\"):(h.monthsDropdownContainer=d(\"select\",\"flatpickr-monthDropdown-months\"),O(h.monthsDropdownContainer,\"change\",(function(e){var t=e.target,n=parseInt(t.value,10);h.changeMonth(n-h.currentMonth),fe(\"onMonthChange\")})),B(),e=h.monthsDropdownContainer);var a=u(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",h.l10n.yearAriaLabel),h.config.minDate&&i.setAttribute(\"min\",h.config.minDate.getFullYear().toString()),h.config.maxDate&&(i.setAttribute(\"max\",h.config.maxDate.getFullYear().toString()),i.disabled=!!h.config.minDate&&h.config.minDate.getFullYear()===h.config.maxDate.getFullYear());var o=d(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),n.appendChild(o),t.appendChild(n),{container:t,yearElement:i,monthElement:e}}function K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e\\n \"+t.join(\"\")+\"\\n \\n \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var r}function V(e){if(!(!e||h.config.minDate&&eh.config.maxDate.getFullYear())){var t=e,n=h.currentYear!==t;h.currentYear=t||h.currentYear,h.config.maxDate&&h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth=Math.min(h.config.maxDate.getMonth(),h.currentMonth):h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&(h.currentMonth=Math.max(h.config.minDate.getMonth(),h.currentMonth)),n&&(h.redraw(),fe(\"onYearChange\"),B())}}function Z(e,t){void 0===t&&(t=!0);var n=h.parseDate(e,void 0,t);if(h.config.minDate&&n&&w(n,h.config.minDate,void 0!==t?t:!h.minDateHasTime)<0||h.config.maxDate&&n&&w(n,h.config.maxDate,void 0!==t?t:!h.maxDateHasTime)>0)return!1;if(0===h.config.enable.length&&0===h.config.disable.length)return!0;if(void 0===n)return!1;for(var a=h.config.enable.length>0,i=a?h.config.enable:h.config.disable,o=0,r=void 0;o=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>n&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),nt&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&dn,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete h.altInput),h.input&&(h.input.type=h.input._type,h.input.classList.remove(\"flatpickr-input\"),h.input.removeAttribute(\"readonly\"),h.input.value=\"\"),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete h[e]}catch(e){}}))},h.isEnabled=Z,h.jumpToDate=N,h.open=function(e,t){if(void 0===t&&(t=h._positionElement),!0===h.isMobile)return e&&(e.preventDefault(),e.target&&e.target.blur()),void 0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYearh.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return e.appendChild(t),{weekWrapper:e,weekNumbers:t}}(),n=t.weekWrapper,a=t.weekNumbers;h.innerContainer.appendChild(n),h.weekNumbers=a,h.weekWrapper=n}h.rContainer=d(\"div\",\"flatpickr-rContainer\"),h.rContainer.appendChild(U()),h.daysContainer||(h.daysContainer=d(\"div\",\"flatpickr-days\"),h.daysContainer.tabIndex=-1),R(),h.rContainer.appendChild(h.daysContainer),h.innerContainer.appendChild(h.rContainer),e.appendChild(h.innerContainer)}h.config.enableTime&&e.appendChild(function(){h.calendarContainer.classList.add(\"hasTime\"),h.config.noCalendar&&h.calendarContainer.classList.add(\"noCalendar\"),h.timeContainer=d(\"div\",\"flatpickr-time\"),h.timeContainer.tabIndex=-1;var e=d(\"span\",\"flatpickr-time-separator\",\":\"),t=u(\"flatpickr-hour\",{\"aria-label\":h.l10n.hourAriaLabel});h.hourElement=t.getElementsByTagName(\"input\")[0];var n=u(\"flatpickr-minute\",{\"aria-label\":h.l10n.minuteAriaLabel});if(h.minuteElement=n.getElementsByTagName(\"input\")[0],h.hourElement.tabIndex=h.minuteElement.tabIndex=-1,h.hourElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getHours():h.config.time_24hr?h.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(h.config.defaultHour)),h.minuteElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getMinutes():h.config.defaultMinute),h.hourElement.setAttribute(\"step\",h.config.hourIncrement.toString()),h.minuteElement.setAttribute(\"step\",h.config.minuteIncrement.toString()),h.hourElement.setAttribute(\"min\",h.config.time_24hr?\"0\":\"1\"),h.hourElement.setAttribute(\"max\",h.config.time_24hr?\"23\":\"12\"),h.minuteElement.setAttribute(\"min\",\"0\"),h.minuteElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(t),h.timeContainer.appendChild(e),h.timeContainer.appendChild(n),h.config.time_24hr&&h.timeContainer.classList.add(\"time24hr\"),h.config.enableSeconds){h.timeContainer.classList.add(\"hasSeconds\");var a=u(\"flatpickr-second\");h.secondElement=a.getElementsByTagName(\"input\")[0],h.secondElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getSeconds():h.config.defaultSeconds),h.secondElement.setAttribute(\"step\",h.minuteElement.getAttribute(\"step\")),h.secondElement.setAttribute(\"min\",\"0\"),h.secondElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(d(\"span\",\"flatpickr-time-separator\",\":\")),h.timeContainer.appendChild(a)}return h.config.time_24hr||(h.amPM=d(\"span\",\"flatpickr-am-pm\",h.l10n.amPM[o((h.latestSelectedDateObj?h.hourElement.value:h.config.defaultHour)>11)]),h.amPM.title=h.l10n.toggleTitle,h.amPM.tabIndex=-1,h.timeContainer.appendChild(h.amPM)),h.timeContainer}()),c(h.calendarContainer,\"rangeMode\",\"range\"===h.config.mode),c(h.calendarContainer,\"animate\",!0===h.config.animate),c(h.calendarContainer,\"multiMonth\",h.config.showMonths>1),h.calendarContainer.appendChild(e);var r=void 0!==h.config.appendTo&&void 0!==h.config.appendTo.nodeType;if((h.config.inline||h.config.static)&&(h.calendarContainer.classList.add(h.config.inline?\"inline\":\"static\"),h.config.inline&&(!r&&h.element.parentNode?h.element.parentNode.insertBefore(h.calendarContainer,h._input.nextSibling):void 0!==h.config.appendTo&&h.config.appendTo.appendChild(h.calendarContainer)),h.config.static)){var l=d(\"div\",\"flatpickr-wrapper\");h.element.parentNode&&h.element.parentNode.insertBefore(l,h.element),l.appendChild(h.element),h.altInput&&l.appendChild(h.altInput),l.appendChild(h.calendarContainer)}h.config.static||h.config.inline||(void 0!==h.config.appendTo?h.config.appendTo:window.document.body).appendChild(h.calendarContainer)}(),function(){if(h.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(h.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(t){return O(t,\"click\",h[e])}))})),h.isMobile)!function(){var e=h.config.enableTime?h.config.noCalendar?\"time\":\"datetime-local\":\"date\";h.mobileInput=d(\"input\",h.input.className+\" flatpickr-mobile\"),h.mobileInput.step=h.input.getAttribute(\"step\")||\"any\",h.mobileInput.tabIndex=1,h.mobileInput.type=e,h.mobileInput.disabled=h.input.disabled,h.mobileInput.required=h.input.required,h.mobileInput.placeholder=h.input.placeholder,h.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",h.selectedDates.length>0&&(h.mobileInput.defaultValue=h.mobileInput.value=h.formatDate(h.selectedDates[0],h.mobileFormatStr)),h.config.minDate&&(h.mobileInput.min=h.formatDate(h.config.minDate,\"Y-m-d\")),h.config.maxDate&&(h.mobileInput.max=h.formatDate(h.config.maxDate,\"Y-m-d\")),h.input.type=\"hidden\",void 0!==h.altInput&&(h.altInput.type=\"hidden\");try{h.input.parentNode&&h.input.parentNode.insertBefore(h.mobileInput,h.input.nextSibling)}catch(e){}O(h.mobileInput,\"change\",(function(e){h.setDate(e.target.value,!1,h.mobileFormatStr),fe(\"onChange\"),fe(\"onClose\")}))}();else{var e=r(te,50);h._debouncedChange=r(F,300),h.daysContainer&&!/iPhone|iPad|iPod/i.test(navigator.userAgent)&&O(h.daysContainer,\"mouseover\",(function(e){\"range\"===h.config.mode&&ee(e.target)})),O(window.document.body,\"keydown\",X),h.config.inline||h.config.static||O(window,\"resize\",e),void 0!==window.ontouchstart?O(window.document,\"touchstart\",G):O(window.document,\"mousedown\",_(G)),O(window.document,\"focus\",G,{capture:!0}),!0===h.config.clickOpens&&(O(h._input,\"focus\",h.open),O(h._input,\"mousedown\",_(h.open))),void 0!==h.daysContainer&&(O(h.monthNav,\"mousedown\",_(De)),O(h.monthNav,[\"keyup\",\"increment\"],S),O(h.daysContainer,\"mousedown\",_(ce))),void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&(O(h.timeContainer,[\"increment\"],x),O(h.timeContainer,\"blur\",x,{capture:!0}),O(h.timeContainer,\"mousedown\",_(P)),O([h.hourElement,h.minuteElement],[\"focus\",\"click\"],(function(e){return e.target.select()})),void 0!==h.secondElement&&O(h.secondElement,\"focus\",(function(){return h.secondElement&&h.secondElement.select()})),void 0!==h.amPM&&O(h.amPM,\"mousedown\",_((function(e){x(e),F()}))))}}(),(h.selectedDates.length||h.config.noCalendar)&&(h.config.enableTime&&T(h.config.noCalendar?h.latestSelectedDateObj||h.config.minDate:void 0),ve(!1)),M(),h.showTimeInput=h.selectedDates.length>0||h.config.noCalendar;var a=/^((?!chrome|android).)*safari/i.test(navigator.userAgent);!h.isMobile&&a&&oe(),fe(\"onReady\")}(),h}function M(e,t){for(var n=Array.prototype.slice.call(e).filter((function(e){return e instanceof HTMLElement})),a=[],i=0;ithis.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=`${this.model.title}: `),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(`.${h}connect`).style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{cssPrefix:h,range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(`.${h}handle`)[e].querySelector(`.${h}tooltip`).style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:d.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}_.__name__=\"AbstractBaseSliderView\";class c extends _{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(`.${h}handle`);e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=c,c.__name__=\"AbstractSliderView\";class u extends _{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(`.${h}handle-lower`),t=this.slider_el.querySelector(`.${h}handle-upper`);e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=u,u.__name__=\"AbstractRangeSliderView\";class m extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return`${e}`}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=m,m.__name__=\"AbstractSlider\",m.init_AbstractSlider()},\n", - " 397: function _(t,e,r){\n", - " /*! nouislider - 10.1.0 - 2017-07-28 17:11:18 */var n;n=function(){\"use strict\";var t=\"10.1.0\";function e(t){t.preventDefault()}function r(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function n(t,e,r){r>0&&(s(t,e),setTimeout((function(){a(t,e)}),r))}function i(t){return Array.isArray(t)?t:[t]}function o(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function s(t,e){t.classList?t.classList.add(e):t.className+=\" \"+e}function a(t,e){t.classList?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function l(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function u(t,e){return 100/(e-t)}function c(t,e){return 100*e/(t[1]-t[0])}function p(t,e){for(var r=1;t>=e[r];)r+=1;return r}function f(t,e,r){if(r>=t.slice(-1)[0])return 100;var n,i,o,s,a=p(r,t);return n=t[a-1],i=t[a],o=e[a-1],s=e[a],o+function(t,e){return c(t,t[0]<0?e+Math.abs(t[0]):e-t[0])}([n,i],r)/u(o,s)}function d(t,e,r,n){if(100===n)return n;var i,o,s=p(n,t);return r?n-(i=t[s-1])>((o=t[s])-i)/2?o:i:e[s-1]?t[s-1]+function(t,e){return Math.round(t/e)*e}(n-t[s-1],e[s-1]):n}function h(t,e,n){var i;if(\"number\"==typeof e&&(e=[e]),\"[object Array]\"!==Object.prototype.toString.call(e))throw new Error(\"noUiSlider (10.1.0): 'range' contains invalid value.\");if(!r(i=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!r(e[0]))throw new Error(\"noUiSlider (10.1.0): 'range' value isn't numeric.\");n.xPct.push(i),n.xVal.push(e[0]),i?n.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(n.xSteps[0]=e[1]),n.xHighestCompleteStep.push(0)}function m(t,e,r){if(!e)return!0;r.xSteps[t]=c([r.xVal[t],r.xVal[t+1]],e)/u(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}function g(t,e,r){this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var n,i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;n=100)return t.slice(-1)[0];var n,i=p(r,e);return function(t,e){return e*(t[1]-t[0])/100+t[0]}([t[i-1],t[i]],(r-(n=e[i-1]))*u(n,e[i]))}(this.xVal,this.xPct,t)},g.prototype.getStep=function(t){return t=d(this.xPct,this.xSteps,this.snap,t)},g.prototype.getNearbySteps=function(t){var e=p(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e-0],step:this.xNumSteps[e-0],highestStep:this.xHighestCompleteStep[e-0]}}},g.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(o);return Math.max.apply(null,t)},g.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var v={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number};function b(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (10.1.0): 'format' requires 'to' and 'from' methods.\")}function S(t,e){if(!r(e))throw new Error(\"noUiSlider (10.1.0): 'step' is not numeric.\");t.singleStep=e}function w(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (10.1.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (10.1.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (10.1.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new g(e,t.snap,t.singleStep)}function x(t,e){if(e=i(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (10.1.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function y(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (10.1.0): 'snap' option must be a boolean.\")}function E(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (10.1.0): 'animate' option must be a boolean.\")}function C(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (10.1.0): 'animationDuration' option must be a number.\")}function N(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r=50)throw new Error(\"noUiSlider (10.1.0): 'padding' option must be less than half the range.\")}}function O(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (10.1.0): 'direction' option was not recognized.\")}}function k(t,e){if(\"string\"!=typeof e)throw new Error(\"noUiSlider (10.1.0): 'behaviour' must be a string containing options.\");var r=e.indexOf(\"tap\")>=0,n=e.indexOf(\"drag\")>=0,i=e.indexOf(\"fixed\")>=0,o=e.indexOf(\"snap\")>=0,s=e.indexOf(\"hover\")>=0;if(i){if(2!==t.handles)throw new Error(\"noUiSlider (10.1.0): 'fixed' behaviour must be used with 2 handles\");P(t,t.start[1]-t.start[0])}t.events={tap:r||o,drag:n,fixed:i,snap:o,hover:s}}function V(t,e){if(t.multitouch=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (10.1.0): 'multitouch' option must be a boolean.\")}function F(t,e){if(!1!==e)if(!0===e){t.tooltips=[];for(var r=0;r-1?1:\"steps\"===e?2:0,!o&&a&&(h=0),c===S&&l||(i[f.toFixed(5)]=[c,h]),u=f}})),i}(r,e,i),s=t.format||{to:Math.round};return d=b.appendChild(V(o,n,s))}function z(){var t=u.getBoundingClientRect(),e=\"offset\"+[\"Width\",\"Height\"][r.ort];return 0===r.ort?t.width||u[e]:t.height||u[e]}function j(t,e,n,i){var o=function(o){return!b.hasAttribute(\"disabled\")&&(s=b,a=r.cssClasses.tap,!(s.classList?s.classList.contains(a):new RegExp(\"\\\\b\"+a+\"\\\\b\").test(s.className))&&!!(o=function(t,e,n){var i,o,s=0===t.type.indexOf(\"touch\"),a=0===t.type.indexOf(\"mouse\"),u=0===t.type.indexOf(\"pointer\");if(0===t.type.indexOf(\"MSPointer\")&&(u=!0),s&&r.multitouch){var c=function(t){return t.target===n||n.contains(t.target)};if(\"touchstart\"===t.type){var p=Array.prototype.filter.call(t.touches,c);if(p.length>1)return!1;i=p[0].pageX,o=p[0].pageY}else{var f=Array.prototype.find.call(t.changedTouches,c);if(!f)return!1;i=f.pageX,o=f.pageY}}else if(s){if(t.touches.length>1)return!1;i=t.changedTouches[0].pageX,o=t.changedTouches[0].pageY}return e=e||l(N),(a||u)&&(i=t.clientX+e.x,o=t.clientY+e.y),t.pageOffset=e,t.points=[i,o],t.cursor=a||u,t}(o,i.pageOffset,i.target||e))&&!(t===g.start&&void 0!==o.buttons&&o.buttons>1)&&(!i.hover||!o.buttons)&&(v||o.preventDefault(),o.calcPoint=o.points[r.ort],void n(o,i)));var s,a},s=[];return t.split(\" \").forEach((function(t){e.addEventListener(t,o,!!v&&{passive:!0}),s.push([t,o])})),s}function H(t){var e,n,i,o,s,a,c=100*(t-(e=u,n=r.ort,i=e.getBoundingClientRect(),o=e.ownerDocument,s=o.documentElement,a=l(o),/webkit.*Chrome.*Mobile/i.test(navigator.userAgent)&&(a.x=0),n?i.top+a.y-s.clientTop:i.left+a.x-s.clientLeft))/z();return r.dir?100-c:c}function D(t,e,r,n){var i=r.slice(),o=[!t,t],s=[t,!t];n=n.slice(),t&&n.reverse(),n.length>1?n.forEach((function(t,r){var n=W(i,t,i[t]+e,o[r],s[r],!1);!1===n?e=0:(e=n-i[t],i[t]=n)})):o=s=[!0];var a=!1;n.forEach((function(t,n){a=J(t,r[t]+e,o[n],s[n])||a})),a&&n.forEach((function(t){T(\"update\",t),T(\"slide\",t)}))}function T(t,e,n){Object.keys(C).forEach((function(i){var o=i.split(\".\")[0];t===o&&C[i].forEach((function(t){t.call(f,E.map(r.format.to),e,E.slice(),n||!1,S.slice())}))}))}function R(t,e){\"mouseout\"===t.type&&\"HTML\"===t.target.nodeName&&null===t.relatedTarget&&B(t,e)}function X(t,e){if(-1===navigator.appVersion.indexOf(\"MSIE 9\")&&0===t.buttons&&0!==e.buttonsProperty)return B(t,e);var n=(r.dir?-1:1)*(t.calcPoint-e.startCalcPoint);D(n>0,100*n/e.baseSize,e.locations,e.handleNumbers)}function B(t,n){n.handle&&(a(n.handle,r.cssClasses.active),x-=1),n.listeners.forEach((function(t){U.removeEventListener(t[0],t[1])})),0===x&&(a(b,r.cssClasses.drag),G(),t.cursor&&(P.style.cursor=\"\",P.removeEventListener(\"selectstart\",e))),n.handleNumbers.forEach((function(t){T(\"change\",t),T(\"set\",t),T(\"end\",t)}))}function Y(t,n){var i;if(1===n.handleNumbers.length){var o=c[n.handleNumbers[0]];if(o.hasAttribute(\"disabled\"))return!1;i=o.children[0],x+=1,s(i,r.cssClasses.active)}t.stopPropagation();var a=[],l=j(g.move,U,X,{target:t.target,handle:i,listeners:a,startCalcPoint:t.calcPoint,baseSize:z(),pageOffset:t.pageOffset,handleNumbers:n.handleNumbers,buttonsProperty:t.buttons,locations:S.slice()}),u=j(g.end,U,B,{target:t.target,handle:i,listeners:a,handleNumbers:n.handleNumbers}),p=j(\"mouseout\",U,R,{target:t.target,handle:i,listeners:a,handleNumbers:n.handleNumbers});a.push.apply(a,l.concat(u,p)),t.cursor&&(P.style.cursor=getComputedStyle(t.target).cursor,c.length>1&&s(b,r.cssClasses.drag),P.addEventListener(\"selectstart\",e,!1)),n.handleNumbers.forEach((function(t){T(\"start\",t)}))}function _(t){t.stopPropagation();var e=H(t.calcPoint),i=function(t){var e=100,r=!1;return c.forEach((function(n,i){if(!n.hasAttribute(\"disabled\")){var o=Math.abs(S[i]-t);o1&&(i&&e>0&&(n=Math.max(n,t[e-1]+r.margin)),o&&e1&&r.limit&&(i&&e>0&&(n=Math.min(n,t[e-1]+r.limit)),o&&e50?-1:1,r=3+(c.length+e*t);c[t].childNodes[0].style.zIndex=r}))}function J(t,e,n,i){return!1!==(e=W(S,t,e,n,i,!1))&&(function(t,e){S[t]=e,E[t]=y.fromStepping(e);var n=function(){c[t].style[r.style]=$(e),K(t),K(t+1)};window.requestAnimationFrame&&r.useRequestAnimationFrame?window.requestAnimationFrame(n):n()}(t,e),!0)}function K(t){if(p[t]){var e=0,n=100;0!==t&&(e=S[t-1]),t!==p.length-1&&(n=S[t]),p[t].style[r.style]=$(e),p[t].style[r.styleOposite]=$(100-n)}}function Q(t,e){null!==t&&!1!==t&&(\"number\"==typeof t&&(t=String(t)),!1===(t=r.format.from(t))||isNaN(t)||J(e,y.toStepping(t),!1,!1))}function Z(t,e){var o=i(t),s=void 0===S[0];e=void 0===e||!!e,o.forEach(Q),r.animate&&!s&&n(b,r.cssClasses.tap,r.animationDuration),w.forEach((function(t){J(t,S[t],!0,!1)})),G(),w.forEach((function(t){T(\"update\",t),null!==o[t]&&e&&T(\"set\",t)}))}function tt(){var t=E.map(r.format.to);return 1===t.length?t[0]:t}function et(t,e){C[t]=C[t]||[],C[t].push(e),\"update\"===t.split(\".\")[0]&&c.forEach((function(t,e){T(\"update\",e)}))}if(b.noUiSlider)throw new Error(\"noUiSlider (10.1.0): Slider was already initialized.\");return function(t){s(t,r.cssClasses.target),0===r.dir?s(t,r.cssClasses.ltr):s(t,r.cssClasses.rtl),0===r.ort?s(t,r.cssClasses.horizontal):s(t,r.cssClasses.vertical),u=A(t,r.cssClasses.base)}(b),function(t,e){c=[],(p=[]).push(O(e,t[0]));for(var n=0;nr.stepAfter.startValue&&(i=r.stepAfter.startValue-n),o=n>r.thisStep.startValue?r.thisStep.step:!1!==r.stepBefore.step&&n-r.stepBefore.highestStep,100===t?i=null:0===t&&(o=null);var s=y.countStepDecimals();return null!==i&&!1!==i&&(i=Number(i.toFixed(s))),null!==o&&!1!==o&&(o=Number(o.toFixed(s))),[o,i]}))},on:et,off:function(t){var e=t&&t.split(\".\")[0],r=e&&t.substring(e.length);Object.keys(C).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||delete C[t]}))},get:tt,set:Z,reset:function(t){Z(r.start,t)},__moveHandles:function(t,e,r){D(t,e,S,r)},options:o,updateOptions:function(t,e){var n=tt(),i=[\"margin\",\"limit\",\"padding\",\"range\",\"animate\",\"snap\",\"step\",\"format\"];i.forEach((function(e){void 0!==t[e]&&(o[e]=t[e])}));var s=q(o);i.forEach((function(e){void 0!==t[e]&&(r[e]=s[e])})),y=s.spectrum,r.margin=s.margin,r.limit=s.limit,r.padding=s.padding,r.pips&&L(r.pips),S=[],Z(t.start||n,e)},target:b,removePips:F,pips:L},(h=r.events).fixed||c.forEach((function(t,e){j(g.start,t.children[0],Y,{handleNumbers:[e]})})),h.tap&&j(g.start,u,_,{}),h.hover&&j(g.move,u,I,{hover:!0}),h.drag&&p.forEach((function(t,e){if(!1!==t&&0!==e&&e!==p.length-1){var n=c[e-1],i=c[e],o=[t];s(t,r.cssClasses.draggable),h.fixed&&(o.push(n.children[0]),o.push(i.children[0])),o.forEach((function(t){j(g.start,t,Y,{handles:[n,i],handleNumbers:[e-1,e]})}))}})),Z(r.start),r.pips&&L(r.pips),r.tooltips&&(m=c.map(k),et(\"update\",(function(t,e,n){if(m[e]){var i=t[e];!0!==r.tooltips[e]&&(i=r.tooltips[e].to(n[e])),m[e].innerHTML=i}}))),et(\"update\",(function(t,e,n,i,o){w.forEach((function(t){var e=c[t],i=W(S,t,0,!0,!0,!0),s=W(S,t,100,!0,!0,!0),a=o[t],l=r.ariaFormat.to(n[t]);e.children[0].setAttribute(\"aria-valuemin\",i.toFixed(1)),e.children[0].setAttribute(\"aria-valuemax\",s.toFixed(1)),e.children[0].setAttribute(\"aria-valuenow\",a.toFixed(1)),e.children[0].setAttribute(\"aria-valuetext\",l)}))})),f}return{version:t,create:function(t,e){if(!t||!t.nodeName)throw new Error(\"noUiSlider (10.1.0): create requires a single element, got: \"+t);var r=T(t,q(e),e);return t.noUiSlider=r,r}}},\"function\"==typeof define&&define.amd?define([],n):\"object\"==typeof r?e.exports=n():window.noUiSlider=n()},\n", - " 398: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1);e(67),e(399),l.__importStar(e(66)).styles.append(\".bk-root .bk-slider-title {\\n white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n font-weight: 600;\\n}\\n\"),i.bk_slider_value=\"bk-slider-value\",i.bk_slider_title=\"bk-slider-title\",i.bk_input_group=\"bk-input-group\"},\n", - " 399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=n(1);n(67),r.__importStar(n(66)).styles.append('.bk-root {\\n /* Functional styling;\\n * These styles are required for noUiSlider to function.\\n * You don\\'t need to change these rules to apply your design.\\n */\\n /* Painting and performance;\\n * Browsers can paint handles in their own layer.\\n */\\n /* Slider size and handle placement;\\n */\\n /* Styling;\\n */\\n /* Handles and cursors;\\n */\\n /* Handle stripes;\\n */\\n /* Disabled state;\\n */\\n /* Base;\\n *\\n */\\n /* Values;\\n *\\n */\\n /* Markings;\\n *\\n */\\n /* Horizontal layout;\\n *\\n */\\n /* Vertical layout;\\n *\\n */\\n}\\n.bk-root .bk-noUi-target,\\n.bk-root .bk-noUi-target * {\\n -webkit-touch-callout: none;\\n -webkit-tap-highlight-color: rgba(0, 0, 0, 0);\\n -webkit-user-select: none;\\n -ms-touch-action: none;\\n touch-action: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n user-select: none;\\n -moz-box-sizing: border-box;\\n box-sizing: border-box;\\n}\\n.bk-root .bk-noUi-target {\\n position: relative;\\n direction: ltr;\\n}\\n.bk-root .bk-noUi-base {\\n width: 100%;\\n height: 100%;\\n position: relative;\\n z-index: 1;\\n /* Fix 401 */\\n}\\n.bk-root .bk-noUi-connect {\\n position: absolute;\\n right: 0;\\n top: 0;\\n left: 0;\\n bottom: 0;\\n}\\n.bk-root .bk-noUi-origin {\\n position: absolute;\\n height: 0;\\n width: 0;\\n}\\n.bk-root .bk-noUi-handle {\\n position: relative;\\n z-index: 1;\\n}\\n.bk-root .bk-noUi-state-tap .bk-noUi-connect,\\n.bk-root .bk-noUi-state-tap .bk-noUi-origin {\\n -webkit-transition: top 0.3s, right 0.3s, bottom 0.3s, left 0.3s;\\n transition: top 0.3s, right 0.3s, bottom 0.3s, left 0.3s;\\n}\\n.bk-root .bk-noUi-state-drag * {\\n cursor: inherit !important;\\n}\\n.bk-root .bk-noUi-base,\\n.bk-root .bk-noUi-handle {\\n -webkit-transform: translate3d(0, 0, 0);\\n transform: translate3d(0, 0, 0);\\n}\\n.bk-root .bk-noUi-horizontal {\\n height: 18px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 34px;\\n height: 28px;\\n left: -17px;\\n top: -6px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 18px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 28px;\\n height: 34px;\\n left: -6px;\\n top: -17px;\\n}\\n.bk-root .bk-noUi-target {\\n background: #FAFAFA;\\n border-radius: 4px;\\n border: 1px solid #D3D3D3;\\n box-shadow: inset 0 1px 1px #F0F0F0, 0 3px 6px -5px #BBB;\\n}\\n.bk-root .bk-noUi-connect {\\n background: #3FB8AF;\\n border-radius: 4px;\\n box-shadow: inset 0 0 3px rgba(51, 51, 51, 0.45);\\n -webkit-transition: background 450ms;\\n transition: background 450ms;\\n}\\n.bk-root .bk-noUi-draggable {\\n cursor: ew-resize;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-draggable {\\n cursor: ns-resize;\\n}\\n.bk-root .bk-noUi-handle {\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #FFF;\\n cursor: default;\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #EBEBEB, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-active {\\n box-shadow: inset 0 0 1px #FFF, inset 0 1px 7px #DDD, 0 3px 6px -3px #BBB;\\n}\\n.bk-root .bk-noUi-handle:before,\\n.bk-root .bk-noUi-handle:after {\\n content: \"\";\\n display: block;\\n position: absolute;\\n height: 14px;\\n width: 1px;\\n background: #E8E7E6;\\n left: 14px;\\n top: 6px;\\n}\\n.bk-root .bk-noUi-handle:after {\\n left: 17px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:before,\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n width: 14px;\\n height: 1px;\\n left: 6px;\\n top: 14px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle:after {\\n top: 17px;\\n}\\n.bk-root [disabled] .bk-noUi-connect {\\n background: #B8B8B8;\\n}\\n.bk-root [disabled].bk-noUi-target,\\n.bk-root [disabled].bk-noUi-handle,\\n.bk-root [disabled] .bk-noUi-handle {\\n cursor: not-allowed;\\n}\\n.bk-root .bk-noUi-pips,\\n.bk-root .bk-noUi-pips * {\\n -moz-box-sizing: border-box;\\n box-sizing: border-box;\\n}\\n.bk-root .bk-noUi-pips {\\n position: absolute;\\n color: #999;\\n}\\n.bk-root .bk-noUi-value {\\n position: absolute;\\n white-space: nowrap;\\n text-align: center;\\n}\\n.bk-root .bk-noUi-value-sub {\\n color: #ccc;\\n font-size: 10px;\\n}\\n.bk-root .bk-noUi-marker {\\n position: absolute;\\n background: #CCC;\\n}\\n.bk-root .bk-noUi-marker-sub {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-marker-large {\\n background: #AAA;\\n}\\n.bk-root .bk-noUi-pips-horizontal {\\n padding: 10px 0;\\n height: 80px;\\n top: 100%;\\n left: 0;\\n width: 100%;\\n}\\n.bk-root .bk-noUi-value-horizontal {\\n -webkit-transform: translate3d(-50%, 50%, 0);\\n transform: translate3d(-50%, 50%, 0);\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker {\\n margin-left: -1px;\\n width: 2px;\\n height: 5px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-sub {\\n height: 10px;\\n}\\n.bk-root .bk-noUi-marker-horizontal.bk-noUi-marker-large {\\n height: 15px;\\n}\\n.bk-root .bk-noUi-pips-vertical {\\n padding: 0 10px;\\n height: 100%;\\n top: 0;\\n left: 100%;\\n}\\n.bk-root .bk-noUi-value-vertical {\\n -webkit-transform: translate3d(0, 50%, 0);\\n transform: translate3d(0, 50%, 0);\\n padding-left: 25px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker {\\n width: 5px;\\n height: 2px;\\n margin-top: -1px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-sub {\\n width: 10px;\\n}\\n.bk-root .bk-noUi-marker-vertical.bk-noUi-marker-large {\\n width: 15px;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: block;\\n position: absolute;\\n border: 1px solid #D9D9D9;\\n border-radius: 3px;\\n background: #fff;\\n color: #000;\\n padding: 5px;\\n text-align: center;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-tooltip {\\n -webkit-transform: translate(-50%, 0);\\n transform: translate(-50%, 0);\\n left: 50%;\\n bottom: 120%;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-tooltip {\\n -webkit-transform: translate(0, -50%);\\n transform: translate(0, -50%);\\n top: 50%;\\n right: 120%;\\n}\\n.bk-root .bk-noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .bk-noUi-handle.bk-noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .bk-noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .bk-noUi-handle:hover .bk-noUi-tooltip {\\n display: block;\\n}\\n.bk-root .bk-noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .bk-noUi-horizontal.bk-noUi-target {\\n margin: 5px 0px;\\n}\\n.bk-root .bk-noUi-horizontal .bk-noUi-handle {\\n width: 14px;\\n height: 18px;\\n left: -7px;\\n top: -5px;\\n}\\n.bk-root .bk-noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .bk-noUi-vertical.bk-noUi-target {\\n margin: 0px 5px;\\n}\\n.bk-root .bk-noUi-vertical .bk-noUi-handle {\\n width: 18px;\\n height: 14px;\\n left: -5px;\\n top: -7px;\\n}\\n.bk-root .bk-noUi-handle:after,\\n.bk-root .bk-noUi-handle:before {\\n display: none;\\n}\\n.bk-root .bk-noUi-connect {\\n box-shadow: none;\\n}\\n')},\n", - " 400: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(157)),a=e(396);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n", - " 401: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(402),n=r.__importStar(e(19));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", - " 402: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(187),a=e(66),r=s.__importStar(e(19)),l=e(441),_=e(403);class c extends l.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.render(),this.root.compute_layout()})}_update_layout(){this.layout=new n.VariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=a.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}i.MarkupView=c,c.__name__=\"MarkupView\";class o extends l.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[r.String,\"\"],style:[r.Any,{}]})}}i.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", - " 403: function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);e(67),n.__importStar(e(66)).styles.append('.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'),t.bk_clearfix=\"bk-clearfix\"},\n", - " 404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(378),o=e(281),_=e(66),d=n.__importStar(e(19)),l=e(8),r=e(145),c=e(252),u=e(253);class h extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}render(){super.render();const e=_.div({class:[u.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(c.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:u.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[u.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=h,h.__name__=\"DropdownView\";class p extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=h,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=p,p.__name__=\"Dropdown\",p.init_Dropdown()},\n", - " 405: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(19)),s=e(441);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n", - " 406: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(66),l=e(8),o=e(15),r=i.__importStar(e(19)),c=e(384),h=e(385);class a extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:h.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new o.Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=a,a.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=a,this.define({value:[r.Array,[]],options:[r.Array,[]],size:[r.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n", - " 407: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(402),p=a(66);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n", - " 408: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(383);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n", - " 409: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(410)),o=e(66),n=e(8),h=s.__importStar(e(19)),c=e(385);e(411);const r=e(384);class d extends r.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:c.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=d,d.__name__=\"MultiChoiceView\";class a extends r.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=d,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=a,a.__name__=\"MultiChoice\",a.init_MultiChoice()},\n", - " 410: function _(e,t,i){\n", - " /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n", - " var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n", - " /*!\n", - " * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n", - " *\n", - " * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n", - " * All Rights Reserved. Apache Software License 2.0\n", - " *\n", - " * http://www.apache.org/licenses/LICENSE-2.0\n", - " */\n", - " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n", - " 414: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(66),o=e(26),d=n.__importStar(e(19)),s=e(390),l=e(145),r=e(385);class p extends s.InputGroupView{render(){super.render();const e=a.div({class:[r.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=o.uniqueId(),{active:t,labels:n}=this.model;for(let o=0;othis.change_active(o)),this.model.disabled&&(d.disabled=!0),o==t&&(d.checked=!0);const s=a.label({},d,a.span({},n[o]));e.appendChild(s)}}change_active(e){this.model.active=e}}t.RadioGroupView=p,p.__name__=\"RadioGroupView\";class u extends s.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=p,this.define({active:[d.Number],labels:[d.Array,[]],inline:[d.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n", - " 415: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(159)),a=e(396),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n", - " 416: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(66),l=e(8),o=e(70),c=i.__importStar(e(19)),d=e(384),a=e(385);class r extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}build_options(e){return e.map(e=>{let t,s;l.isString(e)?t=s=e:[t,s]=e;const i=this.model.value==t;return n.option({selected:i,value:t},s)})}render(){let e;if(super.render(),l.isArray(this.model.options))e=this.build_options(this.model.options);else{e=[];const t=this.model.options;for(const s in t){const i=t[s];e.push(n.optgroup({label:s},this.build_options(i)))}}this.select_el=n.select({class:a.bk_input,id:this.model.id,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el)}change_input(){const e=this.select_el.value;o.logger.debug(`selectbox: value = ${e}`),this.model.value=e,super.change_input()}}s.SelectView=r,r.__name__=\"SelectView\";class u extends d.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=r,this.define({value:[c.String,\"\"],options:[c.Any,[]]})}}s.Select=u,u.__name__=\"Select\",u.init_Select()},\n", - " 417: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(159)),o=e(396),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n", - " 418: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(384),l=e(66),h=n.__importStar(e(19)),o=e(385),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n", - " 419: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(383),l=e(384),h=e(66),o=s.__importStar(e(19)),a=e(385);class p extends l.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=h.textarea({class:a.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=p,p.__name__=\"TextAreaInputView\";class r extends n.TextInput{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=p,this.define({cols:[o.Number,20],rows:[o.Number,2],max_length:[o.Number,500]})}}i.TextAreaInput=r,r.__name__=\"TextAreaInput\",r.init_TextAreaInput()},\n", - " 420: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(378),o=e(66),a=s.__importStar(e(19)),n=e(145);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n", - " }, 376, {\"models/widgets/main\":376,\"models/widgets/index\":377,\"models/widgets/abstract_button\":378,\"models/widgets/control\":379,\"models/widgets/widget\":441,\"models/widgets/abstract_icon\":381,\"models/widgets/autocomplete_input\":382,\"models/widgets/text_input\":383,\"models/widgets/input_widget\":384,\"styles/widgets/inputs\":385,\"models/widgets/button\":386,\"models/widgets/checkbox_button_group\":387,\"models/widgets/button_group\":388,\"models/widgets/checkbox_group\":389,\"models/widgets/input_group\":390,\"models/widgets/color_picker\":391,\"models/widgets/date_picker\":392,\"styles/widgets/flatpickr\":394,\"models/widgets/date_range_slider\":395,\"models/widgets/abstract_slider\":396,\"styles/widgets/sliders\":398,\"styles/widgets/nouislider\":399,\"models/widgets/date_slider\":400,\"models/widgets/div\":401,\"models/widgets/markup\":402,\"styles/clearfix\":403,\"models/widgets/dropdown\":404,\"models/widgets/file_input\":405,\"models/widgets/multiselect\":406,\"models/widgets/paragraph\":407,\"models/widgets/password_input\":408,\"models/widgets/multichoice\":409,\"styles/widgets/choices\":411,\"models/widgets/pretext\":412,\"models/widgets/radio_button_group\":413,\"models/widgets/radio_group\":414,\"models/widgets/range_slider\":415,\"models/widgets/selectbox\":416,\"models/widgets/slider\":417,\"models/widgets/spinner\":418,\"models/widgets/textarea_input\":419,\"models/widgets/toggle\":420}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.0.2\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 421: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(422));o.Tables=r,e(7).register_models(r)},\n", - " 422: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(423),r),e.__exportStar(a(444),r);var t=a(424);r.DataTable=t.DataTable;var o=a(447);r.TableColumn=o.TableColumn;var n=a(440);r.TableWidget=n.TableWidget;var u=a(448);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(449);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n", - " 423: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(19)),r=e(66),a=e(64),n=e(69),l=e(424),u=e(442);class d extends a.DOMView{constructor(e){super(Object.assign({model:e.column.model},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n", - " 424: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(425),n=e(429),l=e(430),r=e(431),d=s.__importStar(e(19)),a=e(26),h=e(8),c=e(9),u=e(24),_=e(70),m=e(187),g=e(440),p=e(441),b=e(442);i.DTINDEX_NAME=\"__bkdt_internal_index__\";class w{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=w,w.__name__=\"TableDataProvider\";class x extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>e.toColumn());if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new w(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=x,x.__name__=\"DataTableView\";class f extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=x,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=f,f.__name__=\"DataTable\",f.init_DataTable()},\n", - " 425: function _(e,t,n){var o=e(426),r=e(428);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n=0&&l0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.4.1\",constructor:b,length:0,toArray:function(){return o.call(this)},get:function(e){return null==e?o.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(o.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n+~]|\"+M+\")\"+M+\"*\"),U=new RegExp(M+\"|>\"),X=new RegExp($),V=new RegExp(\"^\"+I+\"$\"),G={ID:new RegExp(\"^#(\"+I+\")\"),CLASS:new RegExp(\"^\\\\.(\"+I+\")\"),TAG:new RegExp(\"^(\"+I+\"|[*])\"),ATTR:new RegExp(\"^\"+W),PSEUDO:new RegExp(\"^\"+$),CHILD:new RegExp(\"^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\\\(\"+M+\"*(even|odd|(([+-]|)(\\\\d*)n|)\"+M+\"*(?:([+-]|)\"+M+\"*(\\\\d+)|))\"+M+\"*\\\\)|)\",\"i\"),bool:new RegExp(\"^(?:\"+R+\")$\",\"i\"),needsContext:new RegExp(\"^\"+M+\"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\\\(\"+M+\"*((?:-\\\\d)?\\\\d*)\"+M+\"*\\\\)|)(?=[^-]|$)\",\"i\")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\\d$/i,K=/^[^{]+\\{\\s*\\[native \\w/,Z=/^(?:#([\\w-]+)|(\\w+)|\\.([\\w-]+))$/,ee=/[+~]/,te=new RegExp(\"\\\\\\\\([\\\\da-f]{1,6}\"+M+\"?|(\"+M+\")|.)\",\"ig\"),ne=function(e,t,n){var r=\"0x\"+t-65536;return r!=r||n?t:r<0?String.fromCharCode(r+65536):String.fromCharCode(r>>10|55296,1023&r|56320)},re=/([\\0-\\x1f\\x7f]|^-?\\d)|^-$|[^\\0-\\x1f\\x7f-\\uFFFF\\w-]/g,ie=function(e,t){return t?\"\\0\"===e?\"�\":e.slice(0,-1)+\"\\\\\"+e.charCodeAt(e.length-1).toString(16)+\" \":\"\\\\\"+e},oe=function(){p()},ae=be((function(e){return!0===e.disabled&&\"fieldset\"===e.nodeName.toLowerCase()}),{dir:\"parentNode\",next:\"legend\"});try{H.apply(j=O.call(w.childNodes),w.childNodes),j[w.childNodes.length].nodeType}catch(e){H={apply:j.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){for(var n=e.length,r=0;e[n++]=t[r++];);e.length=n-1}}}function se(e,t,r,i){var o,s,l,c,f,h,y,m=t&&t.ownerDocument,T=t?t.nodeType:9;if(r=r||[],\"string\"!=typeof e||!e||1!==T&&9!==T&&11!==T)return r;if(!i&&((t?t.ownerDocument||t:w)!==d&&p(t),t=t||d,g)){if(11!==T&&(f=Z.exec(e)))if(o=f[1]){if(9===T){if(!(l=t.getElementById(o)))return r;if(l.id===o)return r.push(l),r}else if(m&&(l=m.getElementById(o))&&x(t,l)&&l.id===o)return r.push(l),r}else{if(f[2])return H.apply(r,t.getElementsByTagName(e)),r;if((o=f[3])&&n.getElementsByClassName&&t.getElementsByClassName)return H.apply(r,t.getElementsByClassName(o)),r}if(n.qsa&&!N[e+\" \"]&&(!v||!v.test(e))&&(1!==T||\"object\"!==t.nodeName.toLowerCase())){if(y=e,m=t,1===T&&U.test(e)){for((c=t.getAttribute(\"id\"))?c=c.replace(re,ie):t.setAttribute(\"id\",c=b),s=(h=a(e)).length;s--;)h[s]=\"#\"+c+\" \"+xe(h[s]);y=h.join(\",\"),m=ee.test(e)&&ye(t.parentNode)||t}try{return H.apply(r,m.querySelectorAll(y)),r}catch(t){N(e,!0)}finally{c===b&&t.removeAttribute(\"id\")}}}return u(e.replace(B,\"$1\"),t,r,i)}function ue(){var e=[];return function t(n,i){return e.push(n+\" \")>r.cacheLength&&delete t[e.shift()],t[n+\" \"]=i}}function le(e){return e[b]=!0,e}function ce(e){var t=d.createElement(\"fieldset\");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){for(var n=e.split(\"|\"),i=n.length;i--;)r.attrHandle[n[i]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)for(;n=n.nextSibling;)if(n===t)return-1;return e?1:-1}function de(e){return function(t){return\"input\"===t.nodeName.toLowerCase()&&t.type===e}}function he(e){return function(t){var n=t.nodeName.toLowerCase();return(\"input\"===n||\"button\"===n)&&t.type===e}}function ge(e){return function(t){return\"form\"in t?t.parentNode&&!1===t.disabled?\"label\"in t?\"label\"in t.parentNode?t.parentNode.disabled===e:t.disabled===e:t.isDisabled===e||t.isDisabled!==!e&&ae(t)===e:t.disabled===e:\"label\"in t&&t.disabled===e}}function ve(e){return le((function(t){return t=+t,le((function(n,r){for(var i,o=e([],n.length,t),a=o.length;a--;)n[i=o[a]]&&(n[i]=!(r[i]=n[i]))}))}))}function ye(e){return e&&void 0!==e.getElementsByTagName&&e}for(t in n=se.support={},o=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||\"HTML\")},p=se.setDocument=function(e){var t,i,a=e?e.ownerDocument||e:w;return a!==d&&9===a.nodeType&&a.documentElement?(h=(d=a).documentElement,g=!o(d),w!==d&&(i=d.defaultView)&&i.top!==i&&(i.addEventListener?i.addEventListener(\"unload\",oe,!1):i.attachEvent&&i.attachEvent(\"onunload\",oe)),n.attributes=ce((function(e){return e.className=\"i\",!e.getAttribute(\"className\")})),n.getElementsByTagName=ce((function(e){return e.appendChild(d.createComment(\"\")),!e.getElementsByTagName(\"*\").length})),n.getElementsByClassName=K.test(d.getElementsByClassName),n.getById=ce((function(e){return h.appendChild(e).id=b,!d.getElementsByName||!d.getElementsByName(b).length})),n.getById?(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute(\"id\")===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n=t.getElementById(e);return n?[n]:[]}}):(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){var n=void 0!==e.getAttributeNode&&e.getAttributeNode(\"id\");return n&&n.value===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o];for(i=t.getElementsByName(e),r=0;o=i[r++];)if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o]}return[]}}),r.find.TAG=n.getElementsByTagName?function(e,t){return void 0!==t.getElementsByTagName?t.getElementsByTagName(e):n.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if(\"*\"===e){for(;n=o[i++];)1===n.nodeType&&r.push(n);return r}return o},r.find.CLASS=n.getElementsByClassName&&function(e,t){if(void 0!==t.getElementsByClassName&&g)return t.getElementsByClassName(e)},y=[],v=[],(n.qsa=K.test(d.querySelectorAll))&&(ce((function(e){h.appendChild(e).innerHTML=\"\",e.querySelectorAll(\"[msallowcapture^='']\").length&&v.push(\"[*^$]=\"+M+\"*(?:''|\\\"\\\")\"),e.querySelectorAll(\"[selected]\").length||v.push(\"\\\\[\"+M+\"*(?:value|\"+R+\")\"),e.querySelectorAll(\"[id~=\"+b+\"-]\").length||v.push(\"~=\"),e.querySelectorAll(\":checked\").length||v.push(\":checked\"),e.querySelectorAll(\"a#\"+b+\"+*\").length||v.push(\".#.+[+~]\")})),ce((function(e){e.innerHTML=\"\";var t=d.createElement(\"input\");t.setAttribute(\"type\",\"hidden\"),e.appendChild(t).setAttribute(\"name\",\"D\"),e.querySelectorAll(\"[name=d]\").length&&v.push(\"name\"+M+\"*[*^$|!~]?=\"),2!==e.querySelectorAll(\":enabled\").length&&v.push(\":enabled\",\":disabled\"),h.appendChild(e).disabled=!0,2!==e.querySelectorAll(\":disabled\").length&&v.push(\":enabled\",\":disabled\"),e.querySelectorAll(\"*,:x\"),v.push(\",.*:\")}))),(n.matchesSelector=K.test(m=h.matches||h.webkitMatchesSelector||h.mozMatchesSelector||h.oMatchesSelector||h.msMatchesSelector))&&ce((function(e){n.disconnectedMatch=m.call(e,\"*\"),m.call(e,\"[s!='']:x\"),y.push(\"!=\",$)})),v=v.length&&new RegExp(v.join(\"|\")),y=y.length&&new RegExp(y.join(\"|\")),t=K.test(h.compareDocumentPosition),x=t||K.test(h.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)for(;t=t.parentNode;)if(t===e)return!0;return!1},A=t?function(e,t){if(e===t)return f=!0,0;var r=!e.compareDocumentPosition-!t.compareDocumentPosition;return r||(1&(r=(e.ownerDocument||e)===(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!n.sortDetached&&t.compareDocumentPosition(e)===r?e===d||e.ownerDocument===w&&x(w,e)?-1:t===d||t.ownerDocument===w&&x(w,t)?1:c?P(c,e)-P(c,t):0:4&r?-1:1)}:function(e,t){if(e===t)return f=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e===d?-1:t===d?1:i?-1:o?1:c?P(c,e)-P(c,t):0;if(i===o)return pe(e,t);for(n=e;n=n.parentNode;)a.unshift(n);for(n=t;n=n.parentNode;)s.unshift(n);for(;a[r]===s[r];)r++;return r?pe(a[r],s[r]):a[r]===w?-1:s[r]===w?1:0},d):d},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if((e.ownerDocument||e)!==d&&p(e),n.matchesSelector&&g&&!N[t+\" \"]&&(!y||!y.test(t))&&(!v||!v.test(t)))try{var r=m.call(e,t);if(r||n.disconnectedMatch||e.document&&11!==e.document.nodeType)return r}catch(e){N(t,!0)}return se(t,d,null,[e]).length>0},se.contains=function(e,t){return(e.ownerDocument||e)!==d&&p(e),x(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!==d&&p(e);var i=r.attrHandle[t.toLowerCase()],o=i&&D.call(r.attrHandle,t.toLowerCase())?i(e,t,!g):void 0;return void 0!==o?o:n.attributes||!g?e.getAttribute(t):(o=e.getAttributeNode(t))&&o.specified?o.value:null},se.escape=function(e){return(e+\"\").replace(re,ie)},se.error=function(e){throw new Error(\"Syntax error, unrecognized expression: \"+e)},se.uniqueSort=function(e){var t,r=[],i=0,o=0;if(f=!n.detectDuplicates,c=!n.sortStable&&e.slice(0),e.sort(A),f){for(;t=e[o++];)t===e[o]&&(i=r.push(o));for(;i--;)e.splice(r[i],1)}return c=null,e},i=se.getText=function(e){var t,n=\"\",r=0,o=e.nodeType;if(o){if(1===o||9===o||11===o){if(\"string\"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=i(e)}else if(3===o||4===o)return e.nodeValue}else for(;t=e[r++];)n+=i(t);return n},(r=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{\">\":{dir:\"parentNode\",first:!0},\" \":{dir:\"parentNode\"},\"+\":{dir:\"previousSibling\",first:!0},\"~\":{dir:\"previousSibling\"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||\"\").replace(te,ne),\"~=\"===e[2]&&(e[3]=\" \"+e[3]+\" \"),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),\"nth\"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*(\"even\"===e[3]||\"odd\"===e[3])),e[5]=+(e[7]+e[8]||\"odd\"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||\"\":n&&X.test(n)&&(t=a(n,!0))&&(t=n.indexOf(\")\",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return\"*\"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=E[e+\" \"];return t||(t=new RegExp(\"(^|\"+M+\")\"+e+\"(\"+M+\"|$)\"))&&E(e,(function(e){return t.test(\"string\"==typeof e.className&&e.className||void 0!==e.getAttribute&&e.getAttribute(\"class\")||\"\")}))},ATTR:function(e,t,n){return function(r){var i=se.attr(r,e);return null==i?\"!=\"===t:!t||(i+=\"\",\"=\"===t?i===n:\"!=\"===t?i!==n:\"^=\"===t?n&&0===i.indexOf(n):\"*=\"===t?n&&i.indexOf(n)>-1:\"$=\"===t?n&&i.slice(-n.length)===n:\"~=\"===t?(\" \"+i.replace(F,\" \")+\" \").indexOf(n)>-1:\"|=\"===t&&(i===n||i.slice(0,n.length+1)===n+\"-\"))}},CHILD:function(e,t,n,r,i){var o=\"nth\"!==e.slice(0,3),a=\"last\"!==e.slice(-4),s=\"of-type\"===t;return 1===r&&0===i?function(e){return!!e.parentNode}:function(t,n,u){var l,c,f,p,d,h,g=o!==a?\"nextSibling\":\"previousSibling\",v=t.parentNode,y=s&&t.nodeName.toLowerCase(),m=!u&&!s,x=!1;if(v){if(o){for(;g;){for(p=t;p=p[g];)if(s?p.nodeName.toLowerCase()===y:1===p.nodeType)return!1;h=g=\"only\"===e&&!h&&\"nextSibling\"}return!0}if(h=[a?v.firstChild:v.lastChild],a&&m){for(x=(d=(l=(c=(f=(p=v)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1])&&l[2],p=d&&v.childNodes[d];p=++d&&p&&p[g]||(x=d=0)||h.pop();)if(1===p.nodeType&&++x&&p===t){c[e]=[T,d,x];break}}else if(m&&(x=d=(l=(c=(f=(p=t)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1]),!1===x)for(;(p=++d&&p&&p[g]||(x=d=0)||h.pop())&&((s?p.nodeName.toLowerCase()!==y:1!==p.nodeType)||!++x||(m&&((c=(f=p[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]=[T,x]),p!==t)););return(x-=i)===r||x%r==0&&x/r>=0}}},PSEUDO:function(e,t){var n,i=r.pseudos[e]||r.setFilters[e.toLowerCase()]||se.error(\"unsupported pseudo: \"+e);return i[b]?i(t):i.length>1?(n=[e,e,\"\",t],r.setFilters.hasOwnProperty(e.toLowerCase())?le((function(e,n){for(var r,o=i(e,t),a=o.length;a--;)e[r=P(e,o[a])]=!(n[r]=o[a])})):function(e){return i(e,0,n)}):i}},pseudos:{not:le((function(e){var t=[],n=[],r=s(e.replace(B,\"$1\"));return r[b]?le((function(e,t,n,i){for(var o,a=r(e,null,i,[]),s=e.length;s--;)(o=a[s])&&(e[s]=!(t[s]=o))})):function(e,i,o){return t[0]=e,r(t,null,o,n),t[0]=null,!n.pop()}})),has:le((function(e){return function(t){return se(e,t).length>0}})),contains:le((function(e){return e=e.replace(te,ne),function(t){return(t.textContent||i(t)).indexOf(e)>-1}})),lang:le((function(e){return V.test(e||\"\")||se.error(\"unsupported lang: \"+e),e=e.replace(te,ne).toLowerCase(),function(t){var n;do{if(n=g?t.lang:t.getAttribute(\"xml:lang\")||t.getAttribute(\"lang\"))return(n=n.toLowerCase())===e||0===n.indexOf(e+\"-\")}while((t=t.parentNode)&&1===t.nodeType);return!1}})),target:function(t){var n=e.location&&e.location.hash;return n&&n.slice(1)===t.id},root:function(e){return e===h},focus:function(e){return e===d.activeElement&&(!d.hasFocus||d.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&!!e.checked||\"option\"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!r.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&\"button\"===e.type||\"button\"===t},text:function(e){var t;return\"input\"===e.nodeName.toLowerCase()&&\"text\"===e.type&&(null==(t=e.getAttribute(\"type\"))||\"text\"===t.toLowerCase())},first:ve((function(){return[0]})),last:ve((function(e,t){return[t-1]})),eq:ve((function(e,t,n){return[n<0?n+t:n]})),even:ve((function(e,t){for(var n=0;nt?t:n;--r>=0;)e.push(r);return e})),gt:ve((function(e,t,n){for(var r=n<0?n+t:n;++r1?function(t,n,r){for(var i=e.length;i--;)if(!e[i](t,n,r))return!1;return!0}:e[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s-1&&(o[l]=!(a[l]=f))}}else y=Te(y===a?y.splice(h,y.length):y),i?i(null,a,y,u):H.apply(a,y)}))}function Ee(e){for(var t,n,i,o=e.length,a=r.relative[e[0].type],s=a||r.relative[\" \"],u=a?1:0,c=be((function(e){return e===t}),s,!0),f=be((function(e){return P(t,e)>-1}),s,!0),p=[function(e,n,r){var i=!a&&(r||n!==l)||((t=n).nodeType?c(e,n,r):f(e,n,r));return t=null,i}];u1&&we(p),u>1&&xe(e.slice(0,u-1).concat({value:\" \"===e[u-2].type?\"*\":\"\"})).replace(B,\"$1\"),n,u0,i=e.length>0,o=function(o,a,s,u,c){var f,h,v,y=0,m=\"0\",x=o&&[],b=[],w=l,C=o||i&&r.find.TAG(\"*\",c),E=T+=null==w?1:Math.random()||.1,k=C.length;for(c&&(l=a===d||a||c);m!==k&&null!=(f=C[m]);m++){if(i&&f){for(h=0,a||f.ownerDocument===d||(p(f),s=!g);v=e[h++];)if(v(f,a||d,s)){u.push(f);break}c&&(T=E)}n&&((f=!v&&f)&&y--,o&&x.push(f))}if(y+=m,n&&m!==y){for(h=0;v=t[h++];)v(x,b,a,s);if(o){if(y>0)for(;m--;)x[m]||b[m]||(b[m]=q.call(u));b=Te(b)}H.apply(u,b),c&&!o&&b.length>0&&y+t.length>1&&se.uniqueSort(u)}return c&&(T=E,l=w),x};return n?le(o):o}(o,i))).selector=e}return s},u=se.select=function(e,t,n,i){var o,u,l,c,f,p=\"function\"==typeof e&&e,d=!i&&a(e=p.selector||e);if(n=n||[],1===d.length){if((u=d[0]=d[0].slice(0)).length>2&&\"ID\"===(l=u[0]).type&&9===t.nodeType&&g&&r.relative[u[1].type]){if(!(t=(r.find.ID(l.matches[0].replace(te,ne),t)||[])[0]))return n;p&&(t=t.parentNode),e=e.slice(u.shift().value.length)}for(o=G.needsContext.test(e)?0:u.length;o--&&(l=u[o],!r.relative[c=l.type]);)if((f=r.find[c])&&(i=f(l.matches[0].replace(te,ne),ee.test(u[0].type)&&ye(t.parentNode)||t))){if(u.splice(o,1),!(e=i.length&&xe(u)))return H.apply(n,i),n;break}}return(p||s(e,d))(i,t,!g,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},n.sortStable=b.split(\"\").sort(A).join(\"\")===b,n.detectDuplicates=!!f,p(),n.sortDetached=ce((function(e){return 1&e.compareDocumentPosition(d.createElement(\"fieldset\"))})),ce((function(e){return e.innerHTML=\"\",\"#\"===e.firstChild.getAttribute(\"href\")}))||fe(\"type|href|height|width\",(function(e,t,n){if(!n)return e.getAttribute(t,\"type\"===t.toLowerCase()?1:2)})),n.attributes&&ce((function(e){return e.innerHTML=\"\",e.firstChild.setAttribute(\"value\",\"\"),\"\"===e.firstChild.getAttribute(\"value\")}))||fe(\"value\",(function(e,t,n){if(!n&&\"input\"===e.nodeName.toLowerCase())return e.defaultValue})),ce((function(e){return null==e.getAttribute(\"disabled\")}))||fe(R,(function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null})),se}(e);b.find=C,b.expr=C.selectors,b.expr[\":\"]=b.expr.pseudos,b.uniqueSort=b.unique=C.uniqueSort,b.text=C.getText,b.isXMLDoc=C.isXML,b.contains=C.contains,b.escapeSelector=C.escape;var E=function(e,t,n){for(var r=[],i=void 0!==n;(e=e[t])&&9!==e.nodeType;)if(1===e.nodeType){if(i&&b(e).is(n))break;r.push(e)}return r},k=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},S=b.expr.match.needsContext;function N(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var A=/^<([a-z][^\\/\\0>:\\x20\\t\\r\\n\\f]*)[\\x20\\t\\r\\n\\f]*\\/?>(?:<\\/\\1>|)$/i;function D(e,t,n){return g(t)?b.grep(e,(function(e,r){return!!t.call(e,r,e)!==n})):t.nodeType?b.grep(e,(function(e){return e===t!==n})):\"string\"!=typeof t?b.grep(e,(function(e){return u.call(t,e)>-1!==n})):b.filter(t,e,n)}b.filter=function(e,t,n){var r=t[0];return n&&(e=\":not(\"+e+\")\"),1===t.length&&1===r.nodeType?b.find.matchesSelector(r,e)?[r]:[]:b.find.matches(e,b.grep(t,(function(e){return 1===e.nodeType})))},b.fn.extend({find:function(e){var t,n,r=this.length,i=this;if(\"string\"!=typeof e)return this.pushStack(b(e).filter((function(){for(t=0;t1?b.uniqueSort(n):n},filter:function(e){return this.pushStack(D(this,e||[],!1))},not:function(e){return this.pushStack(D(this,e||[],!0))},is:function(e){return!!D(this,\"string\"==typeof e&&S.test(e)?b(e):e||[],!1).length}});var j,q=/^(?:\\s*(<[\\w\\W]+>)[^>]*|#([\\w-]+))$/;(b.fn.init=function(e,t,n){var i,o;if(!e)return this;if(n=n||j,\"string\"==typeof e){if(!(i=\"<\"===e[0]&&\">\"===e[e.length-1]&&e.length>=3?[null,e,null]:q.exec(e))||!i[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(i[1]){if(t=t instanceof b?t[0]:t,b.merge(this,b.parseHTML(i[1],t&&t.nodeType?t.ownerDocument||t:r,!0)),A.test(i[1])&&b.isPlainObject(t))for(i in t)g(this[i])?this[i](t[i]):this.attr(i,t[i]);return this}return(o=r.getElementById(i[2]))&&(this[0]=o,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):g(e)?void 0!==n.ready?n.ready(e):e(b):b.makeArray(e,this)}).prototype=b.fn,j=b(r);var L=/^(?:parents|prev(?:Until|All))/,H={children:!0,contents:!0,next:!0,prev:!0};function O(e,t){for(;(e=e[t])&&1!==e.nodeType;);return e}b.fn.extend({has:function(e){var t=b(e,this),n=t.length;return this.filter((function(){for(var e=0;e-1:1===n.nodeType&&b.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(o.length>1?b.uniqueSort(o):o)},index:function(e){return e?\"string\"==typeof e?u.call(b(e),this[0]):u.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(b.uniqueSort(b.merge(this.get(),b(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),b.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return E(e,\"parentNode\")},parentsUntil:function(e,t,n){return E(e,\"parentNode\",n)},next:function(e){return O(e,\"nextSibling\")},prev:function(e){return O(e,\"previousSibling\")},nextAll:function(e){return E(e,\"nextSibling\")},prevAll:function(e){return E(e,\"previousSibling\")},nextUntil:function(e,t,n){return E(e,\"nextSibling\",n)},prevUntil:function(e,t,n){return E(e,\"previousSibling\",n)},siblings:function(e){return k((e.parentNode||{}).firstChild,e)},children:function(e){return k(e.firstChild)},contents:function(e){return void 0!==e.contentDocument?e.contentDocument:(N(e,\"template\")&&(e=e.content||e),b.merge([],e.childNodes))}},(function(e,t){b.fn[e]=function(n,r){var i=b.map(this,t,n);return\"Until\"!==e.slice(-5)&&(r=n),r&&\"string\"==typeof r&&(i=b.filter(r,i)),this.length>1&&(H[e]||b.uniqueSort(i),L.test(e)&&i.reverse()),this.pushStack(i)}}));var P=/[^\\x20\\t\\r\\n\\f]+/g;function R(e){return e}function M(e){throw e}function I(e,t,n,r){var i;try{e&&g(i=e.promise)?i.call(e).done(t).fail(n):e&&g(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}b.Callbacks=function(e){e=\"string\"==typeof e?function(e){var t={};return b.each(e.match(P)||[],(function(e,n){t[n]=!0})),t}(e):b.extend({},e);var t,n,r,i,o=[],a=[],s=-1,u=function(){for(i=i||e.once,r=t=!0;a.length;s=-1)for(n=a.shift();++s-1;)o.splice(n,1),n<=s&&s--})),this},has:function(e){return e?b.inArray(e,o)>-1:o.length>0},empty:function(){return o&&(o=[]),this},disable:function(){return i=a=[],o=n=\"\",this},disabled:function(){return!o},lock:function(){return i=a=[],n||t||(o=n=\"\"),this},locked:function(){return!!i},fireWith:function(e,n){return i||(n=[e,(n=n||[]).slice?n.slice():n],a.push(n),t||u()),this},fire:function(){return l.fireWith(this,arguments),this},fired:function(){return!!r}};return l},b.extend({Deferred:function(t){var n=[[\"notify\",\"progress\",b.Callbacks(\"memory\"),b.Callbacks(\"memory\"),2],[\"resolve\",\"done\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),0,\"resolved\"],[\"reject\",\"fail\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),1,\"rejected\"]],r=\"pending\",i={state:function(){return r},always:function(){return o.done(arguments).fail(arguments),this},catch:function(e){return i.then(null,e)},pipe:function(){var e=arguments;return b.Deferred((function(t){b.each(n,(function(n,r){var i=g(e[r[4]])&&e[r[4]];o[r[1]]((function(){var e=i&&i.apply(this,arguments);e&&g(e.promise)?e.promise().progress(t.notify).done(t.resolve).fail(t.reject):t[r[0]+\"With\"](this,i?[e]:arguments)}))})),e=null})).promise()},then:function(t,r,i){var o=0;function a(t,n,r,i){return function(){var s=this,u=arguments,l=function(){var e,l;if(!(t=o&&(r!==M&&(s=void 0,u=[e]),n.rejectWith(s,u))}};t?c():(b.Deferred.getStackHook&&(c.stackTrace=b.Deferred.getStackHook()),e.setTimeout(c))}}return b.Deferred((function(e){n[0][3].add(a(0,e,g(i)?i:R,e.notifyWith)),n[1][3].add(a(0,e,g(t)?t:R)),n[2][3].add(a(0,e,g(r)?r:M))})).promise()},promise:function(e){return null!=e?b.extend(e,i):i}},o={};return b.each(n,(function(e,t){var a=t[2],s=t[5];i[t[1]]=a.add,s&&a.add((function(){r=s}),n[3-e][2].disable,n[3-e][3].disable,n[0][2].lock,n[0][3].lock),a.add(t[3].fire),o[t[0]]=function(){return o[t[0]+\"With\"](this===o?void 0:this,arguments),this},o[t[0]+\"With\"]=a.fireWith})),i.promise(o),t&&t.call(o,o),o},when:function(e){var t=arguments.length,n=t,r=Array(n),i=o.call(arguments),a=b.Deferred(),s=function(e){return function(n){r[e]=this,i[e]=arguments.length>1?o.call(arguments):n,--t||a.resolveWith(r,i)}};if(t<=1&&(I(e,a.done(s(n)).resolve,a.reject,!t),\"pending\"===a.state()||g(i[n]&&i[n].then)))return a.then();for(;n--;)I(i[n],s(n),a.reject);return a.promise()}});var W=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;b.Deferred.exceptionHook=function(t,n){e.console&&e.console.warn&&t&&W.test(t.name)&&e.console.warn(\"jQuery.Deferred exception: \"+t.message,t.stack,n)},b.readyException=function(t){e.setTimeout((function(){throw t}))};var $=b.Deferred();function F(){r.removeEventListener(\"DOMContentLoaded\",F),e.removeEventListener(\"load\",F),b.ready()}b.fn.ready=function(e){return $.then(e).catch((function(e){b.readyException(e)})),this},b.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--b.readyWait:b.isReady)||(b.isReady=!0,!0!==e&&--b.readyWait>0||$.resolveWith(r,[b]))}}),b.ready.then=$.then,\"complete\"===r.readyState||\"loading\"!==r.readyState&&!r.documentElement.doScroll?e.setTimeout(b.ready):(r.addEventListener(\"DOMContentLoaded\",F),e.addEventListener(\"load\",F));var B=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if(\"object\"===x(n))for(s in i=!0,n)B(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,g(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(b(e),n)})),t))for(;s1,null,!0)},removeData:function(e){return this.each((function(){Q.remove(this,e)}))}}),b.extend({queue:function(e,t,n){var r;if(e)return t=(t||\"fx\")+\"queue\",r=Y.get(e,t),n&&(!r||Array.isArray(n)?r=Y.access(e,t,b.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||\"fx\";var n=b.queue(e,t),r=n.length,i=n.shift(),o=b._queueHooks(e,t);\"inprogress\"===i&&(i=n.shift(),r--),i&&(\"fx\"===t&&n.unshift(\"inprogress\"),delete o.stop,i.call(e,(function(){b.dequeue(e,t)}),o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+\"queueHooks\";return Y.get(e,n)||Y.access(e,n,{empty:b.Callbacks(\"once memory\").add((function(){Y.remove(e,[t+\"queue\",n])}))})}}),b.fn.extend({queue:function(e,t){var n=2;return\"string\"!=typeof e&&(t=e,e=\"fx\",n--),arguments.length\\x20\\t\\r\\n\\f]*)/i,he=/^$|^module$|\\/(?:java|ecma)script/i,ge={option:[1,\"\"],thead:[1,\"\",\"
\"],col:[2,\"\",\"
\"],tr:[2,\"\",\"
\"],td:[3,\"\",\"
\"],_default:[0,\"\",\"\"]};function ve(e,t){var n;return n=void 0!==e.getElementsByTagName?e.getElementsByTagName(t||\"*\"):void 0!==e.querySelectorAll?e.querySelectorAll(t||\"*\"):[],void 0===t||t&&N(e,t)?b.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n-1)i&&i.push(o);else if(l=ie(o),a=ve(f.appendChild(o),\"script\"),l&&ye(a),n)for(c=0;o=a[c++];)he.test(o.type||\"\")&&n.push(o);return f}me=r.createDocumentFragment().appendChild(r.createElement(\"div\")),(xe=r.createElement(\"input\")).setAttribute(\"type\",\"radio\"),xe.setAttribute(\"checked\",\"checked\"),xe.setAttribute(\"name\",\"t\"),me.appendChild(xe),h.checkClone=me.cloneNode(!0).cloneNode(!0).lastChild.checked,me.innerHTML=\"\",h.noCloneChecked=!!me.cloneNode(!0).lastChild.defaultValue;var Te=/^key/,Ce=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Ee=/^([^.]*)(?:\\.(.+)|)/;function ke(){return!0}function Se(){return!1}function Ne(e,t){return e===function(){try{return r.activeElement}catch(e){}}()==(\"focus\"===t)}function Ae(e,t,n,r,i,o){var a,s;if(\"object\"==typeof t){for(s in\"string\"!=typeof n&&(r=r||n,n=void 0),t)Ae(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&(\"string\"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Se;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return b().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=b.guid++)),e.each((function(){b.event.add(this,t,i,r,n)}))}function De(e,t,n){n?(Y.set(e,t,!1),b.event.add(e,t,{namespace:!1,handler:function(e){var r,i,a=Y.get(this,t);if(1&e.isTrigger&&this[t]){if(a.length)(b.event.special[t]||{}).delegateType&&e.stopPropagation();else if(a=o.call(arguments),Y.set(this,t,a),r=n(this,t),this[t](),a!==(i=Y.get(this,t))||r?Y.set(this,t,!1):i={},a!==i)return e.stopImmediatePropagation(),e.preventDefault(),i.value}else a.length&&(Y.set(this,t,{value:b.event.trigger(b.extend(a[0],b.Event.prototype),a.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===Y.get(e,t)&&b.event.add(e,t,ke)}b.event={global:{},add:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.get(e);if(v)for(n.handler&&(n=(o=n).handler,i=o.selector),i&&b.find.matchesSelector(re,i),n.guid||(n.guid=b.guid++),(u=v.events)||(u=v.events={}),(a=v.handle)||(a=v.handle=function(t){return void 0!==b&&b.event.triggered!==t.type?b.event.dispatch.apply(e,arguments):void 0}),l=(t=(t||\"\").match(P)||[\"\"]).length;l--;)d=g=(s=Ee.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d&&(f=b.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=b.event.special[d]||{},c=b.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&b.expr.match.needsContext.test(i),namespace:h.join(\".\")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(e,r,h,a)||e.addEventListener&&e.addEventListener(d,a)),f.add&&(f.add.call(e,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),b.event.global[d]=!0)},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=Y.hasData(e)&&Y.get(e);if(v&&(u=v.events)){for(l=(t=(t||\"\").match(P)||[\"\"]).length;l--;)if(d=g=(s=Ee.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d){for(f=b.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp(\"(^|\\\\.)\"+h.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"),a=o=p.length;o--;)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&(\"**\"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||b.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)b.event.remove(e,d+t[l],n,r,!0);b.isEmptyObject(u)&&Y.remove(e,\"handle events\")}},dispatch:function(e){var t,n,r,i,o,a,s=b.event.fix(e),u=new Array(arguments.length),l=(Y.get(this,\"events\")||{})[s.type]||[],c=b.event.special[s.type]||{};for(u[0]=s,t=1;t=1))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&(\"click\"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n-1:b.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u\\x20\\t\\r\\n\\f]*)[^>]*)\\/>/gi,qe=/\\s*$/g;function Oe(e,t){return N(e,\"table\")&&N(11!==t.nodeType?t:t.firstChild,\"tr\")&&b(e).children(\"tbody\")[0]||e}function Pe(e){return e.type=(null!==e.getAttribute(\"type\"))+\"/\"+e.type,e}function Re(e){return\"true/\"===(e.type||\"\").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute(\"type\"),e}function Me(e,t){var n,r,i,o,a,s,u,l;if(1===t.nodeType){if(Y.hasData(e)&&(o=Y.access(e),a=Y.set(t,o),l=o.events))for(i in delete a.handle,a.events={},l)for(n=0,r=l[i].length;n1&&\"string\"==typeof v&&!h.checkClone&&Le.test(v))return e.each((function(i){var o=e.eq(i);y&&(t[0]=v.call(this,i,o.html())),We(o,t,n,r)}));if(p&&(o=(i=we(t,e[0].ownerDocument,!1,e,r)).firstChild,1===i.childNodes.length&&(i=o),o||r)){for(u=(s=b.map(ve(i,\"script\"),Pe)).length;f\")},clone:function(e,t,n){var r,i,o,a,s=e.cloneNode(!0),u=ie(e);if(!(h.noCloneChecked||1!==e.nodeType&&11!==e.nodeType||b.isXMLDoc(e)))for(a=ve(s),r=0,i=(o=ve(e)).length;r0&&ye(a,!u&&ve(e,\"script\")),s},cleanData:function(e){for(var t,n,r,i=b.event.special,o=0;void 0!==(n=e[o]);o++)if(V(n)){if(t=n[Y.expando]){if(t.events)for(r in t.events)i[r]?b.event.remove(n,r):b.removeEvent(n,r,t.handle);n[Y.expando]=void 0}n[Q.expando]&&(n[Q.expando]=void 0)}}}),b.fn.extend({detach:function(e){return $e(this,e,!0)},remove:function(e){return $e(this,e)},text:function(e){return B(this,(function(e){return void 0===e?b.text(this):this.empty().each((function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)}))}),null,e,arguments.length)},append:function(){return We(this,arguments,(function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||Oe(this,e).appendChild(e)}))},prepend:function(){return We(this,arguments,(function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=Oe(this,e);t.insertBefore(e,t.firstChild)}}))},before:function(){return We(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this)}))},after:function(){return We(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)}))},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(b.cleanData(ve(e,!1)),e.textContent=\"\");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map((function(){return b.clone(this,e,t)}))},html:function(e){return B(this,(function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if(\"string\"==typeof e&&!qe.test(e)&&!ge[(de.exec(e)||[\"\",\"\"])[1].toLowerCase()]){e=b.htmlPrefilter(e);try{for(;n=0&&(u+=Math.max(0,Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function nt(e,t,n){var r=Be(e),i=(!h.boxSizingReliable()||n)&&\"border-box\"===b.css(e,\"boxSizing\",!1,r),o=i,a=ze(e,t,r),s=\"offset\"+t[0].toUpperCase()+t.slice(1);if(Fe.test(a)){if(!n)return a;a=\"auto\"}return(!h.boxSizingReliable()&&i||\"auto\"===a||!parseFloat(a)&&\"inline\"===b.css(e,\"display\",!1,r))&&e.getClientRects().length&&(i=\"border-box\"===b.css(e,\"boxSizing\",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+tt(e,t,n||(i?\"border\":\"content\"),o,r,a)+\"px\"}function rt(e,t,n,r,i){return new rt.prototype.init(e,t,n,r,i)}b.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=ze(e,\"opacity\");return\"\"===n?\"1\":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=X(t),u=Je.test(t),l=e.style;if(u||(t=Ye(s)),a=b.cssHooks[t]||b.cssHooks[s],void 0===n)return a&&\"get\"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];\"string\"===(o=typeof n)&&(i=te.exec(n))&&i[1]&&(n=ue(e,t,i),o=\"number\"),null!=n&&n==n&&(\"number\"!==o||u||(n+=i&&i[3]||(b.cssNumber[s]?\"\":\"px\")),h.clearCloneStyle||\"\"!==n||0!==t.indexOf(\"background\")||(l[t]=\"inherit\"),a&&\"set\"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=X(t);return Je.test(t)||(t=Ye(s)),(a=b.cssHooks[t]||b.cssHooks[s])&&\"get\"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=ze(e,t,r)),\"normal\"===i&&t in Ze&&(i=Ze[t]),\"\"===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),b.each([\"height\",\"width\"],(function(e,t){b.cssHooks[t]={get:function(e,n,r){if(n)return!Qe.test(b.css(e,\"display\"))||e.getClientRects().length&&e.getBoundingClientRect().width?nt(e,t,r):se(e,Ke,(function(){return nt(e,t,r)}))},set:function(e,n,r){var i,o=Be(e),a=!h.scrollboxSize()&&\"absolute\"===o.position,s=(a||r)&&\"border-box\"===b.css(e,\"boxSizing\",!1,o),u=r?tt(e,t,r,s,o):0;return s&&a&&(u-=Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-parseFloat(o[t])-tt(e,t,\"border\",!1,o)-.5)),u&&(i=te.exec(n))&&\"px\"!==(i[3]||\"px\")&&(e.style[t]=n,n=b.css(e,t)),et(0,n,u)}}})),b.cssHooks.marginLeft=Ue(h.reliableMarginLeft,(function(e,t){if(t)return(parseFloat(ze(e,\"marginLeft\"))||e.getBoundingClientRect().left-se(e,{marginLeft:0},(function(){return e.getBoundingClientRect().left})))+\"px\"})),b.each({margin:\"\",padding:\"\",border:\"Width\"},(function(e,t){b.cssHooks[e+t]={expand:function(n){for(var r=0,i={},o=\"string\"==typeof n?n.split(\" \"):[n];r<4;r++)i[e+ne[r]+t]=o[r]||o[r-2]||o[0];return i}},\"margin\"!==e&&(b.cssHooks[e+t].set=et)})),b.fn.extend({css:function(e,t){return B(this,(function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=Be(e),i=t.length;a1)}}),b.Tween=rt,rt.prototype={constructor:rt,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||b.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(b.cssNumber[n]?\"\":\"px\")},cur:function(){var e=rt.propHooks[this.prop];return e&&e.get?e.get(this):rt.propHooks._default.get(this)},run:function(e){var t,n=rt.propHooks[this.prop];return this.options.duration?this.pos=t=b.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):rt.propHooks._default.set(this),this}},rt.prototype.init.prototype=rt.prototype,rt.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=b.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){b.fx.step[e.prop]?b.fx.step[e.prop](e):1!==e.elem.nodeType||!b.cssHooks[e.prop]&&null==e.elem.style[Ye(e.prop)]?e.elem[e.prop]=e.now:b.style(e.elem,e.prop,e.now+e.unit)}}},rt.propHooks.scrollTop=rt.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},b.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},b.fx=rt.prototype.init,b.fx.step={};var it,ot,at=/^(?:toggle|show|hide)$/,st=/queueHooks$/;function ut(){ot&&(!1===r.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(ut):e.setTimeout(ut,b.fx.interval),b.fx.tick())}function lt(){return e.setTimeout((function(){it=void 0})),it=Date.now()}function ct(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i[\"margin\"+(n=ne[r])]=i[\"padding\"+n]=e;return t&&(i.opacity=i.width=e),i}function ft(e,t,n){for(var r,i=(pt.tweeners[t]||[]).concat(pt.tweeners[\"*\"]),o=0,a=i.length;o1)},removeAttr:function(e){return this.each((function(){b.removeAttr(this,e)}))}}),b.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return void 0===e.getAttribute?b.prop(e,t,n):(1===o&&b.isXMLDoc(e)||(i=b.attrHooks[t.toLowerCase()]||(b.expr.match.bool.test(t)?dt:void 0)),void 0!==n?null===n?void b.removeAttr(e,t):i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+\"\"),n):i&&\"get\"in i&&null!==(r=i.get(e,t))?r:null==(r=b.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!h.radioValue&&\"radio\"===t&&N(e,\"input\")){var n=e.value;return e.setAttribute(\"type\",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(P);if(i&&1===e.nodeType)for(;n=i[r++];)e.removeAttribute(n)}}),dt={set:function(e,t,n){return!1===t?b.removeAttr(e,n):e.setAttribute(n,n),n}},b.each(b.expr.match.bool.source.match(/\\w+/g),(function(e,t){var n=ht[t]||b.find.attr;ht[t]=function(e,t,r){var i,o,a=t.toLowerCase();return r||(o=ht[a],ht[a]=i,i=null!=n(e,t,r)?a:null,ht[a]=o),i}}));var gt=/^(?:input|select|textarea|button)$/i,vt=/^(?:a|area)$/i;function yt(e){return(e.match(P)||[]).join(\" \")}function mt(e){return e.getAttribute&&e.getAttribute(\"class\")||\"\"}function xt(e){return Array.isArray(e)?e:\"string\"==typeof e&&e.match(P)||[]}b.fn.extend({prop:function(e,t){return B(this,b.prop,e,t,arguments.length>1)},removeProp:function(e){return this.each((function(){delete this[b.propFix[e]||e]}))}}),b.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&b.isXMLDoc(e)||(t=b.propFix[t]||t,i=b.propHooks[t]),void 0!==n?i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&\"get\"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=b.find.attr(e,\"tabindex\");return t?parseInt(t,10):gt.test(e.nodeName)||vt.test(e.nodeName)&&e.href?0:-1}}},propFix:{for:\"htmlFor\",class:\"className\"}}),h.optSelected||(b.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),b.each([\"tabIndex\",\"readOnly\",\"maxLength\",\"cellSpacing\",\"cellPadding\",\"rowSpan\",\"colSpan\",\"useMap\",\"frameBorder\",\"contentEditable\"],(function(){b.propFix[this.toLowerCase()]=this})),b.fn.extend({addClass:function(e){var t,n,r,i,o,a,s,u=0;if(g(e))return this.each((function(t){b(this).addClass(e.call(this,t,mt(this)))}));if((t=xt(e)).length)for(;n=this[u++];)if(i=mt(n),r=1===n.nodeType&&\" \"+yt(i)+\" \"){for(a=0;o=t[a++];)r.indexOf(\" \"+o+\" \")<0&&(r+=o+\" \");i!==(s=yt(r))&&n.setAttribute(\"class\",s)}return this},removeClass:function(e){var t,n,r,i,o,a,s,u=0;if(g(e))return this.each((function(t){b(this).removeClass(e.call(this,t,mt(this)))}));if(!arguments.length)return this.attr(\"class\",\"\");if((t=xt(e)).length)for(;n=this[u++];)if(i=mt(n),r=1===n.nodeType&&\" \"+yt(i)+\" \"){for(a=0;o=t[a++];)for(;r.indexOf(\" \"+o+\" \")>-1;)r=r.replace(\" \"+o+\" \",\" \");i!==(s=yt(r))&&n.setAttribute(\"class\",s)}return this},toggleClass:function(e,t){var n=typeof e,r=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&r?t?this.addClass(e):this.removeClass(e):g(e)?this.each((function(n){b(this).toggleClass(e.call(this,n,mt(this),t),t)})):this.each((function(){var t,i,o,a;if(r)for(i=0,o=b(this),a=xt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=mt(this))&&Y.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":Y.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+yt(mt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var bt=/\\r/g;b.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=g(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,b(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=b.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=b.valHooks[this.type]||b.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=b.valHooks[i.type]||b.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 0!==(n=t.get(i,\"value\"))?n:\"string\"==typeof(n=i.value)?n.replace(bt,\"\"):null==n?\"\":n:void 0}}),b.extend({valHooks:{option:{get:function(e){var t=b.find.attr(e,\"value\");return null!=t?t:yt(b.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a=\"select-one\"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r-1)&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),b.each([\"radio\",\"checkbox\"],(function(){b.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=b.inArray(b(e).val(),t)>-1}},h.checkOn||(b.valHooks[this].get=function(e){return null===e.getAttribute(\"value\")?\"on\":e.value})})),h.focusin=\"onfocusin\"in e;var wt=/^(?:focusinfocus|focusoutblur)$/,Tt=function(e){e.stopPropagation()};b.extend(b.event,{trigger:function(t,n,i,o){var a,s,u,l,c,p,d,h,y=[i||r],m=f.call(t,\"type\")?t.type:t,x=f.call(t,\"namespace\")?t.namespace.split(\".\"):[];if(s=h=u=i=i||r,3!==i.nodeType&&8!==i.nodeType&&!wt.test(m+b.event.triggered)&&(m.indexOf(\".\")>-1&&(x=m.split(\".\"),m=x.shift(),x.sort()),c=m.indexOf(\":\")<0&&\"on\"+m,(t=t[b.expando]?t:new b.Event(m,\"object\"==typeof t&&t)).isTrigger=o?2:3,t.namespace=x.join(\".\"),t.rnamespace=t.namespace?new RegExp(\"(^|\\\\.)\"+x.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"):null,t.result=void 0,t.target||(t.target=i),n=null==n?[t]:b.makeArray(n,[t]),d=b.event.special[m]||{},o||!d.trigger||!1!==d.trigger.apply(i,n))){if(!o&&!d.noBubble&&!v(i)){for(l=d.delegateType||m,wt.test(l+m)||(s=s.parentNode);s;s=s.parentNode)y.push(s),u=s;u===(i.ownerDocument||r)&&y.push(u.defaultView||u.parentWindow||e)}for(a=0;(s=y[a++])&&!t.isPropagationStopped();)h=s,t.type=a>1?l:d.bindType||m,(p=(Y.get(s,\"events\")||{})[t.type]&&Y.get(s,\"handle\"))&&p.apply(s,n),(p=c&&s[c])&&p.apply&&V(s)&&(t.result=p.apply(s,n),!1===t.result&&t.preventDefault());return t.type=m,o||t.isDefaultPrevented()||d._default&&!1!==d._default.apply(y.pop(),n)||!V(i)||c&&g(i[m])&&!v(i)&&((u=i[c])&&(i[c]=null),b.event.triggered=m,t.isPropagationStopped()&&h.addEventListener(m,Tt),i[m](),t.isPropagationStopped()&&h.removeEventListener(m,Tt),b.event.triggered=void 0,u&&(i[c]=u)),t.result}},simulate:function(e,t,n){var r=b.extend(new b.Event,n,{type:e,isSimulated:!0});b.event.trigger(r,null,t)}}),b.fn.extend({trigger:function(e,t){return this.each((function(){b.event.trigger(e,t,this)}))},triggerHandler:function(e,t){var n=this[0];if(n)return b.event.trigger(e,t,n,!0)}}),h.focusin||b.each({focus:\"focusin\",blur:\"focusout\"},(function(e,t){var n=function(e){b.event.simulate(t,e.target,b.event.fix(e))};b.event.special[t]={setup:function(){var r=this.ownerDocument||this,i=Y.access(r,t);i||r.addEventListener(e,n,!0),Y.access(r,t,(i||0)+1)},teardown:function(){var r=this.ownerDocument||this,i=Y.access(r,t)-1;i?Y.access(r,t,i):(r.removeEventListener(e,n,!0),Y.remove(r,t))}}}));var Ct=e.location,Et=Date.now(),kt=/\\?/;b.parseXML=function(t){var n;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){n=void 0}return n&&!n.getElementsByTagName(\"parsererror\").length||b.error(\"Invalid XML: \"+t),n};var St=/\\[\\]$/,Nt=/\\r?\\n/g,At=/^(?:submit|button|image|reset|file)$/i,Dt=/^(?:input|select|textarea|keygen)/i;function jt(e,t,n,r){var i;if(Array.isArray(t))b.each(t,(function(t,i){n||St.test(e)?r(e,i):jt(e+\"[\"+(\"object\"==typeof i&&null!=i?t:\"\")+\"]\",i,n,r)}));else if(n||\"object\"!==x(t))r(e,t);else for(i in t)jt(e+\"[\"+i+\"]\",t[i],n,r)}b.param=function(e,t){var n,r=[],i=function(e,t){var n=g(t)?t():t;r[r.length]=encodeURIComponent(e)+\"=\"+encodeURIComponent(null==n?\"\":n)};if(null==e)return\"\";if(Array.isArray(e)||e.jquery&&!b.isPlainObject(e))b.each(e,(function(){i(this.name,this.value)}));else for(n in e)jt(n,e[n],t,i);return r.join(\"&\")},b.fn.extend({serialize:function(){return b.param(this.serializeArray())},serializeArray:function(){return this.map((function(){var e=b.prop(this,\"elements\");return e?b.makeArray(e):this})).filter((function(){var e=this.type;return this.name&&!b(this).is(\":disabled\")&&Dt.test(this.nodeName)&&!At.test(e)&&(this.checked||!pe.test(e))})).map((function(e,t){var n=b(this).val();return null==n?null:Array.isArray(n)?b.map(n,(function(e){return{name:t.name,value:e.replace(Nt,\"\\r\\n\")}})):{name:t.name,value:n.replace(Nt,\"\\r\\n\")}})).get()}});var qt=/%20/g,Lt=/#.*$/,Ht=/([?&])_=[^&]*/,Ot=/^(.*?):[ \\t]*([^\\r\\n]*)$/gm,Pt=/^(?:GET|HEAD)$/,Rt=/^\\/\\//,Mt={},It={},Wt=\"*/\".concat(\"*\"),$t=r.createElement(\"a\");function Ft(e){return function(t,n){\"string\"!=typeof t&&(n=t,t=\"*\");var r,i=0,o=t.toLowerCase().match(P)||[];if(g(n))for(;r=o[i++];)\"+\"===r[0]?(r=r.slice(1)||\"*\",(e[r]=e[r]||[]).unshift(n)):(e[r]=e[r]||[]).push(n)}}function Bt(e,t,n,r){var i={},o=e===It;function a(s){var u;return i[s]=!0,b.each(e[s]||[],(function(e,s){var l=s(t,n,r);return\"string\"!=typeof l||o||i[l]?o?!(u=l):void 0:(t.dataTypes.unshift(l),a(l),!1)})),u}return a(t.dataTypes[0])||!i[\"*\"]&&a(\"*\")}function _t(e,t){var n,r,i=b.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&b.extend(!0,e,r),e}$t.href=Ct.href,b.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:Ct.href,type:\"GET\",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(Ct.protocol),global:!0,processData:!0,async:!0,contentType:\"application/x-www-form-urlencoded; charset=UTF-8\",accepts:{\"*\":Wt,text:\"text/plain\",html:\"text/html\",xml:\"application/xml, text/xml\",json:\"application/json, text/javascript\"},contents:{xml:/\\bxml\\b/,html:/\\bhtml/,json:/\\bjson\\b/},responseFields:{xml:\"responseXML\",text:\"responseText\",json:\"responseJSON\"},converters:{\"* text\":String,\"text html\":!0,\"text json\":JSON.parse,\"text xml\":b.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?_t(_t(e,b.ajaxSettings),t):_t(b.ajaxSettings,e)},ajaxPrefilter:Ft(Mt),ajaxTransport:Ft(It),ajax:function(t,n){\"object\"==typeof t&&(n=t,t=void 0),n=n||{};var i,o,a,s,u,l,c,f,p,d,h=b.ajaxSetup({},n),g=h.context||h,v=h.context&&(g.nodeType||g.jquery)?b(g):b.event,y=b.Deferred(),m=b.Callbacks(\"once memory\"),x=h.statusCode||{},w={},T={},C=\"canceled\",E={readyState:0,getResponseHeader:function(e){var t;if(c){if(!s)for(s={};t=Ot.exec(a);)s[t[1].toLowerCase()+\" \"]=(s[t[1].toLowerCase()+\" \"]||[]).concat(t[2]);t=s[e.toLowerCase()+\" \"]}return null==t?null:t.join(\", \")},getAllResponseHeaders:function(){return c?a:null},setRequestHeader:function(e,t){return null==c&&(e=T[e.toLowerCase()]=T[e.toLowerCase()]||e,w[e]=t),this},overrideMimeType:function(e){return null==c&&(h.mimeType=e),this},statusCode:function(e){var t;if(e)if(c)E.always(e[E.status]);else for(t in e)x[t]=[x[t],e[t]];return this},abort:function(e){var t=e||C;return i&&i.abort(t),k(0,t),this}};if(y.promise(E),h.url=((t||h.url||Ct.href)+\"\").replace(Rt,Ct.protocol+\"//\"),h.type=n.method||n.type||h.method||h.type,h.dataTypes=(h.dataType||\"*\").toLowerCase().match(P)||[\"\"],null==h.crossDomain){l=r.createElement(\"a\");try{l.href=h.url,l.href=l.href,h.crossDomain=$t.protocol+\"//\"+$t.host!=l.protocol+\"//\"+l.host}catch(e){h.crossDomain=!0}}if(h.data&&h.processData&&\"string\"!=typeof h.data&&(h.data=b.param(h.data,h.traditional)),Bt(Mt,h,n,E),c)return E;for(p in(f=b.event&&h.global)&&0==b.active++&&b.event.trigger(\"ajaxStart\"),h.type=h.type.toUpperCase(),h.hasContent=!Pt.test(h.type),o=h.url.replace(Lt,\"\"),h.hasContent?h.data&&h.processData&&0===(h.contentType||\"\").indexOf(\"application/x-www-form-urlencoded\")&&(h.data=h.data.replace(qt,\"+\")):(d=h.url.slice(o.length),h.data&&(h.processData||\"string\"==typeof h.data)&&(o+=(kt.test(o)?\"&\":\"?\")+h.data,delete h.data),!1===h.cache&&(o=o.replace(Ht,\"$1\"),d=(kt.test(o)?\"&\":\"?\")+\"_=\"+Et+++d),h.url=o+d),h.ifModified&&(b.lastModified[o]&&E.setRequestHeader(\"If-Modified-Since\",b.lastModified[o]),b.etag[o]&&E.setRequestHeader(\"If-None-Match\",b.etag[o])),(h.data&&h.hasContent&&!1!==h.contentType||n.contentType)&&E.setRequestHeader(\"Content-Type\",h.contentType),E.setRequestHeader(\"Accept\",h.dataTypes[0]&&h.accepts[h.dataTypes[0]]?h.accepts[h.dataTypes[0]]+(\"*\"!==h.dataTypes[0]?\", \"+Wt+\"; q=0.01\":\"\"):h.accepts[\"*\"]),h.headers)E.setRequestHeader(p,h.headers[p]);if(h.beforeSend&&(!1===h.beforeSend.call(g,E,h)||c))return E.abort();if(C=\"abort\",m.add(h.complete),E.done(h.success),E.fail(h.error),i=Bt(It,h,n,E)){if(E.readyState=1,f&&v.trigger(\"ajaxSend\",[E,h]),c)return E;h.async&&h.timeout>0&&(u=e.setTimeout((function(){E.abort(\"timeout\")}),h.timeout));try{c=!1,i.send(w,k)}catch(e){if(c)throw e;k(-1,e)}}else k(-1,\"No Transport\");function k(t,n,r,s){var l,p,d,w,T,C=n;c||(c=!0,u&&e.clearTimeout(u),i=void 0,a=s||\"\",E.readyState=t>0?4:0,l=t>=200&&t<300||304===t,r&&(w=function(e,t,n){for(var r,i,o,a,s=e.contents,u=e.dataTypes;\"*\"===u[0];)u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader(\"Content-Type\"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+\" \"+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(h,E,r)),w=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];for(o=c.shift();o;)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if(\"*\"===o)o=u;else if(\"*\"!==u&&u!==o){if(!(a=l[u+\" \"+o]||l[\"* \"+o]))for(i in l)if((s=i.split(\" \"))[1]===o&&(a=l[u+\" \"+s[0]]||l[\"* \"+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e.throws)t=a(t);else try{t=a(t)}catch(e){return{state:\"parsererror\",error:a?e:\"No conversion from \"+u+\" to \"+o}}}return{state:\"success\",data:t}}(h,w,E,l),l?(h.ifModified&&((T=E.getResponseHeader(\"Last-Modified\"))&&(b.lastModified[o]=T),(T=E.getResponseHeader(\"etag\"))&&(b.etag[o]=T)),204===t||\"HEAD\"===h.type?C=\"nocontent\":304===t?C=\"notmodified\":(C=w.state,p=w.data,l=!(d=w.error))):(d=C,!t&&C||(C=\"error\",t<0&&(t=0))),E.status=t,E.statusText=(n||C)+\"\",l?y.resolveWith(g,[p,C,E]):y.rejectWith(g,[E,C,d]),E.statusCode(x),x=void 0,f&&v.trigger(l?\"ajaxSuccess\":\"ajaxError\",[E,h,l?p:d]),m.fireWith(g,[E,C]),f&&(v.trigger(\"ajaxComplete\",[E,h]),--b.active||b.event.trigger(\"ajaxStop\")))}return E},getJSON:function(e,t,n){return b.get(e,t,n,\"json\")},getScript:function(e,t){return b.get(e,void 0,t,\"script\")}}),b.each([\"get\",\"post\"],(function(e,t){b[t]=function(e,n,r,i){return g(n)&&(i=i||r,r=n,n=void 0),b.ajax(b.extend({url:e,type:t,dataType:i,data:n,success:r},b.isPlainObject(e)&&e))}})),b._evalUrl=function(e,t){return b.ajax({url:e,type:\"GET\",dataType:\"script\",cache:!0,async:!1,global:!1,converters:{\"text script\":function(){}},dataFilter:function(e){b.globalEval(e,t)}})},b.fn.extend({wrapAll:function(e){var t;return this[0]&&(g(e)&&(e=e.call(this[0])),t=b(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map((function(){for(var e=this;e.firstElementChild;)e=e.firstElementChild;return e})).append(this)),this},wrapInner:function(e){return g(e)?this.each((function(t){b(this).wrapInner(e.call(this,t))})):this.each((function(){var t=b(this),n=t.contents();n.length?n.wrapAll(e):t.append(e)}))},wrap:function(e){var t=g(e);return this.each((function(n){b(this).wrapAll(t?e.call(this,n):e)}))},unwrap:function(e){return this.parent(e).not(\"body\").each((function(){b(this).replaceWith(this.childNodes)})),this}}),b.expr.pseudos.hidden=function(e){return!b.expr.pseudos.visible(e)},b.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},b.ajaxSettings.xhr=function(){try{return new e.XMLHttpRequest}catch(e){}};var zt={0:200,1223:204},Ut=b.ajaxSettings.xhr();h.cors=!!Ut&&\"withCredentials\"in Ut,h.ajax=Ut=!!Ut,b.ajaxTransport((function(t){var n,r;if(h.cors||Ut&&!t.crossDomain)return{send:function(i,o){var a,s=t.xhr();if(s.open(t.type,t.url,t.async,t.username,t.password),t.xhrFields)for(a in t.xhrFields)s[a]=t.xhrFields[a];for(a in t.mimeType&&s.overrideMimeType&&s.overrideMimeType(t.mimeType),t.crossDomain||i[\"X-Requested-With\"]||(i[\"X-Requested-With\"]=\"XMLHttpRequest\"),i)s.setRequestHeader(a,i[a]);n=function(e){return function(){n&&(n=r=s.onload=s.onerror=s.onabort=s.ontimeout=s.onreadystatechange=null,\"abort\"===e?s.abort():\"error\"===e?\"number\"!=typeof s.status?o(0,\"error\"):o(s.status,s.statusText):o(zt[s.status]||s.status,s.statusText,\"text\"!==(s.responseType||\"text\")||\"string\"!=typeof s.responseText?{binary:s.response}:{text:s.responseText},s.getAllResponseHeaders()))}},s.onload=n(),r=s.onerror=s.ontimeout=n(\"error\"),void 0!==s.onabort?s.onabort=r:s.onreadystatechange=function(){4===s.readyState&&e.setTimeout((function(){n&&r()}))},n=n(\"abort\");try{s.send(t.hasContent&&t.data||null)}catch(e){if(n)throw e}},abort:function(){n&&n()}}})),b.ajaxPrefilter((function(e){e.crossDomain&&(e.contents.script=!1)})),b.ajaxSetup({accepts:{script:\"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript\"},contents:{script:/\\b(?:java|ecma)script\\b/},converters:{\"text script\":function(e){return b.globalEval(e),e}}}),b.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),b.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(i,o){t=b(\"\n" - ], - "text/plain": [ - "Figure(id='1001', ...)" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "prof.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To view multiple profilers at the same time, the `dask.diagnostics.visualize` function can be used. This takes a list of profilers and creates a vertical stack of plots aligned along the x-axis:" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "(function(root) {\n", - " function embed_document(root) {\n", - " \n", - " var docs_json = {\"cd5defcf-9664-495f-a0a0-6c9a95fdb4f4\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"1335\"},{\"id\":\"1333\"}]},\"id\":\"1336\",\"type\":\"Column\"},{\"attributes\":{\"axis\":{\"id\":\"1110\"},\"dimension\":1,\"grid_line_color\":null,\"ticker\":null},\"id\":\"1112\",\"type\":\"Grid\"},{\"attributes\":{\"line_color\":\"#9DD93A\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1266\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1264\"},\"glyph\":{\"id\":\"1266\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1267\"},\"selection_glyph\":null,\"view\":{\"id\":\"1269\"}},\"id\":\"1268\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data\":{\"x\":[0.0,0.2841829941608012,0.5345922261476517,0.7852303520776331,1.0359203950501978,1.2865951471030712,1.5372036951594055,1.787890573963523,2.0386712371837348,2.289433825062588,2.540158237097785,2.7910476829856634,3.041902287164703,3.2926706119906157,3.5435734800994396,3.794383800122887,4.0451680701226,4.295957115013152,4.546781066106632,4.797634250018746,5.0483073780778795,5.298944232985377,5.549488945165649,5.800093739992008,6.0506841680034995,6.30135887907818,6.552013413049281,6.802501316182315,7.052976301172748,7.3036424200981855,7.554275345057249,7.804811560083181,8.05537137016654,8.305902841035277,8.556574115995318,8.80710317613557,9.0575889761094,9.308137657120824,9.558705314993858,9.809268483193591,10.059907193062827,10.310406032018363,10.561093843076378,10.811664514010772,11.06223711417988,11.312850093003362,11.563549258047715,11.814236538019031,12.065025976160541,12.315826124045998,12.566511588171124,12.817206541076303,13.067800366086885,13.318400481017306,13.569040248170495,13.819498284021392,14.070160903967917,14.320979718118906,14.571794766001403,14.822637559147552,15.073371288133785,15.324229879071936,15.57501607015729,15.825772267067805,16.07655390514992,16.327453379053622,16.57826889306307,16.828971873037517,17.079823922133073,17.330618189182132,17.58153303200379,17.832358291139826,18.08318845415488,18.33404083410278,18.584831934189424,18.8357447150629,19.08655041316524,19.337298659142107,19.588134674122557,19.83902064198628,20.089867535047233,20.34067693911493,20.591552515048534,20.842457342194393,21.09318509604782,21.34394656913355,21.5946572041139,21.845545819029212,22.096379430033267,22.34724400797859,22.598008485976607,22.84870973904617,23.099561223061755,23.350404469063506,23.601240975083783,23.85204245406203,24.102790848119184,24.35345405410044,24.604336742078885,24.85504975100048,25.105783696984872,25.356554102152586,25.607214498100802,25.857910711085424,26.108687905129045,26.359439332969487,26.610251271165907,26.860795192187652,27.11149505712092,27.3622328650672,27.612980674020946,27.863728970987722,28.11430953303352,28.365082202013582,28.61583289015107,28.866575235966593,29.117174050072208,29.36788778519258,29.61862246110104,29.869345961138606,30.12007038714364,30.370615571038797,30.62126867310144,30.872039155103266,31.12283530505374,31.37359672319144,31.62423871597275,31.874950640136376,32.12561714509502,32.376385568175465,32.627165439072996,32.877835924969986,33.128361898008734,33.379024325171486,33.62971094297245,33.88030829816125,34.130916013149545,34.381708443164825,34.632463216083124,34.883301015011966,35.13395616109483,35.3846337411087,35.635450683068484,35.886317163007334,36.13702431204729,36.38784309918992,36.6387502939906,36.889545139158145,37.140248782001436,37.39105634903535,37.641882348107174,37.89253403106704,38.14338014903478,38.39406394213438,38.644820432178676,38.89548393012956,39.14607920800336,39.39684990909882,39.647644461132586,39.89815772115253,40.14885093201883,40.39959784504026,40.650314894970506,40.90116612799466,41.151942818192765,41.40251626004465,41.653120323084295,41.90372182102874,42.154384684050456,42.40497867204249,42.655608023982495,42.90609744703397,43.15665313205682,43.40715959807858,43.65774127608165,43.9082600150723,44.15891232015565,44.409555735997856,44.66014487110078,44.91062493715435,45.161252479068935,45.41188496211544,45.66249088617042,45.91314693610184,46.16366155305877,46.41432343097404,46.66491370019503,46.91554794111289,47.1661792260129,47.41686631506309,47.66733128204942,47.9177753131371,48.16836494603194,48.419108774047345,48.66985624213703,48.920573806157336,49.171431886032224,49.42223608517088,49.67314215400256,49.924051000969484,50.17489402112551,50.42567930207588,50.67653203802183,50.92737945402041,51.1782483831048,51.42912440910004,51.67986952513456,51.9306824230589,52.18145967810415,52.432308783056214,52.68318233708851,52.93399183219299,53.18478834815323,53.43564591417089,53.68648277805187,53.937386617064476,54.18823933205567,54.439113149186596,54.68999350210652,54.940854577114806,55.191648207139224,55.442466758191586,55.69319798098877,55.94397999509238,56.194752319017425,56.44543285807595,56.69621368101798,56.94711598008871,57.197951453970745,57.448683575028554,57.69920933316462,57.95007520308718,58.20096169714816,58.45176668302156,58.70254117413424,58.95335244014859,59.20404241303913,59.45490037603304,59.70582193112932,59.95667609805241,60.20757199800573,60.458410253049806,60.709088227013126,60.959951556054875,61.210740636102855,61.46162127610296,61.712470727972686,61.96320188813843,62.214037141995504,62.46475315815769,62.71543595613912,62.96618621912785,63.21701357210986,63.46789454203099,63.71865487098694,63.969532194081694,64.22031939215958,64.47097710310481,64.7216312889941,64.97224758099765,65.22269665612839,65.4731446299702,65.72377267107368,65.97436729306355,66.2249707551673,66.47565577900968,66.72631475515664,66.97697526402771,67.22757628909312,67.47815280896612,67.72882258612663,67.9794789890293,68.23009143513627,68.48071272205561,68.73128448007628,68.98190131504089,69.23256117501296,69.48315784311853,69.73382277716883,69.98427412216552,70.23495728801936,70.48560034809634,70.73626821115613,70.98688245611265,71.23753234604374,71.48815168510191,71.73858512798324,71.98923748615198,72.2398075920064,72.49035747908056,72.74106507515535,72.99176724813879,73.24235274107195,73.49303240911104,73.74364433414303,73.99429486319423,74.24483429803513,74.49538369802758,74.74608334200457,74.99653832498007,75.24718752899207,75.4978391721379,75.74840013310313,75.99906131415628,76.24964132509194,76.50035321107134,76.75077969906852,77.00138853816316],\"y\":[1462.734848,1605.55008,1652.89984,1699.414016,1748.35712,1795.432448,1842.192384,1888.739328,1935.29856,1981.8496,2028.60544,2074.980352,2121.805824,2168.569856,2216.968192,2263.36768,2310.012928,2356.543488,2403.078144,2449.67424,2496.1024,2542.32576,2588.798976,2634.960896,2681.42592,2727.845888,2774.274048,2820.657152,2864.713728,2910.973952,2957.819904,3004.448768,3049.51296,3095.67488,3142.631424,3188.985856,3235.852288,3282.505728,3327.184896,3373.334528,3419.557888,3466.407936,3512.676352,3559.60832,3605.823488,4060.614656,4269.30176,4640.243712,5380.95616,6126.321664,4228.882432,4499.902464,4397.899776,5113.438208,5893.976064,6672.71168,2206.498816,2253.04576,2299.580416,2346.094592,2392.41216,2438.754304,2485.57568,2532.196352,2578.468864,2625.150976,2671.566848,2718.367744,2764.910592,2811.580416,2857.754624,2904.137728,2950.770688,2997.702656,3040.58368,3086.798848,3133.902848,3180.703744,3225.366528,3273.818112,3319.877632,3364.39296,3410.857984,3457.298432,3503.747072,3549.96224,3596.22656,3642.851328,3689.619456,3736.133632,4128.68608,4387.274752,4667.387904,5410.144256,6155.321344,4270.501888,4616.925184,4432.687104,5110.390784,5884.403712,6658.895872,6867.509248,2367.688704,2414.518272,2460.778496,2507.63264,2554.175488,2600.558592,2646.8352,2693.906432,2740.166656,2786.742272,2833.334272,2879.471616,2926.44864,2971.901952,3018.350592,3065.315328,3110.907904,3156.586496,3201.728512,3247.587328,3294.629888,3340.976128,3387.768832,3434.135552,3480.461312,3526.733824,3572.871168,3619.1232,3665.461248,3712.24576,3758.542848,3804.680192,3850.940416,4380.844032,4522.610688,4946.874368,5688.38144,6429.421568,4511.162368,4752.392192,4675.465216,5401.153536,6177.353728,6951.780352,2458.54208,2505.09312,2553.327616,2599.776256,2646.626304,2692.939776,2739.453952,2786.238464,2832.723968,2879.5904,2925.748224,2971.959296,3018.153984,3064.774656,3111.141376,3157.66784,3204.030464,3250.786304,3297.165312,3344.052224,3390.205952,3436.716032,3483.01312,3529.531392,3576.233984,3622.526976,3668.692992,3715.56352,3761.782784,3807.9488,3854.286848,3900.64128,3946.872832,4052.054016,4542.050304,4589.13792,5258.899456,6001.901568,6745.276416,4765.671424,4367.986688,4970.45504,5786.66496,6601.039872,7022.866432,2525.200384,2571.444224,2849.849344,2776.502272,3104.538624,2237.005824,2283.802624,2330.427392,2377.199616,2425.585664,2472.378368,2519.20384,2565.791744,2612.072448,2659.1232,2705.260544,2752.110592,2798.424064,2844.975104,2893.443072,2940.039168,2986.835968,3033.038848,3079.360512,3125.538816,3171.848192,3218.149376,3264.528384,3310.85824,3357.159424,3403.726848,3450.269696,3496.521728,3542.970368,3589.246976,3636.047872,3682.664448,3729.08032,3775.217664,3821.355008,3867.598848,3914.293248,3960.475648,4006.633472,4053.229568,4099.7888,4173.709312,4710.019072,4757.889024,5383.86432,6126.473216,6869.520384,4900.634624,4502.7328,5082.308608,5890.207744,6698.029056,7193.214976,2693.24288,2739.961856,2955.927552,3552.280576,3088.019456,3768.168448,2451.349504,2498.17088,2544.734208,2591.551488,2638.114816,2684.993536,2733.907968,2780.155904,2824.196096,2871.205888,2917.60128,2963.828736,3010.195456,3057.512448,3103.817728,3150.348288,3197.161472,3243.692032,3287.916544,3334.344704,3381.018624,3427.008512,3472.95744,3520.331776,3566.83776,3613.073408,3655.950336,3704.373248,3750.76864,3796.93056,3843.190784,3889.496064,3935.952896,3982.139392,4029.251584,4073.414656,4119.662592,4165.865472,4212.035584,4258.213888,4304.556032,4589.187072,4817.77664,5010.28864,5702.3488,6396.506112,4478.062592,4817.805312,4551.614464,5189.226496,5956.784128,6720.147456,2293.485568]},\"selected\":{\"id\":\"1308\"},\"selection_policy\":{\"id\":\"1309\"}},\"id\":\"1178\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1288\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"fill_color\":{\"field\":\"color\"},\"height\":{\"units\":\"data\",\"value\":1},\"line_color\":{\"value\":\"gray\"},\"width\":{\"field\":\"width\",\"units\":\"data\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1126\",\"type\":\"Rect\"},{\"attributes\":{\"toolbars\":[{\"id\":\"1118\"},{\"id\":\"1160\"},{\"id\":\"1216\"}],\"tools\":[{\"id\":\"1113\"},{\"id\":\"1114\"},{\"id\":\"1115\"},{\"id\":\"1116\"},{\"id\":\"1117\"},{\"id\":\"1156\"},{\"id\":\"1157\"},{\"id\":\"1158\"},{\"id\":\"1159\"},{\"id\":\"1211\"},{\"id\":\"1212\"},{\"id\":\"1213\"},{\"id\":\"1214\"},{\"id\":\"1215\"}]},\"id\":\"1334\",\"type\":\"ProxyToolbar\"},{\"attributes\":{},\"id\":\"1289\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1264\"}},\"id\":\"1269\",\"type\":\"CDSView\"},{\"attributes\":{\"callback\":null,\"point_policy\":\"follow_mouse\",\"tooltips\":\"\\n
\\n Key: \\n @key\\n
\\n
\\n Task: \\n @function\\n
\\n \"},\"id\":\"1113\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1114\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1115\",\"type\":\"ResetTool\"},{\"attributes\":{},\"id\":\"1102\",\"type\":\"LinearScale\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#9DD93A\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1267\",\"type\":\"Line\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1116\",\"type\":\"WheelZoomTool\"},{\"attributes\":{},\"id\":\"1146\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1290\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1117\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"1309\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1136\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis_label\":\"Worker ID\",\"axis_line_color\":null,\"formatter\":{\"id\":\"1133\"},\"major_tick_line_color\":null,\"ticker\":{\"id\":\"1111\"}},\"id\":\"1110\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"axis\":{\"id\":\"1106\"},\"grid_line_color\":null,\"ticker\":null},\"id\":\"1109\",\"type\":\"Grid\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1113\"},{\"id\":\"1114\"},{\"id\":\"1115\"},{\"id\":\"1116\"},{\"id\":\"1117\"}]},\"id\":\"1118\",\"type\":\"Toolbar\"},{\"attributes\":{\"factors\":[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\"]},\"id\":\"1100\",\"type\":\"FactorRange\"},{\"attributes\":{},\"id\":\"1131\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"text\":\"Profile Results\"},\"id\":\"1096\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"1144\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"color\"},\"height\":{\"units\":\"data\",\"value\":1},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"gray\"},\"width\":{\"field\":\"width\",\"units\":\"data\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1127\",\"type\":\"Rect\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#29788E\",\"line_width\":4,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1180\",\"type\":\"Line\"},{\"attributes\":{\"source\":{\"id\":\"1124\"}},\"id\":\"1129\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1107\",\"type\":\"BasicTicker\"},{\"attributes\":{\"end\":77.04807573393919},\"id\":\"1098\",\"type\":\"Range1d\"},{\"attributes\":{\"axis_label\":null,\"axis_line_color\":null,\"formatter\":{\"id\":\"1131\"},\"major_tick_line_color\":null,\"ticker\":{\"id\":\"1107\"}},\"id\":\"1106\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1111\",\"type\":\"CategoricalTicker\"},{\"attributes\":{},\"id\":\"1104\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"data_source\":{\"id\":\"1124\"},\"glyph\":{\"id\":\"1126\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1127\"},\"selection_glyph\":null,\"view\":{\"id\":\"1129\"}},\"id\":\"1128\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1EA087\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1261\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1135\",\"type\":\"Selection\"},{\"attributes\":{\"data\":{\"color\":[\"#46317E\",\"#46317E\",\"#46317E\",\"#46317E\",\"#46317E\",\"#46317E\",\"#46317E\",\"#46317E\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#365A8C\",\"#49C16D\",\"#49C16D\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#440154\",\"#FDE724\",\"#440154\",\"#365A8C\",\"#49C16D\",\"#49C16D\",\"#277E8E\",\"#1EA087\",\"#9DD93A\"],\"function\":[\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"mean_agg([_, _, _, ...])\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"_\",\"subgraph_callable(broadcast_to(_, *))\",\"_\",\"mean_agg([_, _, _, ...])\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"nanmax([_, _])\",\"nanmin([_, _])\",\"subgraph_callable(_, _)\"],\"key\":[\"('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 1, 0, 0)\",\"('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 0, 0, 0)\",\"('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 2, 0, 0)\",\"('open_dataset-concatenate-c65d8386de0ea7038d3d5fb40e42f881', 3, 0, 0)\",\"('open_dataset-concatenate-7b153c3806d78e81e62d87530f0e5d45', 0, 0, 0)\",\"('open_dataset-concatenate-7b153c3806d78e81e62d87530f0e5d45', 1, 0, 0)\",\"('open_dataset-concatenate-7b153c3806d78e81e62d87530f0e5d45', 2, 0, 0)\",\"('open_dataset-concatenate-7b153c3806d78e81e62d87530f0e5d45', 3, 0, 0)\",\"('concatenate-c65d8386de0ea7038d3d5fb40e42f881', 0, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 0, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 0, 0, 0)\",\"('concatenate-c65d8386de0ea7038d3d5fb40e42f881', 1, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 1, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 1, 0, 0)\",\"('concatenate-7b153c3806d78e81e62d87530f0e5d45', 0, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 0, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 0, 0, 0)\",\"('concatenate-c65d8386de0ea7038d3d5fb40e42f881', 2, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 2, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 2, 0, 0)\",\"('concatenate-c65d8386de0ea7038d3d5fb40e42f881', 3, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 3, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 0, 3, 0, 0)\",\"('mean_agg-aggregate-c320fcd5264d11753fb46bd2b85c03d9', 0, 0, 0)\",\"('nanmax-d3324d3b8647616e2ebf353d75fa583e', 0, 0, 0)\",\"('nanmin-8ff1ae3620749ec483d390db433a23e5', 0, 0, 0)\",\"('concatenate-7b153c3806d78e81e62d87530f0e5d45', 1, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 1, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 1, 0, 0)\",\"('concatenate-7b153c3806d78e81e62d87530f0e5d45', 3, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 3, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 3, 0, 0)\",\"('concatenate-7b153c3806d78e81e62d87530f0e5d45', 2, 0, 0)\",\"('broadcast_to-concatenate-mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 2, 0, 0)\",\"('mean_chunk-e4f737686614311389c59cdb68d02d2c', 1, 2, 0, 0)\",\"('mean_agg-aggregate-c320fcd5264d11753fb46bd2b85c03d9', 1, 0, 0)\",\"('nanmax-d3324d3b8647616e2ebf353d75fa583e', 1, 0, 0)\",\"('nanmin-8ff1ae3620749ec483d390db433a23e5', 1, 0, 0)\",\"('nanmax-aggregate-df1c5949d4e5d0c780aba02f671d2901', 0, 0)\",\"('nanmin-aggregate-2efab5209b733e4f956c23884313d47f', 0, 0)\",\"('sub-dd54572fd2ebf205fa50bcfb1767d70e', 0, 0)\"],\"width\":[23.78169822599739,12.465166297042742,46.2036309291143,48.680661965860054,35.014057117979974,60.765585106797516,75.44598407996818,63.29700480704196,0.0004949849098920822,1.6109019289724529,0.00040841707959771156,0.0004835040308535099,1.6253162531647831,0.0002308981493115425,0.00039236689917743206,1.620887883938849,0.0003811011556535959,0.00036298995837569237,1.5811940969433635,0.0004028158728033304,0.00035971193574368954,0.48492916603572667,0.0002645880449563265,0.0030002580024302006,0.0010160708334296942,0.0012113500852137804,0.00042378599755465984,1.5911306939087808,0.00039444584399461746,0.00032009114511311054,0.48072658106684685,0.0002284478396177292,0.0004226688761264086,1.5880606819409877,0.00029965094290673733,0.0027176998555660248,0.0011572539806365967,0.0012038219720125198,0.001083197072148323,0.0013386420905590057,0.007563096936792135],\"x\":[11.890849112998694,6.232647701399401,23.10190166370012,24.340443418128416,17.507168845040724,30.382948853541166,37.72316744411364,31.64869412756525,12.465572108514607,13.271309790434316,14.076996141579002,23.782023390056565,24.594964790390804,25.407766747055575,35.014415107434615,35.82508261105977,36.63575318665244,46.20394502510317,46.994741920614615,47.78558515687473,48.68097860715352,48.92364787613042,49.16627924912609,49.16794116911478,49.169997471617535,49.170162798138335,60.76601771800779,61.56182984798215,62.35762682603672,63.29738483368419,63.537952611455694,63.77846484002657,75.4464671316091,76.2407672049012,77.0349799816031,77.03650320204906,77.03847456909716,77.03853930602781,77.03960483451374,77.03982303501107,77.04429418547079],\"y\":[7,8,5,4,6,3,1,2,22,11,25,23,9,33,28,10,29,30,14,26,31,15,32,17,21,19,24,12,27,22,16,25,7,13,9,18,28,20,10,29,5]},\"selected\":{\"id\":\"1135\"},\"selection_policy\":{\"id\":\"1136\"}},\"id\":\"1124\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1157\",\"type\":\"ResetTool\"},{\"attributes\":{\"line_color\":\"#FDE724\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1236\",\"type\":\"Line\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1158\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"axis_label\":null,\"formatter\":{\"id\":\"1171\"},\"ticker\":{\"id\":\"1149\"}},\"id\":\"1148\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data\":{\"label\":[\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\",\"subgraph_callable(broadcast_to(_, *))\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0]},\"selected\":{\"id\":\"1279\"},\"selection_policy\":{\"id\":\"1280\"}},\"id\":\"1234\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1208\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1171\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1204\",\"type\":\"BasicTicker\"},{\"attributes\":{\"end\":7193.214976,\"start\":1462.734848},\"id\":\"1177\",\"type\":\"Range1d\"},{\"attributes\":{\"data_source\":{\"id\":\"1234\"},\"glyph\":{\"id\":\"1236\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1237\"},\"selection_glyph\":null,\"view\":{\"id\":\"1239\"}},\"id\":\"1238\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1156\",\"type\":\"SaveTool\"},{\"attributes\":{\"axis\":{\"id\":\"1203\"},\"ticker\":null},\"id\":\"1206\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1277\",\"type\":\"Selection\"},{\"attributes\":{\"line_color\":\"#46317E\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1224\",\"type\":\"Line\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1156\"},{\"id\":\"1157\"},{\"id\":\"1158\"},{\"id\":\"1159\"}]},\"id\":\"1160\",\"type\":\"Toolbar\"},{\"attributes\":{\"axis\":{\"id\":\"1207\"},\"dimension\":1,\"ticker\":null},\"id\":\"1210\",\"type\":\"Grid\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1159\",\"type\":\"PanTool\"},{\"attributes\":{\"axis_label\":\"Cache Size (count)\",\"formatter\":{\"id\":\"1273\"},\"ticker\":{\"id\":\"1208\"}},\"id\":\"1207\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"1234\"}},\"id\":\"1239\",\"type\":\"CDSView\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#440154\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1231\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1305\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data\":{\"label\":[\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\",\"mean_agg([_, _, _, ...])\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0]},\"selected\":{\"id\":\"1281\"},\"selection_policy\":{\"id\":\"1282\"}},\"id\":\"1240\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_color\":\"#440154\",\"line_width\":4,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1166\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"#365A8C\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1242\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1308\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1197\",\"type\":\"DataRange1d\"},{\"attributes\":{\"data\":{\"label\":[\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\",\"_\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,1,0,1,1,2,1,2,2,3,2,3,3,4,3,4,4,5,4,5,1,1,1,1,2,1,2,2,3,2,3,3,4,3,4,0,0,0,0,0,0,0]},\"selected\":{\"id\":\"1277\"},\"selection_policy\":{\"id\":\"1278\"}},\"id\":\"1228\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#FDE724\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1237\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1240\"},\"glyph\":{\"id\":\"1242\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1243\"},\"selection_glyph\":null,\"view\":{\"id\":\"1245\"}},\"id\":\"1244\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data\":{\"label\":[\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\",\"getter(_, *)\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0]},\"selected\":{\"id\":\"1275\"},\"selection_policy\":{\"id\":\"1276\"}},\"id\":\"1222\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1279\",\"type\":\"Selection\"},{\"attributes\":{\"callback\":null,\"tooltips\":\"\\n
\\n Task: \\n @label\\n
\\n \"},\"id\":\"1211\",\"type\":\"HoverTool\"},{\"attributes\":{},\"id\":\"1276\",\"type\":\"UnionRenderers\"},{\"attributes\":{},\"id\":\"1212\",\"type\":\"SaveTool\"},{\"attributes\":{},\"id\":\"1304\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis_label\":\"Time (s)\",\"formatter\":{\"id\":\"1271\"},\"ticker\":{\"id\":\"1204\"}},\"id\":\"1203\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1213\",\"type\":\"ResetTool\"},{\"attributes\":{\"source\":{\"id\":\"1240\"}},\"id\":\"1245\",\"type\":\"CDSView\"},{\"attributes\":{\"line_color\":\"#29788E\",\"line_width\":4,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1179\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1214\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"data\":{\"label\":[\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\",\"subgraph_callable(_)\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,4,2,0,0,0]},\"selected\":{\"id\":\"1283\"},\"selection_policy\":{\"id\":\"1284\"}},\"id\":\"1246\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"end\":682.2},\"id\":\"1142\",\"type\":\"Range1d\"},{\"attributes\":{\"below\":[{\"id\":\"1148\"}],\"center\":[{\"id\":\"1151\"},{\"id\":\"1155\"},{\"id\":\"1175\"}],\"extra_y_ranges\":{\"memory\":{\"id\":\"1177\"}},\"left\":[{\"id\":\"1152\"}],\"min_border_bottom\":20,\"min_border_left\":75,\"min_border_right\":75,\"min_border_top\":20,\"plot_height\":240,\"plot_width\":800,\"renderers\":[{\"id\":\"1168\"},{\"id\":\"1181\"}],\"right\":[{\"id\":\"1191\"}],\"title\":null,\"toolbar\":{\"id\":\"1160\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1098\"},\"x_scale\":{\"id\":\"1144\"},\"y_range\":{\"id\":\"1142\"},\"y_scale\":{\"id\":\"1146\"}},\"id\":\"1137\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"dimensions\":\"width\"},\"id\":\"1215\",\"type\":\"PanTool\"},{\"attributes\":{\"line_color\":\"#49C16D\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1248\",\"type\":\"Line\"},{\"attributes\":{\"below\":[{\"id\":\"1203\"}],\"center\":[{\"id\":\"1206\"},{\"id\":\"1210\"}],\"left\":[{\"id\":\"1207\"}],\"min_border_left\":75,\"min_border_right\":75,\"min_border_top\":20,\"plot_height\":270,\"plot_width\":800,\"renderers\":[{\"id\":\"1226\"},{\"id\":\"1232\"},{\"id\":\"1238\"},{\"id\":\"1244\"},{\"id\":\"1250\"},{\"id\":\"1256\"},{\"id\":\"1262\"},{\"id\":\"1268\"}],\"title\":null,\"toolbar\":{\"id\":\"1216\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1098\"},\"x_scale\":{\"id\":\"1199\"},\"y_range\":{\"id\":\"1197\"},\"y_scale\":{\"id\":\"1201\"}},\"id\":\"1192\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1201\",\"type\":\"LinearScale\"},{\"attributes\":{\"data_source\":{\"id\":\"1222\"},\"glyph\":{\"id\":\"1224\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1225\"},\"selection_glyph\":null,\"view\":{\"id\":\"1227\"}},\"id\":\"1226\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1133\",\"type\":\"CategoricalTickFormatter\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#365A8C\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1243\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1165\"},\"glyph\":{\"id\":\"1166\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1167\"},\"selection_glyph\":null,\"view\":{\"id\":\"1169\"}},\"id\":\"1168\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"1246\"},\"glyph\":{\"id\":\"1248\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1249\"},\"selection_glyph\":null,\"view\":{\"id\":\"1251\"}},\"id\":\"1250\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"below\":[{\"id\":\"1106\"}],\"center\":[{\"id\":\"1109\"},{\"id\":\"1112\"}],\"left\":[{\"id\":\"1110\"}],\"min_border_bottom\":20,\"min_border_left\":75,\"min_border_right\":75,\"plot_height\":270,\"plot_width\":800,\"renderers\":[{\"id\":\"1128\"}],\"title\":{\"id\":\"1096\"},\"toolbar\":{\"id\":\"1118\"},\"toolbar_location\":null,\"x_range\":{\"id\":\"1098\"},\"x_scale\":{\"id\":\"1102\"},\"y_range\":{\"id\":\"1100\"},\"y_scale\":{\"id\":\"1104\"}},\"id\":\"1095\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1275\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1165\"}},\"id\":\"1169\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1153\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"1286\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"source\":{\"id\":\"1246\"}},\"id\":\"1251\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1287\",\"type\":\"Selection\"},{\"attributes\":{\"data_source\":{\"id\":\"1252\"},\"glyph\":{\"id\":\"1254\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1255\"},\"selection_glyph\":null,\"view\":{\"id\":\"1257\"}},\"id\":\"1256\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#440154\",\"line_width\":4,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1167\",\"type\":\"Line\"},{\"attributes\":{\"items\":[{\"id\":\"1176\"},{\"id\":\"1190\"}]},\"id\":\"1175\",\"type\":\"Legend\"},{\"attributes\":{},\"id\":\"1285\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1273\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1283\",\"type\":\"Selection\"},{\"attributes\":{},\"id\":\"1173\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1284\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#49C16D\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1249\",\"type\":\"Line\"},{\"attributes\":{\"label\":{\"value\":\"% CPU\"},\"renderers\":[{\"id\":\"1168\"}]},\"id\":\"1176\",\"type\":\"LegendItem\"},{\"attributes\":{\"data\":{\"label\":[\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\",\"nanmax([_, _])\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0]},\"selected\":{\"id\":\"1285\"},\"selection_policy\":{\"id\":\"1286\"}},\"id\":\"1252\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1282\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis_label\":\"% CPU\",\"formatter\":{\"id\":\"1173\"},\"ticker\":{\"id\":\"1153\"}},\"id\":\"1152\",\"type\":\"LinearAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1258\"},\"glyph\":{\"id\":\"1260\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1261\"},\"selection_glyph\":null,\"view\":{\"id\":\"1263\"}},\"id\":\"1262\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1281\",\"type\":\"Selection\"},{\"attributes\":{\"line_color\":\"#277E8E\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1254\",\"type\":\"Line\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1211\"},{\"id\":\"1212\"},{\"id\":\"1213\"},{\"id\":\"1214\"},{\"id\":\"1215\"}]},\"id\":\"1216\",\"type\":\"Toolbar\"},{\"attributes\":{\"source\":{\"id\":\"1178\"}},\"id\":\"1182\",\"type\":\"CDSView\"},{\"attributes\":{\"data\":{\"x\":[0.0,0.2841829941608012,0.5345922261476517,0.7852303520776331,1.0359203950501978,1.2865951471030712,1.5372036951594055,1.787890573963523,2.0386712371837348,2.289433825062588,2.540158237097785,2.7910476829856634,3.041902287164703,3.2926706119906157,3.5435734800994396,3.794383800122887,4.0451680701226,4.295957115013152,4.546781066106632,4.797634250018746,5.0483073780778795,5.298944232985377,5.549488945165649,5.800093739992008,6.0506841680034995,6.30135887907818,6.552013413049281,6.802501316182315,7.052976301172748,7.3036424200981855,7.554275345057249,7.804811560083181,8.05537137016654,8.305902841035277,8.556574115995318,8.80710317613557,9.0575889761094,9.308137657120824,9.558705314993858,9.809268483193591,10.059907193062827,10.310406032018363,10.561093843076378,10.811664514010772,11.06223711417988,11.312850093003362,11.563549258047715,11.814236538019031,12.065025976160541,12.315826124045998,12.566511588171124,12.817206541076303,13.067800366086885,13.318400481017306,13.569040248170495,13.819498284021392,14.070160903967917,14.320979718118906,14.571794766001403,14.822637559147552,15.073371288133785,15.324229879071936,15.57501607015729,15.825772267067805,16.07655390514992,16.327453379053622,16.57826889306307,16.828971873037517,17.079823922133073,17.330618189182132,17.58153303200379,17.832358291139826,18.08318845415488,18.33404083410278,18.584831934189424,18.8357447150629,19.08655041316524,19.337298659142107,19.588134674122557,19.83902064198628,20.089867535047233,20.34067693911493,20.591552515048534,20.842457342194393,21.09318509604782,21.34394656913355,21.5946572041139,21.845545819029212,22.096379430033267,22.34724400797859,22.598008485976607,22.84870973904617,23.099561223061755,23.350404469063506,23.601240975083783,23.85204245406203,24.102790848119184,24.35345405410044,24.604336742078885,24.85504975100048,25.105783696984872,25.356554102152586,25.607214498100802,25.857910711085424,26.108687905129045,26.359439332969487,26.610251271165907,26.860795192187652,27.11149505712092,27.3622328650672,27.612980674020946,27.863728970987722,28.11430953303352,28.365082202013582,28.61583289015107,28.866575235966593,29.117174050072208,29.36788778519258,29.61862246110104,29.869345961138606,30.12007038714364,30.370615571038797,30.62126867310144,30.872039155103266,31.12283530505374,31.37359672319144,31.62423871597275,31.874950640136376,32.12561714509502,32.376385568175465,32.627165439072996,32.877835924969986,33.128361898008734,33.379024325171486,33.62971094297245,33.88030829816125,34.130916013149545,34.381708443164825,34.632463216083124,34.883301015011966,35.13395616109483,35.3846337411087,35.635450683068484,35.886317163007334,36.13702431204729,36.38784309918992,36.6387502939906,36.889545139158145,37.140248782001436,37.39105634903535,37.641882348107174,37.89253403106704,38.14338014903478,38.39406394213438,38.644820432178676,38.89548393012956,39.14607920800336,39.39684990909882,39.647644461132586,39.89815772115253,40.14885093201883,40.39959784504026,40.650314894970506,40.90116612799466,41.151942818192765,41.40251626004465,41.653120323084295,41.90372182102874,42.154384684050456,42.40497867204249,42.655608023982495,42.90609744703397,43.15665313205682,43.40715959807858,43.65774127608165,43.9082600150723,44.15891232015565,44.409555735997856,44.66014487110078,44.91062493715435,45.161252479068935,45.41188496211544,45.66249088617042,45.91314693610184,46.16366155305877,46.41432343097404,46.66491370019503,46.91554794111289,47.1661792260129,47.41686631506309,47.66733128204942,47.9177753131371,48.16836494603194,48.419108774047345,48.66985624213703,48.920573806157336,49.171431886032224,49.42223608517088,49.67314215400256,49.924051000969484,50.17489402112551,50.42567930207588,50.67653203802183,50.92737945402041,51.1782483831048,51.42912440910004,51.67986952513456,51.9306824230589,52.18145967810415,52.432308783056214,52.68318233708851,52.93399183219299,53.18478834815323,53.43564591417089,53.68648277805187,53.937386617064476,54.18823933205567,54.439113149186596,54.68999350210652,54.940854577114806,55.191648207139224,55.442466758191586,55.69319798098877,55.94397999509238,56.194752319017425,56.44543285807595,56.69621368101798,56.94711598008871,57.197951453970745,57.448683575028554,57.69920933316462,57.95007520308718,58.20096169714816,58.45176668302156,58.70254117413424,58.95335244014859,59.20404241303913,59.45490037603304,59.70582193112932,59.95667609805241,60.20757199800573,60.458410253049806,60.709088227013126,60.959951556054875,61.210740636102855,61.46162127610296,61.712470727972686,61.96320188813843,62.214037141995504,62.46475315815769,62.71543595613912,62.96618621912785,63.21701357210986,63.46789454203099,63.71865487098694,63.969532194081694,64.22031939215958,64.47097710310481,64.7216312889941,64.97224758099765,65.22269665612839,65.4731446299702,65.72377267107368,65.97436729306355,66.2249707551673,66.47565577900968,66.72631475515664,66.97697526402771,67.22757628909312,67.47815280896612,67.72882258612663,67.9794789890293,68.23009143513627,68.48071272205561,68.73128448007628,68.98190131504089,69.23256117501296,69.48315784311853,69.73382277716883,69.98427412216552,70.23495728801936,70.48560034809634,70.73626821115613,70.98688245611265,71.23753234604374,71.48815168510191,71.73858512798324,71.98923748615198,72.2398075920064,72.49035747908056,72.74106507515535,72.99176724813879,73.24235274107195,73.49303240911104,73.74364433414303,73.99429486319423,74.24483429803513,74.49538369802758,74.74608334200457,74.99653832498007,75.24718752899207,75.4978391721379,75.74840013310313,75.99906131415628,76.24964132509194,76.50035321107134,76.75077969906852,77.00138853816316],\"y\":[0.0,0.0,4.0,0.0,323.1,0.0,0.0,0.0,410.7,0.0,4.0,0.0,414.6,0.0,0.0,0.0,414.7,4.0,0.0,0.0,414.9,0.0,0.0,0.0,419.0,0.0,0.0,0.0,415.2,0.0,0.0,0.0,0.0,415.1,0.0,0.0,0.0,415.1,167.6,0.0,0.0,247.5,0.0,0.0,0.0,466.8,23.9,339.1,83.7,339.0,203.5,0.0,151.6,462.9,115.7,63.9,311.1,235.2,0.0,0.0,0.0,0.0,418.7,0.0,0.0,0.0,414.7,0.0,4.0,0.0,414.5,0.0,0.0,0.0,414.7,0.0,0.0,0.0,418.6,0.0,0.0,4.0,410.6,0.0,0.0,0.0,418.8,4.0,0.0,0.0,386.8,107.7,135.5,0.0,219.3,506.3,87.7,0.0,0.0,682.2,143.6,39.9,263.3,239.3,0.0,0.0,0.0,411.1,4.0,0.0,0.0,418.8,0.0,0.0,0.0,414.8,0.0,0.0,0.0,0.0,418.8,0.0,0.0,0.0,410.7,0.0,0.0,0.0,418.9,0.0,0.0,0.0,415.1,4.0,0.0,323.2,227.4,115.6,107.7,39.9,570.5,0.0,147.5,0.0,191.5,582.0,179.4,0.0,0.0,326.9,0.0,0.0,0.0,410.9,4.0,0.0,0.0,418.6,0.0,0.0,0.0,414.7,0.0,0.0,0.0,415.1,0.0,4.0,0.0,411.0,0.0,0.0,4.0,0.0,419.1,0.0,0.0,0.0,415.1,175.7,87.8,0.0,435.0,127.7,83.8,375.0,259.4,4.0,103.7,111.7,567.0,63.9,0.0,23.9,546.4,91.7,195.3,159.5,155.4,0.0,0.0,0.0,0.0,418.6,0.0,0.0,0.0,414.6,0.0,0.0,0.0,418.6,0.0,0.0,0.0,410.5,0.0,0.0,0.0,418.6,0.0,0.0,0.0,418.8,0.0,0.0,0.0,414.5,4.0,0.0,0.0,0.0,410.6,0.0,0.0,0.0,418.9,171.4,75.7,0.0,422.5,75.7,95.7,271.1,374.8,75.7,91.7,131.6,530.2,139.6,67.8,19.9,370.7,147.5,211.4,19.9,0.0,259.4,0.0,0.0,0.0,419.2,0.0,259.4,0.0,155.6,0.0,0.0,0.0,419.0,0.0,0.0,0.0,414.9,0.0,0.0,4.0,415.0,0.0,0.0,0.0,418.9,0.0,0.0,0.0,0.0,411.3,0.0,0.0,4.0,414.8,0.0,0.0,0.0,419.0,0.0,0.0,0.0,414.9,0.0,0.0,319.2,99.8,0.0,0.0,0.0,411.3,119.7]},\"selected\":{\"id\":\"1188\"},\"selection_policy\":{\"id\":\"1189\"}},\"id\":\"1165\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1280\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"axis\":{\"id\":\"1152\"},\"dimension\":1,\"ticker\":null},\"id\":\"1155\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1188\",\"type\":\"Selection\"},{\"attributes\":{\"source\":{\"id\":\"1252\"}},\"id\":\"1257\",\"type\":\"CDSView\"},{\"attributes\":{\"children\":[[{\"id\":\"1095\"},0,0],[{\"id\":\"1137\"},1,0],[{\"id\":\"1192\"},2,0]]},\"id\":\"1333\",\"type\":\"GridBox\"},{\"attributes\":{},\"id\":\"1271\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"data_source\":{\"id\":\"1178\"},\"glyph\":{\"id\":\"1179\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1180\"},\"selection_glyph\":null,\"view\":{\"id\":\"1182\"},\"y_range_name\":\"memory\"},\"id\":\"1181\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1222\"}},\"id\":\"1227\",\"type\":\"CDSView\"},{\"attributes\":{\"label\":{\"value\":\"Memory\"},\"renderers\":[{\"id\":\"1181\"}]},\"id\":\"1190\",\"type\":\"LegendItem\"},{\"attributes\":{},\"id\":\"1149\",\"type\":\"BasicTicker\"},{\"attributes\":{\"line_color\":\"#440154\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1230\",\"type\":\"Line\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#277E8E\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1255\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"1189\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data\":{\"label\":[\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\",\"nanmin([_, _])\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0]},\"selected\":{\"id\":\"1287\"},\"selection_policy\":{\"id\":\"1288\"}},\"id\":\"1258\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"axis_label\":\"Memory (MB)\",\"formatter\":{\"id\":\"1304\"},\"ticker\":{\"id\":\"1305\"},\"y_range_name\":\"memory\"},\"id\":\"1191\",\"type\":\"LinearAxis\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#46317E\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1225\",\"type\":\"Line\"},{\"attributes\":{\"line_color\":\"#1EA087\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1260\",\"type\":\"Line\"},{\"attributes\":{\"data_source\":{\"id\":\"1228\"},\"glyph\":{\"id\":\"1230\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1231\"},\"selection_glyph\":null,\"view\":{\"id\":\"1233\"}},\"id\":\"1232\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"1258\"}},\"id\":\"1263\",\"type\":\"CDSView\"},{\"attributes\":{\"toolbar\":{\"id\":\"1334\"},\"toolbar_location\":\"above\"},\"id\":\"1335\",\"type\":\"ToolbarBox\"},{\"attributes\":{},\"id\":\"1278\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"data\":{\"label\":[\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\",\"subgraph_callable(_, _)\"],\"x\":[0,12.465908901998773,12.466478660004213,14.077423352980986,14.077861641999334,23.78238379699178,23.782927381107584,25.408284882083535,25.40854131989181,35.01485932501964,35.01527259591967,36.636189475888386,36.63660281500779,46.20438689389266,46.20478544803336,47.78600196307525,47.78644555504434,48.68143955105916,48.68182341288775,49.16677561006509,49.16708000795916,49.170101979980245,49.17116545396857,49.17142699402757,60.76642143703066,60.76688875304535,62.35805806098506,62.35851118993014,63.29786502709612,63.29821859207004,63.77897833404131,63.77923818398267,75.44684704905376,75.4473376639653,77.03546047606505,77.03578871209174,77.03852137597278,77.03971231705509,77.03980005090125,77.04080539895222,77.04115120903589,77.04873439506628,77.04912118497305],\"y\":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0]},\"selected\":{\"id\":\"1289\"},\"selection_policy\":{\"id\":\"1290\"}},\"id\":\"1264\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1199\",\"type\":\"LinearScale\"},{\"attributes\":{\"axis\":{\"id\":\"1148\"},\"ticker\":null},\"id\":\"1151\",\"type\":\"Grid\"},{\"attributes\":{\"source\":{\"id\":\"1228\"}},\"id\":\"1233\",\"type\":\"CDSView\"}],\"root_ids\":[\"1336\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.2\"}};\n", - " var render_items = [{\"docid\":\"cd5defcf-9664-495f-a0a0-6c9a95fdb4f4\",\"root_ids\":[\"1336\"],\"roots\":{\"1336\":\"ddccb519-fe2e-4850-8f4c-a7a7de1d342d\"}}];\n", - " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", - " }\n", - " if (root.Bokeh !== undefined) {\n", - " embed_document(root);\n", - " } else {\n", - " var attempts = 0;\n", - " var timer = setInterval(function(root) {\n", - " if (root.Bokeh !== undefined) {\n", - " clearInterval(timer);\n", - " embed_document(root);\n", - " } else {\n", - " attempts++;\n", - " if (attempts > 100) {\n", - " clearInterval(timer);\n", - " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", - " }\n", - " }\n", - " }, 10, root)\n", - " }\n", - "})(window);" - ], - "application/vnd.bokehjs_exec.v0+json": "" - }, - "metadata": { - "application/vnd.bokehjs_exec.v0+json": { - "id": "1336" - } - }, - "output_type": "display_data" - }, - { - "data": { - "text/html": [ - "
Column(
id = '1336', …)
align = 'start',
aspect_ratio = None,
background = None,
children = [ToolbarBox(id='1335', ...), GridBox(id='1333', ...)],
css_classes = [],
disabled = False,
height = None,
height_policy = 'auto',
js_event_callbacks = {},
js_property_callbacks = {},
margin = (0, 0, 0, 0),
max_height = None,
max_width = None,
min_height = None,
min_width = None,
name = None,
rows = 'auto',
sizing_mode = None,
spacing = 0,
subscribed_events = [],
tags = [],
visible = True,
width = None,
width_policy = 'auto')
\n", - "\n" - ], - "text/plain": [ - "Column(id='1336', ...)" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dask.diagnostics import visualize\n", - "visualize([prof, rprof, cprof])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Looking at the above figure, from top to bottom:\n", - "\n", - "1. The results from the `Profiler` object: This shows the execution time for each task as a rectangle, organized along the y-axis by worker (in this case threads). Similar tasks are grouped by color and, by hovering over each task, one can see the key and task that each block represents.\n", - "\n", - "2. The results from the `ResourceProfiler` object: This shows two lines, one for total CPU percentage used by all the workers, and one for total memory usage.\n", - "\n", - "3. The results from the `CacheProfiler` object: This shows a line for each task group, plotting the sum of the current `metric` in the cache against time. In this case it’s the default metric (count) and the lines represent the number of each object in the cache at that time. Note that the grouping and coloring is the same as for the `Profiler` plot, and that the task represented by each line can be found by hovering over the line." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Diagnostics (distributed)\n", - "\n", - "The Dask distributed scheduler provides live feedback in two forms:\n", - "\n", - "1. An interactive dashboard containing many plots and tables with live information\n", - "2. A progress bar suitable for interactive use in consoles or notebooks\n", - "\n", - "If Bokeh is installed then the dashboard will start up automatically whenever the scheduler is created. For local use this happens when you create a client with no arguments:" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/node.py:244: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 42235 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - } - ], - "source": [ - "from dask.distributed import Client\n", - "client = Client()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is typically served at http://localhost:8787/status, but may be served elsewhere if this port is taken." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file. Please make sure you specify the correct path to the schedular.json file within your environment. If you run this notebook under Pangeo environment on Gadi, the port number is assigned by the job submission and saved in the **client_cmd** file. The address of the dashboard will be displayed if you are in a Jupyter Notebook, or can be queried from `client.scheduler_info()['services']`." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can watch the [youtube video](https://www.youtube.com/watch?v=N_GqzcuGLCY) below to get a full overview of what dashboard offers. There are a number of pages with information about task runtimes, communication, statistical profiling, load balancing, memory use, and much more.\n", - "\n", - "
\n", - "Warning: If you run this notebook on the Gadi compute node, you won't be able to see the video as Gadi compute nodes are not accessible to an external website.\n", - "
" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from IPython.display import YouTubeVideo\n", - "\n", - "def display_yotube_video(url, **kwargs):\n", - " \"\"\"\n", - " Displays a Youtube video in a Jupyter notebook.\n", - " \n", - " Args:\n", - " url (string): a link to a Youtube video.\n", - " **kwargs: further arguments for IPython.display.YouTubeVideo\n", - " \n", - " Returns:\n", - " YouTubeVideo: a video that is displayed in your notebook.\n", - " \"\"\"\n", - " id_ = url.split(\"=\")[-1]\n", - " return YouTubeVideo(id_, **kwargs)\n", - "\n", - "display_yotube_video(\"https://www.youtube.com/watch?v=N_GqzcuGLCY\", width=600, height=400)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can capture some of the same information that the dashboard presents for offline processing using the `get_task_stream` and `Client.profile` functions. These capture the start and stop time of every task and transfer, as well as the results of a statistical profiler." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import get_task_stream\n", - "with get_task_stream() as ts:\n", - " x.compute()\n", - "\n", - "history = ts.data\n", - "\n", - "data, figure = client.get_task_stream(plot='save', filename='myfile.html')" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({'description': {'filename': '', 'name': '', 'line_number': 0, 'line': ''},\n", - " 'children': {},\n", - " 'count': 0,\n", - " 'identifier': 'root'},\n", - " Figure(id='5358', ...))" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "client.profile(filename=\"dask-profile.html\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Get back a Bokeh figure and optionally save to a file" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [], - "source": [ - "ts.figure" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Additionally, Dask can save many diagnostics dashboards at once including the task stream, worker profiles, bandwidths, etc. with the `performance_report` context manager:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import performance_report\n", - "\n", - "with performance_report(filename=\"dask-report.html\"):\n", - " ## some dask computation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Progress bar\n", - "\n", - "The `dask.distributed` progress bar differs from the `ProgressBar` used for local diagnostics. The `progress` function takes a Dask object that is executing in the background:" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.],\n", - " [1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1.]])" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Single machine progress bar\n", - "from dask.diagnostics import ProgressBar\n", - "\n", - "with ProgressBar():\n", - " x.compute()\n", - "\n", - "# Distributed scheduler ProgressBar\n", - "\n", - "from dask.distributed import progress\n", - "\n", - "x = x.persist() # start computation in the background\n", - "progress(x) # watch progress\n", - "\n", - "x.compute() # convert to final result when done if desired" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### The accessible port\n", - "\n", - "The default port for the web interface is 8787. However, some clusters restrict the ports that are visible to the outside world. These ports may include the default port for the web interface, 8787. There are a few ways to handle this:\n", - "\n", - "1. Open port `8787` to the outside world. Often this involves asking your cluster administrator.\n", - "2. Use a different port that is publicly accessible using the --`dashboard-address :8787` option on the `dask-scheduler` command.\n", - "3. Use fancier techniques, like Port Forwarding\n", - "\n", - "If you create a distributed schedular from the Pangeo environment on Gadi, a random port number (8000-8999) for the dashboard will be assigned to you. See more information on the page about [setting up Pangeo environment on Gadi]()." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example shows some dask diagnostic tools to examine the runtime and resource usages. " - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_12_intensive_calculation_eReef-checkpoint.ipynb b/.ipynb_checkpoints/Dask_12_intensive_calculation_eReef-checkpoint.ipynb deleted file mode 100755 index 9e9c39c..0000000 --- a/.ipynb_checkpoints/Dask_12_intensive_calculation_eReef-checkpoint.ipynb +++ /dev/null @@ -1,4843 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Sea Surface Altimetry Data Analysis\n", - "\n", - "For this example we will use gridded sea level data in Great Barrier Reef to demonstrate how Dask handle expensive calculation.\n", - "\n", - "- Examine dataset and its variables\n", - "- Timeseries of mean surface elevation in this region\n", - "- Sea level variability\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask array, Sea Level, Great Barrier Reef\n", - "- Create Date: 2020-Sep\n", - "-----" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout = Date.now() + 5000;\n", - " root._bokeh_failed_load = false;\n", - " }\n", - "\n", - " function run_callbacks() {\n", - " try {\n", - " root._bokeh_onload_callbacks.forEach(function(callback) {\n", - " if (callback != null)\n", - " callback();\n", - " });\n", - " } finally {\n", - " delete root._bokeh_onload_callbacks\n", - " }\n", - " console.debug(\"Bokeh: all callbacks have finished\");\n", - " }\n", - "\n", - " function load_libs(css_urls, js_urls, callback) {\n", - " if (css_urls == null) css_urls = [];\n", - " if (js_urls == null) js_urls = [];\n", - "\n", - " root._bokeh_onload_callbacks.push(callback);\n", - " if (root._bokeh_is_loading > 0) {\n", - " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", - " return null;\n", - " }\n", - " if (js_urls == null || js_urls.length === 0) {\n", - " run_callbacks();\n", - " return null;\n", - " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", - "\n", - " function on_load() {\n", - " root._bokeh_is_loading--;\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", - " run_callbacks()\n", - " }\n", - " }\n", - "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", - " }\n", - "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " const element = document.createElement(\"link\");\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.rel = \"stylesheet\";\n", - " element.type = \"text/css\";\n", - " element.href = url;\n", - " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " if (window.requirejs) {\n", - " require([], function() {\n", - " run_callbacks();\n", - " })\n", - " } else {\n", - " var skip = [];\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " if (skip.indexOf(url) >= 0) { on_load(); continue; }\n", - " var element = document.createElement('script');\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.async = false;\n", - " element.src = url;\n", - " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", - " document.head.appendChild(element);\n", - " }\n", - " }\n", - " };\n", - "\n", - " function inject_raw_css(css) {\n", - " const element = document.createElement(\"style\");\n", - " element.appendChild(document.createTextNode(css));\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " var js_urls = [];\n", - " var css_urls = [];\n", - "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", - " inject_raw_css(\"table.panel-df {\\n margin-left: auto;\\n margin-right: auto;\\n border: none;\\n border-collapse: collapse;\\n border-spacing: 0;\\n color: black;\\n font-size: 12px;\\n table-layout: fixed;\\n width: 100%;\\n}\\n\\n.panel-df tr, .panel-df th, .panel-df td {\\n text-align: right;\\n vertical-align: middle;\\n padding: 0.5em 0.5em !important;\\n line-height: normal;\\n white-space: normal;\\n max-width: none;\\n border: none;\\n}\\n\\n.panel-df tbody {\\n display: table-row-group;\\n vertical-align: middle;\\n border-color: inherit;\\n}\\n\\n.panel-df tbody tr:nth-child(odd) {\\n background: #f5f5f5;\\n}\\n\\n.panel-df thead {\\n border-bottom: 1px solid black;\\n vertical-align: bottom;\\n}\\n\\n.panel-df tr:hover {\\n background: lightblue !important;\\n cursor: pointer;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".panel-widget-box {\\n\\tmin-height: 20px;\\n\\tbackground-color: #f5f5f5;\\n\\tborder: 1px solid #e3e3e3 !important;\\n\\tborder-radius: 4px;\\n\\t-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\tbox-shadow: inset 0 1px 1px rgba(0,0,0,.05);\\n\\toverflow-x: hidden;\\n\\toverflow-y: hidden;\\n}\\n\\n.scrollable {\\n overflow: scroll;\\n}\\n\\nprogress {\\n\\tappearance: none;\\n\\t-moz-appearance: none;\\n\\t-webkit-appearance: none;\\n\\n\\tborder: none;\\n\\theight: 20px;\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n\\tcolor: royalblue;\\n\\tposition: relative;\\n\\tmargin: 0 0 1.5em;\\n}\\n\\nprogress[value]::-webkit-progress-bar {\\n\\tbackground-color: whiteSmoke;\\n\\tborder-radius: 3px;\\n\\tbox-shadow: 0 2px 3px rgba(0,0,0,.5) inset;\\n}\\n\\nprogress[value]::-webkit-progress-value {\\n\\tposition: relative;\\n\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress.active:not([value])::before {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress[value]::-moz-progress-bar {\\n\\tbackground-size: 35px 20px, 100% 100%, 100% 100%;\\n\\tborder-radius:3px;\\n}\\n\\nprogress:not([value])::-moz-progress-bar {\\n\\tborder-radius:3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n\\n}\\n\\nprogress.active:not([value])::-moz-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.active:not([value])::-webkit-progress-bar {\\n\\tbackground-position: 10%;\\n\\tanimation-name: stripes;\\n\\tanimation-duration: 3s;\\n\\tanimation-timing-function: linear;\\n\\tanimation-iteration-count: infinite;\\n}\\n\\nprogress.primary[value]::-webkit-progress-value { background-color: #007bff; }\\nprogress.primary:not([value])::before { background-color: #007bff; }\\nprogress.primary:not([value])::-webkit-progress-bar { background-color: #007bff; }\\nprogress.primary::-moz-progress-bar { background-color: #007bff; }\\n\\nprogress.secondary[value]::-webkit-progress-value { background-color: #6c757d; }\\nprogress.secondary:not([value])::before { background-color: #6c757d; }\\nprogress.secondary:not([value])::-webkit-progress-bar { background-color: #6c757d; }\\nprogress.secondary::-moz-progress-bar { background-color: #6c757d; }\\n\\nprogress.success[value]::-webkit-progress-value { background-color: #28a745; }\\nprogress.success:not([value])::before { background-color: #28a745; }\\nprogress.success:not([value])::-webkit-progress-bar { background-color: #28a745; }\\nprogress.success::-moz-progress-bar { background-color: #28a745; }\\n\\nprogress.danger[value]::-webkit-progress-value { background-color: #dc3545; }\\nprogress.danger:not([value])::before { background-color: #dc3545; }\\nprogress.danger:not([value])::-webkit-progress-bar { background-color: #dc3545; }\\nprogress.danger::-moz-progress-bar { background-color: #dc3545; }\\n\\nprogress.warning[value]::-webkit-progress-value { background-color: #ffc107; }\\nprogress.warning:not([value])::before { background-color: #ffc107; }\\nprogress.warning:not([value])::-webkit-progress-bar { background-color: #ffc107; }\\nprogress.warning::-moz-progress-bar { background-color: #ffc107; }\\n\\nprogress.info[value]::-webkit-progress-value { background-color: #17a2b8; }\\nprogress.info:not([value])::before { background-color: #17a2b8; }\\nprogress.info:not([value])::-webkit-progress-bar { background-color: #17a2b8; }\\nprogress.info::-moz-progress-bar { background-color: #17a2b8; }\\n\\nprogress.light[value]::-webkit-progress-value { background-color: #f8f9fa; }\\nprogress.light:not([value])::before { background-color: #f8f9fa; }\\nprogress.light:not([value])::-webkit-progress-bar { background-color: #f8f9fa; }\\nprogress.light::-moz-progress-bar { background-color: #f8f9fa; }\\n\\nprogress.dark[value]::-webkit-progress-value { background-color: #343a40; }\\nprogress.dark:not([value])::-webkit-progress-bar { background-color: #343a40; }\\nprogress.dark:not([value])::before { background-color: #343a40; }\\nprogress.dark::-moz-progress-bar { background-color: #343a40; }\\n\\nprogress:not([value])::-webkit-progress-bar {\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\nprogress:not([value])::before {\\n\\tcontent:\\\" \\\";\\n\\tposition:absolute;\\n\\theight: 20px;\\n\\ttop:0;\\n\\tleft:0;\\n\\tright:0;\\n\\tbottom:0;\\n\\tborder-radius: 3px;\\n\\tbackground:\\n\\tlinear-gradient(-45deg, transparent 33%, rgba(0, 0, 0, 0.2) 33%, rgba(0, 0, 0, 0.2) 66%, transparent 66%) left/2.5em 1.5em;\\n}\\n\\n@keyframes stripes {\\n from {background-position: 0%}\\n to {background-position: 100%}\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-row,\\n.json-formatter-row a,\\n.json-formatter-row a:hover {\\n color: black;\\n text-decoration: none;\\n}\\n.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-row .json-formatter-string,\\n.json-formatter-row .json-formatter-stringifiable {\\n color: green;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-row .json-formatter-number {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-boolean {\\n color: red;\\n}\\n.json-formatter-row .json-formatter-null {\\n color: #855A00;\\n}\\n.json-formatter-row .json-formatter-undefined {\\n color: #ca0b69;\\n}\\n.json-formatter-row .json-formatter-function {\\n color: #FF20ED;\\n}\\n.json-formatter-row .json-formatter-date {\\n background-color: rgba(0, 0, 0, 0.05);\\n}\\n.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: blue;\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-bracket {\\n color: blue;\\n}\\n.json-formatter-row .json-formatter-key {\\n color: #00008B;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n.json-formatter-dark.json-formatter-row {\\n font-family: monospace;\\n}\\n.json-formatter-dark.json-formatter-row,\\n.json-formatter-dark.json-formatter-row a,\\n.json-formatter-dark.json-formatter-row a:hover {\\n color: white;\\n text-decoration: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-row {\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty {\\n opacity: 0.5;\\n margin-left: 1rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty:after {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-object:after {\\n content: \\\"No properties\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-children.json-formatter-empty.json-formatter-array:after {\\n content: \\\"[]\\\";\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-string,\\n.json-formatter-dark.json-formatter-row .json-formatter-stringifiable {\\n color: #31F031;\\n white-space: pre;\\n word-wrap: break-word;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-number {\\n color: #66C2FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-boolean {\\n color: #EC4242;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-null {\\n color: #EEC97D;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-undefined {\\n color: #ef8fbe;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-function {\\n color: #FD48CB;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-date {\\n background-color: rgba(255, 255, 255, 0.05);\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-url {\\n text-decoration: underline;\\n color: #027BFF;\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-bracket {\\n color: #9494FF;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-key {\\n color: #23A0DB;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler-link {\\n cursor: pointer;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler {\\n line-height: 1.2rem;\\n font-size: 0.7rem;\\n vertical-align: middle;\\n opacity: 0.6;\\n cursor: pointer;\\n padding-right: 0.2rem;\\n}\\n.json-formatter-dark.json-formatter-row .json-formatter-toggler:after {\\n display: inline-block;\\n transition: transform 100ms ease-in;\\n content: \\\"\\\\25BA\\\";\\n}\\n.json-formatter-dark.json-formatter-row > a > .json-formatter-preview-text {\\n opacity: 0;\\n transition: opacity 0.15s ease-in;\\n font-style: italic;\\n}\\n.json-formatter-dark.json-formatter-row:hover > a > .json-formatter-preview-text {\\n opacity: 0.6;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-toggler-link .json-formatter-toggler:after {\\n transform: rotate(90deg);\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > .json-formatter-children:after {\\n display: inline-block;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open > a > .json-formatter-preview-text {\\n display: none;\\n}\\n.json-formatter-dark.json-formatter-row.json-formatter-open.json-formatter-empty:after {\\n display: block;\\n}\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " inject_raw_css(\".codehilite .hll { background-color: #ffffcc }\\n.codehilite { background: #f8f8f8; }\\n.codehilite .c { color: #408080; font-style: italic } /* Comment */\\n.codehilite .err { border: 1px solid #FF0000 } /* Error */\\n.codehilite .k { color: #008000; font-weight: bold } /* Keyword */\\n.codehilite .o { color: #666666 } /* Operator */\\n.codehilite .ch { color: #408080; font-style: italic } /* Comment.Hashbang */\\n.codehilite .cm { color: #408080; font-style: italic } /* Comment.Multiline */\\n.codehilite .cp { color: #BC7A00 } /* Comment.Preproc */\\n.codehilite .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */\\n.codehilite .c1 { color: #408080; font-style: italic } /* Comment.Single */\\n.codehilite .cs { color: #408080; font-style: italic } /* Comment.Special */\\n.codehilite .gd { color: #A00000 } /* Generic.Deleted */\\n.codehilite .ge { font-style: italic } /* Generic.Emph */\\n.codehilite .gr { color: #FF0000 } /* Generic.Error */\\n.codehilite .gh { color: #000080; font-weight: bold } /* Generic.Heading */\\n.codehilite .gi { color: #00A000 } /* Generic.Inserted */\\n.codehilite .go { color: #888888 } /* Generic.Output */\\n.codehilite .gp { color: #000080; font-weight: bold } /* Generic.Prompt */\\n.codehilite .gs { font-weight: bold } /* Generic.Strong */\\n.codehilite .gu { color: #800080; font-weight: bold } /* Generic.Subheading */\\n.codehilite .gt { color: #0044DD } /* Generic.Traceback */\\n.codehilite .kc { color: #008000; font-weight: bold } /* Keyword.Constant */\\n.codehilite .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */\\n.codehilite .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */\\n.codehilite .kp { color: #008000 } /* Keyword.Pseudo */\\n.codehilite .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */\\n.codehilite .kt { color: #B00040 } /* Keyword.Type */\\n.codehilite .m { color: #666666 } /* Literal.Number */\\n.codehilite .s { color: #BA2121 } /* Literal.String */\\n.codehilite .na { color: #7D9029 } /* Name.Attribute */\\n.codehilite .nb { color: #008000 } /* Name.Builtin */\\n.codehilite .nc { color: #0000FF; font-weight: bold } /* Name.Class */\\n.codehilite .no { color: #880000 } /* Name.Constant */\\n.codehilite .nd { color: #AA22FF } /* Name.Decorator */\\n.codehilite .ni { color: #999999; font-weight: bold } /* Name.Entity */\\n.codehilite .ne { color: #D2413A; font-weight: bold } /* Name.Exception */\\n.codehilite .nf { color: #0000FF } /* Name.Function */\\n.codehilite .nl { color: #A0A000 } /* Name.Label */\\n.codehilite .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */\\n.codehilite .nt { color: #008000; font-weight: bold } /* Name.Tag */\\n.codehilite .nv { color: #19177C } /* Name.Variable */\\n.codehilite .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */\\n.codehilite .w { color: #bbbbbb } /* Text.Whitespace */\\n.codehilite .mb { color: #666666 } /* Literal.Number.Bin */\\n.codehilite .mf { color: #666666 } /* Literal.Number.Float */\\n.codehilite .mh { color: #666666 } /* Literal.Number.Hex */\\n.codehilite .mi { color: #666666 } /* Literal.Number.Integer */\\n.codehilite .mo { color: #666666 } /* Literal.Number.Oct */\\n.codehilite .sa { color: #BA2121 } /* Literal.String.Affix */\\n.codehilite .sb { color: #BA2121 } /* Literal.String.Backtick */\\n.codehilite .sc { color: #BA2121 } /* Literal.String.Char */\\n.codehilite .dl { color: #BA2121 } /* Literal.String.Delimiter */\\n.codehilite .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\\n.codehilite .s2 { color: #BA2121 } /* Literal.String.Double */\\n.codehilite .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\\n.codehilite .sh { color: #BA2121 } /* Literal.String.Heredoc */\\n.codehilite .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\\n.codehilite .sx { color: #008000 } /* Literal.String.Other */\\n.codehilite .sr { color: #BB6688 } /* Literal.String.Regex */\\n.codehilite .s1 { color: #BA2121 } /* Literal.String.Single */\\n.codehilite .ss { color: #19177C } /* Literal.String.Symbol */\\n.codehilite .bp { color: #008000 } /* Name.Builtin.Pseudo */\\n.codehilite .fm { color: #0000FF } /* Name.Function.Magic */\\n.codehilite .vc { color: #19177C } /* Name.Variable.Class */\\n.codehilite .vg { color: #19177C } /* Name.Variable.Global */\\n.codehilite .vi { color: #19177C } /* Name.Variable.Instance */\\n.codehilite .vm { color: #19177C } /* Name.Variable.Magic */\\n.codehilite .il { color: #666666 } /* Literal.Number.Integer.Long */\\n\\n.markdown h1 { margin-block-start: 0.34em }\\n.markdown h2 { margin-block-start: 0.42em }\\n.markdown h3 { margin-block-start: 0.5em }\\n.markdown h4 { margin-block-start: 0.67em }\\n.markdown h5 { margin-block-start: 0.84em }\\n.markdown h6 { margin-block-start: 1.17em }\\n.markdown ul { padding-inline-start: 2em }\\n.markdown ol { padding-inline-start: 2em }\\n.markdown strong { font-weight: 600 }\\n.markdown a { color: -webkit-link }\\n.markdown a { color: -moz-hyperlinkText }\\n\");\n", - " },\n", - " function(Bokeh) {\n", - " /* BEGIN bokeh.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " const bokeh = factory();\n", - " if (root.Bokeh === undefined) {\n", - " root.Bokeh = bokeh;\n", - " }\n", - " const Bokeh = root.Bokeh;\n", - " Bokeh[bokeh.version] = bokeh;\n", - " })(this, function() {\n", - " var define;\n", - " var parent_require = typeof require === \"function\" && require\n", - " return (function(modules, entry, aliases, externals) {\n", - " if (aliases === undefined) aliases = {};\n", - " if (externals === undefined) externals = {};\n", - "\n", - " var cache = {};\n", - "\n", - " var normalize = function(name) {\n", - " if (typeof name === \"number\")\n", - " return name;\n", - "\n", - " if (name === \"bokehjs\")\n", - " return entry;\n", - "\n", - " var prefix = \"@bokehjs/\"\n", - " if (name.slice(0, prefix.length) === prefix)\n", - " name = name.slice(prefix.length)\n", - "\n", - " var alias = aliases[name]\n", - " if (alias != null)\n", - " return alias;\n", - "\n", - " var trailing = name.length > 0 && name[name.lenght-1] === \"/\";\n", - " var index = aliases[name + (trailing ? \"\" : \"/\") + \"index\"];\n", - " if (index != null)\n", - " return index;\n", - "\n", - " return name;\n", - " }\n", - "\n", - " var require = function(name) {\n", - " var mod = cache[name];\n", - " if (!mod) {\n", - " var id = normalize(name);\n", - "\n", - " mod = cache[id];\n", - " if (!mod) {\n", - " if (!modules[id]) {\n", - " if (externals[id] === false || (externals[id] == true && parent_require)) {\n", - " try {\n", - " mod = {exports: externals[id] ? parent_require(id) : {}};\n", - " cache[id] = cache[name] = mod;\n", - " return mod.exports;\n", - " } catch (e) {}\n", - " }\n", - "\n", - " var err = new Error(\"Cannot find module '\" + name + \"'\");\n", - " err.code = 'MODULE_NOT_FOUND';\n", - " throw err;\n", - " }\n", - "\n", - " mod = {exports: {}};\n", - " cache[id] = cache[name] = mod;\n", - " modules[id].call(mod.exports, require, mod, mod.exports);\n", - " } else\n", - " cache[name] = mod;\n", - " }\n", - "\n", - " return mod.exports;\n", - " }\n", - "\n", - " var main = require(entry);\n", - " main.require = require;\n", - "\n", - " if (typeof Proxy !== \"undefined\") {\n", - " // allow Bokeh.loader[\"@bokehjs/module/name\"] syntax\n", - " main.loader = new Proxy({}, {\n", - " get: function(_obj, module) {\n", - " return require(module);\n", - " }\n", - " });\n", - " }\n", - "\n", - " main.register_plugin = function(plugin_modules, plugin_entry, plugin_aliases, plugin_externals) {\n", - " if (plugin_aliases === undefined) plugin_aliases = {};\n", - " if (plugin_externals === undefined) plugin_externals = {};\n", - "\n", - " for (var name in plugin_modules) {\n", - " modules[name] = plugin_modules[name];\n", - " }\n", - "\n", - " for (var name in plugin_aliases) {\n", - " aliases[name] = plugin_aliases[name];\n", - " }\n", - "\n", - " for (var name in plugin_externals) {\n", - " externals[name] = plugin_externals[name];\n", - " }\n", - "\n", - " var plugin = require(plugin_entry);\n", - "\n", - " for (var name in plugin) {\n", - " main[name] = plugin[name];\n", - " }\n", - "\n", - " return plugin;\n", - " }\n", - "\n", - " return main;\n", - " })\n", - " ([\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0}),e(1).__exportStar(e(2),_)},\n", - " function _(t,e,n){\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */\n", - " Object.defineProperty(n,\"__esModule\",{value:!0});var r=function(t,e){return(r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n])})(t,e)};function o(t){var e=\"function\"==typeof Symbol&&Symbol.iterator,n=e&&t[e],r=0;if(n)return n.call(t);if(t&&\"number\"==typeof t.length)return{next:function(){return t&&r>=t.length&&(t=void 0),{value:t&&t[r++],done:!t}}};throw new TypeError(e?\"Object is not iterable.\":\"Symbol.iterator is not defined.\")}function a(t,e){var n=\"function\"==typeof Symbol&&t[Symbol.iterator];if(!n)return t;var r,o,a=n.call(t),i=[];try{for(;(void 0===e||e-- >0)&&!(r=a.next()).done;)i.push(r.value)}catch(t){o={error:t}}finally{try{r&&!r.done&&(n=a.return)&&n.call(a)}finally{if(o)throw o.error}}return i}function i(t){return this instanceof i?(this.v=t,this):new i(t)}n.__extends=function(t,e){function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)},n.__assign=function(){return n.__assign=Object.assign||function(t){for(var e,n=1,r=arguments.length;n=0;u--)(o=t[u])&&(i=(a<3?o(i):a>3?o(e,n,i):o(e,n))||i);return a>3&&i&&Object.defineProperty(e,n,i),i},n.__param=function(t,e){return function(n,r){e(n,r,t)}},n.__metadata=function(t,e){if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.metadata)return Reflect.metadata(t,e)},n.__awaiter=function(t,e,n,r){return new(n||(n=Promise))((function(o,a){function i(t){try{c(r.next(t))}catch(t){a(t)}}function u(t){try{c(r.throw(t))}catch(t){a(t)}}function c(t){var e;t.done?o(t.value):(e=t.value,e instanceof n?e:new n((function(t){t(e)}))).then(i,u)}c((r=r.apply(t,e||[])).next())}))},n.__generator=function(t,e){var n,r,o,a,i={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return a={next:u(0),throw:u(1),return:u(2)},\"function\"==typeof Symbol&&(a[Symbol.iterator]=function(){return this}),a;function u(a){return function(u){return function(a){if(n)throw new TypeError(\"Generator is already executing.\");for(;i;)try{if(n=1,r&&(o=2&a[0]?r.return:a[0]?r.throw||((o=r.return)&&o.call(r),0):r.next)&&!(o=o.call(r,a[1])).done)return o;switch(r=0,o&&(a=[2&a[0],o.value]),a[0]){case 0:case 1:o=a;break;case 4:return i.label++,{value:a[1],done:!1};case 5:i.label++,r=a[1],a=[0];continue;case 7:a=i.ops.pop(),i.trys.pop();continue;default:if(!(o=i.trys,(o=o.length>0&&o[o.length-1])||6!==a[0]&&2!==a[0])){i=0;continue}if(3===a[0]&&(!o||a[1]>o[0]&&a[1]1||c(t,e)}))})}function c(t,e){try{(n=o[t](e)).value instanceof i?Promise.resolve(n.value.v).then(f,l):s(a[0][2],n)}catch(t){s(a[0][3],t)}var n}function f(t){c(\"next\",t)}function l(t){c(\"throw\",t)}function s(t,e){t(e),a.shift(),a.length&&c(a[0][0],a[0][1])}},n.__asyncDelegator=function(t){var e,n;return e={},r(\"next\"),r(\"throw\",(function(t){throw t})),r(\"return\"),e[Symbol.iterator]=function(){return this},e;function r(r,o){e[r]=t[r]?function(e){return(n=!n)?{value:i(t[r](e)),done:\"return\"===r}:o?o(e):e}:o}},n.__asyncValues=function(t){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var e,n=t[Symbol.asyncIterator];return n?n.call(t):(t=o(t),e={},r(\"next\"),r(\"throw\"),r(\"return\"),e[Symbol.asyncIterator]=function(){return this},e);function r(n){e[n]=t[n]&&function(e){return new Promise((function(r,o){(function(t,e,n,r){Promise.resolve(r).then((function(e){t({value:e,done:n})}),e)})(r,o,(e=t[n](e)).done,e.value)}))}}},n.__makeTemplateObject=function(t,e){return Object.defineProperty?Object.defineProperty(t,\"raw\",{value:e}):t.raw=e,t},n.__importStar=function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var n in t)Object.hasOwnProperty.call(t,n)&&(e[n]=t[n]);return e.default=t,e},n.__importDefault=function(t){return t&&t.__esModule?t:{default:t}},n.__classPrivateFieldGet=function(t,e){if(!e.has(t))throw new TypeError(\"attempted to get private field on non-instance\");return e.get(t)},n.__classPrivateFieldSet=function(t,e,n){if(!e.has(t))throw new TypeError(\"attempted to set private field on non-instance\");return e.set(t,n),n}},\n", - " function _(e,r,t){var l=this&&this.__importStar||function(e){if(e&&e.__esModule)return e;var r={};if(null!=e)for(var t in e)Object.hasOwnProperty.call(e,t)&&(r[t]=e[t]);return r.default=e,r};Object.defineProperty(t,\"__esModule\",{value:!0});var o=e(3);t.version=o.version;var s=e(4);t.index=s.index,t.embed=l(e(4)),t.protocol=l(e(367)),t._testing=l(e(368));var n=e(72);t.logger=n.logger,t.set_log_level=n.set_log_level;var a=e(22);t.settings=a.settings;var i=e(7);t.Models=i.Models;var v=e(5);t.documents=v.documents;var _=e(369);t.safely=_.safely},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.version=\"2.1.1\"},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(5),s=e(72),d=e(24),r=e(8),_=e(15),c=e(358),i=e(360),a=e(359);var u=e(358);n.add_document_standalone=u.add_document_standalone,n.index=u.index;var l=e(360);n.add_document_from_session=l.add_document_from_session;var m=e(365);n.embed_items_notebook=m.embed_items_notebook,n.kernels=m.kernels;var f=e(359);async function g(e,o,n,_){r.isString(e)&&(e=JSON.parse(d.unescape(e)));const u={};for(const o in e){const n=e[o];u[o]=t.Document.from_json(n)}const l=[];for(const e of o){const o=a._resolve_element(e),t=a._resolve_root_elements(e);if(null!=e.docid)l.push(await c.add_document_standalone(u[e.docid],o,t,e.use_for_title));else{if(null==e.token)throw new Error(\"Error rendering Bokeh items: either 'docid' or 'token' was expected.\");{const d=i._get_ws_url(n,_);s.logger.debug(\"embed: computed ws url: \"+d);try{l.push(await i.add_document_from_session(d,e.token,o,t,e.use_for_title)),console.log(\"Bokeh items were rendered successfully\")}catch(e){console.log(\"Error rendering Bokeh items:\",e)}}}}return l}n.BOKEH_ROOT=f.BOKEH_ROOT,n.embed_item=async function(e,o){const n={},t=d.uuid4();n[t]=e.doc,null==o&&(o=e.target_id);const s=document.getElementById(o);null!=s&&s.classList.add(a.BOKEH_ROOT);const r={roots:{[e.root_id]:o},root_ids:[e.root_id],docid:t},[c]=await _.defer(()=>g(n,[r]));return c},n.embed_items=async function(e,o,n,t){return await _.defer(()=>g(e,o,n,t))}},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(6),_),o.__exportStar(e(105),_)},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),n=e(7),r=e(3),i=e(72),_=e(291),a=e(13),l=e(14),c=e(16),h=e(27),d=e(9),f=o.__importStar(e(104)),u=e(25),m=e(8),g=e(245),p=e(76),w=e(71),v=e(105);class b{constructor(e){this.document=e,this.session=null,this.subscribed_models=new Set}send_event(e){const t=new v.MessageSentEvent(this.document,\"bokeh_event\",e.to_json());this.document._trigger_on_change(t)}trigger(e){for(const t of this.subscribed_models)null!=e.origin&&e.origin!=t||t._process_event(e)}}s.EventManager=b,b.__name__=\"EventManager\",s.documents=[],s.DEFAULT_TITLE=\"Bokeh Application\";class y{constructor(){s.documents.push(this),this._init_timestamp=Date.now(),this._title=s.DEFAULT_TITLE,this._roots=[],this._all_models=new Map,this._all_models_freeze_count=0,this._callbacks=new Map,this._message_callbacks=new Map,this.event_manager=new b(this),this.idle=new l.Signal0(this,\"idle\"),this._idle_roots=new WeakMap,this._interactive_timestamp=null,this._interactive_plot=null}get layoutables(){return this._roots.filter(e=>e instanceof g.LayoutDOM)}get is_idle(){for(const e of this.layoutables)if(!this._idle_roots.has(e))return!1;return!0}notify_idle(e){this._idle_roots.set(e,!0),this.is_idle&&(i.logger.info(`document idle at ${Date.now()-this._init_timestamp} ms`),this.idle.emit())}clear(){this._push_all_models_freeze();try{for(;this._roots.length>0;)this.remove_root(this._roots[0])}finally{this._pop_all_models_freeze()}}interactive_start(e){null==this._interactive_plot&&(this._interactive_plot=e,this._interactive_plot.trigger_event(new _.LODStart)),this._interactive_timestamp=Date.now()}interactive_stop(e){null!=this._interactive_plot&&this._interactive_plot.id===e.id&&this._interactive_plot.trigger_event(new _.LODEnd),this._interactive_plot=null,this._interactive_timestamp=null}interactive_duration(){return null==this._interactive_timestamp?-1:Date.now()-this._interactive_timestamp}destructively_move(e){if(e===this)throw new Error(\"Attempted to overwrite a document with itself\");e.clear();const t=d.copy(this._roots);this.clear();for(const e of t)if(null!=e.document)throw new Error(\"Somehow we didn't detach \"+e);if(0!=this._all_models.size)throw new Error(\"this._all_models still had stuff in it: \"+this._all_models);for(const s of t)e.add_root(s);e.set_title(this._title)}_push_all_models_freeze(){this._all_models_freeze_count+=1}_pop_all_models_freeze(){this._all_models_freeze_count-=1,0===this._all_models_freeze_count&&this._recompute_all_models()}_invalidate_all_models(){i.logger.debug(\"invalidating document models\"),0===this._all_models_freeze_count&&this._recompute_all_models()}_recompute_all_models(){let e=new Set;for(const t of this._roots)e=f.union(e,t.references());const t=new Set(this._all_models.values()),s=f.difference(t,e),o=f.difference(e,t),n=new Map;for(const t of e)n.set(t.id,t);for(const e of s)e.detach_document();for(const e of o)e.attach_document(this);this._all_models=n}roots(){return this._roots}add_root(e,t){if(i.logger.debug(\"Adding root: \"+e),!d.includes(this._roots,e)){this._push_all_models_freeze();try{this._roots.push(e)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootAddedEvent(this,e,t))}}remove_root(e,t){const s=this._roots.indexOf(e);if(!(s<0)){this._push_all_models_freeze();try{this._roots.splice(s,1)}finally{this._pop_all_models_freeze()}this._trigger_on_change(new v.RootRemovedEvent(this,e,t))}}title(){return this._title}set_title(e,t){e!==this._title&&(this._title=e,this._trigger_on_change(new v.TitleChangedEvent(this,e,t)))}get_model_by_id(e){var t;return null!==(t=this._all_models.get(e))&&void 0!==t?t:null}get_model_by_name(e){const t=[];for(const s of this._all_models.values())s instanceof w.Model&&s.name==e&&t.push(s);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(`Multiple models are named '${e}'`)}}on_message(e,t){const s=this._message_callbacks.get(e);null==s?this._message_callbacks.set(e,new Set([t])):s.add(t)}remove_on_message(e,t){var s;null===(s=this._message_callbacks.get(e))||void 0===s||s.delete(t)}_trigger_on_message(e,t){const s=this._message_callbacks.get(e);if(null!=s)for(const e of s)e(t)}on_change(e,t=!1){this._callbacks.has(e)||this._callbacks.set(e,t)}remove_on_change(e){this._callbacks.delete(e)}_trigger_on_change(e){for(const[t,s]of this._callbacks)if(!s&&e instanceof v.DocumentEventBatch)for(const s of e.events)t(s);else t(e)}_notify_change(e,t,s,o,n){this._trigger_on_change(new v.ModelChangedEvent(this,e,t,s,o,null==n?void 0:n.setter_id,null==n?void 0:n.hint))}static _references_json(e,t=!0){const s=[];for(const o of e){const e=o.struct();e.attributes=o.attributes_as_json(t),delete e.attributes.id,s.push(e)}return s}static _instantiate_object(e,t,s){const o=Object.assign(Object.assign({},s),{id:e,__deferred__:!0});return new(n.Models(t))(o)}static _instantiate_references_json(e,t){const s=new Map;for(const o of e){const e=o.id,n=o.type,r=o.attributes||{};let i=t.get(e);null==i&&(i=y._instantiate_object(e,n,r),null!=o.subtype&&i.set_subtype(o.subtype)),s.set(i.id,i)}return s}static _resolve_refs(e,t,s,o){function n(e){if(c.is_ref(e)){if(t.has(e.id))return t.get(e.id);if(s.has(e.id))return s.get(e.id);throw new Error(`reference ${JSON.stringify(e)} isn't known (not in Document?)`)}return h.is_NDArray_ref(e)?h.decode_NDArray(e,o):m.isArray(e)?function(e){const t=[];for(const s of e)t.push(n(s));return t}(e):m.isPlainObject(e)?function(e){const t={};for(const s in e){const o=e[s];t[s]=n(o)}return t}(e):e}return n(e)}static _initialize_references_json(e,t,s,o){const n=new Map;for(const{id:r,attributes:i}of e){const e=!t.has(r),_=e?s.get(r):t.get(r),a=y._resolve_refs(i,t,s,o);_.setv(a,{silent:!0}),n.set(r,{instance:_,is_new:e})}const r=[],i=new Set;function _(e){if(e instanceof a.HasProps){if(n.has(e.id)&&!i.has(e.id)){i.add(e.id);const{instance:t,is_new:s}=n.get(e.id),{attributes:o}=t;for(const e in o)_(o[e]);s&&(t.finalize(),r.push(t))}}else if(m.isArray(e))for(const t of e)_(t);else if(m.isPlainObject(e))for(const t in e)_(e[t])}for(const e of n.values())_(e.instance);for(const e of r)e.connect_signals()}static _event_for_attribute_change(e,t,s,o,n){if(o.get_model_by_id(e.id).property(t).syncable){const r={kind:\"ModelChanged\",model:{id:e.id},attr:t,new:s};return a.HasProps._json_record_references(o,s,n,{recursive:!0}),r}return null}static _events_to_sync_objects(e,t,s,o){const n=Object.keys(e.attributes),r=Object.keys(t.attributes),_=d.difference(n,r),a=d.difference(r,n),l=d.intersection(n,r),c=[];for(const e of _)i.logger.warn(`Server sent key ${e} but we don't seem to have it in our JSON`);for(const n of a){const r=t.attributes[n];c.push(y._event_for_attribute_change(e,n,r,s,o))}for(const n of l){const r=e.attributes[n],i=t.attributes[n];null==r&&null==i||(null==r||null==i?c.push(y._event_for_attribute_change(e,n,i,s,o)):u.isEqual(r,i)||c.push(y._event_for_attribute_change(e,n,i,s,o)))}return c.filter(e=>null!=e)}static _compute_patch_since_json(e,t){const s=t.to_json(!1);function o(e){const t=new Map;for(const s of e.roots.references)t.set(s.id,s);return t}const n=o(e),r=new Map,i=[];for(const t of e.roots.root_ids)r.set(t,n.get(t)),i.push(t);const _=o(s),a=new Map,l=[];for(const e of s.roots.root_ids)a.set(e,_.get(e)),l.push(e);if(i.sort(),l.sort(),d.difference(i,l).length>0||d.difference(l,i).length>0)throw new Error(\"Not implemented: computing add/remove of document roots\");const c=new Set;let h=[];for(const e of t._all_models.keys())if(n.has(e)){const s=y._events_to_sync_objects(n.get(e),_.get(e),t,c);h=h.concat(s)}return{references:y._references_json(c,!1),events:h}}to_json_string(e=!0){return JSON.stringify(this.to_json(e))}to_json(e=!0){const t=this._roots.map(e=>e.id),s=this._all_models.values();return{version:r.version,title:this._title,roots:{root_ids:t,references:y._references_json(s,e)}}}static from_json_string(e){const t=JSON.parse(e);return y.from_json(t)}static from_json(e){i.logger.debug(\"Creating Document from JSON\");const t=e.version,s=-1!==t.indexOf(\"+\")||-1!==t.indexOf(\"-\"),o=`Library versions: JS (${r.version}) / Python (${t})`;s||r.version.replace(/-(dev|rc)\\./,\"$1\")==t?i.logger.debug(o):(i.logger.warn(\"JS/Python version mismatch\"),i.logger.warn(o));const n=e.roots,_=n.root_ids,a=n.references,l=y._instantiate_references_json(a,new Map);y._initialize_references_json(a,new Map,l,new Map);const c=new y;for(const e of _){const t=l.get(e);null!=t&&c.add_root(t)}return c.set_title(e.title),c}replace_with_json(e){y.from_json(e).destructively_move(this)}create_json_patch_string(e){return JSON.stringify(this.create_json_patch(e))}create_json_patch(e){const t=new Set,s=[];for(const o of e){if(o.document!==this)throw i.logger.warn(\"Cannot create a patch using events from a different document, event had \",o.document,\" we are \",this),new Error(\"Cannot create a patch using events from a different document\");s.push(o.json(t))}return{events:s,references:y._references_json(t)}}apply_json_patch(e,t=new Map,s){const o=e.references,n=e.events,r=y._instantiate_references_json(o,this._all_models);t instanceof Map||(t=new Map(t));for(const e of n)switch(e.kind){case\"RootAdded\":case\"RootRemoved\":case\"ModelChanged\":{const t=e.model.id,s=this._all_models.get(t);if(null!=s)r.set(t,s);else if(!r.has(t))throw i.logger.warn(`Got an event for unknown model ${e.model}\"`),new Error(\"event model wasn't known\");break}}const _=new Map,a=new Map;for(const[e,t]of r)this._all_models.has(e)?_.set(e,t):a.set(e,t);y._initialize_references_json(o,_,a,t);for(const e of n)switch(e.kind){case\"MessageSent\":{const{msg_type:s,msg_data:o}=e;let n;if(void 0===o){if(1!=t.size)throw new Error(\"expected exactly one buffer\");{const[[,e]]=t;n=e}}else n=y._resolve_refs(o,_,a,t);this._trigger_on_message(s,n);break}case\"ModelChanged\":{const o=e.model.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot apply patch to ${o} which is not in the document`);const r=e.attr,i=y._resolve_refs(e.new,_,a,t);n.setv({[r]:i},{setter_id:s});break}case\"ColumnDataChanged\":{const o=e.column_source.id,n=this._all_models.get(o);if(null==n)throw new Error(`Cannot stream to ${o} which is not in the document`);const r=y._resolve_refs(e.new,new Map,new Map,t);if(null!=e.cols)for(const e in n.data)e in r||(r[e]=n.data[e]);n.setv({data:r},{setter_id:s,check_eq:!1});break}case\"ColumnsStreamed\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot stream to ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot stream to non-ColumnDataSource\");const n=e.data,r=e.rollover;o.stream(n,r,s);break}case\"ColumnsPatched\":{const t=e.column_source.id,o=this._all_models.get(t);if(null==o)throw new Error(`Cannot patch ${t} which is not in the document`);if(!(o instanceof p.ColumnDataSource))throw new Error(\"Cannot patch non-ColumnDataSource\");const n=e.patches;o.patch(n,s);break}case\"RootAdded\":{const t=e.model.id,o=r.get(t);this.add_root(o,s);break}case\"RootRemoved\":{const t=e.model.id,o=r.get(t);this.remove_root(o,s);break}case\"TitleChanged\":this.set_title(e.title,s);break;default:throw new Error(\"Unknown patch event \"+JSON.stringify(e))}}}s.Document=y,y.__name__=\"Document\"},\n", - " function _(e,r,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1),t=e(8),d=e(13);s.overrides={};const i=new Map;s.Models=e=>{const r=s.overrides[e]||i.get(e);if(null==r)throw new Error(`Model '${e}' does not exist. This could be due to a widget or a custom model not being registered before first usage.`);return r},s.Models.register=(e,r)=>{s.overrides[e]=r},s.Models.unregister=e=>{delete s.overrides[e]},s.Models.register_models=(e,r=!1,s)=>{var o;if(null!=e)for(const l in e){const n=e[l];if(o=n,t.isObject(o)&&o.prototype instanceof d.HasProps){const e=n.__qualified__;r||!i.has(e)?i.set(e,n):null!=s?s(e):console.warn(`Model '${e}' was already registered`)}}},s.register_models=s.Models.register_models,s.Models.registered_names=()=>Array.from(i.keys());const l=o.__importStar(e(29));s.register_models(l)},\n", - " function _(n,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const e=n(9),i=Object.prototype.toString;function o(n){return\"[object Number]\"===i.call(n)}function c(n){const t=typeof n;return\"function\"===t||\"object\"===t&&!!n}r.isBoolean=function(n){return!0===n||!1===n||\"[object Boolean]\"===i.call(n)},r.isNumber=o,r.isInteger=function(n){return o(n)&&Number.isInteger(n)},r.isString=function(n){return\"[object String]\"===i.call(n)},r.isFunction=function(n){return\"[object Function]\"===i.call(n)},r.isArray=function(n){return Array.isArray(n)},r.isArrayOf=function(n,t){return e.every(n,t)},r.isArrayableOf=function(n,t){for(let r=0,e=n.length;r0,\"'step' must be a positive number\"),null==t&&(t=n,n=0);const{max:r,ceil:i,abs:u}=Math,c=n<=t?e:-e,f=r(i(u(t-n)/e),0),s=Array(f);for(let t=0;t=0?t:n.length+t]},e.zip=function(...n){if(0==n.length)return[];const t=i.min(n.map(n=>n.length)),e=n.length,r=new Array(t);for(let o=0;on.length)),r=Array(e);for(let n=0;nn[t])},e.argmax=function(n){return i.max_by(l(n.length),t=>n[t])},e.sort_by=function(n,t){const e=n.map((n,e)=>({value:n,index:e,key:t(n)}));return e.sort((n,t)=>{const e=n.key,r=t.key;if(e!==r){if(e>r||void 0===e)return 1;if(en.value)},e.uniq=a,e.uniq_by=function(n,t){const e=[],r=[];for(const o of n){const n=t(o);s(r,n)||(r.push(n),e.push(o))}return e},e.union=function(...n){return a(f(n))},e.intersection=function(n,...t){const e=[];n:for(const r of n)if(!s(e,r)){for(const n of t)if(!s(n,r))continue n;e.push(r)}return e},e.difference=function(n,...t){const e=f(t);return n.filter(n=>!s(e,n))},e.remove_at=function(n,t){const e=c(n);return e.splice(t,1),e},e.remove_by=function(n,t){for(let e=0;e2*Math.PI;)n-=2*Math.PI;return n}function o(n,t){return e(n-t)}function a(){return Math.random()}Object.defineProperty(r,\"__esModule\",{value:!0}),r.angle_norm=e,r.angle_dist=o,r.angle_between=function(n,t,r,a){const u=o(t,r);if(0==u)return!1;if(u==2*Math.PI)return!0;const f=e(n),i=o(t,f)<=u&&o(f,r)<=u;return 0==a?i:!i},r.random=a,r.randomIn=function(n,t){return null==t&&(t=n,n=0),n+Math.floor(Math.random()*(t-n+1))},r.atan2=function(n,t){return Math.atan2(t[1]-n[1],t[0]-n[0])},r.rnorm=function(n,t){let r,e;for(;r=a(),e=a(),e=(2*e-1)*Math.sqrt(1/Math.E*2),!(-4*r*r*Math.log(r)>=e*e););let o=e/r;return o=n+t*o,o},r.clamp=function(n,t,r){return n>r?r:no&&(t=o),null==e||e>o-t?e=o-t:e<0&&(e=0);const u=o-e+r.length,i=new n.constructor(u);let f=0;for(;f0?0:r-1;for(;o>=0&&oe&&(e=t);return e},e.max_by=function(n,t){if(0==n.length)throw new Error(\"max_by() called with an empty array\");let e=n[0],r=t(e);for(let o=1,u=n.length;or&&(e=u,r=i)}return e},e.sum=function(n){let t=0;for(let e=0,r=n.length;et[r]=n+e,0),t},e.every=function(n,t){for(let e=0,r=n.length;ee[t];for(const[e,{type:t,default_value:r,options:n}]of u.entries(this._props)){if(null==t)throw new Error(`undefined property type for ${this.type}.${e}`);this.properties[e]=new t(this,e,r,s(e),n)}null!==(t=s(\"__deferred__\"))&&void 0!==t&&t||(this.finalize(),this.connect_signals())}set type(e){console.warn(\"prototype.type = 'ModelName' is deprecated, use static __name__ instead\"),this.constructor.__name__=e}get type(){return this.constructor.__qualified__}static get __qualified__(){const{__module__:e,__name__:t}=this;return null!=e?`${e}.${t}`:t}static init_HasProps(){this.prototype._props={},this.prototype._mixins=[],this.define({id:[o.String,()=>a.uniqueId()]})}static _fix_default(e,t){return void 0===e?void 0:h.isFunction(e)?e:h.isObject(e)?h.isArray(e)?()=>_.copy(e):()=>u.clone(e):()=>e}static define(e){for(const[t,s]of u.entries(e)){if(null!=this.prototype._props[t])throw new Error(`attempted to redefine property '${this.prototype.type}.${t}'`);if(null!=this.prototype[t])throw new Error(`attempted to redefine attribute '${this.prototype.type}.${t}'`);Object.defineProperty(this.prototype,t,{get(){return this.properties[t].get_value()},set(e){return this.setv({[t]:e}),this},configurable:!1,enumerable:!0});const[e,r,n]=s,i={type:e,default_value:this._fix_default(r,t),options:n},o=u.clone(this.prototype._props);o[t]=i,this.prototype._props=o}}static internal(e){const t={};for(const[s,r]of u.entries(e)){const[e,n,i={}]=r;t[s]=[e,n,Object.assign(Object.assign({},i),{internal:!0})]}this.define(t)}static mixins(e){function t(e){switch(e){case\"line\":return c.LineVector;case\"fill\":return c.FillVector;case\"hatch\":return c.HatchVector;case\"text\":return c.TextVector;default:throw new Error(`Unknown property mixin kind '${e}'`)}}function s(e,t){const s={};for(const[r,n]of u.entries(t))s[e+r]=n;return s}function r(e){const[t]=Object.keys(e),[s]=t.split(\"_\",1);return s}h.isArray(e)||(e=[e]);const n={},i=[];for(const o of e)if(h.isString(o)){const[e,r=\"\"]=o.split(\":\"),c=t(e);i.push(o),u.extend(n,s(r,c))}else if(h.isArray(o)){const[e,t]=o;i.push(`${r(t)}:${e}`),u.extend(n,s(e,t))}else{const e=o;i.push(r(e)),u.extend(n,e)}this.define(n),this.prototype._mixins=[...this.prototype._mixins,...i]}static override(e){for(const[t,s]of u.entries(e)){const e=this._fix_default(s,t),r=this.prototype._props[t];if(null==r)throw new Error(`attempted to override nonexistent '${this.prototype.type}.${t}'`);const n=u.clone(this.prototype._props);n[t]=Object.assign(Object.assign({},r),{default_value:e}),this.prototype._props=n}}toString(){return`${this.type}(${this.id})`}property(e){const t=this.properties[e];if(null!=t)return t;throw new Error(`unknown property ${this.type}.${e}`)}get attributes(){const e={};for(const t of this)e[t.attr]=t.get_value();return e}finalize(){for(const e of this)null!=e.spec.transform&&this.connect(e.spec.transform.change,()=>this.transformchange.emit());this.initialize()}initialize(){}connect_signals(){}disconnect_signals(){n.Signal.disconnectReceiver(this)}destroy(){this.disconnect_signals(),this.destroyed.emit()}clone(){return new this.constructor(this.attributes)}_setv(e,t){const s=t.check_eq,r=t.silent,n=[],i=this._changing;this._changing=!0;for(const[t,r]of e)!1!==s&&f.isEqual(t.get_value(),r)||(t.set_value(r),n.push(t));if(!r){n.length>0&&(this._pending=!0);for(const e of n)e.change.emit()}if(!i){if(!r&&!t.no_change)for(;this._pending;)this._pending=!1,this.change.emit();this._pending=!1,this._changing=!1}}setv(e,t={}){if(u.isEmpty(e))return;const s=new Map,r=new Map;for(const t in e){if(!e.hasOwnProperty(t))continue;const n=this.properties[t];if(null==n)throw new Error(`property ${this.type}.${t} wasn't declared`);const i=e[t];s.set(n,i),r.set(n,n.get_value())}this._setv(s,t);const{document:n}=this;if(null!=n){const e=[];for(const[t,s]of r)e.push([t,s,t.get_value()]);for(const[,t,s]of e)if(this._needs_invalidate(t,s)){n._invalidate_all_models();break}!0!==t.silent&&this._push_changes(e,t)}}getv(e){return this.property(e).get_value()}ref(){return{id:this.id}}struct(){const e={type:this.type,id:this.id,attributes:{}};return null!=this._subtype&&(e.subtype=this._subtype),e}set_subtype(e){this._subtype=e}*[Symbol.iterator](){for(const e in this.properties)yield this.properties[e]}*syncable_properties(){for(const e of this)e.syncable&&(yield e)}serializable_attributes(){const e={};for(const t of this.syncable_properties())e[t.attr]=t.get_value();return e}static _value_to_json(e){if(e instanceof y)return e.ref();if(p.is_NDArray(e))return d.encode_NDArray(e);if(h.isArray(e)||h.isTypedArray(e)){const t=e.length,s=new Array(t);for(let r=0;rn.signal===t&&n.slot===e&&n.context===s)}const g=new Set;function f(n){0===g.size&&s.defer(a),g.add(n)}function a(){for(const n of g)l.remove_by(n,n=>null==n.signal);g.clear()}},\n", - " function _(n,e,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.delay=\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " function(n,e){return setTimeout(n,e)};const u=\"function\"==typeof requestAnimationFrame?requestAnimationFrame:setImmediate;t.defer=function(n){return new Promise(e=>{u(()=>e(n()))})},t.throttle=function(n,e,t={}){let u,o,i,r=null,l=0;const c=function(){l=!1===t.leading?0:Date.now(),r=null,i=n.apply(u,o),r||(u=o=null)};return function(){const a=Date.now();l||!1!==t.leading||(l=a);const f=e-(a-l);return u=this,o=arguments,f<=0||f>e?(r&&(clearTimeout(r),r=null),l=a,i=n.apply(u,o),r||(u=o=null)):r||!1===t.trailing||(r=setTimeout(c,f)),i}},t.once=function(n){let e,t=!1;return function(){return t||(t=!0,e=n()),e}}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(8),r=e(17);t.is_ref=function(e){if(i.isPlainObject(e)){const n=r.keys(e);return 1==n.length&&\"id\"==n[0]}return!1}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const c=e(9);function o(e){return Object.keys(e).length}n.keys=Object.keys,n.values=Object.values,n.entries=Object.entries,n.extend=Object.assign,n.clone=function(e){return Object.assign({},e)},n.merge=function(e,t){const n=Object.create(Object.prototype),o=c.concat([Object.keys(e),Object.keys(t)]);for(const s of o){const o=e.hasOwnProperty(s)?e[s]:[],r=t.hasOwnProperty(s)?t[s]:[];n[s]=c.union(o,r)}return n},n.size=o,n.isEmpty=function(e){return 0==o(e)},n.to_object=function(e){const t={};for(const[n,c]of e)t[n]=c;return t}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(14),s=i.__importStar(e(19)),r=e(9),l=e(12),o=e(20),_=e(8),c=e(22);function u(e){try{return JSON.stringify(e)}catch(t){return e.toString()}}function d(e){return _.isPlainObject(e)&&(void 0===e.value?0:1)+(void 0===e.field?0:1)+(void 0===e.expr?0:1)==1}n.isSpec=d;class p{constructor(e,t,n,i,s={}){var r,l;let o;if(this.obj=e,this.attr=t,this.default_value=n,this._dirty=!1,this.change=new a.Signal0(this.obj,\"change\"),this.internal=null!==(r=s.internal)&&void 0!==r&&r,this.optional=null!==(l=s.optional)&&void 0!==l&&l,void 0!==i)o=i,this._dirty=!0;else{const t=this._default_override();o=void 0!==t?t:void 0!==n?n(e):null}this._update(o)}get syncable(){return!this.internal}get_value(){return this.spec.value}set_value(e){this._update(e),this._dirty=!0}_default_override(){}get dirty(){return this._dirty}_update(e){null!=e&&this.validate(e),this.spec={value:e}}toString(){return`Prop(${this.obj}.${this.attr}, spec: ${u(this.spec)})`}normalize(e){return e}validate(e){if(!this.valid(e))throw new Error(`${this.obj.type}.${this.attr} given invalid value: ${u(e)}`)}valid(e){return!0}value(e=!0){if(void 0===this.spec.value)throw new Error(\"attempted to retrieve property value for property without value specification\");let t=this.normalize([this.spec.value])[0];return null!=this.spec.transform&&e&&(t=this.spec.transform.compute(t)),t}}n.Property=p,p.__name__=\"Property\";class S extends p{}n.Any=S,S.__name__=\"Any\";class h extends p{valid(e){return _.isArray(e)||e instanceof Float64Array}}n.Array=h,h.__name__=\"Array\";class m extends p{valid(e){return _.isBoolean(e)}}n.Boolean=m,m.__name__=\"Boolean\";class v extends p{valid(e){return _.isString(e)&&o.is_color(e)}}n.Color=v,v.__name__=\"Color\";class g extends p{}n.Instance=g,g.__name__=\"Instance\";class x extends p{valid(e){return _.isNumber(e)}}n.Number=x,x.__name__=\"Number\";class y extends x{valid(e){return _.isNumber(e)&&(0|e)==e}}n.Int=y,y.__name__=\"Int\";class f extends x{}n.Angle=f,f.__name__=\"Angle\";class P extends x{valid(e){return _.isNumber(e)&&0<=e&&e<=1}}n.Percent=P,P.__name__=\"Percent\";class A extends p{valid(e){return _.isString(e)}}n.String=A,A.__name__=\"String\";class L extends p{valid(e){return null===e||_.isString(e)}}n.NullString=L,L.__name__=\"NullString\";class T extends A{}n.FontSize=T,T.__name__=\"FontSize\";class b extends A{_default_override(){return c.settings.dev?\"Bokeh\":void 0}}n.Font=b,b.__name__=\"Font\";class M extends p{valid(e){return _.isString(e)&&r.includes(this.enum_values,e)}}function B(e){return class extends M{get enum_values(){return e}}}n.EnumProperty=M,M.__name__=\"EnumProperty\",n.Enum=B;class C extends M{get enum_values(){return s.Direction}normalize(e){const t=new Uint8Array(e.length);for(let n=0;ne*Math.PI/180)),e=l.map(e,e=>-e),super.normalize(e)}}n.AngleSpec=q,q.__name__=\"AngleSpec\";class G extends J{}n.BooleanSpec=G,G.__name__=\"BooleanSpec\";class K extends J{}n.ColorSpec=K,K.__name__=\"ColorSpec\";class Q extends J{}n.CoordinateSpec=Q,Q.__name__=\"CoordinateSpec\";class W extends J{}n.CoordinateSeqSpec=W,W.__name__=\"CoordinateSeqSpec\";class X extends V{get default_units(){return\"data\"}get valid_units(){return s.SpatialUnits}}n.DistanceSpec=X,X.__name__=\"DistanceSpec\";class Y extends J{}n.FontSizeSpec=Y,Y.__name__=\"FontSizeSpec\";class Z extends J{}n.MarkerSpec=Z,Z.__name__=\"MarkerSpec\";class ee extends J{}n.NumberSpec=ee,ee.__name__=\"NumberSpec\";class te extends J{}n.StringSpec=te,te.__name__=\"StringSpec\";class ne extends J{}n.NullStringSpec=ne,ne.__name__=\"NullStringSpec\"},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.Align=[\"start\",\"center\",\"end\"],o.Anchor=[\"top_left\",\"top_center\",\"top_right\",\"center_left\",\"center\",\"center_right\",\"bottom_left\",\"bottom_center\",\"bottom_right\"],o.AngleUnits=[\"deg\",\"rad\"],o.BoxOrigin=[\"corner\",\"center\"],o.ButtonType=[\"default\",\"primary\",\"success\",\"warning\",\"danger\"],o.CalendarPosition=[\"auto\",\"above\",\"below\"],o.Dimension=[\"width\",\"height\"],o.Dimensions=[\"width\",\"height\",\"both\"],o.Direction=[\"clock\",\"anticlock\"],o.Distribution=[\"uniform\",\"normal\"],o.FontStyle=[\"normal\",\"italic\",\"bold\",\"bold italic\"],o.HatchPatternType=[\"blank\",\"dot\",\"ring\",\"horizontal_line\",\"vertical_line\",\"cross\",\"horizontal_dash\",\"vertical_dash\",\"spiral\",\"right_diagonal_line\",\"left_diagonal_line\",\"diagonal_cross\",\"right_diagonal_dash\",\"left_diagonal_dash\",\"horizontal_wave\",\"vertical_wave\",\"criss_cross\",\" \",\".\",\"o\",\"-\",\"|\",\"+\",'\"',\":\",\"@\",\"/\",\"\\\\\",\"x\",\",\",\"`\",\"v\",\">\",\"*\"],o.HTTPMethod=[\"POST\",\"GET\"],o.HexTileOrientation=[\"pointytop\",\"flattop\"],o.HoverMode=[\"mouse\",\"hline\",\"vline\"],o.LatLon=[\"lat\",\"lon\"],o.LegendClickPolicy=[\"none\",\"hide\",\"mute\"],o.LegendLocation=o.Anchor,o.LineCap=[\"butt\",\"round\",\"square\"],o.LineJoin=[\"miter\",\"round\",\"bevel\"],o.LinePolicy=[\"prev\",\"next\",\"nearest\",\"interp\",\"none\"],o.Location=[\"above\",\"below\",\"left\",\"right\"],o.Logo=[\"normal\",\"grey\"],o.MarkerType=[\"asterisk\",\"circle\",\"circle_cross\",\"circle_dot\",\"circle_x\",\"circle_y\",\"cross\",\"dash\",\"diamond\",\"diamond_cross\",\"diamond_dot\",\"dot\",\"hex\",\"hex_dot\",\"inverted_triangle\",\"plus\",\"square\",\"square_cross\",\"square_dot\",\"square_pin\",\"square_x\",\"triangle\",\"triangle_dot\",\"triangle_pin\",\"x\",\"y\"],o.MutedPolicy=[\"show\",\"ignore\"],o.Orientation=[\"vertical\",\"horizontal\"],o.OutputBackend=[\"canvas\",\"svg\",\"webgl\"],o.PaddingUnits=[\"percent\",\"absolute\"],o.Place=[\"above\",\"below\",\"left\",\"right\",\"center\"],o.PointPolicy=[\"snap_to_data\",\"follow_mouse\",\"none\"],o.RadiusDimension=[\"x\",\"y\",\"max\",\"min\"],o.RenderLevel=[\"image\",\"underlay\",\"glyph\",\"guide\",\"annotation\",\"overlay\"],o.RenderMode=[\"canvas\",\"css\"],o.ResetPolicy=[\"standard\",\"event_only\"],o.RoundingFunction=[\"round\",\"nearest\",\"floor\",\"rounddown\",\"ceil\",\"roundup\"],o.SelectionMode=[\"replace\",\"append\",\"intersect\",\"subtract\"],o.Side=[\"above\",\"below\",\"left\",\"right\"],o.SizingMode=[\"stretch_width\",\"stretch_height\",\"stretch_both\",\"scale_width\",\"scale_height\",\"scale_both\",\"fixed\"],o.Sort=[\"ascending\",\"descending\"],o.SpatialUnits=[\"screen\",\"data\"],o.StartEnd=[\"start\",\"end\"],o.StepMode=[\"after\",\"before\",\"center\"],o.TapBehavior=[\"select\",\"inspect\"],o.TextAlign=[\"left\",\"right\",\"center\"],o.TextBaseline=[\"top\",\"middle\",\"bottom\",\"alphabetic\",\"hanging\",\"ideographic\"],o.TextureRepetition=[\"repeat\",\"repeat_x\",\"repeat_y\",\"no_repeat\"],o.TickLabelOrientation=[\"vertical\",\"horizontal\",\"parallel\",\"normal\"],o.TooltipAttachment=[\"horizontal\",\"vertical\",\"left\",\"right\",\"above\",\"below\"],o.UpdateMode=[\"replace\",\"append\"],o.VerticalAlign=[\"top\",\"middle\",\"bottom\"]},\n", - " function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=r(21),l=r(9);function s(r){const e=Number(r).toString(16);return 1==e.length?\"0\"+e:e}function o(r){if(0==(r+=\"\").indexOf(\"#\"))return r;if(n.is_svg_color(r))return n.svg_colors[r];if(0==r.indexOf(\"rgb\")){const e=r.replace(/^rgba?\\(|\\s+|\\)$/g,\"\").split(\",\");let t=e.slice(0,3).map(s).join(\"\");return 4==e.length&&(t+=s(Math.floor(255*parseFloat(e[3])))),\"#\"+t.slice(0,8)}return r}function a(r,e=1){if(!r)return[0,0,0,0];let t=o(r);t=t.replace(/ |#/g,\"\"),t.length<=4&&(t=t.replace(/(.)/g,\"$1$1\"));const n=t.match(/../g).map(r=>parseInt(r,16)/255);for(;n.length<3;)n.push(0);return n.length<4&&n.push(e),n.slice(0,4)}function c(r){let e;switch(r.substring(0,4)){case\"rgba\":e={start:\"rgba(\",len:4,alpha:!0};break;case\"rgb(\":e={start:\"rgb(\",len:3,alpha:!1};break;default:return!1}if(new RegExp(\".*?(\\\\.).*(,)\").test(r))return!1;const t=r.replace(e.start,\"\").replace(\")\",\"\").split(\",\").map(parseFloat);return t.length==e.len&&((!e.alpha||0<=t[3]&&t[3]<=1)&&!l.includes(t.slice(0,3).map(r=>0<=r&&r<=255),!1))}t.is_color=function(r){return n.is_svg_color(r.toLowerCase())||\"#\"==r.substring(0,1)||c(r)},t.rgb2hex=function(r,e,t){return`#${s(255&r)}${s(255&e)}${s(255&t)}`},t.color2hex=o,t.color2rgba=a,t.color2css=function(r,e=1){if(1==e)return r;{const[t,n,l,s]=a(r,e);return`rgba(${255*t},${255*n},${255*l},${s})`}},t.valid_rgb=c},\n", - " function _(e,F,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.svg_colors={indianred:\"#CD5C5C\",lightcoral:\"#F08080\",salmon:\"#FA8072\",darksalmon:\"#E9967A\",lightsalmon:\"#FFA07A\",crimson:\"#DC143C\",red:\"#FF0000\",firebrick:\"#B22222\",darkred:\"#8B0000\",pink:\"#FFC0CB\",lightpink:\"#FFB6C1\",hotpink:\"#FF69B4\",deeppink:\"#FF1493\",mediumvioletred:\"#C71585\",palevioletred:\"#DB7093\",coral:\"#FF7F50\",tomato:\"#FF6347\",orangered:\"#FF4500\",darkorange:\"#FF8C00\",orange:\"#FFA500\",gold:\"#FFD700\",yellow:\"#FFFF00\",lightyellow:\"#FFFFE0\",lemonchiffon:\"#FFFACD\",lightgoldenrodyellow:\"#FAFAD2\",papayawhip:\"#FFEFD5\",moccasin:\"#FFE4B5\",peachpuff:\"#FFDAB9\",palegoldenrod:\"#EEE8AA\",khaki:\"#F0E68C\",darkkhaki:\"#BDB76B\",lavender:\"#E6E6FA\",thistle:\"#D8BFD8\",plum:\"#DDA0DD\",violet:\"#EE82EE\",orchid:\"#DA70D6\",fuchsia:\"#FF00FF\",magenta:\"#FF00FF\",mediumorchid:\"#BA55D3\",mediumpurple:\"#9370DB\",blueviolet:\"#8A2BE2\",darkviolet:\"#9400D3\",darkorchid:\"#9932CC\",darkmagenta:\"#8B008B\",purple:\"#800080\",indigo:\"#4B0082\",slateblue:\"#6A5ACD\",darkslateblue:\"#483D8B\",mediumslateblue:\"#7B68EE\",greenyellow:\"#ADFF2F\",chartreuse:\"#7FFF00\",lawngreen:\"#7CFC00\",lime:\"#00FF00\",limegreen:\"#32CD32\",palegreen:\"#98FB98\",lightgreen:\"#90EE90\",mediumspringgreen:\"#00FA9A\",springgreen:\"#00FF7F\",mediumseagreen:\"#3CB371\",seagreen:\"#2E8B57\",forestgreen:\"#228B22\",green:\"#008000\",darkgreen:\"#006400\",yellowgreen:\"#9ACD32\",olivedrab:\"#6B8E23\",olive:\"#808000\",darkolivegreen:\"#556B2F\",mediumaquamarine:\"#66CDAA\",darkseagreen:\"#8FBC8F\",lightseagreen:\"#20B2AA\",darkcyan:\"#008B8B\",teal:\"#008080\",aqua:\"#00FFFF\",cyan:\"#00FFFF\",lightcyan:\"#E0FFFF\",paleturquoise:\"#AFEEEE\",aquamarine:\"#7FFFD4\",turquoise:\"#40E0D0\",mediumturquoise:\"#48D1CC\",darkturquoise:\"#00CED1\",cadetblue:\"#5F9EA0\",steelblue:\"#4682B4\",lightsteelblue:\"#B0C4DE\",powderblue:\"#B0E0E6\",lightblue:\"#ADD8E6\",skyblue:\"#87CEEB\",lightskyblue:\"#87CEFA\",deepskyblue:\"#00BFFF\",dodgerblue:\"#1E90FF\",cornflowerblue:\"#6495ED\",royalblue:\"#4169E1\",blue:\"#0000FF\",mediumblue:\"#0000CD\",darkblue:\"#00008B\",navy:\"#000080\",midnightblue:\"#191970\",cornsilk:\"#FFF8DC\",blanchedalmond:\"#FFEBCD\",bisque:\"#FFE4C4\",navajowhite:\"#FFDEAD\",wheat:\"#F5DEB3\",burlywood:\"#DEB887\",tan:\"#D2B48C\",rosybrown:\"#BC8F8F\",sandybrown:\"#F4A460\",goldenrod:\"#DAA520\",darkgoldenrod:\"#B8860B\",peru:\"#CD853F\",chocolate:\"#D2691E\",saddlebrown:\"#8B4513\",sienna:\"#A0522D\",brown:\"#A52A2A\",maroon:\"#800000\",white:\"#FFFFFF\",snow:\"#FFFAFA\",honeydew:\"#F0FFF0\",mintcream:\"#F5FFFA\",azure:\"#F0FFFF\",aliceblue:\"#F0F8FF\",ghostwhite:\"#F8F8FF\",whitesmoke:\"#F5F5F5\",seashell:\"#FFF5EE\",beige:\"#F5F5DC\",oldlace:\"#FDF5E6\",floralwhite:\"#FFFAF0\",ivory:\"#FFFFF0\",antiquewhite:\"#FAEBD7\",linen:\"#FAF0E6\",lavenderblush:\"#FFF0F5\",mistyrose:\"#FFE4E1\",gainsboro:\"#DCDCDC\",lightgray:\"#D3D3D3\",lightgrey:\"#D3D3D3\",silver:\"#C0C0C0\",darkgray:\"#A9A9A9\",darkgrey:\"#A9A9A9\",gray:\"#808080\",grey:\"#808080\",dimgray:\"#696969\",dimgrey:\"#696969\",lightslategray:\"#778899\",lightslategrey:\"#778899\",slategray:\"#708090\",slategrey:\"#708090\",darkslategray:\"#2F4F4F\",darkslategrey:\"#2F4F4F\",black:\"#000000\"},r.is_svg_color=function(e){return e in r.svg_colors}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});class n{constructor(){this._dev=!1}set dev(e){this._dev=e}get dev(){return this._dev}}s.Settings=n,n.__name__=\"Settings\",s.settings=new n},\n", - " function _(e,l,t){Object.defineProperty(t,\"__esModule\",{value:!0});const a=e(1).__importStar(e(18));t.Line={line_color:[a.Color,\"black\"],line_alpha:[a.Number,1],line_width:[a.Number,1],line_join:[a.LineJoin,\"bevel\"],line_cap:[a.LineCap,\"butt\"],line_dash:[a.Array,[]],line_dash_offset:[a.Number,0]},t.Fill={fill_color:[a.Color,\"gray\"],fill_alpha:[a.Number,1]},t.Hatch={hatch_color:[a.Color,\"black\"],hatch_alpha:[a.Number,1],hatch_scale:[a.Number,12],hatch_pattern:[a.NullString,null],hatch_weight:[a.Number,1],hatch_extra:[a.Any,{}]},t.Text={text_color:[a.Color,\"#444444\"],text_alpha:[a.Number,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSize,\"16px\"],text_font_style:[a.FontStyle,\"normal\"],text_align:[a.TextAlign,\"left\"],text_baseline:[a.TextBaseline,\"bottom\"],text_line_height:[a.Number,1.2]},t.LineScalar={line_color:[a.ColorScalar,\"black\"],line_alpha:[a.NumberScalar,1],line_width:[a.NumberScalar,1],line_join:[a.LineJoinScalar,\"bevel\"],line_cap:[a.LineCapScalar,\"butt\"],line_dash:[a.ArrayScalar,[]],line_dash_offset:[a.NumberScalar,0]},t.FillScalar={fill_color:[a.ColorScalar,\"gray\"],fill_alpha:[a.NumberScalar,1]},t.HatchScalar={hatch_color:[a.ColorScalar,\"black\"],hatch_alpha:[a.NumberScalar,1],hatch_scale:[a.NumberScalar,12],hatch_pattern:[a.NullStringScalar,null],hatch_weight:[a.NumberScalar,1],hatch_extra:[a.AnyScalar,{}]},t.TextScalar={text_color:[a.ColorScalar,\"#444444\"],text_alpha:[a.NumberScalar,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSizeScalar,\"16px\"],text_font_style:[a.FontStyleScalar,\"normal\"],text_align:[a.TextAlignScalar,\"left\"],text_baseline:[a.TextBaselineScalar,\"bottom\"],text_line_height:[a.NumberScalar,1.2]},t.LineVector={line_color:[a.ColorSpec,\"black\"],line_alpha:[a.NumberSpec,1],line_width:[a.NumberSpec,1],line_join:[a.LineJoin,\"bevel\"],line_cap:[a.LineCap,\"butt\"],line_dash:[a.Array,[]],line_dash_offset:[a.Number,0]},t.FillVector={fill_color:[a.ColorSpec,\"gray\"],fill_alpha:[a.NumberSpec,1]},t.HatchVector={hatch_color:[a.ColorSpec,\"black\"],hatch_alpha:[a.NumberSpec,1],hatch_scale:[a.NumberSpec,12],hatch_pattern:[a.NullStringSpec,null],hatch_weight:[a.NumberSpec,1],hatch_extra:[a.Any,{}]},t.TextVector={text_color:[a.ColorSpec,\"#444444\"],text_alpha:[a.NumberSpec,1],text_font:[a.Font,\"helvetica\"],text_font_size:[a.FontSizeSpec,\"16px\"],text_font_style:[a.FontStyle,\"normal\"],text_align:[a.TextAlign,\"left\"],text_baseline:[a.TextBaseline,\"bottom\"],text_line_height:[a.Number,1.2]}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(22);function u(){const t=new Array(32);for(let e=0;e<32;e++)t[e]=\"0123456789ABCDEF\".substr(Math.floor(16*Math.random()),1);return t[12]=\"4\",t[16]=\"0123456789ABCDEF\".substr(3&t[16].charCodeAt(0)|8,1),t.join(\"\")}r.startsWith=function(t,e,r=0){return t.substr(r,e.length)==e},r.uuid4=u;let s=1e3;r.uniqueId=function(t){const e=n.settings.dev?\"j\"+s++:u();return null!=t?`${t}-${e}`:e},r.escape=function(t){return t.replace(/(?:[&<>\"'`])/g,t=>{switch(t){case\"&\":return\"&\";case\"<\":return\"<\";case\">\":return\">\";case'\"':return\""\";case\"'\":return\"'\";case\"`\":return\"`\";default:return t}})},r.unescape=function(t){return t.replace(/&(amp|lt|gt|quot|#x27|#x60);/g,(t,e)=>{switch(e){case\"amp\":return\"&\";case\"lt\":return\"<\";case\"gt\":return\">\";case\"quot\":return'\"';case\"#x27\":return\"'\";case\"#x60\":return\"`\";default:return e}})},r.use_strict=function(t){return\"'use strict';\\n\"+t}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});\n", - " // (c) 2009-2015 Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors\n", - " // Underscore may be freely distributed under the MIT license.\n", - " const r=t(8),o=Object.prototype.toString;n.isEqual=function(t,e){return function t(e,n,c,u){if(e===n)return 0!==e||1/e==1/n;if(null==e||null==n)return e===n;const i=o.call(e);if(i!==o.call(n))return!1;switch(i){case\"[object RegExp]\":case\"[object String]\":return\"\"+e==\"\"+n;case\"[object Number]\":return+e!=+e?+n!=+n:0==+e?1/+e==1/n:+e==+n;case\"[object Date]\":case\"[object Boolean]\":return+e==+n}const s=\"[object Array]\"===i;if(!s){if(\"object\"!=typeof e||\"object\"!=typeof n)return!1;const t=e.constructor,o=n.constructor;if(t!==o&&!(r.isFunction(t)&&t instanceof t&&r.isFunction(o)&&o instanceof o)&&\"constructor\"in e&&\"constructor\"in n)return!1}u=u||[];let f=(c=c||[]).length;for(;f--;)if(c[f]===e)return u[f]===n;if(c.push(e),u.push(n),s){if(f=e.length,f!==n.length)return!1;for(;f--;)if(!t(e[f],n[f],c,u))return!1}else{const r=Object.keys(e);let o;if(f=r.length,Object.keys(n).length!==f)return!1;for(;f--;)if(o=r[f],!n.hasOwnProperty(o)||!t(e[o],n[o],c,u))return!1}return c.pop(),u.pop(),!0}(t,e)}},\n", - " function _(t,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(8),e=t(11),s=Symbol(\"__ndarray__\");class i extends Uint8Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint8\",this.shape=null!=r?r:[this.length]}}n.Uint8NDArray=i,i.__name__=\"Uint8NDArray\";class _ extends Int8Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int8\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int8NDArray=_,_.__name__=\"Int8NDArray\";class c extends Uint16Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint16\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Uint16NDArray=c,c.__name__=\"Uint16NDArray\";class h extends Int16Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int16\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int16NDArray=h,h.__name__=\"Int16NDArray\";class u extends Uint32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"uint32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Uint32NDArray=u,u.__name__=\"Uint32NDArray\";class y extends Int32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"int32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Int32NDArray=y,y.__name__=\"Int32NDArray\";class l extends Float32Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"float32\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}n.Float32NDArray=l,l.__name__=\"Float32NDArray\";class o extends Float64Array{constructor(t,r){super(t),this.__ndarray__=s,this.dtype=\"float64\",this.shape=null!=r?r:A(t)?t.shape:[this.length]}}function A(t){return a.isObject(t)&&t.__ndarray__==s}n.Float64NDArray=o,o.__name__=\"Float64NDArray\",n.is_NDArray=A,n.ndarray=function(t,r={}){let{dtype:n}=r;null==n&&(n=t instanceof ArrayBuffer||a.isArray(t)?\"float64\":(()=>{switch(!0){case t instanceof Uint8Array:return\"uint8\";case t instanceof Int8Array:return\"int8\";case t instanceof Uint16Array:return\"uint16\";case t instanceof Int16Array:return\"int16\";case t instanceof Uint32Array:return\"uint32\";case t instanceof Int32Array:return\"int32\";case t instanceof Float32Array:return\"float32\";case t instanceof Float64Array:return\"float64\";default:e.unreachable()}})());const{shape:s}=r;switch(n){case\"uint8\":return new i(t,s);case\"int8\":return new _(t,s);case\"uint16\":return new c(t,s);case\"int16\":return new h(t,s);case\"uint32\":return new u(t,s);case\"int32\":return new y(t,s);case\"float32\":return new l(t,s);case\"float64\":return new o(t,s)}}},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(8),f=e(28),_=n.__importStar(e(26));function o(e){const r=new Uint8Array(e),t=Array.from(r).map(e=>String.fromCharCode(e));return btoa(t.join(\"\"))}function s(e){const r=atob(e),t=r.length,n=new Uint8Array(t);for(let e=0,a=t;e{switch(a){case\"uint8\":return new _.Uint8NDArray(o,n);case\"int8\":return new _.Int8NDArray(o,n);case\"uint16\":return new _.Uint16NDArray(o,n);case\"int16\":return new _.Int16NDArray(o,n);case\"uint32\":return new _.Uint32NDArray(o,n);case\"int32\":return new _.Int32NDArray(o,n);case\"float32\":return new _.Float32NDArray(o,n);case\"float64\":return new _.Float64NDArray(o,n)}})();if(f!==t.BYTE_ORDER)switch(l.BYTES_PER_ELEMENT){case 2:i(l);break;case 4:u(l);break;case 8:c(l)}return l},t.encode_NDArray=function(e,r){const n={order:t.BYTE_ORDER,dtype:e.dtype,shape:e.shape};if(null!=r){const t=\"\"+r.size;return r.set(t,e.buffer),Object.assign({__buffer__:t},n)}{const r=o(e.buffer);return Object.assign({__ndarray__:r},n)}}},\n", - " function _(e,n,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.is_ie=(()=>{const e=\"undefined\"!=typeof navigator?navigator.userAgent:\"\";return e.indexOf(\"MSIE\")>=0||e.indexOf(\"Trident\")>0||e.indexOf(\"Edge\")>0})(),i.is_mobile=\"undefined\"!=typeof window&&(\"ontouchstart\"in window||navigator.maxTouchPoints>0),i.is_little_endian=(()=>{const e=new ArrayBuffer(4),n=new Uint8Array(e);new Uint32Array(e)[1]=168496141;let i=!0;return 10==n[4]&&11==n[5]&&12==n[6]&&13==n[7]&&(i=!1),i})()},\n", - " function _(t,_,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=t(1);e.__exportStar(t(30),r),e.__exportStar(t(149),r),e.__exportStar(t(176),r),e.__exportStar(t(180),r),e.__exportStar(t(194),r),e.__exportStar(t(198),r),e.__exportStar(t(204),r),e.__exportStar(t(208),r),e.__exportStar(t(238),r),e.__exportStar(t(241),r),e.__exportStar(t(243),r),e.__exportStar(t(260),r),e.__exportStar(t(123),r),e.__exportStar(t(266),r),e.__exportStar(t(270),r),e.__exportStar(t(297),r),e.__exportStar(t(298),r),e.__exportStar(t(299),r),e.__exportStar(t(300),r),e.__exportStar(t(301),r),e.__exportStar(t(306),r),e.__exportStar(t(308),r),e.__exportStar(t(319),r),e.__exportStar(t(323),r)},\n", - " function _(a,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});var r=a(31);o.Annotation=r.Annotation;var n=a(74);o.Arrow=n.Arrow;var t=a(75);o.ArrowHead=t.ArrowHead;var v=a(75);o.OpenHead=v.OpenHead;var l=a(75);o.NormalHead=l.NormalHead;var d=a(75);o.TeeHead=d.TeeHead;var i=a(75);o.VeeHead=i.VeeHead;var A=a(106);o.Band=A.Band;var H=a(107);o.BoxAnnotation=H.BoxAnnotation;var T=a(108);o.ColorBar=T.ColorBar;var p=a(133);o.Label=p.Label;var L=a(135);o.LabelSet=L.LabelSet;var b=a(136);o.Legend=b.Legend;var B=a(137);o.LegendItem=B.LegendItem;var S=a(139);o.PolyAnnotation=S.PolyAnnotation;var P=a(140);o.Slope=P.Slope;var g=a(141);o.Span=g.Span;var m=a(134);o.TextAnnotation=m.TextAnnotation;var w=a(142);o.Title=w.Title;var x=a(143);o.ToolbarPanel=x.ToolbarPanel;var s=a(144);o.Tooltip=s.Tooltip;var u=a(148);o.Whisker=u.Whisker},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importStar(t(32)),o=t(17),_=t(65),a=n.__importDefault(t(73));class r extends _.RendererView{get panel(){return this.layout}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.visible,()=>this.plot_view.request_layout())}styles(){return[...super.styles(),a.default]}get_size(){if(this.model.visible){const{width:t,height:e}=this._get_size();return{width:Math.round(t),height:Math.round(e)}}return{width:0,height:0}}_get_size(){throw new Error(\"not implemented\")}set_data(t){const e=this.model.materialize_dataspecs(t);if(o.extend(this,e),this.plot_model.use_map){const t=this;null!=t._x&&([t._x,t._y]=i.project_xy(t._x,t._y)),null!=t._xs&&([t._xs,t._ys]=i.project_xsys(t._xs,t._ys))}}get needs_clip(){return null==this.layout}serializable_state(){const t=super.serializable_state();return null==this.layout?t:Object.assign(Object.assign({},t),{bbox:this.layout.bbox.box})}}s.AnnotationView=r,r.__name__=\"AnnotationView\";class l extends _.Renderer{constructor(t){super(t)}static init_Annotation(){this.override({level:\"annotation\"})}}s.Annotation=l,l.__name__=\"Annotation\",l.init_Annotation()},\n", - " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),o=r.__importDefault(t(33)),a=r.__importDefault(t(34)),c=new a.default(\"GOOGLE\"),l=new a.default(\"WGS84\");e.wgs84_mercator=o.default(l,c);const u={lon:[-20026376.39,20026376.39],lat:[-20048966.1,20048966.1]},f={lon:[-180,180],lat:[-85.06,85.06]};function s(t,n){const r=Math.min(t.length,n.length),o=new Array(r),a=new Array(r);for(let c=0;c2?void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name?\"number\"==typeof r.z?[r.x,r.y,r.z].concat(t.splice(3)):[r.x,r.y,t[2]].concat(t.splice(3)):[r.x,r.y].concat(t.splice(2)):[r.x,r.y]):(o=a.default(e,n,t),2===(i=Object.keys(t)).length||i.forEach((function(r){if(void 0!==e.name&&\"geocent\"===e.name||void 0!==n.name&&\"geocent\"===n.name){if(\"x\"===r||\"y\"===r||\"z\"===r)return}else if(\"x\"===r||\"y\"===r)return;o[r]=t[r]})),o)}function u(e){return e instanceof o.default?e:e.oProj?e.oProj:o.default(e)}t.default=function(e,n,t){e=u(e);var r,o=!1;return void 0===n?(n=e,e=i,o=!0):(void 0!==n.x||Array.isArray(n))&&(t=n,n=e,e=i,o=!0),n=u(n),t?c(e,n,t):(r={forward:function(t){return c(e,n,t)},inverse:function(t){return c(n,e,t)}},o&&(r.oProj=n),r)}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const s=e(1),i=s.__importDefault(e(35)),u=s.__importDefault(e(46)),l=s.__importDefault(e(47)),o=e(55),r=s.__importDefault(e(57)),f=s.__importDefault(e(58)),d=s.__importDefault(e(42));function p(e,t){if(!(this instanceof p))return new p(e);t=t||function(e){if(e)throw e};var a=i.default(e);if(\"object\"==typeof a){var s=p.projections.get(a.projName);if(s){if(a.datumCode&&\"none\"!==a.datumCode){var l=d.default(r.default,a.datumCode);l&&(a.datum_params=l.towgs84?l.towgs84.split(\",\"):null,a.ellps=l.ellipse,a.datumName=l.datumName?l.datumName:a.datumCode)}a.k0=a.k0||1,a.axis=a.axis||\"enu\",a.ellps=a.ellps||\"wgs84\";var m=o.sphere(a.a,a.b,a.rf,a.ellps,a.sphere),n=o.eccentricity(m.a,m.b,m.rf,a.R_A),h=a.datum||f.default(a.datumCode,a.datum_params,m.a,m.b,n.es,n.ep2);u.default(this,a),u.default(this,s),this.a=m.a,this.b=m.b,this.rf=m.rf,this.sphere=m.sphere,this.es=n.es,this.e=n.e,this.ep2=n.ep2,this.datum=h,this.init(),t(null,this)}else t(e)}else t(e)}p.projections=l.default,p.projections.start(),a.default=p},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const u=t(1),n=u.__importDefault(t(36)),f=u.__importDefault(t(43)),i=u.__importDefault(t(38)),a=u.__importDefault(t(42));var o=[\"PROJECTEDCRS\",\"PROJCRS\",\"GEOGCS\",\"GEOCCS\",\"PROJCS\",\"LOCAL_CS\",\"GEODCRS\",\"GEODETICCRS\",\"GEODETICDATUM\",\"ENGCRS\",\"ENGINEERINGCRS\"];var l=[\"3857\",\"900913\",\"3785\",\"102113\"];r.default=function(t){if(!function(t){return\"string\"==typeof t}(t))return t;if(function(t){return t in n.default}(t))return n.default[t];if(function(t){return o.some((function(e){return t.indexOf(e)>-1}))}(t)){var e=f.default(t);if(function(t){var e=a.default(t,\"authority\");if(e){var r=a.default(e,\"epsg\");return r&&l.indexOf(r)>-1}}(e))return n.default[\"EPSG:3857\"];var r=function(t){var e=a.default(t,\"extension\");if(e)return a.default(e,\"proj4\")}(e);return r?i.default(r):e}return function(t){return\"+\"===t[0]}(t)?i.default(t):void 0}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),n=i.__importDefault(t(37)),f=i.__importDefault(t(38)),a=i.__importDefault(t(43));function l(t){var e=this;if(2===arguments.length){var r=arguments[1];\"string\"==typeof r?\"+\"===r.charAt(0)?l[t]=f.default(arguments[1]):l[t]=a.default(arguments[1]):l[t]=r}else if(1===arguments.length){if(Array.isArray(t))return t.map((function(t){Array.isArray(t)?l.apply(e,t):l(t)}));if(\"string\"==typeof t){if(t in l)return l[t]}else\"EPSG\"in t?l[\"EPSG:\"+t.EPSG]=t:\"ESRI\"in t?l[\"ESRI:\"+t.ESRI]=t:\"IAU2000\"in t?l[\"IAU2000:\"+t.IAU2000]=t:console.log(t);return}}n.default(l),r.default=l},\n", - " function _(e,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.default=function(e){e(\"EPSG:4326\",\"+title=WGS 84 (long/lat) +proj=longlat +ellps=WGS84 +datum=WGS84 +units=degrees\"),e(\"EPSG:4269\",\"+title=NAD83 (long/lat) +proj=longlat +a=6378137.0 +b=6356752.31414036 +ellps=GRS80 +datum=NAD83 +units=degrees\"),e(\"EPSG:3857\",\"+title=WGS 84 / Pseudo-Mercator +proj=merc +a=6378137 +b=6378137 +lat_ts=0.0 +lon_0=0.0 +x_0=0.0 +y_0=0 +k=1.0 +units=m +nadgrids=@null +no_defs\"),e.WGS84=e[\"EPSG:4326\"],e[\"EPSG:3785\"]=e[\"EPSG:3857\"],e.GOOGLE=e[\"EPSG:3857\"],e[\"EPSG:900913\"]=e[\"EPSG:3857\"],e[\"EPSG:102113\"]=e[\"EPSG:3857\"]}},\n", - " function _(t,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),a=t(39),u=e.__importDefault(t(40)),r=e.__importDefault(t(41)),i=e.__importDefault(t(42));o.default=function(t){var n,o,e,f={},l=t.split(\"+\").map((function(t){return t.trim()})).filter((function(t){return t})).reduce((function(t,n){var o=n.split(\"=\");return o.push(!0),t[o[0].toLowerCase()]=o[1],t}),{}),c={proj:\"projName\",datum:\"datumCode\",rf:function(t){f.rf=parseFloat(t)},lat_0:function(t){f.lat0=t*a.D2R},lat_1:function(t){f.lat1=t*a.D2R},lat_2:function(t){f.lat2=t*a.D2R},lat_ts:function(t){f.lat_ts=t*a.D2R},lon_0:function(t){f.long0=t*a.D2R},lon_1:function(t){f.long1=t*a.D2R},lon_2:function(t){f.long2=t*a.D2R},alpha:function(t){f.alpha=parseFloat(t)*a.D2R},lonc:function(t){f.longc=t*a.D2R},x_0:function(t){f.x0=parseFloat(t)},y_0:function(t){f.y0=parseFloat(t)},k_0:function(t){f.k0=parseFloat(t)},k:function(t){f.k0=parseFloat(t)},a:function(t){f.a=parseFloat(t)},b:function(t){f.b=parseFloat(t)},r_a:function(){f.R_A=!0},zone:function(t){f.zone=parseInt(t,10)},south:function(){f.utmSouth=!0},towgs84:function(t){f.datum_params=t.split(\",\").map((function(t){return parseFloat(t)}))},to_meter:function(t){f.to_meter=parseFloat(t)},units:function(t){f.units=t;var n=i.default(r.default,t);n&&(f.to_meter=n.to_meter)},from_greenwich:function(t){f.from_greenwich=t*a.D2R},pm:function(t){var n=i.default(u.default,t);f.from_greenwich=(n||parseFloat(t))*a.D2R},nadgrids:function(t){\"@null\"===t?f.datumCode=\"none\":f.nadgrids=t},axis:function(t){3===t.length&&-1!==\"ewnsud\".indexOf(t.substr(0,1))&&-1!==\"ewnsud\".indexOf(t.substr(1,1))&&-1!==\"ewnsud\".indexOf(t.substr(2,1))&&(f.axis=t)}};for(n in l)o=l[n],n in c?\"function\"==typeof(e=c[n])?e(o):f[e]=o:f[n]=o;return\"string\"==typeof f.datumCode&&\"WGS84\"!==f.datumCode&&(f.datumCode=f.datumCode.toLowerCase()),f}},\n", - " function _(P,_,e){Object.defineProperty(e,\"__esModule\",{value:!0}),e.PJD_3PARAM=1,e.PJD_7PARAM=2,e.PJD_WGS84=4,e.PJD_NODATUM=5,e.SEC_TO_RAD=484813681109536e-20,e.HALF_PI=Math.PI/2,e.SIXTH=.16666666666666666,e.RA4=.04722222222222222,e.RA6=.022156084656084655,e.EPSLN=1e-10,e.D2R=.017453292519943295,e.R2D=57.29577951308232,e.FORTPI=Math.PI/4,e.TWO_PI=2*Math.PI,e.SPI=3.14159265359},\n", - " function _(e,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});var a={};r.default=a,a.greenwich=0,a.lisbon=-9.131906111111,a.paris=2.337229166667,a.bogota=-74.080916666667,a.madrid=-3.687938888889,a.rome=12.452333333333,a.bern=7.439583333333,a.jakarta=106.807719444444,a.ferro=-17.666666666667,a.brussels=4.367975,a.stockholm=18.058277777778,a.athens=23.7163375,a.oslo=10.722916666667},\n", - " function _(e,t,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.default={ft:{to_meter:.3048},\"us-ft\":{to_meter:1200/3937}}},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});var o=/[\\s_\\-\\/\\(\\)]/g;t.default=function(e,r){if(e[r])return e[r];for(var t,a=Object.keys(e),n=r.toLowerCase().replace(o,\"\"),f=-1;++f0?90:-90),e.lat_ts=e.lat1)}(l),l}},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0}),r.default=function(t){return new a(t).output()};var i=/\\s/,s=/[A-Za-z]/,h=/[A-Za-z84]/,o=/[,\\]]/,n=/[\\d\\.E\\-\\+]/;function a(t){if(\"string\"!=typeof t)throw new Error(\"not a string\");this.text=t.trim(),this.level=0,this.place=0,this.root=null,this.stack=[],this.currentObject=null,this.state=1}a.prototype.readCharicter=function(){var t=this.text[this.place++];if(4!==this.state)for(;i.test(t);){if(this.place>=this.text.length)return;t=this.text[this.place++]}switch(this.state){case 1:return this.neutral(t);case 2:return this.keyword(t);case 4:return this.quoted(t);case 5:return this.afterquote(t);case 3:return this.number(t);case-1:return}},a.prototype.afterquote=function(t){if('\"'===t)return this.word+='\"',void(this.state=4);if(o.test(t))return this.word=this.word.trim(),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in afterquote yet, index '+this.place)},a.prototype.afterItem=function(t){return\",\"===t?(null!==this.word&&this.currentObject.push(this.word),this.word=null,void(this.state=1)):\"]\"===t?(this.level--,null!==this.word&&(this.currentObject.push(this.word),this.word=null),this.state=1,this.currentObject=this.stack.pop(),void(this.currentObject||(this.state=-1))):void 0},a.prototype.number=function(t){if(!n.test(t)){if(o.test(t))return this.word=parseFloat(this.word),void this.afterItem(t);throw new Error(\"havn't handled \\\"\"+t+'\" in number yet, index '+this.place)}this.word+=t},a.prototype.quoted=function(t){'\"'!==t?this.word+=t:this.state=5},a.prototype.keyword=function(t){if(h.test(t))this.word+=t;else{if(\"[\"===t){var e=[];return e.push(this.word),this.level++,null===this.root?this.root=e:this.currentObject.push(e),this.stack.push(this.currentObject),this.currentObject=e,void(this.state=1)}if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in keyword yet, index '+this.place);this.afterItem(t)}},a.prototype.neutral=function(t){if(s.test(t))return this.word=t,void(this.state=2);if('\"'===t)return this.word=\"\",void(this.state=4);if(n.test(t))return this.word=t,void(this.state=3);if(!o.test(t))throw new Error(\"havn't handled \\\"\"+t+'\" in neutral yet, index '+this.place);this.afterItem(t)},a.prototype.output=function(){for(;this.place90&&a*l.R2D<-90&&h*l.R2D>180&&h*l.R2D<-180)return null;if(Math.abs(Math.abs(a)-l.HALF_PI)<=l.EPSLN)return null;if(this.sphere)i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0+this.a*this.k0*Math.log(Math.tan(l.FORTPI+.5*a));else{var n=Math.sin(a),u=r.default(this.e,a,n);i=this.x0+this.a*this.k0*e.default(h-this.long0),s=this.y0-this.a*this.k0*Math.log(u)}return t.x=i,t.y=s,t}function f(t){var i,s,h=t.x-this.x0,a=t.y-this.y0;if(this.sphere)s=l.HALF_PI-2*Math.atan(Math.exp(-a/(this.a*this.k0)));else{var r=Math.exp(-a/(this.a*this.k0));if(-9999===(s=n.default(this.e,r)))return null}return i=e.default(this.long0+h/(this.a*this.k0)),t.x=i,t.y=s,t}s.init=u,s.forward=o,s.inverse=f,s.names=[\"Mercator\",\"Popular Visualisation Pseudo Mercator\",\"Mercator_1SP\",\"Mercator_Auxiliary_Sphere\",\"merc\"],s.default={init:u,forward:o,inverse:f,names:s.names}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e,t,n){var r=e*t;return n/Math.sqrt(1-r*r)}},\n", - " function _(e,t,u){Object.defineProperty(u,\"__esModule\",{value:!0});const n=e(1),a=e(39),f=n.__importDefault(e(51));u.default=function(e){return Math.abs(e)<=a.SPI?e:e-f.default(e)*a.TWO_PI}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){return e<0?-1:1}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const a=t(39);n.default=function(t,e,n){var o=t*n,u=.5*t;return o=Math.pow((1-o)/(1+o),u),Math.tan(.5*(a.HALF_PI-e))/o}},\n", - " function _(t,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(39);e.default=function(t,a){for(var e,r,o=.5*t,u=n.HALF_PI-2*Math.atan(a),f=0;f<=15;f++)if(e=t*Math.sin(u),u+=r=n.HALF_PI-2*Math.atan(a*Math.pow((1-e)/(1+e),o))-u,Math.abs(r)<=1e-10)return u;return-9999}},\n", - " function _(e,n,i){function t(){}function r(e){return e}Object.defineProperty(i,\"__esModule\",{value:!0}),i.init=t,i.forward=r,i.inverse=r,i.names=[\"longlat\",\"identity\"],i.default={init:t,forward:r,inverse:r,names:i.names}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const a=e(1),n=e(39),f=a.__importStar(e(56)),u=a.__importDefault(e(42));r.eccentricity=function(e,t,r,a){var f=e*e,u=t*t,i=(f-u)/f,c=0;return a?(f=(e*=1-i*(n.SIXTH+i*(n.RA4+i*n.RA6)))*e,i=0):c=Math.sqrt(i),{es:i,e:c,ep2:(f-u)/u}},r.sphere=function(e,t,r,a,i){if(!e){var c=u.default(f.default,a);c||(c=f.WGS84),e=c.a,t=c.b,r=c.rf}return r&&!t&&(t=(1-1/r)*e),(0===r||Math.abs(e-t)3&&(0===r.datum_params[3]&&0===r.datum_params[4]&&0===r.datum_params[5]&&0===r.datum_params[6]||(r.datum_type=t.PJD_7PARAM,r.datum_params[3]*=t.SEC_TO_RAD,r.datum_params[4]*=t.SEC_TO_RAD,r.datum_params[5]*=t.SEC_TO_RAD,r.datum_params[6]=r.datum_params[6]/1e6+1))),r.a=_,r.b=u,r.es=d,r.ep2=p,r}},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),u=t(39),m=r.__importDefault(t(60)),_=r.__importDefault(t(62)),o=r.__importDefault(t(34)),d=r.__importDefault(t(63)),f=r.__importDefault(t(64));a.default=function t(e,a,r){var n;return Array.isArray(r)&&(r=d.default(r)),f.default(r),e.datum&&a.datum&&function(t,e){return(t.datum.datum_type===u.PJD_3PARAM||t.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==e.datumCode||(e.datum.datum_type===u.PJD_3PARAM||e.datum.datum_type===u.PJD_7PARAM)&&\"WGS84\"!==t.datumCode}(e,a)&&(r=t(e,n=new o.default(\"WGS84\"),r),e=n),\"enu\"!==e.axis&&(r=_.default(e,!1,r)),\"longlat\"===e.projName?r={x:r.x*u.D2R,y:r.y*u.D2R,z:r.z||0}:(e.to_meter&&(r={x:r.x*e.to_meter,y:r.y*e.to_meter,z:r.z||0}),r=e.inverse(r)),e.from_greenwich&&(r.x+=e.from_greenwich),r=m.default(e.datum,a.datum,r),a.from_greenwich&&(r={x:r.x-a.from_greenwich,y:r.y,z:r.z||0}),\"longlat\"===a.projName?r={x:r.x*u.R2D,y:r.y*u.R2D,z:r.z||0}:(r=a.forward(r),a.to_meter&&(r={x:r.x/a.to_meter,y:r.y/a.to_meter,z:r.z||0})),\"enu\"!==a.axis?_.default(a,!0,r):r}},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const u=e(39),o=e(61);function _(e){return e===u.PJD_3PARAM||e===u.PJD_7PARAM}a.default=function(e,t,a){return o.compareDatums(e,t)||e.datum_type===u.PJD_NODATUM||t.datum_type===u.PJD_NODATUM?a:e.es!==t.es||e.a!==t.a||_(e.datum_type)||_(t.datum_type)?(a=o.geodeticToGeocentric(a,e.es,e.a),_(e.datum_type)&&(a=o.geocentricToWgs84(a,e.datum_type,e.datum_params)),_(t.datum_type)&&(a=o.geocentricFromWgs84(a,t.datum_type,t.datum_params)),o.geocentricToGeodetic(a,t.es,t.a,t.b)):a}},\n", - " function _(a,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(39);r.compareDatums=function(a,t){return a.datum_type===t.datum_type&&(!(a.a!==t.a||Math.abs(a.es-t.es)>5e-11)&&(a.datum_type===e.PJD_3PARAM?a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]:a.datum_type!==e.PJD_7PARAM||a.datum_params[0]===t.datum_params[0]&&a.datum_params[1]===t.datum_params[1]&&a.datum_params[2]===t.datum_params[2]&&a.datum_params[3]===t.datum_params[3]&&a.datum_params[4]===t.datum_params[4]&&a.datum_params[5]===t.datum_params[5]&&a.datum_params[6]===t.datum_params[6]))},r.geodeticToGeocentric=function(a,t,r){var m,u,s,_,n=a.x,d=a.y,i=a.z?a.z:0;if(d<-e.HALF_PI&&d>-1.001*e.HALF_PI)d=-e.HALF_PI;else if(d>e.HALF_PI&&d<1.001*e.HALF_PI)d=e.HALF_PI;else{if(d<-e.HALF_PI)return{x:-1/0,y:-1/0,z:a.z};if(d>e.HALF_PI)return{x:1/0,y:1/0,z:a.z}}return n>Math.PI&&(n-=2*Math.PI),u=Math.sin(d),_=Math.cos(d),s=u*u,{x:((m=r/Math.sqrt(1-t*s))+i)*_*Math.cos(n),y:(m+i)*_*Math.sin(n),z:(m*(1-t)+i)*u}},r.geocentricToGeodetic=function(a,t,r,m){var u,s,_,n,d,i,p,P,o,y,M,z,c,A,x,f=a.x,h=a.y,I=a.z?a.z:0;if(u=Math.sqrt(f*f+h*h),s=Math.sqrt(f*f+h*h+I*I),u/r<1e-12){if(A=0,s/r<1e-12)return e.HALF_PI,x=-m,{x:a.x,y:a.y,z:a.z}}else A=Math.atan2(h,f);_=I/s,P=(n=u/s)*(1-t)*(d=1/Math.sqrt(1-t*(2-t)*n*n)),o=_*d,c=0;do{c++,i=t*(p=r/Math.sqrt(1-t*o*o))/(p+(x=u*P+I*o-p*(1-t*o*o))),z=(M=_*(d=1/Math.sqrt(1-i*(2-i)*n*n)))*P-(y=n*(1-i)*d)*o,P=y,o=M}while(z*z>1e-24&&c<30);return{x:A,y:Math.atan(M/Math.abs(y)),z:x}},r.geocentricToWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x+r[0],y:a.y+r[1],z:a.z+r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6];return{x:i*(a.x-d*a.y+n*a.z)+m,y:i*(d*a.x+a.y-_*a.z)+u,z:i*(-n*a.x+_*a.y+a.z)+s}}},r.geocentricFromWgs84=function(a,t,r){if(t===e.PJD_3PARAM)return{x:a.x-r[0],y:a.y-r[1],z:a.z-r[2]};if(t===e.PJD_7PARAM){var m=r[0],u=r[1],s=r[2],_=r[3],n=r[4],d=r[5],i=r[6],p=(a.x-m)/i,P=(a.y-u)/i,o=(a.z-s)/i;return{x:p+d*P-n*o,y:-d*p+P+_*o,z:n*p-_*P+o}}}},\n", - " function _(e,a,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.default=function(e,a,i){var s,n,r,c=i.x,d=i.y,u=i.z||0,f={};for(r=0;r<3;r++)if(!a||2!==r||void 0!==i.z)switch(0===r?(s=c,n=-1!==\"ew\".indexOf(e.axis[r])?\"x\":\"y\"):1===r?(s=d,n=-1!==\"ns\".indexOf(e.axis[r])?\"y\":\"x\"):(s=u,n=\"z\"),e.axis[r]){case\"e\":case\"w\":case\"n\":case\"s\":f[n]=s;break;case\"u\":void 0!==i[n]&&(f.z=s);break;case\"d\":void 0!==i[n]&&(f.z=-s);break;default:return null}return f}},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.default=function(e){var n={x:e[0],y:e[1]};return e.length>2&&(n.z=e[2]),e.length>3&&(n.m=e[3]),n}},\n", - " function _(e,i,n){function t(e){if(\"function\"==typeof Number.isFinite){if(Number.isFinite(e))return;throw new TypeError(\"coordinates must be finite numbers\")}if(\"number\"!=typeof e||e!=e||!isFinite(e))throw new TypeError(\"coordinates must be finite numbers\")}Object.defineProperty(n,\"__esModule\",{value:!0}),n.default=function(e){t(e.x),t(e.y)}},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(66),s=r.__importStar(e(70)),_=r.__importStar(e(18)),l=e(71);class o extends n.DOMView{initialize(){super.initialize(),this.visuals=new s.Visuals(this.model),this._has_finished=!0}get plot_view(){return this.parent}get plot_model(){return this.parent.model}get layer(){const{canvas_view:e}=this.plot_view;return\"overlay\"==this.model.level?e.overlays:e.primary}request_render(){this.plot_view.request_render()}map_to_screen(e,t){return this.plot_view.map_to_screen(e,t,this.model.x_range_name,this.model.y_range_name)}get needs_clip(){return!1}notify_finished(){this.plot_view.notify_finished()}get has_webgl(){return!1}}i.RendererView=o,o.__name__=\"RendererView\";class a extends l.Model{constructor(e){super(e)}static init_Renderer(){this.define({level:[_.RenderLevel],visible:[_.Boolean,!0]})}}i.Renderer=a,a.__name__=\"Renderer\",a.init_Renderer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(67),h=e(68),n=i.__importStar(e(68)),l=i.__importDefault(e(69));class _ extends r.View{initialize(){super.initialize(),this._has_finished=!1,this.is_root&&(this._stylesheet=h.stylesheet),this._inject_styles(),this.el=this._createElement()}remove(){n.removeElement(this.el),super.remove()}css_classes(){return[]}styles(){return[l.default]}cursor(e,t){return null}render(){}renderTo(e){e.appendChild(this.el),this.render()}has_finished(){return this._has_finished}get is_idle(){return this.has_finished()}get stylesheet(){return this.is_root?this._stylesheet:this.root.stylesheet}_inject_styles(){const{stylesheet:e}=this;for(const t of this.styles())e.append(t)}_createElement(){return n.createElement(this.tagName,{class:this.css_classes()})}}s.DOMView=_,_.__name__=\"DOMView\",_.prototype.tagName=\"div\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(14),n=t(8);class o{constructor(t){if(this.removed=new r.Signal0(this,\"removed\"),this._ready=Promise.resolve(void 0),null==t.model)throw new Error(\"model of a view wasn't configured\");this.model=t.model,this._parent=t.parent}get ready(){return this._ready}connect(t,e){return t.connect((t,i)=>{const r=Promise.resolve(e.call(this,t,i));this._ready=this._ready.then(()=>r)},this)}disconnect(t,e){return t.disconnect(e,this)}initialize(){}async lazy_initialize(){}remove(){this._parent=void 0,this.disconnect_signals(),this.removed.emit()}toString(){return`${this.model.type}View(${this.model.id})`}serializable_state(){return{type:this.model.type}}get parent(){if(void 0!==this._parent)return this._parent;throw new Error(\"parent of a view wasn't configured\")}get is_root(){return null===this.parent}get root(){return this.is_root?this:this.parent.root}assert_root(){if(!this.is_root)throw new Error(this.toString()+\" is not a root layout\")}connect_signals(){}disconnect_signals(){r.Signal.disconnectReceiver(this)}on_change(t,e){for(const i of n.isArray(t)?t:[t])this.connect(i.change,e)}}i.View=o,o.__name__=\"View\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(8),o=t=>(e={},...n)=>{const o=document.createElement(t);o.classList.add(\"bk\");for(const t in e){let n=e[t];if(null!=n&&(!i.isBoolean(n)||n))if(\"class\"===t&&(i.isString(n)&&(n=n.split(/\\s+/)),i.isArray(n)))for(const t of n)null!=t&&o.classList.add(t);else if(\"style\"===t&&i.isPlainObject(n))for(const t in n)o.style[t]=n[t];else if(\"data\"===t&&i.isPlainObject(n))for(const t in n)o.dataset[t]=n[t];else o.setAttribute(t,n)}function s(t){if(t instanceof Element)o.appendChild(t);else if(i.isString(t))o.appendChild(document.createTextNode(t));else if(null!=t&&!1!==t)throw new Error(\"expected a DOM element, string, false or null, got \"+JSON.stringify(t))}for(const t of n)if(i.isArray(t))for(const e of t)s(e);else s(t);return o};function s(t){const e=t.parentNode;null!=e&&e.removeChild(t)}function l(t,...e){const n=t.firstChild;for(const i of e)t.insertBefore(i,n)}function r(t,e){const n=Element.prototype;return(n.matches||n.webkitMatchesSelector||n.mozMatchesSelector||n.msMatchesSelector).call(t,e)}function a(t){return parseFloat(t)||0}function c(t){const e=getComputedStyle(t);return{border:{top:a(e.borderTopWidth),bottom:a(e.borderBottomWidth),left:a(e.borderLeftWidth),right:a(e.borderRightWidth)},margin:{top:a(e.marginTop),bottom:a(e.marginBottom),left:a(e.marginLeft),right:a(e.marginRight)},padding:{top:a(e.paddingTop),bottom:a(e.paddingBottom),left:a(e.paddingLeft),right:a(e.paddingRight)}}}function h(t){const e=t.getBoundingClientRect();return{width:Math.ceil(e.width),height:Math.ceil(e.height)}}n.createElement=function(t,e,...n){return o(t)(e,...n)},n.div=o(\"div\"),n.span=o(\"span\"),n.canvas=o(\"canvas\"),n.link=o(\"link\"),n.style=o(\"style\"),n.a=o(\"a\"),n.p=o(\"p\"),n.i=o(\"i\"),n.pre=o(\"pre\"),n.button=o(\"button\"),n.label=o(\"label\"),n.input=o(\"input\"),n.select=o(\"select\"),n.option=o(\"option\"),n.optgroup=o(\"optgroup\"),n.textarea=o(\"textarea\"),n.nbsp=function(){return document.createTextNode(\" \")},n.append=function(t,...e){for(const n of e)t.appendChild(n)},n.remove=s,n.removeElement=s,n.replaceWith=function(t,e){const n=t.parentNode;null!=n&&n.replaceChild(e,t)},n.prepend=l,n.empty=function(t,e=!1){let n;for(;n=t.firstChild;)t.removeChild(n);if(e)for(const e of t.attributes)t.removeAttributeNode(e)},n.display=function(t){t.style.display=\"\"},n.undisplay=function(t){t.style.display=\"none\"},n.show=function(t){t.style.visibility=\"\"},n.hide=function(t){t.style.visibility=\"hidden\"},n.offset=function(t){const e=t.getBoundingClientRect();return{top:e.top+window.pageYOffset-document.documentElement.clientTop,left:e.left+window.pageXOffset-document.documentElement.clientLeft}},n.matches=r,n.parent=function(t,e){let n=t;for(;n=n.parentElement;)if(r(n,e))return n;return null},n.extents=c,n.size=h,n.scroll_size=function(t){return{width:Math.ceil(t.scrollWidth),height:Math.ceil(t.scrollHeight)}},n.outer_size=function(t){const{margin:{left:e,right:n,top:i,bottom:o}}=c(t),{width:s,height:l}=h(t);return{width:Math.ceil(s+e+n),height:Math.ceil(l+i+o)}},n.content_size=function(t){const{left:e,top:n}=t.getBoundingClientRect(),{padding:i}=c(t);let o=0,s=0;for(const l of t.children){const t=l.getBoundingClientRect();o=Math.max(o,Math.ceil(t.left-e-i.left+t.width)),s=Math.max(s,Math.ceil(t.top-n-i.top+t.height))}return{width:o,height:s}},n.position=function(t,e,n){const{style:i}=t;if(i.left=e.x+\"px\",i.top=e.y+\"px\",i.width=e.width+\"px\",i.height=e.height+\"px\",null==n)i.margin=\"\";else{const{top:t,right:e,bottom:o,left:s}=n;i.margin=`${t}px ${e}px ${o}px ${s}px`}},n.children=function(t){return Array.from(t.children)};class d{constructor(t){this.el=t,this.classList=t.classList}get values(){const t=[];for(let e=0;e\":case\"vertical_wave\":_.moveTo(i,0),_.lineTo(3*i,l),_.lineTo(i,c),_.stroke();break;case\"*\":case\"criss_cross\":n(_,c),o(_,c,l),r(_,c,l)}return h}class u{constructor(e,t=\"\"){this.obj=e,this.prefix=t,this.cache={};for(const a of this.attrs)this[a]=e.properties[t+a]}warm_cache(e){for(const t of this.attrs){const a=this.obj.properties[this.prefix+t];if(void 0!==a.spec.value)this.cache[t]=a.spec.value;else{if(!(null!=e&&a instanceof l.VectorSpec))throw new Error(\"source is required with a vectorized visual property\");this.cache[t+\"_array\"]=a.array(e)}}}cache_select(e,t){const a=this.obj.properties[this.prefix+e];let s;return void 0!==a.spec.value?this.cache[e]=s=a.spec.value:this.cache[e]=s=this.cache[e+\"_array\"][t],s}get_array(e){const t=this.cache[e+\"_array\"];return null!=this.all_indices?h.map(this.all_indices,e=>t[e]):t}set_vectorize(e,t){null!=this.all_indices?this._set_vectorize(e,this.all_indices[t]):this._set_vectorize(e,t)}}a.ContextProperties=u,u.__name__=\"ContextProperties\";class p extends u{set_value(e){e.strokeStyle=this.line_color.value(),e.globalAlpha=this.line_alpha.value(),e.lineWidth=this.line_width.value(),e.lineJoin=this.line_join.value(),e.lineCap=this.line_cap.value(),e.setLineDash(this.line_dash.value()),e.setLineDashOffset(this.line_dash_offset.value())}get doit(){return!(null===this.line_color.spec.value||0==this.line_alpha.spec.value||0==this.line_width.spec.value)}_set_vectorize(e,t){this.cache_select(\"line_color\",t),e.strokeStyle=this.cache.line_color,this.cache_select(\"line_alpha\",t),e.globalAlpha=this.cache.line_alpha,this.cache_select(\"line_width\",t),e.lineWidth=this.cache.line_width,this.cache_select(\"line_join\",t),e.lineJoin=this.cache.line_join,this.cache_select(\"line_cap\",t),e.lineCap=this.cache.line_cap,this.cache_select(\"line_dash\",t),e.setLineDash(this.cache.line_dash),this.cache_select(\"line_dash_offset\",t),e.setLineDashOffset(this.cache.line_dash_offset)}color_value(){return i.color2css(this.line_color.value(),this.line_alpha.value())}}a.Line=p,p.__name__=\"Line\",p.prototype.attrs=Object.keys(c.LineVector);class v extends u{set_value(e){e.fillStyle=this.fill_color.value(),e.globalAlpha=this.fill_alpha.value()}get doit(){return!(null===this.fill_color.spec.value||0==this.fill_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"fill_color\",t),e.fillStyle=this.cache.fill_color,this.cache_select(\"fill_alpha\",t),e.globalAlpha=this.cache.fill_alpha}color_value(){return i.color2css(this.fill_color.value(),this.fill_alpha.value())}}a.Fill=v,v.__name__=\"Fill\",v.prototype.attrs=Object.keys(c.FillVector);class f extends u{cache_select(e,t){let a;if(\"pattern\"==e){this.cache_select(\"hatch_color\",t),this.cache_select(\"hatch_scale\",t),this.cache_select(\"hatch_pattern\",t),this.cache_select(\"hatch_weight\",t);const{hatch_color:e,hatch_scale:a,hatch_pattern:s,hatch_weight:c,hatch_extra:l}=this.cache;if(null!=l&&l.hasOwnProperty(s)){const t=l[s];this.cache.pattern=t.get_pattern(e,a,c)}else this.cache.pattern=t=>{const l=_(s,e,a,c);return t.createPattern(l,\"repeat\")}}else a=super.cache_select(e,t);return a}_try_defer(e){const{hatch_pattern:t,hatch_extra:a}=this.cache;if(null!=a&&a.hasOwnProperty(t)){a[t].onload(e)}}get doit(){return!(null===this.hatch_color.spec.value||0==this.hatch_alpha.spec.value||\" \"==this.hatch_pattern.spec.value||\"blank\"==this.hatch_pattern.spec.value||null===this.hatch_pattern.spec.value)}doit2(e,t,a,s){if(!this.doit)return;this.cache_select(\"pattern\",t),null==this.cache.pattern(e)?this._try_defer(s):(this.set_vectorize(e,t),a())}_set_vectorize(e,t){this.cache_select(\"pattern\",t),e.fillStyle=this.cache.pattern(e),this.cache_select(\"hatch_alpha\",t),e.globalAlpha=this.cache.hatch_alpha}color_value(){return i.color2css(this.hatch_color.value(),this.hatch_alpha.value())}}a.Hatch=f,f.__name__=\"Hatch\",f.prototype.attrs=Object.keys(c.HatchVector);class d extends u{color_value(){return i.color2css(this.text_color.value(),this.text_alpha.value())}font_value(){const e=this.text_font.value(),t=this.text_font_size.value();return`${this.text_font_style.value()} ${t} ${e}`}v_font_value(e){super.cache_select(\"text_font_style\",e),super.cache_select(\"text_font_size\",e),super.cache_select(\"text_font\",e);const{text_font_style:t,text_font_size:a,text_font:s}=this.cache;return`${t} ${a} ${s}`}cache_select(e,t){let a;return\"font\"==e?this.cache.font=a=this.v_font_value(t):a=super.cache_select(e,t),a}set_value(e){e.font=this.font_value(),e.fillStyle=this.text_color.value(),e.globalAlpha=this.text_alpha.value(),e.textAlign=this.text_align.value(),e.textBaseline=this.text_baseline.value()}get doit(){return!(null===this.text_color.spec.value||0==this.text_alpha.spec.value)}_set_vectorize(e,t){this.cache_select(\"font\",t),e.font=this.cache.font,this.cache_select(\"text_color\",t),e.fillStyle=this.cache.text_color,this.cache_select(\"text_alpha\",t),e.globalAlpha=this.cache.text_alpha,this.cache_select(\"text_align\",t),e.textAlign=this.cache.text_align,this.cache_select(\"text_baseline\",t),e.textBaseline=this.cache.text_baseline}}a.Text=d,d.__name__=\"Text\",d.prototype.attrs=Object.keys(c.TextVector);class k{constructor(e){for(const t of e._mixins){const[a,s=\"\"]=t.split(\":\");let c;switch(a){case\"line\":c=p;break;case\"fill\":c=v;break;case\"hatch\":c=f;break;case\"text\":c=d;break;default:throw new Error(\"unknown visual: \"+a)}this[s+a]=new c(e,s)}}warm_cache(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&a.warm_cache(e)}}set_all_indices(e){for(const t in this)if(this.hasOwnProperty(t)){const a=this[t];a instanceof u&&(a.all_indices=e)}}}a.Visuals=k,k.__name__=\"Visuals\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),c=e(13),i=n.__importStar(e(18)),a=e(8),r=e(17),o=e(72);class l extends c.HasProps{constructor(e){super(e)}static init_Model(){this.define({tags:[i.Array,[]],name:[i.String],js_property_callbacks:[i.Any,{}],js_event_callbacks:[i.Any,{}],subscribed_events:[i.Array,[]]})}initialize(){super.initialize(),this._js_callbacks=new Map}connect_signals(){super.connect_signals(),this._update_property_callbacks(),this.connect(this.properties.js_property_callbacks.change,()=>this._update_property_callbacks()),this.connect(this.properties.js_event_callbacks.change,()=>this._update_event_callbacks()),this.connect(this.properties.subscribed_events.change,()=>this._update_event_callbacks())}_process_event(e){for(const t of this.js_event_callbacks[e.event_name]||[])t.execute(e);null!=this.document&&this.subscribed_events.some(t=>t==e.event_name)&&this.document.event_manager.send_event(e)}trigger_event(e){null!=this.document&&(e.origin=this,this.document.event_manager.trigger(e))}_update_event_callbacks(){null!=this.document?this.document.event_manager.subscribed_models.add(this):o.logger.warn(\"WARNING: Document not defined for updating event callbacks\")}_update_property_callbacks(){const e=e=>{const[t,s=null]=e.split(\":\");return null!=s?this.properties[s][t]:this[t]};for(const[t,s]of this._js_callbacks){const n=e(t);for(const e of s)this.disconnect(n,e)}this._js_callbacks.clear();for(const[t,s]of r.entries(this.js_property_callbacks)){const n=s.map(e=>()=>e.execute(this));this._js_callbacks.set(t,n);const c=e(t);for(const e of n)this.connect(c,e)}}_doc_attached(){r.isEmpty(this.js_event_callbacks)&&0==this.subscribed_events.length||this._update_event_callbacks()}_doc_detached(){this.document.event_manager.subscribed_models.delete(this)}select(e){if(a.isString(e))return[...this.references()].filter(t=>t instanceof l&&t.name===e);if(e.prototype instanceof c.HasProps)return[...this.references()].filter(t=>t instanceof e);throw new Error(\"invalid selector\")}select_one(e){const t=this.select(e);switch(t.length){case 0:return null;case 1:return t[0];default:throw new Error(\"found more than one object matching given selector\")}}}s.Model=l,l.__name__=\"Model\",l.init_Model()},\n", - " function _(e,l,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(8),t={};class s{constructor(e,l){this.name=e,this.level=l}}o.LogLevel=s,s.__name__=\"LogLevel\";class g{constructor(e,l=g.INFO){this._name=e,this.set_level(l)}static get levels(){return Object.keys(g.log_levels)}static get(e,l=g.INFO){if(e.length>0){let o=t[e];return null==o&&(t[e]=o=new g(e,l)),o}throw new TypeError(\"Logger.get() expects a non-empty string name and an optional log-level\")}get level(){return this.get_level()}get_level(){return this._log_level}set_level(e){if(e instanceof s)this._log_level=e;else{if(!n.isString(e)||null==g.log_levels[e])throw new Error(\"Logger.set_level() expects a log-level object or a string name of a log-level\");this._log_level=g.log_levels[e]}const l=`[${this._name}]`;for(const e in g.log_levels){g.log_levels[e].levelthis.set_data(this.model.source)),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source))}set_data(t){super.set_data(t),this.visuals.warm_cache(t),this.plot_view.request_render()}_map_data(){const{frame:t}=this.plot_view;let e,s,i,a;return\"data\"==this.model.start_units?(e=t.xscales[this.model.x_range_name].v_compute(this._x_start),s=t.yscales[this.model.y_range_name].v_compute(this._y_start)):(e=t.xview.v_compute(this._x_start),s=t.yview.v_compute(this._y_start)),\"data\"==this.model.end_units?(i=t.xscales[this.model.x_range_name].v_compute(this._x_end),a=t.yscales[this.model.y_range_name].v_compute(this._y_end)):(i=t.xview.v_compute(this._x_end),a=t.yview.v_compute(this._y_end)),[[e,s],[i,a]]}render(){if(!this.model.visible)return;const{ctx:t}=this.layer;t.save();const[e,s]=this._map_data();null!=this.model.end&&this._arrow_head(t,\"render\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"render\",this.model.start,s,e),t.beginPath();const{x:i,y:a,width:n,height:r}=this.plot_view.frame.bbox;t.rect(i,a,n,r),null!=this.model.end&&this._arrow_head(t,\"clip\",this.model.end,e,s),null!=this.model.start&&this._arrow_head(t,\"clip\",this.model.start,s,e),t.closePath(),t.clip(),this._arrow_body(t,e,s),t.restore()}_arrow_head(t,e,s,i,a){for(let n=0,r=this._x_start.length;nnew n.OpenHead({})],source:[_.Instance],x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]})}}s.Arrow=d,d.__name__=\"Arrow\",d.init_Arrow()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),o=i(31),l=i(70),n=i(23),h=t.__importStar(i(18));class a extends o.Annotation{constructor(i){super(i)}static init_ArrowHead(){this.define({size:[h.Number,25]})}initialize(){super.initialize(),this.visuals=new l.Visuals(this)}}s.ArrowHead=a,a.__name__=\"ArrowHead\",a.init_ArrowHead();class r extends a{constructor(i){super(i)}static init_OpenHead(){this.mixins(n.LineVector)}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,0),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.stroke())}}s.OpenHead=r,r.__name__=\"OpenHead\",r.init_OpenHead();class z extends a{constructor(i){super(i)}static init_NormalHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._normal(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._normal(i,e),i.stroke())}_normal(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.closePath()}}s.NormalHead=z,z.__name__=\"NormalHead\",z.init_NormalHead();class _ extends a{constructor(i){super(i)}static init_VeeHead(){this.mixins([n.LineVector,n.FillVector]),this.override({fill_color:\"black\"})}clip(i,e){this.visuals.line.set_vectorize(i,e),i.moveTo(.5*this.size,this.size),i.lineTo(.5*this.size,-2),i.lineTo(-.5*this.size,-2),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.lineTo(.5*this.size,this.size)}render(i,e){this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(i,e),this._vee(i,e),i.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),this._vee(i,e),i.stroke())}_vee(i,e){i.beginPath(),i.moveTo(.5*this.size,this.size),i.lineTo(0,0),i.lineTo(-.5*this.size,this.size),i.lineTo(0,.5*this.size),i.closePath()}}s.VeeHead=_,_.__name__=\"VeeHead\",_.init_VeeHead();class c extends a{constructor(i){super(i)}static init_TeeHead(){this.mixins(n.LineVector)}render(i,e){this.visuals.line.doit&&(this.visuals.line.set_vectorize(i,e),i.beginPath(),i.moveTo(.5*this.size,0),i.lineTo(-.5*this.size,0),i.stroke())}clip(i,e){}}s.TeeHead=c,c.__name__=\"TeeHead\",c.init_TeeHead()},\n", - " function _(t,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(77),r=s.__importStar(t(18)),i=t(8),l=t(17),a=s.__importStar(t(103)),c=t(104),u=t(105);function h(t,n,e){if(i.isArray(t)){const s=t.concat(n);return null!=e&&s.length>e?s.slice(-e):s}if(i.isTypedArray(t)){const s=t.length+n.length;if(null!=e&&s>e){const o=s-e,r=t.length;let i;t.lengthnew _.UnionRenderers]}),this.internal({selection_manager:[l.Instance,t=>new c.SelectionManager({source:t})],inspected:[l.Instance,()=>new g.Selection]})}initialize(){super.initialize(),this._select=new i.Signal0(this,\"select\"),this.inspect=new i.Signal(this,\"inspect\"),this.streaming=new i.Signal0(this,\"streaming\"),this.patching=new i.Signal(this,\"patching\")}get_column(t){const n=this.data[t];return null!=n?n:null}columns(){return h.keys(this.data)}get_length(t=!0){const n=u.uniq(h.values(this.data).map(t=>t.length));switch(n.length){case 0:return null;case 1:return n[0];default:{const e=\"data source has columns of inconsistent lengths\";if(t)return r.logger.warn(e),n.sort()[0];throw new Error(e)}}}get_indices(){const t=this.get_length();return u.range(0,null!=t?t:1)}clear(){const t={};for(const n of this.columns())t[n]=new this.data[n].constructor(0);this.data=t}}e.ColumnarDataSource=d,d.__name__=\"ColumnarDataSource\",d.init_ColumnarDataSource()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const c=e(1),n=e(71),o=e(79),i=c.__importStar(e(18));class r extends n.Model{constructor(e){super(e)}static init_DataSource(){this.define({selected:[i.Instance,()=>new o.Selection]})}}a.DataSource=r,r.__name__=\"DataSource\",r.init_DataSource()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),l=t.__importStar(i(18)),c=i(9),_=i(17);class h extends n.Model{constructor(i){super(i)}static init_Selection(){this.define({indices:[l.Array,[]],line_indices:[l.Array,[]],multiline_indices:[l.Any,{}]}),this.internal({selected_glyphs:[l.Array,[]],get_view:[l.Any],image_indices:[l.Array,[]]})}initialize(){super.initialize(),this.get_view=()=>null}static from_hits(i){const e=c.sort_by(i,([,i])=>i).map(([i])=>i);return new h({indices:e})}get selected_glyph(){return this.selected_glyphs.length>0?this.selected_glyphs[0]:null}add_to_selected_glyphs(i){this.selected_glyphs.push(i)}update(i,e=!0,s=\"replace\"){switch(s){case\"replace\":this.indices=i.indices,this.line_indices=i.line_indices,this.selected_glyphs=i.selected_glyphs,this.get_view=i.get_view,this.multiline_indices=i.multiline_indices,this.image_indices=i.image_indices;break;case\"append\":this.update_through_union(i);break;case\"intersect\":this.update_through_intersection(i);break;case\"subtract\":this.update_through_subtraction(i)}}clear(){this.indices=[],this.line_indices=[],this.multiline_indices={},this.get_view=()=>null,this.selected_glyphs=[]}is_empty(){return 0==this.indices.length&&0==this.line_indices.length&&0==this.image_indices.length}update_through_union(i){this.indices=c.union(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_intersection(i){this.indices=c.intersection(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}update_through_subtraction(i){this.indices=c.difference(this.indices,i.indices),this.selected_glyphs=c.union(i.selected_glyphs,this.selected_glyphs),this.line_indices=c.union(i.line_indices,this.line_indices),this.get_view()||(this.get_view=i.get_view),this.multiline_indices=_.merge(i.multiline_indices,this.multiline_indices)}}s.Selection=h,h.__name__=\"Selection\",h.init_Selection()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(13),o=e(79),c=e(81),r=e(100),l=i.__importStar(e(18));class p extends n.HasProps{constructor(e){super(e),this.inspectors=new Map}static init_SelectionManager(){this.internal({source:[l.Any]})}select(e,t,s,i=\"replace\"){const n=[],o=[];for(const t of e)t instanceof c.GlyphRendererView?n.push(t):t instanceof r.GraphRendererView&&o.push(t);let l=!1;for(const e of o){const n=e.model.selection_policy.hit_test(t,e);l=l||e.model.selection_policy.do_selection(n,e.model,s,i)}if(n.length>0){const e=this.source.selection_policy.hit_test(t,n);l=l||this.source.selection_policy.do_selection(e,this.source,s,i)}return l}inspect(e,t){let s=!1;if(e instanceof c.GlyphRendererView){const i=e.hit_test(t);if(null!=i){s=!i.is_empty();const n=this.get_or_create_inspector(e.model);n.update(i,!0,\"replace\"),this.source.setv({inspected:n},{silent:!0}),this.source.inspect.emit([e,{geometry:t}])}}else if(e instanceof r.GraphRendererView){const i=e.model.inspection_policy.hit_test(t,e);s=s||e.model.inspection_policy.do_inspection(i,t,e,!1,\"replace\")}return s}clear(e){this.source.selected.clear(),null!=e&&this.get_or_create_inspector(e.model).clear()}get_or_create_inspector(e){let t=this.inspectors.get(e);return null==t&&(t=new o.Selection,this.inspectors.set(e,t)),t}}s.SelectionManager=p,p.__name__=\"SelectionManager\",p.init_SelectionManager()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=e(82),n=e(83),h=e(94),o=e(95),a=e(97),_=e(98),c=e(72),r=s.__importStar(e(18)),d=e(12),g=e(9),p=e(17),y=e(99),u=e(90),m={fill:{},line:{}},v={fill:{fill_alpha:.3,fill_color:\"grey\"},line:{line_alpha:.3,line_color:\"grey\"}},f={fill:{fill_alpha:.2},line:{}};class w extends l.DataRendererView{async lazy_initialize(){await super.lazy_initialize();const e=this.model.glyph,t=g.includes(e._mixins,\"fill\"),i=g.includes(e._mixins,\"line\"),s=p.clone(e.attributes);function l(l){const n=p.clone(s);return t&&p.extend(n,l.fill),i&&p.extend(n,l.line),new e.constructor(n)}delete s.id,this.glyph=await this.build_glyph_view(e);let{selection_glyph:n}=this.model;null==n?n=l({fill:{},line:{}}):\"auto\"===n&&(n=l(m)),this.selection_glyph=await this.build_glyph_view(n);let{nonselection_glyph:h}=this.model;null==h?h=l({fill:{},line:{}}):\"auto\"===h&&(h=l(f)),this.nonselection_glyph=await this.build_glyph_view(h);const{hover_glyph:o}=this.model;null!=o&&(this.hover_glyph=await this.build_glyph_view(o));const{muted_glyph:a}=this.model;null!=a&&(this.muted_glyph=await this.build_glyph_view(a));const _=l(v);this.decimated_glyph=await this.build_glyph_view(_),this.xscale=this.plot_view.frame.xscales[this.model.x_range_name],this.yscale=this.plot_view.frame.yscales[this.model.y_range_name],this.set_data(!1)}async build_glyph_view(e){return y.build_view(e,{parent:this})}remove(){var e,t;this.glyph.remove(),this.selection_glyph.remove(),this.nonselection_glyph.remove(),null===(e=this.hover_glyph)||void 0===e||e.remove(),null===(t=this.muted_glyph)||void 0===t||t.remove(),this.decimated_glyph.remove(),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.glyph.change,()=>this.set_data()),this.connect(this.model.data_source.change,()=>this.set_data()),this.connect(this.model.data_source.streaming,()=>this.set_data()),this.connect(this.model.data_source.patching,e=>this.set_data(!0,e)),this.connect(this.model.data_source.selected.change,()=>this.request_render()),this.connect(this.model.data_source._select,()=>this.request_render()),null!=this.hover_glyph&&this.connect(this.model.data_source.inspect,()=>this.request_render()),this.connect(this.model.properties.view.change,()=>this.set_data()),this.connect(this.model.view.change,()=>this.set_data()),this.connect(this.model.properties.visible.change,()=>this.plot_view.update_dataranges());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const i=e[t];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}for(const e in t){const i=t[e];i instanceof u.FactorRange&&this.connect(i.change,()=>this.set_data())}this.connect(this.model.glyph.transformchange,()=>this.set_data())}have_selection_glyphs(){return null!=this.selection_glyph&&null!=this.nonselection_glyph}set_data(e=!0,t=null){const i=Date.now(),s=this.model.data_source;this.all_indices=this.model.view.indices,this.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.glyph.set_data(s,this.all_indices,t),this.glyph.set_visuals(s,this.all_indices),this.decimated_glyph.set_visuals(s,this.all_indices),this.have_selection_glyphs()&&(this.selection_glyph.set_visuals(s,this.all_indices),this.nonselection_glyph.set_visuals(s,this.all_indices)),null!=this.hover_glyph&&this.hover_glyph.set_visuals(s,this.all_indices),null!=this.muted_glyph&&this.muted_glyph.set_visuals(s,this.all_indices);const{lod_factor:l}=this.plot_model;this.decimated=[];for(let e=0,t=Math.floor(this.all_indices.length/l);e!u||u.is_empty()?[]:u.selected_glyph?this.model.view.convert_indices_from_subset(l):u.indices.length>0?u.indices:Object.keys(u.multiline_indices).map(e=>parseInt(e)))()),v=d.filter(l,e=>m.has(this.all_indices[e])),{lod_threshold:f}=this.plot_model;let w,b,x;null!=this.model.document&&this.model.document.interactive_duration()>0&&!t&&null!=f&&this.all_indices.length>f?(l=this.decimated,w=this.decimated_glyph,b=this.decimated_glyph,x=this.selection_glyph):(w=this.model.muted&&null!=this.muted_glyph?this.muted_glyph:this.glyph,b=this.nonselection_glyph,x=this.selection_glyph),null!=this.hover_glyph&&v.length&&(l=g.difference(l,v));let D,V=null;if(y.length&&this.have_selection_glyphs()){const e=Date.now(),t={};for(const e of y)t[e]=!0;const i=new Array,s=new Array;if(this.glyph instanceof n.LineView)for(const e of this.all_indices)null!=t[e]?i.push(e):s.push(e);else for(const e of l)null!=t[this.all_indices[e]]?i.push(e):s.push(e);V=Date.now()-e,D=Date.now(),b.render(r,s,this.glyph),x.render(r,i,this.glyph),null!=this.hover_glyph&&(this.glyph instanceof n.LineView?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):this.hover_glyph.render(r,v,this.glyph))}else if(D=Date.now(),this.glyph instanceof n.LineView)this.hover_glyph&&v.length?this.hover_glyph.render(r,this.model.view.convert_indices_from_subset(v),this.glyph):w.render(r,this.all_indices,this.glyph);else if(this.glyph instanceof h.PatchView||this.glyph instanceof o.HAreaView||this.glyph instanceof a.VAreaView)if(0==u.selected_glyphs.length||null==this.hover_glyph)w.render(r,this.all_indices,this.glyph);else for(const e of u.selected_glyphs)e==this.glyph.model&&this.hover_glyph.render(r,this.all_indices,this.glyph);else w.render(r,l,this.glyph),this.hover_glyph&&v.length&&this.hover_glyph.render(r,v,this.glyph);const R=Date.now()-D;this.last_dtrender=R;const $=Date.now()-e;c.logger.debug(`${this.glyph.model.type} ${this.model}: render finished in ${$}ms`),c.logger.trace(` - map_data finished in : ${i}ms`),c.logger.trace(` - mask_data finished in : ${_}ms`),null!=V&&c.logger.trace(` - selection mask finished in : ${V}ms`),c.logger.trace(` - glyph renders finished in : ${R}ms`),r.restore()}draw_legend(e,t,i,s,l,n,h,o){null==o&&(o=this.model.get_reference_point(n,h)),this.glyph.draw_legend_for_index(e,{x0:t,x1:i,y0:s,y1:l},o)}hit_test(e){if(!this.model.visible)return null;const t=this.glyph.hit_test(e);return null==t?null:this.model.view.convert_selection_from_subset(t)}}i.GlyphRendererView=w,w.__name__=\"GlyphRendererView\";class b extends l.DataRenderer{constructor(e){super(e)}static init_GlyphRenderer(){this.prototype.default_view=w,this.define({data_source:[r.Instance],view:[r.Instance,()=>new _.CDSView],glyph:[r.Instance],hover_glyph:[r.Instance],nonselection_glyph:[r.Any,\"auto\"],selection_glyph:[r.Any,\"auto\"],muted_glyph:[r.Instance],muted:[r.Boolean,!1]})}initialize(){super.initialize(),null==this.view.source&&(this.view.source=this.data_source,this.view.compute_indices())}get_reference_point(e,t){let i=0;if(null!=e){const s=this.data_source.get_column(e);if(null!=s){const e=d.indexOf(s,t);-1!=e&&(i=e)}}return i}get_selection_manager(){return this.data_source.selection_manager}}i.GlyphRenderer=b,b.__name__=\"GlyphRenderer\",b.init_GlyphRenderer()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),a=e(65),_=t.__importStar(e(18));class i extends a.RendererView{}n.DataRendererView=i,i.__name__=\"DataRendererView\";class d extends a.Renderer{constructor(e){super(e)}static init_DataRenderer(){this.define({x_range_name:[_.String,\"default\"],y_range_name:[_.String,\"default\"]}),this.override({level:\"glyph\"})}}n.DataRenderer=d,d.__name__=\"DataRenderer\",d.init_DataRenderer()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(84),_=e(92),l=s.__importStar(e(23)),o=s.__importStar(e(93)),r=e(79);class h extends n.XYGlyphView{_render(e,t,{sx:i,sy:s}){let n=!1,_=null;this.visuals.line.set_value(e);for(const l of t){if(n){if(!isFinite(i[l]+s[l])){e.stroke(),e.beginPath(),n=!1,_=l;continue}null!=_&&l-_>1&&(e.stroke(),n=!1)}n?e.lineTo(i[l],s[l]):(e.beginPath(),e.moveTo(i[l],s[l]),n=!0),_=l}n&&e.stroke()}_hit_point(e){const t=new r.Selection,i={x:e.sx,y:e.sy};let s=9999;const n=Math.max(2,this.visuals.line.line_width.value()/2);for(let e=0,_=this.sx.length-1;e<_;e++){const _={x:this.sx[e],y:this.sy[e]},l={x:this.sx[e+1],y:this.sy[e+1]},r=o.dist_to_segment(i,_,l);rthis,t.line_indices=[e])}return t}_hit_span(e){const{sx:t,sy:i}=e,s=new r.Selection;let n,_;\"v\"==e.direction?(n=this.renderer.yscale.invert(i),_=this._y):(n=this.renderer.xscale.invert(t),_=this._x);for(let e=0,t=_.length-1;ethis,s.line_indices.push(e));return s}get_interpolation_hit(e,t){const[i,s,n,l]=[this._x[e],this._y[e],this._x[e+1],this._y[e+1]];return _.line_interpolation(this.renderer,t,i,s,n,l)}draw_legend_for_index(e,t,i){_.generic_line_legend(this.visuals,e,t,i)}}i.LineView=h,h.__name__=\"LineView\";class a extends n.XYGlyph{constructor(e){super(e)}static init_Line(){this.prototype.default_view=h,this.mixins(l.Line)}}i.Line=a,a.__name__=\"Line\",a.init_Line()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(85),n=e(89);class _ extends n.GlyphView{_index_data(){const e=[];for(let t=0,s=this._x.length;t0){this.index=new e.default(n.length);for(const t of n){const{x0:n,y0:i,x1:e,y1:s}=t;this.index.add(n,i,e,s)}this.index.finish()}}_normalize(n){let{x0:t,y0:i,x1:e,y1:s}=n;return t>e&&([t,e]=[e,t]),i>s&&([i,s]=[s,i]),{x0:t,y0:i,x1:e,y1:s}}get bbox(){if(null==this.index)return s.empty();{const{minX:n,minY:t,maxX:i,maxY:e}=this.index;return{x0:n,y0:t,x1:i,y1:e}}}search(n){if(null==this.index)return[];{const{x0:t,y0:i,x1:e,y1:s}=this._normalize(n);return this.index.search(t,i,e,s).map(n=>this.points[n])}}indices(n){return this.search(n).map(({i:n})=>n)}}i.SpatialIndex=r,r.__name__=\"SpatialIndex\"},\n", - " function _(t,s,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1).__importDefault(t(87)),h=[Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array];class n{static from(t){if(!(t instanceof ArrayBuffer))throw new Error(\"Data must be an instance of ArrayBuffer.\");const[s,i]=new Uint8Array(t,0,2);if(251!==s)throw new Error(\"Data does not appear to be in a Flatbush format.\");if(i>>4!=3)throw new Error(`Got v${i>>4} data when expected v3.`);const[e]=new Uint16Array(t,2,1),[o]=new Uint32Array(t,4,1);return new n(o,e,h[15&i],t)}constructor(t,s=16,i=Float64Array,n){if(void 0===t)throw new Error(\"Missing required argument: numItems.\");if(isNaN(t)||t<=0)throw new Error(`Unpexpected numItems value: ${t}.`);this.numItems=+t,this.nodeSize=Math.min(Math.max(+s,2),65535);let o=t,r=o;this._levelBounds=[4*o];do{o=Math.ceil(o/this.nodeSize),r+=o,this._levelBounds.push(4*r)}while(1!==o);this.ArrayType=i||Float64Array,this.IndexArrayType=r<16384?Uint16Array:Uint32Array;const a=h.indexOf(this.ArrayType),_=4*r*this.ArrayType.BYTES_PER_ELEMENT;if(a<0)throw new Error(`Unexpected typed array class: ${i}.`);n&&n instanceof ArrayBuffer?(this.data=n,this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=4*r,this.minX=this._boxes[this._pos-4],this.minY=this._boxes[this._pos-3],this.maxX=this._boxes[this._pos-2],this.maxY=this._boxes[this._pos-1]):(this.data=new ArrayBuffer(8+_+r*this.IndexArrayType.BYTES_PER_ELEMENT),this._boxes=new this.ArrayType(this.data,8,4*r),this._indices=new this.IndexArrayType(this.data,8+_,r),this._pos=0,this.minX=1/0,this.minY=1/0,this.maxX=-1/0,this.maxY=-1/0,new Uint8Array(this.data,0,2).set([251,48+a]),new Uint16Array(this.data,2,1)[0]=s,new Uint32Array(this.data,4,1)[0]=t),this._queue=new e.default}add(t,s,i,e){const h=this._pos>>2;return this._indices[h]=h,this._boxes[this._pos++]=t,this._boxes[this._pos++]=s,this._boxes[this._pos++]=i,this._boxes[this._pos++]=e,tthis.maxX&&(this.maxX=i),e>this.maxY&&(this.maxY=e),h}finish(){if(this._pos>>2!==this.numItems)throw new Error(`Added ${this._pos>>2} items when expected ${this.numItems}.`);if(this.numItems<=this.nodeSize)return this._boxes[this._pos++]=this.minX,this._boxes[this._pos++]=this.minY,this._boxes[this._pos++]=this.maxX,void(this._boxes[this._pos++]=this.maxY);const t=this.maxX-this.minX,s=this.maxY-this.minY,i=new Uint32Array(this.numItems);for(let e=0;e=Math.floor(n/o))return;const r=s[h+n>>1];let _=h-1,d=n+1;for(;;){do{_++}while(s[_]r);if(_>=d)break;a(s,i,e,_,d)}t(s,i,e,h,d,o),t(s,i,e,d+1,n,o)}(i,this._boxes,this._indices,0,this.numItems-1,this.nodeSize);for(let t=0,s=0;t>2]=t,this._boxes[this._pos++]=e,this._boxes[this._pos++]=h,this._boxes[this._pos++]=n,this._boxes[this._pos++]=o}}}search(t,s,i,e,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const o=[],a=[];for(;void 0!==n;){const _=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let r=n;r<_;r+=4){const _=0|this._indices[r>>2];ithis._boxes[r+2]||s>this._boxes[r+3]||(n<4*this.numItems?(void 0===h||h(_))&&a.push(_):o.push(_)))}n=o.pop()}return a}neighbors(t,s,i=1/0,e=1/0,h){if(this._pos!==this._boxes.length)throw new Error(\"Data not yet indexed - call index.finish().\");let n=this._boxes.length-4;const a=this._queue,_=[],d=e*e;for(;void 0!==n;){const e=Math.min(n+4*this.nodeSize,r(n,this._levelBounds));for(let i=n;i>2],r=o(t,this._boxes[i],this._boxes[i+2]),_=o(s,this._boxes[i+1],this._boxes[i+3]),d=r*r+_*_;n<4*this.numItems?(void 0===h||h(e))&&a.push(-e-1,d):a.push(e,d)}for(;a.length&&a.peek()<0;){if(a.peekValue()>d)return a.clear(),_;if(_.push(-a.pop()-1),_.length===i)return a.clear(),_}n=a.pop()}return a.clear(),_}}function o(t,s,i){return t>1;s[h]>t?e=h:i=h+1}return s[i]}function a(t,s,i,e,h){const n=t[e];t[e]=t[h],t[h]=n;const o=4*e,r=4*h,a=s[o],_=s[o+1],d=s[o+2],x=s[o+3];s[o]=s[r],s[o+1]=s[r+1],s[o+2]=s[r+2],s[o+3]=s[r+3],s[r]=a,s[r+1]=_,s[r+2]=d,s[r+3]=x;const l=i[e];i[e]=i[h],i[h]=l}function _(t,s){let i=t^s,e=65535^i,h=65535^(t|s),n=t&(65535^s),o=i|e>>1,r=i>>1^i,a=h>>1^e&n>>1^h,_=i&h>>1^n>>1^n;i=o,e=r,h=a,n=_,o=i&i>>2^e&e>>2,r=i&e>>2^e&(i^e)>>2,a^=i&h>>2^e&n>>2,_^=e&h>>2^(i^e)&n>>2,i=o,e=r,h=a,n=_,o=i&i>>4^e&e>>4,r=i&e>>4^e&(i^e)>>4,a^=i&h>>4^e&n>>4,_^=e&h>>4^(i^e)&n>>4,i=o,e=r,h=a,n=_,a^=i&h>>8^e&n>>8,_^=e&h>>8^(i^e)&n>>8,i=a^a>>1,e=_^_>>1;let d=t^s,x=e|65535^(d|i);return d=16711935&(d|d<<8),d=252645135&(d|d<<4),d=858993459&(d|d<<2),d=1431655765&(d|d<<1),x=16711935&(x|x<<8),x=252645135&(x|x<<4),x=858993459&(x|x<<2),x=1431655765&(x|x<<1),(x<<1|d)>>>0}i.default=n},\n", - " function _(s,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});i.default=class{constructor(){this.ids=[],this.values=[],this.length=0}clear(){this.length=0}push(s,t){let i=this.length++;for(this.ids[i]=s,this.values[i]=t;i>0;){const s=i-1>>1,h=this.values[s];if(t>=h)break;this.ids[i]=this.ids[s],this.values[i]=h,i=s}this.ids[i]=s,this.values[i]=t}pop(){if(0===this.length)return;const s=this.ids[0];if(this.length--,this.length>0){const s=this.ids[0]=this.ids[this.length],t=this.values[0]=this.values[this.length],i=this.length>>1;let h=0;for(;h=t)break;this.ids[h]=e,this.values[h]=l,h=s}this.ids[h]=s,this.values[h]=t}return s}peek(){if(0!==this.length)return this.ids[0]}peekValue(){if(0!==this.length)return this.values[0]}}},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const{min:h,max:r}=Math;e.empty=function(){return{x0:1/0,y0:1/0,x1:-1/0,y1:-1/0}},e.positive_x=function(){return{x0:Number.MIN_VALUE,y0:-1/0,x1:1/0,y1:1/0}},e.positive_y=function(){return{x0:-1/0,y0:Number.MIN_VALUE,x1:1/0,y1:1/0}},e.union=function(t,i){return{x0:h(t.x0,i.x0),x1:r(t.x1,i.x1),y0:h(t.y0,i.y0),y1:r(t.y1,i.y1)}};class s{constructor(t){if(null==t)this.x0=0,this.y0=0,this.x1=0,this.y1=0;else if(\"x0\"in t){const{x0:i,y0:e,x1:h,y1:r}=t;if(!(i<=h&&e<=r))throw new Error(`invalid bbox {x0: ${i}, y0: ${e}, x1: ${h}, y1: ${r}}`);this.x0=i,this.y0=e,this.x1=h,this.y1=r}else if(\"x\"in t){const{x:i,y:e,width:h,height:r}=t;if(!(h>=0&&r>=0))throw new Error(`invalid bbox {x: ${i}, y: ${e}, width: ${h}, height: ${r}}`);this.x0=i,this.y0=e,this.x1=i+h,this.y1=e+r}else{let i,e,h,r;if(\"width\"in t)if(\"left\"in t)i=t.left,e=i+t.width;else if(\"right\"in t)e=t.right,i=e-t.width;else{const h=t.width/2;i=t.hcenter-h,e=t.hcenter+h}else i=t.left,e=t.right;if(\"height\"in t)if(\"top\"in t)h=t.top,r=h+t.height;else if(\"bottom\"in t)r=t.bottom,h=r-t.height;else{const i=t.height/2;h=t.vcenter-i,r=t.vcenter+i}else h=t.top,r=t.bottom;if(!(i<=e&&h<=r))throw new Error(`invalid bbox {left: ${i}, top: ${h}, right: ${e}, bottom: ${r}}`);this.x0=i,this.y0=h,this.x1=e,this.y1=r}}toString(){return`BBox({left: ${this.left}, top: ${this.top}, width: ${this.width}, height: ${this.height}})`}get left(){return this.x0}get top(){return this.y0}get right(){return this.x1}get bottom(){return this.y1}get p0(){return[this.x0,this.y0]}get p1(){return[this.x1,this.y1]}get x(){return this.x0}get y(){return this.y0}get width(){return this.x1-this.x0}get height(){return this.y1-this.y0}get rect(){return{x0:this.x0,y0:this.y0,x1:this.x1,y1:this.y1}}get box(){return{x:this.x,y:this.y,width:this.width,height:this.height}}get h_range(){return{start:this.x0,end:this.x1}}get v_range(){return{start:this.y0,end:this.y1}}get ranges(){return[this.h_range,this.v_range]}get aspect(){return this.width/this.height}get hcenter(){return(this.left+this.right)/2}get vcenter(){return(this.top+this.bottom)/2}contains(t,i){return t>=this.x0&&t<=this.x1&&i>=this.y0&&i<=this.y1}clip(t,i){return tthis.x1&&(t=this.x1),ithis.y1&&(i=this.y1),[t,i]}union(t){return new s({x0:h(this.x0,t.x0),y0:h(this.y0,t.y0),x1:r(this.x1,t.x1),y1:r(this.y1,t.y1)})}equals(t){return this.x0==t.x0&&this.y0==t.y0&&this.x1==t.x1&&this.y1==t.y1}get xview(){return{compute:t=>this.left+t,v_compute:t=>{const i=new Float64Array(t.length),e=this.left;for(let h=0;hthis.bottom-t,v_compute:t=>{const i=new Float64Array(t.length),e=this.bottom;for(let h=0;hi.__importStar(t(371)))}catch(t){if(\"MODULE_NOT_FOUND\"!==t.code)throw t;h.logger.warn(\"WebGL was requested and is supported, but bokeh-gl(.min).js is not available, falling back to 2D rendering.\")}if(null!=s){const t=s[this.model.type+\"GLGlyph\"];null!=t&&(this.glglyph=new t(e.gl,this))}}}set_visuals(t,e){this.visuals.set_all_indices(e),this.visuals.warm_cache(t),null!=this.glglyph&&this.glglyph.set_visuals_changed()}render(t,e,s){t.beginPath(),null!=this.glglyph&&this.glglyph.render(t,e,s)||this._render(t,e,s)}has_finished(){return!0}notify_finished(){this.renderer.notify_finished()}_bounds(t){return t}bounds(){return this._bounds(this.index.bbox)}log_bounds(){const t=r.empty(),e=this.index.search(r.positive_x());for(const s of e)s.x0t.x1&&(t.x1=s.x1);const s=this.index.search(r.positive_y());for(const e of s)e.y0t.y1&&(t.y1=e.y1);return this._bounds(t)}get_anchor_point(t,e,[s,i]){switch(t){case\"center\":return{x:this.scenterx(e,s,i),y:this.scentery(e,s,i)};default:return null}}sdist(t,e,s,i=\"edge\",n=!1){let r,a;const _=e.length;if(\"center\"==i){const t=c.map(s,t=>t/2);r=new Float64Array(_);for(let s=0;s<_;s++)r[s]=e[s]-t[s];a=new Float64Array(_);for(let s=0;s<_;s++)a[s]=e[s]+t[s]}else{r=e,a=new Float64Array(_);for(let t=0;t<_;t++)a[t]=r[t]+s[t]}const l=t.v_compute(r),o=t.v_compute(a);return n?c.map(l,(t,e)=>Math.ceil(Math.abs(o[e]-l[e]))):c.map(l,(t,e)=>Math.abs(o[e]-l[e]))}draw_legend_for_index(t,e,s){}hit_test(t){switch(t.type){case\"point\":if(null!=this._hit_point)return this._hit_point(t);break;case\"span\":if(null!=this._hit_span)return this._hit_span(t);break;case\"rect\":if(null!=this._hit_rect)return this._hit_rect(t);break;case\"poly\":if(null!=this._hit_poly)return this._hit_poly(t)}return this._nohit_warned.has(t.type)||(h.logger.debug(`'${t.type}' selection not available for ${this.model.type}`),this._nohit_warned.add(t.type)),null}_hit_rect_against_index(t){const{sx0:e,sx1:s,sy0:i,sy1:n}=t,[r,a]=this.renderer.xscale.r_invert(e,s),[_,l]=this.renderer.yscale.r_invert(i,n),o=this.index.indices({x0:r,x1:a,y0:_,y1:l});return new g.Selection({indices:o})}set_data(t,e,s){let i=this.model.materialize_dataspecs(t);if(e&&!(this instanceof y.LineView)){const t={};for(const s in i){const n=i[s];\"_\"===s.charAt(0)?t[s]=e.map(t=>n[t]):t[s]=n}i=t}const n=this;if(d.extend(n,i),this.renderer.plot_view.model.use_map&&(null!=n._x&&([n._x,n._y]=a.project_xy(n._x,n._y)),null!=n._xs&&([n._xs,n._ys]=a.project_xsys(n._xs,n._ys)),null!=n._x0&&([n._x0,n._y0]=a.project_xy(n._x0,n._y0)),null!=n._x1&&([n._x1,n._y1]=a.project_xy(n._x1,n._y1))),null!=this.renderer.plot_view.frame.x_ranges){const t=this.renderer.plot_view.frame.x_ranges[this.model.x_range_name],e=this.renderer.plot_view.frame.y_ranges[this.model.y_range_name];for(let[s,i]of this.model._coords)s=\"_\"+s,i=\"_\"+i,null!=n._xs?(t instanceof u.FactorRange&&(n[s]=c.map(n[s],e=>t.v_synthetic(e))),e instanceof u.FactorRange&&(n[i]=c.map(n[i],t=>e.v_synthetic(t)))):(t instanceof u.FactorRange&&(n[s]=t.v_synthetic(n[s])),e instanceof u.FactorRange&&(n[i]=e.v_synthetic(n[i])))}null!=this.glglyph&&this.glglyph.set_data_changed(n._x.length),this._set_data(s),this.index_data()}_set_data(t){}index_data(){this.index=this._index_data()}mask_data(t){return null!=this.glglyph||null==this._mask_data?t:this._mask_data()}map_data(){const t=this;for(let[e,s]of this.model._coords){const i=\"s\"+e,n=\"s\"+s;if(e=\"_\"+e,s=\"_\"+s,null!=t[e]&&(p.isArray(t[e][0])||p.isTypedArray(t[e][0]))){const r=t[e].length;t[i]=new Array(r),t[n]=new Array(r);for(let a=0;aa.get(t).value));r.set(t,{value:u/i,mapping:a}),p+=i+e+l}return[r,(a.size-1)*e+g]}function u(t,e,n,s,i=0){var r;const a=new Map,p=new Map;for(const[e,n,s]of t){const t=null!==(r=p.get(e))&&void 0!==r?r:[];p.set(e,[...t,[n,s]])}let g=i,c=0;for(const[t,i]of p){const r=i.length,[p,u]=l(i,n,s,g);c+=u;const h=o.sum(i.map(([t])=>p.get(t).value));a.set(t,{value:h/r,mapping:p}),g+=r+e+u}return[a,(p.size-1)*e+c]}n.map_one_level=c,n.map_two_levels=l,n.map_three_levels=u;class h extends i.Range{constructor(t){super(t)}static init_FactorRange(){this.define({factors:[r.Array,[]],factor_padding:[r.Number,0],subgroup_padding:[r.Number,.8],group_padding:[r.Number,1.4],range_padding:[r.Number,0],range_padding_units:[r.PaddingUnits,\"percent\"],start:[r.Number],end:[r.Number]}),this.internal({levels:[r.Number],mids:[r.Array,null],tops:[r.Array,null]})}get min(){return this.start}get max(){return this.end}initialize(){super.initialize(),this._init(!0)}connect_signals(){super.connect_signals(),this.connect(this.properties.factors.change,()=>this.reset()),this.connect(this.properties.factor_padding.change,()=>this.reset()),this.connect(this.properties.group_padding.change,()=>this.reset()),this.connect(this.properties.subgroup_padding.change,()=>this.reset()),this.connect(this.properties.range_padding.change,()=>this.reset()),this.connect(this.properties.range_padding_units.change,()=>this.reset())}reset(){this._init(!1),this.change.emit()}_lookup(t){switch(t.length){case 1:{const[e]=t,n=this._mapping.get(e);return null!=n?n.value:NaN}case 2:{const[e,n]=t,s=this._mapping.get(e);if(null!=s){const t=s.mapping.get(n);if(null!=t)return t.value}return NaN}case 3:{const[e,n,s]=t,i=this._mapping.get(e);if(null!=i){const t=i.mapping.get(n);if(null!=t){const e=t.mapping.get(s);if(null!=e)return e.value}}return NaN}default:g.unreachable()}}synthetic(t){if(p.isNumber(t))return t;if(p.isString(t))return this._lookup([t]);let e=0;const n=t[t.length-1];return p.isNumber(n)&&(e=n,t=t.slice(0,-1)),this._lookup(t)+e}v_synthetic(t){return a.map(t,t=>this.synthetic(t))}_init(t){const{levels:e,mapping:n,tops:s,mids:i,inside_padding:r}=(()=>{if(o.every(this.factors,p.isString)){const t=this.factors,[e,n]=c(t,this.factor_padding);return{levels:1,mapping:e,tops:null,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&2==t.length&&p.isString(t[0])&&p.isString(t[1]))){const t=this.factors,[e,n]=l(t,this.group_padding,this.factor_padding),s=[...e.keys()];return{levels:2,mapping:e,tops:s,mids:null,inside_padding:n}}if(o.every(this.factors,t=>p.isArray(t)&&3==t.length&&p.isString(t[0])&&p.isString(t[1])&&p.isString(t[2]))){const t=this.factors,[e,n]=u(t,this.group_padding,this.subgroup_padding,this.factor_padding),s=[...e.keys()],i=[];for(const[t,n]of e)for(const e of n.mapping.keys())i.push([t,e]);return{levels:3,mapping:e,tops:s,mids:i,inside_padding:n}}g.unreachable()})();this._mapping=n,this.tops=s,this.mids=i;let a=0,h=this.factors.length+r;if(\"percent\"==this.range_padding_units){const t=(h-a)*this.range_padding/2;a-=t,h+=t}else a-=this.range_padding,h+=this.range_padding;this.setv({start:a,end:h,levels:e},{silent:t}),\"auto\"==this.bounds&&this.setv({bounds:[a,h]},{silent:!0})}}n.FactorRange=h,h.__name__=\"FactorRange\",h.init_FactorRange()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),a=e(71),r=i.__importStar(e(18));class s extends a.Model{constructor(e){super(e),this.have_updated_interactively=!1}static init_Range(){this.define({bounds:[r.Any],min_interval:[r.Any],max_interval:[r.Any]}),this.internal({plots:[r.Array,[]]})}get is_reversed(){return this.start>this.end}}n.Range=s,s.__name__=\"Range\",s.init_Range()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1).__importStar(e(93));i.generic_line_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){t.save(),t.beginPath(),t.moveTo(i,(c+o)/2),t.lineTo(n,(c+o)/2),e.line.doit&&(e.line.set_vectorize(t,r),t.stroke()),t.restore()},i.generic_area_legend=function(e,t,{x0:i,x1:n,y0:c,y1:o},r){const l=.1*Math.abs(n-i),a=.1*Math.abs(o-c),s=i+l,_=n-l,h=c+a,v=o-a;e.fill.doit&&(e.fill.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),null!=e.hatch&&e.hatch.doit&&(e.hatch.set_vectorize(t,r),t.fillRect(s,h,_-s,v-h)),e.line&&e.line.doit&&(t.beginPath(),t.rect(s,h,_-s,v-h),e.line.set_vectorize(t,r),t.stroke())},i.line_interpolation=function(e,t,i,c,o,r){const{sx:l,sy:a}=t;let s,_,h,v;\"point\"==t.type?([h,v]=e.yscale.r_invert(a-1,a+1),[s,_]=e.xscale.r_invert(l-1,l+1)):\"v\"==t.direction?([h,v]=e.yscale.r_invert(a,a),[s,_]=[Math.min(i-1,o-1),Math.max(i+1,o+1)]):([s,_]=e.xscale.r_invert(l,l),[h,v]=[Math.min(c-1,r-1),Math.max(c+1,r+1)]);const{x,y}=n.check_2_segments_intersect(s,h,_,v,i,c,o,r);return[x,y]}},\n", - " function _(t,n,e){function i(t){return t*t}function o(t,n){return i(t.x-n.x)+i(t.y-n.y)}function r(t,n,e){const i=o(n,e);if(0==i)return o(t,n);const r=((t.x-n.x)*(e.x-n.x)+(t.y-n.y)*(e.y-n.y))/i;return o(t,r<0?n:r>1?e:{x:n.x+r*(e.x-n.x),y:n.y+r*(e.y-n.y)})}Object.defineProperty(e,\"__esModule\",{value:!0}),e.point_in_poly=function(t,n,e,i){let o=!1,r=e[e.length-1],s=i[i.length-1];for(let u=0;u0&&_<1&&l>0&&l<1,x:t+_*(e-t),y:n+_*(i-n)}}}},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),l=e(84),_=e(92),n=s.__importStar(e(93)),o=s.__importStar(e(23)),a=e(79);class h extends l.XYGlyphView{_inner_loop(e,i,t,s,l){for(const _ of i)0!=_?isNaN(t[_]+s[_])?(e.closePath(),l.apply(e),e.beginPath()):e.lineTo(t[_],s[_]):(e.beginPath(),e.moveTo(t[_],s[_]));e.closePath(),l.call(e)}_render(e,i,{sx:t,sy:s}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner_loop(e,i,t,s,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner_loop(e,i,t,s,e.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_value(e),this._inner_loop(e,i,t,s,e.stroke))}draw_legend_for_index(e,i,t){_.generic_area_legend(this.visuals,e,i,t)}_hit_point(e){const i=new a.Selection;return n.point_in_poly(e.sx,e.sy,this.sx,this.sy)&&(i.add_to_selected_glyphs(this.model),i.get_view=()=>this),i}}t.PatchView=h,h.__name__=\"PatchView\";class r extends l.XYGlyph{constructor(e){super(e)}static init_Patch(){this.prototype.default_view=h,this.mixins([o.Line,o.Fill,o.Hatch])}}t.Patch=r,r.__name__=\"Patch\",r.init_Patch()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x1.length;t=0;t--)e.lineTo(s[t],i[t]);e.closePath(),r.call(e)}_render(e,t,{sx1:s,sx2:i,sy:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}_hit_point(e){const t=this.sy.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}scenterx(e){return(this.sx1[e]+this.sx2[e])/2}scentery(e){return this.sy[e]}_map_data(){this.sx1=this.renderer.xscale.v_compute(this._x1),this.sx2=this.renderer.xscale.v_compute(this._x2),this.sy=this.renderer.yscale.v_compute(this._y)}}s.HAreaView=l,l.__name__=\"HAreaView\";class o extends r.Area{constructor(e){super(e)}static init_HArea(){this.prototype.default_view=l,this.define({x1:[_.CoordinateSpec],x2:[_.CoordinateSpec],y:[_.CoordinateSpec]})}}s.HArea=o,o.__name__=\"HArea\",o.init_HArea()},\n", - " function _(e,_,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(1),r=e(89),t=e(92),n=a.__importStar(e(23));class s extends r.GlyphView{draw_legend_for_index(e,_,i){t.generic_area_legend(this.visuals,e,_,i)}}i.AreaView=s,s.__name__=\"AreaView\";class c extends r.Glyph{constructor(e){super(e)}static init_Area(){this.mixins([n.Fill,n.HatchVector])}}i.Area=c,c.__name__=\"Area\",c.init_Area()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(96),n=e(85),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(79);class l extends r.AreaView{_index_data(){const e=[];for(let t=0,s=this._x.length;t=0;s--)e.lineTo(t[s],i[s]);e.closePath(),r.call(e)}_render(e,t,{sx:s,sy1:i,sy2:r}){this.visuals.fill.doit&&(this.visuals.fill.set_value(e),this._inner(e,s,i,r,e.fill)),this.visuals.hatch.doit2(e,0,()=>this._inner(e,s,i,r,e.fill),()=>this.renderer.request_render())}scenterx(e){return this.sx[e]}scentery(e){return(this.sy1[e]+this.sy2[e])/2}_hit_point(e){const t=this.sx.length,s=new Float64Array(2*t),i=new Float64Array(2*t);for(let e=0,r=t;ethis),r}_map_data(){this.sx=this.renderer.xscale.v_compute(this._x),this.sy1=this.renderer.yscale.v_compute(this._y1),this.sy2=this.renderer.yscale.v_compute(this._y2)}}s.VAreaView=l,l.__name__=\"VAreaView\";class o extends r.Area{constructor(e){super(e)}static init_VArea(){this.prototype.default_view=l,this.define({x:[_.CoordinateSpec],y1:[_.CoordinateSpec],y2:[_.CoordinateSpec]})}}s.VArea=o,o.__name__=\"VArea\",o.init_VArea()},\n", - " function _(i,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=i(1),n=i(71),c=t.__importStar(i(18)),o=i(79),r=i(9),_=i(77);class h extends n.Model{constructor(i){super(i)}static init_CDSView(){this.define({filters:[c.Array,[]],source:[c.Instance]}),this.internal({indices:[c.Array,[]],indices_map:[c.Any,{}]})}initialize(){super.initialize(),this.compute_indices()}connect_signals(){super.connect_signals(),this.connect(this.properties.filters.change,()=>{this.compute_indices(),this.change.emit()});const i=()=>{const i=()=>this.compute_indices();null!=this.source&&(this.connect(this.source.change,i),this.source instanceof _.ColumnarDataSource&&(this.connect(this.source.streaming,i),this.connect(this.source.patching,i)))};let e=null!=this.source;e?i():this.connect(this.properties.source.change,()=>{e||(i(),e=!0)})}compute_indices(){const i=this.filters.map(i=>i.compute_indices(this.source)).filter(i=>null!=i);i.length>0?this.indices=r.intersection.apply(this,i):this.source instanceof _.ColumnarDataSource&&(this.indices=this.source.get_indices()),this.indices_map_to_subset()}indices_map_to_subset(){this.indices_map={};for(let i=0;ithis.indices[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_selection_to_subset(i){const e=new o.Selection;e.update_through_union(i);const s=i.indices.map(i=>this.indices_map[i]);return e.indices=s,e.image_indices=i.image_indices,e}convert_indices_from_subset(i){return i.map(i=>this.indices[i])}}s.CDSView=h,h.__name__=\"CDSView\",h.init_CDSView()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(9);async function i(e,n,t){const o=new e(Object.assign(Object.assign({},t),{model:n}));return o.initialize(),await o.lazy_initialize(),o}t.build_view=async function(e,n={parent:null},t=(e=>e.default_view)){const o=await i(t(e),e,n);return o.connect_signals(),o},t.build_views=async function(e,n,t={parent:null},s=(e=>e.default_view)){const c=o.difference([...e.keys()],n);for(const n of c)e.get(n).remove(),e.delete(n);const a=[],f=n.filter(n=>!e.has(n));for(const n of f){const o=await i(s(n),n,t);e.set(n,o),a.push(o)}for(const e of a)e.connect_signals();return a},t.remove_views=function(e){for(const[n,t]of e)t.remove(),e.delete(n)}},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),r=e(82),i=e(101),a=s.__importStar(e(18)),d=e(99);class _ extends r.DataRendererView{initialize(){super.initialize(),this.xscale=this.plot_view.frame.xscales.default,this.yscale=this.plot_view.frame.yscales.default,this._renderer_views=new Map}async lazy_initialize(){[this.node_view,this.edge_view]=await d.build_views(this._renderer_views,[this.model.node_renderer,this.model.edge_renderer],{parent:this.parent}),this.set_data()}remove(){d.remove_views(this._renderer_views),super.remove()}connect_signals(){super.connect_signals(),this.connect(this.model.layout_provider.change,()=>this.set_data()),this.connect(this.model.node_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.node_renderer.data_source.change,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source._select,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.inspect,()=>this.set_data()),this.connect(this.model.edge_renderer.data_source.change,()=>this.set_data());const{x_ranges:e,y_ranges:t}=this.plot_view.frame;for(const t in e){const n=e[t];this.connect(n.change,()=>this.set_data())}for(const e in t){const n=t[e];this.connect(n.change,()=>this.set_data())}}set_data(e=!0){this.node_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0}),this.edge_view.glyph.model.setv({x_range_name:this.model.x_range_name,y_range_name:this.model.y_range_name},{silent:!0});const t=this.node_view.glyph;[t._x,t._y]=this.model.layout_provider.get_node_coordinates(this.model.node_renderer.data_source);const n=this.edge_view.glyph;[n._xs,n._ys]=this.model.layout_provider.get_edge_coordinates(this.model.edge_renderer.data_source),t.index_data(),n.index_data(),e&&this.request_render()}render(){this.edge_view.render(),this.node_view.render()}}n.GraphRendererView=_,_.__name__=\"GraphRendererView\";class o extends r.DataRenderer{constructor(e){super(e)}static init_GraphRenderer(){this.prototype.default_view=_,this.define({layout_provider:[a.Instance],node_renderer:[a.Instance],edge_renderer:[a.Instance],selection_policy:[a.Instance,()=>new i.NodesOnly],inspection_policy:[a.Instance,()=>new i.NodesOnly]})}get_selection_manager(){return this.node_renderer.data_source.selection_manager}}n.GraphRenderer=o,o.__name__=\"GraphRenderer\",o.init_GraphRenderer()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const d=e(71),s=e(12),o=e(9),_=e(79);class i extends d.Model{constructor(e){super(e)}_hit_test_nodes(e,t){if(!t.model.visible)return null;const n=t.node_view.glyph.hit_test(e);return null==n?null:t.node_view.model.view.convert_selection_from_subset(n)}_hit_test_edges(e,t){if(!t.model.visible)return null;const n=t.edge_view.glyph.hit_test(e);return null==n?null:t.edge_view.model.view.convert_selection_from_subset(n)}}n.GraphHitTestPolicy=i,i.__name__=\"GraphHitTestPolicy\";class r extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}do_selection(e,t,n,d){if(null==e)return!1;const s=t.node_renderer.data_source.selected;return s.update(e,n,d),t.node_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.model.get_selection_manager().get_or_create_inspector(n.node_view.model);return o.update(e,d,s),n.node_view.model.data_source.setv({inspected:o},{silent:!0}),n.node_view.model.data_source.inspect.emit([n.node_view,{geometry:t}]),!o.is_empty()}}n.NodesOnly=r,r.__name__=\"NodesOnly\";class c extends i{constructor(e){super(e)}hit_test(e,t){return this._hit_test_nodes(e,t)}get_linked_edges(e,t,n){let d=[];\"selection\"==n?d=e.selected.indices.map(t=>e.data.index[t]):\"inspection\"==n&&(d=e.inspected.indices.map(t=>e.data.index[t]));const s=[];for(let e=0;es.indexOf(e.data.index,t));return new _.Selection({indices:r})}do_selection(e,t,n,d){if(null==e)return!1;const s=t.edge_renderer.data_source.selected;s.update(e,n,d);const o=t.node_renderer.data_source.selected,_=this.get_linked_nodes(t.node_renderer.data_source,t.edge_renderer.data_source,\"selection\");return o.update(_,n,d),t.edge_renderer.data_source._select.emit(),!s.is_empty()}do_inspection(e,t,n,d,s){if(null==e)return!1;const o=n.edge_view.model.data_source.selection_manager.get_or_create_inspector(n.edge_view.model);o.update(e,d,s),n.edge_view.model.data_source.setv({inspected:o},{silent:!0});const _=n.node_view.model.data_source.selection_manager.get_or_create_inspector(n.node_view.model),i=this.get_linked_nodes(n.node_view.model.data_source,n.edge_view.model.data_source,\"inspection\");return _.update(i,d,s),n.node_view.model.data_source.setv({inspected:_},{silent:!0}),n.edge_view.model.data_source.inspect.emit([n.edge_view,{geometry:t}]),!o.is_empty()}}n.EdgesAndLinkedNodes=a,a.__name__=\"EdgesAndLinkedNodes\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(71);class o extends s.Model{do_selection(e,t,n,s){return null!==e&&(t.selected.update(e,n,s),t._select.emit(),!t.selected.is_empty())}}n.SelectionPolicy=o,o.__name__=\"SelectionPolicy\";class r extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_intersection(t);return e}return null}}n.IntersectRenderers=r,r.__name__=\"IntersectRenderers\";class c extends o{hit_test(e,t){const n=[];for(const s of t){const t=s.hit_test(e);null!==t&&n.push(t)}if(n.length>0){const e=n[0];for(const t of n)e.update_through_union(t);return e}return null}}n.UnionRenderers=c,c.__name__=\"UnionRenderers\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.concat=function(t,...e){let n=t.length;for(const t of e)n+=t.length;const o=new t.constructor(n);o.set(t,0);let c=t.length;for(const t of e)o.set(t,c),c+=t.length;return o}},\n", - " function _(n,o,e){function t(...n){const o=new Set;for(const e of n)for(const n of e)o.add(n);return o}Object.defineProperty(e,\"__esModule\",{value:!0}),e.union=t,e.intersection=function(n,...o){const e=new Set;n:for(const t of n){for(const n of o)if(!n.has(t))continue n;e.add(t)}return e},e.difference=function(n,...o){const e=new Set(n);for(const n of t(...o))e.delete(n);return e}},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(13);class o{constructor(e){this.document=e}}s.DocumentEvent=o,o.__name__=\"DocumentEvent\";class r extends o{constructor(e,t,s){super(e),this.events=t,this.setter_id=s}}s.DocumentEventBatch=r,r.__name__=\"DocumentEventBatch\";class d extends o{}s.DocumentChangedEvent=d,d.__name__=\"DocumentChangedEvent\";class _ extends d{constructor(e,t,s){super(e),this.msg_type=t,this.msg_data=s}json(e){const t=this.msg_data,s=n.HasProps._value_to_json(t),o=new Set;return n.HasProps._value_record_references(t,o,{recursive:!0}),{kind:\"MessageSent\",msg_type:this.msg_type,msg_data:s}}}s.MessageSentEvent=_,_.__name__=\"MessageSentEvent\";class i extends d{constructor(e,t,s,n,o,r,d){super(e),this.model=t,this.attr=s,this.old=n,this.new_=o,this.setter_id=r,this.hint=d}json(e){if(\"id\"===this.attr)throw new Error(\"'id' field should never change, whatever code just set it is wrong\");if(null!=this.hint)return this.hint.json(e);const t=this.new_,s=n.HasProps._value_to_json(t),o=new Set;n.HasProps._value_record_references(t,o,{recursive:!0}),o.has(this.model)&&this.model!==t&&o.delete(this.model);for(const t of o)e.add(t);return{kind:\"ModelChanged\",model:this.model.ref(),attr:this.attr,new:s}}}s.ModelChangedEvent=i,i.__name__=\"ModelChangedEvent\";class a extends d{constructor(e,t,s){super(e),this.column_source=t,this.patches=s}json(e){return{kind:\"ColumnsPatched\",column_source:this.column_source,patches:this.patches}}}s.ColumnsPatchedEvent=a,a.__name__=\"ColumnsPatchedEvent\";class c extends d{constructor(e,t,s,n){super(e),this.column_source=t,this.data=s,this.rollover=n}json(e){return{kind:\"ColumnsStreamed\",column_source:this.column_source,data:this.data,rollover:this.rollover}}}s.ColumnsStreamedEvent=c,c.__name__=\"ColumnsStreamedEvent\";class h extends d{constructor(e,t,s){super(e),this.title=t,this.setter_id=s}json(e){return{kind:\"TitleChanged\",title:this.title}}}s.TitleChangedEvent=h,h.__name__=\"TitleChangedEvent\";class u extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return n.HasProps._value_record_references(this.model,e,{recursive:!0}),{kind:\"RootAdded\",model:this.model.ref()}}}s.RootAddedEvent=u,u.__name__=\"RootAddedEvent\";class l extends d{constructor(e,t,s){super(e),this.model=t,this.setter_id=s}json(e){return{kind:\"RootRemoved\",model:this.model.ref()}}}s.RootRemovedEvent=l,l.__name__=\"RootRemovedEvent\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),_=e(31),o=e(76),l=i.__importStar(e(23)),a=i.__importStar(e(18));class n extends _.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],_=\"height\"==t?i:s,o=\"height\"==t?s:i,l=\"height\"==t?e.yview:e.xview,a=\"height\"==t?e.xview:e.yview;let n,h,r;n=\"data\"==this.model.properties.lower.units?_.v_compute(this._lower):l.v_compute(this._lower),h=\"data\"==this.model.properties.upper.units?_.v_compute(this._upper):l.v_compute(this._upper),r=\"data\"==this.model.properties.base.units?o.v_compute(this._base):a.v_compute(this._base);const[c,p]=\"height\"==t?[1,0]:[0,1],u=[n,r],d=[h,r];this._lower_sx=u[c],this._lower_sy=u[p],this._upper_sx=d[c],this._upper_sy=d[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;t=0;t--)e.lineTo(this._upper_sx[t],this._upper_sy[t]);e.closePath(),this.visuals.fill.doit&&(this.visuals.fill.set_value(e),e.fill()),e.beginPath(),e.moveTo(this._lower_sx[0],this._lower_sy[0]);for(let t=0,s=this._lower_sx.length;tnew o.ColumnDataSource],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"]}),this.override({fill_color:\"#fff9ba\",fill_alpha:.4,line_color:\"#cccccc\",line_alpha:.3})}}s.Band=h,h.__name__=\"Band\",h.init_Band()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),n=t(31),o=t(14),l=s.__importStar(t(23)),a=s.__importStar(t(18)),r=t(88);e.EDGE_TOLERANCE=2.5;class h extends n.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this)),this.connect(this.model.data_update,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;if(null==this.model.left&&null==this.model.right&&null==this.model.top&&null==this.model.bottom)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],e=t.yscales[this.model.y_range_name],s=(t,i,e,s,n)=>{let o;return o=null!=t?this.model.screen?t:\"data\"==i?e.compute(t):s.compute(t):n,o};this.sleft=s(this.model.left,this.model.left_units,i,t.xview,t._left.value),this.sright=s(this.model.right,this.model.right_units,i,t.xview,t._right.value),this.stop=s(this.model.top,this.model.top_units,e,t.yview,t._top.value),this.sbottom=s(this.model.bottom,this.model.bottom_units,e,t.yview,t._bottom.value),this._paint_box(this.sleft,this.sright,this.sbottom,this.stop)}_paint_box(t,i,e,s){const{ctx:n}=this.layer;n.save(),n.beginPath(),n.rect(t,s,i-t,e-s),this.visuals.fill.doit&&(this.visuals.fill.set_value(n),n.fill()),this.visuals.line.doit&&(this.visuals.line.set_value(n),n.stroke()),n.restore()}interactive_bbox(){const t=this.model.properties.line_width.value()+e.EDGE_TOLERANCE;return new r.BBox({x0:this.sleft-t,y0:this.stop-t,x1:this.sright+t,y1:this.sbottom+t})}interactive_hit(t,i){if(null==this.model.in_cursor)return!1;return this.interactive_bbox().contains(t,i)}cursor(t,i){return Math.abs(t-this.sleft)<3||Math.abs(t-this.sright)<3?this.model.ew_cursor:Math.abs(i-this.sbottom)<3||Math.abs(i-this.stop)<3?this.model.ns_cursor:t>this.sleft&&tthis.stop&&ithis.plot_view.request_render()),this.connect(this.model.ticker.change,()=>this.plot_view.request_render()),this.connect(this.model.formatter.change,()=>this.plot_view.request_render()),null!=this.model.color_mapper&&this.connect(this.model.color_mapper.change,()=>{this._set_canvas_image(),this.plot_view.request_render()})}_get_size(){if(null==this.model.color_mapper)return{width:0,height:0};{const{width:t,height:e}=this.compute_legend_dimensions();return{width:t,height:e}}}_set_canvas_image(){if(null==this.model.color_mapper)return;let t,e,{palette:i}=this.model.color_mapper;switch(\"vertical\"==this.model.orientation&&(i=u.reversed(i)),this.model.orientation){case\"vertical\":[t,e]=[1,i.length];break;case\"horizontal\":[t,e]=[i.length,1]}const o=document.createElement(\"canvas\");o.width=t,o.height=e;const a=o.getContext(\"2d\"),s=a.getImageData(0,0,t,e),r=new l.LinearColorMapper({palette:i}).rgba_mapper.v_compute(u.range(0,i.length));s.data.set(r),a.putImageData(s,0,0),this.image=o}compute_legend_dimensions(){const t=this._computed_image_dimensions(),[e,i]=[t.height,t.width],o=this._get_label_extent(),a=this._title_extent(),s=this._tick_extent(),{padding:r}=this.model;let l,n;switch(this.model.orientation){case\"vertical\":l=e+a+2*r,n=i+s+o+2*r;break;case\"horizontal\":l=e+a+s+o+2*r,n=i+2*r}return{width:n,height:l}}compute_legend_location(){const t=this.compute_legend_dimensions(),[e,i]=[t.height,t.width],o=this.model.margin,a=null!=this.panel?this.panel:this.plot_view.frame,[s,r]=a.bbox.ranges,{location:l}=this.model;let n,_;if(g.isString(l))switch(l){case\"top_left\":n=s.start+o,_=r.start+o;break;case\"top_center\":n=(s.end+s.start)/2-i/2,_=r.start+o;break;case\"top_right\":n=s.end-o-i,_=r.start+o;break;case\"bottom_right\":n=s.end-o-i,_=r.end-o-e;break;case\"bottom_center\":n=(s.end+s.start)/2-i/2,_=r.end-o-e;break;case\"bottom_left\":n=s.start+o,_=r.end-o-e;break;case\"center_left\":n=s.start+o,_=(r.end+r.start)/2-e/2;break;case\"center\":n=(s.end+s.start)/2-i/2,_=(r.end+r.start)/2-e/2;break;case\"center_right\":n=s.end-o-i,_=(r.end+r.start)/2-e/2}else if(g.isArray(l)&&2==l.length){const[t,i]=l;n=a.xview.compute(t),_=a.yview.compute(i)-e}else f.unreachable();return{sx:n,sy:_}}render(){if(!this.model.visible||null==this.model.color_mapper)return;const{ctx:t}=this.layer;t.save();const{sx:e,sy:i}=this.compute_legend_location();t.translate(e,i),this._draw_bbox(t);const o=this._get_image_offset();if(t.translate(o.x,o.y),this._draw_image(t),null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high){const e=this.tick_info();this._draw_major_ticks(t,e),this._draw_minor_ticks(t,e),this._draw_major_labels(t,e)}this.model.title&&this._draw_title(t),t.restore()}_draw_bbox(t){const e=this.compute_legend_dimensions();t.save(),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(0,0,e.width,e.height)),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_image(t){const e=this._computed_image_dimensions();t.save(),t.setImageSmoothingEnabled(!1),t.globalAlpha=this.model.scale_alpha,t.drawImage(this.image,0,0,e.width,e.height),this.visuals.bar_line.doit&&(this.visuals.bar_line.set_value(t),t.strokeRect(0,0,e.width,e.height)),t.restore()}_draw_major_ticks(t,e){if(!this.visuals.major_tick_line.doit)return;const[i,o]=this._normals(),a=this._computed_image_dimensions(),[s,r]=[a.width*i,a.height*o],[l,n]=e.coords.major,_=this.model.major_tick_in,h=this.model.major_tick_out;t.save(),t.translate(s,r),this.visuals.major_tick_line.set_value(t);for(let e=0,a=l.length;ei.measureText(t.toString()).width));break;case\"horizontal\":e=c.measure_font(this.visuals.major_label_text.font_value()).height}e+=this.model.label_standoff,i.restore()}return e}_get_image_offset(){return{x:this.model.padding,y:this.model.padding+this._title_extent()}}_normals(){return\"vertical\"==this.model.orientation?[1,0]:[0,1]}_title_extent(){const t=this.model.title_text_font+\" \"+this.model.title_text_font_size+\" \"+this.model.title_text_font_style;return this.model.title?c.measure_font(t).height+this.model.title_standoff:0}_tick_extent(){return null!=this.model.color_mapper.low&&null!=this.model.color_mapper.high?u.max([this.model.major_tick_out,this.model.minor_tick_out]):0}_computed_image_dimensions(){const t=this.plot_view.frame._height.value,e=this.plot_view.frame._width.value,i=this._title_extent();let o,a;switch(this.model.orientation){case\"vertical\":\"auto\"==this.model.height?null!=this.panel?o=t-2*this.model.padding-i:(o=u.max([25*this.model.color_mapper.palette.length,.3*t]),o=u.min([o,.8*t-2*this.model.padding-i])):o=this.model.height,a=\"auto\"==this.model.width?25:this.model.width;break;case\"horizontal\":o=\"auto\"==this.model.height?25:this.model.height,\"auto\"==this.model.width?null!=this.panel?a=e-2*this.model.padding:(a=u.max([25*this.model.color_mapper.palette.length,.3*e]),a=u.min([a,.8*e-2*this.model.padding])):a=this.model.width}return{width:a,height:o}}_tick_coordinate_scale(t){const e={source_range:new h.Range1d({start:this.model.color_mapper.low,end:this.model.color_mapper.high}),target_range:new h.Range1d({start:0,end:t})};switch(this.model.color_mapper.type){case\"LinearColorMapper\":return new n.LinearScale(e);case\"LogColorMapper\":return new _.LogScale(e);default:f.unreachable()}}_format_major_labels(t,e){const i=this.model.formatter.doFormat(t,null);for(let t=0,o=e.length;tr||(h[o].push(n[t]),h[a].push(0));for(let t=0,e=_.length;tr||(m[o].push(_[t]),m[a].push(0));const d={major:this._format_major_labels(h[o],n)},c={major:[[],[]],minor:[[],[]]};return c.major[o]=i.v_compute(h[o]),c.minor[o]=i.v_compute(m[o]),c.major[a]=h[a],c.minor[a]=m[a],\"vertical\"==this.model.orientation&&(c.major[o]=p.map(c.major[o],t=>e-t),c.minor[o]=p.map(c.minor[o],t=>e-t)),{coords:c,labels:d}}}i.ColorBarView=b,b.__name__=\"ColorBarView\";class v extends a.Annotation{constructor(t){super(t)}static init_ColorBar(){this.prototype.default_view=b,this.mixins([[\"major_label_\",m.Text],[\"title_\",m.Text],[\"major_tick_\",m.Line],[\"minor_tick_\",m.Line],[\"border_\",m.Line],[\"bar_\",m.Line],[\"background_\",m.Fill]]),this.define({location:[d.Any,\"top_right\"],orientation:[d.Orientation,\"vertical\"],title:[d.String],title_standoff:[d.Number,2],width:[d.Any,\"auto\"],height:[d.Any,\"auto\"],scale_alpha:[d.Number,1],ticker:[d.Instance,()=>new s.BasicTicker],formatter:[d.Instance,()=>new r.BasicTickFormatter],major_label_overrides:[d.Any,{}],color_mapper:[d.Instance],label_standoff:[d.Number,5],margin:[d.Number,30],padding:[d.Number,10],major_tick_in:[d.Number,5],major_tick_out:[d.Number,0],minor_tick_in:[d.Number,0],minor_tick_out:[d.Number,0]}),this.override({background_fill_color:\"#ffffff\",background_fill_alpha:.95,bar_line_color:null,border_line_color:null,major_label_text_align:\"center\",major_label_text_baseline:\"middle\",major_label_text_font_size:\"11px\",major_tick_line_color:\"#ffffff\",minor_tick_line_color:null,title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}}i.ColorBar=v,v.__name__=\"ColorBar\",v.init_ColorBar()},\n", - " function _(e,c,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(110);class r extends i.AdaptiveTicker{constructor(e){super(e)}}s.BasicTicker=r,r.__name__=\"BasicTicker\"},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const a=t(1),s=t(111),n=t(9),r=a.__importStar(t(18));class _ extends s.ContinuousTicker{constructor(t){super(t)}static init_AdaptiveTicker(){this.define({base:[r.Number,10],mantissas:[r.Array,[1,2,5]],min_interval:[r.Number,0],max_interval:[r.Number]})}initialize(){super.initialize();const t=n.nth(this.mantissas,-1)/this.base,i=n.nth(this.mantissas,0)*this.base;this.extended_mantissas=[t,...this.mantissas,i],this.base_factor=0===this.get_min_interval()?1:this.get_min_interval()}get_interval(t,i,e){const a=i-t,s=this.get_ideal_interval(t,i,e),r=Math.floor(function(t,i=Math.E){return Math.log(t)/Math.log(i)}(s/this.base_factor,this.base)),_=this.base**r*this.base_factor,h=this.extended_mantissas,m=h.map(t=>Math.abs(e-a/(t*_))),o=h[n.argmin(m)];return c=o*_,l=this.get_min_interval(),u=this.get_max_interval(),Math.max(l,Math.min(u,c));var c,l,u}}e.AdaptiveTicker=_,_.__name__=\"AdaptiveTicker\",_.init_AdaptiveTicker()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=t(1),r=t(112),s=n.__importStar(t(18)),o=t(9);class _ extends r.Ticker{constructor(t){super(t)}static init_ContinuousTicker(){this.define({num_minor_ticks:[s.Number,5],desired_num_ticks:[s.Number,6]})}get_ticks(t,i,e,n,r){return this.get_ticks_no_defaults(t,i,n,this.desired_num_ticks)}get_ticks_no_defaults(t,i,e,n){const r=this.get_interval(t,i,n),s=Math.floor(t/r),_=Math.ceil(i/r);let c;c=isNaN(s)||isNaN(_)?[]:o.range(s,_+1);const u=c.map(t=>t*r).filter(e=>t<=e&&e<=i),a=this.num_minor_ticks,l=[];if(a>0&&u.length>0){const e=r/a,n=o.range(0,a).map(t=>t*e);for(const e of n.slice(1)){const n=u[0]-e;t<=n&&n<=i&&l.push(n)}for(const e of u)for(const r of n){const n=e+r;t<=n&&n<=i&&l.push(n)}}return{major:u,minor:l}}get_min_interval(){return this.min_interval}get_max_interval(){return null!=this.max_interval?this.max_interval:1/0}get_ideal_interval(t,i,e){return(i-t)/e}}e.ContinuousTicker=_,_.__name__=\"ContinuousTicker\",_.init_ContinuousTicker()},\n", - " function _(e,c,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(71);class r extends o.Model{constructor(e){super(e)}}n.Ticker=r,r.__name__=\"Ticker\"},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=i(1),s=i(114),n=r.__importStar(i(18));class o extends s.TickFormatter{constructor(i){super(i),this.last_precision=3}static init_BasicTickFormatter(){this.define({precision:[n.Any,\"auto\"],use_scientific:[n.Boolean,!0],power_limit_high:[n.Number,5],power_limit_low:[n.Number,-3]})}get scientific_limit_low(){return 10**this.power_limit_low}get scientific_limit_high(){return 10**this.power_limit_high}_need_sci(i){if(!this.use_scientific)return!1;const{scientific_limit_high:t}=this,{scientific_limit_low:e}=this,r=i.length<2?0:Math.abs(i[1]-i[0])/1e4;for(const s of i){const i=Math.abs(s);if(!(i<=r)&&(i>=t||i<=e))return!0}return!1}_format_with_precision(i,t,e){const r=new Array(i.length);if(t)for(let t=0,s=i.length;t=1;r?s++:s--){if(t){e[0]=i[0].toExponential(s);for(let t=1;tu?null!=s?s:l[u]:l[f]}}}l.LinearColorMapper=i,i.__name__=\"LinearColorMapper\"},\n", - " function _(o,r,l){Object.defineProperty(l,\"__esModule\",{value:!0});const i=o(1),t=o(117),e=i.__importStar(o(18));class s extends t.ColorMapper{constructor(o){super(o)}static init_ContinuousColorMapper(){this.define({high:[e.Number],low:[e.Number],high_color:[e.Color],low_color:[e.Color]})}_colors(o){return Object.assign(Object.assign({},super._colors(o)),{low_color:null!=this.low_color?o(this.low_color):void 0,high_color:null!=this.high_color?o(this.high_color):void 0})}}l.ContinuousColorMapper=s,s.__name__=\"ContinuousColorMapper\",s.init_ContinuousColorMapper()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),o=t(118),_=n.__importStar(t(18)),i=t(8),l=t(20),c=t(28);function a(t){return i.isNumber(t)?t:(\"#\"!=t[0]&&(t=l.color2hex(t)),9!=t.length&&(t+=\"ff\"),parseInt(t.slice(1),16))}function s(t){const e=new Uint32Array(t.length);for(let r=0,n=t.length;rt)),e}get rgba_mapper(){const t=this,e=s(this.palette),r=this._colors(a);return{v_compute(n){const o=new Uint32Array(n.length);return t._v_compute(n,o,e,r),p(o)}}}_colors(t){return{nan_color:t(this.nan_color)}}}r.ColorMapper=u,u.__name__=\"ColorMapper\",u.init_ColorMapper()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(119);class s extends o.Transform{constructor(e){super(e)}compute(e){throw new Error(\"mapping single values is not supported\")}}n.Mapper=s,s.__name__=\"Mapper\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(71);class s extends r.Model{constructor(e){super(e)}}o.Transform=s,s.__name__=\"Transform\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=e(121);class _ extends r.ContinuousScale{constructor(e){super(e)}compute(e){return this._linear_compute(e)}v_compute(e){return this._linear_v_compute(e)}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}n.LinearScale=_,_.__name__=\"LinearScale\"},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const c=e(122);class s extends c.Scale{constructor(e){super(e)}}o.ContinuousScale=s,s.__name__=\"ContinuousScale\"},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=t(1),_=t(123),s=n.__importStar(t(18));class i extends _.Transform{constructor(t){super(t)}static init_Scale(){this.internal({source_range:[s.Any],target_range:[s.Any]})}r_compute(t,e){return this.target_range.is_reversed?[this.compute(e),this.compute(t)]:[this.compute(t),this.compute(e)]}r_invert(t,e){return this.target_range.is_reversed?[this.invert(e),this.invert(t)]:[this.invert(t),this.invert(e)]}_linear_compute(t){const[e,r]=this._linear_compute_state();return e*t+r}_linear_v_compute(t){const[e,r]=this._linear_compute_state(),n=new Float64Array(t.length);for(let _=0;_this._sorted_dirty=!0)}v_compute(t){const e=new Float64Array(t.length);for(let r=0;rt.x>e.x?-1:t.x==e.x?0:1):s.sort((t,e)=>t.xthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}if(t==this._x_sorted[0])return this._y_sorted[0];const s=_.find_last_index(this._x_sorted,s=>sthis._x_sorted[this._x_sorted.length-1])return NaN}else{if(tthis._x_sorted[this._x_sorted.length-1])return this._y_sorted[this._y_sorted.length-1]}let e;switch(this.mode){case\"after\":e=i.find_last_index(this._x_sorted,e=>t>=e);break;case\"before\":e=i.find_index(this._x_sorted,e=>t<=e);break;case\"center\":{const r=this._x_sorted.map(e=>Math.abs(e-t)),s=i.min(r);e=i.find_index(r,t=>s===t);break}default:throw new Error(\"unknown mode: \"+this.mode)}return-1!=e?this._y_sorted[e]:NaN}}r.StepInterpolator=n,n.__name__=\"StepInterpolator\",n.init_StepInterpolator()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const a=t(121);class s extends a.ContinuousScale{constructor(t){super(t)}compute(t){const[e,o,a,s]=this._compute_state();let n;if(0==a)n=0;else{const r=(Math.log(t)-s)/a;n=isFinite(r)?r*e+o:NaN}return n}v_compute(t){const[e,o,a,s]=this._compute_state(),n=new Float64Array(t.length);if(0==a)for(let e=0;ethis.render()):this.connect(this.model.change,()=>this.plot_view.request_render())}_calculate_text_dimensions(e,t){const{width:s}=e.measureText(t),{height:i}=o.measure_font(this.visuals.text.font_value());return[s,i]}_calculate_bounding_box_dimensions(e,t){const[s,i]=this._calculate_text_dimensions(e,t);let l,a;switch(e.textAlign){case\"left\":l=0;break;case\"center\":l=-s/2;break;case\"right\":l=-s;break;default:r.unreachable()}switch(e.textBaseline){case\"top\":a=0;break;case\"middle\":a=-.5*i;break;case\"bottom\":a=-1*i;break;case\"alphabetic\":a=-.8*i;break;case\"hanging\":a=-.17*i;break;case\"ideographic\":a=-.83*i;break;default:r.unreachable()}return[l,a,s,i]}_canvas_text(e,t,s,i,l){this.visuals.text.set_value(e);const a=this._calculate_bounding_box_dimensions(e,t);e.save(),e.beginPath(),e.translate(s,i),l&&e.rotate(l),e.rect(a[0],a[1],a[2],a[3]),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(e),e.fill()),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(e),e.stroke()),this.visuals.text.doit&&(this.visuals.text.set_value(e),e.fillText(t,0,0)),e.restore()}_css_text(e,t,s,i,l){a.undisplay(this.el),this.visuals.text.set_value(e);const n=this._calculate_bounding_box_dimensions(e,t),o=this.visuals.border_line.line_dash.value().length<2?\"solid\":\"dashed\";this.visuals.border_line.set_value(e),this.visuals.background_fill.set_value(e),this.el.style.position=\"absolute\",this.el.style.left=s+n[0]+\"px\",this.el.style.top=i+n[1]+\"px\",this.el.style.color=\"\"+this.visuals.text.text_color.value(),this.el.style.opacity=\"\"+this.visuals.text.text_alpha.value(),this.el.style.font=\"\"+this.visuals.text.font_value(),this.el.style.lineHeight=\"normal\",l&&(this.el.style.transform=`rotate(${l}rad)`),this.visuals.background_fill.doit&&(this.el.style.backgroundColor=\"\"+this.visuals.background_fill.color_value()),this.visuals.border_line.doit&&(this.el.style.borderStyle=\"\"+o,this.el.style.borderWidth=this.visuals.border_line.line_width.value()+\"px\",this.el.style.borderColor=\"\"+this.visuals.border_line.color_value()),this.el.textContent=t,a.display(this.el)}}s.TextAnnotationView=_,_.__name__=\"TextAnnotationView\";class h extends l.Annotation{constructor(e){super(e)}static init_TextAnnotation(){this.define({render_mode:[n.RenderMode,\"canvas\"]})}}s.TextAnnotation=h,h.__name__=\"TextAnnotation\",h.init_TextAnnotation()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(134),o=t(76),a=i.__importStar(t(23)),n=t(68),r=i.__importStar(t(18));class _ extends l.TextAnnotationView{initialize(){if(super.initialize(),this.set_data(this.model.source),\"css\"==this.model.render_mode)for(let t=0,e=this._text.length;t{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.render()})):(this.connect(this.model.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.streaming,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.patching,()=>{this.set_data(this.model.source),this.plot_view.request_render()}),this.connect(this.model.source.change,()=>{this.set_data(this.model.source),this.plot_view.request_render()}))}set_data(t){super.set_data(t),this.visuals.warm_cache(t)}_map_data(){const t=this.plot_view.frame.xscales[this.model.x_range_name],e=this.plot_view.frame.yscales[this.model.y_range_name],s=null!=this.panel?this.panel:this.plot_view.frame;return[\"data\"==this.model.x_units?t.v_compute(this._x):s.xview.v_compute(this._x),\"data\"==this.model.y_units?e.v_compute(this._y):s.yview.v_compute(this._y)]}render(){if(this.model.visible||\"css\"!=this.model.render_mode||n.undisplay(this.el),!this.model.visible)return;const t=\"canvas\"==this.model.render_mode?this._v_canvas_text.bind(this):this._v_css_text.bind(this),{ctx:e}=this.layer,[s,i]=this._map_data();for(let l=0,o=this._text.length;lnew o.ColumnDataSource],x_range_name:[r.String,\"default\"],y_range_name:[r.String,\"default\"]}),this.override({background_fill_color:null,border_line_color:null})}}s.LabelSet=h,h.__name__=\"LabelSet\",h.init_LabelSet()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),l=t(31),n=s.__importStar(t(23)),h=s.__importStar(t(18)),a=t(14),o=t(132),_=t(88),r=t(9),d=t(8),c=t(11);class g extends l.AnnotationView{cursor(t,e){return\"none\"==this.model.click_policy?null:\"pointer\"}get legend_padding(){return null!=this.visuals.border_line.line_color.value()?this.model.padding:0}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.item_change,()=>this.plot_view.request_render())}compute_legend_bbox(){const t=this.model.get_legend_names(),{glyph_height:e,glyph_width:i}=this.model,{label_height:s,label_width:l}=this.model;this.max_label_height=r.max([o.measure_font(this.visuals.label_text.font_value()).height,s,e]);const{ctx:n}=this.layer;n.save(),this.visuals.label_text.set_value(n),this.text_widths=new Map;for(const e of t)this.text_widths.set(e,r.max([n.measureText(e).width,l]));this.visuals.title_text.set_value(n),this.title_height=this.model.title?o.measure_font(this.visuals.title_text.font_value()).height+this.model.title_standoff:0,this.title_width=this.model.title?n.measureText(this.model.title).width:0,n.restore();const h=Math.max(r.max([...this.text_widths.values()]),0),a=this.model.margin,{legend_padding:g}=this,m=this.model.spacing,{label_standoff:b}=this.model;let u,f;if(\"vertical\"==this.model.orientation)u=t.length*this.max_label_height+Math.max(t.length-1,0)*m+2*g+this.title_height,f=r.max([h+i+b+2*g,this.title_width+2*g]);else{let e=2*g+Math.max(t.length-1,0)*m;for(const[,t]of this.text_widths)e+=r.max([t,l])+i+b;f=r.max([this.title_width+2*g,e]),u=this.max_label_height+this.title_height+2*g}const x=null!=this.panel?this.panel:this.plot_view.frame,[p,v]=x.bbox.ranges,{location:w}=this.model;let y,k;if(d.isString(w))switch(w){case\"top_left\":y=p.start+a,k=v.start+a;break;case\"top_center\":y=(p.end+p.start)/2-f/2,k=v.start+a;break;case\"top_right\":y=p.end-a-f,k=v.start+a;break;case\"bottom_right\":y=p.end-a-f,k=v.end-a-u;break;case\"bottom_center\":y=(p.end+p.start)/2-f/2,k=v.end-a-u;break;case\"bottom_left\":y=p.start+a,k=v.end-a-u;break;case\"center_left\":y=p.start+a,k=(v.end+v.start)/2-u/2;break;case\"center\":y=(p.end+p.start)/2-f/2,k=(v.end+v.start)/2-u/2;break;case\"center_right\":y=p.end-a-f,k=(v.end+v.start)/2-u/2}else if(d.isArray(w)&&2==w.length){const[t,e]=w;y=x.xview.compute(t),k=x.yview.compute(e)-u}else c.unreachable();return new _.BBox({left:y,top:k,width:f,height:u})}interactive_bbox(){return this.compute_legend_bbox()}interactive_hit(t,e){return this.interactive_bbox().contains(t,e)}on_hit(t,e){let i;const{glyph_width:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=i=l;const o=this.compute_legend_bbox(),r=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop();for(const g of c){const c=o.x+a,m=o.y+i+this.title_height;let b,u;if([b,u]=r?[o.width-2*l,this.max_label_height]:[this.text_widths.get(g)+s+h,this.max_label_height],new _.BBox({left:c,top:m,width:b,height:u}).contains(t,e)){switch(this.model.click_policy){case\"hide\":for(const t of d.renderers)t.visible=!t.visible;break;case\"mute\":for(const t of d.renderers)t.muted=!t.muted}return!0}r?i+=this.max_label_height+n:a+=this.text_widths.get(g)+s+h+n}}return!1}render(){if(!this.model.visible)return;if(0==this.model.items.length)return;for(const t of this.model.items)t.legend=this.model;const{ctx:t}=this.layer,e=this.compute_legend_bbox();t.save(),this._draw_legend_box(t,e),this._draw_legend_items(t,e),this.model.title&&this._draw_title(t,e),t.restore()}_draw_legend_box(t,e){t.beginPath(),t.rect(e.x,e.y,e.width,e.height),this.visuals.background_fill.set_value(t),t.fill(),this.visuals.border_line.doit&&(this.visuals.border_line.set_value(t),t.stroke())}_draw_legend_items(t,e){const{glyph_width:i,glyph_height:s}=this.model,{legend_padding:l}=this,n=this.model.spacing,{label_standoff:h}=this.model;let a=l,o=l;const _=\"vertical\"==this.model.orientation;for(const d of this.model.items){const c=d.get_labels_list_from_label_prop(),g=d.get_field_from_label_prop();if(0==c.length)continue;const m=(()=>{switch(this.model.click_policy){case\"none\":return!0;case\"hide\":return r.every(d.renderers,t=>t.visible);case\"mute\":return r.every(d.renderers,t=>!t.muted)}})();for(const r of c){const c=e.x+a,b=e.y+o+this.title_height,u=c+i,f=b+s;_?o+=this.max_label_height+n:a+=this.text_widths.get(r)+i+h+n,this.visuals.label_text.set_value(t),t.fillText(r,u+h,b+this.max_label_height/2);for(const e of d.renderers){this.plot_view.renderer_views.get(e).draw_legend(t,c,u,b,f,g,r,d.index)}if(!m){let s,n;[s,n]=_?[e.width-2*l,this.max_label_height]:[this.text_widths.get(r)+i+h,this.max_label_height],t.beginPath(),t.rect(c,b,s,n),this.visuals.inactive_fill.set_value(t),t.fill()}}}}_draw_title(t,e){this.visuals.title_text.doit&&(t.save(),t.translate(e.x0,e.y0+this.title_height),this.visuals.title_text.set_value(t),t.fillText(this.model.title,this.legend_padding,this.legend_padding-this.model.title_standoff),t.restore())}_get_size(){const{width:t,height:e}=this.compute_legend_bbox();return{width:t+2*this.model.margin,height:e+2*this.model.margin}}}i.LegendView=g,g.__name__=\"LegendView\";class m extends l.Annotation{constructor(t){super(t)}initialize(){super.initialize(),this.item_change=new a.Signal0(this,\"item_change\")}static init_Legend(){this.prototype.default_view=g,this.mixins([[\"label_\",n.Text],[\"title_\",n.Text],[\"inactive_\",n.Fill],[\"border_\",n.Line],[\"background_\",n.Fill]]),this.define({orientation:[h.Orientation,\"vertical\"],location:[h.Any,\"top_right\"],title:[h.String],title_standoff:[h.Number,5],label_standoff:[h.Number,5],glyph_height:[h.Number,20],glyph_width:[h.Number,20],label_height:[h.Number,20],label_width:[h.Number,20],margin:[h.Number,10],padding:[h.Number,10],spacing:[h.Number,3],items:[h.Array,[]],click_policy:[h.Any,\"none\"]}),this.override({border_line_color:\"#e5e5e5\",border_line_alpha:.5,border_line_width:1,background_fill_color:\"#ffffff\",background_fill_alpha:.95,inactive_fill_color:\"white\",inactive_fill_alpha:.7,label_text_font_size:\"13px\",label_text_baseline:\"middle\",title_text_font_size:\"13px\",title_text_font_style:\"italic\"})}get_legend_names(){const t=[];for(const e of this.items){const i=e.get_labels_list_from_label_prop();t.push(...i)}return t}}i.Legend=m,m.__name__=\"Legend\",m.init_Legend()},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),l=e(71),i=e(77),s=e(138),_=t.__importStar(e(18)),o=e(72),a=e(9);class u extends l.Model{constructor(e){super(e)}static init_LegendItem(){this.define({label:[_.StringSpec,null],renderers:[_.Array,[]],index:[_.Number,null]})}_check_data_sources_on_renderers(){if(null!=this.get_field_from_label_prop()){if(this.renderers.length<1)return!1;const e=this.renderers[0].data_source;if(null!=e)for(const r of this.renderers)if(r.data_source!=e)return!1}return!0}_check_field_label_on_data_source(){const e=this.get_field_from_label_prop();if(null!=e){if(this.renderers.length<1)return!1;const r=this.renderers[0].data_source;if(null!=r&&!a.includes(r.columns(),e))return!1}return!0}initialize(){super.initialize(),this.legend=null,this.connect(this.change,()=>{null!=this.legend&&this.legend.item_change.emit()}),this._check_data_sources_on_renderers()||o.logger.error(\"Non matching data sources on legend item renderers\"),this._check_field_label_on_data_source()||o.logger.error(\"Bad column name on label: \"+this.label)}get_field_from_label_prop(){const{label:e}=this;return s.isField(e)?e.field:null}get_labels_list_from_label_prop(){if(s.isValue(this.label)){const{value:e}=this.label;return null!=e?[e]:[]}const e=this.get_field_from_label_prop();if(null!=e){let r;if(!this.renderers[0]||null==this.renderers[0].data_source)return[\"No source found\"];if(r=this.renderers[0].data_source,r instanceof i.ColumnarDataSource){const n=r.get_column(e);return null!=n?a.uniq(Array.from(n)):[\"Invalid field\"]}}return[]}}n.LegendItem=u,u.__name__=\"LegendItem\",u.init_LegendItem()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(8);n.isValue=function(e){return t.isPlainObject(e)&&\"value\"in e},n.isField=function(e){return t.isPlainObject(e)&&\"field\"in e}},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(31),l=n.__importStar(t(23)),o=t(14),a=n.__importStar(t(18));class r extends s.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_render()),this.connect(this.model.data_update,()=>this.plot_view.request_render())}render(){if(!this.model.visible)return;const{xs:t,ys:e}=this.model;if(t.length!=e.length)return;if(t.length<3||e.length<3)return;const{frame:i}=this.plot_view,{ctx:n}=this.layer;for(let s=0,l=t.length;sthis.plot_view.request_render())}render(){this.model.visible&&this._draw_slope()}_draw_slope(){const e=this.model.gradient,t=this.model.y_intercept;if(null==e||null==t)return;const{frame:i}=this.plot_view,n=i.xscales[this.model.x_range_name],s=i.yscales[this.model.y_range_name],l=i._top.value,o=l+i._height.value,r=(s.invert(l)-t)/e,a=(s.invert(o)-t)/e,_=n.compute(r),c=n.compute(a),{ctx:u}=this.layer;u.save(),u.beginPath(),this.visuals.line.set_value(u),u.moveTo(_,l),u.lineTo(c,o),u.stroke(),u.restore()}}i.SlopeView=r,r.__name__=\"SlopeView\";class a extends s.Annotation{constructor(e){super(e)}static init_Slope(){this.prototype.default_view=r,this.mixins(l.Line),this.define({gradient:[o.Number,null],y_intercept:[o.Number,null],x_range_name:[o.String,\"default\"],y_range_name:[o.String,\"default\"]}),this.override({line_color:\"black\"})}}i.Slope=a,a.__name__=\"Slope\",a.init_Slope()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),o=e(31),s=n.__importStar(e(23)),a=n.__importStar(e(18));class l extends o.AnnotationView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint(this))}render(){if(!this.model.visible)return;const{location:e}=this.model;if(null==e)return;const{frame:t}=this.plot_view,i=t.xscales[this.model.x_range_name],n=t.yscales[this.model.y_range_name],o=(t,i)=>\"data\"==this.model.location_units?t.compute(e):this.model.for_hover?e:i.compute(e);let s,a,l,r;\"width\"==this.model.dimension?(l=o(n,t.yview),a=t._left.value,r=t._width.value,s=this.model.properties.line_width.value()):(l=t._top.value,a=o(i,t.xview),r=this.model.properties.line_width.value(),s=t._height.value);const{ctx:_}=this.layer;_.save(),_.beginPath(),this.visuals.line.set_value(_),_.moveTo(a,l),\"width\"==this.model.dimension?_.lineTo(a+r,l):_.lineTo(a,l+s),_.stroke(),_.restore()}}i.SpanView=l,l.__name__=\"SpanView\";class r extends o.Annotation{constructor(e){super(e)}static init_Span(){this.prototype.default_view=l,this.mixins(s.Line),this.define({render_mode:[a.RenderMode,\"canvas\"],x_range_name:[a.String,\"default\"],y_range_name:[a.String,\"default\"],location:[a.Number,null],location_units:[a.SpatialUnits,\"data\"],dimension:[a.Dimension,\"width\"]}),this.override({line_color:\"black\"}),this.internal({for_hover:[a.Boolean,!1]})}}i.Span=r,r.__name__=\"Span\",r.init_Span()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1),a=e(134),s=e(68),n=e(70),o=l.__importStar(e(23)),r=l.__importStar(e(18));class _ extends a.TextAnnotationView{initialize(){super.initialize(),this.visuals.text=new n.Text(this.model)}_get_location(){const e=this.panel,t=this.model.offset;let i,l;switch(e.side){case\"above\":case\"below\":switch(this.model.vertical_align){case\"top\":l=e._top.value+5;break;case\"middle\":l=e._vcenter.value;break;case\"bottom\":l=e._bottom.value-5}switch(this.model.align){case\"left\":i=e._left.value+t;break;case\"center\":i=e._hcenter.value;break;case\"right\":i=e._right.value-t}break;case\"left\":switch(this.model.vertical_align){case\"top\":i=e._left.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._right.value+5}switch(this.model.align){case\"left\":l=e._bottom.value-t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._top.value+t}break;case\"right\":switch(this.model.vertical_align){case\"top\":i=e._right.value-5;break;case\"middle\":i=e._hcenter.value;break;case\"bottom\":i=e._left.value+5}switch(this.model.align){case\"left\":l=e._top.value+t;break;case\"center\":l=e._vcenter.value;break;case\"right\":l=e._bottom.value-t}}return[i,l]}render(){if(!this.model.visible)return void(\"css\"==this.model.render_mode&&s.undisplay(this.el));const{text:e}=this.model;if(null==e||0==e.length)return;this.model.text_baseline=this.model.vertical_align,this.model.text_align=this.model.align;const[t,i]=this._get_location(),l=this.panel.get_label_angle_heuristic(\"parallel\");(\"canvas\"==this.model.render_mode?this._canvas_text.bind(this):this._css_text.bind(this))(this.layer.ctx,e,t,i,l)}_get_size(){const{text:e}=this.model;if(null==e||0==e.length)return{width:0,height:0};{this.visuals.text.set_value(this.layer.ctx);const{width:t,ascent:i}=this.layer.ctx.measureText(e);return{width:t,height:i*this.visuals.text.text_line_height.value()+10}}}}i.TitleView=_,_.__name__=\"TitleView\";class c extends a.TextAnnotation{constructor(e){super(e)}static init_Title(){this.prototype.default_view=_,this.mixins([[\"border_\",o.Line],[\"background_\",o.Fill]]),this.define({text:[r.String],text_font:[r.Font,\"helvetica\"],text_font_size:[r.StringSpec,\"13px\"],text_font_style:[r.FontStyle,\"bold\"],text_color:[r.ColorSpec,\"#444444\"],text_alpha:[r.NumberSpec,1],text_line_height:[r.Number,1],vertical_align:[r.VerticalAlign,\"bottom\"],align:[r.TextAlign,\"left\"],offset:[r.Number,0]}),this.override({background_fill_color:null,border_line_color:null}),this.internal({text_align:[r.TextAlign,\"left\"],text_baseline:[r.TextBaseline,\"bottom\"]})}}i.Title=c,c.__name__=\"Title\",c.init_Title()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(31),s=e(99),a=e(68),n=o.__importStar(e(18));class r extends l.AnnotationView{constructor(){super(...arguments),this.rotate=!0}initialize(){super.initialize(),this.plot_view.canvas_view.add_event(this.el)}async lazy_initialize(){this._toolbar_view=await s.build_view(this.model.toolbar,{parent:this}),this.plot_view.visibility_callbacks.push(e=>this._toolbar_view.set_visibility(e))}remove(){this._toolbar_view.remove(),super.remove()}render(){super.render(),this.model.visible?(this.el.style.position=\"absolute\",this.el.style.overflow=\"hidden\",a.position(this.el,this.panel.bbox),this._toolbar_view.render(),a.empty(this.el),this.el.appendChild(this._toolbar_view.el),a.display(this.el)):a.undisplay(this.el)}_get_size(){const{tools:e,logo:i}=this.model.toolbar;return{width:30*e.length+(null!=i?25:0),height:30}}}t.ToolbarPanelView=r,r.__name__=\"ToolbarPanelView\";class _ extends l.Annotation{constructor(e){super(e)}static init_ToolbarPanel(){this.prototype.default_view=r,this.define({toolbar:[n.Instance]})}}t.ToolbarPanel=_,_.__name__=\"ToolbarPanel\",_.init_ToolbarPanel()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),l=t(31),o=t(68),a=i.__importStar(t(18)),h=t(145),n=t(146),r=i.__importDefault(t(147));function c(t,e,s,i,l){switch(t){case\"horizontal\":return ethis._draw_tips())}styles(){return[...super.styles(),r.default]}css_classes(){return super.css_classes().concat(h.bk_tooltip)}render(){this.model.visible&&this._draw_tips()}_draw_tips(){const{data:t}=this.model;if(o.empty(this.el),o.undisplay(this.el),this.model.custom?this.el.classList.add(h.bk_tooltip_custom):this.el.classList.remove(h.bk_tooltip_custom),0==t.length)return;const{frame:e}=this.plot_view;for(const[s,i,l]of t){if(this.model.inner_only&&!e.bbox.contains(s,i))continue;const t=o.div({},l);this.el.appendChild(t)}const[s,i]=t[t.length-1],l=c(this.model.attachment,s,i,e._hcenter.value,e._vcenter.value);this.el.classList.remove(n.bk_right),this.el.classList.remove(n.bk_left),this.el.classList.remove(n.bk_above),this.el.classList.remove(n.bk_below);let a;o.display(this.el);let r=0,d=0;switch(l){case\"right\":this.el.classList.add(n.bk_left),r=s+(this.el.offsetWidth-this.el.clientWidth)+10,a=i-this.el.offsetHeight/2;break;case\"left\":this.el.classList.add(n.bk_right),d=this.plot_view.layout.bbox.width-s+10,a=i-this.el.offsetHeight/2;break;case\"below\":this.el.classList.add(n.bk_above),a=i+(this.el.offsetHeight-this.el.clientHeight)+10,r=Math.round(s-this.el.offsetWidth/2);break;case\"above\":this.el.classList.add(n.bk_below),a=i-this.el.offsetHeight-10,r=Math.round(s-this.el.offsetWidth/2)}this.model.show_arrow&&this.el.classList.add(h.bk_tooltip_arrow),this.el.childNodes.length>0?(this.el.style.top=a+\"px\",this.el.style.left=r?r+\"px\":\"auto\",this.el.style.right=d?d+\"px\":\"auto\"):o.undisplay(this.el)}}s.TooltipView=d,d.__name__=\"TooltipView\";class _ extends l.Annotation{constructor(t){super(t)}static init_Tooltip(){this.prototype.default_view=d,this.define({attachment:[a.TooltipAttachment,\"horizontal\"],inner_only:[a.Boolean,!0],show_arrow:[a.Boolean,!0]}),this.override({level:\"overlay\"}),this.internal({data:[a.Any,[]],custom:[a.Any]})}clear(){this.data=[]}add(t,e,s){this.data=this.data.concat([[t,e,s]])}}s.Tooltip=_,_.__name__=\"Tooltip\",_.init_Tooltip()},\n", - " function _(o,t,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tooltip=\"bk-tooltip\",l.bk_tooltip_arrow=\"bk-tooltip-arrow\",l.bk_tooltip_custom=\"bk-tooltip-custom\",l.bk_tooltip_row_label=\"bk-tooltip-row-label\",l.bk_tooltip_row_value=\"bk-tooltip-row-value\",l.bk_tooltip_color_block=\"bk-tooltip-color-block\"},\n", - " function _(e,b,k){Object.defineProperty(k,\"__esModule\",{value:!0}),k.bk_active=\"bk-active\",k.bk_inline=\"bk-inline\",k.bk_left=\"bk-left\",k.bk_right=\"bk-right\",k.bk_above=\"bk-above\",k.bk_below=\"bk-below\",k.bk_up=\"bk-up\",k.bk_down=\"bk-down\",k.bk_side=function(e){switch(e){case\"above\":return k.bk_above;case\"below\":return k.bk_below;case\"left\":return k.bk_left;case\"right\":return k.bk_right}}},\n", - " function _(o,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root {\\n /* Same border color used everywhere */\\n /* Gray of icons */\\n}\\n.bk-root .bk-tooltip {\\n font-weight: 300;\\n font-size: 12px;\\n position: absolute;\\n padding: 5px;\\n border: 1px solid #e5e5e5;\\n color: #2f2f2f;\\n background-color: white;\\n pointer-events: none;\\n opacity: 0.95;\\n z-index: 100;\\n}\\n.bk-root .bk-tooltip > div:not(:first-child) {\\n /* gives space when multiple elements are being hovered over */\\n margin-top: 5px;\\n border-top: #e5e5e5 1px dashed;\\n}\\n.bk-root .bk-tooltip.bk-left.bk-tooltip-arrow::before {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-left::before {\\n left: -10px;\\n border-right-width: 10px;\\n border-right-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right.bk-tooltip-arrow::after {\\n position: absolute;\\n margin: -7px 0 0 0;\\n top: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 7px 0 7px 0;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-right::after {\\n right: -10px;\\n border-left-width: 10px;\\n border-left-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-above::before {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n top: -10px;\\n border-bottom-width: 10px;\\n border-bottom-color: #909599;\\n}\\n.bk-root .bk-tooltip.bk-below::after {\\n position: absolute;\\n margin: 0 0 0 -7px;\\n left: 50%;\\n width: 0;\\n height: 0;\\n border-style: solid;\\n border-width: 0 7px 0 7px;\\n border-color: transparent;\\n content: \" \";\\n display: block;\\n bottom: -10px;\\n border-top-width: 10px;\\n border-top-color: #909599;\\n}\\n.bk-root .bk-tooltip-row-label {\\n text-align: right;\\n color: #26aae1;\\n /* blue from toolbar highlighting */\\n}\\n.bk-root .bk-tooltip-row-value {\\n color: default;\\n /* seems to be necessary for notebook */\\n}\\n.bk-root .bk-tooltip-color-block {\\n width: 12px;\\n height: 12px;\\n margin-left: 5px;\\n margin-right: 5px;\\n outline: #dddddd solid 1px;\\n display: inline-block;\\n}\\n'},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(31),o=e(76),a=e(75),n=e(23),h=i.__importStar(e(18));class _ extends r.AnnotationView{initialize(){super.initialize(),this.set_data(this.model.source)}connect_signals(){super.connect_signals(),this.connect(this.model.source.streaming,()=>this.set_data(this.model.source)),this.connect(this.model.source.patching,()=>this.set_data(this.model.source)),this.connect(this.model.source.change,()=>this.set_data(this.model.source))}set_data(e){super.set_data(e),this.visuals.warm_cache(e),this.plot_view.request_render()}_map_data(){const{frame:e}=this.plot_view,t=this.model.dimension,s=e.xscales[this.model.x_range_name],i=e.yscales[this.model.y_range_name],r=\"height\"==t?i:s,o=\"height\"==t?s:i,a=\"height\"==t?e.yview:e.xview,n=\"height\"==t?e.xview:e.yview;let h,_,l;h=\"data\"==this.model.properties.lower.units?r.v_compute(this._lower):a.v_compute(this._lower),_=\"data\"==this.model.properties.upper.units?r.v_compute(this._upper):a.v_compute(this._upper),l=\"data\"==this.model.properties.base.units?o.v_compute(this._base):n.v_compute(this._base);const[d,p]=\"height\"==t?[1,0]:[0,1],c=[h,l],u=[_,l];this._lower_sx=c[d],this._lower_sy=c[p],this._upper_sx=u[d],this._upper_sy=u[p]}render(){if(!this.model.visible)return;this._map_data();const{ctx:e}=this.layer;if(this.visuals.line.doit)for(let t=0,s=this._lower_sx.length;tnew a.TeeHead({level:\"underlay\",size:10})],upper:[h.DistanceSpec],upper_head:[h.Instance,()=>new a.TeeHead({level:\"underlay\",size:10})],base:[h.DistanceSpec],dimension:[h.Dimension,\"height\"],source:[h.Instance,()=>new o.ColumnDataSource],x_range_name:[h.String,\"default\"],y_range_name:[h.String,\"default\"]}),this.override({level:\"underlay\"})}}s.Whisker=l,l.__name__=\"Whisker\",l.init_Whisker()},\n", - " function _(i,a,e){Object.defineProperty(e,\"__esModule\",{value:!0});var r=i(150);e.Axis=r.Axis;var s=i(152);e.CategoricalAxis=s.CategoricalAxis;var x=i(155);e.ContinuousAxis=x.ContinuousAxis;var A=i(156);e.DatetimeAxis=A.DatetimeAxis;var o=i(157);e.LinearAxis=o.LinearAxis;var t=i(170);e.LogAxis=t.LogAxis;var n=i(173);e.MercatorAxis=n.MercatorAxis},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(151),l=s.__importStar(e(23)),n=s.__importStar(e(18)),o=e(9),r=e(8),_=e(90),{abs:h,min:c,max:m}=Math;class d extends a.GuideRendererView{constructor(){super(...arguments),this.rotate=!0}get panel(){return this.layout}render(){if(!this.model.visible)return;const e={tick:this._tick_extent(),tick_label:this._tick_label_extents(),axis_label:this._axis_label_extent()},t=this.tick_coords,i=this.layer.ctx;i.save(),this._draw_rule(i,e),this._draw_major_ticks(i,e,t),this._draw_minor_ticks(i,e,t),this._draw_major_labels(i,e,t),this._draw_axis_label(i,e,t),null!=this._render&&this._render(i,e,t),i.restore()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.plot_view.request_paint());const e=this.model.properties;this.on_change(e.visible,()=>this.plot_view.request_layout())}get_size(){if(this.model.visible&&null==this.model.fixed_location){const e=this._get_size();return{width:0,height:Math.round(e)}}return{width:0,height:0}}_get_size(){return this._tick_extent()+this._tick_label_extent()+this._axis_label_extent()}get needs_clip(){return null!=this.model.fixed_location}_draw_rule(e,t){if(!this.visuals.axis_line.doit)return;const[i,s]=this.rule_coords,[a,l]=this.plot_view.map_to_screen(i,s,this.model.x_range_name,this.model.y_range_name),[n,o]=this.normals,[r,_]=this.offsets;this.visuals.axis_line.set_value(e),e.beginPath(),e.moveTo(Math.round(a[0]+n*r),Math.round(l[0]+o*_));for(let t=1;tc&&(c=o)}return c>0&&(c+=s),c}get normals(){return this.panel.normals}get dimension(){return this.panel.dimension}compute_labels(e){const t=this.model.formatter.doFormat(e,this);for(let i=0;ih(n-o)?(e=m(c(a,l),n),s=c(m(a,l),o)):(e=c(a,l),s=m(a,l)),[e,s]}throw new Error(`user bounds '${t}' not understood`)}get rule_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=[new Array(2),new Array(2)];return l[e][0]=Math.max(s,i.min),l[e][1]=Math.min(a,i.max),l[e][0]>l[e][1]&&(l[e][0]=l[e][1]=NaN),l[t][0]=this.loc,l[t][1]=this.loc,l}get tick_coords(){const e=this.dimension,t=(e+1)%2,[i]=this.ranges,[s,a]=this.computed_bounds,l=this.model.ticker.get_ticks(s,a,i,this.loc,{}),n=l.major,o=l.minor,r=[[],[]],_=[[],[]],[h,c]=[i.min,i.max];for(let i=0;ic||(r[e].push(n[i]),r[t].push(this.loc));for(let i=0;ic||(_[e].push(o[i]),_[t].push(this.loc));return{major:r,minor:_}}get loc(){const{fixed_location:e}=this.model;if(null!=e){if(r.isNumber(e))return e;const[,t]=this.ranges;if(t instanceof _.FactorRange)return t.synthetic(e);throw new Error(\"unexpected\")}const[,t]=this.ranges;switch(this.panel.side){case\"left\":case\"below\":return t.start;case\"right\":case\"above\":return t.end}}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box})}}i.AxisView=d,d.__name__=\"AxisView\";class u extends a.GuideRenderer{constructor(e){super(e)}static init_Axis(){this.prototype.default_view=d,this.mixins([[\"axis_\",l.Line],[\"major_tick_\",l.Line],[\"minor_tick_\",l.Line],[\"major_label_\",l.Text],[\"axis_label_\",l.Text]]),this.define({bounds:[n.Any,\"auto\"],ticker:[n.Instance],formatter:[n.Instance],x_range_name:[n.String,\"default\"],y_range_name:[n.String,\"default\"],axis_label:[n.String,\"\"],axis_label_standoff:[n.Int,5],major_label_standoff:[n.Int,5],major_label_orientation:[n.Any,\"horizontal\"],major_label_overrides:[n.Any,{}],major_tick_in:[n.Number,2],major_tick_out:[n.Number,6],minor_tick_in:[n.Number,0],minor_tick_out:[n.Number,4],fixed_location:[n.Any,null]}),this.override({axis_line_color:\"black\",major_tick_line_color:\"black\",minor_tick_line_color:\"black\",major_label_text_font_size:\"11px\",major_label_text_align:\"center\",major_label_text_baseline:\"alphabetic\",axis_label_text_font_size:\"13px\",axis_label_text_font_style:\"italic\"})}}i.Axis=u,u.__name__=\"Axis\",u.init_Axis()},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});const i=e(65);class n extends i.RendererView{}d.GuideRendererView=n,n.__name__=\"GuideRendererView\";class t extends i.Renderer{constructor(e){super(e)}static init_GuideRenderer(){this.override({level:\"guide\"})}}d.GuideRenderer=t,t.__name__=\"GuideRenderer\",t.init_GuideRenderer()},\n", - " function _(t,s,o){Object.defineProperty(o,\"__esModule\",{value:!0});const e=t(1),i=t(150),r=t(153),a=t(154),l=e.__importStar(t(23)),_=e.__importStar(t(18));class n extends i.AxisView{_render(t,s,o){this._draw_group_separators(t,s,o)}_draw_group_separators(t,s,o){const[e]=this.ranges,[i,r]=this.computed_bounds;if(!e.tops||e.tops.length<2||!this.visuals.separator_line.doit)return;const a=this.dimension,l=(a+1)%2,_=[[],[]];let n=0;for(let t=0;ti&&ht[1]),s=this.model.formatter.doFormat(t,this);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}else if(3==t.levels){const t=i.major.map(t=>t[2]),s=this.model.formatter.doFormat(t,this),o=i.mids.map(t=>t[1]);a.push([s,r.major,this.model.major_label_orientation,this.visuals.major_label_text]),a.push([o,r.mids,this.model.subgroup_label_orientation,this.visuals.subgroup_text]),a.push([i.tops,r.tops,this.model.group_label_orientation,this.visuals.group_text])}return a}get tick_coords(){const t=this.dimension,s=(t+1)%2,[o]=this.ranges,[e,i]=this.computed_bounds,r=this.model.ticker.get_ticks(e,i,o,this.loc,{}),a={major:[[],[]],mids:[[],[]],tops:[[],[]],minor:[[],[]]};return a.major[t]=r.major,a.major[s]=r.major.map(t=>this.loc),3==o.levels&&(a.mids[t]=r.mids,a.mids[s]=r.mids.map(t=>this.loc)),o.levels>1&&(a.tops[t]=r.tops,a.tops[s]=r.tops.map(t=>this.loc)),a}}o.CategoricalAxisView=n,n.__name__=\"CategoricalAxisView\";class h extends i.Axis{constructor(t){super(t)}static init_CategoricalAxis(){this.prototype.default_view=n,this.mixins([[\"separator_\",l.Line],[\"group_\",l.Text],[\"subgroup_\",l.Text]]),this.define({group_label_orientation:[_.Any,\"parallel\"],subgroup_label_orientation:[_.Any,\"parallel\"]}),this.override({ticker:()=>new r.CategoricalTicker,formatter:()=>new a.CategoricalTickFormatter,separator_line_color:\"lightgrey\",separator_line_width:2,group_text_font_style:\"bold\",group_text_font_size:\"11px\",group_text_color:\"grey\",subgroup_text_font_style:\"bold\",subgroup_text_font_size:\"11px\"})}}o.CategoricalAxis=h,h.__name__=\"CategoricalAxis\",h.init_CategoricalAxis()},\n", - " function _(t,c,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=t(112);class s extends o.Ticker{constructor(t){super(t)}get_ticks(t,c,e,o,s){return{major:this._collect(e.factors,e,t,c),minor:[],tops:this._collect(e.tops||[],e,t,c),mids:this._collect(e.mids||[],e,t,c)}}_collect(t,c,e,o){const s=[];for(const r of t){const t=c.synthetic(r);t>e&&tnew r.DatetimeTicker,formatter:()=>new a.DatetimeTickFormatter})}}i.DatetimeAxis=_,_.__name__=\"DatetimeAxis\",_.init_DatetimeAxis()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(150),n=e(155),r=e(113),a=e(109);class _ extends t.AxisView{}s.LinearAxisView=_,_.__name__=\"LinearAxisView\";class c extends n.ContinuousAxis{constructor(e){super(e)}static init_LinearAxis(){this.prototype.default_view=_,this.override({ticker:()=>new a.BasicTicker,formatter:()=>new r.BasicTickFormatter})}}s.LinearAxis=c,c.__name__=\"LinearAxis\",c.init_LinearAxis()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const r=t(1),i=r.__importDefault(t(159)),n=t(114),o=t(72),a=r.__importStar(t(18)),c=t(160),m=t(9),u=t(8);function h(t){return i.default(t,\"%Y %m %d %H %M %S\").split(/\\s+/).map(t=>parseInt(t,10))}function d(t,s){if(u.isFunction(s))return s(t);{const e=c.sprintf(\"$1%06d\",function(t){return Math.round(t/1e3%1*1e6)}(t));return-1==(s=s.replace(/((^|[^%])(%%)*)%f/,e)).indexOf(\"%\")?s:i.default(t,s)}}const l=[\"microseconds\",\"milliseconds\",\"seconds\",\"minsec\",\"minutes\",\"hourmin\",\"hours\",\"days\",\"months\",\"years\"];class _ extends n.TickFormatter{constructor(t){super(t),this.strip_leading_zeros=!0}static init_DatetimeTickFormatter(){this.define({microseconds:[a.Array,[\"%fus\"]],milliseconds:[a.Array,[\"%3Nms\",\"%S.%3Ns\"]],seconds:[a.Array,[\"%Ss\"]],minsec:[a.Array,[\":%M:%S\"]],minutes:[a.Array,[\":%M\",\"%Mm\"]],hourmin:[a.Array,[\"%H:%M\"]],hours:[a.Array,[\"%Hh\",\"%H:%M\"]],days:[a.Array,[\"%m/%d\",\"%a%d\"]],months:[a.Array,[\"%m/%Y\",\"%b %Y\"]],years:[a.Array,[\"%Y\"]]})}initialize(){super.initialize(),this._update_width_formats()}_update_width_formats(){const t=+i.default(new Date),s=function(s){const e=s.map(s=>d(t,s).length),r=m.sort_by(m.zip(e,s),([t])=>t);return m.unzip(r)};this._width_formats={microseconds:s(this.microseconds),milliseconds:s(this.milliseconds),seconds:s(this.seconds),minsec:s(this.minsec),minutes:s(this.minutes),hourmin:s(this.hourmin),hours:s(this.hours),days:s(this.days),months:s(this.months),years:s(this.years)}}_get_resolution_str(t,s){const e=1.1*t;switch(!1){case!(e<.001):return\"microseconds\";case!(e<1):return\"milliseconds\";case!(e<60):return s>=60?\"minsec\":\"seconds\";case!(e<3600):return s>=3600?\"hourmin\":\"minutes\";case!(e<86400):return\"hours\";case!(e<2678400):return\"days\";case!(e<31536e3):return\"months\";default:return\"years\"}}doFormat(t,s){if(0==t.length)return[];const e=Math.abs(t[t.length-1]-t[0])/1e3,r=e/(t.length-1),i=this._get_resolution_str(r,e),[,[n]]=this._width_formats[i],a=[],c=l.indexOf(i),m={};for(const t of l)m[t]=0;m.seconds=5,m.minsec=4,m.minutes=4,m.hourmin=3,m.hours=3;for(const s of t){let t,e;try{e=h(s),t=d(s,n)}catch(t){o.logger.warn(\"unable to format tick for timestamp value \"+s),o.logger.warn(\" - \"+t),a.push(\"ERR\");continue}let r=!1,u=c;for(;0==e[m[l[u]]];){let n;if(u+=1,u==l.length)break;if((\"minsec\"==i||\"hourmin\"==i)&&!r){if(\"minsec\"==i&&0==e[4]&&0!=e[5]||\"hourmin\"==i&&0==e[3]&&0!=e[4]){n=this._width_formats[l[c-1]][1][0],t=d(s,n);break}r=!0}n=this._width_formats[l[u]][1][0],t=d(s,n)}if(this.strip_leading_zeros){let s=t.replace(/^0+/g,\"\");s!=t&&isNaN(parseInt(s))&&(s=\"0\"+s),a.push(s)}else a.push(t)}return a}}e.DatetimeTickFormatter=_,_.__name__=\"DatetimeTickFormatter\",_.init_DatetimeTickFormatter()},\n", - " function _(e,t,n){!function(e){\"object\"==typeof t&&t.exports?t.exports=e():\"function\"==typeof define?define(e):this.tz=e()}((function(){function e(e,t,n){var r,o=t.day[1];do{r=new Date(Date.UTC(n,t.month,Math.abs(o++)))}while(t.day[0]<7&&r.getUTCDay()!=t.day[0]);return(r={clock:t.clock,sort:r.getTime(),rule:t,save:6e4*t.save,offset:e.offset})[r.clock]=r.sort+6e4*t.time,r.posix?r.wallclock=r[r.clock]+(e.offset+t.saved):r.posix=r[r.clock]-(e.offset+t.saved),r}function t(t,n,r){var o,a,u,i,l,s,c,f=t[t.zone],h=[],T=new Date(r).getUTCFullYear(),g=1;for(o=1,a=f.length;o=T-g;--c)for(o=0,a=s.length;o=h[o][n]&&h[o][h[o].clock]>u[h[o].clock]&&(i=h[o])}return i&&((l=/^(.*)\\/(.*)$/.exec(u.format))?i.abbrev=l[i.save?2:1]:i.abbrev=u.format.replace(/%s/,i.rule.letter)),i||u}function n(e,n){return\"UTC\"==e.zone?n:(e.entry=t(e,\"posix\",n),n+e.entry.offset+e.entry.save)}function r(e,n){return\"UTC\"==e.zone?n:(e.entry=r=t(e,\"wallclock\",n),0<(o=n-r.wallclock)&&o9)t+=s*l[c-10];else{if(a=new Date(n(e,t)),c<7)for(;s;)a.setUTCDate(a.getUTCDate()+i),a.getUTCDay()==c&&(s-=i);else 7==c?a.setUTCFullYear(a.getUTCFullYear()+s):8==c?a.setUTCMonth(a.getUTCMonth()+s):a.setUTCDate(a.getUTCDate()+s);null==(t=r(e,a.getTime()))&&(t=r(e,a.getTime()+864e5*i)-864e5*i)}return t}var a={clock:function(){return+new Date},zone:\"UTC\",entry:{abbrev:\"UTC\",offset:0,save:0},UTC:1,z:function(e,t,n,r){var o,a,u=this.entry.offset+this.entry.save,i=Math.abs(u/1e3),l=[],s=3600;for(o=0;o<3;o++)l.push((\"0\"+Math.floor(i/s)).slice(-2)),i%=s,s/=60;return\"^\"!=n||u?(\"^\"==n&&(r=3),3==r?(a=(a=l.join(\":\")).replace(/:00$/,\"\"),\"^\"!=n&&(a=a.replace(/:00$/,\"\"))):r?(a=l.slice(0,r+1).join(\":\"),\"^\"==n&&(a=a.replace(/:00$/,\"\"))):a=l.slice(0,2).join(\"\"),a=(a=(u<0?\"-\":\"+\")+a).replace(/([-+])(0)/,{_:\" $1\",\"-\":\"$1\"}[n]||\"$1$2\")):\"Z\"},\"%\":function(e){return\"%\"},n:function(e){return\"\\n\"},t:function(e){return\"\\t\"},U:function(e){return s(e,0)},W:function(e){return s(e,1)},V:function(e){return c(e)[0]},G:function(e){return c(e)[1]},g:function(e){return c(e)[1]%100},j:function(e){return Math.floor((e.getTime()-Date.UTC(e.getUTCFullYear(),0))/864e5)+1},s:function(e){return Math.floor(e.getTime()/1e3)},C:function(e){return Math.floor(e.getUTCFullYear()/100)},N:function(e){return e.getTime()%1e3*1e6},m:function(e){return e.getUTCMonth()+1},Y:function(e){return e.getUTCFullYear()},y:function(e){return e.getUTCFullYear()%100},H:function(e){return e.getUTCHours()},M:function(e){return e.getUTCMinutes()},S:function(e){return e.getUTCSeconds()},e:function(e){return e.getUTCDate()},d:function(e){return e.getUTCDate()},u:function(e){return e.getUTCDay()||7},w:function(e){return e.getUTCDay()},l:function(e){return e.getUTCHours()%12||12},I:function(e){return e.getUTCHours()%12||12},k:function(e){return e.getUTCHours()},Z:function(e){return this.entry.abbrev},a:function(e){return this[this.locale].day.abbrev[e.getUTCDay()]},A:function(e){return this[this.locale].day.full[e.getUTCDay()]},h:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},b:function(e){return this[this.locale].month.abbrev[e.getUTCMonth()]},B:function(e){return this[this.locale].month.full[e.getUTCMonth()]},P:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)].toLowerCase()},p:function(e){return this[this.locale].meridiem[Math.floor(e.getUTCHours()/12)]},R:function(e,t){return this.convert([t,\"%H:%M\"])},T:function(e,t){return this.convert([t,\"%H:%M:%S\"])},D:function(e,t){return this.convert([t,\"%m/%d/%y\"])},F:function(e,t){return this.convert([t,\"%Y-%m-%d\"])},x:function(e,t){return this.convert([t,this[this.locale].date])},r:function(e,t){return this.convert([t,this[this.locale].time12||\"%I:%M:%S\"])},X:function(e,t){return this.convert([t,this[this.locale].time24])},c:function(e,t){return this.convert([t,this[this.locale].dateTime])},convert:function(e){if(!e.length)return\"1.0.23\";var t,a,u,l,s,c=Object.create(this),f=[];for(t=0;t=o?Math.floor((n-o)/7)+1:0}function c(e){var t,n,r;return n=e.getUTCFullYear(),t=new Date(Date.UTC(n,0)).getUTCDay(),(r=s(e,1)+(t>1&&t<=4?1:0))?53!=r||4==t||3==t&&29==new Date(n,1,29).getDate()?[r,e.getUTCFullYear()]:[1,e.getUTCFullYear()+1]:(n=e.getUTCFullYear()-1,[r=4==(t=new Date(Date.UTC(n,0)).getUTCDay())||3==t&&29==new Date(n,1,29).getDate()?53:52,e.getUTCFullYear()-1])}return u=u.toLowerCase().split(\"|\"),\"delmHMSUWVgCIky\".replace(/./g,(function(e){a[e].pad=2})),a.N.pad=9,a.j.pad=3,a.k.style=\"_\",a.l.style=\"_\",a.e.style=\"_\",function(){return a.convert(arguments)}}))},\n", - " function _(r,n,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=r(1),i=t.__importStar(r(161)),u=r(162),a=t.__importDefault(r(159)),f=r(24),o=r(8);function l(r,...n){return u.sprintf(r,...n)}function s(r,n,e){if(o.isNumber(r)){return l((()=>{switch(!1){case Math.floor(r)!=r:return\"%d\";case!(Math.abs(r)>.1&&Math.abs(r)<1e3):return\"%0.3f\";default:return\"%0.3e\"}})(),r)}return\"\"+r}function c(r,n,t){if(null==n)return s;if(null!=t&&r in t){const n=t[r];if(o.isString(n)){if(n in e.DEFAULT_FORMATTERS)return e.DEFAULT_FORMATTERS[n];throw new Error(`Unknown tooltip field formatter type '${n}'`)}return function(r,e,t){return n.format(r,e,t)}}return e.DEFAULT_FORMATTERS.numeral}function m(r,n,e,t){if(\"$\"==r[0]){return function(r,n){if(r in n)return n[r];throw new Error(`Unknown special variable '$${r}'`)}(r.substring(1),t)}return function(r,n,e){const t=n.get_column(r);if(null==t)return null;if(o.isNumber(e))return t[e];const i=t[e.index];if(o.isTypedArray(i)||o.isArray(i)){if(o.isArray(i[0])){return i[e.dim2][e.dim1]}return i[e.flat_index]}return i}(r.substring(1).replace(/[{}]/g,\"\"),n,e)}e.DEFAULT_FORMATTERS={numeral:(r,n,e)=>i.format(r,n),datetime:(r,n,e)=>a.default(r,n),printf:(r,n,e)=>l(n,r)},e.sprintf=l,e.basic_formatter=s,e.get_formatter=c,e.get_value=m,e.replace_placeholders=function(r,n,e,t,i={}){return r=(r=r.replace(/@\\$name/g,r=>`@{${i.name}}`)).replace(/((?:\\$\\w+)|(?:@\\w+)|(?:@{(?:[^{}]+)}))(?:{([^{}]+)})?/g,(r,u,a)=>{const o=m(u,n,e,i);if(null==o)return\"\"+f.escape(\"???\");if(\"safe\"==a)return\"\"+o;const l=c(u,a,t);return\"\"+f.escape(l(o,a,i))})}},\n", - " function _(e,n,t){\n", - " /*!\n", - " * numbro.js\n", - " * version : 1.6.2\n", - " * author : Företagsplatsen AB\n", - " * license : MIT\n", - " * http://www.foretagsplatsen.se\n", - " */\n", - " var r,i={},a=i,o=\"en-US\",l=null,u=\"0,0\";void 0!==n&&n.exports;function c(e){this._value=e}function s(e){var n,t=\"\";for(n=0;n-1?function(e,n){var t,r,i,a;return t=(a=e.toString()).split(\"e\")[0],i=a.split(\"e\")[1],a=t.split(\".\")[0]+(r=t.split(\".\")[1]||\"\")+s(i-r.length),n>0&&(a+=\".\"+s(n)),a}(e,n):(t(e*o)/o).toFixed(n),r&&(i=new RegExp(\"0{1,\"+r+\"}$\"),a=a.replace(i,\"\")),a}function d(e,n,t){return n.indexOf(\"$\")>-1?function(e,n,t){var r,a,l=n,u=l.indexOf(\"$\"),c=l.indexOf(\"(\"),s=l.indexOf(\"+\"),f=l.indexOf(\"-\"),d=\"\",p=\"\";-1===l.indexOf(\"$\")?\"infix\"===i[o].currency.position?(p=i[o].currency.symbol,i[o].currency.spaceSeparated&&(p=\" \"+p+\" \")):i[o].currency.spaceSeparated&&(d=\" \"):l.indexOf(\" $\")>-1?(d=\" \",l=l.replace(\" $\",\"\")):l.indexOf(\"$ \")>-1?(d=\" \",l=l.replace(\"$ \",\"\")):l=l.replace(\"$\",\"\");if(a=h(e,l,t,p),-1===n.indexOf(\"$\"))switch(i[o].currency.position){case\"postfix\":a.indexOf(\")\")>-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;break;case\"infix\":break;case\"prefix\":a.indexOf(\"(\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=Math.max(c,f)+1,a.splice(r,0,i[o].currency.symbol+d),a=a.join(\"\")):a=i[o].currency.symbol+d+a;break;default:throw Error('Currency position should be among [\"prefix\", \"infix\", \"postfix\"]')}else u<=1?a.indexOf(\"(\")>-1||a.indexOf(\"+\")>-1||a.indexOf(\"-\")>-1?(a=a.split(\"\"),r=1,(u-1?((a=a.split(\"\")).splice(-1,0,d+i[o].currency.symbol),a=a.join(\"\")):a=a+d+i[o].currency.symbol;return a}(e,n,t):n.indexOf(\"%\")>-1?function(e,n,t){var r,i=\"\";e*=100,n.indexOf(\" %\")>-1?(i=\" \",n=n.replace(\" %\",\"\")):n=n.replace(\"%\",\"\");(r=h(e,n,t)).indexOf(\")\")>-1?((r=r.split(\"\")).splice(-1,0,i+\"%\"),r=r.join(\"\")):r=r+i+\"%\";return r}(e,n,t):n.indexOf(\":\")>-1?function(e){var n=Math.floor(e/60/60),t=Math.floor((e-60*n*60)/60),r=Math.round(e-60*n*60-60*t);return n+\":\"+(t<10?\"0\"+t:t)+\":\"+(r<10?\"0\"+r:r)}(e):h(e,n,t)}function h(e,n,t,r){var a,u,c,s,d,h,p,m,x,g,O,b,w,y,M,v,$,B=!1,E=!1,F=!1,k=\"\",U=!1,N=!1,S=!1,j=!1,D=!1,C=\"\",L=\"\",T=Math.abs(e),K=[\"B\",\"KiB\",\"MiB\",\"GiB\",\"TiB\",\"PiB\",\"EiB\",\"ZiB\",\"YiB\"],G=[\"B\",\"KB\",\"MB\",\"GB\",\"TB\",\"PB\",\"EB\",\"ZB\",\"YB\"],I=\"\",P=!1,R=!1;if(0===e&&null!==l)return l;if(!isFinite(e))return\"\"+e;if(0===n.indexOf(\"{\")){var W=n.indexOf(\"}\");if(-1===W)throw Error('Format should also contain a \"}\"');b=n.slice(1,W),n=n.slice(W+1)}else b=\"\";if(n.indexOf(\"}\")===n.length-1){var Y=n.indexOf(\"{\");if(-1===Y)throw Error('Format should also contain a \"{\"');w=n.slice(Y+1,-1),n=n.slice(0,Y+1)}else w=\"\";if(v=null===($=-1===n.indexOf(\".\")?n.match(/([0-9]+).*/):n.match(/([0-9]+)\\..*/))?-1:$[1].length,-1!==n.indexOf(\"-\")&&(P=!0),n.indexOf(\"(\")>-1?(B=!0,n=n.slice(1,-1)):n.indexOf(\"+\")>-1&&(E=!0,n=n.replace(/\\+/g,\"\")),n.indexOf(\"a\")>-1){if(g=n.split(\".\")[0].match(/[0-9]+/g)||[\"0\"],g=parseInt(g[0],10),U=n.indexOf(\"aK\")>=0,N=n.indexOf(\"aM\")>=0,S=n.indexOf(\"aB\")>=0,j=n.indexOf(\"aT\")>=0,D=U||N||S||j,n.indexOf(\" a\")>-1?(k=\" \",n=n.replace(\" a\",\"\")):n=n.replace(\"a\",\"\"),p=0===(p=(d=Math.floor(Math.log(T)/Math.LN10)+1)%3)?3:p,g&&0!==T&&(h=Math.floor(Math.log(T)/Math.LN10)+1-g,m=3*~~((Math.min(g,d)-p)/3),T/=Math.pow(10,m),-1===n.indexOf(\".\")&&g>3))for(n+=\"[.]\",M=(M=0===h?0:3*~~(h/3)-h)<0?M+3:M,a=0;a=Math.pow(10,12)&&!D||j?(k+=i[o].abbreviations.trillion,e/=Math.pow(10,12)):T=Math.pow(10,9)&&!D||S?(k+=i[o].abbreviations.billion,e/=Math.pow(10,9)):T=Math.pow(10,6)&&!D||N?(k+=i[o].abbreviations.million,e/=Math.pow(10,6)):(T=Math.pow(10,3)&&!D||U)&&(k+=i[o].abbreviations.thousand,e/=Math.pow(10,3)))}if(n.indexOf(\"b\")>-1)for(n.indexOf(\" b\")>-1?(C=\" \",n=n.replace(\" b\",\"\")):n=n.replace(\"b\",\"\"),s=0;s<=K.length;s++)if(u=Math.pow(1024,s),c=Math.pow(1024,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"d\")>-1)for(n.indexOf(\" d\")>-1?(C=\" \",n=n.replace(\" d\",\"\")):n=n.replace(\"d\",\"\"),s=0;s<=G.length;s++)if(u=Math.pow(1e3,s),c=Math.pow(1e3,s+1),e>=u&&e0&&(e/=u);break}if(n.indexOf(\"o\")>-1&&(n.indexOf(\" o\")>-1?(L=\" \",n=n.replace(\" o\",\"\")):n=n.replace(\"o\",\"\"),i[o].ordinal&&(L+=i[o].ordinal(e))),n.indexOf(\"[.]\")>-1&&(F=!0,n=n.replace(\"[.]\",\".\")),x=e.toString().split(\".\")[0],O=n.split(\".\")[1],y=n.indexOf(\",\"),O){if(x=(I=-1!==O.indexOf(\"*\")?f(e,e.toString().split(\".\")[1].length,t):O.indexOf(\"[\")>-1?f(e,(O=(O=O.replace(\"]\",\"\")).split(\"[\"))[0].length+O[1].length,t,O[1].length):f(e,O.length,t)).split(\".\")[0],I.split(\".\")[1].length)I=(r?k+r:i[o].delimiters.decimal)+I.split(\".\")[1];else I=\"\";F&&0===Number(I.slice(1))&&(I=\"\")}else x=f(e,null,t);return x.indexOf(\"-\")>-1&&(x=x.slice(1),R=!0),x.length-1&&(x=x.toString().replace(/(\\d)(?=(\\d{3})+(?!\\d))/g,\"$1\"+i[o].delimiters.thousands)),0===n.indexOf(\".\")&&(x=\"\"),b+(n.indexOf(\"(\")2)&&(o.length<2?!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u):1===o[0].length?!!o[0].match(/^\\d+$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/):!!o[0].match(/^\\d+.*\\d$/)&&!o[0].match(u)&&!!o[1].match(/^\\d+$/)))))},n.exports={format:function(e,n,t,i){return null!=t&&t!==r.culture()&&r.setCulture(t),d(Number(e),null!=n?n:u,null==i?Math.round:i)}}},\n", - " function _(e,n,t){!function(){\"use strict\";var e={not_string:/[^s]/,not_bool:/[^t]/,not_type:/[^T]/,not_primitive:/[^v]/,number:/[diefg]/,numeric_arg:/[bcdiefguxX]/,json:/[j]/,not_json:/[^j]/,text:/^[^\\x25]+/,modulo:/^\\x25{2}/,placeholder:/^\\x25(?:([1-9]\\d*)\\$|\\(([^)]+)\\))?(\\+)?(0|'[^$])?(-)?(\\d+)?(?:\\.(\\d+))?([b-gijostTuvxX])/,key:/^([a-z_][a-z_\\d]*)/i,key_access:/^\\.([a-z_][a-z_\\d]*)/i,index_access:/^\\[(\\d+)\\]/,sign:/^[+-]/};function n(e){return i(a(e),arguments)}function r(e,t){return n.apply(null,[e].concat(t||[]))}function i(t,r){var i,s,a,o,p,c,l,u,f,d=1,g=t.length,y=\"\";for(s=0;s=0),o.type){case\"b\":i=parseInt(i,10).toString(2);break;case\"c\":i=String.fromCharCode(parseInt(i,10));break;case\"d\":case\"i\":i=parseInt(i,10);break;case\"j\":i=JSON.stringify(i,null,o.width?parseInt(o.width):0);break;case\"e\":i=o.precision?parseFloat(i).toExponential(o.precision):parseFloat(i).toExponential();break;case\"f\":i=o.precision?parseFloat(i).toFixed(o.precision):parseFloat(i);break;case\"g\":i=o.precision?String(Number(i.toPrecision(o.precision))):parseFloat(i);break;case\"o\":i=(parseInt(i,10)>>>0).toString(8);break;case\"s\":i=String(i),i=o.precision?i.substring(0,o.precision):i;break;case\"t\":i=String(!!i),i=o.precision?i.substring(0,o.precision):i;break;case\"T\":i=Object.prototype.toString.call(i).slice(8,-1).toLowerCase(),i=o.precision?i.substring(0,o.precision):i;break;case\"u\":i=parseInt(i,10)>>>0;break;case\"v\":i=i.valueOf(),i=o.precision?i.substring(0,o.precision):i;break;case\"x\":i=(parseInt(i,10)>>>0).toString(16);break;case\"X\":i=(parseInt(i,10)>>>0).toString(16).toUpperCase()}e.json.test(o.type)?y+=i:(!e.number.test(o.type)||u&&!o.sign?f=\"\":(f=u?\"+\":\"-\",i=i.toString().replace(e.sign,\"\")),c=o.pad_char?\"0\"===o.pad_char?\"0\":o.pad_char.charAt(1):\" \",l=o.width-(f+i).length,p=o.width&&l>0?c.repeat(l):\"\",y+=o.align?f+i+p:\"0\"===c?f+p+i:p+f+i)}return y}var s=Object.create(null);function a(n){if(s[n])return s[n];for(var t,r=n,i=[],a=0;r;){if(null!==(t=e.text.exec(r)))i.push(t[0]);else if(null!==(t=e.modulo.exec(r)))i.push(\"%\");else{if(null===(t=e.placeholder.exec(r)))throw new SyntaxError(\"[sprintf] unexpected placeholder\");if(t[2]){a|=1;var o=[],p=t[2],c=[];if(null===(c=e.key.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");for(o.push(c[1]);\"\"!==(p=p.substring(c[0].length));)if(null!==(c=e.key_access.exec(p)))o.push(c[1]);else{if(null===(c=e.index_access.exec(p)))throw new SyntaxError(\"[sprintf] failed to parse named argument key\");o.push(c[1])}t[2]=o}else a|=2;if(3===a)throw new Error(\"[sprintf] mixing positional and named placeholders is not (yet) supported\");i.push({placeholder:t[0],param_no:t[1],keys:t[2],sign:t[3],pad_char:t[4],align:t[5],width:t[6],precision:t[7],type:t[8]})}r=r.substring(t[0].length)}return s[n]=i}void 0!==t&&(t.sprintf=n,t.vsprintf=r),\"undefined\"!=typeof window&&(window.sprintf=n,window.vsprintf=r,\"function\"==typeof define&&define.amd&&define((function(){return{sprintf:n,vsprintf:r}})))}()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(9),a=e(110),s=e(164),r=e(165),c=e(168),_=e(169),m=e(167);class k extends s.CompositeTicker{constructor(e){super(e)}static init_DatetimeTicker(){this.override({num_minor_ticks:0,tickers:()=>[new a.AdaptiveTicker({mantissas:[1,2,5],base:10,min_interval:0,max_interval:500*m.ONE_MILLI,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,5,10,15,20,30],base:60,min_interval:m.ONE_SECOND,max_interval:30*m.ONE_MINUTE,num_minor_ticks:0}),new a.AdaptiveTicker({mantissas:[1,2,4,6,8,12],base:24,min_interval:m.ONE_HOUR,max_interval:12*m.ONE_HOUR,num_minor_ticks:0}),new r.DaysTicker({days:t.range(1,32)}),new r.DaysTicker({days:t.range(1,31,3)}),new r.DaysTicker({days:[1,8,15,22]}),new r.DaysTicker({days:[1,15]}),new c.MonthsTicker({months:t.range(0,12,1)}),new c.MonthsTicker({months:t.range(0,12,2)}),new c.MonthsTicker({months:t.range(0,12,4)}),new c.MonthsTicker({months:t.range(0,12,6)}),new _.YearsTicker({})]})}}n.DatetimeTicker=k,k.__name__=\"DatetimeTicker\",k.init_DatetimeTicker()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=t(1),s=t(111),n=r.__importStar(t(18)),_=t(9);class a extends s.ContinuousTicker{constructor(t){super(t)}static init_CompositeTicker(){this.define({tickers:[n.Array,[]]})}get min_intervals(){return this.tickers.map(t=>t.get_min_interval())}get max_intervals(){return this.tickers.map(t=>t.get_max_interval())}get min_interval(){return this.min_intervals[0]}get max_interval(){return this.max_intervals[0]}get_best_ticker(t,e,i){const r=e-t,s=this.get_ideal_interval(t,e,i),n=[_.sorted_index(this.min_intervals,s)-1,_.sorted_index(this.max_intervals,s)],a=[this.min_intervals[n[0]],this.max_intervals[n[1]]].map(t=>Math.abs(i-r/t));let c;if(_.is_empty(a.filter(t=>!isNaN(t))))c=this.tickers[0];else{const t=n[_.argmin(a)];c=this.tickers[t]}return c}get_interval(t,e,i){return this.get_best_ticker(t,e,i).get_interval(t,e,i)}get_ticks_no_defaults(t,e,i,r){return this.get_best_ticker(t,e,r).get_ticks_no_defaults(t,e,i,r)}}i.CompositeTicker=a,a.__name__=\"CompositeTicker\",a.init_CompositeTicker()},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=t(166),a=t(167),o=i.__importStar(t(18)),r=t(9);class _ extends s.SingleIntervalTicker{constructor(t){super(t)}static init_DaysTicker(){this.define({days:[o.Array,[]]}),this.override({num_minor_ticks:0})}initialize(){super.initialize();const t=this.days;t.length>1?this.interval=(t[1]-t[0])*a.ONE_DAY:this.interval=31*a.ONE_DAY}get_ticks_no_defaults(t,e,n,i){const s=function(t,e){const n=a.last_month_no_later_than(new Date(t)),i=a.last_month_no_later_than(new Date(e));i.setUTCMonth(i.getUTCMonth()+1);const s=[],o=n;for(;s.push(a.copy_date(o)),o.setUTCMonth(o.getUTCMonth()+1),!(o>i););return s}(t,e),o=this.days,_=this.interval;return{major:r.concat(s.map(t=>((t,e)=>{const n=t.getUTCMonth(),i=[];for(const s of o){const o=a.copy_date(t);o.setUTCDate(s),new Date(o.getTime()+e/2).getUTCMonth()==n&&i.push(o)}return i})(t,_))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.DaysTicker=_,_.__name__=\"DaysTicker\",_.init_DaysTicker()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),r=e(111),l=n.__importStar(e(18));class a extends r.ContinuousTicker{constructor(e){super(e)}static init_SingleIntervalTicker(){this.define({interval:[l.Number]})}get_interval(e,t,i){return this.interval}get min_interval(){return this.interval}get max_interval(){return this.interval}}i.SingleIntervalTicker=a,a.__name__=\"SingleIntervalTicker\",a.init_SingleIntervalTicker()},\n", - " function _(t,e,n){function _(t){return new Date(t.getTime())}function O(t){const e=_(t);return e.setUTCDate(1),e.setUTCHours(0),e.setUTCMinutes(0),e.setUTCSeconds(0),e.setUTCMilliseconds(0),e}Object.defineProperty(n,\"__esModule\",{value:!0}),n.ONE_MILLI=1,n.ONE_SECOND=1e3,n.ONE_MINUTE=60*n.ONE_SECOND,n.ONE_HOUR=60*n.ONE_MINUTE,n.ONE_DAY=24*n.ONE_HOUR,n.ONE_MONTH=30*n.ONE_DAY,n.ONE_YEAR=365*n.ONE_DAY,n.copy_date=_,n.last_month_no_later_than=O,n.last_year_no_later_than=function(t){const e=O(t);return e.setUTCMonth(0),e}},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),i=t(166),s=t(167),a=r.__importStar(t(18)),o=t(9);class _ extends i.SingleIntervalTicker{constructor(t){super(t)}static init_MonthsTicker(){this.define({months:[a.Array,[]]})}initialize(){super.initialize();const t=this.months;t.length>1?this.interval=(t[1]-t[0])*s.ONE_MONTH:this.interval=12*s.ONE_MONTH}get_ticks_no_defaults(t,e,n,r){const i=function(t,e){const n=s.last_year_no_later_than(new Date(t)),r=s.last_year_no_later_than(new Date(e));r.setUTCFullYear(r.getUTCFullYear()+1);const i=[],a=n;for(;i.push(s.copy_date(a)),a.setUTCFullYear(a.getUTCFullYear()+1),!(a>r););return i}(t,e),a=this.months;return{major:o.concat(i.map(t=>a.map(e=>{const n=s.copy_date(t);return n.setUTCMonth(e),n}))).map(t=>t.getTime()).filter(n=>t<=n&&n<=e),minor:[]}}}n.MonthsTicker=_,_.__name__=\"MonthsTicker\",_.init_MonthsTicker()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(109),r=e(166),n=e(167);class _ extends r.SingleIntervalTicker{constructor(e){super(e)}initialize(){super.initialize(),this.interval=n.ONE_YEAR,this.basic_ticker=new i.BasicTicker({num_minor_ticks:0})}get_ticks_no_defaults(e,t,a,i){const r=n.last_year_no_later_than(new Date(e)).getUTCFullYear(),_=n.last_year_no_later_than(new Date(t)).getUTCFullYear();return{major:this.basic_ticker.get_ticks_no_defaults(r,_,a,i).major.map(e=>Date.UTC(e,0,1)).filter(a=>e<=a&&a<=t),minor:[]}}}a.YearsTicker=_,_.__name__=\"YearsTicker\"},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(150),o=e(155),n=e(171),r=e(172);class _ extends s.AxisView{}t.LogAxisView=_,_.__name__=\"LogAxisView\";class c extends o.ContinuousAxis{constructor(e){super(e)}static init_LogAxis(){this.prototype.default_view=_,this.override({ticker:()=>new r.LogTicker,formatter:()=>new n.LogTickFormatter})}}t.LogAxis=c,c.__name__=\"LogAxis\",c.init_LogAxis()},\n", - " function _(t,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=t(1),o=t(114),a=t(113),n=i.__importStar(t(18));class c extends o.TickFormatter{constructor(t){super(t)}static init_LogTickFormatter(){this.define({ticker:[n.Instance,null]})}initialize(){super.initialize(),this.basic_formatter=new a.BasicTickFormatter}doFormat(t,e){if(0==t.length)return[];const r=null!=this.ticker?this.ticker.base:10;let i=!1;const o=new Array(t.length);for(let e=0,a=t.length;e0&&o[e]==o[e-1]){i=!0;break}return i?this.basic_formatter.doFormat(t,e):o}}r.LogTickFormatter=c,c.__name__=\"LogTickFormatter\",c.init_LogTickFormatter()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(110),s=t(9);class n extends i.AdaptiveTicker{constructor(t){super(t)}static init_LogTicker(){this.override({mantissas:[1,5]})}get_ticks_no_defaults(t,o,e,i){const n=this.num_minor_ticks,r=[],c=this.base,a=Math.log(t)/Math.log(c),f=Math.log(o)/Math.log(c),l=f-a;let h;if(isFinite(l))if(l<2){const e=this.get_interval(t,o,i),c=Math.floor(t/e),a=Math.ceil(o/e);if(h=s.range(c,a+1).filter(t=>0!=t).map(t=>t*e).filter(e=>t<=e&&e<=o),n>0&&h.length>0){const t=e/n,o=s.range(0,n).map(o=>o*t);for(const t of o.slice(1))r.push(h[0]-t);for(const t of h)for(const e of o)r.push(t+e)}}else{const t=Math.ceil(.999999*a),o=Math.floor(1.000001*f),e=Math.ceil((o-t)/9);if(h=s.range(t-1,o+1,e).map(t=>c**t),n>0&&h.length>0){const t=c**e/n,o=s.range(1,n+1).map(o=>o*t);for(const t of o)r.push(h[0]/t);r.push(h[0]);for(const t of h)for(const e of o)r.push(t*e)}}else h=[];return{major:h.filter(e=>t<=e&&e<=o),minor:r.filter(e=>t<=e&&e<=o)}}}e.LogTicker=n,n.__name__=\"LogTicker\",n.init_LogTicker()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(150),s=e(157),o=e(174),a=e(175);class c extends i.AxisView{}r.MercatorAxisView=c,c.__name__=\"MercatorAxisView\";class n extends s.LinearAxis{constructor(e){super(e)}static init_MercatorAxis(){this.prototype.default_view=c,this.override({ticker:()=>new a.MercatorTicker({dimension:\"lat\"}),formatter:()=>new o.MercatorTickFormatter({dimension:\"lat\"})})}}r.MercatorAxis=n,n.__name__=\"MercatorAxis\",n.init_MercatorAxis()},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),n=r(113),i=o.__importStar(r(18)),c=r(32);class s extends n.BasicTickFormatter{constructor(r){super(r)}static init_MercatorTickFormatter(){this.define({dimension:[i.LatLon]})}doFormat(r,t){if(null==this.dimension)throw new Error(\"MercatorTickFormatter.dimension not configured\");if(0==r.length)return[];const e=r.length,o=new Array(e);if(\"lon\"==this.dimension)for(let n=0;n{const n=i.replace_placeholders(this.url,t,e);this.same_tab?window.location.href=n:window.open(n)},{selected:o}=t;for(const e of o.indices)n(e);for(const e of o.line_indices)n(e)}}n.OpenURL=r,r.__name__=\"OpenURL\",r.init_OpenURL()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var n=a(181);r.Canvas=n.Canvas;var s=a(184);r.CartesianFrame=s.CartesianFrame},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(13),n=e(66),l=e(72),o=s.__importStar(e(18)),r=e(68),h=e(17),c=e(88),d=e(182),_=e(183),v=(()=>{const e=document.createElement(\"canvas\"),t=e.getContext(\"webgl\",{premultipliedAlpha:!0});return null!=t?{canvas:e,gl:t}:void l.logger.trace(\"WebGL is not supported\")})(),p={position:\"absolute\",top:\"0\",left:\"0\",width:\"100%\",height:\"100%\"};class g{constructor(e,t){switch(this.backend=e,this.hidpi=t,this.pixel_ratio=1,this.bbox=new c.BBox,e){case\"webgl\":case\"canvas\":{this._el=this._canvas=r.canvas({style:p});const e=this.canvas.getContext(\"2d\");if(null==e)throw new Error(\"unable to obtain 2D rendering context\");this._ctx=e,t&&(this.pixel_ratio=devicePixelRatio);break}case\"svg\":{const e=new _.SVGRenderingContext2D;this._ctx=e,this._canvas=e.getSvg(),this._el=r.div({style:p},this._canvas);break}}d.fixup_ctx(this._ctx)}get canvas(){return this._canvas}get ctx(){return this._ctx}get el(){return this._el}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t});const i=this._ctx instanceof _.SVGRenderingContext2D?this._ctx:this.canvas;i.width=e*this.pixel_ratio,i.height=t*this.pixel_ratio}prepare(){const{ctx:e,hidpi:t,pixel_ratio:i}=this;e.save(),t&&(e.scale(i,i),e.translate(.5,.5)),this.clear()}clear(){const{x:e,y:t,width:i,height:s}=this.bbox;this.ctx.clearRect(e,t,i,s)}finish(){this.ctx.restore()}save(e){const{_canvas:t}=this;if(t instanceof HTMLCanvasElement)if(null!=t.msToBlob){const i=t.msToBlob();window.navigator.msSaveBlob(i,e)}else{const i=document.createElement(\"a\");i.href=t.toDataURL(\"image/png\"),i.download=e+\".png\",i.target=\"_blank\",i.dispatchEvent(new MouseEvent(\"click\"))}else{const t=this._ctx.getSerializedSvg(!0),i=new Blob([t],{type:\"text/plain\"}),s=document.createElement(\"a\");s.download=e+\".svg\",s.innerHTML=\"Download svg\",s.href=window.URL.createObjectURL(i),s.onclick=e=>document.body.removeChild(e.target),s.style.display=\"none\",document.body.appendChild(s),s.click()}}}i.CanvasLayer=g,g.__name__=\"CanvasLayer\";class b extends n.DOMView{initialize(){super.initialize();const{output_backend:e,hidpi:t}=this.model;\"webgl\"==e&&(this.webgl=v),this.underlays_el=r.div({style:p}),this.primary=new g(e,t),this.overlays=new g(e,t),this.overlays_el=r.div({style:p}),this.events_el=r.div({class:\"bk-canvas-events\",style:p});const i=[this.underlays_el,this.primary.el,this.overlays.el,this.overlays_el,this.events_el];h.extend(this.el.style,p),r.append(this.el,...i),l.logger.debug(\"CanvasView initialized\")}add_underlay(e){this.underlays_el.appendChild(e)}add_overlay(e){this.overlays_el.appendChild(e)}add_event(e){this.events_el.appendChild(e)}get pixel_ratio(){return this.primary.pixel_ratio}resize(e,t){this.bbox=new c.BBox({left:0,top:0,width:e,height:t}),this.primary.resize(e,t),this.overlays.resize(e,t)}prepare_webgl(e){const{webgl:t}=this;if(null!=t){const{width:i,height:s}=this.bbox;t.canvas.width=this.pixel_ratio*i,t.canvas.height=this.pixel_ratio*s;const{gl:a}=t;a.enable(a.SCISSOR_TEST);const[n,l,o,r]=e,{xview:h,yview:c}=this.bbox,d=h.compute(n),_=c.compute(l+r),v=this.pixel_ratio;a.scissor(v*d,v*_,v*o,v*r),a.enable(a.BLEND),a.blendFuncSeparate(a.SRC_ALPHA,a.ONE_MINUS_SRC_ALPHA,a.ONE_MINUS_DST_ALPHA,a.ONE)}}clear_webgl(){const{webgl:e}=this;if(null!=e){const{gl:t,canvas:i}=e;t.viewport(0,0,i.width,i.height),t.clearColor(0,0,0,0),t.clear(t.COLOR_BUFFER_BIT||t.DEPTH_BUFFER_BIT)}}blit_webgl(e){const{webgl:t}=this;if(null!=t&&(l.logger.debug(\"drawing with WebGL\"),e.restore(),e.drawImage(t.canvas,0,0),e.save(),this.model.hidpi)){const t=this.pixel_ratio;e.scale(t,t),e.translate(.5,.5)}}save(e){const{output_backend:t}=this.model,{width:i,height:s}=this.bbox,a=new g(t,!1);a.resize(i,s),a.ctx.drawImage(this.primary.canvas,0,0),a.ctx.drawImage(this.overlays.canvas,0,0),a.save(e)}}i.CanvasView=b,b.__name__=\"CanvasView\";class w extends a.HasProps{constructor(e){super(e)}static init_Canvas(){this.prototype.default_view=b,this.internal({hidpi:[o.Boolean,!0],output_backend:[o.OutputBackend,\"canvas\"]})}}i.Canvas=w,w.__name__=\"Canvas\",w.init_Canvas()},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.fixup_ctx=function(e){!function(e){e.setLineDash||(e.setLineDash=t=>{e.mozDash=t,e.webkitLineDash=t}),e.getLineDash||(e.getLineDash=()=>e.mozDash)}(e),function(e){e.setLineDashOffset=t=>{e.lineDashOffset=t,e.mozDashOffset=t,e.webkitLineDashOffset=t},e.getLineDashOffset=()=>e.mozDashOffset}(e),function(e){e.setImageSmoothingEnabled=t=>{e.imageSmoothingEnabled=t,e.mozImageSmoothingEnabled=t,e.oImageSmoothingEnabled=t,e.webkitImageSmoothingEnabled=t,e.msImageSmoothingEnabled=t},e.getImageSmoothingEnabled=()=>{const t=e.imageSmoothingEnabled;return null==t||t}}(e),function(e){e.measureText&&null==e.html5MeasureText&&(e.html5MeasureText=e.measureText,e.measureText=t=>{const n=e.html5MeasureText(t);return n.ascent=1.6*e.html5MeasureText(\"m\").width,n})}(e),function(e){e.ellipse||(e.ellipse=function(t,n,a,o,s,i,m,h=!1){const l=.551784;e.translate(t,n),e.rotate(s);let u=a,r=o;h&&(u=-a,r=-o),e.moveTo(-u,0),e.bezierCurveTo(-u,r*l,-u*l,r,0,r),e.bezierCurveTo(u*l,r,u,r*l,u,0),e.bezierCurveTo(u,-r*l,u*l,-r,0,-r),e.bezierCurveTo(-u*l,-r,-u,-r*l,-u,0),e.rotate(-s),e.translate(-t,-n)})}(e)}},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(8);function r(t){return[...t.childNodes]}function n(t){if(!t)throw new Error(\"cannot create a random attribute name for an undefined object\");const e=\"ABCDEFGHIJKLMNOPQRSTUVWXTZabcdefghiklmnopqrstuvwxyz\";let s=\"\";do{s=\"\";for(let t=0;t<12;t++)s+=e[Math.floor(Math.random()*e.length)]}while(t[s]);return s}function a(t){const e={left:\"start\",right:\"end\",center:\"middle\",start:\"start\",end:\"end\"};return e[t]||e.start}function o(t){const e={alphabetic:\"alphabetic\",hanging:\"hanging\",top:\"text-before-edge\",bottom:\"text-after-edge\",middle:\"central\"};return e[t]||e.alphabetic}const l=function(t,e){const s=new Map,i=t.split(\",\");e=e||10;for(let t=0;t0){\"path\"===this.__currentElement.nodeName&&(this.__currentElementsToStyle||(this.__currentElementsToStyle={element:e,children:[]}),this.__currentElementsToStyle.children.push(this.__currentElement),this.__applyCurrentDefaultPath());const t=this.__createElement(\"g\");e.appendChild(t),this.__currentElement=t}let s=this.__currentElement.getAttribute(\"transform\");if(s){if(s.includes(t))return;s+=\" \"}else s=\"\";s+=t,this.__currentElement.setAttribute(\"transform\",s)}scale(t,e){this.__addTransform(`scale(${t},${null!=e?e:t})`)}rotate(t){const e=180*t/Math.PI,[s,i]=[0,0];this.__addTransform(`rotate(${e},${s},${i})`)}translate(t,e){this.__addTransform(`translate(${t},${e})`)}transform(t,e,s,i,r,n){this.__addTransform(`matrix(${t},${e},${s},${i},${r},${n})`)}beginPath(){this.__currentDefaultPath=\"\",this.__currentPosition=null;const t=this.__createElement(\"path\",{},!0);this.__closestGroupOrSvg().appendChild(t),this.__currentElement=t}__applyCurrentDefaultPath(){const t=this.__currentElement;\"path\"===t.nodeName?t.setAttribute(\"d\",this.__currentDefaultPath):console.error(\"Attempted to apply path command to node\",t.nodeName)}__addPathCommand(t){this.__currentDefaultPath+=\" \",this.__currentDefaultPath+=t}moveTo(t,e){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.__currentPosition={x:t,y:e},this.__addPathCommand(`M ${t} ${e}`)}closePath(){this.__currentDefaultPath&&this.__addPathCommand(\"Z\")}lineTo(t,e){this.__currentPosition={x:t,y:e},this.__currentDefaultPath.indexOf(\"M\")>-1?this.__addPathCommand(`L ${t} ${e}`):this.__addPathCommand(`M ${t} ${e}`)}bezierCurveTo(t,e,s,i,r,n){this.__currentPosition={x:r,y:n},this.__addPathCommand(`C ${t} ${e} ${s} ${i} ${r} ${n}`)}quadraticCurveTo(t,e,s,i){this.__currentPosition={x:s,y:i},this.__addPathCommand(`Q ${t} ${e} ${s} ${i}`)}arcTo(t,e,s,i,r){if(null==this.__currentPosition)return;const n=this.__currentPosition.x,a=this.__currentPosition.y;if(r<0)throw new Error(\"IndexSizeError: The radius provided (\"+r+\") is negative.\");if(n===t&&a===e||t===s&&e===i||0===r)return void this.lineTo(t,e);function o([t,e]){const s=Math.sqrt(t**2+e**2);return[t/s,e/s]}const l=o([n-t,a-e]),h=o([s-t,i-e]);if(l[0]*h[1]==l[1]*h[0])return void this.lineTo(t,e);const c=l[0]*h[0]+l[1]*h[1],_=Math.acos(Math.abs(c)),u=o([l[0]+h[0],l[1]+h[1]]),d=r/Math.sin(_/2),p=t+d*u[0],m=e+d*u[1],g=[-l[1],l[0]],f=[h[1],-h[0]];function v(t){const e=t[0];return t[1]>=0?Math.acos(e):-Math.acos(e)}const w=v(g),b=v(f);this.lineTo(p+g[0]*r,m+g[1]*r),this.arc(p,m,r,w,b)}stroke(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"fill stroke markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"stroke\")}fill(){\"path\"===this.__currentElement.nodeName&&this.__currentElement.setAttribute(\"paint-order\",\"stroke fill markers\"),this.__applyCurrentDefaultPath(),this.__applyStyleToCurrentElement(\"fill\")}rect(t,e,s,i){\"path\"!==this.__currentElement.nodeName&&this.beginPath(),this.moveTo(t,e),this.lineTo(t+s,e),this.lineTo(t+s,e+i),this.lineTo(t,e+i),this.lineTo(t,e),this.closePath()}fillRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"fill\")}strokeRect(t,e,s,i){const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i},!0);this.__closestGroupOrSvg().appendChild(r),this.__currentElement=r,this.__applyStyleToCurrentElement(\"stroke\")}__clearCanvas(){const t=this.__closestGroupOrSvg().getAttribute(\"transform\"),e=r(this.__root)[1],s=e.childNodes;for(let t=s.length-1;t>=0;t--)s[t]&&e.removeChild(s[t]);this.__currentElement=e,this.__groupStack=[],t&&this.__addTransform(t)}clearRect(t,e,s,i){if(0===t&&0===e&&s===this.width&&i===this.height)return void this.__clearCanvas();const r=this.__createElement(\"rect\",{x:t,y:e,width:s,height:i,fill:\"#FFFFFF\"},!0);this.__closestGroupOrSvg().appendChild(r)}createLinearGradient(t,e,s,i){const r=this.__createElement(\"linearGradient\",{id:n(this.__ids),x1:t+\"px\",x2:s+\"px\",y1:e+\"px\",y2:i+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(r),new c(r,this)}createRadialGradient(t,e,s,i,r,a){const o=this.__createElement(\"radialGradient\",{id:n(this.__ids),cx:i+\"px\",cy:r+\"px\",r:a+\"px\",fx:t+\"px\",fy:e+\"px\",gradientUnits:\"userSpaceOnUse\"},!1);return this.__defs.appendChild(o),new c(o,this)}__parseFont(){const t=/^\\s*(?=(?:(?:[-a-z]+\\s*){0,2}(italic|oblique))?)(?=(?:(?:[-a-z]+\\s*){0,2}(small-caps))?)(?=(?:(?:[-a-z]+\\s*){0,2}(bold(?:er)?|lighter|[1-9]00))?)(?:(?:normal|\\1|\\2|\\3)\\s*){0,3}((?:xx?-)?(?:small|large)|medium|smaller|larger|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx]))(?:\\s*\\/\\s*(normal|[.\\d]+(?:\\%|in|[cem]m|ex|p[ctx])))?\\s*([-,\\'\\\"\\sa-z0-9]+?)\\s*$/i.exec(this.font),e={style:t[1]||\"normal\",size:t[4]||\"10px\",family:t[6]||\"sans-serif\",weight:t[3]||\"normal\",decoration:t[2]||\"normal\"};return\"underline\"===this.__fontUnderline&&(e.decoration=\"underline\"),null!=this.__fontHref&&(e.href=this.__fontHref),e}__wrapTextLink(t,e){if(t.href){const s=this.__createElement(\"a\");return s.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.href),s.appendChild(e),s}return e}__applyText(t,e,s,i){const r=this.__parseFont(),n=this.__closestGroupOrSvg(),l=this.__createElement(\"text\",{\"font-family\":r.family,\"font-size\":r.size,\"font-style\":r.style,\"font-weight\":r.weight,\"text-decoration\":r.decoration,x:e,y:s,\"text-anchor\":a(this.textAlign),\"dominant-baseline\":o(this.textBaseline)},!0);l.appendChild(this.__document.createTextNode(t)),this.__currentElement=l,this.__applyStyleToCurrentElement(i),n.appendChild(this.__wrapTextLink(r,l))}fillText(t,e,s){this.__applyText(t,e,s,\"fill\")}strokeText(t,e,s){this.__applyText(t,e,s,\"stroke\")}measureText(t){return this.__ctx.font=this.font,this.__ctx.measureText(t)}arc(t,e,s,i,r,n=!1){if(i===r)return;(i%=2*Math.PI)===(r%=2*Math.PI)&&(r=(r+2*Math.PI-.001*(n?-1:1))%(2*Math.PI));const a=t+s*Math.cos(r),o=e+s*Math.sin(r),l=t+s*Math.cos(i),h=e+s*Math.sin(i),c=n?0:1;let _=0,u=r-i;u<0&&(u+=2*Math.PI),_=n?u>Math.PI?0:1:u>Math.PI?1:0,this.moveTo(l,h);const d=s,p=s;this.__addPathCommand(`A ${d} ${p} 0 ${_} ${c} ${a} ${o}`),this.__currentPosition={x:a,y:o}}clip(){const t=this.__closestGroupOrSvg(),e=this.__createElement(\"clipPath\"),s=n(this.__ids),i=this.__createElement(\"g\");this.__applyCurrentDefaultPath(),t.removeChild(this.__currentElement),e.setAttribute(\"id\",s),e.appendChild(this.__currentElement),this.__defs.appendChild(e),t.setAttribute(\"clip-path\",`url(#${s})`),t.appendChild(i),this.__currentElement=i}drawImage(t,...e){let s,i,n,a,o,l,h,c;if(2==e.length)[s,i]=e,o=0,l=0,h=t.width,c=t.height,n=h,a=c;else if(4==e.length)[s,i,n,a]=e,o=0,l=0,h=t.width,c=t.height;else{if(8!==e.length)throw new Error(\"Inavlid number of arguments passed to drawImage: \"+arguments.length);[o,l,h,c,s,i,n,a]=e}const _=this.__closestGroupOrSvg(),d=\"translate(\"+s+\", \"+i+\")\";if(t instanceof u){const e=t.getSvg().cloneNode(!0);if(e.childNodes&&e.childNodes.length>1){const t=r(e)[0];for(;t.childNodes.length;){const e=r(t)[0].getAttribute(\"id\");this.__ids[e]=e,this.__defs.appendChild(r(t)[0])}const s=r(e)[1];if(s){const t=s.getAttribute(\"transform\");let e;e=t?t+\" \"+d:d,s.setAttribute(\"transform\",e),_.appendChild(s)}}}else if(t instanceof HTMLImageElement||t instanceof SVGImageElement){const e=this.__createElement(\"image\");if(e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\"),o||l||h!==t.width||c!==t.height){const e=this.__document.createElement(\"canvas\");e.width=n,e.height=a,e.getContext(\"2d\").drawImage(t,o,l,h,c,0,0,n,a),t=e}e.setAttribute(\"transform\",d);const s=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",s),_.appendChild(e)}else if(t instanceof HTMLCanvasElement){const e=this.__createElement(\"image\");e.setAttribute(\"width\",\"\"+n),e.setAttribute(\"height\",\"\"+a),e.setAttribute(\"preserveAspectRatio\",\"none\");const s=this.__document.createElement(\"canvas\");s.width=n,s.height=a;const i=s.getContext(\"2d\");i.imageSmoothingEnabled=!1,i.drawImage(t,o,l,h,c,0,0,n,a),t=s,e.setAttribute(\"transform\",d),e.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",t.toDataURL()),_.appendChild(e)}}createPattern(t,e){const s=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"pattern\"),i=n(this.__ids);let r;if(s.setAttribute(\"id\",i),s.setAttribute(\"width\",\"\"+t.width),s.setAttribute(\"height\",\"\"+t.height),t instanceof HTMLCanvasElement||t instanceof HTMLImageElement||t instanceof SVGImageElement){r=this.__document.createElementNS(\"http://www.w3.org/2000/svg\",\"image\"),r.setAttribute(\"width\",\"\"+t.width),r.setAttribute(\"height\",\"\"+t.height);const e=t instanceof HTMLCanvasElement?t.toDataURL():t.getAttribute(\"src\");r.setAttributeNS(\"http://www.w3.org/1999/xlink\",\"xlink:href\",e),s.appendChild(r),this.__defs.appendChild(s)}else t instanceof u&&(s.appendChild(t.__root.childNodes[1]),this.__defs.appendChild(s));return new _(s,this)}setLineDash(t){t&&t.length>0?this.lineDash=t.join(\",\"):this.lineDash=null}}s.SVGRenderingContext2D=u,u.__name__=\"SVGRenderingContext2D\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const a=e(185),_=e(121),n=e(130),r=e(131),i=e(186),g=e(90),c=e(188);class h extends c.LayoutItem{constructor(e,t,s,a,_={},n={}){super(),this.x_scale=e,this.y_scale=t,this.x_range=s,this.y_range=a,this.extra_x_ranges=_,this.extra_y_ranges=n,this._configure_scales()}map_to_screen(e,t,s=\"default\",a=\"default\"){return[this.xscales[s].v_compute(e),this.yscales[a].v_compute(t)]}_get_ranges(e,t){return Object.assign(Object.assign({},t),{default:e})}_get_scales(e,t,s){const c={};for(const h in t){const o=t[h];if((o instanceof i.DataRange1d||o instanceof r.Range1d)&&!(e instanceof _.ContinuousScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);if(o instanceof g.FactorRange&&!(e instanceof a.CategoricalScale))throw new Error(`Range ${o.type} is incompatible is Scale ${e.type}`);e instanceof n.LogScale&&o instanceof i.DataRange1d&&(o.scale_hint=\"log\");const l=e.clone();l.setv({source_range:o,target_range:s}),c[h]=l}return c}_configure_frame_ranges(){this._h_target=new r.Range1d({start:this._left.value,end:this._right.value}),this._v_target=new r.Range1d({start:this._bottom.value,end:this._top.value})}_configure_scales(){this._configure_frame_ranges(),this._x_ranges=this._get_ranges(this.x_range,this.extra_x_ranges),this._y_ranges=this._get_ranges(this.y_range,this.extra_y_ranges),this._xscales=this._get_scales(this.x_scale,this._x_ranges,this._h_target),this._yscales=this._get_scales(this.y_scale,this._y_ranges,this._v_target)}_update_scales(){this._configure_frame_ranges();for(const e in this._xscales){this._xscales[e].target_range=this._h_target}for(const e in this._yscales){this._yscales[e].target_range=this._v_target}}_set_geometry(e,t){super._set_geometry(e,t),this._update_scales()}get x_ranges(){return this._x_ranges}get y_ranges(){return this._y_ranges}get xscales(){return this._xscales}get yscales(){return this._yscales}}s.CartesianFrame=h,h.__name__=\"CartesianFrame\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(122);class _ extends n.Scale{constructor(e){super(e)}compute(e){return super._linear_compute(this.source_range.synthetic(e))}v_compute(e){return super._linear_v_compute(this.source_range.v_synthetic(e))}invert(e){return this._linear_invert(e)}v_invert(e){return this._linear_v_invert(e)}}t.CategoricalScale=_,_.__name__=\"CategoricalScale\"},\n", - " function _(t,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=t(1),a=t(187),s=t(81),l=t(72),_=e.__importStar(t(18)),o=e.__importStar(t(88)),r=t(9);class h extends a.DataRange{constructor(t){super(t),this.have_updated_interactively=!1}static init_DataRange1d(){this.define({start:[_.Number],end:[_.Number],range_padding:[_.Number,.1],range_padding_units:[_.PaddingUnits,\"percent\"],flipped:[_.Boolean,!1],follow:[_.StartEnd],follow_interval:[_.Number],default_span:[_.Number,2],only_visible:[_.Boolean,!1]}),this.internal({scale_hint:[_.String,\"auto\"]})}initialize(){super.initialize(),this._initial_start=this.start,this._initial_end=this.end,this._initial_range_padding=this.range_padding,this._initial_range_padding_units=this.range_padding_units,this._initial_follow=this.follow,this._initial_follow_interval=this.follow_interval,this._initial_default_span=this.default_span,this._plot_bounds=new Map}get min(){return Math.min(this.start,this.end)}get max(){return Math.max(this.start,this.end)}computed_renderers(){const t=this.names;let i=this.renderers;if(0==i.length)for(const t of this.plots){const n=t.renderers.filter(t=>t instanceof s.GlyphRenderer);i=i.concat(n)}t.length>0&&(i=i.filter(i=>r.includes(t,i.name))),l.logger.debug(`computed ${i.length} renderers for ${this}`);for(const t of i)l.logger.trace(\" - \"+t);return i}_compute_plot_bounds(t,i){let n=o.empty();for(const e of t){const t=i.get(e);null==t||!e.visible&&this.only_visible||(n=o.union(n,t))}return n}adjust_bounds_for_aspect(t,i){const n=o.empty();let e=t.x1-t.x0;e<=0&&(e=1);let a=t.y1-t.y0;a<=0&&(a=1);const s=.5*(t.x1+t.x0),l=.5*(t.y1+t.y0);return e_&&(\"start\"==this.follow?a=e+s*_:\"end\"==this.follow&&(e=a-s*_)),[e,a]}update(t,i,n,e){if(this.have_updated_interactively)return;const a=this.computed_renderers();let s=this._compute_plot_bounds(a,t);null!=e&&(s=this.adjust_bounds_for_aspect(s,e)),this._plot_bounds.set(n,s);const[l,_]=this._compute_min_max(this._plot_bounds.values(),i);let[o,r]=this._compute_range(l,_);null!=this._initial_start&&(\"log\"==this.scale_hint?this._initial_start>0&&(o=this._initial_start):o=this._initial_start),null!=this._initial_end&&(\"log\"==this.scale_hint?this._initial_end>0&&(r=this._initial_end):r=this._initial_end);const[h,d]=[this.start,this.end];if(o!=h||r!=d){const t={};o!=h&&(t.start=o),r!=d&&(t.end=r),this.setv(t)}\"auto\"==this.bounds&&this.setv({bounds:[o,r]},{silent:!0}),this.change.emit()}reset(){this.have_updated_interactively=!1,this.setv({range_padding:this._initial_range_padding,range_padding_units:this._initial_range_padding_units,follow:this._initial_follow,follow_interval:this._initial_follow_interval,default_span:this._initial_default_span},{silent:!0}),this.change.emit()}}n.DataRange1d=h,h.__name__=\"DataRange1d\",h.init_DataRange1d()},\n", - " function _(e,a,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),r=e(91),s=n.__importStar(e(18));class _ extends r.Range{constructor(e){super(e)}static init_DataRange(){this.define({names:[s.Array,[]],renderers:[s.Array,[]]})}}t.DataRange=_,_.__name__=\"DataRange\",_.init_DataRange()},\n", - " function _(a,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});var e=a(189);t.Sizeable=e.Sizeable;var r=a(190);t.Layoutable=r.Layoutable,t.LayoutItem=r.LayoutItem;var n=a(191);t.HStack=n.HStack,t.VStack=n.VStack,t.AnchorLayout=n.AnchorLayout;var u=a(192);t.Grid=u.Grid,t.Row=u.Row,t.Column=u.Column;var c=a(193);t.ContentBox=c.ContentBox,t.VariadicBox=c.VariadicBox},\n", - " function _(h,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const{min:e,max:w}=Math;class d{constructor(h={}){this.width=null!=h.width?h.width:0,this.height=null!=h.height?h.height:0}bounded_to({width:h,height:t}){return new d({width:this.width==1/0&&null!=h?h:this.width,height:this.height==1/0&&null!=t?t:this.height})}expanded_to({width:h,height:t}){return new d({width:h!=1/0?w(this.width,h):this.width,height:t!=1/0?w(this.height,t):this.height})}expand_to({width:h,height:t}){this.width=w(this.width,h),this.height=w(this.height,t)}narrowed_to({width:h,height:t}){return new d({width:e(this.width,h),height:e(this.height,t)})}narrow_to({width:h,height:t}){this.width=e(this.width,h),this.height=e(this.height,t)}grow_by({left:h,right:t,top:i,bottom:e}){const w=this.width+h+t,s=this.height+i+e;return new d({width:w,height:s})}shrink_by({left:h,right:t,top:i,bottom:e}){const s=w(this.width-h-t,0),n=w(this.height-i-e,0);return new d({width:s,height:n})}map(h,t){return new d({width:h(this.width),height:(null!=t?t:h)(this.height)})}}i.Sizeable=d,d.__name__=\"Sizeable\"},\n", - " function _(i,t,h){Object.defineProperty(h,\"__esModule\",{value:!0});const e=i(189),s=i(88),{min:n,max:g,round:a}=Math;class r{constructor(){this._bbox=new s.BBox,this._inner_bbox=new s.BBox;const i=this;this._top={get value(){return i.bbox.top}},this._left={get value(){return i.bbox.left}},this._width={get value(){return i.bbox.width}},this._height={get value(){return i.bbox.height}},this._right={get value(){return i.bbox.right}},this._bottom={get value(){return i.bbox.bottom}},this._hcenter={get value(){return i.bbox.hcenter}},this._vcenter={get value(){return i.bbox.vcenter}}}get bbox(){return this._bbox}get inner_bbox(){return this._inner_bbox}get sizing(){return this._sizing}set_sizing(i){const t=i.width_policy||\"fit\",h=i.width,e=null!=i.min_width?i.min_width:0,s=null!=i.max_width?i.max_width:1/0,n=i.height_policy||\"fit\",g=i.height,a=null!=i.min_height?i.min_height:0,r=null!=i.max_height?i.max_height:1/0,l=i.aspect,_=i.margin||{top:0,right:0,bottom:0,left:0},d=!1!==i.visible,o=i.halign||\"start\",u=i.valign||\"start\";this._sizing={width_policy:t,min_width:e,width:h,max_width:s,height_policy:n,min_height:a,height:g,max_height:r,aspect:l,margin:_,visible:d,halign:o,valign:u,size:{width:h,height:g},min_size:{width:e,height:a},max_size:{width:s,height:r}},this._init()}_init(){}_set_geometry(i,t){this._bbox=i,this._inner_bbox=t}set_geometry(i,t){this._set_geometry(i,t||i)}is_width_expanding(){return\"max\"==this.sizing.width_policy}is_height_expanding(){return\"max\"==this.sizing.height_policy}apply_aspect(i,{width:t,height:h}){const{aspect:e}=this.sizing;if(null!=e){const{width_policy:s,height_policy:n}=this.sizing,g=(i,t)=>{const h={max:4,fit:3,min:2,fixed:1};return h[i]>h[t]};if(\"fixed\"!=s&&\"fixed\"!=n)if(s==n){const s=t,n=a(t/e),g=a(h*e),r=h;Math.abs(i.width-s)+Math.abs(i.height-n)<=Math.abs(i.width-g)+Math.abs(i.height-r)?(t=s,h=n):(t=g,h=r)}else g(s,n)?h=a(t/e):t=a(h*e);else\"fixed\"==s?h=a(t/e):\"fixed\"==n&&(t=a(h*e))}return{width:t,height:h}}measure(i){if(!this.sizing.visible)return{width:0,height:0};const t=i=>\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:i,h=i=>\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:i,s=new e.Sizeable(i).shrink_by(this.sizing.margin).map(t,h),n=this._measure(s),g=this.clip_size(n),a=t(g.width),r=h(g.height),l=this.apply_aspect(s,{width:a,height:r});return Object.assign(Object.assign({},n),l)}compute(i={}){const t=this.measure({width:null!=i.width&&this.is_width_expanding()?i.width:1/0,height:null!=i.height&&this.is_height_expanding()?i.height:1/0}),{width:h,height:e}=t,n=new s.BBox({left:0,top:0,width:h,height:e});let g=void 0;if(null!=t.inner){const{left:i,top:n,right:a,bottom:r}=t.inner;g=new s.BBox({left:i,top:n,right:h-a,bottom:e-r})}this.set_geometry(n,g)}get xview(){return this.bbox.xview}get yview(){return this.bbox.yview}clip_width(i){return g(this.sizing.min_width,n(i,this.sizing.max_width))}clip_height(i){return g(this.sizing.min_height,n(i,this.sizing.max_height))}clip_size({width:i,height:t}){return{width:this.clip_width(i),height:this.clip_height(t)}}}h.Layoutable=r,r.__name__=\"Layoutable\";class l extends r{_measure(i){const{width_policy:t,height_policy:h}=this.sizing;let e,s;if(i.width==1/0)e=null!=this.sizing.width?this.sizing.width:0;else switch(t){case\"fixed\":e=null!=this.sizing.width?this.sizing.width:0;break;case\"min\":e=null!=this.sizing.width?n(i.width,this.sizing.width):0;break;case\"fit\":e=null!=this.sizing.width?n(i.width,this.sizing.width):i.width;break;case\"max\":e=null!=this.sizing.width?g(i.width,this.sizing.width):i.width}if(i.height==1/0)s=null!=this.sizing.height?this.sizing.height:0;else switch(h){case\"fixed\":s=null!=this.sizing.height?this.sizing.height:0;break;case\"min\":s=null!=this.sizing.height?n(i.height,this.sizing.height):0;break;case\"fit\":s=null!=this.sizing.height?n(i.height,this.sizing.height):i.height;break;case\"max\":s=null!=this.sizing.height?g(i.height,this.sizing.height):i.height}return{width:e,height:s}}}h.LayoutItem=l,l.__name__=\"LayoutItem\";class _ extends r{_measure(i){const t=this._content_size(),h=i.bounded_to(this.sizing.size).bounded_to(t);return{width:(()=>{switch(this.sizing.width_policy){case\"fixed\":return null!=this.sizing.width?this.sizing.width:t.width;case\"min\":return t.width;case\"fit\":return h.width;case\"max\":return Math.max(t.width,h.width)}})(),height:(()=>{switch(this.sizing.height_policy){case\"fixed\":return null!=this.sizing.height?this.sizing.height:t.height;case\"min\":return t.height;case\"fit\":return h.height;case\"max\":return Math.max(t.height,h.height)}})()}}}h.ContentLayoutable=_,_.__name__=\"ContentLayoutable\"},\n", - " function _(t,e,h){Object.defineProperty(h,\"__esModule\",{value:!0});const o=t(190),r=t(88);class i extends o.Layoutable{constructor(){super(...arguments),this.children=[]}}h.Stack=i,i.__name__=\"Stack\";class s extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e+=o.width,h=Math.max(h,o.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{top:h,bottom:o}=t;let{left:i}=t;for(const t of this.children){const{width:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({left:i,width:e,top:h,bottom:o})),i+=e}}}h.HStack=s,s.__name__=\"HStack\";class n extends i{_measure(t){let e=0,h=0;for(const t of this.children){const o=t.measure({width:0,height:0});e=Math.max(e,o.width),h+=o.height}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);const{left:h,right:o}=t;let{top:i}=t;for(const t of this.children){const{height:e}=t.measure({width:0,height:0});t.set_geometry(new r.BBox({top:i,height:e,left:h,right:o})),i+=e}}}h.VStack=n,n.__name__=\"VStack\";class c extends o.Layoutable{constructor(){super(...arguments),this.children=[]}_measure(t){let e=0,h=0;for(const{layout:o}of this.children){const r=o.measure(t);e=Math.max(e,r.width),h=Math.max(h,r.height)}return{width:e,height:h}}_set_geometry(t,e){super._set_geometry(t,e);for(const{layout:e,anchor:h,margin:o}of this.children){const{left:i,right:s,top:n,bottom:c,hcenter:a,vcenter:_}=t,{width:g,height:d}=e.measure(t);let m;switch(h){case\"top_left\":m=new r.BBox({left:i+o,top:n+o,width:g,height:d});break;case\"top_center\":m=new r.BBox({hcenter:a,top:n+o,width:g,height:d});break;case\"top_right\":m=new r.BBox({right:s-o,top:n+o,width:g,height:d});break;case\"bottom_right\":m=new r.BBox({right:s-o,bottom:c-o,width:g,height:d});break;case\"bottom_center\":m=new r.BBox({hcenter:a,bottom:c-o,width:g,height:d});break;case\"bottom_left\":m=new r.BBox({left:i+o,bottom:c-o,width:g,height:d});break;case\"center_left\":m=new r.BBox({left:i+o,vcenter:_,width:g,height:d});break;case\"center\":m=new r.BBox({hcenter:a,vcenter:_,width:g,height:d});break;case\"center_right\":m=new r.BBox({right:s-o,vcenter:_,width:g,height:d})}e.set_geometry(m)}}}h.AnchorLayout=c,c.__name__=\"AnchorLayout\"},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const e=t(189),o=t(190),n=t(8),r=t(88),h=t(9),{max:l,round:c}=Math;class a{constructor(t){this.def=t,this._map=new Map}get(t){let i=this._map.get(t);return void 0===i&&(i=this.def(),this._map.set(t,i)),i}apply(t,i){const s=this.get(t);this._map.set(t,i(s))}}a.__name__=\"DefaultMap\";class g{constructor(){this._items=[],this._nrows=0,this._ncols=0}get nrows(){return this._nrows}get ncols(){return this._ncols}add(t,i){const{r1:s,c1:e}=t;this._nrows=l(this._nrows,s+1),this._ncols=l(this._ncols,e+1),this._items.push({span:t,data:i})}at(t,i){return this._items.filter(({span:s})=>s.r0<=t&&t<=s.r1&&s.c0<=i&&i<=s.c1).map(({data:t})=>t)}row(t){return this._items.filter(({span:i})=>i.r0<=t&&t<=i.r1).map(({data:t})=>t)}col(t){return this._items.filter(({span:i})=>i.c0<=t&&t<=i.c1).map(({data:t})=>t)}foreach(t){for(const{span:i,data:s}of this._items)t(i,s)}map(t){const i=new g;for(const{span:s,data:e}of this._items)i.add(s,t(s,e));return i}}g.__name__=\"Container\";class p extends o.Layoutable{constructor(t=[]){super(),this.items=t,this.rows=\"auto\",this.cols=\"auto\",this.spacing=0,this.absolute=!1}is_width_expanding(){if(super.is_width_expanding())return!0;if(\"fixed\"==this.sizing.width_policy)return!1;const{cols:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}is_height_expanding(){if(super.is_height_expanding())return!0;if(\"fixed\"==this.sizing.height_policy)return!1;const{rows:t}=this._state;return h.some(t,t=>\"max\"==t.policy)}_init(){super._init();const t=new g;for(const{layout:i,row:s,col:e,row_span:o,col_span:n}of this.items)if(i.sizing.visible){const r=s,h=e,l=s+(null!=o?o:1)-1,c=e+(null!=n?n:1)-1;t.add({r0:r,c0:h,r1:l,c1:c},i)}const{nrows:i,ncols:s}=t,e=new Array(i);for(let s=0;s{const t=n.isPlainObject(this.rows)?this.rows[s]||this.rows[\"*\"]:this.rows;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",height:t}:n.isString(t)?{policy:t}:t})(),o=i.align||\"auto\";if(\"fixed\"==i.policy)e[s]={policy:\"fixed\",height:i.height,align:o};else if(\"min\"==i.policy)e[s]={policy:\"min\",align:o};else if(\"fit\"==i.policy||\"max\"==i.policy)e[s]={policy:i.policy,flex:i.flex||1,align:o};else{if(\"auto\"!=i.policy)throw new Error(\"unrechable\");h.some(t.row(s),t=>t.is_height_expanding())?e[s]={policy:\"max\",flex:1,align:o}:e[s]={policy:\"min\",align:o}}}const o=new Array(s);for(let i=0;i{const t=n.isPlainObject(this.cols)?this.cols[i]||this.cols[\"*\"]:this.cols;return null==t?{policy:\"auto\"}:n.isNumber(t)?{policy:\"fixed\",width:t}:n.isString(t)?{policy:t}:t})(),e=s.align||\"auto\";if(\"fixed\"==s.policy)o[i]={policy:\"fixed\",width:s.width,align:e};else if(\"min\"==s.policy)o[i]={policy:\"min\",align:e};else if(\"fit\"==s.policy||\"max\"==s.policy)o[i]={policy:s.policy,flex:s.flex||1,align:e};else{if(\"auto\"!=s.policy)throw new Error(\"unrechable\");h.some(t.col(i),t=>t.is_width_expanding())?o[i]={policy:\"max\",flex:1,align:e}:o[i]={policy:\"min\",align:e}}}const[r,l]=n.isNumber(this.spacing)?[this.spacing,this.spacing]:this.spacing;this._state={items:t,nrows:i,ncols:s,rows:e,cols:o,rspacing:r,cspacing:l}}_measure_totals(t,i){const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state;return{height:h.sum(t)+(s-1)*o,width:h.sum(i)+(e-1)*n}}_measure_cells(t){const{items:i,nrows:s,ncols:o,rows:n,cols:r,rspacing:h,cspacing:a}=this._state,p=new Array(s);for(let t=0;t{const{r0:o,c0:g,r1:d,c1:w}=i,u=(d-o)*h,m=(w-g)*a;let y=0;for(let i=o;i<=d;i++)y+=t(i,g).height;y+=u;let x=0;for(let i=g;i<=w;i++)x+=t(o,i).width;x+=m;const b=s.measure({width:x,height:y});f.add(i,{layout:s,size_hint:b});const z=new e.Sizeable(b).grow_by(s.sizing.margin);z.height-=u,z.width-=m;const j=[];for(let t=o;t<=d;t++){const i=n[t];\"fixed\"==i.policy?z.height-=i.height:j.push(t)}if(z.height>0){const t=c(z.height/j.length);for(const i of j)p[i]=l(p[i],t)}const O=[];for(let t=g;t<=w;t++){const i=r[t];\"fixed\"==i.policy?z.width-=i.width:O.push(t)}if(z.width>0){const t=c(z.width/O.length);for(const i of O)_[i]=l(_[i],t)}}),{size:this._measure_totals(p,_),row_heights:p,col_widths:_,size_hints:f}}_measure_grid(t){const{nrows:i,ncols:s,rows:e,cols:o,rspacing:n,cspacing:r}=this._state,h=this._measure_cells((t,i)=>{const s=e[t],n=o[i];return{width:\"fixed\"==n.policy?n.width:1/0,height:\"fixed\"==s.policy?s.height:1/0}});let a;a=\"fixed\"==this.sizing.height_policy&&null!=this.sizing.height?this.sizing.height:t.height!=1/0&&this.is_height_expanding()?t.height:h.size.height;let g,p=0;for(let t=0;t0)for(let t=0;ti?i:e,t--}}}g=\"fixed\"==this.sizing.width_policy&&null!=this.sizing.width?this.sizing.width:t.width!=1/0&&this.is_width_expanding()?t.width:h.size.width;let _=0;for(let t=0;t0)for(let t=0;ts?s:o,t--}}}const{row_heights:f,col_widths:d,size_hints:w}=this._measure_cells((t,i)=>({width:h.col_widths[i],height:h.row_heights[t]}));return{size:this._measure_totals(f,d),row_heights:f,col_widths:d,size_hints:w}}_measure(t){const{size:i}=this._measure_grid(t);return i}_set_geometry(t,i){super._set_geometry(t,i);const{nrows:s,ncols:e,rspacing:o,cspacing:n}=this._state,{row_heights:h,col_widths:g,size_hints:p}=this._measure_grid(t),_=this._state.rows.map((t,i)=>Object.assign(Object.assign({},t),{top:0,height:h[i],get bottom(){return this.top+this.height}})),f=this._state.cols.map((t,i)=>Object.assign(Object.assign({},t),{left:0,width:g[i],get right(){return this.left+this.width}})),d=p.map((t,i)=>Object.assign(Object.assign({},i),{outer:new r.BBox,inner:new r.BBox}));for(let i=0,e=this.absolute?t.top:0;i{const{layout:l,size_hint:a}=h,{sizing:g}=l,{width:p,height:d}=a,w=function(t,i){let s=(i-t)*n;for(let e=t;e<=i;e++)s+=f[e].width;return s}(i,e),u=function(t,i){let s=(i-t)*o;for(let e=t;e<=i;e++)s+=_[e].height;return s}(t,s),m=i==e&&\"auto\"!=f[i].align?f[i].align:g.halign,y=t==s&&\"auto\"!=_[t].align?_[t].align:g.valign;let x=f[i].left;\"start\"==m?x+=g.margin.left:\"center\"==m?x+=c((w-p)/2):\"end\"==m&&(x+=w-g.margin.right-p);let b=_[t].top;\"start\"==y?b+=g.margin.top:\"center\"==y?b+=c((u-d)/2):\"end\"==y&&(b+=u-g.margin.bottom-d),h.outer=new r.BBox({left:x,top:b,width:p,height:d})});const w=_.map(()=>({start:new a(()=>0),end:new a(()=>0)})),u=f.map(()=>({start:new a(()=>0),end:new a(()=>0)}));d.foreach(({r0:t,c0:i,r1:s,c1:e},{size_hint:o,outer:n})=>{const{inner:r}=o;null!=r&&(w[t].start.apply(n.top,t=>l(t,r.top)),w[s].end.apply(_[s].bottom-n.bottom,t=>l(t,r.bottom)),u[i].start.apply(n.left,t=>l(t,r.left)),u[e].end.apply(f[e].right-n.right,t=>l(t,r.right)))}),d.foreach(({r0:t,c0:i,r1:s,c1:e},o)=>{const{size_hint:n,outer:h}=o;function l({left:t,right:i,top:s,bottom:e}){const o=h.width-t-i,n=h.height-s-e;return new r.BBox({left:t,top:s,width:o,height:n})}if(null!=n.inner){let r=l(n.inner);if(!1!==n.align){const o=w[t].start.get(h.top),n=w[s].end.get(_[s].bottom-h.bottom),c=u[i].start.get(h.left),a=u[e].end.get(f[e].right-h.right);try{r=l({top:o,bottom:n,left:c,right:a})}catch(t){}}o.inner=r}else o.inner=h}),d.foreach((t,{layout:i,outer:s,inner:e})=>{i.set_geometry(s,e)})}}s.Grid=p,p.__name__=\"Grid\";class _ extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:0,col:i})),this.rows=\"fit\"}}s.Row=_,_.__name__=\"Row\";class f extends p{constructor(t){super(),this.items=t.map((t,i)=>({layout:t,row:i,col:0})),this.cols=\"fit\"}}s.Column=f,f.__name__=\"Column\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(190),i=e(189),a=e(68);class c extends n.ContentLayoutable{constructor(e){super(),this.content_size=a.unsized(e,()=>new i.Sizeable(a.size(e)))}_content_size(){return this.content_size}}s.ContentBox=c,c.__name__=\"ContentBox\";class o extends n.Layoutable{constructor(e){super(),this.el=e}_measure(e){const t=new i.Sizeable(e).bounded_to(this.sizing.size);return a.sized(this.el,t,()=>{const e=new i.Sizeable(a.content_size(this.el)),{border:t,padding:s}=a.extents(this.el);return e.grow_by(t).grow_by(s).map(Math.ceil)})}}s.VariadicBox=o,o.__name__=\"VariadicBox\";class r extends o{constructor(e){super(e),this._cache=new Map}_measure(e){const{width:t,height:s}=e,n=`${t},${s}`;let i=this._cache.get(n);return null==i&&(i=super._measure(e),this._cache.set(n,i)),i}invalidate_cache(){this._cache.clear()}}s.CachedVariadicBox=r,r.__name__=\"CachedVariadicBox\"},\n", - " function _(e,r,u){Object.defineProperty(u,\"__esModule\",{value:!0});var a=e(195);u.Expression=a.Expression;var n=e(196);u.Stack=n.Stack;var o=e(197);u.CumSum=o.CumSum},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(71);class i extends n.Model{constructor(e){super(e)}initialize(){super.initialize(),this._connected=new Set,this._result=new Map}v_compute(e){this._connected.has(e)||(this.connect(e.change,()=>this._result.delete(e)),this.connect(e.patching,()=>this._result.delete(e)),this.connect(e.streaming,()=>this._result.delete(e)),this._connected.add(e));let t=this._result.get(e);return null==t&&(t=this._v_compute(e),this._result.set(e,t)),t}}s.Expression=i,i.__name__=\"Expression\"},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),o=t(195),r=i.__importStar(t(18));class s extends o.Expression{constructor(t){super(t)}static init_Stack(){this.define({fields:[r.Array,[]]})}_v_compute(t){var e;const n=null!==(e=t.get_length())&&void 0!==e?e:0,i=new Float64Array(n);for(const e of this.fields){const o=t.data[e];if(null!=o)for(let t=0,e=Math.min(n,o.length);t0?a.every(n,s.isBoolean)?(n.length!==e.get_length()&&r.logger.warn(this+\": length of booleans doesn't match data source\"),a.range(0,n.length).filter(e=>!0===n[e])):(r.logger.warn(this+\": booleans should be array of booleans, defaulting to no filtering\"),null):(null!=n&&0==n.length?r.logger.warn(this+\": booleans is empty, defaulting to no filtering\"):r.logger.warn(this+\": booleans was not set, defaulting to no filtering\"),null)}}t.BooleanFilter=g,g.__name__=\"BooleanFilter\",g.init_BooleanFilter()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),l=i.__importStar(e(18)),o=e(8),s=e(9),a=e(72);class f extends n.Model{constructor(e){super(e)}static init_Filter(){this.define({filter:[l.Array,null]})}compute_indices(e){const t=this.filter;return null!=t?o.isArrayOf(t,o.isBoolean)?s.range(0,t.length).filter(e=>!0===t[e]):o.isArrayOf(t,o.isInteger)?t:(a.logger.warn(this+\": filter should either be array of only booleans or only integers, defaulting to no filtering\"),null):(a.logger.warn(this+\": filter was not set to be an array, defaulting to no filtering\"),null)}}r.Filter=f,f.__name__=\"Filter\",f.init_Filter()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),r=t(200),n=i.__importStar(t(18)),u=t(17),c=t(24);class o extends r.Filter{constructor(t){super(t)}static init_CustomJSFilter(){this.define({args:[n.Any,{}],code:[n.String,\"\"]})}get names(){return u.keys(this.args)}get values(){return u.values(this.args)}get func(){const t=c.use_strict(this.code);return new Function(...this.names,\"source\",t)}compute_indices(t){return this.filter=this.func(...this.values,t),super.compute_indices(t)}}s.CustomJSFilter=o,o.__name__=\"CustomJSFilter\",o.init_CustomJSFilter()},\n", - " function _(t,n,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),r=t(200),o=e.__importStar(t(18)),u=t(72),l=t(9);class s extends r.Filter{constructor(t){super(t),this.indices=null}static init_GroupFilter(){this.define({column_name:[o.String],group:[o.String]})}compute_indices(t){const n=t.get_column(this.column_name);return null==n?(u.logger.warn(\"group filter: groupby column not found in data source\"),null):(this.indices=l.range(0,t.get_length()||0).filter(t=>n[t]===this.group),0===this.indices.length&&u.logger.warn(`group filter: group '${this.group}' did not match any values in column '${this.column_name}'`),this.indices)}}i.GroupFilter=s,s.__name__=\"GroupFilter\",s.init_GroupFilter()},\n", - " function _(e,i,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(1),r=e(200),s=t.__importStar(e(18)),l=e(72),d=e(8),o=e(9);class c extends r.Filter{constructor(e){super(e)}static init_IndexFilter(){this.define({indices:[s.Array,null]})}compute_indices(e){return null!=this.indices?o.every(this.indices,d.isInteger)?this.indices:(l.logger.warn(this+\": indices should be array of integers, defaulting to no filtering\"),null):(l.logger.warn(this+\": indices was not set, defaulting to no filtering\"),null)}}n.IndexFilter=c,c.__name__=\"IndexFilter\",c.init_IndexFilter()},\n", - " function _(r,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});var e=r(113);a.BasicTickFormatter=e.BasicTickFormatter;var c=r(154);a.CategoricalTickFormatter=c.CategoricalTickFormatter;var i=r(158);a.DatetimeTickFormatter=i.DatetimeTickFormatter;var o=r(205);a.FuncTickFormatter=o.FuncTickFormatter;var m=r(171);a.LogTickFormatter=m.LogTickFormatter;var F=r(174);a.MercatorTickFormatter=F.MercatorTickFormatter;var k=r(206);a.NumeralTickFormatter=k.NumeralTickFormatter;var T=r(207);a.PrintfTickFormatter=T.PrintfTickFormatter;var v=r(114);a.TickFormatter=v.TickFormatter},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),s=t(114),i=r.__importStar(t(18)),c=t(17),a=t(24);class u extends s.TickFormatter{constructor(t){super(t)}static init_FuncTickFormatter(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get names(){return c.keys(this.args)}get values(){return c.values(this.args)}_make_func(){const t=a.use_strict(this.code);return new Function(\"tick\",\"index\",\"ticks\",...this.names,t)}doFormat(t,e){const n=this._make_func().bind({});return t.map((t,e,r)=>n(t,e,r,...this.values))}}n.FuncTickFormatter=u,u.__name__=\"FuncTickFormatter\",u.init_FuncTickFormatter()},\n", - " function _(r,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=r(1),o=e.__importStar(r(161)),a=r(114),i=e.__importStar(r(18));class u extends a.TickFormatter{constructor(r){super(r)}static init_NumeralTickFormatter(){this.define({format:[i.String,\"0,0\"],language:[i.String,\"en\"],rounding:[i.RoundingFunction,\"round\"]})}get _rounding_fn(){switch(this.rounding){case\"round\":case\"nearest\":return Math.round;case\"floor\":case\"rounddown\":return Math.floor;case\"ceil\":case\"roundup\":return Math.ceil}}doFormat(r,t){const{format:n,language:e,_rounding_fn:a}=this;return r.map(r=>o.format(r,n,e,a))}}n.NumeralTickFormatter=u,u.__name__=\"NumeralTickFormatter\",u.init_NumeralTickFormatter()},\n", - " function _(t,r,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=t(1),n=t(114),o=t(160),a=e.__importStar(t(18));class c extends n.TickFormatter{constructor(t){super(t)}static init_PrintfTickFormatter(){this.define({format:[a.String,\"%s\"]})}doFormat(t,r){return t.map(t=>o.sprintf(this.format,t))}}i.PrintfTickFormatter=c,c.__name__=\"PrintfTickFormatter\",c.init_PrintfTickFormatter()},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var v=a(209);r.AnnularWedge=v.AnnularWedge;var l=a(210);r.Annulus=l.Annulus;var t=a(211);r.Arc=t.Arc;var i=a(212);r.Bezier=i.Bezier;var n=a(213);r.Circle=n.Circle;var u=a(214);r.CenterRotatable=u.CenterRotatable;var c=a(215);r.Ellipse=c.Ellipse;var g=a(216);r.EllipseOval=g.EllipseOval;var A=a(89);r.Glyph=A.Glyph;var p=a(95);r.HArea=p.HArea;var s=a(217);r.HBar=s.HBar;var d=a(219);r.HexTile=d.HexTile;var R=a(220);r.Image=R.Image;var o=a(222);r.ImageRGBA=o.ImageRGBA;var y=a(223);r.ImageURL=y.ImageURL;var h=a(83);r.Line=h.Line;var m=a(225);r.MultiLine=m.MultiLine;var B=a(226);r.MultiPolygons=B.MultiPolygons;var P=a(227);r.Oval=P.Oval;var G=a(94);r.Patch=G.Patch;var H=a(228);r.Patches=H.Patches;var I=a(229);r.Quad=I.Quad;var L=a(230);r.Quadratic=L.Quadratic;var M=a(231);r.Ray=M.Ray;var O=a(232);r.Rect=O.Rect;var x=a(233);r.Segment=x.Segment;var C=a(234);r.Step=C.Step;var E=a(235);r.Text=E.Text;var Q=a(97);r.VArea=Q.VArea;var S=a(236);r.VBar=S.VBar;var T=a(237);r.Wedge=T.Wedge;var V=a(84);r.XYGlyph=V.XYGlyph},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(92),a=e(23),_=i.__importStar(e(18)),o=e(10),h=e(79);class u extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius,this._angle=new Float32Array(this._start_angle.length);for(let e=0,t=this._start_angle.length;e=s&&d.push([e,h])}const l=this.model.properties.direction.value(),c=[];for(const[e,i]of d){const r=Math.atan2(s-this.sy[e],t-this.sx[e]);o.angle_between(-r,-this._start_angle[e],-this._end_angle[e],l)&&c.push([e,i])}return h.Selection.from_hits(c)}draw_legend_for_index(e,t,s){n.generic_area_legend(this.visuals,e,t,s)}_scenterxy(e){const t=(this.sinner_radius[e]+this.souter_radius[e])/2,s=(this._start_angle[e]+this._end_angle[e])/2;return{x:this.sx[e]+t*Math.cos(s),y:this.sy[e]+t*Math.sin(s)}}scenterx(e){return this._scenterxy(e).x}scentery(e){return this._scenterxy(e).y}}s.AnnularWedgeView=u,u.__name__=\"AnnularWedgeView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_AnnularWedge(){this.prototype.default_view=u,this.mixins([a.LineVector,a.FillVector]),this.define({direction:[_.Direction,\"anticlock\"],inner_radius:[_.DistanceSpec],outer_radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.AnnularWedge=d,d.__name__=\"AnnularWedge\",d.init_AnnularWedge()},\n", - " function _(s,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=s(1),r=s(84),a=s(23),n=t.__importStar(s(18)),_=s(28),u=s(79);class o extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.inner_radius.units?this.sinner_radius=this.sdist(this.renderer.xscale,this._x,this._inner_radius):this.sinner_radius=this._inner_radius,\"data\"==this.model.properties.outer_radius.units?this.souter_radius=this.sdist(this.renderer.xscale,this._x,this._outer_radius):this.souter_radius=this._outer_radius}_render(s,i,{sx:e,sy:t,sinner_radius:r,souter_radius:a}){for(const n of i)if(!isNaN(e[n]+t[n]+r[n]+a[n])){if(this.visuals.fill.doit){if(this.visuals.fill.set_vectorize(s,n),s.beginPath(),_.is_ie)for(const i of[!1,!0])s.arc(e[n],t[n],r[n],0,Math.PI,i),s.arc(e[n],t[n],a[n],Math.PI,0,!i);else s.arc(e[n],t[n],r[n],0,2*Math.PI,!0),s.arc(e[n],t[n],a[n],2*Math.PI,0,!1);s.fill()}this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),s.beginPath(),s.arc(e[n],t[n],r[n],0,2*Math.PI),s.moveTo(e[n]+a[n],t[n]),s.arc(e[n],t[n],a[n],0,2*Math.PI),s.stroke())}}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,_,o;if(\"data\"==this.model.properties.outer_radius.units)a=t-this.max_outer_radius,_=t+this.max_outer_radius,n=r-this.max_outer_radius,o=r+this.max_outer_radius;else{const s=i-this.max_outer_radius,t=i+this.max_outer_radius;[a,_]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_outer_radius,u=e+this.max_outer_radius;[n,o]=this.renderer.yscale.r_invert(r,u)}const h=[];for(const s of this.index.indices({x0:a,x1:_,y0:n,y1:o})){const i=this.souter_radius[s]**2,e=this.sinner_radius[s]**2,[a,n]=this.renderer.xscale.r_compute(t,this._x[s]),[_,u]=this.renderer.yscale.r_compute(r,this._y[s]),o=(a-n)**2+(_-u)**2;o<=i&&o>=e&&h.push([s,o])}return u.Selection.from_hits(h)}draw_legend_for_index(s,{x0:i,y0:e,x1:t,y1:r},a){const n=a+1,_=new Array(n);_[a]=(i+t)/2;const u=new Array(n);u[a]=(e+r)/2;const o=.5*Math.min(Math.abs(t-i),Math.abs(r-e)),h=new Array(n);h[a]=.4*o;const d=new Array(n);d[a]=.8*o,this._render(s,[a],{sx:_,sy:u,sinner_radius:h,souter_radius:d})}}e.AnnulusView=o,o.__name__=\"AnnulusView\";class h extends r.XYGlyph{constructor(s){super(s)}static init_Annulus(){this.prototype.default_view=o,this.mixins([a.LineVector,a.FillVector]),this.define({inner_radius:[n.DistanceSpec],outer_radius:[n.DistanceSpec]})}}e.Annulus=h,h.__name__=\"Annulus\",h.init_Annulus()},\n", - " function _(e,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const t=e(1),r=e(84),n=e(92),a=e(23),_=t.__importStar(e(18));class c extends r.XYGlyphView{_map_data(){\"data\"==this.model.properties.radius.units?this.sradius=this.sdist(this.renderer.xscale,this._x,this._radius):this.sradius=this._radius}_render(e,i,{sx:s,sy:t,sradius:r,_start_angle:n,_end_angle:a}){if(this.visuals.line.doit){const _=this.model.properties.direction.value();for(const c of i)isNaN(s[c]+t[c]+r[c]+n[c]+a[c])||(e.beginPath(),e.arc(s[c],t[c],r[c],n[c],a[c],_),this.visuals.line.set_vectorize(e,c),e.stroke())}}draw_legend_for_index(e,i,s){n.generic_line_legend(this.visuals,e,i,s)}}s.ArcView=c,c.__name__=\"ArcView\";class d extends r.XYGlyph{constructor(e){super(e)}static init_Arc(){this.prototype.default_view=c,this.mixins(a.LineVector),this.define({direction:[_.Direction,\"anticlock\"],radius:[_.DistanceSpec],start_angle:[_.AngleSpec],end_angle:[_.AngleSpec]})}}s.Arc=d,d.__name__=\"Arc\",d.init_Arc()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(23),n=t(85),c=t(89),o=t(92);function r(t,e,i,s,n,c,o,r){const h=[],_=[[],[]];for(let _=0;_<=2;_++){let a,x,l;if(0===_?(x=6*t-12*i+6*n,a=-3*t+9*i-9*n+3*o,l=3*i-3*t):(x=6*e-12*s+6*c,a=-3*e+9*s-9*c+3*r,l=3*s-3*e),Math.abs(a)<1e-12){if(Math.abs(x)<1e-12)continue;const t=-l/x;0Math.max(s,i[e]));break}case\"min\":{const s=this.sdist(this.renderer.xscale,this._x,this._radius),i=this.sdist(this.renderer.yscale,this._y,this._radius);this.sradius=_.map(s,(s,e)=>Math.min(s,i[e]));break}}else this.sradius=this._radius,this.max_size=2*this.max_radius;else this.sradius=_.map(this._size,s=>s/2)}_mask_data(){const[s,i]=this.renderer.plot_view.frame.bbox.ranges;let e,t,r,a;if(null!=this._radius&&\"data\"==this.model.properties.radius.units){const n=s.start,h=s.end;[e,r]=this.renderer.xscale.r_invert(n,h),e-=this.max_radius,r+=this.max_radius;const d=i.start,_=i.end;[t,a]=this.renderer.yscale.r_invert(d,_),t-=this.max_radius,a+=this.max_radius}else{const n=s.start-this.max_size,h=s.end+this.max_size;[e,r]=this.renderer.xscale.r_invert(n,h);const d=i.start-this.max_size,_=i.end+this.max_size;[t,a]=this.renderer.yscale.r_invert(d,_)}return this.index.indices({x0:e,x1:r,y0:t,y1:a})}_render(s,i,{sx:e,sy:t,sradius:r}){for(const a of i)isNaN(e[a]+t[a]+r[a])||(s.beginPath(),s.arc(e[a],t[a],r[a],0,2*Math.PI,!1),this.visuals.fill.doit&&(this.visuals.fill.set_vectorize(s,a),s.fill()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,a),s.stroke()))}_hit_point(s){const{sx:i,sy:e}=s,t=this.renderer.xscale.invert(i),r=this.renderer.yscale.invert(e);let a,n,h,d;if(null!=this._radius&&\"data\"==this.model.properties.radius.units)a=t-this.max_radius,n=t+this.max_radius,h=r-this.max_radius,d=r+this.max_radius;else{const s=i-this.max_size,t=i+this.max_size;[a,n]=this.renderer.xscale.r_invert(s,t);const r=e-this.max_size,_=e+this.max_size;[h,d]=this.renderer.yscale.r_invert(r,_)}const _=this.index.indices({x0:a,x1:n,y0:h,y1:d}),c=[];if(null!=this._radius&&\"data\"==this.model.properties.radius.units)for(const s of _){const i=this.sradius[s]**2,[e,a]=this.renderer.xscale.r_compute(t,this._x[s]),[n,h]=this.renderer.yscale.r_compute(r,this._y[s]),d=(e-a)**2+(n-h)**2;d<=i&&c.push([s,d])}else for(const s of _){const t=this.sradius[s]**2,r=(this.sx[s]-i)**2+(this.sy[s]-e)**2;r<=t&&c.push([s,r])}return l.Selection.from_hits(c)}_hit_span(s){const{sx:i,sy:e}=s,t=this.bounds();let r,a,n,h;if(\"h\"==s.direction){let s,e;if(n=t.y0,h=t.y1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=i-this.max_radius,e=i+this.max_radius,[r,a]=this.renderer.xscale.r_invert(s,e);else{const t=this.max_size/2;s=i-t,e=i+t,[r,a]=this.renderer.xscale.r_invert(s,e)}}else{let s,i;if(r=t.x0,a=t.x1,null!=this._radius&&\"data\"==this.model.properties.radius.units)s=e-this.max_radius,i=e+this.max_radius,[n,h]=this.renderer.yscale.r_invert(s,i);else{const t=this.max_size/2;s=e-t,i=e+t,[n,h]=this.renderer.yscale.r_invert(s,i)}}const d=this.index.indices({x0:r,x1:a,y0:n,y1:h});return new l.Selection({indices:d})}_hit_rect(s){const{sx0:i,sx1:e,sy0:t,sy1:r}=s,[a,n]=this.renderer.xscale.r_invert(i,e),[h,d]=this.renderer.yscale.r_invert(t,r),_=this.index.indices({x0:a,x1:n,y0:h,y1:d});return new l.Selection({indices:_})}_hit_poly(s){const{sx:i,sy:e}=s,t=d.range(0,this.sx.length),r=[];for(let s=0,a=t.length;s1?(o[r]=d,x[r]=d/l):(o[r]=d*l,x[r]=d),this._render(t,[r],{sx:_,sy:n,sw:o,sh:x,_angle:[0]})}_bounds({x0:t,x1:s,y0:i,y1:e}){return{x0:t-this.max_w2,x1:s+this.max_w2,y0:i-this.max_h2,y1:e+this.max_h2}}}i.EllipseOvalView=_,_.__name__=\"EllipseOvalView\";class n extends h.CenterRotatable{constructor(t){super(t)}}i.EllipseOval=n,n.__name__=\"EllipseOval\"},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),h=t(218),r=i.__importStar(t(18));class _ extends h.BoxView{scenterx(t){return(this.sleft[t]+this.sright[t])/2}scentery(t){return this.sy[t]}_index_data(){return this._index_box(this._y.length)}_lrtb(t){return[Math.min(this._left[t],this._right[t]),Math.max(this._left[t],this._right[t]),this._y[t]+.5*this._height[t],this._y[t]-.5*this._height[t]]}_map_data(){this.sy=this.renderer.yscale.v_compute(this._y),this.sh=this.sdist(this.renderer.yscale,this._y,this._height,\"center\"),this.sleft=this.renderer.xscale.v_compute(this._left),this.sright=this.renderer.xscale.v_compute(this._right);const t=this.sy.length;this.stop=new Float64Array(t),this.sbottom=new Float64Array(t);for(let s=0;s{t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.fill()},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(t,h),t.beginPath(),t.rect(i[h],r[h],s[h]-i[h],n[h]-r[h]),t.stroke()))}_clamp_viewport(){const t=this.renderer.plot_view.frame.bbox.h_range,e=this.renderer.plot_view.frame.bbox.v_range,i=this.stop.length;for(let s=0;sthis._update_image())}_update_image(){null!=this.image_data&&(this._set_data(null),this.renderer.plot_view.request_render())}_flat_img_to_buf8(e){return this.model.color_mapper.rgba_mapper.v_compute(e)}}a.ImageView=r,r.__name__=\"ImageView\";class o extends i.ImageBase{constructor(e){super(e)}static init_Image(){this.prototype.default_view=r,this.define({color_mapper:[s.Instance,()=>new n.LinearColorMapper({palette:[\"#000000\",\"#252525\",\"#525252\",\"#737373\",\"#969696\",\"#bdbdbd\",\"#d9d9d9\",\"#f0f0f0\",\"#ffffff\"]})]})}}a.Image=o,o.__name__=\"Image\",o.init_Image()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),a=e(84),h=s.__importStar(e(18)),n=e(79),_=e(85),r=e(9),d=e(26);class l extends a.XYGlyphView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.global_alpha.change,()=>this.renderer.request_render())}_render(e,t,{image_data:i,sx:s,sy:a,sw:h,sh:n}){const _=e.getImageSmoothingEnabled();e.setImageSmoothingEnabled(!1),e.globalAlpha=this.model.global_alpha;for(const _ of t){if(null==i[_]||isNaN(s[_]+a[_]+h[_]+n[_]))continue;const t=a[_];e.translate(0,t),e.scale(1,-1),e.translate(0,-t),e.drawImage(i[_],0|s[_],0|a[_],h[_],n[_]),e.translate(0,t),e.scale(1,-1),e.translate(0,-t)}e.setImageSmoothingEnabled(_)}_set_data(e){this._set_width_heigh_data();for(let t=0,i=this._image.length;tthis.renderer.request_render())}_index_data(){return new h.SpatialIndex([])}_set_data(){null!=this.image&&this.image.length==this._url.length||(this.image=n.map(this._url,()=>null));const{retry_attempts:e,retry_timeout:t}=this.model;for(let s=0,i=this._url.length;s{this.image[s]=e,this.renderer.request_render()},attempts:e+1,timeout:t})}const s=\"data\"==this.model.properties.w.units,i=\"data\"==this.model.properties.h.units,r=this._x.length,a=new Array(s?2*r:r),h=new Array(i?2*r:r);for(let e=0;eNaN),t=null!=this.model.h?this._h:n.map(this._x,()=>NaN);switch(this.model.properties.w.units){case\"data\":this.sw=this.sdist(this.renderer.xscale,this._x,e,\"edge\",this.model.dilate);break;case\"screen\":this.sw=e}switch(this.model.properties.h.units){case\"data\":this.sh=this.sdist(this.renderer.yscale,this._y,t,\"edge\",this.model.dilate);break;case\"screen\":this.sh=t}}_render(e,t,{image:s,sx:i,sy:r,sw:a,sh:n,_angle:h}){const{frame:l}=this.renderer.plot_view;e.rect(l._left.value+1,l._top.value+1,l._width.value-2,l._height.value-2),e.clip();let _=!0;for(const l of t){if(isNaN(i[l]+r[l]+h[l]))continue;const t=s[l];null!=t?this._render_image(e,l,t,i,r,a,n,h):_=!1}_&&!this._images_rendered&&(this._images_rendered=!0,this.notify_finished())}_final_sx_sy(e,t,s,i,r){switch(e){case\"top_left\":return[t,s];case\"top_center\":return[t-i/2,s];case\"top_right\":return[t-i,s];case\"center_right\":return[t-i,s-r/2];case\"bottom_right\":return[t-i,s-r];case\"bottom_center\":return[t-i/2,s-r];case\"bottom_left\":return[t,s-r];case\"center_left\":return[t,s-r/2];case\"center\":return[t-i/2,s-r/2]}}_render_image(e,t,s,i,r,a,n,h){isNaN(a[t])&&(a[t]=s.width),isNaN(n[t])&&(n[t]=s.height);const{anchor:l}=this.model,[_,o]=this._final_sx_sy(l,i[t],r[t],a[t],n[t]);e.save(),e.globalAlpha=this.model.global_alpha;const d=a[t]/2,c=n[t]/2;h[t]?(e.translate(_,o),e.translate(d,c),e.rotate(h[t]),e.translate(-d,-c),e.drawImage(s,0,0,a[t],n[t]),e.translate(d,c),e.rotate(-h[t]),e.translate(-d,-c),e.translate(-_,-o)):e.drawImage(s,_,o,a[t],n[t]),e.restore()}bounds(){return this._bounds_rect}}s.ImageURLView=_,_.__name__=\"ImageURLView\";class o extends r.XYGlyph{constructor(e){super(e)}static init_ImageURL(){this.prototype.default_view=_,this.define({url:[a.StringSpec],anchor:[a.Anchor,\"top_left\"],global_alpha:[a.Number,1],angle:[a.AngleSpec,0],w:[a.DistanceSpec],h:[a.DistanceSpec],dilate:[a.Boolean,!1],retry_attempts:[a.Number,0],retry_timeout:[a.Number,0]})}}s.ImageURL=o,o.__name__=\"ImageURL\",o.init_ImageURL()},\n", - " function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=i(72);class a{constructor(i,e={}){this._image=new Image,this._finished=!1;const{attempts:t=1,timeout:a=1}=e;this.promise=new Promise((o,n)=>{this._image.crossOrigin=\"anonymous\";let r=0;this._image.onerror=()=>{if(++r==t){const a=`unable to load ${i} image after ${t} attempts`;if(s.logger.warn(a),null==this._image.crossOrigin)return void(null!=e.failed&&e.failed());s.logger.warn(`attempting to load ${i} without a cross origin policy`),this._image.crossOrigin=null,r=0}setTimeout(()=>this._image.src=i,a)},this._image.onload=()=>{this._finished=!0,null!=e.loaded&&e.loaded(this._image),o(this._image)},this._image.src=i})}get finished(){return this._finished}get image(){return this._image}}t.ImageLoader=a,a.__name__=\"ImageLoader\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(85),l=t(23),o=i.__importStar(t(93)),r=t(9),h=t(17),_=t(89),c=t(92),a=t(79);class x extends _.GlyphView{_index_data(){const t=[];for(let e=0,s=this._xs.length;e0&&l.set(t,e)}return new a.Selection({indices:[...l.keys()],multiline_indices:h.to_object(l)})}get_interpolation_hit(t,e,s){const[i,n,l,o]=[this._xs[t][e],this._ys[t][e],this._xs[t][e+1],this._ys[t][e+1]];return c.line_interpolation(this.renderer,s,i,n,l,o)}draw_legend_for_index(t,e,s){c.generic_line_legend(this.visuals,t,e,s)}scenterx(){throw new Error(\"not implemented\")}scentery(){throw new Error(\"not implemented\")}}s.MultiLineView=x,x.__name__=\"MultiLineView\";class u extends _.Glyph{constructor(t){super(t)}static init_MultiLine(){this.prototype.default_view=x,this.coords([[\"xs\",\"ys\"]]),this.mixins(l.LineVector)}}s.MultiLine=u,u.__name__=\"MultiLine\",u.init_MultiLine()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(85),r=e(89),o=e(92),l=e(9),h=e(12),_=e(23),a=i.__importStar(e(93)),c=e(79),d=e(8),x=e(11);class y extends r.GlyphView{_index_data(){const e=[];for(let t=0,s=this._xs.length;t1)for(let i=1,n=this._xs[t][s].length;ie-t).filter((e,t,s)=>0===t||e!==s[t-1])}_inner_loop(e,t,s){e.beginPath();for(let i=0,n=t.length;i{this._inner_loop(e,t,r),e.fill(\"evenodd\")},()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(e,n),this._inner_loop(e,t,r),e.stroke())}}_hit_rect(e){const{sx0:t,sx1:s,sy0:i,sy1:n}=e,r=[t,s,s,t],o=[i,i,n,n],[l,h]=this.renderer.xscale.r_invert(t,s),[_,d]=this.renderer.yscale.r_invert(i,n),x=this.index.indices({x0:l,x1:h,y0:_,y1:d}),y=[];for(let e=0,t=x.length;e1){let o=!1;for(let i=1;i0;){const s=l.find_last_index(i,s=>isNaN(s));let n;s>=0?n=i.splice(s):(n=i,i=[]);const r=n.filter(s=>!isNaN(s));t[e].push(r)}}return t}_index_data(){const s=this._build_discontinuous_object(this._xs),t=this._build_discontinuous_object(this._ys),e=[];for(let i=0,n=this._xs.length;is-t)}_inner_loop(s,t,e,i){for(let n=0,r=t.length;nthis._inner_loop(s,t,r,s.fill),()=>this.renderer.request_render()),this.visuals.line.doit&&(this.visuals.line.set_vectorize(s,n),this._inner_loop(s,t,r,s.stroke))}}_hit_rect(s){const{sx0:t,sx1:e,sy0:i,sy1:n}=s,r=[t,e,e,t],o=[i,i,n,n],[l,_]=this.renderer.xscale.r_invert(t,e),[h,d]=this.renderer.yscale.r_invert(i,n),u=this.index.indices({x0:l,x1:_,y0:h,y1:d}),x=[];for(let s=0,t=u.length;s=0,i=e-this.sy1[t]<=this.sh[t]&&e-this.sy1[t]>=0;i&&h&&f.push(t)}return new _.Selection({indices:f})}_map_dist_corner_for_data_side_length(t,s,e){const i=t.length,h=new Float64Array(i),a=new Float64Array(i);for(let e=0;e1&&(e.stroke(),s=!1)}s?(e.lineTo(t,a),e.lineTo(l,_)):(e.beginPath(),e.moveTo(i[r],n[r]),s=!0),o=r}e.lineTo(i[r-1],n[r-1]),e.stroke()}}draw_legend_for_index(e,t,i){o.generic_line_legend(this.visuals,e,t,i)}}i.StepView=a,a.__name__=\"StepView\";class _ extends s.XYGlyph{constructor(e){super(e)}static init_Step(){this.prototype.default_view=a,this.mixins(r.LineVector),this.define({mode:[l.StepMode,\"before\"]})}}i.Step=_,_.__name__=\"Step\",_.init_Step()},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1),n=t(84),_=t(23),o=i.__importStar(t(93)),h=i.__importStar(t(18)),r=t(132),l=t(11),a=t(79);class c extends n.XYGlyphView{_rotate_point(t,e,s,i,n){return[(t-s)*Math.cos(n)-(e-i)*Math.sin(n)+s,(t-s)*Math.sin(n)+(e-i)*Math.cos(n)+i]}_text_bounds(t,e,s,i){return[[t,t+s,t+s,t,t],[e,e,e-i,e-i,e]]}_render(t,e,{sx:s,sy:i,_x_offset:n,_y_offset:_,_angle:o,_text:h}){this._sys=[],this._sxs=[];for(const l of e)if(this._sxs[l]=[],this._sys[l]=[],!isNaN(s[l]+i[l]+n[l]+_[l]+o[l])&&null!=h[l]&&this.visuals.text.doit){const e=\"\"+h[l];t.save(),t.translate(s[l]+n[l],i[l]+_[l]),t.rotate(o[l]),this.visuals.text.set_vectorize(t,l);const a=this.visuals.text.cache_select(\"font\",l),{height:c}=r.measure_font(a),x=this.visuals.text.text_line_height.value()*c;if(-1==e.indexOf(\"\\n\")){t.fillText(e,0,0);const o=s[l]+n[l],h=i[l]+_[l],r=t.measureText(e).width,[a,c]=this._text_bounds(o,h,r,x);this._sxs[l].push(a),this._sys[l].push(c)}else{const o=e.split(\"\\n\"),h=x*o.length,r=this.visuals.text.cache_select(\"text_baseline\",l);let a;switch(r){case\"top\":a=0;break;case\"middle\":a=-h/2+x/2;break;case\"bottom\":a=-h+x;break;default:a=0,console.warn(`'${r}' baseline not supported with multi line text`)}for(const e of o){t.fillText(e,0,a);const o=s[l]+n[l],h=a+i[l]+_[l],r=t.measureText(e).width,[c,u]=this._text_bounds(o,h,r,x);this._sxs[l].push(c),this._sys[l].push(u),a+=x}}t.restore()}}_hit_point(t){const{sx:e,sy:s}=t,i=[];for(let t=0;tthis.request_render())}_draw_regions(e){if(!this.visuals.band_fill.doit&&!this.visuals.band_hatch.doit)return;this.visuals.band_fill.set_value(e);const[i,t]=this.grid_coords(\"major\",!1);for(let n=0;n{e.fillRect(s[0],r[0],_[1]-s[0],o[1]-r[0])},()=>this.request_render())}}_draw_grids(e){if(!this.visuals.grid_line.doit)return;const[i,t]=this.grid_coords(\"major\");this._draw_grid_helper(e,this.visuals.grid_line,i,t)}_draw_minor_grids(e){if(!this.visuals.minor_grid_line.doit)return;const[i,t]=this.grid_coords(\"minor\");this._draw_grid_helper(e,this.visuals.minor_grid_line,i,t)}_draw_grid_helper(e,i,t,n){i.set_value(e);for(let i=0;it[1]&&(s=t[1]);else{[n,s]=t;for(const e of this.plot_view.axis_views)e.dimension==this.model.dimension&&e.model.x_range_name==this.model.x_range_name&&e.model.y_range_name==this.model.y_range_name&&([n,s]=e.computed_bounds)}return[n,s]}grid_coords(e,i=!0){const t=this.model.dimension,n=(t+1)%2,[s,r]=this.ranges();let[_,o]=this.computed_bounds();[_,o]=[Math.min(_,o),Math.max(_,o)];const a=[[],[]],d=this.model.get_ticker();if(null==d)return a;const l=d.get_ticks(_,o,s,r.min,{})[e],h=s.min,m=s.max,c=r.min,u=r.max;i||(l[0]!=h&&l.splice(0,0,h),l[l.length-1]!=m&&l.push(m));for(let e=0;ethis.rebuild())}get child_models(){return this.model.children}}i.BoxView=c,c.__name__=\"BoxView\";class r extends s.LayoutDOM{constructor(e){super(e)}static init_Box(){this.define({children:[o.Array,[]],spacing:[o.Number,0]})}}i.Box=r,r.__name__=\"Box\",r.init_Box()},\n", - " function _(t,i,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),o=t(71),l=t(68),n=t(72),h=t(8),a=s.__importStar(t(18)),_=t(99),r=t(66),d=t(246);class u extends r.DOMView{constructor(){super(...arguments),this._idle_notified=!1,this._offset_parent=null,this._viewport={}}initialize(){super.initialize(),this.el.style.position=this.is_root?\"relative\":\"absolute\",this._child_views=new Map}async lazy_initialize(){await this.build_child_views()}remove(){for(const t of this.child_views)t.remove();this._child_views.clear(),super.remove()}connect_signals(){super.connect_signals(),this.is_root&&(this._on_resize=()=>this.resize_layout(),window.addEventListener(\"resize\",this._on_resize),this._parent_observer=setInterval(()=>{const t=this.el.offsetParent;this._offset_parent!=t&&(this._offset_parent=t,null!=t&&(this.compute_viewport(),this.invalidate_layout()))},250));const t=this.model.properties;this.on_change([t.width,t.height,t.min_width,t.min_height,t.max_width,t.max_height,t.margin,t.width_policy,t.height_policy,t.sizing_mode,t.aspect_ratio,t.visible],()=>this.invalidate_layout()),this.on_change([t.background,t.css_classes],()=>this.invalidate_render())}disconnect_signals(){null!=this._parent_observer&&clearTimeout(this._parent_observer),null!=this._on_resize&&window.removeEventListener(\"resize\",this._on_resize),super.disconnect_signals()}css_classes(){return super.css_classes().concat(this.model.css_classes)}get child_views(){return this.child_models.map(t=>this._child_views.get(t))}async build_child_views(){await _.build_views(this._child_views,this.child_models,{parent:this})}render(){super.render(),l.empty(this.el);const{background:t}=this.model;this.el.style.backgroundColor=null!=t?t:\"\",l.classes(this.el).clear().add(...this.css_classes());for(const t of this.child_views)this.el.appendChild(t.el),t.render()}update_layout(){for(const t of this.child_views)t.update_layout();this._update_layout()}update_position(){this.el.style.display=this.model.visible?\"block\":\"none\";const t=this.is_root?this.layout.sizing.margin:void 0;l.position(this.el,this.layout.bbox,t);for(const t of this.child_views)t.update_position()}after_layout(){for(const t of this.child_views)t.after_layout();this._has_finished=!0}compute_viewport(){this._viewport=this._viewport_size()}renderTo(t){t.appendChild(this.el),this._offset_parent=this.el.offsetParent,this.compute_viewport(),this.build()}build(){return this.assert_root(),this.render(),this.update_layout(),this.compute_layout(),this}async rebuild(){await this.build_child_views(),this.invalidate_render()}compute_layout(){const t=Date.now();this.layout.compute(this._viewport),this.update_position(),this.after_layout(),n.logger.debug(`layout computed in ${Date.now()-t} ms`),this.notify_finished()}resize_layout(){this.root.compute_viewport(),this.root.compute_layout()}invalidate_layout(){this.root.update_layout(),this.root.compute_layout()}invalidate_render(){this.render(),this.invalidate_layout()}has_finished(){if(!super.has_finished())return!1;for(const t of this.child_views)if(!t.has_finished())return!1;return!0}notify_finished(){this.is_root?!this._idle_notified&&this.has_finished()&&null!=this.model.document&&(this._idle_notified=!0,this.model.document.notify_idle(this.model)):this.root.notify_finished()}_width_policy(){return null!=this.model.width?\"fixed\":\"fit\"}_height_policy(){return null!=this.model.height?\"fixed\":\"fit\"}box_sizing(){let{width_policy:t,height_policy:i,aspect_ratio:e}=this.model;\"auto\"==t&&(t=this._width_policy()),\"auto\"==i&&(i=this._height_policy());const{sizing_mode:s}=this.model;if(null!=s)if(\"fixed\"==s)t=i=\"fixed\";else if(\"stretch_both\"==s)t=i=\"max\";else if(\"stretch_width\"==s)t=\"max\";else if(\"stretch_height\"==s)i=\"max\";else switch(null==e&&(e=\"auto\"),s){case\"scale_width\":t=\"max\",i=\"min\";break;case\"scale_height\":t=\"min\",i=\"max\";break;case\"scale_both\":t=\"max\",i=\"max\"}const o={width_policy:t,height_policy:i},{min_width:l,min_height:n}=this.model;null!=l&&(o.min_width=l),null!=n&&(o.min_height=n);const{width:a,height:_}=this.model;null!=a&&(o.width=a),null!=_&&(o.height=_);const{max_width:r,max_height:d}=this.model;null!=r&&(o.max_width=r),null!=d&&(o.max_height=d),\"auto\"==e&&null!=a&&null!=_?o.aspect=a/_:h.isNumber(e)&&(o.aspect=e);const{margin:u}=this.model;if(null!=u)if(h.isNumber(u))o.margin={top:u,right:u,bottom:u,left:u};else if(2==u.length){const[t,i]=u;o.margin={top:t,right:i,bottom:t,left:i}}else{const[t,i,e,s]=u;o.margin={top:t,right:i,bottom:e,left:s}}o.visible=this.model.visible;const{align:c}=this.model;return h.isArray(c)?[o.halign,o.valign]=c:o.halign=o.valign=c,o}_viewport_size(){return l.undisplayed(this.el,()=>{let t=this.el;for(;t=t.parentElement;){if(t.classList.contains(d.bk_root))continue;if(t==document.body){const{margin:{left:t,right:i,top:e,bottom:s}}=l.extents(document.body);return{width:Math.ceil(document.documentElement.clientWidth-t-i),height:Math.ceil(document.documentElement.clientHeight-e-s)}}const{padding:{left:i,right:e,top:s,bottom:o}}=l.extents(t),{width:n,height:h}=t.getBoundingClientRect(),a=Math.ceil(n-i-e),_=Math.ceil(h-s-o);if(a>0||_>0)return{width:a>0?a:void 0,height:_>0?_:void 0}}return{}})}serializable_state(){return Object.assign(Object.assign({},super.serializable_state()),{bbox:this.layout.bbox.box,children:this.child_views.map(t=>t.serializable_state())})}}e.LayoutDOMView=u,u.__name__=\"LayoutDOMView\";class c extends o.Model{constructor(t){super(t)}static init_LayoutDOM(){this.define({width:[a.Number,null],height:[a.Number,null],min_width:[a.Number,null],min_height:[a.Number,null],max_width:[a.Number,null],max_height:[a.Number,null],margin:[a.Any,[0,0,0,0]],width_policy:[a.Any,\"auto\"],height_policy:[a.Any,\"auto\"],aspect_ratio:[a.Any,null],sizing_mode:[a.SizingMode,null],visible:[a.Boolean,!0],disabled:[a.Boolean,!1],align:[a.Any,\"start\"],background:[a.Color,null],css_classes:[a.Array,[]]})}}e.LayoutDOM=c,c.__name__=\"LayoutDOM\",c.init_LayoutDOM()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_root=\"bk-root\"},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),n=t(192),l=s.__importStar(t(18));class u extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new n.Column(t),this.layout.rows=this.model.rows,this.layout.spacing=[this.model.spacing,0],this.layout.set_sizing(this.box_sizing())}}i.ColumnView=u,u.__name__=\"ColumnView\";class _ extends e.Box{constructor(t){super(t)}static init_Column(){this.prototype.default_view=u,this.define({rows:[l.Any,\"auto\"]})}}i.Column=_,_.__name__=\"Column\",_.init_Column()},\n", - " function _(t,i,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=t(1),e=t(245),n=t(192),l=o.__importStar(t(18));class r extends e.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.children.change,()=>this.rebuild())}get child_models(){return this.model.children.map(([t])=>t)}_update_layout(){this.layout=new n.Grid,this.layout.rows=this.model.rows,this.layout.cols=this.model.cols,this.layout.spacing=this.model.spacing;for(const[t,i,s,o,e]of this.model.children){const n=this._child_views.get(t);this.layout.items.push({layout:n.layout,row:i,col:s,row_span:o,col_span:e})}this.layout.set_sizing(this.box_sizing())}}s.GridBoxView=r,r.__name__=\"GridBoxView\";class a extends e.LayoutDOM{constructor(t){super(t)}static init_GridBox(){this.prototype.default_view=r,this.define({children:[l.Array,[]],rows:[l.Any,\"auto\"],cols:[l.Any,\"auto\"],spacing:[l.Any,0]})}}s.GridBox=a,a.__name__=\"GridBox\",a.init_GridBox()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(245),_=e(188);class n extends s.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new _.ContentBox(this.el),this.layout.set_sizing(this.box_sizing())}}o.HTMLBoxView=n,n.__name__=\"HTMLBoxView\";class i extends s.LayoutDOM{constructor(e){super(e)}}o.HTMLBox=i,i.__name__=\"HTMLBox\"},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),e=t(244),_=t(192),a=s.__importStar(t(18));class n extends e.BoxView{_update_layout(){const t=this.child_views.map(t=>t.layout);this.layout=new _.Row(t),this.layout.cols=this.model.cols,this.layout.spacing=[0,this.model.spacing],this.layout.set_sizing(this.box_sizing())}}i.RowView=n,n.__name__=\"RowView\";class l extends e.Box{constructor(t){super(t)}static init_Row(){this.prototype.default_view=n,this.define({cols:[a.Any,\"auto\"]})}}i.Row=l,l.__name__=\"Row\",l.init_Row()},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const i=e(245),s=e(188);class _ extends i.LayoutDOMView{get child_models(){return[]}_update_layout(){this.layout=new s.LayoutItem,this.layout.set_sizing(this.box_sizing())}}a.SpacerView=_,_.__name__=\"SpacerView\";class o extends i.LayoutDOM{constructor(e){super(e)}static init_Spacer(){this.prototype.default_view=_}}a.Spacer=o,o.__name__=\"Spacer\",o.init_Spacer()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(188),l=e(68),h=e(9),o=i.__importStar(e(18)),c=e(245),d=e(71),r=e(146),n=e(253),_=e(254),b=e(255),p=i.__importDefault(e(256)),u=i.__importDefault(e(257)),m=i.__importDefault(e(258));class v extends c.LayoutDOMView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.tabs.change,()=>this.rebuild()),this.connect(this.model.properties.active.change,()=>this.on_active_change())}styles(){return[...super.styles(),p.default,u.default,m.default]}get child_models(){return this.model.tabs.map(e=>e.child)}_update_layout(){const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,{scroll_el:s,headers_el:i}=this;this.header=new class extends a.ContentBox{_measure(e){const a=l.size(s),o=l.children(i).slice(0,3).map(e=>l.size(e)),{width:c,height:d}=super._measure(e);if(t){const t=a.width+h.sum(o.map(e=>e.width));return{width:e.width!=1/0?e.width:t,height:d}}{const t=a.height+h.sum(o.map(e=>e.height));return{width:c,height:e.height!=1/0?e.height:t}}}}(this.header_el),t?this.header.set_sizing({width_policy:\"fit\",height_policy:\"fixed\"}):this.header.set_sizing({width_policy:\"fixed\",height_policy:\"fit\"});let o=1,c=1;switch(e){case\"above\":o-=1;break;case\"below\":o+=1;break;case\"left\":c-=1;break;case\"right\":c+=1}const d={layout:this.header,row:o,col:c},r=this.child_views.map(e=>({layout:e.layout,row:1,col:1}));this.layout=new a.Grid([d,...r]),this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.header_el.style.position=\"absolute\",l.position(this.header_el,this.header.bbox);const e=this.model.tabs_location,t=\"above\"==e||\"below\"==e,s=l.size(this.scroll_el),i=l.scroll_size(this.headers_el);if(t){const{width:e}=this.header.bbox;i.width>e?(this.wrapper_el.style.maxWidth=e-s.width+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxWidth=\"\",l.undisplay(this.scroll_el))}else{const{height:e}=this.header.bbox;i.height>e?(this.wrapper_el.style.maxHeight=e-s.height+\"px\",l.display(this.scroll_el)):(this.wrapper_el.style.maxHeight=\"\",l.undisplay(this.scroll_el))}const{child_views:a}=this;for(const e of a)l.hide(e.el);const h=a[this.model.active];null!=h&&l.show(h.el)}render(){super.render();const{active:e}=this.model,t=this.model.tabs_location,s=\"above\"==t||\"below\"==t,i=this.model.tabs.map((t,s)=>{const i=l.div({class:[n.bk_tab,s==e?r.bk_active:null]},t.title);if(i.addEventListener(\"click\",e=>{e.target==e.currentTarget&&this.change_active(s)}),t.closable){const e=l.div({class:n.bk_close});e.addEventListener(\"click\",e=>{if(e.target==e.currentTarget){this.model.tabs=h.remove_at(this.model.tabs,s);const e=this.model.tabs.length;this.model.active>e-1&&(this.model.active=e-1)}}),i.appendChild(e)}return i});this.headers_el=l.div({class:[n.bk_headers]},i),this.wrapper_el=l.div({class:n.bk_headers_wrapper},this.headers_el);const a=l.div({class:[_.bk_btn,_.bk_btn_default],disabled:\"\"},l.div({class:[b.bk_caret,r.bk_left]})),o=l.div({class:[_.bk_btn,_.bk_btn_default]},l.div({class:[b.bk_caret,r.bk_right]}));let c=0;const d=e=>()=>{const t=this.model.tabs.length;c=\"left\"==e?Math.max(c-1,0):Math.min(c+1,t-1),0==c?a.setAttribute(\"disabled\",\"\"):a.removeAttribute(\"disabled\"),c==t-1?o.setAttribute(\"disabled\",\"\"):o.removeAttribute(\"disabled\");const i=l.children(this.headers_el).slice(0,c).map(e=>e.getBoundingClientRect());if(s){const e=-h.sum(i.map(e=>e.width));this.headers_el.style.left=e+\"px\"}else{const e=-h.sum(i.map(e=>e.height));this.headers_el.style.top=e+\"px\"}};a.addEventListener(\"click\",d(\"left\")),o.addEventListener(\"click\",d(\"right\")),this.scroll_el=l.div({class:_.bk_btn_group},a,o),this.header_el=l.div({class:[n.bk_tabs_header,r.bk_side(t)]},this.scroll_el,this.wrapper_el),this.el.appendChild(this.header_el)}change_active(e){e!=this.model.active&&(this.model.active=e)}on_active_change(){const e=this.model.active,t=l.children(this.headers_el);for(const e of t)e.classList.remove(r.bk_active);t[e].classList.add(r.bk_active);const{child_views:s}=this;for(const e of s)l.hide(e.el);l.show(s[e].el)}}s.TabsView=v,v.__name__=\"TabsView\";class g extends c.LayoutDOM{constructor(e){super(e)}static init_Tabs(){this.prototype.default_view=v,this.define({tabs:[o.Array,[]],tabs_location:[o.Location,\"above\"],active:[o.Number,0]})}}s.Tabs=g,g.__name__=\"Tabs\",g.init_Tabs();class w extends d.Model{constructor(e){super(e)}static init_Panel(){this.define({title:[o.String,\"\"],child:[o.Instance],closable:[o.Boolean,!1]})}}s.Panel=w,w.__name__=\"Panel\",w.init_Panel()},\n", - " function _(e,b,a){Object.defineProperty(a,\"__esModule\",{value:!0}),a.bk_tabs_header=\"bk-tabs-header\",a.bk_headers_wrapper=\"bk-headers-wrapper\",a.bk_headers=\"bk-headers\",a.bk_tab=\"bk-tab\",a.bk_close=\"bk-close\"},\n", - " function _(n,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_btn=\"bk-btn\",t.bk_btn_group=\"bk-btn-group\",t.bk_btn_default=\"bk-btn-default\",t.bk_btn_primary=\"bk-btn-primary\",t.bk_btn_success=\"bk-btn-success\",t.bk_btn_warning=\"bk-btn-warning\",t.bk_btn_danger=\"bk-btn-danger\",t.bk_btn_type=function(n){switch(n){case\"default\":return t.bk_btn_default;case\"primary\":return t.bk_btn_primary;case\"success\":return t.bk_btn_success;case\"warning\":return t.bk_btn_warning;case\"danger\":return t.bk_btn_danger}},t.bk_dropdown_toggle=\"bk-dropdown-toggle\"},\n", - " function _(e,b,d){Object.defineProperty(d,\"__esModule\",{value:!0}),d.bk_menu=\"bk-menu\",d.bk_caret=\"bk-caret\",d.bk_divider=\"bk-divider\"},\n", - " function _(n,o,b){Object.defineProperty(b,\"__esModule\",{value:!0});b.default=\"\\n.bk-root .bk-btn {\\n height: 100%;\\n display: inline-block;\\n text-align: center;\\n vertical-align: middle;\\n white-space: nowrap;\\n cursor: pointer;\\n padding: 6px 12px;\\n font-size: 12px;\\n border: 1px solid transparent;\\n border-radius: 4px;\\n outline: 0;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-btn:hover,\\n.bk-root .bk-btn:focus {\\n text-decoration: none;\\n}\\n.bk-root .bk-btn:active,\\n.bk-root .bk-btn.bk-active {\\n background-image: none;\\n box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);\\n}\\n.bk-root .bk-btn[disabled] {\\n cursor: not-allowed;\\n pointer-events: none;\\n opacity: 0.65;\\n box-shadow: none;\\n}\\n.bk-root .bk-btn-default {\\n color: #333;\\n background-color: #fff;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-default:hover {\\n background-color: #f5f5f5;\\n border-color: #b8b8b8;\\n}\\n.bk-root .bk-btn-default.bk-active {\\n background-color: #ebebeb;\\n border-color: #adadad;\\n}\\n.bk-root .bk-btn-default[disabled],\\n.bk-root .bk-btn-default[disabled]:hover,\\n.bk-root .bk-btn-default[disabled]:focus,\\n.bk-root .bk-btn-default[disabled]:active,\\n.bk-root .bk-btn-default[disabled].bk-active {\\n background-color: #e6e6e6;\\n border-color: #ccc;\\n}\\n.bk-root .bk-btn-primary {\\n color: #fff;\\n background-color: #428bca;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-primary:hover {\\n background-color: #3681c1;\\n border-color: #2c699e;\\n}\\n.bk-root .bk-btn-primary.bk-active {\\n background-color: #3276b1;\\n border-color: #285e8e;\\n}\\n.bk-root .bk-btn-primary[disabled],\\n.bk-root .bk-btn-primary[disabled]:hover,\\n.bk-root .bk-btn-primary[disabled]:focus,\\n.bk-root .bk-btn-primary[disabled]:active,\\n.bk-root .bk-btn-primary[disabled].bk-active {\\n background-color: #506f89;\\n border-color: #357ebd;\\n}\\n.bk-root .bk-btn-success {\\n color: #fff;\\n background-color: #5cb85c;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-success:hover {\\n background-color: #4eb24e;\\n border-color: #409240;\\n}\\n.bk-root .bk-btn-success.bk-active {\\n background-color: #47a447;\\n border-color: #398439;\\n}\\n.bk-root .bk-btn-success[disabled],\\n.bk-root .bk-btn-success[disabled]:hover,\\n.bk-root .bk-btn-success[disabled]:focus,\\n.bk-root .bk-btn-success[disabled]:active,\\n.bk-root .bk-btn-success[disabled].bk-active {\\n background-color: #667b66;\\n border-color: #4cae4c;\\n}\\n.bk-root .bk-btn-warning {\\n color: #fff;\\n background-color: #f0ad4e;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-warning:hover {\\n background-color: #eea43b;\\n border-color: #e89014;\\n}\\n.bk-root .bk-btn-warning.bk-active {\\n background-color: #ed9c28;\\n border-color: #d58512;\\n}\\n.bk-root .bk-btn-warning[disabled],\\n.bk-root .bk-btn-warning[disabled]:hover,\\n.bk-root .bk-btn-warning[disabled]:focus,\\n.bk-root .bk-btn-warning[disabled]:active,\\n.bk-root .bk-btn-warning[disabled].bk-active {\\n background-color: #c89143;\\n border-color: #eea236;\\n}\\n.bk-root .bk-btn-danger {\\n color: #fff;\\n background-color: #d9534f;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-danger:hover {\\n background-color: #d5433e;\\n border-color: #bd2d29;\\n}\\n.bk-root .bk-btn-danger.bk-active {\\n background-color: #d2322d;\\n border-color: #ac2925;\\n}\\n.bk-root .bk-btn-danger[disabled],\\n.bk-root .bk-btn-danger[disabled]:hover,\\n.bk-root .bk-btn-danger[disabled]:focus,\\n.bk-root .bk-btn-danger[disabled]:active,\\n.bk-root .bk-btn-danger[disabled].bk-active {\\n background-color: #a55350;\\n border-color: #d43f3a;\\n}\\n.bk-root .bk-btn-group {\\n height: 100%;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-btn-group > .bk-btn {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n}\\n.bk-root .bk-btn-group > .bk-btn + .bk-btn {\\n margin-left: -1px;\\n}\\n.bk-root .bk-btn-group > .bk-btn:first-child:not(:last-child) {\\n border-bottom-right-radius: 0;\\n border-top-right-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):last-child {\\n border-bottom-left-radius: 0;\\n border-top-left-radius: 0;\\n}\\n.bk-root .bk-btn-group > .bk-btn:not(:first-child):not(:last-child) {\\n border-radius: 0;\\n}\\n.bk-root .bk-btn-group .bk-dropdown-toggle {\\n flex: 0 0 0;\\n -webkit-flex: 0 0 0;\\n padding: 6px 6px;\\n}\\n\"},\n", - " function _(n,o,r){Object.defineProperty(r,\"__esModule\",{value:!0});r.default=\"\\n.bk-root .bk-menu-icon {\\n width: 28px;\\n height: 28px;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-context-menu {\\n position: absolute;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n width: auto;\\n height: auto;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-context-menu.bk-horizontal {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-context-menu.bk-vertical {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-context-menu > .bk-divider {\\n cursor: default;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > .bk-divider {\\n width: 1px;\\n margin: 5px 0;\\n}\\n.bk-root .bk-context-menu.bk-vertical > .bk-divider {\\n height: 1px;\\n margin: 0 5px;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider) {\\n border: 1px solid transparent;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider).bk-active {\\n border-color: #26aae1;\\n}\\n.bk-root .bk-context-menu > :not(.bk-divider):hover {\\n background-color: #f9f9f9;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-bottom-left-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-horizontal > :not(.bk-divider):last-child {\\n border-top-right-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):first-child {\\n border-top-left-radius: 4px;\\n border-top-right-radius: 4px;\\n}\\n.bk-root .bk-context-menu.bk-vertical > :not(.bk-divider):last-child {\\n border-bottom-left-radius: 4px;\\n border-bottom-right-radius: 4px;\\n}\\n.bk-root .bk-menu {\\n position: absolute;\\n left: 0;\\n width: 100%;\\n z-index: 100;\\n cursor: pointer;\\n font-size: 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);\\n}\\n.bk-root .bk-menu.bk-above {\\n bottom: 100%;\\n}\\n.bk-root .bk-menu.bk-below {\\n top: 100%;\\n}\\n.bk-root .bk-menu > .bk-divider {\\n height: 1px;\\n margin: 7.5px 0;\\n overflow: hidden;\\n background-color: #e5e5e5;\\n}\\n.bk-root .bk-menu > :not(.bk-divider) {\\n padding: 6px 12px;\\n}\\n.bk-root .bk-menu > :not(.bk-divider):hover,\\n.bk-root .bk-menu > :not(.bk-divider).bk-active {\\n background-color: #e6e6e6;\\n}\\n.bk-root .bk-caret {\\n display: inline-block;\\n vertical-align: middle;\\n width: 0;\\n height: 0;\\n margin: 0 5px;\\n}\\n.bk-root .bk-caret.bk-down {\\n border-top: 4px solid;\\n}\\n.bk-root .bk-caret.bk-up {\\n border-bottom: 4px solid;\\n}\\n.bk-root .bk-caret.bk-down,\\n.bk-root .bk-caret.bk-up {\\n border-right: 4px solid transparent;\\n border-left: 4px solid transparent;\\n}\\n.bk-root .bk-caret.bk-left {\\n border-right: 4px solid;\\n}\\n.bk-root .bk-caret.bk-right {\\n border-left: 4px solid;\\n}\\n.bk-root .bk-caret.bk-left,\\n.bk-root .bk-caret.bk-right {\\n border-top: 4px solid transparent;\\n border-bottom: 4px solid transparent;\\n}\\n\"},\n", - " function _(e,r,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default='\\n.bk-root .bk-tabs-header {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n overflow: hidden;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group {\\n height: auto;\\n margin-right: 5px;\\n}\\n.bk-root .bk-tabs-header .bk-btn-group > .bk-btn {\\n flex-grow: 0;\\n -webkit-flex-grow: 0;\\n height: auto;\\n padding: 4px 4px;\\n}\\n.bk-root .bk-tabs-header .bk-headers-wrapper {\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n overflow: hidden;\\n color: #666666;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers-wrapper {\\n border-bottom: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-headers-wrapper {\\n border-left: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-headers-wrapper {\\n border-top: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers-wrapper {\\n border-right: 1px solid #e6e6e6;\\n}\\n.bk-root .bk-tabs-header.bk-above,\\n.bk-root .bk-tabs-header.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-headers,\\n.bk-root .bk-tabs-header.bk-below .bk-headers {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-tabs-header.bk-left,\\n.bk-root .bk-tabs-header.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-headers,\\n.bk-root .bk-tabs-header.bk-right .bk-headers {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-tabs-header .bk-headers {\\n position: relative;\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n}\\n.bk-root .bk-tabs-header .bk-tab {\\n padding: 4px 8px;\\n border: solid transparent;\\n white-space: nowrap;\\n cursor: pointer;\\n}\\n.bk-root .bk-tabs-header .bk-tab:hover {\\n background-color: #f2f2f2;\\n}\\n.bk-root .bk-tabs-header .bk-tab.bk-active {\\n color: #4d4d4d;\\n background-color: white;\\n border-color: #e6e6e6;\\n}\\n.bk-root .bk-tabs-header .bk-tab .bk-close {\\n margin-left: 10px;\\n}\\n.bk-root .bk-tabs-header.bk-above .bk-tab {\\n border-width: 3px 1px 0px 1px;\\n border-radius: 4px 4px 0 0;\\n}\\n.bk-root .bk-tabs-header.bk-right .bk-tab {\\n border-width: 1px 3px 1px 0px;\\n border-radius: 0 4px 4px 0;\\n}\\n.bk-root .bk-tabs-header.bk-below .bk-tab {\\n border-width: 0px 1px 3px 1px;\\n border-radius: 0 0 4px 4px;\\n}\\n.bk-root .bk-tabs-header.bk-left .bk-tab {\\n border-width: 1px 0px 1px 3px;\\n border-radius: 4px 0 0 4px;\\n}\\n.bk-root .bk-close {\\n display: inline-block;\\n width: 10px;\\n height: 10px;\\n vertical-align: middle;\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n.bk-root .bk-close:hover {\\n background-image: url(\\'data:image/svg+xml;utf8, \\');\\n}\\n'},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const o=e(247);class _ extends o.ColumnView{}i.WidgetBoxView=_,_.__name__=\"WidgetBoxView\";class n extends o.Column{constructor(e){super(e)}static init_WidgetBox(){this.prototype.default_view=_}}i.WidgetBox=n,n.__name__=\"WidgetBox\",n.init_WidgetBox()},\n", - " function _(r,a,o){Object.defineProperty(o,\"__esModule\",{value:!0});var e=r(261);o.CategoricalColorMapper=e.CategoricalColorMapper;var p=r(263);o.CategoricalMarkerMapper=p.CategoricalMarkerMapper;var l=r(264);o.CategoricalPatternMapper=l.CategoricalPatternMapper;var C=r(116);o.ContinuousColorMapper=C.ContinuousColorMapper;var M=r(117);o.ColorMapper=M.ColorMapper;var t=r(115);o.LinearColorMapper=t.LinearColorMapper;var i=r(265);o.LogColorMapper=i.LogColorMapper},\n", - " function _(r,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=r(1),a=r(262),c=r(117),i=o.__importStar(r(18));class s extends c.ColorMapper{constructor(r){super(r)}static init_CategoricalColorMapper(){this.define({factors:[i.Array],start:[i.Number,0],end:[i.Number]})}_v_compute(r,t,e,{nan_color:o}){a.cat_v_compute(r,this.factors,e,t,this.start,this.end,o)}}e.CategoricalColorMapper=s,s.__name__=\"CategoricalColorMapper\",s.init_CategoricalColorMapper()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const l=e(12),i=e(8);function u(e,n){if(e.length!=n.length)return!1;for(let t=0,l=e.length;tu(e,d))),s=g<0||g>=t.length?r:t[g],c[_]=s}}},\n", - " function _(r,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const t=r(1),s=r(262),i=r(118),c=t.__importStar(r(18));class n extends i.Mapper{constructor(r){super(r)}static init_CategoricalMarkerMapper(){this.define({factors:[c.Array],markers:[c.Array],start:[c.Number,0],end:[c.Number],default_value:[c.MarkerType,\"circle\"]})}v_compute(r){const e=new Array(r.length);return s.cat_v_compute(r,this.factors,this.markers,e,this.start,this.end,this.default_value),e}}a.CategoricalMarkerMapper=n,n.__name__=\"CategoricalMarkerMapper\",n.init_CategoricalMarkerMapper()},\n", - " function _(t,e,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=t(1),n=t(262),s=t(118),i=r.__importStar(t(18));class c extends s.Mapper{constructor(t){super(t)}static init_CategoricalPatternMapper(){this.define({factors:[i.Array],patterns:[i.Array],start:[i.Number,0],end:[i.Number],default_value:[i.HatchPatternType,\" \"]})}v_compute(t){const e=new Array(t.length);return n.cat_v_compute(t,this.factors,this.patterns,e,this.start,this.end,this.default_value),e}}a.CategoricalPatternMapper=c,c.__name__=\"CategoricalPatternMapper\",c.init_CategoricalPatternMapper()},\n", - " function _(o,l,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=o(116),e=o(12);class i extends t.ContinuousColorMapper{constructor(o){super(o)}_v_compute(o,l,n,t){const{nan_color:i,low_color:h,high_color:c}=t,r=n.length,s=null!=this.low?this.low:e.min(o),u=null!=this.high?this.high:e.max(o),a=r/(Math.log(u)-Math.log(s)),g=n.length-1;for(let t=0,e=o.length;tu){l[t]=null!=c?c:n[g];continue}if(e==u){l[t]=n[g];continue}if(eg&&(_=g),l[t]=n[_]}}}n.LogColorMapper=i,i.__name__=\"LogColorMapper\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0}),e(1).__exportStar(e(267),t);var a=e(268);t.Marker=a.Marker;var _=e(269);t.Scatter=_.Scatter},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=e(268),r=Math.sqrt(3);function n(e,t){e.rotate(Math.PI/4),c(e,t),e.rotate(-Math.PI/4)}function s(e,t){const o=t*r,i=o/3;e.moveTo(-o/2,-i),e.lineTo(0,0),e.lineTo(o/2,-i),e.lineTo(0,0),e.lineTo(0,t)}function c(e,t){e.moveTo(0,t),e.lineTo(0,-t),e.moveTo(-t,0),e.lineTo(t,0)}function l(e,t){e.moveTo(0,t),e.lineTo(t/1.5,0),e.lineTo(0,-t),e.lineTo(-t/1.5,0),e.closePath()}function a(e,t){const o=t*r,i=o/3;e.moveTo(-t,i),e.lineTo(t,i),e.lineTo(0,i-o),e.closePath()}function u(e,t,o,i,r){c(e,o),n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function d(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function v(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function _(e,t,o,i,r){d(e,t,o,i,r),m(e,t,o,i,r)}function f(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),s(e,o),e.stroke())}function T(e,t,o,i,r){e.arc(0,0,o,0,2*Math.PI,!1),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),n(e,o),e.stroke())}function z(e,t,o,i,r){c(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function k(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function C(e,t,o,i,r){l(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(0,o),e.lineTo(0,-o),e.moveTo(-o/1.5,0),e.lineTo(o/1.5,0),e.stroke())}function h(e,t,o,i,r){k(e,t,o,i,r),m(e,t,o,i,r)}function m(e,t,o,i,r){!function(e,t){e.beginPath(),e.arc(0,0,t/4,0,2*Math.PI,!1),e.closePath()}(e,o),i.set_vectorize(e,t),e.fillStyle=e.strokeStyle,e.fill()}function P(e,t,o,i,n){!function(e,t){const o=t/2,i=r*o;e.moveTo(t,0),e.lineTo(o,-i),e.lineTo(-o,-i),e.lineTo(-t,0),e.lineTo(-o,i),e.lineTo(o,i),e.closePath()}(e,o),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function q(e,t,o,i,r){P(e,t,o,i,r),m(e,t,o,i)}function D(e,t,o,i,r){e.rotate(Math.PI),a(e,o),e.rotate(-Math.PI),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function g(e,t,o,i,r){const n=3*o/8,s=[n,n,o,o,n,n,-n,-n,-o,-o,-n,-n],c=[o,n,n,-n,-n,-o,-o,-n,-n,n,n,o];for(e.moveTo(s[0],c[0]),t=1;t<12;t++)e.lineTo(s[t],c[t]);e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function M(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function S(e,t,o,i,r){const n=3*o/8;e.moveTo(-o,-o),e.quadraticCurveTo(0,-n,o,-o),e.quadraticCurveTo(n,0,o,o),e.quadraticCurveTo(0,n,-o,o),e.quadraticCurveTo(-n,0,-o,-o),e.closePath(),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function x(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),c(e,o),e.stroke())}function I(e,t,o,i,r){M(e,t,o,i,r),m(e,t,o,i)}function p(e,t,o,i,r){const n=2*o;e.rect(-o,-o,n,n),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.moveTo(-o,o),e.lineTo(o,-o),e.moveTo(-o,-o),e.lineTo(o,o),e.stroke())}function y(e,t,o,i,r){a(e,o),r.doit&&(r.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function X(e,t,o,i,r){y(e,t,o,i,r),m(e,t,o,i)}function H(e,t,o,i,n){const s=o*r,c=s/3,l=3*c/8;e.moveTo(-o,c),e.quadraticCurveTo(0,l,o,c),e.quadraticCurveTo(r*l/2,l/2,0,c-s),e.quadraticCurveTo(-r*l/2,l/2,-o,c),e.closePath(),n.doit&&(n.set_vectorize(e,t),e.fill()),i.doit&&(i.set_vectorize(e,t),e.stroke())}function Y(e,t,o,i,r){!function(e,t){e.moveTo(-t,0),e.lineTo(t,0)}(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function b(e,t,o,i,r){n(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function w(e,t,o,i,r){s(e,o),i.doit&&(i.set_vectorize(e,t),e.stroke())}function A(e,t){var o;const r=class extends i.MarkerView{static initClass(){this.prototype._render_one=t}};r.initClass();const n=((o=class extends i.Marker{static initClass(){this.prototype.default_view=r}}).__name__=e,o);return n.initClass(),n}o.Asterisk=A(\"Asterisk\",u),o.CircleCross=A(\"CircleCross\",v),o.CircleDot=A(\"CircleDot\",_),o.CircleY=A(\"CircleY\",f),o.CircleX=A(\"CircleX\",T),o.Cross=A(\"Cross\",z),o.Dash=A(\"Dash\",Y),o.Diamond=A(\"Diamond\",k),o.DiamondCross=A(\"DiamondCross\",C),o.DiamondDot=A(\"DiamondDot\",h),o.Dot=A(\"Dot\",m),o.Hex=A(\"Hex\",P),o.HexDot=A(\"HexDot\",q),o.InvertedTriangle=A(\"InvertedTriangle\",D),o.Plus=A(\"Plus\",g),o.Square=A(\"Square\",M),o.SquareCross=A(\"SquareCross\",x),o.SquareDot=A(\"SquareDot\",I),o.SquarePin=A(\"SquarePin\",S),o.SquareX=A(\"SquareX\",p),o.Triangle=A(\"Triangle\",y),o.TriangleDot=A(\"TriangleDot\",X),o.TrianglePin=A(\"TrianglePin\",H),o.X=A(\"X\",b),o.Y=A(\"Y\",w),o.marker_funcs={asterisk:u,circle:d,circle_cross:v,circle_dot:_,circle_y:f,circle_x:T,cross:z,diamond:k,diamond_dot:h,diamond_cross:C,dot:m,hex:P,hex_dot:q,inverted_triangle:D,plus:g,square:M,square_cross:x,square_dot:I,square_pin:S,square_x:p,triangle:y,triangle_dot:X,triangle_pin:H,dash:Y,x:b,y:w}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(1),r=e(84),n=e(23),a=i.__importStar(e(93)),_=i.__importStar(e(18)),h=e(9),c=e(79);class o extends r.XYGlyphView{_render(e,s,{sx:t,sy:i,_size:r,_angle:n}){for(const a of s){if(isNaN(t[a]+i[a]+r[a]+n[a]))continue;const s=r[a]/2;e.beginPath(),e.translate(t[a],i[a]),n[a]&&e.rotate(n[a]),this._render_one(e,a,s,this.visuals.line,this.visuals.fill),n[a]&&e.rotate(-n[a]),e.translate(-t[a],-i[a])}}_mask_data(){const e=this.renderer.plot_view.frame.bbox.h_range,s=e.start-this.max_size,t=e.end+this.max_size,[i,r]=this.renderer.xscale.r_invert(s,t),n=this.renderer.plot_view.frame.bbox.v_range,a=n.start-this.max_size,_=n.end+this.max_size,[h,c]=this.renderer.yscale.r_invert(a,_);return this.index.indices({x0:i,x1:r,y0:h,y1:c})}_hit_point(e){const{sx:s,sy:t}=e,i=s-this.max_size,r=s+this.max_size,[n,a]=this.renderer.xscale.r_invert(i,r),_=t-this.max_size,h=t+this.max_size,[o,x]=this.renderer.yscale.r_invert(_,h),l=this.index.indices({x0:n,x1:a,y0:o,y1:x}),d=[];for(const e of l){const i=this._size[e]/2,r=Math.abs(this.sx[e]-s)+Math.abs(this.sy[e]-t);Math.abs(this.sx[e]-s)<=i&&Math.abs(this.sy[e]-t)<=i&&d.push([e,r])}return c.Selection.from_hits(d)}_hit_span(e){const{sx:s,sy:t}=e,i=this.bounds(),r=this.max_size/2;let n,a,_,h;if(\"h\"==e.direction){_=i.y0,h=i.y1;const e=s-r,t=s+r;[n,a]=this.renderer.xscale.r_invert(e,t)}else{n=i.x0,a=i.x1;const e=t-r,s=t+r;[_,h]=this.renderer.yscale.r_invert(e,s)}const o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_rect(e){const{sx0:s,sx1:t,sy0:i,sy1:r}=e,[n,a]=this.renderer.xscale.r_invert(s,t),[_,h]=this.renderer.yscale.r_invert(i,r),o=this.index.indices({x0:n,x1:a,y0:_,y1:h});return new c.Selection({indices:o})}_hit_poly(e){const{sx:s,sy:t}=e,i=h.range(0,this.sx.length),r=[];for(let e=0,n=i.length;enew r.Range1d,y_range:()=>new r.Range1d})}initialize(){super.initialize(),this.use_map=!0,this.api_key||n.logger.error(\"api_key is required. See https://developers.google.com/maps/documentation/javascript/get-api-key for more information on how to obtain your own.\")}}i.GMapPlot=u,u.__name__=\"GMapPlot\",u.init_GMapPlot()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),o=i.__importStar(e(23)),n=i.__importStar(e(18)),s=e(14),a=e(9),l=e(17),_=e(8),h=e(245),c=e(142),u=e(120),d=e(273),b=e(76),g=e(81),p=e(186),m=e(290);r.PlotView=m.PlotView;class f extends h.LayoutDOM{constructor(e){super(e)}static init_Plot(){this.prototype.default_view=m.PlotView,this.mixins([[\"outline_\",o.Line],[\"background_\",o.Fill],[\"border_\",o.Fill]]),this.define({toolbar:[n.Instance,()=>new d.Toolbar],toolbar_location:[n.Location,\"right\"],toolbar_sticky:[n.Boolean,!0],plot_width:[n.Number,600],plot_height:[n.Number,600],frame_width:[n.Number,null],frame_height:[n.Number,null],title:[n.Any,()=>new c.Title({text:\"\"})],title_location:[n.Location,\"above\"],above:[n.Array,[]],below:[n.Array,[]],left:[n.Array,[]],right:[n.Array,[]],center:[n.Array,[]],renderers:[n.Array,[]],x_range:[n.Instance,()=>new p.DataRange1d],extra_x_ranges:[n.Any,{}],y_range:[n.Instance,()=>new p.DataRange1d],extra_y_ranges:[n.Any,{}],x_scale:[n.Instance,()=>new u.LinearScale],y_scale:[n.Instance,()=>new u.LinearScale],lod_factor:[n.Number,10],lod_interval:[n.Number,300],lod_threshold:[n.Number,2e3],lod_timeout:[n.Number,500],hidpi:[n.Boolean,!0],output_backend:[n.OutputBackend,\"canvas\"],min_border:[n.Number,5],min_border_top:[n.Number,null],min_border_left:[n.Number,null],min_border_bottom:[n.Number,null],min_border_right:[n.Number,null],inner_width:[n.Number],inner_height:[n.Number],outer_width:[n.Number],outer_height:[n.Number],match_aspect:[n.Boolean,!1],aspect_scale:[n.Number,1],reset_policy:[n.ResetPolicy,\"standard\"]}),this.override({outline_line_color:\"#e5e5e5\",border_fill_color:\"#ffffff\",background_fill_color:\"#ffffff\"})}get width(){const e=this.properties.width.get_value();return null!=e?e:this.plot_width}set width(e){this.setv({width:e,plot_width:e})}get height(){const e=this.properties.height.get_value();return null!=e?e:this.plot_height}set height(e){this.setv({height:e,plot_height:e})}_doc_attached(){super._doc_attached(),this._push_changes([[this.properties.inner_height,null,this.inner_height],[this.properties.inner_width,null,this.inner_width]])}initialize(){super.initialize(),this.reset=new s.Signal0(this,\"reset\");for(const e of l.values(this.extra_x_ranges).concat(this.x_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}for(const e of l.values(this.extra_y_ranges).concat(this.y_range)){let t=e.plots;_.isArray(t)&&(t=t.concat(this),e.setv({plots:t},{silent:!0}))}}add_layout(e,t=\"center\"){const r=this.properties[t].get_value();this.setv({[t]:[...r,e]})}remove_layout(e){const t=t=>{a.remove_by(t,t=>t==e)};t(this.left),t(this.right),t(this.above),t(this.below),t(this.center)}add_renderers(...e){this.renderers=this.renderers.concat(e)}add_glyph(e,t=new b.ColumnDataSource,r={}){const i=Object.assign(Object.assign({},r),{data_source:t,glyph:e}),o=new g.GlyphRenderer(i);return this.add_renderers(o),o}add_tools(...e){this.toolbar.tools=this.toolbar.tools.concat(e)}get panels(){return[...this.side_panels,...this.center]}get side_panels(){const{above:e,below:t,left:r,right:i}=this;return a.concat([e,t,r,i])}}r.Plot=f,f.__name__=\"Plot\",f.init_Plot()},\n", - " function _(t,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),c=t(8),o=t(9),n=t(274),a=t(283),l=t=>{switch(t){case\"tap\":return\"active_tap\";case\"pan\":return\"active_drag\";case\"pinch\":case\"scroll\":return\"active_scroll\";case\"multi\":return\"active_multi\"}return null},r=t=>\"tap\"==t||\"pan\"==t;class _ extends a.ToolbarBase{constructor(t){super(t)}static init_Toolbar(){this.prototype.default_view=a.ToolbarBaseView,this.define({active_drag:[i.Any,\"auto\"],active_inspect:[i.Any,\"auto\"],active_scroll:[i.Any,\"auto\"],active_tap:[i.Any,\"auto\"],active_multi:[i.Any,null]})}connect_signals(){super.connect_signals();const{tools:t,active_drag:s,active_inspect:e,active_scroll:i,active_tap:c,active_multi:o}=this.properties;this.on_change([t,s,e,i,c,o],()=>this._init_tools())}_init_tools(){if(super._init_tools(),\"auto\"==this.active_inspect);else if(this.active_inspect instanceof n.InspectTool){let t=!1;for(const s of this.inspectors)s!=this.active_inspect?s.active=!1:t=!0;t||(this.active_inspect=null)}else if(c.isArray(this.active_inspect)){const t=o.intersection(this.active_inspect,this.inspectors);t.length!=this.active_inspect.length&&(this.active_inspect=t);for(const t of this.inspectors)o.includes(this.active_inspect,t)||(t.active=!1)}else if(null==this.active_inspect)for(const t of this.inspectors)t.active=!1;const t=t=>{t.active?this._active_change(t):t.active=!0};for(const t in this.gestures){const s=this.gestures[t];s.tools=o.sort_by(s.tools,t=>t.default_order);for(const t of s.tools)this.connect(t.properties.active.change,()=>this._active_change(t))}for(const s in this.gestures){const e=l(s);if(e){const i=this[e];if(\"auto\"==i){const e=this.gestures[s];0!=e.tools.length&&r(s)&&t(e.tools[0])}else null!=i&&(o.includes(this.tools,i)?t(i):this[e]=null)}}}}e.Toolbar=_,_.__name__=\"Toolbar\",_.init_Toolbar()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const n=e(1),s=e(275),i=e(282),_=n.__importStar(e(18));class c extends s.ButtonToolView{}o.InspectToolView=c,c.__name__=\"InspectToolView\";class l extends s.ButtonTool{constructor(e){super(e),this.event_type=\"move\"}static init_InspectTool(){this.prototype.button_view=i.OnOffButtonView,this.define({toggleable:[_.Boolean,!0]}),this.override({active:!0})}}o.InspectTool=l,l.__name__=\"InspectTool\",l.init_InspectTool()},\n", - " function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),s=i.__importDefault(t(276)),n=t(66),l=t(277),r=t(68),a=i.__importStar(t(18)),u=t(24),_=t(8),h=t(9),c=t(278),m=i.__importDefault(t(279)),d=i.__importDefault(t(280)),p=i.__importDefault(t(257)),f=t(281);class g extends n.DOMView{initialize(){super.initialize();const t=this.model.menu;if(null!=t){const e=this.parent.model.toolbar_location,o=\"left\"==e||\"above\"==e,i=this.parent.model.horizontal?\"vertical\":\"horizontal\";this._menu=new f.ContextMenu(o?h.reversed(t):t,{orientation:i,prevent_hide:t=>t.target==this.el})}this._hammer=new s.default(this.el,{touchAction:\"auto\",inputClass:s.default.TouchMouseInput}),this.connect(this.model.change,()=>this.render()),this._hammer.on(\"tap\",t=>{var e;(null===(e=this._menu)||void 0===e?void 0:e.is_open)?this._menu.hide():t.target==this.el&&this._clicked()}),this._hammer.on(\"press\",()=>this._pressed())}remove(){var t;this._hammer.destroy(),null===(t=this._menu)||void 0===t||t.remove(),super.remove()}styles(){return[...super.styles(),m.default,d.default,p.default]}css_classes(){return super.css_classes().concat(c.bk_toolbar_button)}render(){r.empty(this.el);const t=this.model.computed_icon;_.isString(t)&&(u.startsWith(t,\"data:image\")?this.el.style.backgroundImage=\"url('\"+t+\"')\":this.el.classList.add(t)),this.el.title=this.model.tooltip,null!=this._menu&&this.root.el.appendChild(this._menu.el)}_pressed(){var t;const{left:e,top:o,right:i,bottom:s}=this.el.getBoundingClientRect(),n=(()=>{switch(this.parent.model.toolbar_location){case\"right\":return{right:e,top:o};case\"left\":return{left:i,top:o};case\"above\":return{left:e,top:s};case\"below\":return{left:e,bottom:o}}})();null===(t=this._menu)||void 0===t||t.toggle(n)}}o.ButtonToolButtonView=g,g.__name__=\"ButtonToolButtonView\";class v extends l.ToolView{}o.ButtonToolView=v,v.__name__=\"ButtonToolView\";class b extends l.Tool{constructor(t){super(t)}static init_ButtonTool(){this.internal({disabled:[a.Boolean,!1]})}get tooltip(){return this.tool_name}get computed_icon(){return this.icon}get menu(){return null}}o.ButtonTool=b,b.__name__=\"ButtonTool\",b.init_ButtonTool()},\n", - " function _(t,e,n){\n", - " /*! Hammer.JS - v2.0.7 - 2016-04-22\n", - " * http://hammerjs.github.io/\n", - " *\n", - " * Copyright (c) 2016 Jorik Tangelder;\n", - " * Licensed under the MIT license */\n", - " !function(t,n,i,r){\"use strict\";var s,o=[\"\",\"webkit\",\"Moz\",\"MS\",\"ms\",\"o\"],a=n.createElement(\"div\"),h=Math.round,u=Math.abs,c=Date.now;function l(t,e,n){return setTimeout(y(t,n),e)}function p(t,e,n){return!!Array.isArray(t)&&(f(t,n[e],n),!0)}function f(t,e,n){var i;if(t)if(t.forEach)t.forEach(e,n);else if(void 0!==t.length)for(i=0;i\\s*\\(/gm,\"{anonymous}()@\"):\"Unknown Stack Trace\",s=t.console&&(t.console.warn||t.console.log);return s&&s.call(t.console,r,i),e.apply(this,arguments)}}s=\"function\"!=typeof Object.assign?function(t){if(null==t)throw new TypeError(\"Cannot convert undefined or null to object\");for(var e=Object(t),n=1;n-1}function S(t){return t.trim().split(/\\s+/g)}function b(t,e,n){if(t.indexOf&&!n)return t.indexOf(e);for(var i=0;in[e]})):i.sort()),i}function D(t,e){for(var n,i,r=e[0].toUpperCase()+e.slice(1),s=0;s1&&!n.firstMultiple?n.firstMultiple=W(e):1===r&&(n.firstMultiple=!1);var s=n.firstInput,o=n.firstMultiple,a=o?o.center:s.center,h=e.center=q(i);e.timeStamp=c(),e.deltaTime=e.timeStamp-s.timeStamp,e.angle=U(a,h),e.distance=L(a,h),function(t,e){var n=e.center,i=t.offsetDelta||{},r=t.prevDelta||{},s=t.prevInput||{};1!==e.eventType&&4!==s.eventType||(r=t.prevDelta={x:s.deltaX||0,y:s.deltaY||0},i=t.offsetDelta={x:n.x,y:n.y});e.deltaX=r.x+(n.x-i.x),e.deltaY=r.y+(n.y-i.y)}(n,e),e.offsetDirection=H(e.deltaX,e.deltaY);var l=k(e.deltaTime,e.deltaX,e.deltaY);e.overallVelocityX=l.x,e.overallVelocityY=l.y,e.overallVelocity=u(l.x)>u(l.y)?l.x:l.y,e.scale=o?(p=o.pointers,f=i,L(f[0],f[1],X)/L(p[0],p[1],X)):1,e.rotation=o?function(t,e){return U(e[1],e[0],X)+U(t[1],t[0],X)}(o.pointers,i):0,e.maxPointers=n.prevInput?e.pointers.length>n.prevInput.maxPointers?e.pointers.length:n.prevInput.maxPointers:e.pointers.length,function(t,e){var n,i,r,s,o=t.lastInterval||e,a=e.timeStamp-o.timeStamp;if(8!=e.eventType&&(a>25||void 0===o.velocity)){var h=e.deltaX-o.deltaX,c=e.deltaY-o.deltaY,l=k(a,h,c);i=l.x,r=l.y,n=u(l.x)>u(l.y)?l.x:l.y,s=H(h,c),t.lastInterval=e}else n=o.velocity,i=o.velocityX,r=o.velocityY,s=o.direction;e.velocity=n,e.velocityX=i,e.velocityY=r,e.direction=s}(n,e);var p,f;var v=t.element;_(e.srcEvent.target,v)&&(v=e.srcEvent.target);e.target=v}(t,n),t.emit(\"hammer.input\",n),t.recognize(n),t.session.prevInput=n}function W(t){for(var e=[],n=0;n=u(e)?t<0?2:4:e<0?8:16}function L(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return Math.sqrt(i*i+r*r)}function U(t,e,n){n||(n=N);var i=e[n[0]]-t[n[0]],r=e[n[1]]-t[n[1]];return 180*Math.atan2(r,i)/Math.PI}Y.prototype={handler:function(){},init:function(){this.evEl&&I(this.element,this.evEl,this.domHandler),this.evTarget&&I(this.target,this.evTarget,this.domHandler),this.evWin&&I(O(this.element),this.evWin,this.domHandler)},destroy:function(){this.evEl&&A(this.element,this.evEl,this.domHandler),this.evTarget&&A(this.target,this.evTarget,this.domHandler),this.evWin&&A(O(this.element),this.evWin,this.domHandler)}};var V={mousedown:1,mousemove:2,mouseup:4};function j(){this.evEl=\"mousedown\",this.evWin=\"mousemove mouseup\",this.pressed=!1,Y.apply(this,arguments)}g(j,Y,{handler:function(t){var e=V[t.type];1&e&&0===t.button&&(this.pressed=!0),2&e&&1!==t.which&&(e=4),this.pressed&&(4&e&&(this.pressed=!1),this.callback(this.manager,e,{pointers:[t],changedPointers:[t],pointerType:\"mouse\",srcEvent:t}))}});var G={pointerdown:1,pointermove:2,pointerup:4,pointercancel:8,pointerout:8},Z={2:\"touch\",3:\"pen\",4:\"mouse\",5:\"kinect\"},B=\"pointerdown\",$=\"pointermove pointerup pointercancel\";function J(){this.evEl=B,this.evWin=$,Y.apply(this,arguments),this.store=this.manager.session.pointerEvents=[]}t.MSPointerEvent&&!t.PointerEvent&&(B=\"MSPointerDown\",$=\"MSPointerMove MSPointerUp MSPointerCancel\"),g(J,Y,{handler:function(t){var e=this.store,n=!1,i=t.type.toLowerCase().replace(\"ms\",\"\"),r=G[i],s=Z[t.pointerType]||t.pointerType,o=\"touch\"==s,a=b(e,t.pointerId,\"pointerId\");1&r&&(0===t.button||o)?a<0&&(e.push(t),a=e.length-1):12&r&&(n=!0),a<0||(e[a]=t,this.callback(this.manager,r,{pointers:e,changedPointers:[t],pointerType:s,srcEvent:t}),n&&e.splice(a,1))}});var K={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function Q(){this.evTarget=\"touchstart\",this.evWin=\"touchstart touchmove touchend touchcancel\",this.started=!1,Y.apply(this,arguments)}function tt(t,e){var n=x(t.touches),i=x(t.changedTouches);return 12&e&&(n=P(n.concat(i),\"identifier\",!0)),[n,i]}g(Q,Y,{handler:function(t){var e=K[t.type];if(1===e&&(this.started=!0),this.started){var n=tt.call(this,t,e);12&e&&n[0].length-n[1].length==0&&(this.started=!1),this.callback(this.manager,e,{pointers:n[0],changedPointers:n[1],pointerType:\"touch\",srcEvent:t})}}});var et={touchstart:1,touchmove:2,touchend:4,touchcancel:8};function nt(){this.evTarget=\"touchstart touchmove touchend touchcancel\",this.targetIds={},Y.apply(this,arguments)}function it(t,e){var n=x(t.touches),i=this.targetIds;if(3&e&&1===n.length)return i[n[0].identifier]=!0,[n,n];var r,s,o=x(t.changedTouches),a=[],h=this.target;if(s=n.filter((function(t){return _(t.target,h)})),1===e)for(r=0;r-1&&i.splice(t,1)}),2500)}}function at(t){for(var e=t.srcEvent.clientX,n=t.srcEvent.clientY,i=0;i-1&&this.requireFail.splice(e,1),this},hasRequireFailures:function(){return this.requireFail.length>0},canRecognizeWith:function(t){return!!this.simultaneous[t.id]},emit:function(t){var e=this,n=this.state;function i(n){e.manager.emit(n,t)}n<8&&i(e.options.event+ft(n)),i(e.options.event),t.additionalEvent&&i(t.additionalEvent),n>=8&&i(e.options.event+ft(n))},tryEmit:function(t){if(this.canEmit())return this.emit(t);this.state=32},canEmit:function(){for(var t=0;te.threshold&&r&e.direction},attrTest:function(t){return mt.prototype.attrTest.call(this,t)&&(2&this.state||!(2&this.state)&&this.directionTest(t))},emit:function(t){this.pX=t.deltaX,this.pY=t.deltaY;var e=vt(t.direction);e&&(t.additionalEvent=this.options.event+e),this._super.emit.call(this,t)}}),g(yt,mt,{defaults:{event:\"pinch\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.scale-1)>this.options.threshold||2&this.state)},emit:function(t){if(1!==t.scale){var e=t.scale<1?\"in\":\"out\";t.additionalEvent=this.options.event+e}this._super.emit.call(this,t)}}),g(Tt,pt,{defaults:{event:\"press\",pointers:1,time:251,threshold:9},getTouchAction:function(){return[\"auto\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distancee.time;if(this._input=t,!i||!n||12&t.eventType&&!r)this.reset();else if(1&t.eventType)this.reset(),this._timer=l((function(){this.state=8,this.tryEmit()}),e.time,this);else if(4&t.eventType)return 8;return 32},reset:function(){clearTimeout(this._timer)},emit:function(t){8===this.state&&(t&&4&t.eventType?this.manager.emit(this.options.event+\"up\",t):(this._input.timeStamp=c(),this.manager.emit(this.options.event,this._input)))}}),g(Et,mt,{defaults:{event:\"rotate\",threshold:0,pointers:2},getTouchAction:function(){return[\"none\"]},attrTest:function(t){return this._super.attrTest.call(this,t)&&(Math.abs(t.rotation)>this.options.threshold||2&this.state)}}),g(It,mt,{defaults:{event:\"swipe\",threshold:10,velocity:.3,direction:30,pointers:1},getTouchAction:function(){return gt.prototype.getTouchAction.call(this)},attrTest:function(t){var e,n=this.options.direction;return 30&n?e=t.overallVelocity:6&n?e=t.overallVelocityX:24&n&&(e=t.overallVelocityY),this._super.attrTest.call(this,t)&&n&t.offsetDirection&&t.distance>this.options.threshold&&t.maxPointers==this.options.pointers&&u(e)>this.options.velocity&&4&t.eventType},emit:function(t){var e=vt(t.offsetDirection);e&&this.manager.emit(this.options.event+e,t),this.manager.emit(this.options.event,t)}}),g(At,pt,{defaults:{event:\"tap\",pointers:1,taps:1,interval:300,time:250,threshold:9,posThreshold:10},getTouchAction:function(){return[\"manipulation\"]},process:function(t){var e=this.options,n=t.pointers.length===e.pointers,i=t.distance{this.model.active?this.activate():this.deactivate()})}activate(){}deactivate(){}}i.ToolView=r,r.__name__=\"ToolView\";class _ extends a.Model{constructor(t){super(t)}static init_Tool(){this.prototype._known_aliases=new Map,this.internal({active:[n.Boolean,!1]})}get synthetic_renderers(){return[]}_get_dim_tooltip(t,e){switch(e){case\"width\":return t+\" (x-axis)\";case\"height\":return t+\" (y-axis)\";case\"both\":return t}}_get_dim_limits([t,e],[i,n],o,a){const r=o.bbox.h_range;let _;\"width\"==a||\"both\"==a?(_=[s.min([t,i]),s.max([t,i])],_=[s.max([_[0],r.start]),s.min([_[1],r.end])]):_=[r.start,r.end];const l=o.bbox.v_range;let c;return\"height\"==a||\"both\"==a?(c=[s.min([e,n]),s.max([e,n])],c=[s.max([c[0],l.start]),s.min([c[1],l.end])]):c=[l.start,l.end],[_,c]}static register_alias(t,e){this.prototype._known_aliases.set(t,e)}static from_string(t){const e=this.prototype._known_aliases.get(t);if(null!=e)return e();{const e=[...this.prototype._known_aliases.keys()];throw new Error(`unexpected tool name '${t}', possible tools are ${e.join(\", \")}`)}}}i.Tool=_,_.__name__=\"Tool\",_.init_Tool()},\n", - " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0}),t.bk_toolbar=\"bk-toolbar\",t.bk_toolbar_hidden=\"bk-toolbar-hidden\",t.bk_toolbar_button=\"bk-toolbar-button\",t.bk_button_bar=\"bk-button-bar\",t.bk_toolbar_button_custom_action=\"bk-toolbar-button-custom-action\"},\n", - " function _(o,b,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-toolbar-hidden {\\n visibility: hidden;\\n opacity: 0;\\n transition: visibility 0.3s linear, opacity 0.3s linear;\\n}\\n.bk-root .bk-toolbar,\\n.bk-root .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: center;\\n -webkit-align-items: center;\\n user-select: none;\\n -ms-user-select: none;\\n -moz-user-select: none;\\n -webkit-user-select: none;\\n}\\n.bk-root .bk-toolbar .bk-logo {\\n flex-shrink: 0;\\n -webkit-flex-shrink: 0;\\n}\\n.bk-root .bk-toolbar.bk-above,\\n.bk-root .bk-toolbar.bk-below {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n justify-content: flex-end;\\n -webkit-justify-content: flex-end;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-logo,\\n.bk-root .bk-toolbar.bk-below .bk-logo {\\n order: 1;\\n -webkit-order: 1;\\n margin-left: 5px;\\n margin-right: 0px;\\n}\\n.bk-root .bk-toolbar.bk-left,\\n.bk-root .bk-toolbar.bk-right {\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n justify-content: flex-start;\\n -webkit-justify-content: flex-start;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar {\\n display: flex;\\n display: -webkit-flex;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-logo,\\n.bk-root .bk-toolbar.bk-right .bk-logo {\\n order: 0;\\n -webkit-order: 0;\\n margin-bottom: 5px;\\n margin-top: 0px;\\n}\\n.bk-root .bk-toolbar-button {\\n width: 30px;\\n height: 30px;\\n cursor: pointer;\\n background-size: 60%;\\n background-color: transparent;\\n background-repeat: no-repeat;\\n background-position: center center;\\n}\\n.bk-root .bk-toolbar-button:hover {\\n background-color: rgba(192, 192, 192, 0.15);\\n}\\n.bk-root .bk-toolbar-button:focus {\\n outline: none;\\n}\\n.bk-root .bk-toolbar-button::-moz-focus-inner {\\n border: 0;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button {\\n border-bottom: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-toolbar-button.bk-active {\\n border-bottom-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button {\\n border-top: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-below .bk-toolbar-button.bk-active {\\n border-top-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button {\\n border-left: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-right .bk-toolbar-button.bk-active {\\n border-left-color: #26aae1;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button {\\n border-right: 2px solid transparent;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-toolbar-button.bk-active {\\n border-right-color: #26aae1;\\n}\\n.bk-root .bk-button-bar + .bk-button-bar:before {\\n content: \" \";\\n display: inline-block;\\n background-color: lightgray;\\n}\\n.bk-root .bk-toolbar.bk-above .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-below .bk-button-bar + .bk-button-bar:before {\\n height: 10px;\\n width: 1px;\\n}\\n.bk-root .bk-toolbar.bk-left .bk-button-bar + .bk-button-bar:before,\\n.bk-root .bk-toolbar.bk-right .bk-button-bar + .bk-button-bar:before {\\n height: 1px;\\n width: 10px;\\n}\\n'},\n", - " function _(A,g,C){Object.defineProperty(C,\"__esModule\",{value:!0});C.default='\\n.bk-root .bk-tool-icon-replace-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxokK3gniQAAAHpJREFUWMNjXLhsJcNAAiaGAQajDhhwB7DgEP+PxmeksvjgDwFcLmYkUh2hkBj8IcBIZXsYh1w2/I8v3sgAOM0bLYhGc8GgrwuICgldfQO88pcvXvg/aOuCUQeM5oLRuoCFCJcTbOMh5XOiW0JDNhdQS3y0IBp1ABwAAF8KGrhC1Eg6AAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-append-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkZWD04WwAAAB1pVFh0Q29tbWVudAAAAAAAQ3JlYXRlZCB3aXRoIEdJTVBkLmUHAAAAoUlEQVRYw+1WQQ6AIAwrhO8Y/bIXEz9jIMSDr8ETCUEPQzA4pMeFLKNbu4l5WR0CDOMEALBGIzMuQIBEZQjPgP9JLjwTfBjY9sO9lZsFA9IafZng3BlIyVefgd8XQFZBAWe8jfNxwsDhir6rzoCiPiy1K+J8/FRQemv2XfAdFcQ9znU4Viqg9ta1qYJ+D1BnAIBrkgGVOrXNqUA9rbyZm/AEzFh4jEeY/soAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-intersect-mode {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH5AUFFxkrkOpp2wAAAPhJREFUWMPtV1EKwjAMTUavI3oawR/vtn5srJdREfzwMvHHQlcT2mpdMzFfWxiP5r2+JMN+mAiCOB72CABgR1cln4oOGocJnuMTSxWk8jMm7OggYkYXA9gPE3uyd8NXHONJ+eYMdE/NqCJmEZ5ZqlJJ4sUksKN7cYSaPoCZFWR1QI+Xm1fBACU63Cw22x0AAJxudwrffVwvZ+JmQdAHZkw0d4EpAMCw8k87pMdbnwtizQumJYv3nwV6XOA1qbUT/oQLUJgFRbsiNwFVucBIlyR3p0tdMp+XmFjfLKi1LatyAXtCRjPWBdL3Ke3VuACJKFfDr/xFN2fgAR/Go0qaLlmEAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-subtract-mode {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-clear-selection {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-select {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg0kduFrowAAAIdJREFUWMPtVtEKwCAI9KL//4e9DPZ3+wP3KgOjNZouFYI4C8q7s7DtB1lGIeMoRMRinCLXg/ML3EcFqpjjloOyZxRntxpwQ8HsgHYARKFAtSFrCg3TCdMFCE1BuuALEXJLjC4qENsFVXCESZw38/kWLOkC/K4PcOc/Hj03WkoDT3EaWW9egQul6CUbq90JTwAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-box-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-in {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-zoom-out {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-help {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAAAXNSR0IArs4c6QAAAAlwSFlzAAALEwAACxMBAJqcGAAABltpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIgogICAgICAgICAgICB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIKICAgICAgICAgICAgeG1sbnM6c3RSZWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZVJlZiMiCiAgICAgICAgICAgIHhtbG5zOmRjPSJodHRwOi8vcHVybC5vcmcvZGMvZWxlbWVudHMvMS4xLyIKICAgICAgICAgICAgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIj4KICAgICAgICAgPHRpZmY6UmVzb2x1dGlvblVuaXQ+MjwvdGlmZjpSZXNvbHV0aW9uVW5pdD4KICAgICAgICAgPHRpZmY6Q29tcHJlc3Npb24+NTwvdGlmZjpDb21wcmVzc2lvbj4KICAgICAgICAgPHRpZmY6WFJlc29sdXRpb24+NzI8L3RpZmY6WFJlc29sdXRpb24+CiAgICAgICAgIDx0aWZmOk9yaWVudGF0aW9uPjE8L3RpZmY6T3JpZW50YXRpb24+CiAgICAgICAgIDx0aWZmOllSZXNvbHV0aW9uPjcyPC90aWZmOllSZXNvbHV0aW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFlEaW1lbnNpb24+MzI8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+MzI8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpDb2xvclNwYWNlPjE8L2V4aWY6Q29sb3JTcGFjZT4KICAgICAgICAgPHhtcE1NOkluc3RhbmNlSUQ+eG1wLmlpZDpBODVDNDBDMzIwQjMxMUU0ODREQUYzNzM5QTM2MjBCRTwveG1wTU06SW5zdGFuY2VJRD4KICAgICAgICAgPHhtcE1NOkRvY3VtZW50SUQ+eG1wLmRpZDpBODVDNDBDNDIwQjMxMUU0ODREQUYzNzM5QTM2MjBCRTwveG1wTU06RG9jdW1lbnRJRD4KICAgICAgICAgPHhtcE1NOkRlcml2ZWRGcm9tIHJkZjpwYXJzZVR5cGU9IlJlc291cmNlIj4KICAgICAgICAgICAgPHN0UmVmOmluc3RhbmNlSUQ+eG1wLmlpZDpBODVDNDBDMTIwQjMxMUU0ODREQUYzNzM5QTM2MjBCRTwvc3RSZWY6aW5zdGFuY2VJRD4KICAgICAgICAgICAgPHN0UmVmOmRvY3VtZW50SUQ+eG1wLmRpZDpBODVDNDBDMjIwQjMxMUU0ODREQUYzNzM5QTM2MjBCRTwvc3RSZWY6ZG9jdW1lbnRJRD4KICAgICAgICAgPC94bXBNTTpEZXJpdmVkRnJvbT4KICAgICAgICAgPGRjOnN1YmplY3Q+CiAgICAgICAgICAgIDxyZGY6U2VxLz4KICAgICAgICAgPC9kYzpzdWJqZWN0PgogICAgICAgICA8eG1wOk1vZGlmeURhdGU+MjAxNjoxMToyOCAxMToxMTo4MjwveG1wOk1vZGlmeURhdGU+CiAgICAgICAgIDx4bXA6Q3JlYXRvclRvb2w+UGl4ZWxtYXRvciAzLjY8L3htcDpDcmVhdG9yVG9vbD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+Cphjt2AAAAT7SURBVFgJxRdbaFxFdGb2bhui227BWrsVKYgf2kJUbP9EUPuzEB803WTXJjH61Q/7Ya1+CMYKEVTsh4J/EpvY7BoabUiNiA8s1p+4KIhpoUUEselHqyS76TbZ3HuP58ydc3d2u4+IkQxczpz3mZkzZ86VYpXjvenpjZsLhUcliE4AuUuASAgptmt1EFdwPiclzIIUUwubNn17OJlcXo1p2UpodHRiux9xB1Eug1+slbzhFxGOKc851tu7/0oznYYBDA8Pt0U2tL8KQryIq2tvZqQhD0QJHRz3yqWhgYGBpXpydQMwqz6NCnurleCSADkJEfgKfOePqL80R/wV1ZaQyr1LenKfkPCkEPKeaj0xg7vxVL3duCmA0Vyuw/fl52hgBxsBED+h4Cv9z3R/zbRm8MTJTx7HQN7GQB6w5C4L4SX7M5lfLBpurjXMyvNIShiyi0l1pL8n9b7EDGPR8fHxzSsQ6XDB3618/xqo6Pk25V5MpVJllgHM1BO58RdQ612kOYZ+GXdij70TYQB05mpj+1kU5G2fB+l3PZtOf8NGx6ambnMXb3yAxg8wjSEG6OKKR9oicBQD+ZvpH2Wzj0lQpxCPG9qMv1x6hHNCsSAlHM7ZOa682vlI9tRDbvHGbD3nZAPpDoD/3JIrLpAs26UFkC3EMUA99hpfGtEBfJjNJnS2Gwnadnvl+Xw+iuc3DAJuNyIaSCHpilVldyDjjUxj3WDZIAhxhHHyRcdNuA7AAfUaXzVKODpzFiZ4/uLvh5G+m2no+C/pyIf7MqlEJB7bpqR6nXkEUfbeawuLaZsW2ISfNQ2vtaktQlGFQyIVGT0o2+2EC4iQNGwjBIN9qdQ5Qg4mk4X4rW3vCClLtowE2FOFUxKDfNmiZci3ovKKRFPh4FK9q4Zbdr+lKKJiA13TcHR2dmLBgdmQ0GAS2MZaEowY+XbAk09IvgtYZGp16SyvFhaHcIUh645t8T9DBCcnz5zZ4hZLu3DzK2QlL1QQa0Y+pHiJKPSuOGj3PmZTheM5w2TwqBxnvBZOTk7G5gvXJ5Aelms8wnJURL+olSWcfEhf6gDoUXPMq6ZlqbzWU2pE+3hi4s6F68tfIj9cBMlikr7Z0/P0b/X0yIcUXsDCF1WhtL4OROHaXk+xlkbV0Cu732Nmhc4peaWSg73pA8dq5RkvO37ldUTfXCKZv2q45MkhvG87WQEzpCCUSvV1d9GONBy3lMvgKSwrZig8gjAietWY0QriylO2jIo4yVbOSb7KB/qmI9BPKjHpSSXYauRyn92Nq9/Kcrj13x3s3v8D481glQ/0raiNYgX9njPSBOImbrHZePl+tfFmc9sH+Xaoh8NjOKSVdDMhjjYzQLy+dFceH5+IJQf9VYXX4tROg4ZFU8m31M3mfPEqUoJqCGJfvWpo2xnNfdrhC28n06SCeSzNZxlvBINGRXCtKS7EY1uV6V7HWAm38y1cXaXsMcOCvr9ySPj+af7A1U2HJXHzVNvUXVLIGyPf+jV0pf8GHoN+TLAyPkidTCi2RpPApmnR0Bd1zGRaB/B8Oj2HSw7LLbVR1MmskW8RdEWVXSJf3JbpAMgRtc4IZoxTh9qotQjCasm46M0YX9pV1VmbpvRH5OwwgdRtSg2vKaAz/1dNKVtb17Y8DCL4HVufHxMOYl1/zTgIgiYvBnFKfaNp3YjTdPz3n9Na8//X7/k/O1tdwopcZlcAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-hover {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4oVHp0SwAAAQJJREFUWMPtlsENgzAMRb8RQ5VJItFDOgaZAMaAA0iZpN3KPZSoEEHSQBCViI/G8pfNt/KAFFcPshPdoAGgZkYVVYjQAFCyFLN8tlAbXRwAxp61nc9XCkGERpZCxRDvBl0zoxp7K98GAACxxH29srNNmPsK2l7zHoHHXZDr+/9vwDfB3kgeSB5IHkgeOH0DmesJjSXi6pUvkYt5u9teVy6aWREDM0D0BRvmGRV5N6DsQkMzI64FidtI5t3AOKWaFhuioY8dlYf9TO1PREUh/9HVeAqzIThHgWZ6MuNmC1jiL1mK4pAzlKUojEmNsxcmL0J60tazWjLZFpClPbd9BMJfL95145YajN5RHQAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-crosshair {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-lasso-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-pan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4lKssI9gAAAOtJREFUWMPVll0KwyAMgNPgoc0JzDX2Mtgp3csKErSamGabIEUo/T6bHz0ezxdsjPJ5kvUDaROem7VJAp3gufkbtwtI+JYEOsHNEugIN0mgM1wtsVoF1MnyKtZHZBW4DVxoMh6jaAW0MTfnBAbALyUwCD6UwEB4VyJN4FXx4aqUAACgFLjzrsRP9AECAP4Cm88QtJeJrGivdeNdPpko+j1H7XzUB+6WYHmo4eDk4wj41XFMEfBZGXpK0F/eB+QhVcXslVo7i6eANjF5NYSojCN7wi05MJNgbfKiMaPZA75TBVKCrWWbnGrb3DPePZ9Bcbe/QecAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-xpan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4X4hxZdgAAAMpJREFUWMPtlsEKwjAMhr/pwOOedINJe/PobWXCfAIvgo/nA4heOiilZQqN2yE5lpD/I38SWt3uD9aMHSuHAiiAAmwaYCqoM/0KMABtQYDW11wEaHyiEei28bWb8LGOkk5C4iEEgE11YBQWDyHGuAMD0CeS30IQPfACbC3o+Vd2bOIOWMCtoO1mC+ap3CfmoCokFs/SZd6E0ILjnzrhvFbyEJ2FIZzXyB6iZ3AkjITn8WOdSbbAoaD4NSW+tIZdQYBOPyQKoAAKkIsPv0se4A/1UC0AAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-ypan {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4anK0lywAAAMVJREFUWMPtlzEKwzAMRX/S7rlpIMXeOnaLaME36FLo8XqCdNFghGljyc4kgQi2Q/SUj0F/eL7eMMTKz6j9wNlYPGRrFcSoLH4XxQPvdQeYuPOlcLbw2dRTgqvoXEaolWM0aP4LYm0NkHYWzyFSSwlmzjw2sR6OvAXNwgEcwAEcwAEcwAEcoGYk20SiMCHlmVoCzACoojEqjHBmCeJOCOo1lgPA7Q8E8TvdjMmHuzsV3NFD4w+1t+Ai/gTx3qHuOFqdMQB8ASMwJX0IEHOeAAAAAElFTkSuQmCC\");\\n}\\n.bk-root .bk-tool-icon-range {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAAAXNSR0IArs4c6QAAAAlwSFlzAAALEwAACxMBAJqcGAAABCJpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IlhNUCBDb3JlIDUuNC4wIj4KICAgPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4KICAgICAgPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIKICAgICAgICAgICAgeG1sbnM6dGlmZj0iaHR0cDovL25zLmFkb2JlLmNvbS90aWZmLzEuMC8iCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIgogICAgICAgICAgICB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iCiAgICAgICAgICAgIHhtbG5zOnhtcD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLyI+CiAgICAgICAgIDx0aWZmOlJlc29sdXRpb25Vbml0PjI8L3RpZmY6UmVzb2x1dGlvblVuaXQ+CiAgICAgICAgIDx0aWZmOkNvbXByZXNzaW9uPjU8L3RpZmY6Q29tcHJlc3Npb24+CiAgICAgICAgIDx0aWZmOlhSZXNvbHV0aW9uPjcyPC90aWZmOlhSZXNvbHV0aW9uPgogICAgICAgICA8dGlmZjpPcmllbnRhdGlvbj4xPC90aWZmOk9yaWVudGF0aW9uPgogICAgICAgICA8dGlmZjpZUmVzb2x1dGlvbj43MjwvdGlmZjpZUmVzb2x1dGlvbj4KICAgICAgICAgPGV4aWY6UGl4ZWxYRGltZW5zaW9uPjMyPC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6Q29sb3JTcGFjZT4xPC9leGlmOkNvbG9yU3BhY2U+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj4zMjwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgICAgIDxkYzpzdWJqZWN0PgogICAgICAgICAgICA8cmRmOkJhZy8+CiAgICAgICAgIDwvZGM6c3ViamVjdD4KICAgICAgICAgPHhtcDpNb2RpZnlEYXRlPjIwMTgtMDQtMjhUMTQ6MDQ6NDk8L3htcDpNb2RpZnlEYXRlPgogICAgICAgICA8eG1wOkNyZWF0b3JUb29sPlBpeGVsbWF0b3IgMy43PC94bXA6Q3JlYXRvclRvb2w+CiAgICAgIDwvcmRmOkRlc2NyaXB0aW9uPgogICA8L3JkZjpSREY+CjwveDp4bXBtZXRhPgrsrWBhAAAD60lEQVRYCcVWv2scRxSemZ097SHbSeWkcYwwclDhzr1Q5T6QE1LghP6BGNIYJGRWNlaZItiFK1mr+JAu4HQu0kjpU8sgF3ITAsaFg0hOvt2Zyfvmdsa7a610Unx44Zgf773vvfneezPHNzrbhn3CT3xC3wPXYOC8LDzqdi8YY/gwh4BeknS/2th6dr2kf94AOp3OFyWgMyziOPbMDxV9FTtJnl1ut795Xd0/YQ0/vtYQwMT1KXWCfr2IjOWwtNehwN4xL9ykTrm6Pzl58yLn3J+mKh9mXbT3uRjGEDph+O8/TjfP5dBp7Ha7AX7O3o5nZeD/0E/OGyXntDgzA0X6qmCnrVutVlrUWV9f/3xo+pwhGDhvEPHOjoxnZjJggXmMHzBQ7NGNp9vxk61fr0HR7e/u7pZzCGHlc7qwBYYTT7tJYSx1AQzppyFPft5apta9w7SKcn0b7P7+/jCsDQ5mbc0dCmIJGDN0ehdcjsmkm6A6KUeKFOTE11PLxrC7Ukqh3ylL2fT0NAP9q6ur6rRCJJYsbKB0JsbCKMuy+xREePDyxQPCz+Crlw062QcA5wBOOt1l6vIl2WiI9F1fN6Q+BBqit6hEC4Hk08GQJMn4myjSP7RavVxgdaVUh/3U6HCMsPr9pYnJKRziHtWQ+un58+hGs6nsjQSjpuTyKGN3CX+FBwHXSiEVgjP+O8X6N12kIePES+GzTKAkGbNp8yJsGUMVzz8jPKReiyAQRimy5/cjye5RpF8utFp/+nwmT7d/NMzcFkS7yjJNGDaPURQxIQThEQy0SyF4l5WJYYhBa816vZ6dU7A6CAhbZVow/pDe0O9hVOoCi13r4BgBAvJHqMSQL2vE/iH6IAXEwgrRVUmBoRRwnwJQT98xEeVeSUyB4dJ5nwJBKdCFFGRmUCcu7rwIYypCTblaChuNBhWODrman5ub+4v0rMNBt8z6Ezh7GksJQpCbm79cMQE7QBFm/X6f0rjWnv8WRYg/QdbUpwDAEBy8vPyA8rNGzg3a8MiElwiM7dAtRqNoNptjGPM1laVxP9umWEMGLOKhKUOJDtBwDmzsw9fC/CzHr9SGuCTi2LbbKvVtmqXpCjMihBFa79Wrt5fGx9PDzc3fmu32Lf8qFliwU9emKhBSp+kRKn/hu9k1COEDbFdt/BoKWOAkuEbdVYyoIXv8+I/QK9dMHEb1Knb7MHOv8LFFOsjzCVHWOD7Ltn+MXCRF4729vWMDK+p8rLkvwjLg4N4v741m5YuwCI9CvHp1Ha8gFdBoPnQAkGsYYGxxcfEI7QQlFCTGUXwjAz4tWF+EpymOWu7fglE7qsOvrYE6g4+9/x/vhRbMdLOCFgAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-polygon-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-redo {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-reset {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-save {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4UexUIzAAAAIRJREFUWMNjXLhs5X+GAQRMDAMMWJDYjGhyf7CoIQf8x2H+f0KGM9M7BBio5FNcITo408CoA0YdQM1cwEhtB/ylgqMkCJmFLwrOQguj/xTg50hmkeyARAYGhlNUCIXjDAwM0eREwTUGBgbz0Ww46oBRB4w6YNQBow4YdcCIahP+H5EhAAAH2R8hH3Rg0QAAAABJRU5ErkJggg==\");\\n}\\n.bk-root .bk-tool-icon-tap-select {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-undo {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-wheel-pan {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-wheel-zoom {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-box-edit {\\n background-image: url(\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACAAAAAgCAYAAABzenr0AAAABmJLR0QA/wD/AP+gvaeTAAAACXBIWXMAAAsTAAALEwEAmpwYAAAAB3RJTUUH4gEMEg4QfHjM1QAAAGRJREFUWMNjXLhsJcNAAiaGAQYsDAwM/+lsJ+OgCwGsLqMB+D8o08CoA0YdMOqAUQewDFQdMBoFIyoN/B/U7YFRB7DQIc7xyo9GwbBMA4xDqhxgISH1klXbDYk0QOseEeOgDgEAIS0JQleje6IAAAAASUVORK5CYII=\");\\n}\\n.bk-root .bk-tool-icon-freehand-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-point-draw {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-poly-edit {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n.bk-root .bk-tool-icon-line-edit {\\n background-image: url(\"data:image/png;base64,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\");\\n}\\n'},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(68),o=n.__importStar(t(255));class l{constructor(t,e={}){this.items=t,this.options=e,this.el=s.div(),this._open=!1,this._item_click=t=>{var e;null===(e=this.items[t])||void 0===e||e.handler(),this.hide()},this._on_mousedown=t=>{var e,i;const{target:n}=t;n instanceof Node&&this.el.contains(n)||(null===(i=(e=this.options).prevent_hide)||void 0===i?void 0:i.call(e,t))||this.hide()},this._on_keydown=t=>{t.keyCode==s.Keys.Esc&&this.hide()},this._on_blur=()=>{this.hide()},s.undisplay(this.el)}get is_open(){return this._open}get can_open(){return 0!=this.items.length}remove(){s.remove(this.el),this._unlisten()}_listen(){document.addEventListener(\"mousedown\",this._on_mousedown),document.addEventListener(\"keydown\",this._on_keydown),window.addEventListener(\"blur\",this._on_blur)}_unlisten(){document.removeEventListener(\"mousedown\",this._on_mousedown),document.removeEventListener(\"keydown\",this._on_keydown),window.removeEventListener(\"blur\",this._on_blur)}_position(t){const e=this.el.parentElement;if(null!=e){const i=e.getBoundingClientRect();this.el.style.left=null!=t.left?t.left-i.left+\"px\":\"\",this.el.style.top=null!=t.top?t.top-i.top+\"px\":\"\",this.el.style.right=null!=t.right?i.right-t.right+\"px\":\"\",this.el.style.bottom=null!=t.bottom?i.bottom-t.bottom+\"px\":\"\"}}render(){var t;s.empty(this.el,!0);const e=null!==(t=this.options.orientation)&&void 0!==t?t:\"vertical\";s.classes(this.el).add(\"bk-context-menu\",\"bk-\"+e),s.append(this.el,...this.items.map((t,e)=>{var i;let n;if(null!=t){const e=null!=t.icon?s.div({class:[\"bk-menu-icon\",t.icon]}):null;n=s.div({class:(null===(i=t.active)||void 0===i?void 0:i.call(t))?\"bk-active\":null,title:t.tooltip},e,t.label)}else n=s.div({class:o.bk_divider});return n.addEventListener(\"click\",()=>this._item_click(e)),n}))}show(t){0!=this.items.length&&(this._open||(this.render(),this._position(null!=t?t:{left:0,top:0}),s.display(this.el),this._listen(),this._open=!0))}hide(){this._open&&(this._open=!1,this._unlisten(),s.undisplay(this.el))}toggle(t){this._open?this.hide():this.show(t)}}i.ContextMenu=l,l.__name__=\"ContextMenu\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(275),i=e(146),s=e(68);class c extends o.ButtonToolButtonView{render(){super.render(),s.classes(this.el).toggle(i.bk_active,this.model.active)}_clicked(){const{active:e}=this.model;this.model.active=!e}}n.OnOffButtonView=c,c.__name__=\"OnOffButtonView\"},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1),s=t(72),l=t(68),n=t(99),a=i.__importStar(t(18)),r=t(66),_=t(9),c=t(8),h=t(71),u=t(284),v=t(285),d=t(286),b=t(274),p=t(278),g=t(288),f=t(146),m=i.__importDefault(t(279)),w=i.__importDefault(t(289));class y extends h.Model{constructor(t){super(t)}static init_ToolbarViewModel(){this.define({_visible:[a.Any,null],autohide:[a.Boolean,!1]})}get visible(){return!this.autohide||null!=this._visible&&this._visible}}e.ToolbarViewModel=y,y.__name__=\"ToolbarViewModel\",y.init_ToolbarViewModel();class T extends r.DOMView{initialize(){super.initialize(),this._tool_button_views=new Map,this._toolbar_view_model=new y({autohide:this.model.autohide})}async lazy_initialize(){await this._build_tool_button_views()}connect_signals(){super.connect_signals(),this.connect(this.model.properties.tools.change,async()=>{await this._build_tool_button_views(),this.render()}),this.connect(this.model.properties.autohide.change,()=>{this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change()}),this.connect(this._toolbar_view_model.properties._visible.change,()=>this._on_visible_change())}styles(){return[...super.styles(),m.default,w.default]}remove(){n.remove_views(this._tool_button_views),super.remove()}async _build_tool_button_views(){const t=null!=this.model._proxied_tools?this.model._proxied_tools:this.model.tools;await n.build_views(this._tool_button_views,t,{parent:this},t=>t.button_view)}set_visibility(t){t!=this._toolbar_view_model._visible&&(this._toolbar_view_model._visible=t)}_on_visible_change(){const t=this._toolbar_view_model.visible,o=p.bk_toolbar_hidden;this.el.classList.contains(o)&&t?this.el.classList.remove(o):t||this.el.classList.add(o)}render(){if(l.empty(this.el),this.el.classList.add(p.bk_toolbar),this.el.classList.add(f.bk_side(this.model.toolbar_location)),this._toolbar_view_model.autohide=this.model.autohide,this._on_visible_change(),null!=this.model.logo){const t=\"grey\"===this.model.logo?g.bk_grey:null,o=l.a({href:\"https://bokeh.org/\",target:\"_blank\",class:[g.bk_logo,g.bk_logo_small,t]});this.el.appendChild(o)}for(const[,t]of this._tool_button_views)t.render();const t=[],o=t=>this._tool_button_views.get(t).el,{gestures:e}=this.model;for(const i in e)t.push(e[i].tools.map(o));t.push(this.model.actions.map(o)),t.push(this.model.inspectors.filter(t=>t.toggleable).map(o));for(const o of t)if(0!==o.length){const t=l.div({class:p.bk_button_bar},o);this.el.appendChild(t)}}update_layout(){}update_position(){}after_layout(){this._has_finished=!0}}function k(){return{pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}}}e.ToolbarBaseView=T,T.__name__=\"ToolbarBaseView\";class M extends h.Model{constructor(t){super(t)}static init_ToolbarBase(){this.prototype.default_view=T,this.define({tools:[a.Array,[]],logo:[a.Logo,\"normal\"],autohide:[a.Boolean,!1]}),this.internal({gestures:[a.Any,k],actions:[a.Array,[]],inspectors:[a.Array,[]],help:[a.Array,[]],toolbar_location:[a.Location,\"right\"]})}initialize(){super.initialize(),this._init_tools()}_init_tools(){const t=function(t,o){if(t.length!=o.length)return!0;const e=new Set(o.map(t=>t.id));return _.some(t,t=>!e.has(t.id))},o=this.tools.filter(t=>t instanceof b.InspectTool);t(this.inspectors,o)&&(this.inspectors=o);const e=this.tools.filter(t=>t instanceof d.HelpTool);t(this.help,e)&&(this.help=e);const i=this.tools.filter(t=>t instanceof v.ActionTool);t(this.actions,i)&&(this.actions=i);const l=(t,o)=>{t in this.gestures||s.logger.warn(`Toolbar: unknown event type '${t}' for tool: ${o}`)},n={pan:{tools:[],active:null},scroll:{tools:[],active:null},pinch:{tools:[],active:null},tap:{tools:[],active:null},doubletap:{tools:[],active:null},press:{tools:[],active:null},pressup:{tools:[],active:null},rotate:{tools:[],active:null},move:{tools:[],active:null},multi:{tools:[],active:null}};for(const t of this.tools)if(t instanceof u.GestureTool&&t.event_type)if(c.isString(t.event_type))n[t.event_type].tools.push(t),l(t.event_type,t);else{n.multi.tools.push(t);for(const o of t.event_type)l(o,t)}for(const o of Object.keys(n)){const e=this.gestures[o];t(e.tools,n[o].tools)&&(e.tools=n[o].tools),e.active&&_.every(e.tools,t=>t.id!=e.active.id)&&(e.active=null)}}get horizontal(){return\"above\"===this.toolbar_location||\"below\"===this.toolbar_location}get vertical(){return\"left\"===this.toolbar_location||\"right\"===this.toolbar_location}_active_change(t){const{event_type:o}=t;if(null==o)return;const e=c.isString(o)?[o]:o;for(const o of e)if(t.active){const e=this.gestures[o].active;null!=e&&t!=e&&(s.logger.debug(`Toolbar: deactivating tool: ${e} for event type '${o}'`),e.active=!1),this.gestures[o].active=t,s.logger.debug(`Toolbar: activating tool: ${t} for event type '${o}'`)}else this.gestures[o].active=null}}e.ToolbarBase=M,M.__name__=\"ToolbarBase\",M.init_ToolbarBase()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(275),n=e(282);class u extends s.ButtonToolView{}t.GestureToolView=u,u.__name__=\"GestureToolView\";class _ extends s.ButtonTool{constructor(e){super(e),this.button_view=n.OnOffButtonView}}t.GestureTool=_,_.__name__=\"GestureTool\"},\n", - " function _(o,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const e=o(275),i=o(14);class s extends e.ButtonToolButtonView{_clicked(){this.model.do.emit()}}n.ActionToolButtonView=s,s.__name__=\"ActionToolButtonView\";class c extends e.ButtonToolView{connect_signals(){super.connect_signals(),this.connect(this.model.do,()=>this.doit())}}n.ActionToolView=c,c.__name__=\"ActionToolView\";class l extends e.ButtonTool{constructor(o){super(o),this.button_view=s,this.do=new i.Signal0(this,\"do\")}}n.ActionTool=l,l.__name__=\"ActionTool\"},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(1),l=o(285),s=i.__importStar(o(18)),n=o(287);class _ extends l.ActionToolView{doit(){window.open(this.model.redirect)}}t.HelpToolView=_,_.__name__=\"HelpToolView\";class r extends l.ActionTool{constructor(o){super(o),this.tool_name=\"Help\",this.icon=n.bk_tool_icon_help}static init_HelpTool(){this.prototype.default_view=_,this.define({help_tooltip:[s.String,\"Click the question mark to learn more about Bokeh plot tools.\"],redirect:[s.String,\"https://docs.bokeh.org/en/latest/docs/user_guide/tools.html\"]}),this.register_alias(\"help\",()=>new r)}get tooltip(){return this.help_tooltip}}t.HelpTool=r,r.__name__=\"HelpTool\",r.init_HelpTool()},\n", - " function _(o,_,l){Object.defineProperty(l,\"__esModule\",{value:!0}),l.bk_tool_icon_box_select=\"bk-tool-icon-box-select\",l.bk_tool_icon_box_zoom=\"bk-tool-icon-box-zoom\",l.bk_tool_icon_zoom_in=\"bk-tool-icon-zoom-in\",l.bk_tool_icon_zoom_out=\"bk-tool-icon-zoom-out\",l.bk_tool_icon_help=\"bk-tool-icon-help\",l.bk_tool_icon_hover=\"bk-tool-icon-hover\",l.bk_tool_icon_crosshair=\"bk-tool-icon-crosshair\",l.bk_tool_icon_lasso_select=\"bk-tool-icon-lasso-select\",l.bk_tool_icon_pan=\"bk-tool-icon-pan\",l.bk_tool_icon_xpan=\"bk-tool-icon-xpan\",l.bk_tool_icon_ypan=\"bk-tool-icon-ypan\",l.bk_tool_icon_range=\"bk-tool-icon-range\",l.bk_tool_icon_polygon_select=\"bk-tool-icon-polygon-select\",l.bk_tool_icon_redo=\"bk-tool-icon-redo\",l.bk_tool_icon_reset=\"bk-tool-icon-reset\",l.bk_tool_icon_save=\"bk-tool-icon-save\",l.bk_tool_icon_tap_select=\"bk-tool-icon-tap-select\",l.bk_tool_icon_undo=\"bk-tool-icon-undo\",l.bk_tool_icon_wheel_pan=\"bk-tool-icon-wheel-pan\",l.bk_tool_icon_wheel_zoom=\"bk-tool-icon-wheel-zoom\",l.bk_tool_icon_box_edit=\"bk-tool-icon-box-edit\",l.bk_tool_icon_freehand_draw=\"bk-tool-icon-freehand-draw\",l.bk_tool_icon_poly_draw=\"bk-tool-icon-poly-draw\",l.bk_tool_icon_point_draw=\"bk-tool-icon-point-draw\",l.bk_tool_icon_poly_edit=\"bk-tool-icon-poly-edit\",l.bk_tool_icon_line_edit=\"bk-tool-icon-line-edit\"},\n", - " function _(o,l,b){Object.defineProperty(b,\"__esModule\",{value:!0}),b.bk_logo=\"bk-logo\",b.bk_logo_notebook=\"bk-logo-notebook\",b.bk_logo_small=\"bk-logo-small\",b.bk_grey=\"bk-grey\"},\n", - " function _(l,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n.bk-root .bk-logo {\\n margin: 5px;\\n position: relative;\\n display: block;\\n background-repeat: no-repeat;\\n}\\n.bk-root .bk-logo.bk-grey {\\n filter: url(\\\"data:image/svg+xml;utf8,#grayscale\\\");\\n /* Firefox 10+, Firefox on Android */\\n filter: gray;\\n /* IE6-9 */\\n -webkit-filter: grayscale(100%);\\n /* Chrome 19+, Safari 6+, Safari 6+ iOS */\\n}\\n.bk-root .bk-logo-small {\\n width: 20px;\\n height: 20px;\\n background-image: url(data:image/png;base64,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);\\n}\\n.bk-root .bk-logo-notebook {\\n display: inline-block;\\n vertical-align: middle;\\n margin-right: 5px;\\n}\\n\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});var s=this&&this.__rest||function(t,e){var i={};for(var s in t)Object.prototype.hasOwnProperty.call(t,s)&&e.indexOf(s)<0&&(i[s]=t[s]);if(null!=t&&\"function\"==typeof Object.getOwnPropertySymbols){var n=0;for(s=Object.getOwnPropertySymbols(t);n{const{width_policy:t,height_policy:e}=this.center_panel.sizing;return\"fixed\"!=t&&\"fixed\"!=e})()}}_set_geometry(t,e){super._set_geometry(t,e),this.center_panel.set_geometry(e);const i=this.left_panel.measure({width:0,height:t.height}),s=this.right_panel.measure({width:0,height:t.height}),n=this.top_panel.measure({width:t.width,height:0}),a=this.bottom_panel.measure({width:t.width,height:0}),{left:o,top:l,right:r,bottom:h}=e;this.top_panel.set_geometry(new O.BBox({left:o,right:r,bottom:l,height:n.height})),this.bottom_panel.set_geometry(new O.BBox({left:o,right:r,top:h,height:a.height})),this.left_panel.set_geometry(new O.BBox({top:l,bottom:h,right:o,width:i.width})),this.right_panel.set_geometry(new O.BBox({top:l,bottom:h,left:r,width:s.width}))}}i.PlotLayout=j,j.__name__=\"PlotLayout\";class P extends r.LayoutDOMView{constructor(){super(...arguments),this._outer_bbox=new O.BBox,this._inner_bbox=new O.BBox,this._needs_paint=!0,this._needs_layout=!1,this._invalidated_painters=new Set,this._invalidate_all=!0}get is_paused(){return null!=this._is_paused&&0!==this._is_paused}get child_models(){return[]}pause(){null==this._is_paused?this._is_paused=1:this._is_paused+=1}unpause(t=!1){if(null==this._is_paused)throw new Error(\"wasn't paused\");this._is_paused-=1,0!=this._is_paused||t||this.request_paint()}request_render(){this.request_paint()}request_paint(t){if(null!=t?this._invalidated_painters.add(t):this._invalidate_all=!0,!this.is_paused){const t=this.throttled_paint();this._ready=this._ready.then(()=>t)}}request_layout(){this._needs_layout=!0,this.request_paint()}reset(){\"standard\"==this.model.reset_policy&&(this.clear_state(),this.reset_range(),this.reset_selection()),this.model.trigger_event(new u.Reset)}remove(){this.ui_event_bus.destroy(),p.remove_views(this.renderer_views),p.remove_views(this.tool_views),this.canvas_view.remove(),super.remove()}render(){super.render(),this.el.appendChild(this.canvas_view.el),this.canvas_view.render()}initialize(){this.pause(),super.initialize(),this.state_changed=new c.Signal0(this,\"state_changed\"),this.lod_started=!1,this.visuals=new m.Visuals(this.model),this._initial_state_info={selection:new Map,dimensions:{width:0,height:0}},this.visibility_callbacks=[],this.state={history:[],index:-1};const{hidpi:t,output_backend:e}=this.model;this.canvas=new a.Canvas({hidpi:t,output_backend:e}),this.frame=new n.CartesianFrame(this.model.x_scale,this.model.y_scale,this.model.x_range,this.model.y_range,this.model.extra_x_ranges,this.model.extra_y_ranges),this.throttled_paint=b.throttle(()=>this.repaint(),1e3/60);const{title_location:i,title:s}=this.model;null!=i&&null!=s&&(this._title=s instanceof h.Title?s:new h.Title({text:s}));const{toolbar_location:o,toolbar:l}=this.model;null!=o&&null!=l&&(this._toolbar=new d.ToolbarPanel({toolbar:l}),l.toolbar_location=o),this.renderer_views=new Map,this.tool_views=new Map}async lazy_initialize(){this.canvas_view=await p.build_view(this.canvas,{parent:this}),this.ui_event_bus=new g.UIEvents(this,this.model.toolbar,this.canvas_view.events_el),await this.build_renderer_views(),await this.build_tool_views(),this.update_dataranges(),this.unpause(!0),f.logger.debug(\"PlotView initialized\")}_width_policy(){return null==this.model.frame_width?super._width_policy():\"min\"}_height_policy(){return null==this.model.frame_height?super._height_policy():\"min\"}_update_layout(){this.layout=new j,this.layout.set_sizing(this.box_sizing());const{frame_width:t,frame_height:e}=this.model;this.layout.center_panel=this.frame,this.layout.center_panel.set_sizing(Object.assign(Object.assign({},null!=t?{width_policy:\"fixed\",width:t}:{width_policy:\"fit\"}),null!=e?{height_policy:\"fixed\",height:e}:{height_policy:\"fit\"}));const i=v.copy(this.model.above),s=v.copy(this.model.below),n=v.copy(this.model.left),a=v.copy(this.model.right),o=t=>{switch(t){case\"above\":return i;case\"below\":return s;case\"left\":return n;case\"right\":return a}},{title_location:l,title:r}=this.model;null!=l&&null!=r&&o(l).push(this._title);const{toolbar_location:_,toolbar:u}=this.model;if(null!=_&&null!=u){const t=o(_);let e=!0;if(this.model.toolbar_sticky)for(let i=0;i{const i=this.renderer_views.get(e);return i.layout=new M.SidePanel(t,i)},p=(t,e)=>{const i=\"above\"==t||\"below\"==t,s=[];for(const n of e)if(w.isArray(n)){const e=n.map(e=>{const s=c(t,e);if(e instanceof d.ToolbarPanel){const t=i?\"width_policy\":\"height_policy\";s.set_sizing(Object.assign(Object.assign({},s.sizing),{[t]:\"min\"}))}return s});let a;i?(a=new k.Row(e),a.set_sizing({width_policy:\"max\",height_policy:\"min\"})):(a=new k.Column(e),a.set_sizing({width_policy:\"min\",height_policy:\"max\"})),a.absolute=!0,s.push(a)}else s.push(c(t,n));return s},g=null!=this.model.min_border?this.model.min_border:0;this.layout.min_border={left:null!=this.model.min_border_left?this.model.min_border_left:g,top:null!=this.model.min_border_top?this.model.min_border_top:g,right:null!=this.model.min_border_right?this.model.min_border_right:g,bottom:null!=this.model.min_border_bottom?this.model.min_border_bottom:g};const m=new z.VStack,f=new z.VStack,b=new z.HStack,y=new z.HStack;m.children=v.reversed(p(\"above\",i)),f.children=p(\"below\",s),b.children=v.reversed(p(\"left\",n)),y.children=p(\"right\",a),m.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),f.set_sizing({width_policy:\"fit\",height_policy:\"min\"}),b.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),y.set_sizing({width_policy:\"min\",height_policy:\"fit\"}),this.layout.top_panel=m,this.layout.bottom_panel=f,this.layout.left_panel=b,this.layout.right_panel=y}get axis_views(){const t=[];for(const[,e]of this.renderer_views)e instanceof _.AxisView&&t.push(e);return t}set_cursor(t=\"default\"){this.canvas_view.el.style.cursor=t}set_toolbar_visibility(t){for(const e of this.visibility_callbacks)e(t)}update_dataranges(){const t=new Map,e=new Map;let i=!1;for(const t of y.values(this.frame.x_ranges).concat(y.values(this.frame.y_ranges)))t instanceof o.DataRange1d&&\"log\"==t.scale_hint&&(i=!0);for(const[s,n]of this.renderer_views)if(n instanceof l.GlyphRendererView){const a=n.glyph.bounds();if(null!=a&&t.set(s,a),i){const t=n.glyph.log_bounds();null!=t&&e.set(s,t)}}let s=!1,n=!1;const{width:a,height:r}=this.frame.bbox;let h;!1!==this.model.match_aspect&&0!=a&&0!=r&&(h=1/this.model.aspect_scale*(a/r));for(const i of y.values(this.frame.x_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,0,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}for(const i of y.values(this.frame.y_ranges)){if(i instanceof o.DataRange1d){const n=\"log\"==i.scale_hint?e:t;i.update(n,1,this.model,h),i.follow&&(s=!0)}null!=i.bounds&&(n=!0)}if(s&&n){f.logger.warn(\"Follow enabled so bounds are unset.\");for(const t of y.values(this.frame.x_ranges))t.bounds=null;for(const t of y.values(this.frame.y_ranges))t.bounds=null}this.range_update_timestamp=Date.now()}map_to_screen(t,e,i=\"default\",s=\"default\"){return this.frame.map_to_screen(t,e,i,s)}push_state(t,e){const{history:i,index:s}=this.state,n=null!=i[s]?i[s].info:{},a=Object.assign(Object.assign(Object.assign({},this._initial_state_info),n),e);this.state.history=this.state.history.slice(0,this.state.index+1),this.state.history.push({type:t,info:a}),this.state.index=this.state.history.length-1,this.state_changed.emit()}clear_state(){this.state={history:[],index:-1},this.state_changed.emit()}can_undo(){return this.state.index>=0}can_redo(){return this.state.index=a.end&&(n=!0,a.end=t,(e||i)&&(a.start=t+l)),null!=o&&o<=a.start&&(n=!0,a.start=o,(e||i)&&(a.end=o-l))):(null!=t&&t>=a.start&&(n=!0,a.start=t,(e||i)&&(a.end=t+l)),null!=o&&o<=a.end&&(n=!0,a.end=o,(e||i)&&(a.start=o-l)))}}if(!(i&&n&&s))for(const[e,i]of t)e.have_updated_interactively=!0,e.start==i.start&&e.end==i.end||e.setv(i)}_get_weight_to_constrain_interval(t,e){const{min_interval:i}=t;let{max_interval:s}=t;if(null!=t.bounds&&\"auto\"!=t.bounds){const[e,i]=t.bounds;if(null!=e&&null!=i){const t=Math.abs(i-e);s=null!=s?Math.min(s,t):t}}let n=1;if(null!=i||null!=s){const a=Math.abs(t.end-t.start),o=Math.abs(e.end-e.start);i>0&&o0&&o>s&&(n=(s-a)/(o-a)),n=Math.max(0,Math.min(1,n))}return n}update_range(t,e=!1,i=!1,s=!0){this.pause();const{x_ranges:n,y_ranges:a}=this.frame;if(null==t){for(const t in n){n[t].reset()}for(const t in a){a[t].reset()}this.update_dataranges()}else{const o=[];for(const e in n){const i=n[e];o.push([i,t.xrs[e]])}for(const e in a){const i=a[e];o.push([i,t.yrs[e]])}i&&this._update_ranges_together(o),this._update_ranges_individually(o,e,i,s)}this.unpause()}reset_range(){this.update_range(null)}_invalidate_layout(){(()=>{for(const t of this.model.side_panels){if(this.renderer_views.get(t).layout.has_size_changed())return!0}return!1})()&&this.root.compute_layout()}get_renderer_views(){return this.computed_renderers.map(t=>this.renderer_views.get(t))}async build_renderer_views(){this.computed_renderers=[];const{above:t,below:e,left:i,right:s,center:n,renderers:a}=this.model;this.computed_renderers.push(...t,...e,...i,...s,...n,...a),null!=this._title&&this.computed_renderers.push(this._title),null!=this._toolbar&&this.computed_renderers.push(this._toolbar);for(const t of this.model.toolbar.tools)null!=t.overlay&&this.computed_renderers.push(t.overlay),this.computed_renderers.push(...t.synthetic_renderers);await p.build_views(this.renderer_views,this.computed_renderers,{parent:this})}async build_tool_views(){const t=this.model.toolbar.tools;(await p.build_views(this.tool_views,t,{parent:this})).map(t=>this.ui_event_bus.register_tool(t))}connect_signals(){super.connect_signals();const{x_ranges:t,y_ranges:e}=this.frame;for(const e in t){const i=t[e];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}for(const t in e){const i=e[t];this.connect(i.change,()=>{this._needs_layout=!0,this.request_paint()})}const{plot_width:i,plot_height:s}=this.model.properties;this.on_change([i,s],()=>this.invalidate_layout());const{above:n,below:a,left:o,right:l,center:r,renderers:h}=this.model.properties;this.on_change([n,a,o,l,r,h],async()=>await this.build_renderer_views()),this.connect(this.model.toolbar.properties.tools.change,async()=>{await this.build_renderer_views(),await this.build_tool_views()}),this.connect(this.model.change,()=>this.request_paint()),this.connect(this.model.reset,()=>this.reset())}set_initial_range(){let t=!0;const{x_ranges:e,y_ranges:i}=this.frame,s={},n={};for(const i in e){const{start:n,end:a}=e[i];if(null==n||null==a||isNaN(n+a)){t=!1;break}s[i]={start:n,end:a}}if(t)for(const e in i){const{start:s,end:a}=i[e];if(null==s||null==a||isNaN(s+a)){t=!1;break}n[e]={start:s,end:a}}t?(this._initial_state_info.range={xrs:s,yrs:n},f.logger.debug(\"initial ranges set\")):f.logger.warn(\"could not set initial ranges\")}has_finished(){if(!super.has_finished())return!1;for(const[,t]of this.renderer_views)if(!t.has_finished())return!1;return!0}after_layout(){if(super.after_layout(),this._needs_layout=!1,this.model.setv({inner_width:Math.round(this.frame._width.value),inner_height:Math.round(this.frame._height.value),outer_width:Math.round(this.layout._width.value),outer_height:Math.round(this.layout._height.value)},{no_change:!0}),!1!==this.model.match_aspect&&(this.pause(),this.update_dataranges(),this.unpause(!0)),!this._outer_bbox.equals(this.layout.bbox)){const{width:t,height:e}=this.layout.bbox;this.canvas_view.resize(t,e),this._outer_bbox=this.layout.bbox,this._invalidate_all=!0,this._needs_paint=!0}this._inner_bbox.equals(this.frame.inner_bbox)||(this._inner_bbox=this.layout.inner_bbox,this._needs_paint=!0),this._needs_paint&&(this._needs_paint=!1,this.paint())}repaint(){this._needs_layout&&this._invalidate_layout(),this.paint()}paint(){if(this.is_paused)return;f.logger.trace(\"PlotView.paint() for \"+this.model.id);const{document:t}=this.model;if(null!=t){const e=t.interactive_duration();e>=0&&e{t.interactive_duration()>this.model.lod_timeout&&t.interactive_stop(this.model),this.request_paint()},this.model.lod_timeout):t.interactive_stop(this.model)}for(const[,t]of this.renderer_views)if(null==this.range_update_timestamp||t instanceof l.GlyphRendererView&&t.set_data_timestamp>this.range_update_timestamp){this.update_dataranges();break}let e=!1,i=!1;if(this._invalidate_all)e=!0,i=!0;else for(const t of this._invalidated_painters){const{level:s}=t.model;if(\"overlay\"!=s?e=!0:i=!0,e&&i)break}this._invalidated_painters.clear(),this._invalidate_all=!1;const s=[this.frame._left.value,this.frame._top.value,this.frame._width.value,this.frame._height.value],{primary:n,overlays:a}=this.canvas_view;e&&(n.prepare(),this.canvas_view.prepare_webgl(s),this.canvas_view.clear_webgl(),this._map_hook(n.ctx,s),this._paint_empty(n.ctx,s),this._paint_outline(n.ctx,s),this._paint_levels(n.ctx,\"image\",s,!0),this._paint_levels(n.ctx,\"underlay\",s,!0),this._paint_levels(n.ctx,\"glyph\",s,!0),this._paint_levels(n.ctx,\"guide\",s,!1),this._paint_levels(n.ctx,\"annotation\",s,!1),n.finish()),i&&(a.prepare(),this._paint_levels(a.ctx,\"overlay\",s,!1),a.finish()),null==this._initial_state_info.range&&this.set_initial_range()}_paint_levels(t,e,i,s){for(const n of this.computed_renderers){if(n.level!=e)continue;const a=this.renderer_views.get(n);t.save(),(s||a.needs_clip)&&(t.beginPath(),t.rect(...i),t.clip()),a.render(),t.restore(),a.has_webgl&&(this.canvas_view.blit_webgl(t),this.canvas_view.clear_webgl())}}_map_hook(t,e){}_paint_empty(t,e){const[i,s,n,a]=[0,0,this.layout._width.value,this.layout._height.value],[o,l,r,h]=e;this.visuals.border_fill.doit&&(this.visuals.border_fill.set_value(t),t.fillRect(i,s,n,a),t.clearRect(o,l,r,h)),this.visuals.background_fill.doit&&(this.visuals.background_fill.set_value(t),t.fillRect(o,l,r,h))}_paint_outline(t,e){if(this.visuals.outline_line.doit){t.save(),this.visuals.outline_line.set_value(t);let[i,s,n,a]=e;i+n==this.layout._width.value&&(n-=1),s+a==this.layout._height.value&&(a-=1),t.strokeRect(i,s,n,a),t.restore()}}save(t){this.canvas_view.save(t)}serializable_state(){const t=super.serializable_state(),{children:e}=t,i=s(t,[\"children\"]),n=this.get_renderer_views().map(t=>t.serializable_state()).filter(t=>\"bbox\"in t);return Object.assign(Object.assign({},i),{children:[...e,...n]})}}i.PlotView=P,P.__name__=\"PlotView\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});var n=this&&this.__decorate||function(e,t,s,n){var _,a=arguments.length,o=a<3?t:null===n?n=Object.getOwnPropertyDescriptor(t,s):n;if(\"object\"==typeof Reflect&&\"function\"==typeof Reflect.decorate)o=Reflect.decorate(e,t,s,n);else for(var r=e.length-1;r>=0;r--)(_=e[r])&&(o=(a<3?_(o):a>3?_(t,s,o):_(t,s))||o);return a>3&&o&&Object.defineProperty(t,s,o),o};function _(e){return function(t){t.prototype.event_name=e}}class a{constructor(){this.origin=null}to_json(){const{event_name:e}=this;return{event_name:e,event_values:this._to_json()}}_to_json(){return{model:this.origin}}}s.BokehEvent=a,a.__name__=\"BokehEvent\";let o=class extends a{};s.ButtonClick=o,o.__name__=\"ButtonClick\",s.ButtonClick=o=n([_(\"button_click\")],o);let r=class extends a{constructor(e){super(),this.item=e}_to_json(){const{item:e}=this;return Object.assign(Object.assign({},super._to_json()),{item:e})}};s.MenuItemClick=r,r.__name__=\"MenuItemClick\",s.MenuItemClick=r=n([_(\"menu_item_click\")],r);class c extends a{}s.UIEvent=c,c.__name__=\"UIEvent\";let i=class extends c{};s.LODStart=i,i.__name__=\"LODStart\",s.LODStart=i=n([_(\"lodstart\")],i);let l=class extends c{};s.LODEnd=l,l.__name__=\"LODEnd\",s.LODEnd=l=n([_(\"lodend\")],l);let u=class extends c{constructor(e,t){super(),this.geometry=e,this.final=t}_to_json(){const{geometry:e,final:t}=this;return Object.assign(Object.assign({},super._to_json()),{geometry:e,final:t})}};s.SelectionGeometry=u,u.__name__=\"SelectionGeometry\",s.SelectionGeometry=u=n([_(\"selectiongeometry\")],u);let h=class extends c{};s.Reset=h,h.__name__=\"Reset\",s.Reset=h=n([_(\"reset\")],h);class d extends c{constructor(e,t,s,n){super(),this.sx=e,this.sy=t,this.x=s,this.y=n}_to_json(){const{sx:e,sy:t,x:s,y:n}=this;return Object.assign(Object.assign({},super._to_json()),{sx:e,sy:t,x:s,y:n})}}s.PointEvent=d,d.__name__=\"PointEvent\";let m=class extends d{constructor(e,t,s,n,_,a){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta_x=_,this.delta_y=a}_to_json(){const{delta_x:e,delta_y:t}=this;return Object.assign(Object.assign({},super._to_json()),{delta_x:e,delta_y:t})}};s.Pan=m,m.__name__=\"Pan\",s.Pan=m=n([_(\"pan\")],m);let p=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.scale=_}_to_json(){const{scale:e}=this;return Object.assign(Object.assign({},super._to_json()),{scale:e})}};s.Pinch=p,p.__name__=\"Pinch\",s.Pinch=p=n([_(\"pinch\")],p);let x=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.rotation=_}_to_json(){const{rotation:e}=this;return Object.assign(Object.assign({},super._to_json()),{rotation:e})}};s.Rotate=x,x.__name__=\"Rotate\",s.Rotate=x=n([_(\"rotate\")],x);let j=class extends d{constructor(e,t,s,n,_){super(e,t,s,n),this.sx=e,this.sy=t,this.x=s,this.y=n,this.delta=_}_to_json(){const{delta:e}=this;return Object.assign(Object.assign({},super._to_json()),{delta:e})}};s.MouseWheel=j,j.__name__=\"MouseWheel\",s.MouseWheel=j=n([_(\"wheel\")],j);let y=class extends d{};s.MouseMove=y,y.__name__=\"MouseMove\",s.MouseMove=y=n([_(\"mousemove\")],y);let P=class extends d{};s.MouseEnter=P,P.__name__=\"MouseEnter\",s.MouseEnter=P=n([_(\"mouseenter\")],P);let O=class extends d{};s.MouseLeave=O,O.__name__=\"MouseLeave\",s.MouseLeave=O=n([_(\"mouseleave\")],O);let b=class extends d{};s.Tap=b,b.__name__=\"Tap\",s.Tap=b=n([_(\"tap\")],b);let g=class extends d{};s.DoubleTap=g,g.__name__=\"DoubleTap\",s.DoubleTap=g=n([_(\"doubletap\")],g);let v=class extends d{};s.Press=v,v.__name__=\"Press\",s.Press=v=n([_(\"press\")],v);let E=class extends d{};s.PressUp=E,E.__name__=\"PressUp\",s.PressUp=E=n([_(\"pressup\")],E);let M=class extends d{};s.PanStart=M,M.__name__=\"PanStart\",s.PanStart=M=n([_(\"panstart\")],M);let f=class extends d{};s.PanEnd=f,f.__name__=\"PanEnd\",s.PanEnd=f=n([_(\"panend\")],f);let R=class extends d{};s.PinchStart=R,R.__name__=\"PinchStart\",s.PinchStart=R=n([_(\"pinchstart\")],R);let S=class extends d{};s.PinchEnd=S,S.__name__=\"PinchEnd\",s.PinchEnd=S=n([_(\"pinchend\")],S);let k=class extends d{};s.RotateStart=k,k.__name__=\"RotateStart\",s.RotateStart=k=n([_(\"rotatestart\")],k);let D=class extends d{};s.RotateEnd=D,D.__name__=\"RotateEnd\",s.RotateEnd=D=n([_(\"rotateend\")],D)},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),i=n.__importDefault(t(276)),r=t(14),a=t(72),h=t(68),_=t(293),o=t(9),c=t(8),l=t(28),p=n.__importStar(t(291)),u=t(281);class d{constructor(t,e,s){this.plot_view=t,this.toolbar=e,this.hit_area=s,this.pan_start=new r.Signal(this,\"pan:start\"),this.pan=new r.Signal(this,\"pan\"),this.pan_end=new r.Signal(this,\"pan:end\"),this.pinch_start=new r.Signal(this,\"pinch:start\"),this.pinch=new r.Signal(this,\"pinch\"),this.pinch_end=new r.Signal(this,\"pinch:end\"),this.rotate_start=new r.Signal(this,\"rotate:start\"),this.rotate=new r.Signal(this,\"rotate\"),this.rotate_end=new r.Signal(this,\"rotate:end\"),this.tap=new r.Signal(this,\"tap\"),this.doubletap=new r.Signal(this,\"doubletap\"),this.press=new r.Signal(this,\"press\"),this.pressup=new r.Signal(this,\"pressup\"),this.move_enter=new r.Signal(this,\"move:enter\"),this.move=new r.Signal(this,\"move\"),this.move_exit=new r.Signal(this,\"move:exit\"),this.scroll=new r.Signal(this,\"scroll\"),this.keydown=new r.Signal(this,\"keydown\"),this.keyup=new r.Signal(this,\"keyup\"),this.hammer=new i.default(this.hit_area,{touchAction:\"auto\",inputClass:i.default.TouchMouseInput}),this._configure_hammerjs(),this.hit_area.addEventListener(\"mousemove\",t=>this._mouse_move(t)),this.hit_area.addEventListener(\"mouseenter\",t=>this._mouse_enter(t)),this.hit_area.addEventListener(\"mouseleave\",t=>this._mouse_exit(t)),this.hit_area.addEventListener(\"contextmenu\",t=>this._context_menu(t)),this.hit_area.addEventListener(\"wheel\",t=>this._mouse_wheel(t)),document.addEventListener(\"keydown\",this),document.addEventListener(\"keyup\",this),this.menu=new u.ContextMenu([],{prevent_hide:t=>2==t.button&&t.target==this.hit_area}),this.hit_area.appendChild(this.menu.el)}destroy(){this.menu.remove(),this.hammer.destroy(),document.removeEventListener(\"keydown\",this),document.removeEventListener(\"keyup\",this)}handleEvent(t){\"keydown\"==t.type?this._key_down(t):\"keyup\"==t.type&&this._key_up(t)}_configure_hammerjs(){this.hammer.get(\"doubletap\").recognizeWith(\"tap\"),this.hammer.get(\"tap\").requireFailure(\"doubletap\"),this.hammer.get(\"doubletap\").dropRequireFailure(\"tap\"),this.hammer.on(\"doubletap\",t=>this._doubletap(t)),this.hammer.on(\"tap\",t=>this._tap(t)),this.hammer.on(\"press\",t=>this._press(t)),this.hammer.on(\"pressup\",t=>this._pressup(t)),this.hammer.get(\"pan\").set({direction:i.default.DIRECTION_ALL}),this.hammer.on(\"panstart\",t=>this._pan_start(t)),this.hammer.on(\"pan\",t=>this._pan(t)),this.hammer.on(\"panend\",t=>this._pan_end(t)),this.hammer.get(\"pinch\").set({enable:!0}),this.hammer.on(\"pinchstart\",t=>this._pinch_start(t)),this.hammer.on(\"pinch\",t=>this._pinch(t)),this.hammer.on(\"pinchend\",t=>this._pinch_end(t)),this.hammer.get(\"rotate\").set({enable:!0}),this.hammer.on(\"rotatestart\",t=>this._rotate_start(t)),this.hammer.on(\"rotate\",t=>this._rotate(t)),this.hammer.on(\"rotateend\",t=>this._rotate_end(t))}register_tool(t){const e=t.model.event_type;null!=e&&(c.isString(e)?this._register_tool(t,e):e.forEach((e,s)=>this._register_tool(t,e,s<1)))}_register_tool(t,e,s=!0){const n=t,{id:i}=n.model,r=t=>e=>{e.id==i&&t(e.e)},h=t=>e=>{t(e.e)};switch(e){case\"pan\":null!=n._pan_start&&n.connect(this.pan_start,r(n._pan_start.bind(n))),null!=n._pan&&n.connect(this.pan,r(n._pan.bind(n))),null!=n._pan_end&&n.connect(this.pan_end,r(n._pan_end.bind(n)));break;case\"pinch\":null!=n._pinch_start&&n.connect(this.pinch_start,r(n._pinch_start.bind(n))),null!=n._pinch&&n.connect(this.pinch,r(n._pinch.bind(n))),null!=n._pinch_end&&n.connect(this.pinch_end,r(n._pinch_end.bind(n)));break;case\"rotate\":null!=n._rotate_start&&n.connect(this.rotate_start,r(n._rotate_start.bind(n))),null!=n._rotate&&n.connect(this.rotate,r(n._rotate.bind(n))),null!=n._rotate_end&&n.connect(this.rotate_end,r(n._rotate_end.bind(n)));break;case\"move\":null!=n._move_enter&&n.connect(this.move_enter,r(n._move_enter.bind(n))),null!=n._move&&n.connect(this.move,r(n._move.bind(n))),null!=n._move_exit&&n.connect(this.move_exit,r(n._move_exit.bind(n)));break;case\"tap\":null!=n._tap&&n.connect(this.tap,r(n._tap.bind(n)));break;case\"press\":null!=n._press&&n.connect(this.press,r(n._press.bind(n))),null!=n._pressup&&n.connect(this.pressup,r(n._pressup.bind(n)));break;case\"scroll\":null!=n._scroll&&n.connect(this.scroll,r(n._scroll.bind(n)));break;default:throw new Error(\"unsupported event_type: \"+e)}s&&(null!=n._doubletap&&n.connect(this.doubletap,h(n._doubletap.bind(n))),null!=n._keydown&&n.connect(this.keydown,h(n._keydown.bind(n))),null!=n._keyup&&n.connect(this.keyup,h(n._keyup.bind(n))),l.is_mobile&&null!=n._scroll&&\"pinch\"==e&&(a.logger.debug(\"Registering scroll on touch screen\"),n.connect(this.scroll,r(n._scroll.bind(n)))))}_hit_test_renderers(t,e){const s=this.plot_view.get_renderer_views();for(const n of o.reversed(s)){const{level:s}=n.model;if((\"annotation\"==s||\"overlay\"==s)&&null!=n.interactive_hit&&n.interactive_hit(t,e))return n}return null}_hit_test_frame(t,e){return this.plot_view.frame.bbox.contains(t,e)}_hit_test_canvas(t,e){return this.plot_view.layout.bbox.contains(t,e)}_trigger(t,e,s){const n=this.toolbar.gestures,i=t.name.split(\":\")[0],r=this._hit_test_renderers(e.sx,e.sy),a=this._hit_test_canvas(e.sx,e.sy);switch(i){case\"move\":{const s=n[i].active;null!=s&&this.trigger(t,e,s.id);const h=this.toolbar.inspectors.filter(t=>t.active);let _=\"default\";null!=r?(_=r.cursor(e.sx,e.sy)||_,o.is_empty(h)||(t=this.move_exit)):this._hit_test_frame(e.sx,e.sy)&&(o.is_empty(h)||(_=\"crosshair\")),this.plot_view.set_cursor(_),this.plot_view.set_toolbar_visibility(a),h.map(s=>this.trigger(t,e,s.id));break}case\"tap\":{const{target:a}=s;if(null!=a&&a!=this.hit_area)return;null!=r&&null!=r.on_hit&&r.on_hit(e.sx,e.sy);const h=n[i].active;null!=h&&this.trigger(t,e,h.id);break}case\"scroll\":{const i=n[l.is_mobile?\"pinch\":\"scroll\"].active;null!=i&&(s.preventDefault(),s.stopPropagation(),this.trigger(t,e,i.id));break}case\"pan\":{const r=n[i].active;null!=r&&(s.preventDefault(),this.trigger(t,e,r.id));break}default:{const s=n[i].active;null!=s&&this.trigger(t,e,s.id)}}this._trigger_bokeh_event(e)}trigger(t,e,s=null){t.emit({id:s,e})}_trigger_bokeh_event(t){const e=(()=>{const e=this.plot_view.frame.xscales.default,s=this.plot_view.frame.yscales.default,{sx:n,sy:i}=t,r=e.invert(n),a=s.invert(i);switch(t.type){case\"wheel\":return new p.MouseWheel(n,i,r,a,t.delta);case\"mousemove\":return new p.MouseMove(n,i,r,a);case\"mouseenter\":return new p.MouseEnter(n,i,r,a);case\"mouseleave\":return new p.MouseLeave(n,i,r,a);case\"tap\":return new p.Tap(n,i,r,a);case\"doubletap\":return new p.DoubleTap(n,i,r,a);case\"press\":return new p.Press(n,i,r,a);case\"pressup\":return new p.PressUp(n,i,r,a);case\"pan\":return new p.Pan(n,i,r,a,t.deltaX,t.deltaY);case\"panstart\":return new p.PanStart(n,i,r,a);case\"panend\":return new p.PanEnd(n,i,r,a);case\"pinch\":return new p.Pinch(n,i,r,a,t.scale);case\"pinchstart\":return new p.PinchStart(n,i,r,a);case\"pinchend\":return new p.PinchEnd(n,i,r,a);case\"rotate\":return new p.Rotate(n,i,r,a,t.rotation);case\"rotatestart\":return new p.RotateStart(n,i,r,a);case\"rotateend\":return new p.RotateEnd(n,i,r,a);default:return}})();null!=e&&this.plot_view.model.trigger_event(e)}_get_sxy(t){const{pageX:e,pageY:s}=function(t){return\"undefined\"!=typeof TouchEvent&&t instanceof TouchEvent}(t)?(0!=t.touches.length?t.touches:t.changedTouches)[0]:t,{left:n,top:i}=h.offset(this.hit_area);return{sx:e-n,sy:s-i}}_pan_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{deltaX:t.deltaX,deltaY:t.deltaY,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_pinch_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{scale:t.scale,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_rotate_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{rotation:t.rotation,shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_tap_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t.srcEvent)),{shiftKey:t.srcEvent.shiftKey,ctrlKey:t.srcEvent.ctrlKey})}_move_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_scroll_event(t){return Object.assign(Object.assign({type:t.type},this._get_sxy(t)),{delta:_.getDeltaY(t),shiftKey:t.shiftKey,ctrlKey:t.ctrlKey})}_key_event(t){return{type:t.type,keyCode:t.keyCode}}_pan_start(t){const e=this._pan_event(t);e.sx-=t.deltaX,e.sy-=t.deltaY,this._trigger(this.pan_start,e,t.srcEvent)}_pan(t){this._trigger(this.pan,this._pan_event(t),t.srcEvent)}_pan_end(t){this._trigger(this.pan_end,this._pan_event(t),t.srcEvent)}_pinch_start(t){this._trigger(this.pinch_start,this._pinch_event(t),t.srcEvent)}_pinch(t){this._trigger(this.pinch,this._pinch_event(t),t.srcEvent)}_pinch_end(t){this._trigger(this.pinch_end,this._pinch_event(t),t.srcEvent)}_rotate_start(t){this._trigger(this.rotate_start,this._rotate_event(t),t.srcEvent)}_rotate(t){this._trigger(this.rotate,this._rotate_event(t),t.srcEvent)}_rotate_end(t){this._trigger(this.rotate_end,this._rotate_event(t),t.srcEvent)}_tap(t){this._trigger(this.tap,this._tap_event(t),t.srcEvent)}_doubletap(t){const e=this._tap_event(t);this._trigger_bokeh_event(e),this.trigger(this.doubletap,e)}_press(t){this._trigger(this.press,this._tap_event(t),t.srcEvent)}_pressup(t){this._trigger(this.pressup,this._tap_event(t),t.srcEvent)}_mouse_enter(t){this._trigger(this.move_enter,this._move_event(t),t)}_mouse_move(t){this._trigger(this.move,this._move_event(t),t)}_mouse_exit(t){this._trigger(this.move_exit,this._move_event(t),t)}_mouse_wheel(t){this._trigger(this.scroll,this._scroll_event(t),t)}_context_menu(t){!this.menu.is_open&&this.menu.can_open&&t.preventDefault();const{sx:e,sy:s}=this._get_sxy(t);this.menu.toggle({left:e,top:s})}_key_down(t){this.trigger(this.keydown,this._key_event(t))}_key_up(t){this.trigger(this.keyup,this._key_event(t))}}s.UIEvents=d,d.__name__=\"UIEvents\"},\n", - " function _(e,t,n){\n", - " /*!\n", - " * jQuery Mousewheel 3.1.13\n", - " *\n", - " * Copyright jQuery Foundation and other contributors\n", - " * Released under the MIT license\n", - " * http://jquery.org/license\n", - " */\n", - " function r(e){const t=getComputedStyle(e).fontSize;return null!=t?parseInt(t,10):null}Object.defineProperty(n,\"__esModule\",{value:!0}),n.getDeltaY=function(e){let t=-e.deltaY;if(e.target instanceof HTMLElement)switch(e.deltaMode){case e.DOM_DELTA_LINE:t*=r((n=e.target).offsetParent||document.body)||r(n)||16;break;case e.DOM_DELTA_PAGE:t*=function(e){return e.clientHeight}(e.target)}var n;return t}},\n", - " function _(n,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=(\"undefined\"!=typeof window?window.requestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.webkitRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.mozRequestAnimationFrame:void 0)||(\"undefined\"!=typeof window?window.msRequestAnimationFrame:void 0)||function(n){return n(Date.now()),-1};o.throttle=function(n,e){let o=null,i=0,u=!1;return function(){return new Promise((d,w)=>{const r=function(){i=Date.now(),o=null,u=!1;try{n(),d()}catch(n){w(n)}},a=Date.now(),f=e-(a-i);f<=0&&!u?(null!=o&&clearTimeout(o),u=!0,t(r)):o||u?d():o=setTimeout(()=>t(r),f)})}}},\n", - " function _(i,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const l=i(189),a=i(190),r=i(8),o=Math.PI/2,h=\"left\",s=\"center\",n={above:{parallel:0,normal:-o,horizontal:0,vertical:-o},below:{parallel:0,normal:o,horizontal:0,vertical:o},left:{parallel:-o,normal:0,horizontal:0,vertical:-o},right:{parallel:o,normal:0,horizontal:0,vertical:o}},d={above:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"alphabetic\",vertical:\"middle\"},below:{justified:\"bottom\",parallel:\"hanging\",normal:\"middle\",horizontal:\"hanging\",vertical:\"middle\"},left:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"},right:{justified:\"top\",parallel:\"alphabetic\",normal:\"middle\",horizontal:\"middle\",vertical:\"alphabetic\"}},_={above:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},below:{justified:s,parallel:s,normal:h,horizontal:s,vertical:h},left:{justified:s,parallel:s,normal:\"right\",horizontal:\"right\",vertical:s},right:{justified:s,parallel:s,normal:h,horizontal:h,vertical:s}},c={above:\"right\",below:h,left:\"right\",right:h},m={above:h,below:\"right\",left:\"right\",right:h};class g extends a.ContentLayoutable{constructor(i,t){switch(super(),this.side=i,this.obj=t,this.side){case\"above\":this._dim=0,this._normals=[0,-1];break;case\"below\":this._dim=0,this._normals=[0,1];break;case\"left\":this._dim=1,this._normals=[-1,0];break;case\"right\":this._dim=1,this._normals=[1,0]}this.is_horizontal?this.set_sizing({width_policy:\"max\",height_policy:\"fixed\"}):this.set_sizing({width_policy:\"fixed\",height_policy:\"max\"})}_content_size(){return new l.Sizeable(this.get_oriented_size())}get_oriented_size(){const{width:i,height:t}=this.obj.get_size();return!this.obj.rotate||this.is_horizontal?{width:i,height:t}:{width:t,height:i}}has_size_changed(){const{width:i,height:t}=this.get_oriented_size();return this.is_horizontal?this.bbox.height!=t:this.bbox.width!=i}get dimension(){return this._dim}get normals(){return this._normals}get is_horizontal(){return 0==this._dim}get is_vertical(){return 1==this._dim}apply_label_text_heuristics(i,t){const e=this.side;let l,a;r.isString(t)?(l=d[e][t],a=_[e][t]):t<0?(l=\"middle\",a=c[e]):(l=\"middle\",a=m[e]),i.textBaseline=l,i.textAlign=a}get_label_angle_heuristic(i){return n[this.side][i]}}e.SidePanel=g,g.__name__=\"SidePanel\"},\n", - " function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(14),o=t(68),a=t(32),n=t(290),p=new i.Signal0({},\"gmaps_ready\");class l extends n.PlotView{initialize(){this.pause(),super.initialize(),this._tiles_loaded=!1,this.zoom_count=0;const{zoom:t,lat:e,lng:s}=this.model.map_options;if(this.initial_zoom=t,this.initial_lat=e,this.initial_lng=s,\"undefined\"==typeof google||null==google.maps){if(void 0===window._bokeh_gmaps_callback){!function(t){window._bokeh_gmaps_callback=()=>p.emit();const e=document.createElement(\"script\");e.type=\"text/javascript\",e.src=`https://maps.googleapis.com/maps/api/js?v=3.36&key=${t}&callback=_bokeh_gmaps_callback`,document.body.appendChild(e)}(atob(this.model.api_key))}p.connect(()=>this.request_render())}this.unpause()}remove(){o.remove(this.map_el),super.remove()}update_range(t){if(null==t)this.map.setCenter({lat:this.initial_lat,lng:this.initial_lng}),this.map.setOptions({zoom:this.initial_zoom}),super.update_range(null);else if(null!=t.sdx||null!=t.sdy)this.map.panBy(t.sdx||0,t.sdy||0),super.update_range(t);else if(null!=t.factor){if(10!==this.zoom_count)return void(this.zoom_count+=1);this.zoom_count=0,this.pause(),super.update_range(t);const e=t.factor<0?-1:1,s=this.map.getZoom(),i=s+e;if(i>=2){this.map.setZoom(i);const[t,e,,]=this._get_projected_bounds();e-t<0&&this.map.setZoom(s)}this.unpause()}this._set_bokeh_ranges()}_build_map(){const{maps:t}=google;this.map_types={satellite:t.MapTypeId.SATELLITE,terrain:t.MapTypeId.TERRAIN,roadmap:t.MapTypeId.ROADMAP,hybrid:t.MapTypeId.HYBRID};const e=this.model.map_options,s={center:new t.LatLng(e.lat,e.lng),zoom:e.zoom,disableDefaultUI:!0,mapTypeId:this.map_types[e.map_type],scaleControl:e.scale_control,tilt:e.tilt};null!=e.styles&&(s.styles=JSON.parse(e.styles)),this.map_el=o.div({style:{position:\"absolute\"}}),this.canvas_view.add_underlay(this.map_el),this.map=new t.Map(this.map_el,s),t.event.addListener(this.map,\"idle\",()=>this._set_bokeh_ranges()),t.event.addListener(this.map,\"bounds_changed\",()=>this._set_bokeh_ranges()),t.event.addListenerOnce(this.map,\"tilesloaded\",()=>this._render_finished()),this.connect(this.model.properties.map_options.change,()=>this._update_options()),this.connect(this.model.map_options.properties.styles.change,()=>this._update_styles()),this.connect(this.model.map_options.properties.lat.change,()=>this._update_center(\"lat\")),this.connect(this.model.map_options.properties.lng.change,()=>this._update_center(\"lng\")),this.connect(this.model.map_options.properties.zoom.change,()=>this._update_zoom()),this.connect(this.model.map_options.properties.map_type.change,()=>this._update_map_type()),this.connect(this.model.map_options.properties.scale_control.change,()=>this._update_scale_control()),this.connect(this.model.map_options.properties.tilt.change,()=>this._update_tilt())}_render_finished(){this._tiles_loaded=!0,this.notify_finished()}has_finished(){return super.has_finished()&&!0===this._tiles_loaded}_get_latlon_bounds(){const t=this.map.getBounds(),e=t.getNorthEast(),s=t.getSouthWest();return[s.lng(),e.lng(),s.lat(),e.lat()]}_get_projected_bounds(){const[t,e,s,i]=this._get_latlon_bounds(),[o,n]=a.wgs84_mercator.forward([t,s]),[p,l]=a.wgs84_mercator.forward([e,i]);return[o,p,n,l]}_set_bokeh_ranges(){const[t,e,s,i]=this._get_projected_bounds();this.frame.x_range.setv({start:t,end:e}),this.frame.y_range.setv({start:s,end:i})}_update_center(t){const e=this.map.getCenter().toJSON();e[t]=this.model.map_options[t],this.map.setCenter(e),this._set_bokeh_ranges()}_update_map_type(){this.map.setOptions({mapTypeId:this.map_types[this.model.map_options.map_type]})}_update_scale_control(){this.map.setOptions({scaleControl:this.model.map_options.scale_control})}_update_tilt(){this.map.setOptions({tilt:this.model.map_options.tilt})}_update_options(){this._update_styles(),this._update_center(\"lat\"),this._update_center(\"lng\"),this._update_zoom(),this._update_map_type()}_update_styles(){this.map.setOptions({styles:JSON.parse(this.model.map_options.styles)})}_update_zoom(){this.map.setOptions({zoom:this.model.map_options.zoom}),this._set_bokeh_ranges()}_map_hook(t,e){if(null==this.map&&\"undefined\"!=typeof google&&null!=google.maps&&this._build_map(),null!=this.map_el){const[t,s,i,o]=e;this.map_el.style.top=s+\"px\",this.map_el.style.left=t+\"px\",this.map_el.style.width=i+\"px\",this.map_el.style.height=o+\"px\"}}_paint_empty(t,e){const s=this.layout._width.value,i=this.layout._height.value,[o,a,n,p]=e;t.clearRect(0,0,s,i),t.beginPath(),t.moveTo(0,0),t.lineTo(0,i),t.lineTo(s,i),t.lineTo(s,0),t.lineTo(0,0),t.moveTo(o,a),t.lineTo(o+n,a),t.lineTo(o+n,a+p),t.lineTo(o,a+p),t.lineTo(o,a),t.closePath(),null!=this.model.border_fill_color&&(t.fillStyle=this.model.border_fill_color,t.fill())}}s.GMapPlotView=l,l.__name__=\"GMapPlotView\"},\n", - " function _(a,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});var g=a(187);n.DataRange=g.DataRange;var R=a(186);n.DataRange1d=R.DataRange1d;var r=a(90);n.FactorRange=r.FactorRange;var t=a(91);n.Range=t.Range;var d=a(131);n.Range1d=d.Range1d},\n", - " function _(e,r,d){Object.defineProperty(d,\"__esModule\",{value:!0});var n=e(81);d.GlyphRenderer=n.GlyphRenderer;var R=e(100);d.GraphRenderer=R.GraphRenderer;var a=e(151);d.GuideRenderer=a.GuideRenderer;var G=e(65);d.Renderer=G.Renderer},\n", - " function _(a,e,c){Object.defineProperty(c,\"__esModule\",{value:!0});var l=a(185);c.CategoricalScale=l.CategoricalScale;var o=a(121);c.ContinuousScale=o.ContinuousScale;var r=a(120);c.LinearScale=r.LinearScale;var S=a(130);c.LogScale=S.LogScale;var n=a(122);c.Scale=n.Scale},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),e(1).__exportStar(e(102),o);var n=e(79);o.Selection=n.Selection},\n", - " function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});var o=a(302);r.ServerSentDataSource=o.ServerSentDataSource;var S=a(304);r.AjaxDataSource=S.AjaxDataSource;var u=a(76);r.ColumnDataSource=u.ColumnDataSource;var t=a(77);r.ColumnarDataSource=t.ColumnarDataSource;var c=a(98);r.CDSView=c.CDSView;var D=a(78);r.DataSource=D.DataSource;var v=a(305);r.GeoJSONDataSource=v.GeoJSONDataSource;var n=a(303);r.WebDataSource=n.WebDataSource},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const a=e(303);class s extends a.WebDataSource{constructor(e){super(e),this.initialized=!1}destroy(){super.destroy()}setup(){if(!this.initialized){this.initialized=!0,new EventSource(this.data_url).onmessage=e=>{this.load_data(JSON.parse(e.data),this.mode,this.max_size)}}}}i.ServerSentDataSource=s,s.__name__=\"ServerSentDataSource\"},\n", - " function _(e,t,a){Object.defineProperty(a,\"__esModule\",{value:!0});const r=e(1),s=e(76),i=r.__importStar(e(18));class n extends s.ColumnDataSource{constructor(e){super(e)}get_column(e){const t=this.data[e];return null!=t?t:[]}initialize(){super.initialize(),this.setup()}load_data(e,t,a){const{adapter:r}=this;let s;switch(s=null!=r?r.execute(this,{response:e}):e,t){case\"replace\":this.data=s;break;case\"append\":{const e=this.data;for(const t of this.columns()){const r=Array.from(e[t]),i=Array.from(s[t]);s[t]=r.concat(i).slice(-a)}this.data=s;break}}}static init_WebDataSource(){this.define({mode:[i.UpdateMode,\"replace\"],max_size:[i.Number],adapter:[i.Any,null],data_url:[i.String]})}}a.WebDataSource=n,n.__name__=\"WebDataSource\",n.init_WebDataSource()},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=t(1),a=t(303),r=t(72),o=s.__importStar(t(18));class n extends a.WebDataSource{constructor(t){super(t),this.initialized=!1}static init_AjaxDataSource(){this.define({polling_interval:[o.Number],content_type:[o.String,\"application/json\"],http_headers:[o.Any,{}],method:[o.HTTPMethod,\"POST\"],if_modified:[o.Boolean,!1]})}destroy(){null!=this.interval&&clearInterval(this.interval),super.destroy()}setup(){if(!this.initialized&&(this.initialized=!0,this.get_data(this.mode),this.polling_interval)){const t=()=>this.get_data(this.mode,this.max_size,this.if_modified);this.interval=setInterval(t,this.polling_interval)}}get_data(t,e=0,i=!1){const s=this.prepare_request();s.addEventListener(\"load\",()=>this.do_load(s,t,e)),s.addEventListener(\"error\",()=>this.do_error(s)),s.send()}prepare_request(){const t=new XMLHttpRequest;t.open(this.method,this.data_url,!0),t.withCredentials=!1,t.setRequestHeader(\"Content-Type\",this.content_type);const e=this.http_headers;for(const i in e){const s=e[i];t.setRequestHeader(i,s)}return t}do_load(t,e,i){if(200===t.status){const s=JSON.parse(t.responseText);this.load_data(s,e,i)}}do_error(t){r.logger.error(`Failed to fetch JSON from ${this.data_url} with code ${t.status}`)}}i.AjaxDataSource=n,n.__name__=\"AjaxDataSource\",n.init_AjaxDataSource()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1),n=e(77),s=e(72),a=r.__importStar(e(18)),i=e(9);function l(e){return null!=e?e:NaN}class c extends n.ColumnarDataSource{constructor(e){super(e)}static init_GeoJSONDataSource(){this.define({geojson:[a.Any]}),this.internal({data:[a.Any,{}]})}initialize(){super.initialize(),this._update_data()}connect_signals(){super.connect_signals(),this.connect(this.properties.geojson.change,()=>this._update_data())}_update_data(){this.data=this.geojson_to_column_data()}_get_new_list_array(e){return i.range(0,e).map(e=>[])}_get_new_nan_array(e){return i.range(0,e).map(e=>NaN)}_add_properties(e,t,o,r){const n=e.properties||{};for(const e in n)t.hasOwnProperty(e)||(t[e]=this._get_new_nan_array(r)),t[e][o]=l(n[e])}_add_geometry(e,t,o){function r(e,t){return e.concat([[NaN,NaN,NaN]]).concat(t)}switch(e.type){case\"Point\":{const[r,n,s]=e.coordinates;t.x[o]=r,t.y[o]=n,t.z[o]=l(s);break}case\"LineString\":{const{coordinates:r}=e;for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\");const r=e.coordinates[0];for(let e=0;e1&&s.logger.warn(\"Bokeh does not support Polygons with holes in, only exterior ring used.\"),n.push(t[0]);const a=n.reduce(r);for(let e=0;ethis.get_resolution(t))}_computed_initial_resolution(){return null!=this.initial_resolution?this.initial_resolution:2*Math.PI*6378137/this.tile_size}is_valid_tile(t,e,i){return!(!this.wrap_around&&(t<0||t>=2**i))&&!(e<0||e>=2**i)}parent_by_tile_xyz(t,e,i){const _=this.tile_xyz_to_quadkey(t,e,i),s=_.substring(0,_.length-1);return this.quadkey_to_tile_xyz(s)}get_resolution(t){return this._computed_initial_resolution()/2**t}get_resolution_by_extent(t,e,i){return[(t[2]-t[0])/i,(t[3]-t[1])/e]}get_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s);let o=0;for(const t of this._resolutions){if(r>t){if(0==o)return 0;if(o>0)return o-1}o+=1}return o-1}get_closest_level_by_extent(t,e,i){const _=(t[2]-t[0])/i,s=(t[3]-t[1])/e,r=Math.max(_,s),o=this._resolutions.reduce((function(t,e){return Math.abs(e-r)e?(u=o-s,a*=t):(u*=e,a=n-r)}const h=(u-(o-s))/2,c=(a-(n-r))/2;return[s-h,r-c,o+h,n+c]}tms_to_wmts(t,e,i){return[t,2**i-1-e,i]}wmts_to_tms(t,e,i){return[t,2**i-1-e,i]}pixels_to_meters(t,e,i){const _=this.get_resolution(i);return[t*_-this.x_origin_offset,e*_-this.y_origin_offset]}meters_to_pixels(t,e,i){const _=this.get_resolution(i);return[(t+this.x_origin_offset)/_,(e+this.y_origin_offset)/_]}pixels_to_tile(t,e){let i=Math.ceil(t/this.tile_size);return i=0===i?i:i-1,[i,Math.max(Math.ceil(e/this.tile_size)-1,0)]}pixels_to_raster(t,e,i){return[t,(this.tile_size<=l;t--)for(let i=n;i<=u;i++)this.is_valid_tile(i,t,e)&&h.push([i,t,e,this.get_tile_meter_bounds(i,t,e)]);return this.sort_tiles_from_center(h,[n,l,u,a]),h}quadkey_to_tile_xyz(t){let e=0,i=0;const _=t.length;for(let s=_;s>0;s--){const r=1<0;s--){const i=1<0;)if(s=s.substring(0,s.length-1),[t,e,i]=this.quadkey_to_tile_xyz(s),[t,e,i]=this.denormalize_xyz(t,e,i,_),this.tiles.has(this.tile_xyz_to_key(t,e,i)))return[t,e,i];return[0,0,0]}normalize_xyz(t,e,i){if(this.wrap_around){const _=2**i;return[(t%_+_)%_,e,i]}return[t,e,i]}denormalize_xyz(t,e,i,_){return[t+_*2**i,e,i]}denormalize_meters(t,e,i,_){return[t+2*_*Math.PI*6378137,e]}calculate_world_x_by_tile_xyz(t,e,i){return Math.floor(t/2**i)}}i.MercatorTileSource=l,l.__name__=\"MercatorTileSource\",l.init_MercatorTileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1),n=e(71),s=e(17),l=i.__importStar(e(18));class a extends n.Model{constructor(e){super(e)}static init_TileSource(){this.define({url:[l.String,\"\"],tile_size:[l.Number,256],max_zoom:[l.Number,30],min_zoom:[l.Number,0],extra_url_vars:[l.Any,{}],attribution:[l.String,\"\"],x_origin_offset:[l.Number],y_origin_offset:[l.Number],initial_resolution:[l.Number]})}initialize(){super.initialize(),this.tiles=new Map,this._normalize_case()}connect_signals(){super.connect_signals(),this.connect(this.change,()=>this._clear_cache())}string_lookup_replace(e,t){let r=e;for(const[e,i]of s.entries(t))r=r.replace(`{${e}}`,i);return r}_normalize_case(){const e=this.url.replace(\"{x}\",\"{X}\").replace(\"{y}\",\"{Y}\").replace(\"{z}\",\"{Z}\").replace(\"{q}\",\"{Q}\").replace(\"{xmin}\",\"{XMIN}\").replace(\"{ymin}\",\"{YMIN}\").replace(\"{xmax}\",\"{XMAX}\").replace(\"{ymax}\",\"{YMAX}\");this.url=e}_clear_cache(){this.tiles=new Map}tile_xyz_to_key(e,t,r){return`${e}:${t}:${r}`}key_to_tile_xyz(e){const[t,r,i]=e.split(\":\").map(e=>parseInt(e));return[t,r,i]}sort_tiles_from_center(e,t){const[r,i,n,s]=t,l=(n-r)/2+r,a=(s-i)/2+i;e.sort((function(e,t){return Math.sqrt((l-e[0])**2+(a-e[1])**2)-Math.sqrt((l-t[0])**2+(a-t[1])**2)}))}get_image_url(e,t,r){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",t.toString()).replace(\"{Z}\",r.toString())}}r.TileSource=a,a.__name__=\"TileSource\",a.init_TileSource()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const n=e(32);function o(e,t){return n.wgs84_mercator.forward([e,t])}function c(e,t){return n.wgs84_mercator.inverse([e,t])}r.geographic_to_meters=o,r.meters_to_geographic=c,r.geographic_extent_to_meters=function(e){const[t,r,n,c]=e,[_,i]=o(t,r),[s,u]=o(n,c);return[_,i,s,u]},r.meters_extent_to_geographic=function(e){const[t,r,n,o]=e,[_,i]=c(t,r),[s,u]=c(n,o);return[_,i,s,u]}},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const _=e(310);class s extends _.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const _=this.string_lookup_replace(this.url,this.extra_url_vars),[s,o,u]=this.tms_to_wmts(e,t,r),c=this.tile_xyz_to_quadkey(s,o,u);return _.replace(\"{Q}\",c)}}r.QUADKEYTileSource=s,s.__name__=\"QUADKEYTileSource\"},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),_=e(315),a=e(82),n=e(131),r=e(68),h=s.__importStar(e(18)),l=e(224),o=e(9),d=e(8),m=e(80),c=e(76),u=e(316),p=s.__importDefault(e(317));class g extends a.DataRendererView{initialize(){this._tiles=[],super.initialize()}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.request_render()),this.connect(this.model.tile_source.change,()=>this.request_render())}styles(){return[...super.styles(),p.default]}get_extent(){return[this.x_range.start,this.y_range.start,this.x_range.end,this.y_range.end]}get map_plot(){return this.plot_model}get map_canvas(){return this.layer.ctx}get map_frame(){return this.plot_view.frame}get x_range(){return this.map_plot.x_range}get y_range(){return this.map_plot.y_range}_set_data(){this.extent=this.get_extent(),this._last_height=void 0,this._last_width=void 0}_update_attribution(){null!=this.attribution_el&&r.removeElement(this.attribution_el);const{attribution:e}=this.model.tile_source;if(d.isString(e)&&e.length>0){const{layout:t,frame:i}=this.plot_view,s=t._width.value-i._right.value,_=t._height.value-i._bottom.value,a=i._width.value;this.attribution_el=r.div({class:u.bk_tile_attribution,style:{position:\"absolute\",right:s+\"px\",bottom:_+\"px\",\"max-width\":a-4+\"px\",padding:\"2px\",\"background-color\":\"rgba(255,255,255,0.5)\",\"font-size\":\"9px\",\"line-height\":\"1.05\",\"white-space\":\"nowrap\",overflow:\"hidden\",\"text-overflow\":\"ellipsis\"}}),this.plot_view.canvas_view.add_event(this.attribution_el),this.attribution_el.innerHTML=e,this.attribution_el.title=this.attribution_el.textContent.replace(/\\s*\\n\\s*/g,\" \")}}_map_data(){this.initial_extent=this.get_extent();const e=this.model.tile_source.get_level_by_extent(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value),t=this.model.tile_source.snap_to_zoom_level(this.initial_extent,this.map_frame._height.value,this.map_frame._width.value,e);this.x_range.start=t[0],this.y_range.start=t[1],this.x_range.end=t[2],this.y_range.end=t[3],this.x_range instanceof n.Range1d&&(this.x_range.reset_start=t[0],this.x_range.reset_end=t[2]),this.y_range instanceof n.Range1d&&(this.y_range.reset_start=t[1],this.y_range.reset_end=t[3]),this._update_attribution()}_create_tile(e,t,i,s,_=!1){const[a,n,r]=this.model.tile_source.normalize_xyz(e,t,i),h={img:void 0,tile_coords:[e,t,i],normalized_coords:[a,n,r],quadkey:this.model.tile_source.tile_xyz_to_quadkey(e,t,i),cache_key:this.model.tile_source.tile_xyz_to_key(e,t,i),bounds:s,loaded:!1,finished:!1,x_coord:s[0],y_coord:s[3]},o=this.model.tile_source.get_image_url(a,n,r);new l.ImageLoader(o,{loaded:e=>{Object.assign(h,{img:e,loaded:!0}),_?(h.finished=!0,this.notify_finished()):this.request_render()},failed(){h.finished=!0}}),this.model.tile_source.tiles.set(h.cache_key,h),this._tiles.push(h)}_enforce_aspect_ratio(){if(this._last_height!==this.map_frame._height.value||this._last_width!==this.map_frame._width.value){const e=this.get_extent(),t=this.model.tile_source.get_level_by_extent(e,this.map_frame._height.value,this.map_frame._width.value),i=this.model.tile_source.snap_to_zoom_level(e,this.map_frame._height.value,this.map_frame._width.value,t);this.x_range.setv({start:i[0],end:i[2]}),this.y_range.setv({start:i[1],end:i[3]}),this.extent=i,this._last_height=this.map_frame._height.value,this._last_width=this.map_frame._width.value}}has_finished(){if(!super.has_finished())return!1;if(0===this._tiles.length)return!1;for(const e of this._tiles)if(!e.finished)return!1;return!0}render(){null==this.map_initialized&&(this._set_data(),this._map_data(),this.map_initialized=!0),this._enforce_aspect_ratio(),this._update(),null!=this.prefetch_timer&&clearTimeout(this.prefetch_timer),this.prefetch_timer=setTimeout(this._prefetch_tiles.bind(this),500),this.has_finished()&&this.notify_finished()}_draw_tile(e){const t=this.model.tile_source.tiles.get(e);if(null!=t&&t.loaded){const[[e],[i]]=this.plot_view.map_to_screen([t.bounds[0]],[t.bounds[3]]),[[s],[_]]=this.plot_view.map_to_screen([t.bounds[2]],[t.bounds[1]]),a=s-e,n=_-i,r=e,h=i,l=this.map_canvas.getImageSmoothingEnabled();this.map_canvas.setImageSmoothingEnabled(this.model.smoothing),this.map_canvas.drawImage(t.img,r,h,a,n),this.map_canvas.setImageSmoothingEnabled(l),t.finished=!0}}_set_rect(){const e=this.plot_model.properties.outline_line_width.value(),t=this.map_frame._left.value+e/2,i=this.map_frame._top.value+e/2,s=this.map_frame._width.value-e,_=this.map_frame._height.value-e;this.map_canvas.rect(t,i,s,_),this.map_canvas.clip()}_render_tiles(e){this.map_canvas.save(),this._set_rect(),this.map_canvas.globalAlpha=this.model.alpha;for(const t of e)this._draw_tile(t);this.map_canvas.restore()}_prefetch_tiles(){const{tile_source:e}=this.model,t=this.get_extent(),i=this.map_frame._height.value,s=this.map_frame._width.value,_=this.model.tile_source.get_level_by_extent(t,i,s),a=this.model.tile_source.get_tiles_by_extent(t,_);for(let t=0,i=Math.min(10,a.length);ti&&(s=this.extent,r=i,h=!0),h&&(this.x_range.setv({x_range:{start:s[0],end:s[2]}}),this.y_range.setv({start:s[1],end:s[3]})),this.extent=s;const l=e.get_tiles_by_extent(s,r),d=[],m=[],c=[],u=[];for(const t of l){const[i,s,a]=t,n=e.tile_xyz_to_key(i,s,a),r=e.tiles.get(n);if(null!=r&&r.loaded)m.push(n);else if(this.model.render_parents){const[t,n,r]=e.get_closest_parent_by_tile_xyz(i,s,a),h=e.tile_xyz_to_key(t,n,r),l=e.tiles.get(h);if(null!=l&&l.loaded&&!o.includes(c,h)&&c.push(h),_){const t=e.children_by_tile_xyz(i,s,a);for(const[i,s,_]of t){const t=e.tile_xyz_to_key(i,s,_);e.tiles.has(t)&&u.push(t)}}}null==r&&d.push(t)}this._render_tiles(c),this._render_tiles(u),this._render_tiles(m),null!=this.render_timer&&clearTimeout(this.render_timer),this.render_timer=setTimeout(()=>this._fetch_tiles(d),65)}}i.TileRendererView=g,g.__name__=\"TileRendererView\";class f extends a.DataRenderer{constructor(e){super(e),this._selection_manager=new m.SelectionManager({source:new c.ColumnDataSource})}static init_TileRenderer(){this.prototype.default_view=g,this.define({alpha:[h.Number,1],smoothing:[h.Boolean,!0],tile_source:[h.Instance,()=>new _.WMTSTileSource],render_parents:[h.Boolean,!0]})}get_selection_manager(){return this._selection_manager}}i.TileRenderer=f,f.__name__=\"TileRenderer\",f.init_TileRenderer()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(310);class s extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,t,r){const o=this.string_lookup_replace(this.url,this.extra_url_vars),[s,c,_]=this.tms_to_wmts(e,t,r);return o.replace(\"{X}\",s.toString()).replace(\"{Y}\",c.toString()).replace(\"{Z}\",_.toString())}}r.WMTSTileSource=s,s.__name__=\"WMTSTileSource\"},\n", - " function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0}),i.bk_tile_attribution=\"bk-tile-attribution\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});n.default=\"\\n.bk-root .bk-tile-attribution a {\\n color: black;\\n}\\n\"},\n", - " function _(e,r,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(310);class c extends o.MercatorTileSource{constructor(e){super(e)}get_image_url(e,r,t){return this.string_lookup_replace(this.url,this.extra_url_vars).replace(\"{X}\",e.toString()).replace(\"{Y}\",r.toString()).replace(\"{Z}\",t.toString())}}t.TMSTileSource=c,c.__name__=\"TMSTileSource\"},\n", - " function _(e,r,a){Object.defineProperty(a,\"__esModule\",{value:!0});var t=e(320);a.CanvasTexture=t.CanvasTexture;var u=e(322);a.ImageURLTexture=u.ImageURLTexture;var v=e(321);a.Texture=v.Texture},\n", - " function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const r=t(1),c=t(321),s=r.__importStar(t(18)),i=t(24);class a extends c.Texture{constructor(t){super(t)}static init_CanvasTexture(){this.define({code:[s.String]})}get func(){const t=i.use_strict(this.code);return new Function(\"ctx\",\"color\",\"scale\",\"weight\",t)}get_pattern(t,e,n){return r=>{const c=document.createElement(\"canvas\");c.width=e,c.height=e;const s=c.getContext(\"2d\");return this.func.call(this,s,t,e,n),r.createPattern(c,this.repetition)}}}n.CanvasTexture=a,a.__name__=\"CanvasTexture\",a.init_CanvasTexture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),n=e(71),o=r.__importStar(e(18));class _ extends n.Model{constructor(e){super(e)}static init_Texture(){this.define({repetition:[o.TextureRepetition,\"repeat\"]})}onload(e){e()}}i.Texture=_,_.__name__=\"Texture\",_.init_Texture()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),a=e(321),n=r.__importStar(e(18)),s=e(224);class o extends a.Texture{constructor(e){super(e)}static init_ImageURLTexture(){this.define({url:[n.String]})}initialize(){super.initialize(),this._loader=new s.ImageLoader(this.url)}get_pattern(e,t,i){return e=>this._loader.finished?e.createPattern(this._loader.image,this.repetition):null}onload(e){this._loader.promise.then(()=>e())}}i.ImageURLTexture=o,o.__name__=\"ImageURLTexture\",o.init_ImageURLTexture()},\n", - " function _(o,l,T){Object.defineProperty(T,\"__esModule\",{value:!0});var a=o(285);T.ActionTool=a.ActionTool;var r=o(324);T.CustomAction=r.CustomAction;var e=o(286);T.HelpTool=e.HelpTool;var v=o(325);T.RedoTool=v.RedoTool;var t=o(326);T.ResetTool=t.ResetTool;var n=o(327);T.SaveTool=n.SaveTool;var s=o(328);T.UndoTool=s.UndoTool;var i=o(329);T.ZoomInTool=i.ZoomInTool;var P=o(331);T.ZoomOutTool=P.ZoomOutTool;var c=o(275);T.ButtonTool=c.ButtonTool;var d=o(332);T.EditTool=d.EditTool;var u=o(333);T.BoxEditTool=u.BoxEditTool;var y=o(334);T.FreehandDrawTool=y.FreehandDrawTool;var m=o(335);T.PointDrawTool=m.PointDrawTool;var x=o(336);T.PolyDrawTool=x.PolyDrawTool;var B=o(337);T.PolyTool=B.PolyTool;var S=o(338);T.PolyEditTool=S.PolyEditTool;var b=o(339);T.BoxSelectTool=b.BoxSelectTool;var h=o(342);T.BoxZoomTool=h.BoxZoomTool;var E=o(284);T.GestureTool=E.GestureTool;var Z=o(343);T.LassoSelectTool=Z.LassoSelectTool;var p=o(344);T.LineEditTool=p.LineEditTool;var w=o(346);T.PanTool=w.PanTool;var C=o(347);T.PolySelectTool=C.PolySelectTool;var D=o(348);T.RangeTool=D.RangeTool;var H=o(340);T.SelectTool=H.SelectTool;var R=o(349);T.TapTool=R.TapTool;var A=o(350);T.WheelPanTool=A.WheelPanTool;var I=o(351);T.WheelZoomTool=I.WheelZoomTool;var L=o(352);T.CrosshairTool=L.CrosshairTool;var W=o(353);T.CustomJSHover=W.CustomJSHover;var O=o(354);T.HoverTool=O.HoverTool;var _=o(274);T.InspectTool=_.InspectTool;var f=o(277);T.Tool=f.Tool;var g=o(355);T.ToolProxy=g.ToolProxy;var F=o(273);T.Toolbar=F.Toolbar;var G=o(283);T.ToolbarBase=G.ToolbarBase;var J=o(357);T.ProxyToolbar=J.ProxyToolbar;var U=o(357);T.ToolbarBox=U.ToolbarBox},\n", - " function _(t,o,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),s=t(285),e=n.__importStar(t(18)),c=t(278);class _ extends s.ActionToolButtonView{css_classes(){return super.css_classes().concat(c.bk_toolbar_button_custom_action)}}i.CustomActionButtonView=_,_.__name__=\"CustomActionButtonView\";class l extends s.ActionToolView{doit(){null!=this.model.callback&&this.model.callback.execute(this.model)}}i.CustomActionView=l,l.__name__=\"CustomActionView\";class u extends s.ActionTool{constructor(t){super(t),this.tool_name=\"Custom Action\",this.button_view=_}static init_CustomAction(){this.prototype.default_view=l,this.define({action_tooltip:[e.String,\"Perform a Custom Action\"],callback:[e.Any],icon:[e.String]})}get tooltip(){return this.action_tooltip}}i.CustomAction=u,u.__name__=\"CustomAction\",u.init_CustomAction()},\n", - " function _(o,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=o(285),s=o(287);class n extends i.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_redo())}doit(){this.plot_view.redo()}}t.RedoToolView=n,n.__name__=\"RedoToolView\";class _ extends i.ActionTool{constructor(o){super(o),this.tool_name=\"Redo\",this.icon=s.bk_tool_icon_redo}static init_RedoTool(){this.prototype.default_view=n,this.override({disabled:!0}),this.register_alias(\"redo\",()=>new _)}}t.RedoTool=_,_.__name__=\"RedoTool\",_.init_RedoTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(285),i=e(287);class _ extends s.ActionToolView{doit(){this.plot_view.reset()}}o.ResetToolView=_,_.__name__=\"ResetToolView\";class l extends s.ActionTool{constructor(e){super(e),this.tool_name=\"Reset\",this.icon=i.bk_tool_icon_reset}static init_ResetTool(){this.prototype.default_view=_,this.register_alias(\"reset\",()=>new l)}}o.ResetTool=l,l.__name__=\"ResetTool\",l.init_ResetTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const i=e(285),s=e(287);class _ extends i.ActionToolView{doit(){this.plot_view.save(\"bokeh_plot\")}}t.SaveToolView=_,_.__name__=\"SaveToolView\";class a extends i.ActionTool{constructor(e){super(e),this.tool_name=\"Save\",this.icon=s.bk_tool_icon_save}static init_SaveTool(){this.prototype.default_view=_,this.register_alias(\"save\",()=>new a)}}t.SaveTool=a,a.__name__=\"SaveTool\",a.init_SaveTool()},\n", - " function _(o,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const n=o(285),i=o(287);class s extends n.ActionToolView{connect_signals(){super.connect_signals(),this.connect(this.plot_view.state_changed,()=>this.model.disabled=!this.plot_view.can_undo())}doit(){this.plot_view.undo()}}e.UndoToolView=s,s.__name__=\"UndoToolView\";class _ extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Undo\",this.icon=i.bk_tool_icon_undo}static init_UndoTool(){this.prototype.default_view=s,this.override({disabled:!0}),this.register_alias(\"undo\",()=>new _)}}e.UndoTool=_,_.__name__=\"UndoTool\",_.init_UndoTool()},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),n=o(285),s=o(330),_=e.__importStar(o(18)),m=o(287);class l extends n.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,n=s.scale_range(o,this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:n}),this.plot_view.update_range(n,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomInToolView=l,l.__name__=\"ZoomInToolView\";class h extends n.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom In\",this.icon=m.bk_tool_icon_zoom_in}static init_ZoomInTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_in\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_in\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_in\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomInTool=h,h.__name__=\"ZoomInTool\",h.init_ZoomInTool()},\n", - " function _(n,t,e){Object.defineProperty(e,\"__esModule\",{value:!0});const o=n(10);function r(n,t,e){const[o,r]=[n.start,n.end],c=null!=e?e:(r+o)/2;return[o-(o-c)*t,r-(r-c)*t]}function c(n,[t,e]){const o={};for(const r in n){const c=n[r],[s,l]=c.r_invert(t,e);o[r]={start:s,end:l}}return o}e.scale_highlow=r,e.get_info=c,e.scale_range=function(n,t,e=!0,s=!0,l){t=o.clamp(t,-.9,.9);const a=e?t:0,[u,i]=r(n.bbox.h_range,a,null!=l?l.x:void 0),_=c(n.xscales,[u,i]),f=s?t:0,[d,b]=r(n.bbox.v_range,f,null!=l?l.y:void 0);return{xrs:_,yrs:c(n.yscales,[d,b]),factor:t}}},\n", - " function _(o,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const e=o(1),s=o(285),n=o(330),_=e.__importStar(o(18)),m=o(287);class l extends s.ActionToolView{doit(){const o=this.plot_view.frame,t=this.model.dimensions,i=\"width\"==t||\"both\"==t,e=\"height\"==t||\"both\"==t,s=n.scale_range(o,-this.model.factor,i,e);this.plot_view.push_state(\"zoom_out\",{range:s}),this.plot_view.update_range(s,!1,!0),this.model.document&&this.model.document.interactive_start(this.plot_model)}}i.ZoomOutToolView=l,l.__name__=\"ZoomOutToolView\";class h extends s.ActionTool{constructor(o){super(o),this.tool_name=\"Zoom Out\",this.icon=m.bk_tool_icon_zoom_out}static init_ZoomOutTool(){this.prototype.default_view=l,this.define({factor:[_.Percent,.1],dimensions:[_.Dimensions,\"both\"]}),this.register_alias(\"zoom_out\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xzoom_out\",()=>new h({dimensions:\"width\"})),this.register_alias(\"yzoom_out\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.ZoomOutTool=h,h.__name__=\"ZoomOutTool\",h.init_ZoomOutTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),n=e(9),i=e(8),r=e(11),_=e(284);class c extends _.GestureToolView{constructor(){super(...arguments),this._mouse_in_frame=!0}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void r.unreachable():\"replace\"}_move_enter(e){this._mouse_in_frame=!0}_move_exit(e){this._mouse_in_frame=!1}_map_drag(e,t,s){const o=this.plot_view.frame;return o.bbox.contains(e,t)?[o.xscales[s.x_range_name].invert(e),o.yscales[s.y_range_name].invert(t)]:null}_delete_selected(e){const t=e.data_source,s=t.selected.indices;s.sort();for(const e of t.columns()){const o=t.get_array(e);for(let e=0;ethis._show_vertices())}this._initialized=!0}}deactivate(){this._drawing&&(this._remove(),this._drawing=!1),this.model.vertex_renderer&&this._hide_vertices()}}s.PolyDrawToolView=d,d.__name__=\"PolyDrawToolView\";class l extends n.PolyTool{constructor(e){super(e),this.tool_name=\"Polygon Draw Tool\",this.icon=_.bk_tool_icon_poly_draw,this.event_type=[\"pan\",\"tap\",\"move\"],this.default_order=3}static init_PolyDrawTool(){this.prototype.default_view=d,this.define({drag:[a.Boolean,!0],num_objects:[a.Int,0]})}}s.PolyDrawTool=l,l.__name__=\"PolyDrawTool\",l.init_PolyDrawTool()},\n", - " function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const o=e(1).__importStar(e(18)),i=e(8),s=e(332);class _ extends s.EditToolView{_set_vertices(e,t){const r=this.model.vertex_renderer.glyph,o=this.model.vertex_renderer.data_source,[s,_]=[r.x.field,r.y.field];s&&(i.isArray(e)?o.data[s]=e:r.x={value:e}),_&&(i.isArray(t)?o.data[_]=t:r.y={value:t}),this._emit_cds_changes(o,!0,!0,!1)}_hide_vertices(){this._set_vertices([],[])}_snap_to_vertex(e,t,r){if(this.model.vertex_renderer){const o=this._select_event(e,\"replace\",[this.model.vertex_renderer]),i=this.model.vertex_renderer.data_source,s=this.model.vertex_renderer.glyph,[_,l]=[s.x.field,s.y.field];if(o.length){const e=i.selected.indices[0];_&&(t=i.data[_][e]),l&&(r=i.data[l][e]),i.selection_manager.clear()}}return[t,r]}}r.PolyToolView=_,_.__name__=\"PolyToolView\";class l extends s.EditTool{constructor(e){super(e)}static init_PolyTool(){this.prototype.default_view=_,this.define({vertex_renderer:[o.Instance]})}}r.PolyTool=l,l.__name__=\"PolyTool\",l.init_PolyTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(68),i=e(8),_=e(337),d=e(287);class n extends _.PolyToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this._map_drag(e.sx,e.sy,this.model.vertex_renderer);if(null==t)return;const[s,r]=t,i=this._select_event(e,\"replace\",[this.model.vertex_renderer]),_=this.model.vertex_renderer.data_source,d=this.model.vertex_renderer.glyph,[n,l]=[d.x.field,d.y.field];if(i.length&&null!=this._selected_renderer){const e=_.selected.indices[0];this._drawing?(this._drawing=!1,_.selection_manager.clear()):(_.selected.indices=[e+1],n&&_.get_array(n).splice(e+1,0,s),l&&_.get_array(l).splice(e+1,0,r),this._drawing=!0),_.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}else this._show_vertices(e)}_show_vertices(e){if(!this.model.active)return;const t=this._select_event(e,\"replace\",this.model.renderers);if(!t.length)return this._set_vertices([],[]),this._selected_renderer=null,void(this._drawing=!1);const s=t[0],r=s.glyph,_=s.data_source,d=_.selected.indices[0],[n,l]=[r.xs.field,r.ys.field];let a,c;n?(a=_.data[n][d],i.isArray(a)||(_.data[n][d]=a=Array.from(a))):a=r.xs.value,l?(c=_.data[l][d],i.isArray(c)||(_.data[l][d]=c=Array.from(c))):c=r.ys.value,this._selected_renderer=s,this._set_vertices(a,c)}_move(e){if(this._drawing&&null!=this._selected_renderer){const t=this.model.vertex_renderer,s=t.data_source,r=t.glyph,i=this._map_drag(e.sx,e.sy,t);if(null==i)return;let[_,d]=i;const n=s.selected.indices;[_,d]=this._snap_to_vertex(e,_,d),s.selected.indices=n;const[l,a]=[r.x.field,r.y.field],c=n[0];l&&(s.data[l][c]=_),a&&(s.data[a][c]=d),s.change.emit(),this._selected_renderer.data_source.change.emit()}}_tap(e){const t=this.model.vertex_renderer,s=this._map_drag(e.sx,e.sy,t);if(null==s)return;if(this._drawing&&this._selected_renderer){let[r,i]=s;const _=t.data_source,d=t.glyph,[n,l]=[d.x.field,d.y.field],a=_.selected.indices;[r,i]=this._snap_to_vertex(e,r,i);const c=a[0];if(_.selected.indices=[c+1],n){const e=_.get_array(n),t=e[c];e[c]=r,e.splice(c+1,0,t)}if(l){const e=_.get_array(l),t=e[c];e[c]=i,e.splice(c+1,0,t)}return _.change.emit(),void this._emit_cds_changes(this._selected_renderer.data_source,!0,!1,!0)}const r=this._select_mode(e);this._select_event(e,r,[t]),this._select_event(e,r,this.model.renderers)}_remove_vertex(){if(!this._drawing||!this._selected_renderer)return;const e=this.model.vertex_renderer,t=e.data_source,s=e.glyph,r=t.selected.indices[0],[i,_]=[s.x.field,s.y.field];i&&t.get_array(i).splice(r,1),_&&t.get_array(_).splice(r,1),t.change.emit(),this._emit_cds_changes(this._selected_renderer.data_source)}_pan_start(e){this._select_event(e,\"append\",[this.model.vertex_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.vertex_renderer]),this._emit_cds_changes(this.model.vertex_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}_keyup(e){if(!this.model.active||!this._mouse_in_frame)return;let t;t=this._selected_renderer?[this.model.vertex_renderer]:this.model.renderers;for(const s of t)e.keyCode===r.Keys.Backspace?(this._delete_selected(s),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source)):e.keyCode==r.Keys.Esc&&(this._drawing?(this._remove_vertex(),this._drawing=!1):this._selected_renderer&&this._hide_vertices(),s.data_source.selection_manager.clear())}deactivate(){this._selected_renderer&&(this._drawing&&(this._remove_vertex(),this._drawing=!1),this._hide_vertices())}}s.PolyEditToolView=n,n.__name__=\"PolyEditToolView\";class l extends _.PolyTool{constructor(e){super(e),this.tool_name=\"Poly Edit Tool\",this.icon=d.bk_tool_icon_poly_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_PolyEditTool(){this.prototype.default_view=n}}s.PolyEditTool=l,l.__name__=\"PolyEditTool\",l.init_PolyEditTool()},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(1),i=e(340),l=e(107),_=s.__importStar(e(18)),n=e(287);class c extends i.SelectToolView{_compute_limits(e){const t=this.plot_view.frame,o=this.model.dimensions;let s=this._base_point;if(\"center\"==this.model.origin){const[t,o]=s,[i,l]=e;s=[t-(i-t),o-(l-o)]}return this.model._get_dim_limits(s,e,t,o)}_pan_start(e){const{sx:t,sy:o}=e;this._base_point=[t,o]}_pan(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this.model.overlay.update({left:i[0],right:i[1],top:l[0],bottom:l[1]}),this.model.select_every_mousemove&&this._do_select(i,l,!1,this._select_mode(e))}_pan_end(e){const{sx:t,sy:o}=e,s=[t,o],[i,l]=this._compute_limits(s);this._do_select(i,l,!0,this._select_mode(e)),this.model.overlay.update({left:null,right:null,top:null,bottom:null}),this._base_point=null,this.plot_view.push_state(\"box_select\",{selection:this.plot_view.get_selection()})}_do_select([e,t],[o,s],i,l=\"replace\"){const _={type:\"rect\",sx0:e,sx1:t,sy0:o,sy1:s};this._select(_,i,l)}}o.BoxSelectToolView=c,c.__name__=\"BoxSelectToolView\";const r=()=>new l.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.SelectTool{constructor(e){super(e),this.tool_name=\"Box Select\",this.icon=n.bk_tool_icon_box_select,this.event_type=\"pan\",this.default_order=30}static init_BoxSelectTool(){this.prototype.default_view=c,this.define({dimensions:[_.Dimensions,\"both\"],select_every_mousemove:[_.Boolean,!1],overlay:[_.Instance,r],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_select\",()=>new h),this.register_alias(\"xbox_select\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_select\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}o.BoxSelectTool=h,h.__name__=\"BoxSelectTool\",h.init_BoxSelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),r=e(81),c=e(100),i=e(341),l=n.__importStar(e(18)),a=e(68),d=e(291),_=e(14),h=e(11);class u extends o.GestureToolView{connect_signals(){super.connect_signals(),this.model.clear.connect(()=>this._clear())}get computed_renderers(){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;return i.compute_renderers(e,t,s)}_computed_renderers_by_data_source(){var e;const t=new Map;for(const s of this.computed_renderers){let n;if(s instanceof r.GlyphRenderer)n=s.data_source;else{if(!(s instanceof c.GraphRenderer))continue;n=s.node_renderer.data_source}const o=null!==(e=t.get(n))&&void 0!==e?e:[];t.set(n,[...o,s])}return t}_select_mode(e){const{shiftKey:t,ctrlKey:s}=e;return t||s?t&&!s?\"append\":!t&&s?\"intersect\":t&&s?\"subtract\":void h.unreachable():this.model.mode}_keyup(e){e.keyCode==a.Keys.Esc&&this._clear()}_clear(){for(const e of this.computed_renderers)e.get_selection_manager().clear();this.plot_view.request_render()}_select(e,t,s){const n=this._computed_renderers_by_data_source();for(const[,o]of n){const n=o[0].get_selection_manager(),r=[];for(const e of o){const t=this.plot_view.renderer_views.get(e);null!=t&&r.push(t)}n.select(r,e,t,s)}null!=this.model.callback&&this._emit_callback(e),this._emit_selection_event(e,t)}_emit_selection_event(e,t=!0){const{frame:s}=this.plot_view,n=s.xscales.default,o=s.yscales.default;let r;switch(e.type){case\"point\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"span\":{const{sx:t,sy:s}=e,c=n.invert(t),i=o.invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}case\"rect\":{const{sx0:t,sx1:s,sy0:c,sy1:i}=e,[l,a]=n.r_invert(t,s),[d,_]=o.r_invert(c,i);r=Object.assign(Object.assign({},e),{x0:l,y0:d,x1:a,y1:_});break}case\"poly\":{const{sx:t,sy:s}=e,c=n.v_invert(t),i=o.v_invert(s);r=Object.assign(Object.assign({},e),{x:c,y:i});break}}this.plot_model.trigger_event(new d.SelectionGeometry(r,t))}}s.SelectToolView=u,u.__name__=\"SelectToolView\";class p extends o.GestureTool{constructor(e){super(e)}initialize(){super.initialize(),this.clear=new _.Signal0(this,\"clear\")}static init_SelectTool(){this.define({renderers:[l.Any,\"auto\"],names:[l.Array,[]],mode:[l.Any,\"replace\"]})}get menu(){return[{icon:\"bk-tool-icon-replace-mode\",tooltip:\"Replace the current selection\",active:()=>\"replace\"==this.mode,handler:()=>{this.mode=\"replace\",this.active=!0}},{icon:\"bk-tool-icon-append-mode\",tooltip:\"Append to the current selection (Shift)\",active:()=>\"append\"==this.mode,handler:()=>{this.mode=\"append\",this.active=!0}},{icon:\"bk-tool-icon-intersect-mode\",tooltip:\"Intersect with the current selection (Ctrl)\",active:()=>\"intersect\"==this.mode,handler:()=>{this.mode=\"intersect\",this.active=!0}},{icon:\"bk-tool-icon-subtract-mode\",tooltip:\"Subtract from the current selection (Shift+Ctrl)\",active:()=>\"subtract\"==this.mode,handler:()=>{this.mode=\"subtract\",this.active=!0}},null,{icon:\"bk-tool-icon-clear-selection\",tooltip:\"Clear the current selection (Esc)\",handler:()=>{this.clear.emit()}}]}}s.SelectTool=p,p.__name__=\"SelectTool\",p.init_SelectTool()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(9);t.compute_renderers=function(e,n,t){if(null==e)return[];let u=\"auto\"==e?n:e;return t.length>0&&(u=u.filter(e=>r.includes(t,e.name))),u}},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const s=t(1),i=t(284),n=t(107),_=s.__importStar(t(18)),a=t(287);class l extends i.GestureToolView{_match_aspect(t,o,e){const s=e.bbox.aspect,i=e.bbox.h_range.end,n=e.bbox.h_range.start,_=e.bbox.v_range.end,a=e.bbox.v_range.start;let l=Math.abs(t[0]-o[0]),r=Math.abs(t[1]-o[1]);const h=0==r?0:l/r,[c]=h>=s?[1,h/s]:[s/h,1];let m,p,d,b;return t[0]<=o[0]?(m=t[0],p=t[0]+l*c,p>i&&(p=i)):(p=t[0],m=t[0]-l*c,m_&&(d=_)):(d=t[1],b=t[1]-l/s,bnew n.BoxAnnotation({level:\"overlay\",top_units:\"screen\",left_units:\"screen\",bottom_units:\"screen\",right_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class h extends i.GestureTool{constructor(t){super(t),this.tool_name=\"Box Zoom\",this.icon=a.bk_tool_icon_box_zoom,this.event_type=\"pan\",this.default_order=20}static init_BoxZoomTool(){this.prototype.default_view=l,this.define({dimensions:[_.Dimensions,\"both\"],overlay:[_.Instance,r],match_aspect:[_.Boolean,!1],origin:[_.BoxOrigin,\"corner\"]}),this.register_alias(\"box_zoom\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xbox_zoom\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ybox_zoom\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}e.BoxZoomTool=h,h.__name__=\"BoxZoomTool\",h.init_BoxZoomTool()},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(1),l=e(340),i=e(139),a=e(68),_=o.__importStar(e(18)),c=e(287);class n extends l.SelectToolView{initialize(){super.initialize(),this.data=null}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_overlay()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_overlay()}_pan_start(e){const{sx:s,sy:t}=e;this.data={sx:[s],sy:[t]}}_pan(e){const{sx:s,sy:t}=e,[o,l]=this.plot_view.frame.bbox.clip(s,t);this.data.sx.push(o),this.data.sy.push(l),this.model.overlay.update({xs:this.data.sx,ys:this.data.sy}),this.model.select_every_mousemove&&this._do_select(this.data.sx,this.data.sy,!1,this._select_mode(e))}_pan_end(e){this._clear_overlay(),this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"lasso_select\",{selection:this.plot_view.get_selection()})}_clear_overlay(){this.model.overlay.update({xs:[],ys:[]})}_do_select(e,s,t,o){const l={type:\"poly\",sx:e,sy:s};this._select(l,t,o)}}t.LassoSelectToolView=n,n.__name__=\"LassoSelectToolView\";const h=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class r extends l.SelectTool{constructor(e){super(e),this.tool_name=\"Lasso Select\",this.icon=c.bk_tool_icon_lasso_select,this.event_type=\"pan\",this.default_order=12}static init_LassoSelectTool(){this.prototype.default_view=n,this.define({select_every_mousemove:[_.Boolean,!0],overlay:[_.Instance,h]}),this.register_alias(\"lasso_select\",()=>new r)}}t.LassoSelectTool=r,r.__name__=\"LassoSelectTool\",r.init_LassoSelectTool()},\n", - " function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(345),r=s.__importStar(e(18)),_=e(287);class d extends n.LineToolView{constructor(){super(...arguments),this._drawing=!1}_doubletap(e){if(!this.model.active)return;const t=this.model.renderers;for(const i of t){1==this._select_event(e,\"replace\",[i]).length&&(this._selected_renderer=i)}this._show_intersections(),this._update_line_cds()}_show_intersections(){if(!this.model.active)return;if(null==this._selected_renderer)return;if(!this.model.renderers.length)return this._set_intersection([],[]),this._selected_renderer=null,void(this._drawing=!1);const e=this._selected_renderer.data_source,t=this._selected_renderer.glyph,[i,s]=[t.x.field,t.y.field],n=e.get_array(i),r=e.get_array(s);this._set_intersection(n,r)}_tap(e){const t=this.model.intersection_renderer;if(null==this._map_drag(e.sx,e.sy,t))return;if(this._drawing&&this._selected_renderer){const i=this._select_mode(e);if(0==this._select_event(e,i,[t]).length)return}const i=this._select_mode(e);this._select_event(e,i,[t]),this._select_event(e,i,this.model.renderers)}_update_line_cds(){if(null==this._selected_renderer)return;const e=this.model.intersection_renderer.glyph,t=this.model.intersection_renderer.data_source,[i,s]=[e.x.field,e.y.field];if(i&&s){const e=t.data[i],n=t.data[s];this._selected_renderer.data_source.data[i]=e,this._selected_renderer.data_source.data[s]=n}this._emit_cds_changes(this._selected_renderer.data_source,!0,!0,!1)}_pan_start(e){this._select_event(e,\"append\",[this.model.intersection_renderer]),this._basepoint=[e.sx,e.sy]}_pan(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer],this.model.dimensions),this._selected_renderer&&this._selected_renderer.data_source.change.emit())}_pan_end(e){null!=this._basepoint&&(this._drag_points(e,[this.model.intersection_renderer]),this._emit_cds_changes(this.model.intersection_renderer.data_source,!1,!0,!0),this._selected_renderer&&this._emit_cds_changes(this._selected_renderer.data_source),this._basepoint=null)}activate(){this._drawing=!0}deactivate(){this._selected_renderer&&(this._drawing&&(this._drawing=!1),this._hide_intersections())}}i.LineEditToolView=d,d.__name__=\"LineEditToolView\";class o extends n.LineTool{constructor(e){super(e),this.tool_name=\"Line Edit Tool\",this.icon=_.bk_tool_icon_line_edit,this.event_type=[\"tap\",\"pan\",\"move\"],this.default_order=4}static init_LineEditTool(){this.prototype.default_view=d,this.define({dimensions:[r.Dimensions,\"both\"]})}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}i.LineEditTool=o,o.__name__=\"LineEditTool\",o.init_LineEditTool()},\n", - " function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1).__importStar(e(18)),o=e(8),s=e(332);class _ extends s.EditToolView{_set_intersection(e,i){const t=this.model.intersection_renderer.glyph,n=this.model.intersection_renderer.data_source,[s,_]=[t.x.field,t.y.field];s&&(o.isArray(e)?n.data[s]=e:t.x={value:e}),_&&(o.isArray(i)?n.data[_]=i:t.y={value:i}),this._emit_cds_changes(n,!0,!0,!1)}_hide_intersections(){this._set_intersection([],[])}}t.LineToolView=_,_.__name__=\"LineToolView\";class r extends s.EditTool{constructor(e){super(e)}static init_LineTool(){this.prototype.default_view=_,this.define({intersection_renderer:[n.Instance]})}}t.LineTool=r,r.__name__=\"LineTool\",r.init_LineTool()},\n", - " function _(t,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),e=t(284),o=i.__importStar(t(18)),a=t(287);class _ extends e.GestureToolView{_pan_start(t){this.last_dx=0,this.last_dy=0;const{sx:s,sy:n}=t,i=this.plot_view.frame.bbox;if(!i.contains(s,n)){const t=i.h_range,e=i.v_range;(st.end)&&(this.v_axis_only=!0),(ne.end)&&(this.h_axis_only=!0)}null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan(t){this._update(t.deltaX,t.deltaY),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}_pan_end(t){this.h_axis_only=!1,this.v_axis_only=!1,null!=this.pan_info&&this.plot_view.push_state(\"pan\",{range:this.pan_info})}_update(t,s){const n=this.plot_view.frame,i=t-this.last_dx,e=s-this.last_dy,o=n.bbox.h_range,a=o.start-i,_=o.end-i,h=n.bbox.v_range,l=h.start-e,r=h.end-e,d=this.model.dimensions;let c,p,m,u,x,y;\"width\"!=d&&\"both\"!=d||this.v_axis_only?(c=o.start,p=o.end,m=0):(c=a,p=_,m=-i),\"height\"!=d&&\"both\"!=d||this.h_axis_only?(u=h.start,x=h.end,y=0):(u=l,x=r,y=-e),this.last_dx=t,this.last_dy=s;const{xscales:v,yscales:b}=n,g={};for(const t in v){const s=v[t],[n,i]=s.r_invert(c,p);g[t]={start:n,end:i}}const w={};for(const t in b){const s=b[t],[n,i]=s.r_invert(u,x);w[t]={start:n,end:i}}this.pan_info={xrs:g,yrs:w,sdx:m,sdy:y},this.plot_view.update_range(this.pan_info,!0)}}n.PanToolView=_,_.__name__=\"PanToolView\";class h extends e.GestureTool{constructor(t){super(t),this.tool_name=\"Pan\",this.event_type=\"pan\",this.default_order=10}static init_PanTool(){this.prototype.default_view=_,this.define({dimensions:[o.Dimensions,\"both\"]}),this.register_alias(\"pan\",()=>new h({dimensions:\"both\"})),this.register_alias(\"xpan\",()=>new h({dimensions:\"width\"})),this.register_alias(\"ypan\",()=>new h({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(\"Pan\",this.dimensions)}get icon(){switch(this.dimensions){case\"both\":return a.bk_tool_icon_pan;case\"width\":return a.bk_tool_icon_xpan;case\"height\":return a.bk_tool_icon_ypan}}}n.PanTool=h,h.__name__=\"PanTool\",h.init_PanTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const l=e(1),o=e(340),i=e(139),a=e(68),_=l.__importStar(e(18)),c=e(9),n=e(287);class h extends o.SelectToolView{initialize(){super.initialize(),this.data={sx:[],sy:[]}}connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._active_change())}_active_change(){this.model.active||this._clear_data()}_keyup(e){e.keyCode==a.Keys.Enter&&this._clear_data()}_doubletap(e){this._do_select(this.data.sx,this.data.sy,!0,this._select_mode(e)),this.plot_view.push_state(\"poly_select\",{selection:this.plot_view.get_selection()}),this._clear_data()}_clear_data(){this.data={sx:[],sy:[]},this.model.overlay.update({xs:[],ys:[]})}_tap(e){const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)&&(this.data.sx.push(t),this.data.sy.push(s),this.model.overlay.update({xs:c.copy(this.data.sx),ys:c.copy(this.data.sy)}))}_do_select(e,t,s,l){const o={type:\"poly\",sx:e,sy:t};this._select(o,s,l)}}s.PolySelectToolView=h,h.__name__=\"PolySelectToolView\";const y=()=>new i.PolyAnnotation({level:\"overlay\",xs_units:\"screen\",ys_units:\"screen\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:2,line_dash:[4,4]});class d extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Poly Select\",this.icon=n.bk_tool_icon_polygon_select,this.event_type=\"tap\",this.default_order=11}static init_PolySelectTool(){this.prototype.default_view=h,this.define({overlay:[_.Instance,y]}),this.register_alias(\"poly_select\",()=>new d)}}s.PolySelectTool=d,d.__name__=\"PolySelectTool\",d.init_PolySelectTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(107),l=e(72),a=i.__importStar(e(18)),r=e(284),o=e(287);function _(e){switch(e){case 1:return 2;case 2:return 1;case 4:return 5;case 5:return 4;default:return e}}function h(e,t,s,i){if(null==t)return!1;const n=s.compute(t);return Math.abs(e-n)n.right)&&(l=!1)}if(null!=n.bottom&&null!=n.top){const e=i.invert(t);(en.top)&&(l=!1)}return l}function u(e,t,s){let i=0;return e>=s.start&&e<=s.end&&(i+=1),t>=s.start&&t<=s.end&&(i+=1),i}function c(e,t,s,i){const n=t.compute(e),l=t.invert(n+s);return l>=i.start&&l<=i.end?l:e}function g(e,t,s){return e>t.start?(t.end=e,s):(t.end=t.start,t.start=e,_(s))}function y(e,t,s){return e=o&&(e.start=a,e.end=r)}s.flip_side=_,s.is_near=h,s.is_inside=d,s.sides_inside=u,s.compute_value=c,s.update_range_end_side=g,s.update_range_start_side=y,s.update_range=f;class p extends r.GestureToolView{initialize(){super.initialize(),this.side=0,this.model.update_overlay_from_ranges()}connect_signals(){super.connect_signals(),null!=this.model.x_range&&this.connect(this.model.x_range.change,()=>this.model.update_overlay_from_ranges()),null!=this.model.y_range&&this.connect(this.model.y_range.change,()=>this.model.update_overlay_from_ranges())}_pan_start(e){this.last_dx=0,this.last_dy=0;const t=this.model.x_range,s=this.model.y_range,i=this.plot_view.frame,l=i.xscales.default,a=i.yscales.default,r=this.model.overlay,{left:o,right:_,top:u,bottom:c}=r,g=this.model.overlay.properties.line_width.value()+n.EDGE_TOLERANCE;null!=t&&this.model.x_interaction&&(h(e.sx,o,l,g)?this.side=1:h(e.sx,_,l,g)?this.side=2:d(e.sx,e.sy,l,a,r)&&(this.side=3)),null!=s&&this.model.y_interaction&&(0==this.side&&h(e.sy,c,a,g)&&(this.side=4),0==this.side&&h(e.sy,u,a,g)?this.side=5:d(e.sx,e.sy,l,a,this.model.overlay)&&(3==this.side?this.side=7:this.side=6))}_pan(e){const t=this.plot_view.frame,s=e.deltaX-this.last_dx,i=e.deltaY-this.last_dy,n=this.model.x_range,l=this.model.y_range,a=t.xscales.default,r=t.yscales.default;if(null!=n)if(3==this.side||7==this.side)f(n,a,s,t.x_range);else if(1==this.side){const e=c(n.start,a,s,t.x_range);this.side=y(e,n,this.side)}else if(2==this.side){const e=c(n.end,a,s,t.x_range);this.side=g(e,n,this.side)}if(null!=l)if(6==this.side||7==this.side)f(l,r,i,t.y_range);else if(4==this.side){const e=c(l.start,r,i,t.y_range);this.side=y(e,l,this.side)}else if(5==this.side){const e=c(l.end,r,i,t.y_range);this.side=g(e,l,this.side)}this.last_dx=e.deltaX,this.last_dy=e.deltaY}_pan_end(e){this.side=0}}s.RangeToolView=p,p.__name__=\"RangeToolView\";const m=()=>new n.BoxAnnotation({level:\"overlay\",fill_color:\"lightgrey\",fill_alpha:.5,line_color:\"black\",line_alpha:1,line_width:.5,line_dash:[2,2]});class v extends r.GestureTool{constructor(e){super(e),this.tool_name=\"Range Tool\",this.icon=o.bk_tool_icon_range,this.event_type=\"pan\",this.default_order=1}static init_RangeTool(){this.prototype.default_view=p,this.define({x_range:[a.Instance,null],x_interaction:[a.Boolean,!0],y_range:[a.Instance,null],y_interaction:[a.Boolean,!0],overlay:[a.Instance,m]})}initialize(){super.initialize(),this.overlay.in_cursor=\"grab\",this.overlay.ew_cursor=null!=this.x_range&&this.x_interaction?\"ew-resize\":null,this.overlay.ns_cursor=null!=this.y_range&&this.y_interaction?\"ns-resize\":null}update_overlay_from_ranges(){null==this.x_range&&null==this.y_range&&(this.overlay.left=null,this.overlay.right=null,this.overlay.bottom=null,this.overlay.top=null,l.logger.warn(\"RangeTool not configured with any Ranges.\")),null==this.x_range?(this.overlay.left=null,this.overlay.right=null):(this.overlay.left=this.x_range.start,this.overlay.right=this.x_range.end),null==this.y_range?(this.overlay.bottom=null,this.overlay.top=null):(this.overlay.bottom=this.y_range.start,this.overlay.top=this.y_range.end)}}s.RangeTool=v,v.__name__=\"RangeTool\",v.init_RangeTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),o=e(340),a=i.__importStar(e(18)),n=e(287);class _ extends o.SelectToolView{_tap(e){const{sx:t,sy:s}=e,i={type:\"point\",sx:t,sy:s};this._select(i,!0,this._select_mode(e))}_select(e,t,s){const i=this.model.callback;if(\"select\"==this.model.behavior){const o=this._computed_renderers_by_data_source();for(const[,a]of o){const o=a[0].get_selection_manager(),n=a.map(e=>this.plot_view.renderer_views.get(e));if(o.select(n,e,t,s)&&null!=i){const{frame:t}=this.plot_view,s=t.xscales[a[0].x_range_name],n=t.yscales[a[0].y_range_name],_=s.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:o.source};i.execute(this.model,l)}}this._emit_selection_event(e),this.plot_view.push_state(\"tap\",{selection:this.plot_view.get_selection()})}else for(const t of this.computed_renderers){const s=t.get_selection_manager();if(s.inspect(this.plot_view.renderer_views.get(t),e)&&null!=i){const{frame:o}=this.plot_view,a=o.xscales[t.x_range_name],n=o.yscales[t.y_range_name],_=a.invert(e.sx),c=n.invert(e.sy),l={geometries:Object.assign(Object.assign({},e),{x:_,y:c}),source:s.source};i.execute(this.model,l)}}}}s.TapToolView=_,_.__name__=\"TapToolView\";class c extends o.SelectTool{constructor(e){super(e),this.tool_name=\"Tap\",this.icon=n.bk_tool_icon_tap_select,this.event_type=\"tap\",this.default_order=10}static init_TapTool(){this.prototype.default_view=_,this.define({behavior:[a.TapBehavior,\"select\"],callback:[a.Any]}),this.register_alias(\"click\",()=>new c({behavior:\"inspect\"})),this.register_alias(\"tap\",()=>new c)}}s.TapTool=c,c.__name__=\"TapTool\",c.init_TapTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(284),i=n.__importStar(e(18)),a=e(287);class l extends o.GestureToolView{_scroll(e){let t=this.model.speed*e.delta;t>.9?t=.9:t<-.9&&(t=-.9),this._update_ranges(t)}_update_ranges(e){const{frame:t}=this.plot_view,s=t.bbox.h_range,n=t.bbox.v_range,[o,i]=[s.start,s.end],[a,l]=[n.start,n.end];let r,h,_,d;switch(this.model.dimension){case\"height\":{const t=Math.abs(l-a);r=o,h=i,_=a-t*e,d=l-t*e;break}case\"width\":{const t=Math.abs(i-o);r=o-t*e,h=i-t*e,_=a,d=l;break}default:throw new Error(\"this shouldn't have happened\")}const{xscales:c,yscales:p}=t,m={};for(const e in c){const t=c[e],[s,n]=t.r_invert(r,h);m[e]={start:s,end:n}}const u={};for(const e in p){const t=p[e],[s,n]=t.r_invert(_,d);u[e]={start:s,end:n}}const w={xrs:m,yrs:u,factor:e};this.plot_view.push_state(\"wheel_pan\",{range:w}),this.plot_view.update_range(w,!1,!0),null!=this.model.document&&this.model.document.interactive_start(this.plot_model)}}s.WheelPanToolView=l,l.__name__=\"WheelPanToolView\";class r extends o.GestureTool{constructor(e){super(e),this.tool_name=\"Wheel Pan\",this.icon=a.bk_tool_icon_wheel_pan,this.event_type=\"scroll\",this.default_order=12}static init_WheelPanTool(){this.prototype.default_view=l,this.define({dimension:[i.Dimension,\"width\"]}),this.internal({speed:[i.Number,.001]}),this.register_alias(\"xwheel_pan\",()=>new r({dimension:\"width\"})),this.register_alias(\"ywheel_pan\",()=>new r({dimension:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimension)}}s.WheelPanTool=r,r.__name__=\"WheelPanTool\",r.init_WheelPanTool()},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const s=e(1),i=e(284),l=e(330),n=s.__importStar(e(18)),_=e(28),h=e(287);class a extends i.GestureToolView{_pinch(e){const{sx:o,sy:t,scale:s,ctrlKey:i,shiftKey:l}=e;let n;n=s>=1?20*(s-1):-20/s,this._scroll({type:\"wheel\",sx:o,sy:t,delta:n,ctrlKey:i,shiftKey:l})}_scroll(e){const{frame:o}=this.plot_view,t=o.bbox.h_range,s=o.bbox.v_range,{sx:i,sy:n}=e,_=this.model.dimensions,h=(\"width\"==_||\"both\"==_)&&t.startnew m({dimensions:\"both\"})),this.register_alias(\"xwheel_zoom\",()=>new m({dimensions:\"width\"})),this.register_alias(\"ywheel_zoom\",()=>new m({dimensions:\"height\"}))}get tooltip(){return this._get_dim_tooltip(this.tool_name,this.dimensions)}}t.WheelZoomTool=m,m.__name__=\"WheelZoomTool\",m.init_WheelZoomTool()},\n", - " function _(i,s,e){Object.defineProperty(e,\"__esModule\",{value:!0});const t=i(1),o=i(274),n=i(141),l=t.__importStar(i(18)),h=i(17),a=i(287);class r extends o.InspectToolView{_move(i){if(!this.model.active)return;const{sx:s,sy:e}=i;this.plot_view.frame.bbox.contains(s,e)?this._update_spans(s,e):this._update_spans(null,null)}_move_exit(i){this._update_spans(null,null)}_update_spans(i,s){const e=this.model.dimensions;\"width\"!=e&&\"both\"!=e||(this.model.spans.width.location=s),\"height\"!=e&&\"both\"!=e||(this.model.spans.height.location=i)}}e.CrosshairToolView=r,r.__name__=\"CrosshairToolView\";class _ extends o.InspectTool{constructor(i){super(i),this.tool_name=\"Crosshair\",this.icon=a.bk_tool_icon_crosshair}static init_CrosshairTool(){this.prototype.default_view=r,this.define({dimensions:[l.Dimensions,\"both\"],line_color:[l.Color,\"black\"],line_width:[l.Number,1],line_alpha:[l.Number,1]}),this.internal({spans:[l.Any]}),this.register_alias(\"crosshair\",()=>new _)}get tooltip(){return this._get_dim_tooltip(\"Crosshair\",this.dimensions)}get synthetic_renderers(){return h.values(this.spans)}initialize(){super.initialize(),this.spans={width:new n.Span({for_hover:!0,dimension:\"width\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha}),height:new n.Span({for_hover:!0,dimension:\"height\",location_units:\"screen\",level:\"overlay\",line_color:this.line_color,line_width:this.line_width,line_alpha:this.line_alpha})}}}e.CrosshairTool=_,_.__name__=\"CrosshairTool\",_.init_CrosshairTool()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const r=e(1),o=e(71),i=r.__importStar(e(18)),a=e(17),n=e(24);class u extends o.Model{constructor(e){super(e)}static init_CustomJSHover(){this.define({args:[i.Any,{}],code:[i.String,\"\"]})}get values(){return a.values(this.args)}_make_code(e,t,s,r){return new Function(...a.keys(this.args),e,t,s,n.use_strict(r))}format(e,t,s){return this._make_code(\"value\",\"format\",\"special_vars\",this.code)(...this.values,e,t,s)}}s.CustomJSHover=u,u.__name__=\"CustomJSHover\",u.init_CustomJSHover()},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(1),o=e(274),i=e(144),r=e(81),l=e(100),a=e(341),c=n.__importStar(e(93)),d=e(160),_=e(68),p=n.__importStar(e(18)),h=e(20),m=e(17),u=e(8),y=e(99),x=e(287),f=e(145);function v(e,t,s,n,o,i){const r={x:o[e],y:i[e]},l={x:o[e+1],y:i[e+1]};let a,d;if(\"span\"==t.type)\"h\"==t.direction?(a=Math.abs(r.x-s),d=Math.abs(l.x-s)):(a=Math.abs(r.y-n),d=Math.abs(l.y-n));else{const e={x:s,y:n};a=c.dist_2_pts(r,e),d=c.dist_2_pts(l,e)}return athis._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.names.change,()=>this._computed_renderers=this._ttmodels=null),this.connect(this.model.properties.tooltips.change,()=>this._ttmodels=null)}_compute_ttmodels(){const e=new Map,t=this.model.tooltips;if(null!=t)for(const s of this.computed_renderers){const n=new i.Tooltip({custom:u.isString(t)||u.isFunction(t),attachment:this.model.attachment,show_arrow:this.model.show_arrow});s instanceof r.GlyphRenderer?e.set(s,n):s instanceof l.GraphRenderer&&(e.set(s.node_renderer,n),e.set(s.edge_renderer,n))}return y.build_views(this._ttviews,[...e.values()],{parent:this.plot_view}),e}get computed_renderers(){if(null==this._computed_renderers){const e=this.model.renderers,t=this.plot_model.renderers,s=this.model.names;this._computed_renderers=a.compute_renderers(e,t,s)}return this._computed_renderers}get ttmodels(){return null==this._ttmodels&&(this._ttmodels=this._compute_ttmodels()),this._ttmodels}_clear(){this._inspect(1/0,1/0);for(const[,e]of this.ttmodels)e.clear()}_move(e){if(!this.model.active)return;const{sx:t,sy:s}=e;this.plot_view.frame.bbox.contains(t,s)?this._inspect(t,s):this._clear()}_move_exit(){this._clear()}_inspect(e,t){let s;if(\"mouse\"==this.model.mode)s={type:\"point\",sx:e,sy:t};else{s={type:\"span\",direction:\"vline\"==this.model.mode?\"h\":\"v\",sx:e,sy:t}}for(const e of this.computed_renderers){e.get_selection_manager().inspect(this.plot_view.renderer_views.get(e),s)}null!=this.model.callback&&this._emit_callback(s)}_update([e,{geometry:t}]){if(!this.model.active)return;if(!(e instanceof r.GlyphRendererView))return;const{model:s}=e;if(\"ignore\"==this.model.muted_policy&&s instanceof r.GlyphRenderer&&s.muted)return;const n=this.ttmodels.get(s);if(null==n)return;n.clear();const o=s.get_selection_manager();let i=o.inspectors.get(s);if(s instanceof r.GlyphRenderer&&(i=s.view.convert_selection_to_subset(i)),i.is_empty())return;const l=o.source,{frame:a}=this.plot_view,{sx:c,sy:d}=t,_=a.xscales[s.x_range_name],p=a.yscales[s.y_range_name],h=_.invert(c),u=p.invert(d),y=e.glyph;for(const s of i.line_indices){let o,r,a=y._x[s+1],m=y._y[s+1],x=s;switch(this.model.line_policy){case\"interp\":[a,m]=y.get_interpolation_hit(s,t),o=_.compute(a),r=p.compute(m);break;case\"prev\":[[o,r],x]=w(y.sx,y.sy,s);break;case\"next\":[[o,r],x]=w(y.sx,y.sy,s+1);break;case\"nearest\":[[o,r],x]=v(s,t,c,d,y.sx,y.sy),a=y._x[x],m=y._y[x];break;default:[o,r]=[c,d]}const f={index:x,x:h,y:u,sx:c,sy:d,data_x:a,data_y:m,rx:o,ry:r,indices:i.line_indices,name:e.model.name};n.add(o,r,this._render_tooltips(l,x,f))}for(const e of i.image_indices){const t={index:e.index,x:h,y:u,sx:c,sy:d},s=this._render_tooltips(l,e,t);n.add(c,d,s)}for(const o of i.indices)if(m.isEmpty(i.multiline_indices)){const t=null!=y._x?y._x[o]:void 0,a=null!=y._y?y._y[o]:void 0;let _,p,m;if(\"snap_to_data\"==this.model.point_policy){let e=y.get_anchor_point(this.model.anchor,o,[c,d]);null==e&&(e=y.get_anchor_point(\"center\",o,[c,d])),_=e.x,p=e.y}else[_,p]=[c,d];m=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const x={index:m,x:h,y:u,sx:c,sy:d,data_x:t,data_y:a,indices:i.indices,name:e.model.name};n.add(_,p,this._render_tooltips(l,m,x))}else for(const a of i.multiline_indices[o.toString()]){let m,x,f,g=y._xs[o][a],b=y._ys[o][a],k=a;switch(this.model.line_policy){case\"interp\":[g,b]=y.get_interpolation_hit(o,a,t),m=_.compute(g),x=p.compute(b);break;case\"prev\":[[m,x],k]=w(y.sxs[o],y.sys[o],a);break;case\"next\":[[m,x],k]=w(y.sxs[o],y.sys[o],a+1);break;case\"nearest\":[[m,x],k]=v(a,t,c,d,y.sxs[o],y.sys[o]),g=y._xs[o][k],b=y._ys[o][k];break;default:throw new Error(\"should't have happened\")}f=s instanceof r.GlyphRenderer?s.view.convert_indices_from_subset([o])[0]:o;const T={index:f,x:h,y:u,sx:c,sy:d,data_x:g,data_y:b,segment_index:k,indices:i.multiline_indices,name:e.model.name};n.add(m,x,this._render_tooltips(l,f,T))}}_emit_callback(e){for(const t of this.computed_renderers){const s=t.data_source.inspected,{frame:n}=this.plot_view,o=n.xscales[t.x_range_name],i=n.yscales[t.y_range_name],r=o.invert(e.sx),l=i.invert(e.sy),a=Object.assign({x:r,y:l},e);this.model.callback.execute(this.model,{index:s,geometry:a,renderer:t})}}_render_tooltips(e,t,s){const n=this.model.tooltips;if(u.isString(n)){const o=_.div();return o.innerHTML=d.replace_placeholders(n,e,t,this.model.formatters,s),o}if(u.isFunction(n))return n(e,s);{const o=_.div({style:{display:\"table\",borderSpacing:\"2px\"}});for(const[i,r]of n){const n=_.div({style:{display:\"table-row\"}});let l;if(o.appendChild(n),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_label},0!=i.length?i+\": \":\"\"),n.appendChild(l),l=_.div({style:{display:\"table-cell\"},class:f.bk_tooltip_row_value}),n.appendChild(l),r.indexOf(\"$color\")>=0){const[,s=\"\",n]=r.match(/\\$color(\\[.*\\])?:(\\w*)/),o=e.get_column(n);if(null==o){const e=_.span({},n+\" unknown\");l.appendChild(e);continue}const i=s.indexOf(\"hex\")>=0,a=s.indexOf(\"swatch\")>=0;let c=u.isNumber(t)?o[t]:null;if(null==c){const e=_.span({},\"(null)\");l.appendChild(e);continue}i&&(c=h.color2hex(c));let d=_.span({},c);l.appendChild(d),a&&(d=_.span({class:f.bk_tooltip_color_block,style:{backgroundColor:c}},\" \"),l.appendChild(d))}else{const n=_.span();n.innerHTML=d.replace_placeholders(r.replace(\"$~\",\"$data_\"),e,t,this.model.formatters,s),l.appendChild(n)}}return o}}}s.HoverToolView=g,g.__name__=\"HoverToolView\";class b extends o.InspectTool{constructor(e){super(e),this.tool_name=\"Hover\",this.icon=x.bk_tool_icon_hover}static init_HoverTool(){this.prototype.default_view=g,this.define({tooltips:[p.Any,[[\"index\",\"$index\"],[\"data (x, y)\",\"($x, $y)\"],[\"screen (x, y)\",\"($sx, $sy)\"]]],formatters:[p.Any,{}],renderers:[p.Any,\"auto\"],names:[p.Array,[]],mode:[p.HoverMode,\"mouse\"],muted_policy:[p.MutedPolicy,\"show\"],point_policy:[p.PointPolicy,\"snap_to_data\"],line_policy:[p.LinePolicy,\"nearest\"],show_arrow:[p.Boolean,!0],anchor:[p.Anchor,\"center\"],attachment:[p.TooltipAttachment,\"horizontal\"],callback:[p.Any]}),this.register_alias(\"hover\",()=>new b)}}s.HoverTool=b,b.__name__=\"HoverTool\",b.init_HoverTool()},\n", - " function _(t,o,e){Object.defineProperty(e,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),n=t(14),s=t(71),l=t(274),c=t(356);class r extends s.Model{constructor(t){super(t)}static init_ToolProxy(){this.define({tools:[i.Array,[]],active:[i.Boolean,!1],disabled:[i.Boolean,!1]})}get button_view(){return this.tools[0].button_view}get event_type(){return this.tools[0].event_type}get tooltip(){return this.tools[0].tooltip}get tool_name(){return this.tools[0].tool_name}get icon(){return this.tools[0].computed_icon}get computed_icon(){return this.icon}get toggleable(){const t=this.tools[0];return t instanceof l.InspectTool&&t.toggleable}initialize(){super.initialize(),this.do=new n.Signal0(this,\"do\")}connect_signals(){super.connect_signals(),this.connect(this.do,()=>this.doit()),this.connect(this.properties.active.change,()=>this.set_active());for(const t of this.tools)this.connect(t.properties.active.change,()=>{this.active=t.active})}doit(){for(const t of this.tools)t.do.emit()}set_active(){for(const t of this.tools)t.active=this.active}get menu(){const{menu:t}=this.tools[0];if(null==t)return null;const o=[];for(const[e,i]of c.enumerate(t))if(null==e)o.push(null);else{const t=()=>{var t,o;for(const e of this.tools)null===(o=null===(t=e.menu)||void 0===t?void 0:t[i])||void 0===o||o.handler()};o.push(Object.assign(Object.assign({},e),{handler:t}))}return o}}e.ToolProxy=r,r.__name__=\"ToolProxy\",r.init_ToolProxy()},\n", - " function _(e,n,o){Object.defineProperty(o,\"__esModule\",{value:!0});const t=e(9);function*r(e,n){const o=e.length;if(n>o)return;const r=t.range(n);for(yield r.map(n=>e[n]);;){let f;for(const e of t.reversed(t.range(n)))if(r[e]!=e+o-n){f=e;break}if(null==f)return;r[f]+=1;for(const e of t.range(f+1,n))r[e]=r[e-1]+1;yield r.map(n=>e[n])}}o.enumerate=function*(e){let n=0;for(const o of e)yield[o,n++]},o.combinations=r,o.subsets=function*(e){for(const n of t.range(e.length+1))yield*r(e,n)}},\n", - " function _(t,o,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=t(1).__importStar(t(18)),e=t(9),n=t(283),r=t(355),l=t(245),c=t(188);class h extends n.ToolbarBase{constructor(t){super(t)}static init_ProxyToolbar(){this.define({toolbars:[i.Array,[]]})}initialize(){super.initialize(),this._merge_tools()}_merge_tools(){this._proxied_tools=[];const t={},o={},s={},i=[],n=[];for(const t of this.help)e.includes(n,t.redirect)||(i.push(t),n.push(t.redirect));this._proxied_tools.push(...i),this.help=i;for(const t in this.gestures){const o=this.gestures[t];t in s||(s[t]={});for(const i of o.tools)i.type in s[t]||(s[t][i.type]=[]),s[t][i.type].push(i)}for(const o of this.inspectors)o.type in t||(t[o.type]=[]),t[o.type].push(o);for(const t of this.actions)t.type in o||(o[t.type]=[]),o[t.type].push(t);const l=(t,o=!1)=>{const s=new r.ToolProxy({tools:t,active:o});return this._proxied_tools.push(s),s};for(const t in s){const o=this.gestures[t];o.tools=[];for(const i in s[t]){const e=s[t][i];if(e.length>0)if(\"multi\"==t)for(const t of e){const s=l([t]);o.tools.push(s),this.connect(s.properties.active.change,()=>this._active_change(s))}else{const t=l(e);o.tools.push(t),this.connect(t.properties.active.change,()=>this._active_change(t))}}}this.actions=[];for(const t in o){const s=o[t];if(\"CustomAction\"==t)for(const t of s)this.actions.push(l([t]));else s.length>0&&this.actions.push(l(s))}this.inspectors=[];for(const o in t){const s=t[o];s.length>0&&this.inspectors.push(l(s,!0))}for(const t in this.gestures){const o=this.gestures[t];0!=o.tools.length&&(o.tools=e.sort_by(o.tools,t=>t.default_order),\"pinch\"!=t&&\"scroll\"!=t&&\"multi\"!=t&&(o.tools[0].active=!0))}}}s.ProxyToolbar=h,h.__name__=\"ProxyToolbar\",h.init_ProxyToolbar();class a extends l.LayoutDOMView{initialize(){this.model.toolbar.toolbar_location=this.model.toolbar_location,super.initialize()}get child_models(){return[this.model.toolbar]}_update_layout(){this.layout=new c.ContentBox(this.child_views[0].el);const{toolbar:t}=this.model;t.horizontal?this.layout.set_sizing({width_policy:\"fit\",min_width:100,height_policy:\"fixed\"}):this.layout.set_sizing({width_policy:\"fixed\",height_policy:\"fit\",min_height:100})}}s.ToolbarBoxView=a,a.__name__=\"ToolbarBoxView\";class _ extends l.LayoutDOM{constructor(t){super(t)}static init_ToolbarBox(){this.prototype.default_view=a,this.define({toolbar:[i.Instance],toolbar_location:[i.Location,\"right\"]})}}s.ToolbarBox=_,_.__name__=\"ToolbarBox\",_.init_ToolbarBox()},\n", - " function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=e(5),i=e(66),d=e(99),c=e(68),l=e(359);t.index={},t.add_document_standalone=async function(e,n,s=[],a=!1){const u=new Map;async function r(o){let a;const r=e.roots().indexOf(o),f=s[r];null!=f?a=f:n.classList.contains(l.BOKEH_ROOT)?a=n:(a=c.div({class:l.BOKEH_ROOT}),n.appendChild(a));const v=await d.build_view(o,{parent:null});return v instanceof i.DOMView&&v.renderTo(a),u.set(o,v),t.index[o.id]=v,v}for(const n of e.roots())await r(n);return a&&(window.document.title=e.title()),e.on_change(e=>{e instanceof o.RootAddedEvent?r(e.model):e instanceof o.RootRemovedEvent?function(e){const n=u.get(e);null!=n&&(n.remove(),u.delete(e),delete t.index[e.id])}(e.model):a&&e instanceof o.TitleChangedEvent&&(window.document.title=e.title)}),[...u.values()]}},\n", - " function _(e,o,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(68),r=e(246);function l(e){let o=document.getElementById(e);if(null==o)throw new Error(`Error rendering Bokeh model: could not find #${e} HTML tag`);if(!document.body.contains(o))throw new Error(`Error rendering Bokeh model: element #${e} must be under `);if(\"SCRIPT\"==o.tagName){const e=t.div({class:n.BOKEH_ROOT});t.replaceWith(o,e),o=e}return o}n.BOKEH_ROOT=r.bk_root,n._resolve_element=function(e){const{elementid:o}=e;return null!=o?l(o):document.body},n._resolve_root_elements=function(e){const o=[];if(null!=e.root_ids&&null!=e.roots)for(const n of e.root_ids)o.push(l(e.roots[n]));return o}},\n", - " function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const e=n(361),s=n(72),c=n(358);t._get_ws_url=function(n,o){let t,e=\"ws:\";return\"https:\"==window.location.protocol&&(e=\"wss:\"),null!=o?(t=document.createElement(\"a\"),t.href=o):t=window.location,null!=n?\"/\"==n&&(n=\"\"):n=t.pathname.replace(/\\/+$/,\"\"),e+\"//\"+t.host+n+\"/ws\"};const r={};t.add_document_from_session=async function(n,o,t,a=[],i=!1){const l=window.location.search.substr(1);let d;try{d=await function(n,o,t){const s=e.parse_token(o).session_id;n in r||(r[n]={});const c=r[n];return s in c||(c[s]=e.pull_session(n,o,t)),c[s]}(n,o,l)}catch(n){const t=e.parse_token(o).session_id;throw s.logger.error(`Failed to load Bokeh session ${t}: ${n}`),n}return c.add_document_standalone(d.document,t,a,i)}},\n", - " function _(e,s,n){Object.defineProperty(n,\"__esModule\",{value:!0});const t=e(72),o=e(5),r=e(362),i=e(363),c=e(364);n.DEFAULT_SERVER_WEBSOCKET_URL=\"ws://localhost:5006/ws\",n.DEFAULT_TOKEN=\"eyJzZXNzaW9uX2lkIjogImRlZmF1bHQifQ\";let l=0;function _(e){let s=e.split(\".\")[0];const n=s.length%4;return 0!=n&&(s+=\"=\".repeat(4-n)),JSON.parse(atob(s.replace(/_/g,\"/\").replace(/-/g,\"+\")))}n.parse_token=_;class h{constructor(e=n.DEFAULT_SERVER_WEBSOCKET_URL,s=n.DEFAULT_TOKEN,o=null){this.url=e,this.token=s,this.args_string=o,this._number=l++,this.socket=null,this.session=null,this.closed_permanently=!1,this._current_handler=null,this._pending_replies=new Map,this._pending_messages=[],this._receiver=new i.Receiver,this.id=_(s).session_id.split(\".\")[0],t.logger.debug(`Creating websocket ${this._number} to '${this.url}' session '${this.id}'`)}async connect(){if(this.closed_permanently)throw new Error(\"Cannot connect() a closed ClientConnection\");if(null!=this.socket)throw new Error(\"Already connected\");this._current_handler=null,this._pending_replies.clear(),this._pending_messages=[];try{let e=\"\"+this.url;return null!=this.args_string&&this.args_string.length>0&&(e+=\"?\"+this.args_string),this.socket=new WebSocket(e,[\"bokeh\",this.token]),new Promise((e,s)=>{this.socket.binaryType=\"arraybuffer\",this.socket.onopen=()=>this._on_open(e,s),this.socket.onmessage=e=>this._on_message(e),this.socket.onclose=e=>this._on_close(e,s),this.socket.onerror=()=>this._on_error(s)})}catch(e){throw t.logger.error(\"websocket creation failed to url: \"+this.url),t.logger.error(\" - \"+e),e}}close(){this.closed_permanently||(t.logger.debug(\"Permanently closing websocket connection \"+this._number),this.closed_permanently=!0,null!=this.socket&&this.socket.close(1e3,\"close method called on ClientConnection \"+this._number),this.session._connection_closed())}_schedule_reconnect(e){setTimeout(()=>{this.closed_permanently||t.logger.info(`Websocket connection ${this._number} disconnected, will not attempt to reconnect`)},e)}send(e){if(null==this.socket)throw new Error(\"not connected so cannot send \"+e);e.send(this.socket)}async send_with_reply(e){const s=await new Promise((s,n)=>{this._pending_replies.set(e.msgid(),{resolve:s,reject:n}),this.send(e)});if(\"ERROR\"===s.msgtype())throw new Error(\"Error reply \"+s.content.text);return s}async _pull_doc_json(){const e=r.Message.create(\"PULL-DOC-REQ\",{}),s=await this.send_with_reply(e);if(!(\"doc\"in s.content))throw new Error(\"No 'doc' field in PULL-DOC-REPLY\");return s.content.doc}async _repull_session_doc(e,s){var n;t.logger.debug(this.session?\"Repulling session\":\"Pulling session for first time\");try{const n=await this._pull_doc_json();if(null==this.session)if(this.closed_permanently)t.logger.debug(\"Got new document after connection was already closed\"),s(new Error(\"The connection has been closed\"));else{const s=o.Document.from_json(n),i=o.Document._compute_patch_since_json(n,s);if(i.events.length>0){t.logger.debug(`Sending ${i.events.length} changes from model construction back to server`);const e=r.Message.create(\"PATCH-DOC\",{},i);this.send(e)}this.session=new c.ClientSession(this,s,this.id);for(const e of this._pending_messages)this.session.handle(e);this._pending_messages=[],t.logger.debug(\"Created a new session from new pulled doc\"),e(this.session)}else this.session.document.replace_with_json(n),t.logger.debug(\"Updated existing session with new pulled doc\")}catch(e){null===(n=console.trace)||void 0===n||n.call(console,e),t.logger.error(\"Failed to repull session \"+e),s(e)}}_on_open(e,s){t.logger.info(`Websocket connection ${this._number} is now open`),this._current_handler=n=>{this._awaiting_ack_handler(n,e,s)}}_on_message(e){null==this._current_handler&&t.logger.error(\"Got a message with no current handler set\");try{this._receiver.consume(e.data)}catch(e){this._close_bad_protocol(e.toString())}const s=this._receiver.message;if(null!=s){const e=s.problem();null!=e&&this._close_bad_protocol(e),this._current_handler(s)}}_on_close(e,s){t.logger.info(`Lost websocket ${this._number} connection, ${e.code} (${e.reason})`),this.socket=null,this._pending_replies.forEach(e=>e.reject(\"Disconnected\")),this._pending_replies.clear(),this.closed_permanently||this._schedule_reconnect(2e3),s(new Error(`Lost websocket connection, ${e.code} (${e.reason})`))}_on_error(e){t.logger.debug(\"Websocket error on socket \"+this._number);const s=\"Could not open websocket\";t.logger.error(\"Failed to connect to Bokeh server: \"+s),e(new Error(s))}_close_bad_protocol(e){t.logger.error(\"Closing connection: \"+e),null!=this.socket&&this.socket.close(1002,e)}_awaiting_ack_handler(e,s,n){\"ACK\"===e.msgtype()?(this._current_handler=e=>this._steady_state_handler(e),this._repull_session_doc(s,n)):this._close_bad_protocol(\"First message was not an ACK\")}_steady_state_handler(e){const s=e.reqid(),n=this._pending_replies.get(s);n?(this._pending_replies.delete(s),n.resolve(e)):this.session?this.session.handle(e):\"PATCH-DOC\"!=e.msgtype()&&this._pending_messages.push(e)}}n.ClientConnection=h,h.__name__=\"ClientConnection\",n.pull_session=function(e,s,n){return new h(e,s,n).connect()}},\n", - " function _(e,s,t){Object.defineProperty(t,\"__esModule\",{value:!0});const r=e(24);class n{constructor(e,s,t){this.header=e,this.metadata=s,this.content=t,this.buffers=new Map}static assemble(e,s,t){const r=JSON.parse(e),i=JSON.parse(s),a=JSON.parse(t);return new n(r,i,a)}assemble_buffer(e,s){const t=null!=this.header.num_buffers?this.header.num_buffers:0;if(t<=this.buffers.size)throw new Error(\"too many buffers received, expecting \"+t);const{id:r}=JSON.parse(e);this.buffers.set(r,s)}static create(e,s,t={}){const r=n.create_header(e);return new n(r,s,t)}static create_header(e){return{msgid:r.uniqueId(),msgtype:e}}complete(){return null!=this.header&&null!=this.metadata&&null!=this.content&&(null==this.header.num_buffers||this.buffers.size==this.header.num_buffers)}send(e){if((null!=this.header.num_buffers?this.header.num_buffers:0)>0)throw new Error(\"BokehJS only supports receiving buffers, not sending\");const s=JSON.stringify(this.header),t=JSON.stringify(this.metadata),r=JSON.stringify(this.content);e.send(s),e.send(t),e.send(r)}msgid(){return this.header.msgid}msgtype(){return this.header.msgtype}reqid(){return this.header.reqid}problem(){return\"msgid\"in this.header?\"msgtype\"in this.header?null:\"No msgtype in header\":\"No msgid in header\"}}t.Message=n,n.__name__=\"Message\"},\n", - " function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const _=e(362),r=e(8);class i{constructor(){this.message=null,this._partial=null,this._fragments=[],this._buf_header=null,this._current_consumer=this._HEADER}consume(e){this._current_consumer(e)}_HEADER(e){this._assume_text(e),this.message=null,this._partial=null,this._fragments=[e],this._buf_header=null,this._current_consumer=this._METADATA}_METADATA(e){this._assume_text(e),this._fragments.push(e),this._current_consumer=this._CONTENT}_CONTENT(e){this._assume_text(e),this._fragments.push(e);const[t,s,r]=this._fragments.slice(0,3);this._partial=_.Message.assemble(t,s,r),this._check_complete()}_BUFFER_HEADER(e){this._assume_text(e),this._buf_header=e,this._current_consumer=this._BUFFER_PAYLOAD}_BUFFER_PAYLOAD(e){this._assume_binary(e),this._partial.assemble_buffer(this._buf_header,e),this._check_complete()}_assume_text(e){if(!r.isString(e))throw new Error(\"Expected text fragment but received binary fragment\")}_assume_binary(e){if(!(e instanceof ArrayBuffer))throw new Error(\"Expected binary fragment but received text fragment\")}_check_complete(){this._partial.complete()?(this.message=this._partial,this._current_consumer=this._HEADER):this._current_consumer=this._BUFFER_HEADER}}s.Receiver=i,i.__name__=\"Receiver\"},\n", - " function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const o=e(5),s=e(362),c=e(72);class i{constructor(e,t,n){this._connection=e,this.document=t,this.id=n,this._document_listener=e=>{this._document_changed(e)},this.document.on_change(this._document_listener,!0)}handle(e){const t=e.msgtype();\"PATCH-DOC\"===t?this._handle_patch(e):\"OK\"===t?this._handle_ok(e):\"ERROR\"===t?this._handle_error(e):c.logger.debug(\"Doing nothing with message \"+e.msgtype())}close(){this._connection.close()}_connection_closed(){this.document.remove_on_change(this._document_listener)}async request_server_info(){const e=s.Message.create(\"SERVER-INFO-REQ\",{});return(await this._connection.send_with_reply(e)).content}async force_roundtrip(){await this.request_server_info()}_document_changed(e){if(e.setter_id===this.id)return;const t=e instanceof o.DocumentEventBatch?e.events:[e],n=this.document.create_json_patch(t),c=s.Message.create(\"PATCH-DOC\",{},n);this._connection.send(c)}_handle_patch(e){this.document.apply_json_patch(e.content,e.buffers,this.id)}_handle_ok(e){c.logger.trace(\"Unhandled OK reply to \"+e.reqid())}_handle_error(e){c.logger.error(`Unhandled ERROR reply to ${e.reqid()}: ${e.content.text}`)}}n.ClientSession=i,i.__name__=\"ClientSession\"},\n", - " function _(e,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1);var r=this&&this.__asyncValues||function(e){if(!Symbol.asyncIterator)throw new TypeError(\"Symbol.asyncIterator is not defined.\");var o,t=e[Symbol.asyncIterator];return t?t.call(e):(e=\"function\"==typeof __values?__values(e):e[Symbol.iterator](),o={},n(\"next\"),n(\"throw\"),n(\"return\"),o[Symbol.asyncIterator]=function(){return this},o);function n(t){o[t]=e[t]&&function(o){return new Promise((function(n,r){(function(e,o,t,n){Promise.resolve(n).then((function(o){e({value:o,done:t})}),o)})(n,r,(o=e[t](o)).done,o.value)}))}}};const s=e(5),i=e(363),l=e(72),a=e(68),c=e(17),u=e(358),f=e(359),g=n.__importDefault(e(69)),m=n.__importDefault(e(289)),d=n.__importDefault(e(366));function p(e,o){o.buffers.length>0?e.consume(o.buffers[0].buffer):e.consume(o.content.data);const t=e.message;null!=t&&this.apply_json_patch(t.content,t.buffers)}function _(e,o){if(\"undefined\"!=typeof Jupyter&&null!=Jupyter.notebook.kernel){l.logger.info(\"Registering Jupyter comms for target \"+e);const t=Jupyter.notebook.kernel.comm_manager;try{t.register_target(e,t=>{l.logger.info(\"Registering Jupyter comms for target \"+e);const n=new i.Receiver;t.on_msg(p.bind(o,n))})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(o.roots()[0].id in t.kernels){l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=t.kernels[o.roots()[0].id];try{n.registerCommTarget(e,t=>{l.logger.info(\"Registering JupyterLab comms for target \"+e);const n=new i.Receiver;t.onMsg=p.bind(o,n)})}catch(e){l.logger.warn(`Jupyter comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else if(\"undefined\"!=typeof google&&null!=google.colab.kernel){l.logger.info(\"Registering Google Colab comms for target \"+e);const t=google.colab.kernel.comms;try{t.registerTarget(e,async t=>{var n,s,a;l.logger.info(\"Registering Google Colab comms for target \"+e);const c=new i.Receiver;try{for(var u,f=r(t.messages);!(u=await f.next()).done;){const e=u.value,t={data:e.data},n=[];for(const o of null!==(a=e.buffers)&&void 0!==a?a:[])n.push(new DataView(o));const r={content:t,buffers:n};p.bind(o)(c,r)}}catch(e){n={error:e}}finally{try{u&&!u.done&&(s=f.return)&&await s.call(f)}finally{if(n)throw n.error}}})}catch(e){l.logger.warn(`Google Colab comms failed to register. push_notebook() will not function. (exception reported: ${e})`)}}else console.warn(\"Jupyter notebooks comms not available. push_notebook() will not function. If running JupyterLab ensure the latest @bokeh/jupyter_bokeh extension is installed. In an exported notebook this warning is expected.\")}a.stylesheet.append(g.default),a.stylesheet.append(m.default),a.stylesheet.append(d.default),t.kernels={},t.embed_items_notebook=function(e,o){if(1!=c.size(e))throw new Error(\"embed_items_notebook expects exactly one document in docs_json\");const t=s.Document.from_json(c.values(e)[0]);for(const e of o){null!=e.notebook_comms_target&&_(e.notebook_comms_target,t);const o=f._resolve_element(e),n=f._resolve_root_elements(e);u.add_document_standalone(t,o,n)}}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});o.default=\"\\n/* notebook specific tweaks so no black outline and matching padding\\n/* can't be wrapped inside bk-root. here are the offending jupyter lines:\\n/* https://github.com/jupyter/notebook/blob/master/notebook/static/notebook/less/renderedhtml.less#L59-L76 */\\n.rendered_html .bk-root .bk-tooltip table,\\n.rendered_html .bk-root .bk-tooltip tr,\\n.rendered_html .bk-root .bk-tooltip th,\\n.rendered_html .bk-root .bk-tooltip td {\\n border: none;\\n padding: 1px;\\n}\\n\"},\n", - " function _(e,t,_){Object.defineProperty(_,\"__esModule\",{value:!0});const o=e(1);o.__exportStar(e(362),_),o.__exportStar(e(363),_)},\n", - " function _(e,t,n){function s(){const e=document.getElementsByTagName(\"body\")[0],t=document.getElementsByClassName(\"bokeh-test-div\");1==t.length&&(e.removeChild(t[0]),delete t[0]);const n=document.createElement(\"div\");n.classList.add(\"bokeh-test-div\"),n.style.display=\"none\",e.insertBefore(n,e.firstChild)}Object.defineProperty(n,\"__esModule\",{value:!0}),n.results={},n.init=function(){s()},n.record0=function(e,t){n.results[e]=t},n.record=function(e,t){n.results[e]=t,s()},n.count=function(e){null==n.results[e]&&(n.results[e]=0),n.results[e]+=1,s()}},\n", - " function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0}),o.safely=function(e,t=!1){try{return e()}catch(e){if(function(e){const t=document.createElement(\"div\");t.style.backgroundColor=\"#f2dede\",t.style.border=\"1px solid #a94442\",t.style.borderRadius=\"4px\",t.style.display=\"inline-block\",t.style.fontFamily=\"sans-serif\",t.style.marginTop=\"5px\",t.style.minWidth=\"200px\",t.style.padding=\"5px 5px 5px 10px\",t.classList.add(\"bokeh-error-box-into-flames\");const o=document.createElement(\"span\");o.style.backgroundColor=\"#a94442\",o.style.borderRadius=\"0px 4px 0px 0px\",o.style.color=\"white\",o.style.cursor=\"pointer\",o.style.cssFloat=\"right\",o.style.fontSize=\"0.8em\",o.style.margin=\"-6px -6px 0px 0px\",o.style.padding=\"2px 5px 4px 5px\",o.title=\"close\",o.setAttribute(\"aria-label\",\"close\"),o.appendChild(document.createTextNode(\"x\")),o.addEventListener(\"click\",()=>r.removeChild(t));const n=document.createElement(\"h3\");n.style.color=\"#a94442\",n.style.margin=\"8px 0px 0px 0px\",n.style.padding=\"0px\",n.appendChild(document.createTextNode(\"Bokeh Error\"));const l=document.createElement(\"pre\");l.style.whiteSpace=\"unset\",l.style.overflowX=\"auto\";const s=e instanceof Error?e.message:e;l.appendChild(document.createTextNode(s)),t.appendChild(o),t.appendChild(n),t.appendChild(l);const r=document.getElementsByTagName(\"body\")[0];r.insertBefore(t,r.firstChild)}(e),t)return;throw e}}},\n", - " ], 0, {\"main\":0,\"tslib\":1,\"index\":2,\"version\":3,\"embed/index\":4,\"document/index\":5,\"document/document\":6,\"base\":7,\"core/util/types\":8,\"core/util/array\":9,\"core/util/math\":10,\"core/util/assert\":11,\"core/util/arrayable\":12,\"core/has_props\":13,\"core/signaling\":14,\"core/util/callback\":15,\"core/util/refs\":16,\"core/util/object\":17,\"core/properties\":18,\"core/enums\":19,\"core/util/color\":20,\"core/util/svg_colors\":21,\"core/settings\":22,\"core/property_mixins\":23,\"core/util/string\":24,\"core/util/eq\":25,\"core/util/ndarray\":26,\"core/util/serialization\":27,\"core/util/compat\":28,\"models/index\":29,\"models/annotations/index\":30,\"models/annotations/annotation\":31,\"core/util/projections\":32,\"models/renderers/renderer\":65,\"core/dom_view\":66,\"core/view\":67,\"core/dom\":68,\"styles/root.css\":69,\"core/visuals\":70,\"model\":71,\"core/logging\":72,\"styles/annotations.css\":73,\"models/annotations/arrow\":74,\"models/annotations/arrow_head\":75,\"models/sources/column_data_source\":76,\"models/sources/columnar_data_source\":77,\"models/sources/data_source\":78,\"models/selections/selection\":79,\"core/selection_manager\":80,\"models/renderers/glyph_renderer\":81,\"models/renderers/data_renderer\":82,\"models/glyphs/line\":83,\"models/glyphs/xy_glyph\":84,\"core/util/spatial\":85,\"core/util/bbox\":88,\"models/glyphs/glyph\":89,\"models/ranges/factor_range\":90,\"models/ranges/range\":91,\"models/glyphs/utils\":92,\"core/hittest\":93,\"models/glyphs/patch\":94,\"models/glyphs/harea\":95,\"models/glyphs/area\":96,\"models/glyphs/varea\":97,\"models/sources/cds_view\":98,\"core/build_views\":99,\"models/renderers/graph_renderer\":100,\"models/graphs/graph_hit_test_policy\":101,\"models/selections/interaction_policy\":102,\"core/util/typed_array\":103,\"core/util/set\":104,\"document/events\":105,\"models/annotations/band\":106,\"models/annotations/box_annotation\":107,\"models/annotations/color_bar\":108,\"models/tickers/basic_ticker\":109,\"models/tickers/adaptive_ticker\":110,\"models/tickers/continuous_ticker\":111,\"models/tickers/ticker\":112,\"models/formatters/basic_tick_formatter\":113,\"models/formatters/tick_formatter\":114,\"models/mappers/linear_color_mapper\":115,\"models/mappers/continuous_color_mapper\":116,\"models/mappers/color_mapper\":117,\"models/mappers/mapper\":118,\"models/transforms/transform\":119,\"models/scales/linear_scale\":120,\"models/scales/continuous_scale\":121,\"models/scales/scale\":122,\"models/transforms/index\":123,\"models/transforms/customjs_transform\":124,\"models/transforms/dodge\":125,\"models/transforms/interpolator\":126,\"models/transforms/jitter\":127,\"models/transforms/linear_interpolator\":128,\"models/transforms/step_interpolator\":129,\"models/scales/log_scale\":130,\"models/ranges/range1d\":131,\"core/util/text\":132,\"models/annotations/label\":133,\"models/annotations/text_annotation\":134,\"models/annotations/label_set\":135,\"models/annotations/legend\":136,\"models/annotations/legend_item\":137,\"core/vectorization\":138,\"models/annotations/poly_annotation\":139,\"models/annotations/slope\":140,\"models/annotations/span\":141,\"models/annotations/title\":142,\"models/annotations/toolbar_panel\":143,\"models/annotations/tooltip\":144,\"styles/tooltips\":145,\"styles/mixins\":146,\"styles/tooltips.css\":147,\"models/annotations/whisker\":148,\"models/axes/index\":149,\"models/axes/axis\":150,\"models/renderers/guide_renderer\":151,\"models/axes/categorical_axis\":152,\"models/tickers/categorical_ticker\":153,\"models/formatters/categorical_tick_formatter\":154,\"models/axes/continuous_axis\":155,\"models/axes/datetime_axis\":156,\"models/axes/linear_axis\":157,\"models/formatters/datetime_tick_formatter\":158,\"core/util/templating\":160,\"models/tickers/datetime_ticker\":163,\"models/tickers/composite_ticker\":164,\"models/tickers/days_ticker\":165,\"models/tickers/single_interval_ticker\":166,\"models/tickers/util\":167,\"models/tickers/months_ticker\":168,\"models/tickers/years_ticker\":169,\"models/axes/log_axis\":170,\"models/formatters/log_tick_formatter\":171,\"models/tickers/log_ticker\":172,\"models/axes/mercator_axis\":173,\"models/formatters/mercator_tick_formatter\":174,\"models/tickers/mercator_ticker\":175,\"models/callbacks/index\":176,\"models/callbacks/customjs\":177,\"models/callbacks/callback\":178,\"models/callbacks/open_url\":179,\"models/canvas/index\":180,\"models/canvas/canvas\":181,\"core/util/canvas\":182,\"core/util/svg\":183,\"models/canvas/cartesian_frame\":184,\"models/scales/categorical_scale\":185,\"models/ranges/data_range1d\":186,\"models/ranges/data_range\":187,\"core/layout/index\":188,\"core/layout/types\":189,\"core/layout/layoutable\":190,\"core/layout/alignments\":191,\"core/layout/grid\":192,\"core/layout/html\":193,\"models/expressions/index\":194,\"models/expressions/expression\":195,\"models/expressions/stack\":196,\"models/expressions/cumsum\":197,\"models/filters/index\":198,\"models/filters/boolean_filter\":199,\"models/filters/filter\":200,\"models/filters/customjs_filter\":201,\"models/filters/group_filter\":202,\"models/filters/index_filter\":203,\"models/formatters/index\":204,\"models/formatters/func_tick_formatter\":205,\"models/formatters/numeral_tick_formatter\":206,\"models/formatters/printf_tick_formatter\":207,\"models/glyphs/index\":208,\"models/glyphs/annular_wedge\":209,\"models/glyphs/annulus\":210,\"models/glyphs/arc\":211,\"models/glyphs/bezier\":212,\"models/glyphs/circle\":213,\"models/glyphs/center_rotatable\":214,\"models/glyphs/ellipse\":215,\"models/glyphs/ellipse_oval\":216,\"models/glyphs/hbar\":217,\"models/glyphs/box\":218,\"models/glyphs/hex_tile\":219,\"models/glyphs/image\":220,\"models/glyphs/image_base\":221,\"models/glyphs/image_rgba\":222,\"models/glyphs/image_url\":223,\"core/util/image\":224,\"models/glyphs/multi_line\":225,\"models/glyphs/multi_polygons\":226,\"models/glyphs/oval\":227,\"models/glyphs/patches\":228,\"models/glyphs/quad\":229,\"models/glyphs/quadratic\":230,\"models/glyphs/ray\":231,\"models/glyphs/rect\":232,\"models/glyphs/segment\":233,\"models/glyphs/step\":234,\"models/glyphs/text\":235,\"models/glyphs/vbar\":236,\"models/glyphs/wedge\":237,\"models/graphs/index\":238,\"models/graphs/layout_provider\":239,\"models/graphs/static_layout_provider\":240,\"models/grids/index\":241,\"models/grids/grid\":242,\"models/layouts/index\":243,\"models/layouts/box\":244,\"models/layouts/layout_dom\":245,\"styles/root\":246,\"models/layouts/column\":247,\"models/layouts/grid_box\":248,\"models/layouts/html_box\":249,\"models/layouts/row\":250,\"models/layouts/spacer\":251,\"models/layouts/tabs\":252,\"styles/tabs\":253,\"styles/buttons\":254,\"styles/menus\":255,\"styles/buttons.css\":256,\"styles/menus.css\":257,\"styles/tabs.css\":258,\"models/layouts/widget_box\":259,\"models/mappers/index\":260,\"models/mappers/categorical_color_mapper\":261,\"models/mappers/categorical_mapper\":262,\"models/mappers/categorical_marker_mapper\":263,\"models/mappers/categorical_pattern_mapper\":264,\"models/mappers/log_color_mapper\":265,\"models/markers/index\":266,\"models/markers/defs\":267,\"models/markers/marker\":268,\"models/markers/scatter\":269,\"models/plots/index\":270,\"models/plots/gmap_plot\":271,\"models/plots/plot\":272,\"models/tools/toolbar\":273,\"models/tools/inspectors/inspect_tool\":274,\"models/tools/button_tool\":275,\"models/tools/tool\":277,\"styles/toolbar\":278,\"styles/toolbar.css\":279,\"styles/icons.css\":280,\"core/util/menus\":281,\"models/tools/on_off_button\":282,\"models/tools/toolbar_base\":283,\"models/tools/gestures/gesture_tool\":284,\"models/tools/actions/action_tool\":285,\"models/tools/actions/help_tool\":286,\"styles/icons\":287,\"styles/logo\":288,\"styles/logo.css\":289,\"models/plots/plot_canvas\":290,\"core/bokeh_events\":291,\"core/ui_events\":292,\"core/util/wheel\":293,\"core/util/throttle\":294,\"core/layout/side_panel\":295,\"models/plots/gmap_plot_canvas\":296,\"models/ranges/index\":297,\"models/renderers/index\":298,\"models/scales/index\":299,\"models/selections/index\":300,\"models/sources/index\":301,\"models/sources/server_sent_data_source\":302,\"models/sources/web_data_source\":303,\"models/sources/ajax_data_source\":304,\"models/sources/geojson_data_source\":305,\"models/tickers/index\":306,\"models/tickers/fixed_ticker\":307,\"models/tiles/index\":308,\"models/tiles/bbox_tile_source\":309,\"models/tiles/mercator_tile_source\":310,\"models/tiles/tile_source\":311,\"models/tiles/tile_utils\":312,\"models/tiles/quadkey_tile_source\":313,\"models/tiles/tile_renderer\":314,\"models/tiles/wmts_tile_source\":315,\"styles/tiles\":316,\"styles/tiles.css\":317,\"models/tiles/tms_tile_source\":318,\"models/textures/index\":319,\"models/textures/canvas_texture\":320,\"models/textures/texture\":321,\"models/textures/image_url_texture\":322,\"models/tools/index\":323,\"models/tools/actions/custom_action\":324,\"models/tools/actions/redo_tool\":325,\"models/tools/actions/reset_tool\":326,\"models/tools/actions/save_tool\":327,\"models/tools/actions/undo_tool\":328,\"models/tools/actions/zoom_in_tool\":329,\"core/util/zoom\":330,\"models/tools/actions/zoom_out_tool\":331,\"models/tools/edit/edit_tool\":332,\"models/tools/edit/box_edit_tool\":333,\"models/tools/edit/freehand_draw_tool\":334,\"models/tools/edit/point_draw_tool\":335,\"models/tools/edit/poly_draw_tool\":336,\"models/tools/edit/poly_tool\":337,\"models/tools/edit/poly_edit_tool\":338,\"models/tools/gestures/box_select_tool\":339,\"models/tools/gestures/select_tool\":340,\"models/tools/util\":341,\"models/tools/gestures/box_zoom_tool\":342,\"models/tools/gestures/lasso_select_tool\":343,\"models/tools/edit/line_edit_tool\":344,\"models/tools/edit/line_tool\":345,\"models/tools/gestures/pan_tool\":346,\"models/tools/gestures/poly_select_tool\":347,\"models/tools/gestures/range_tool\":348,\"models/tools/gestures/tap_tool\":349,\"models/tools/gestures/wheel_pan_tool\":350,\"models/tools/gestures/wheel_zoom_tool\":351,\"models/tools/inspectors/crosshair_tool\":352,\"models/tools/inspectors/customjs_hover\":353,\"models/tools/inspectors/hover_tool\":354,\"models/tools/tool_proxy\":355,\"core/util/iterator\":356,\"models/tools/toolbar_box\":357,\"embed/standalone\":358,\"embed/dom\":359,\"embed/server\":360,\"client/connection\":361,\"protocol/message\":362,\"protocol/receiver\":363,\"client/session\":364,\"embed/notebook\":365,\"styles/notebook.css\":366,\"protocol/index\":367,\"testing\":368,\"safely\":369}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-widgets.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.1.1\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 390: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(391));o.Widgets=r,e(7).register_models(r)},\n", - " 391: function _(r,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});var a=r(392);t.AbstractButton=a.AbstractButton;var o=r(395);t.AbstractIcon=o.AbstractIcon;var u=r(396);t.AutocompleteInput=u.AutocompleteInput;var n=r(401);t.Button=n.Button;var i=r(402);t.CheckboxButtonGroup=i.CheckboxButtonGroup;var v=r(404);t.CheckboxGroup=v.CheckboxGroup;var p=r(406);t.ColorPicker=p.ColorPicker;var l=r(407);t.DatePicker=l.DatePicker;var c=r(410);t.DateRangeSlider=c.DateRangeSlider;var d=r(416);t.DateSlider=d.DateSlider;var g=r(417);t.Div=g.Div;var I=r(421);t.Dropdown=I.Dropdown;var S=r(422);t.FileInput=S.FileInput;var P=r(398);t.InputWidget=P.InputWidget;var k=r(418);t.Markup=k.Markup;var x=r(423);t.MultiSelect=x.MultiSelect;var D=r(424);t.Paragraph=D.Paragraph;var b=r(425);t.PasswordInput=b.PasswordInput;var s=r(426);t.MultiChoice=s.MultiChoice;var h=r(429);t.PreText=h.PreText;var A=r(430);t.RadioButtonGroup=A.RadioButtonGroup;var B=r(431);t.RadioGroup=B.RadioGroup;var C=r(432);t.RangeSlider=C.RangeSlider;var G=r(433);t.Select=G.Select;var R=r(434);t.Slider=R.Slider;var T=r(435);t.Spinner=T.Spinner;var M=r(397);t.TextInput=M.TextInput;var w=r(436);t.TextAreaInput=w.TextAreaInput;var W=r(437);t.Toggle=W.Toggle;var _=r(458);t.Widget=_.Widget},\n", - " 392: function _(t,e,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=t(1),s=i.__importStar(t(18)),o=t(68),l=t(99),r=t(393),_=t(254),c=i.__importDefault(t(256));class u extends r.ControlView{*controls(){yield this.button_el}async lazy_initialize(){await super.lazy_initialize();const{icon:t}=this.model;null!=t&&(this.icon_view=await l.build_view(t,{parent:this}))}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}remove(){null!=this.icon_view&&this.icon_view.remove(),super.remove()}styles(){return[...super.styles(),c.default]}_render_button(...t){return o.button({type:\"button\",disabled:this.model.disabled,class:[_.bk_btn,_.bk_btn_type(this.model.button_type)]},...t)}render(){super.render(),this.button_el=this._render_button(this.model.label),this.button_el.addEventListener(\"click\",()=>this.click()),null!=this.icon_view&&(o.prepend(this.button_el,this.icon_view.el,o.nbsp()),this.icon_view.render()),this.group_el=o.div({class:_.bk_btn_group},this.button_el),this.el.appendChild(this.group_el)}click(){}}n.AbstractButtonView=u,u.__name__=\"AbstractButtonView\";class a extends r.Control{constructor(t){super(t)}static init_AbstractButton(){this.define({label:[s.String,\"Button\"],icon:[s.Instance],button_type:[s.ButtonType,\"default\"]})}}n.AbstractButton=a,a.__name__=\"AbstractButton\",a.init_AbstractButton()},\n", - " 393: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const s=e(458),n=e(68);class i extends s.WidgetView{connect_signals(){super.connect_signals();const e=this.model.properties;this.on_change(e.disabled,()=>{for(const e of this.controls())n.toggle_attribute(e,\"disabled\",this.model.disabled)})}}o.ControlView=i,i.__name__=\"ControlView\";class l extends s.Widget{constructor(e){super(e)}}o.Control=l,l.__name__=\"Control\"},\n", - " 458: function _(i,e,t){Object.defineProperty(t,\"__esModule\",{value:!0});const o=i(1),n=i(249),r=o.__importStar(i(18));class _ extends n.HTMLBoxView{_width_policy(){return\"horizontal\"==this.model.orientation?super._width_policy():\"fixed\"}_height_policy(){return\"horizontal\"==this.model.orientation?\"fixed\":super._height_policy()}box_sizing(){const i=super.box_sizing();return\"horizontal\"==this.model.orientation?null==i.width&&(i.width=this.model.default_size):null==i.height&&(i.height=this.model.default_size),i}}t.WidgetView=_,_.__name__=\"WidgetView\";class s extends n.HTMLBox{constructor(i){super(i)}static init_Widget(){this.define({orientation:[r.Orientation,\"horizontal\"],default_size:[r.Number,300]}),this.override({margin:[5,5,5,5]})}}t.Widget=s,s.__name__=\"Widget\",s.init_Widget()},\n", - " 395: function _(e,t,c){Object.defineProperty(c,\"__esModule\",{value:!0});const s=e(71),n=e(66);class o extends n.DOMView{}c.AbstractIconView=o,o.__name__=\"AbstractIconView\";class _ extends s.Model{constructor(e){super(e)}}c.AbstractIcon=_,_.__name__=\"AbstractIcon\"},\n", - " 396: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const i=e(1),s=e(397),h=e(68),_=i.__importStar(e(18)),o=e(10),u=e(146),r=e(255),c=i.__importDefault(e(257));class l extends s.TextInputView{constructor(){super(...arguments),this._open=!1,this._last_value=\"\",this._hover_index=0}styles(){return[...super.styles(),c.default]}render(){super.render(),this.input_el.addEventListener(\"keydown\",e=>this._keydown(e)),this.input_el.addEventListener(\"keyup\",e=>this._keyup(e)),this.menu=h.div({class:[r.bk_menu,u.bk_below]}),this.menu.addEventListener(\"click\",e=>this._menu_click(e)),this.menu.addEventListener(\"mouseover\",e=>this._menu_hover(e)),this.el.appendChild(this.menu),h.undisplay(this.menu)}change_input(){this._open&&this.menu.children.length>0&&(this.model.value=this.menu.children[this._hover_index].textContent,this.input_el.focus(),this._hide_menu())}_update_completions(e){h.empty(this.menu);for(const t of e){const e=h.div({},t);this.menu.appendChild(e)}e.length>0&&this.menu.children[0].classList.add(u.bk_active)}_show_menu(){if(!this._open){this._open=!0,this._hover_index=0,this._last_value=this.model.value,h.display(this.menu);const e=t=>{const{target:n}=t;n instanceof HTMLElement&&!this.el.contains(n)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,h.undisplay(this.menu))}_menu_click(e){e.target!=e.currentTarget&&e.target instanceof Element&&(this.model.value=e.target.textContent,this.input_el.focus(),this._hide_menu())}_menu_hover(e){if(e.target!=e.currentTarget&&e.target instanceof Element){let t=0;for(t=0;t0&&(this.menu.children[this._hover_index].classList.remove(u.bk_active),this._hover_index=o.clamp(e,0,t-1),this.menu.children[this._hover_index].classList.add(u.bk_active))}_keydown(e){}_keyup(e){switch(e.keyCode){case h.Keys.Enter:this.change_input();break;case h.Keys.Esc:this._hide_menu();break;case h.Keys.Up:this._bump_hover(this._hover_index-1);break;case h.Keys.Down:this._bump_hover(this._hover_index+1);break;default:{const e=this.input_el.value;if(e.lengthe:e=>e.toLowerCase();for(const n of this.model.completions)i(n).startsWith(i(e))&&t.push(n);this._update_completions(t),0==t.length?this._hide_menu():this._show_menu()}}}}n.AutocompleteInputView=l,l.__name__=\"AutocompleteInputView\";class a extends s.TextInput{constructor(e){super(e)}static init_AutocompleteInput(){this.prototype.default_view=l,this.define({completions:[_.Array,[]],min_characters:[_.Int,2],case_sensitive:[_.Boolean,!0]})}}n.AutocompleteInput=a,a.__name__=\"AutocompleteInput\",a.init_AutocompleteInput()},\n", - " 397: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),p=n.__importStar(e(18)),u=e(400);class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.value_input.change,()=>this.input_el.value=this.model.value_input),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder)}render(){super.render(),this.input_el=l.input({type:\"text\",class:u.bk_input,name:this.model.name,value:this.model.value,disabled:this.model.disabled,placeholder:this.model.placeholder}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.input_el.addEventListener(\"input\",()=>this.change_input_oninput()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}change_input_oninput(){this.model.value_input=this.input_el.value,super.change_input()}}i.TextInputView=a,a.__name__=\"TextInputView\";class h extends s.InputWidget{constructor(e){super(e)}static init_TextInput(){this.prototype.default_view=a,this.define({value:[p.String,\"\"],value_input:[p.String,\"\"],placeholder:[p.String,\"\"]})}}i.TextInput=h,h.__name__=\"TextInput\",h.init_TextInput()},\n", - " 398: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(1),l=t(393),s=t(68),_=n.__importStar(t(18)),o=n.__importDefault(t(399)),r=t(400);class p extends l.ControlView{*controls(){yield this.input_el}connect_signals(){super.connect_signals(),this.connect(this.model.properties.title.change,()=>{this.label_el.textContent=this.model.title})}styles(){return[...super.styles(),o.default]}render(){super.render();const{title:t}=this.model;this.label_el=s.label({style:{display:0==t.length?\"none\":\"\"}},t),this.group_el=s.div({class:r.bk_input_group},this.label_el),this.el.appendChild(this.group_el)}change_input(){}}i.InputWidgetView=p,p.__name__=\"InputWidgetView\";class u extends l.Control{constructor(t){super(t)}static init_InputWidget(){this.define({title:[_.String,\"\"]})}}i.InputWidget=u,u.__name__=\"InputWidget\",u.init_InputWidget()},\n", - " 399: function _(n,o,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-input {\\n display: inline-block;\\n width: 100%;\\n flex-grow: 1;\\n -webkit-flex-grow: 1;\\n min-height: 31px;\\n padding: 0 12px;\\n background-color: #fff;\\n border: 1px solid #ccc;\\n border-radius: 4px;\\n}\\n.bk-root .bk-input:focus {\\n border-color: #66afe9;\\n outline: 0;\\n box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6);\\n}\\n.bk-root .bk-input::placeholder,\\n.bk-root .bk-input:-ms-input-placeholder,\\n.bk-root .bk-input::-moz-placeholder,\\n.bk-root .bk-input::-webkit-input-placeholder {\\n color: #999;\\n opacity: 1;\\n}\\n.bk-root .bk-input[disabled] {\\n cursor: not-allowed;\\n background-color: #eee;\\n opacity: 1;\\n}\\n.bk-root select:not([multiple]).bk-input,\\n.bk-root select:not([size]).bk-input {\\n height: auto;\\n appearance: none;\\n -webkit-appearance: none;\\n background-image: url(\\'data:image/svg+xml;utf8,\\');\\n background-position: right 0.5em center;\\n background-size: 8px 6px;\\n background-repeat: no-repeat;\\n}\\n.bk-root select[multiple].bk-input,\\n.bk-root select[size].bk-input,\\n.bk-root textarea.bk-input {\\n height: auto;\\n}\\n.bk-root .bk-input-group {\\n width: 100%;\\n height: 100%;\\n display: inline-flex;\\n display: -webkit-inline-flex;\\n flex-wrap: nowrap;\\n -webkit-flex-wrap: nowrap;\\n align-items: start;\\n -webkit-align-items: start;\\n flex-direction: column;\\n -webkit-flex-direction: column;\\n white-space: nowrap;\\n}\\n.bk-root .bk-input-group.bk-inline {\\n flex-direction: row;\\n -webkit-flex-direction: row;\\n}\\n.bk-root .bk-input-group.bk-inline > *:not(:first-child) {\\n margin-left: 5px;\\n}\\n.bk-root .bk-input-group input[type=\"checkbox\"] + span,\\n.bk-root .bk-input-group input[type=\"radio\"] + span {\\n position: relative;\\n top: -2px;\\n margin-left: 3px;\\n}\\n'},\n", - " 400: function _(u,e,n){Object.defineProperty(n,\"__esModule\",{value:!0}),n.bk_input=\"bk-input\",n.bk_input_group=\"bk-input-group\"},\n", - " 401: function _(t,e,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=t(392),o=t(291);class s extends n.AbstractButtonView{click(){this.model.clicks=this.model.clicks+1,this.model.trigger_event(new o.ButtonClick),super.click()}}i.ButtonView=s,s.__name__=\"ButtonView\";class c extends n.AbstractButton{constructor(t){super(t)}static init_Button(){this.prototype.default_view=s,this.override({label:\"Button\"})}}i.Button=c,c.__name__=\"Button\",c.init_Button()},\n", - " 402: function _(t,e,o){Object.defineProperty(o,\"__esModule\",{value:!0});const i=t(1),c=t(403),s=t(68),n=i.__importStar(t(18)),a=t(146);class u extends c.ButtonGroupView{get active(){return new Set(this.model.active)}change_active(t){const{active:e}=this;e.has(t)?e.delete(t):e.add(t),this.model.active=[...e].sort()}_update_active(){const{active:t}=this;this._buttons.forEach((e,o)=>{s.classes(e).toggle(a.bk_active,t.has(o))})}}o.CheckboxButtonGroupView=u,u.__name__=\"CheckboxButtonGroupView\";class r extends c.ButtonGroup{constructor(t){super(t)}static init_CheckboxButtonGroup(){this.prototype.default_view=u,this.define({active:[n.Array,[]]})}}o.CheckboxButtonGroup=r,r.__name__=\"CheckboxButtonGroup\",r.init_CheckboxButtonGroup()},\n", - " 403: function _(t,e,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=t(1),o=t(393),i=t(68),r=n.__importStar(t(18)),_=t(254),u=n.__importDefault(t(256));class a extends o.ControlView{*controls(){yield*this._buttons}connect_signals(){super.connect_signals();const t=this.model.properties;this.on_change(t.button_type,()=>this.render()),this.on_change(t.labels,()=>this.render()),this.on_change(t.active,()=>this._update_active())}styles(){return[...super.styles(),u.default]}render(){super.render(),this._buttons=this.model.labels.map((t,e)=>{const s=i.div({class:[_.bk_btn,_.bk_btn_type(this.model.button_type)],disabled:this.model.disabled},t);return s.addEventListener(\"click\",()=>this.change_active(e)),s}),this._update_active();const t=i.div({class:_.bk_btn_group},this._buttons);this.el.appendChild(t)}}s.ButtonGroupView=a,a.__name__=\"ButtonGroupView\";class l extends o.Control{constructor(t){super(t)}static init_ButtonGroup(){this.define({labels:[r.Array,[]],button_type:[r.ButtonType,\"default\"]})}}s.ButtonGroup=l,l.__name__=\"ButtonGroup\",l.init_ButtonGroup()},\n", - " 404: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(405),o=e(68),c=e(9),a=n.__importStar(e(18)),l=e(146),d=e(400);class r extends s.InputGroupView{render(){super.render();const e=o.div({class:[d.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const{active:t,labels:i}=this.model;this._inputs=[];for(let n=0;nthis.change_active(n)),this._inputs.push(s),this.model.disabled&&(s.disabled=!0),c.includes(t,n)&&(s.checked=!0);const a=o.label({},s,o.span({},i[n]));e.appendChild(a)}}change_active(e){const t=new Set(this.model.active);t.has(e)?t.delete(e):t.add(e),this.model.active=[...t].sort()}}i.CheckboxGroupView=r,r.__name__=\"CheckboxGroupView\";class p extends s.InputGroup{constructor(e){super(e)}static init_CheckboxGroup(){this.prototype.default_view=r,this.define({active:[a.Array,[]],labels:[a.Array,[]],inline:[a.Boolean,!1]})}}i.CheckboxGroup=p,p.__name__=\"CheckboxGroup\",p.init_CheckboxGroup()},\n", - " 405: function _(e,t,n){Object.defineProperty(n,\"__esModule\",{value:!0});const s=e(1),o=e(393),r=s.__importDefault(e(399));class u extends o.ControlView{*controls(){yield*this._inputs}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render())}styles(){return[...super.styles(),r.default]}}n.InputGroupView=u,u.__name__=\"InputGroupView\";class _ extends o.Control{constructor(e){super(e)}}n.InputGroup=_,_.__name__=\"InputGroup\"},\n", - " 406: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),o=e(398),s=e(68),l=n.__importStar(e(18)),r=e(400);class c extends o.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.color.change,()=>this.input_el.value=this.model.color),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled)}render(){super.render(),this.input_el=s.input({type:\"color\",class:r.bk_input,name:this.model.name,value:this.model.color,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.color=this.input_el.value,super.change_input()}}t.ColorPickerView=c,c.__name__=\"ColorPickerView\";class d extends o.InputWidget{constructor(e){super(e)}static init_ColorPicker(){this.prototype.default_view=c,this.define({color:[l.Color,\"#000000\"]})}}t.ColorPicker=d,d.__name__=\"ColorPicker\",d.init_ColorPicker()},\n", - " 407: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=n.__importDefault(e(408)),a=e(398),l=e(68),o=n.__importStar(e(18)),r=e(8),d=e(400),c=n.__importDefault(e(409));function u(e){const t=[];for(const i of e)if(r.isString(i))t.push(i);else{const[e,n]=i;t.push({from:e,to:n})}return t}class _ extends a.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,min_date:t,max_date:i,disabled_dates:n,enabled_dates:s,position:a,inline:l}=this.model.properties;this.connect(e.change,()=>{var t;return null===(t=this._picker)||void 0===t?void 0:t.setDate(e.value())}),this.connect(t.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"minDate\",t.value())}),this.connect(i.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"maxDate\",i.value())}),this.connect(n.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"disable\",n.value())}),this.connect(s.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"enable\",s.value())}),this.connect(a.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"position\",a.value())}),this.connect(l.change,()=>{var e;return null===(e=this._picker)||void 0===e?void 0:e.set(\"inline\",l.value())})}remove(){var e;null===(e=this._picker)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),c.default]}render(){null==this._picker&&(super.render(),this.input_el=l.input({type:\"text\",class:d.bk_input,disabled:this.model.disabled}),this.group_el.appendChild(this.input_el),this._picker=s.default(this.input_el,{defaultDate:this.model.value,minDate:this.model.min_date,maxDate:this.model.max_date,inline:this.model.inline,position:this.model.position,disable:u(this.model.disabled_dates),enable:u(this.model.enabled_dates),onChange:(e,t,i)=>this._on_change(e,t,i)}))}_on_change(e,t,i){this.model.value=t,this.change_input()}}i.DatePickerView=_,_.__name__=\"DatePickerView\";class h extends a.InputWidget{constructor(e){super(e)}static init_DatePicker(){this.prototype.default_view=_,this.define({value:[o.Any],min_date:[o.Any],max_date:[o.Any],disabled_dates:[o.Any,[]],enabled_dates:[o.Any,[]],position:[o.CalendarPosition,\"auto\"],inline:[o.Boolean,!1]})}}i.DatePicker=h,h.__name__=\"DatePicker\",h.init_DatePicker()},\n", - " 408: function _(e,t,n){\n", - " /* flatpickr v4.6.3, @license MIT */var a,i;a=this,i=function(){\"use strict\";\n", - " /*! *****************************************************************************\n", - " Copyright (c) Microsoft Corporation. All rights reserved.\n", - " Licensed under the Apache License, Version 2.0 (the \"License\"); you may not use\n", - " this file except in compliance with the License. You may obtain a copy of the\n", - " License at http://www.apache.org/licenses/LICENSE-2.0\n", - " \n", - " THIS CODE IS PROVIDED ON AN *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n", - " KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED\n", - " WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,\n", - " MERCHANTABLITY OR NON-INFRINGEMENT.\n", - " \n", - " See the Apache Version 2.0 License for specific language governing permissions\n", - " and limitations under the License.\n", - " ***************************************************************************** */var e=function(){return(e=Object.assign||function(e){for(var t,n=1,a=arguments.length;n\",noCalendar:!1,now:new Date,onChange:[],onClose:[],onDayCreate:[],onDestroy:[],onKeyDown:[],onMonthChange:[],onOpen:[],onParseConfig:[],onReady:[],onValueUpdate:[],onYearChange:[],onPreCalendarPosition:[],plugins:[],position:\"auto\",positionElement:void 0,prevArrow:\"\",shorthandCurrentMonth:!1,showMonths:1,static:!1,time_24hr:!1,weekNumbers:!1,wrap:!1},a={weekdays:{shorthand:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],longhand:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"]},months:{shorthand:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],longhand:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"]},daysInMonth:[31,28,31,30,31,30,31,31,30,31,30,31],firstDayOfWeek:0,ordinal:function(e){var t=e%100;if(t>3&&t<21)return\"th\";switch(t%10){case 1:return\"st\";case 2:return\"nd\";case 3:return\"rd\";default:return\"th\"}},rangeSeparator:\" to \",weekAbbreviation:\"Wk\",scrollTitle:\"Scroll to increment\",toggleTitle:\"Click to toggle\",amPM:[\"AM\",\"PM\"],yearAriaLabel:\"Year\",hourAriaLabel:\"Hour\",minuteAriaLabel:\"Minute\",time_24hr:!1},i=function(e){return(\"0\"+e).slice(-2)},o=function(e){return!0===e?1:0};function r(e,t,n){var a;return void 0===n&&(n=!1),function(){var i=this,o=arguments;null!==a&&clearTimeout(a),a=window.setTimeout((function(){a=null,n||e.apply(i,o)}),t),n&&!a&&e.apply(i,o)}}var l=function(e){return e instanceof Array?e:[e]};function c(e,t,n){if(!0===n)return e.classList.add(t);e.classList.remove(t)}function d(e,t,n){var a=window.document.createElement(e);return t=t||\"\",n=n||\"\",a.className=t,void 0!==n&&(a.textContent=n),a}function s(e){for(;e.firstChild;)e.removeChild(e.firstChild)}function u(e,t){var n=d(\"div\",\"numInputWrapper\"),a=d(\"input\",\"numInput \"+e),i=d(\"span\",\"arrowUp\"),o=d(\"span\",\"arrowDown\");if(-1===navigator.userAgent.indexOf(\"MSIE 9.0\")?a.type=\"number\":(a.type=\"text\",a.pattern=\"\\\\d*\"),void 0!==t)for(var r in t)a.setAttribute(r,t[r]);return n.appendChild(a),n.appendChild(i),n.appendChild(o),n}var f=function(){},m=function(e,t,n){return n.months[t?\"shorthand\":\"longhand\"][e]},g={D:f,F:function(e,t,n){e.setMonth(n.months.longhand.indexOf(t))},G:function(e,t){e.setHours(parseFloat(t))},H:function(e,t){e.setHours(parseFloat(t))},J:function(e,t){e.setDate(parseFloat(t))},K:function(e,t,n){e.setHours(e.getHours()%12+12*o(new RegExp(n.amPM[1],\"i\").test(t)))},M:function(e,t,n){e.setMonth(n.months.shorthand.indexOf(t))},S:function(e,t){e.setSeconds(parseFloat(t))},U:function(e,t){return new Date(1e3*parseFloat(t))},W:function(e,t,n){var a=parseInt(t),i=new Date(e.getFullYear(),0,2+7*(a-1),0,0,0,0);return i.setDate(i.getDate()-i.getDay()+n.firstDayOfWeek),i},Y:function(e,t){e.setFullYear(parseFloat(t))},Z:function(e,t){return new Date(t)},d:function(e,t){e.setDate(parseFloat(t))},h:function(e,t){e.setHours(parseFloat(t))},i:function(e,t){e.setMinutes(parseFloat(t))},j:function(e,t){e.setDate(parseFloat(t))},l:f,m:function(e,t){e.setMonth(parseFloat(t)-1)},n:function(e,t){e.setMonth(parseFloat(t)-1)},s:function(e,t){e.setSeconds(parseFloat(t))},u:function(e,t){return new Date(parseFloat(t))},w:f,y:function(e,t){e.setFullYear(2e3+parseFloat(t))}},p={D:\"(\\\\w+)\",F:\"(\\\\w+)\",G:\"(\\\\d\\\\d|\\\\d)\",H:\"(\\\\d\\\\d|\\\\d)\",J:\"(\\\\d\\\\d|\\\\d)\\\\w+\",K:\"\",M:\"(\\\\w+)\",S:\"(\\\\d\\\\d|\\\\d)\",U:\"(.+)\",W:\"(\\\\d\\\\d|\\\\d)\",Y:\"(\\\\d{4})\",Z:\"(.+)\",d:\"(\\\\d\\\\d|\\\\d)\",h:\"(\\\\d\\\\d|\\\\d)\",i:\"(\\\\d\\\\d|\\\\d)\",j:\"(\\\\d\\\\d|\\\\d)\",l:\"(\\\\w+)\",m:\"(\\\\d\\\\d|\\\\d)\",n:\"(\\\\d\\\\d|\\\\d)\",s:\"(\\\\d\\\\d|\\\\d)\",u:\"(.+)\",w:\"(\\\\d\\\\d|\\\\d)\",y:\"(\\\\d{2})\"},h={Z:function(e){return e.toISOString()},D:function(e,t,n){return t.weekdays.shorthand[h.w(e,t,n)]},F:function(e,t,n){return m(h.n(e,t,n)-1,!1,t)},G:function(e,t,n){return i(h.h(e,t,n))},H:function(e){return i(e.getHours())},J:function(e,t){return void 0!==t.ordinal?e.getDate()+t.ordinal(e.getDate()):e.getDate()},K:function(e,t){return t.amPM[o(e.getHours()>11)]},M:function(e,t){return m(e.getMonth(),!0,t)},S:function(e){return i(e.getSeconds())},U:function(e){return e.getTime()/1e3},W:function(e,t,n){return n.getWeek(e)},Y:function(e){return e.getFullYear()},d:function(e){return i(e.getDate())},h:function(e){return e.getHours()%12?e.getHours()%12:12},i:function(e){return i(e.getMinutes())},j:function(e){return e.getDate()},l:function(e,t){return t.weekdays.longhand[e.getDay()]},m:function(e){return i(e.getMonth()+1)},n:function(e){return e.getMonth()+1},s:function(e){return e.getSeconds()},u:function(e){return e.getTime()},w:function(e){return e.getDay()},y:function(e){return String(e.getFullYear()).substring(2)}},v=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,n){var a=n||r;return void 0!==i.formatDate?i.formatDate(e,t,a):t.split(\"\").map((function(t,n,o){return h[t]&&\"\\\\\"!==o[n-1]?h[t](e,a,i):\"\\\\\"!==t?t:\"\"})).join(\"\")}},D=function(e){var t=e.config,i=void 0===t?n:t,o=e.l10n,r=void 0===o?a:o;return function(e,t,a,o){if(0===e||e){var l,c=o||r,d=e;if(e instanceof Date)l=new Date(e.getTime());else if(\"string\"!=typeof e&&void 0!==e.toFixed)l=new Date(e);else if(\"string\"==typeof e){var s=t||(i||n).dateFormat,u=String(e).trim();if(\"today\"===u)l=new Date,a=!0;else if(/Z$/.test(u)||/GMT$/.test(u))l=new Date(e);else if(i&&i.parseDate)l=i.parseDate(e,s);else{l=i&&i.noCalendar?new Date((new Date).setHours(0,0,0,0)):new Date((new Date).getFullYear(),0,1,0,0,0,0);for(var f=void 0,m=[],h=0,v=0,D=\"\";hr&&(s=n===h.hourElement?s-r-o(!h.amPM):a,f&&Y(void 0,1,h.hourElement)),h.amPM&&u&&(1===l?s+c===23:Math.abs(s-c)>l)&&(h.amPM.textContent=h.l10n.amPM[o(h.amPM.textContent===h.l10n.amPM[0])]),n.value=i(s)}}(e);var t=h._input.value;E(),ve(),h._input.value!==t&&h._debouncedChange()}function E(){if(void 0!==h.hourElement&&void 0!==h.minuteElement){var e,t,n=(parseInt(h.hourElement.value.slice(-2),10)||0)%24,a=(parseInt(h.minuteElement.value,10)||0)%60,i=void 0!==h.secondElement?(parseInt(h.secondElement.value,10)||0)%60:0;void 0!==h.amPM&&(e=n,t=h.amPM.textContent,n=e%12+12*o(t===h.l10n.amPM[1]));var r=void 0!==h.config.minTime||h.config.minDate&&h.minDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.minDate,!0);if(void 0!==h.config.maxTime||h.config.maxDate&&h.maxDateHasTime&&h.latestSelectedDateObj&&0===w(h.latestSelectedDateObj,h.config.maxDate,!0)){var l=void 0!==h.config.maxTime?h.config.maxTime:h.config.maxDate;(n=Math.min(n,l.getHours()))===l.getHours()&&(a=Math.min(a,l.getMinutes())),a===l.getMinutes()&&(i=Math.min(i,l.getSeconds()))}if(r){var c=void 0!==h.config.minTime?h.config.minTime:h.config.minDate;(n=Math.max(n,c.getHours()))===c.getHours()&&(a=Math.max(a,c.getMinutes())),a===c.getMinutes()&&(i=Math.max(i,c.getSeconds()))}I(n,a,i)}}function T(e){var t=e||h.latestSelectedDateObj;t&&I(t.getHours(),t.getMinutes(),t.getSeconds())}function k(){var e=h.config.defaultHour,t=h.config.defaultMinute,n=h.config.defaultSeconds;if(void 0!==h.config.minDate){var a=h.config.minDate.getHours(),i=h.config.minDate.getMinutes();(e=Math.max(e,a))===a&&(t=Math.max(i,t)),e===a&&t===i&&(n=h.config.minDate.getSeconds())}if(void 0!==h.config.maxDate){var o=h.config.maxDate.getHours(),r=h.config.maxDate.getMinutes();(e=Math.min(e,o))===o&&(t=Math.min(r,t)),e===o&&t===r&&(n=h.config.maxDate.getSeconds())}I(e,t,n)}function I(e,t,n){void 0!==h.latestSelectedDateObj&&h.latestSelectedDateObj.setHours(e%24,t,n||0,0),h.hourElement&&h.minuteElement&&!h.isMobile&&(h.hourElement.value=i(h.config.time_24hr?e:(12+e)%12+12*o(e%12==0)),h.minuteElement.value=i(t),void 0!==h.amPM&&(h.amPM.textContent=h.l10n.amPM[o(e>=12)]),void 0!==h.secondElement&&(h.secondElement.value=i(n)))}function S(e){var t=parseInt(e.target.value)+(e.delta||0);(t/1e3>1||\"Enter\"===e.key&&!/[^\\d]/.test(t.toString()))&&V(t)}function O(e,t,n,a){return t instanceof Array?t.forEach((function(t){return O(e,t,n,a)})):e instanceof Array?e.forEach((function(e){return O(e,t,n,a)})):(e.addEventListener(t,n,a),void h._handlers.push({element:e,event:t,handler:n,options:a}))}function _(e){return function(t){1===t.which&&e(t)}}function F(){fe(\"onChange\")}function N(e,t){var n=void 0!==e?h.parseDate(e):h.latestSelectedDateObj||(h.config.minDate&&h.config.minDate>h.now?h.config.minDate:h.config.maxDate&&h.config.maxDate=0&&w(e,h.selectedDates[1])<=0}(t)&&!ge(t)&&o.classList.add(\"inRange\"),h.weekNumbers&&1===h.config.showMonths&&\"prevMonthDay\"!==e&&n%7==1&&h.weekNumbers.insertAdjacentHTML(\"beforeend\",\"\"+h.config.getWeek(t)+\"\"),fe(\"onDayCreate\",o),o}function j(e){e.focus(),\"range\"===h.config.mode&&ee(e)}function H(e){for(var t=e>0?0:h.config.showMonths-1,n=e>0?h.config.showMonths:-1,a=t;a!=n;a+=e)for(var i=h.daysContainer.children[a],o=e>0?0:i.children.length-1,r=e>0?i.children.length:-1,l=o;l!=r;l+=e){var c=i.children[l];if(-1===c.className.indexOf(\"hidden\")&&Z(c.dateObj))return c}}function L(e,t){var n=Q(document.activeElement||document.body),a=void 0!==e?e:n?document.activeElement:void 0!==h.selectedDateElem&&Q(h.selectedDateElem)?h.selectedDateElem:void 0!==h.todayDateElem&&Q(h.todayDateElem)?h.todayDateElem:H(t>0?1:-1);return void 0===a?h._input.focus():n?void function(e,t){for(var n=-1===e.className.indexOf(\"Month\")?e.dateObj.getMonth():h.currentMonth,a=t>0?h.config.showMonths:-1,i=t>0?1:-1,o=n-h.currentMonth;o!=a;o+=i)for(var r=h.daysContainer.children[o],l=n-h.currentMonth===o?e.$i+t:t<0?r.children.length-1:0,c=r.children.length,d=l;d>=0&&d0?c:-1);d+=i){var s=r.children[d];if(-1===s.className.indexOf(\"hidden\")&&Z(s.dateObj)&&Math.abs(e.$i-d)>=Math.abs(t))return j(s)}h.changeMonth(i),L(H(i),0)}(a,t):j(a)}function W(e,t){for(var n=(new Date(e,t,1).getDay()-h.l10n.firstDayOfWeek+7)%7,a=h.utils.getDaysInMonth((t-1+12)%12),i=h.utils.getDaysInMonth(t),o=window.document.createDocumentFragment(),r=h.config.showMonths>1,l=r?\"prevMonthDay hidden\":\"prevMonthDay\",c=r?\"nextMonthDay hidden\":\"nextMonthDay\",s=a+1-n,u=0;s<=a;s++,u++)o.appendChild(A(l,new Date(e,t-1,s),s,u));for(s=1;s<=i;s++,u++)o.appendChild(A(\"\",new Date(e,t,s),s,u));for(var f=i+1;f<=42-n&&(1===h.config.showMonths||u%7!=0);f++,u++)o.appendChild(A(c,new Date(e,t+1,f%i),f,u));var m=d(\"div\",\"dayContainer\");return m.appendChild(o),m}function R(){if(void 0!==h.daysContainer){s(h.daysContainer),h.weekNumbers&&s(h.weekNumbers);for(var e=document.createDocumentFragment(),t=0;t1||\"dropdown\"!==h.config.monthSelectorType)){var e=function(e){return!(void 0!==h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&eh.config.maxDate.getMonth())};h.monthsDropdownContainer.tabIndex=-1,h.monthsDropdownContainer.innerHTML=\"\";for(var t=0;t<12;t++)if(e(t)){var n=d(\"option\",\"flatpickr-monthDropdown-month\");n.value=new Date(h.currentYear,t).getMonth().toString(),n.textContent=m(t,h.config.shorthandCurrentMonth,h.l10n),n.tabIndex=-1,h.currentMonth===t&&(n.selected=!0),h.monthsDropdownContainer.appendChild(n)}}}function J(){var e,t=d(\"div\",\"flatpickr-month\"),n=window.document.createDocumentFragment();h.config.showMonths>1||\"static\"===h.config.monthSelectorType?e=d(\"span\",\"cur-month\"):(h.monthsDropdownContainer=d(\"select\",\"flatpickr-monthDropdown-months\"),O(h.monthsDropdownContainer,\"change\",(function(e){var t=e.target,n=parseInt(t.value,10);h.changeMonth(n-h.currentMonth),fe(\"onMonthChange\")})),B(),e=h.monthsDropdownContainer);var a=u(\"cur-year\",{tabindex:\"-1\"}),i=a.getElementsByTagName(\"input\")[0];i.setAttribute(\"aria-label\",h.l10n.yearAriaLabel),h.config.minDate&&i.setAttribute(\"min\",h.config.minDate.getFullYear().toString()),h.config.maxDate&&(i.setAttribute(\"max\",h.config.maxDate.getFullYear().toString()),i.disabled=!!h.config.minDate&&h.config.minDate.getFullYear()===h.config.maxDate.getFullYear());var o=d(\"div\",\"flatpickr-current-month\");return o.appendChild(e),o.appendChild(a),n.appendChild(o),t.appendChild(n),{container:t,yearElement:i,monthElement:e}}function K(){s(h.monthNav),h.monthNav.appendChild(h.prevMonthNav),h.config.showMonths&&(h.yearElements=[],h.monthElements=[]);for(var e=h.config.showMonths;e--;){var t=J();h.yearElements.push(t.yearElement),h.monthElements.push(t.monthElement),h.monthNav.appendChild(t.container)}h.monthNav.appendChild(h.nextMonthNav)}function U(){h.weekdayContainer?s(h.weekdayContainer):h.weekdayContainer=d(\"div\",\"flatpickr-weekdays\");for(var e=h.config.showMonths;e--;){var t=d(\"div\",\"flatpickr-weekdaycontainer\");h.weekdayContainer.appendChild(t)}return q(),h.weekdayContainer}function q(){if(h.weekdayContainer){var e=h.l10n.firstDayOfWeek,t=h.l10n.weekdays.shorthand.slice();e>0&&e\\n \"+t.join(\"\")+\"\\n \\n \"}}function $(e,t){void 0===t&&(t=!0);var n=t?e:e-h.currentMonth;n<0&&!0===h._hidePrevMonthArrow||n>0&&!0===h._hideNextMonthArrow||(h.currentMonth+=n,(h.currentMonth<0||h.currentMonth>11)&&(h.currentYear+=h.currentMonth>11?1:-1,h.currentMonth=(h.currentMonth+12)%12,fe(\"onYearChange\"),B()),R(),fe(\"onMonthChange\"),pe())}function z(e){return!(!h.config.appendTo||!h.config.appendTo.contains(e))||h.calendarContainer.contains(e)}function G(e){if(h.isOpen&&!h.config.inline){var t=\"function\"==typeof(r=e).composedPath?r.composedPath()[0]:r.target,n=z(t),a=t===h.input||t===h.altInput||h.element.contains(t)||e.path&&e.path.indexOf&&(~e.path.indexOf(h.input)||~e.path.indexOf(h.altInput)),i=\"blur\"===e.type?a&&e.relatedTarget&&!z(e.relatedTarget):!a&&!n&&!z(e.relatedTarget),o=!h.config.ignoredFocusElements.some((function(e){return e.contains(t)}));i&&o&&(void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&x(),h.close(),\"range\"===h.config.mode&&1===h.selectedDates.length&&(h.clear(!1),h.redraw()))}var r}function V(e){if(!(!e||h.config.minDate&&eh.config.maxDate.getFullYear())){var t=e,n=h.currentYear!==t;h.currentYear=t||h.currentYear,h.config.maxDate&&h.currentYear===h.config.maxDate.getFullYear()?h.currentMonth=Math.min(h.config.maxDate.getMonth(),h.currentMonth):h.config.minDate&&h.currentYear===h.config.minDate.getFullYear()&&(h.currentMonth=Math.max(h.config.minDate.getMonth(),h.currentMonth)),n&&(h.redraw(),fe(\"onYearChange\"),B())}}function Z(e,t){void 0===t&&(t=!0);var n=h.parseDate(e,void 0,t);if(h.config.minDate&&n&&w(n,h.config.minDate,void 0!==t?t:!h.minDateHasTime)<0||h.config.maxDate&&n&&w(n,h.config.maxDate,void 0!==t?t:!h.maxDateHasTime)>0)return!1;if(0===h.config.enable.length&&0===h.config.disable.length)return!0;if(void 0===n)return!1;for(var a=h.config.enable.length>0,i=a?h.config.enable:h.config.disable,o=0,r=void 0;o=r.from.getTime()&&n.getTime()<=r.to.getTime())return a}return!a}function Q(e){return void 0!==h.daysContainer&&-1===e.className.indexOf(\"hidden\")&&h.daysContainer.contains(e)}function X(e){var t=e.target===h._input,n=h.config.allowInput,a=h.isOpen&&(!n||!t),i=h.config.inline&&t&&!n;if(13===e.keyCode&&t){if(n)return h.setDate(h._input.value,!0,e.target===h.altInput?h.config.altFormat:h.config.dateFormat),e.target.blur();h.open()}else if(z(e.target)||a||i){var o=!!h.timeContainer&&h.timeContainer.contains(e.target);switch(e.keyCode){case 13:o?(e.preventDefault(),x(),le()):ce(e);break;case 27:e.preventDefault(),le();break;case 8:case 46:t&&!h.config.allowInput&&(e.preventDefault(),h.clear());break;case 37:case 39:if(o||t)h.hourElement&&h.hourElement.focus();else if(e.preventDefault(),void 0!==h.daysContainer&&(!1===n||document.activeElement&&Q(document.activeElement))){var r=39===e.keyCode?1:-1;e.ctrlKey?(e.stopPropagation(),$(r),L(H(1),0)):L(void 0,r)}break;case 38:case 40:e.preventDefault();var l=40===e.keyCode?1:-1;h.daysContainer&&void 0!==e.target.$i||e.target===h.input||e.target===h.altInput?e.ctrlKey?(e.stopPropagation(),V(h.currentYear-l),L(H(1),0)):o||L(void 0,7*l):e.target===h.currentYearElement?V(h.currentYear-l):h.config.enableTime&&(!o&&h.hourElement&&h.hourElement.focus(),x(e),h._debouncedChange());break;case 9:if(o){var c=[h.hourElement,h.minuteElement,h.secondElement,h.amPM].concat(h.pluginElements).filter((function(e){return e})),d=c.indexOf(e.target);if(-1!==d){var s=c[d+(e.shiftKey?-1:1)];e.preventDefault(),(s||h._input).focus()}}else!h.config.noCalendar&&h.daysContainer&&h.daysContainer.contains(e.target)&&e.shiftKey&&(e.preventDefault(),h._input.focus())}}if(void 0!==h.amPM&&e.target===h.amPM)switch(e.key){case h.l10n.amPM[0].charAt(0):case h.l10n.amPM[0].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[0],E(),ve();break;case h.l10n.amPM[1].charAt(0):case h.l10n.amPM[1].charAt(0).toLowerCase():h.amPM.textContent=h.l10n.amPM[1],E(),ve()}(t||z(e.target))&&fe(\"onKeyDown\",e)}function ee(e){if(1===h.selectedDates.length&&(!e||e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\"))){for(var t=e?e.dateObj.getTime():h.days.firstElementChild.dateObj.getTime(),n=h.parseDate(h.selectedDates[0],void 0,!0).getTime(),a=Math.min(t,h.selectedDates[0].getTime()),i=Math.max(t,h.selectedDates[0].getTime()),o=!1,r=0,l=0,c=a;ca&&cr)?r=c:c>n&&(!l||c0&&m0&&m>l;return g?(f.classList.add(\"notAllowed\"),[\"inRange\",\"startRange\",\"endRange\"].forEach((function(e){f.classList.remove(e)})),\"continue\"):o&&!g?\"continue\":([\"startRange\",\"inRange\",\"endRange\",\"notAllowed\"].forEach((function(e){f.classList.remove(e)})),void(void 0!==e&&(e.classList.add(t<=h.selectedDates[0].getTime()?\"startRange\":\"endRange\"),nt&&m===n&&f.classList.add(\"endRange\"),m>=r&&(0===l||m<=l)&&(d=n,u=t,(c=m)>Math.min(d,u)&&c0||n.getMinutes()>0||n.getSeconds()>0),h.selectedDates&&(h.selectedDates=h.selectedDates.filter((function(e){return Z(e)})),h.selectedDates.length||\"min\"!==e||T(n),ve()),h.daysContainer&&(re(),void 0!==n?h.currentYearElement[e]=n.getFullYear().toString():h.currentYearElement.removeAttribute(e),h.currentYearElement.disabled=!!a&&void 0!==n&&a.getFullYear()===n.getFullYear())}}function ie(){\"object\"!=typeof h.config.locale&&void 0===y.l10ns[h.config.locale]&&h.config.errorHandler(new Error(\"flatpickr: invalid locale \"+h.config.locale)),h.l10n=e({},y.l10ns.default,\"object\"==typeof h.config.locale?h.config.locale:\"default\"!==h.config.locale?y.l10ns[h.config.locale]:void 0),p.K=\"(\"+h.l10n.amPM[0]+\"|\"+h.l10n.amPM[1]+\"|\"+h.l10n.amPM[0].toLowerCase()+\"|\"+h.l10n.amPM[1].toLowerCase()+\")\",void 0===e({},g,JSON.parse(JSON.stringify(f.dataset||{}))).time_24hr&&void 0===y.defaultConfig.time_24hr&&(h.config.time_24hr=h.l10n.time_24hr),h.formatDate=v(h),h.parseDate=D({config:h.config,l10n:h.l10n})}function oe(e){if(void 0!==h.calendarContainer){fe(\"onPreCalendarPosition\");var t=e||h._positionElement,n=Array.prototype.reduce.call(h.calendarContainer.children,(function(e,t){return e+t.offsetHeight}),0),a=h.calendarContainer.offsetWidth,i=h.config.position.split(\" \"),o=i[0],r=i.length>1?i[1]:null,l=t.getBoundingClientRect(),d=window.innerHeight-l.bottom,s=\"above\"===o||\"below\"!==o&&dn,u=window.pageYOffset+l.top+(s?-n-2:t.offsetHeight+2);if(c(h.calendarContainer,\"arrowTop\",!s),c(h.calendarContainer,\"arrowBottom\",s),!h.config.inline){var f=window.pageXOffset+l.left-(null!=r&&\"center\"===r?(a-l.width)/2:0),m=window.document.body.offsetWidth-(window.pageXOffset+l.right),g=f+a>window.document.body.offsetWidth,p=m+a>window.document.body.offsetWidth;if(c(h.calendarContainer,\"rightMost\",g),!h.config.static)if(h.calendarContainer.style.top=u+\"px\",g)if(p){var v=document.styleSheets[0];if(void 0===v)return;var D=window.document.body.offsetWidth,w=Math.max(0,D/2-a/2),b=v.cssRules.length,C=\"{left:\"+l.left+\"px;right:auto;}\";c(h.calendarContainer,\"rightMost\",!1),c(h.calendarContainer,\"centerMost\",!0),v.insertRule(\".flatpickr-calendar.centerMost:before,.flatpickr-calendar.centerMost:after\"+C,b),h.calendarContainer.style.left=w+\"px\",h.calendarContainer.style.right=\"auto\"}else h.calendarContainer.style.left=\"auto\",h.calendarContainer.style.right=m+\"px\";else h.calendarContainer.style.left=f+\"px\",h.calendarContainer.style.right=\"auto\"}}}function re(){h.config.noCalendar||h.isMobile||(pe(),R())}function le(){h._input.focus(),-1!==window.navigator.userAgent.indexOf(\"MSIE\")||void 0!==navigator.msMaxTouchPoints?setTimeout(h.close,0):h.close()}function ce(e){e.preventDefault(),e.stopPropagation();var t=function e(t,n){return n(t)?t:t.parentNode?e(t.parentNode,n):void 0}(e.target,(function(e){return e.classList&&e.classList.contains(\"flatpickr-day\")&&!e.classList.contains(\"flatpickr-disabled\")&&!e.classList.contains(\"notAllowed\")}));if(void 0!==t){var n=t,a=h.latestSelectedDateObj=new Date(n.dateObj.getTime()),i=(a.getMonth()h.currentMonth+h.config.showMonths-1)&&\"range\"!==h.config.mode;if(h.selectedDateElem=n,\"single\"===h.config.mode)h.selectedDates=[a];else if(\"multiple\"===h.config.mode){var o=ge(a);o?h.selectedDates.splice(parseInt(o),1):h.selectedDates.push(a)}else\"range\"===h.config.mode&&(2===h.selectedDates.length&&h.clear(!1,!1),h.latestSelectedDateObj=a,h.selectedDates.push(a),0!==w(a,h.selectedDates[0],!0)&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()})));if(E(),i){var r=h.currentYear!==a.getFullYear();h.currentYear=a.getFullYear(),h.currentMonth=a.getMonth(),r&&(fe(\"onYearChange\"),B()),fe(\"onMonthChange\")}if(pe(),R(),ve(),h.config.enableTime&&setTimeout((function(){return h.showTimeInput=!0}),50),i||\"range\"===h.config.mode||1!==h.config.showMonths?void 0!==h.selectedDateElem&&void 0===h.hourElement&&h.selectedDateElem&&h.selectedDateElem.focus():j(n),void 0!==h.hourElement&&void 0!==h.hourElement&&h.hourElement.focus(),h.config.closeOnSelect){var l=\"single\"===h.config.mode&&!h.config.enableTime,c=\"range\"===h.config.mode&&2===h.selectedDates.length&&!h.config.enableTime;(l||c)&&le()}F()}}h.parseDate=D({config:h.config,l10n:h.l10n}),h._handlers=[],h.pluginElements=[],h.loadedPlugins=[],h._bind=O,h._setHoursFromDate=T,h._positionCalendar=oe,h.changeMonth=$,h.changeYear=V,h.clear=function(e,t){void 0===e&&(e=!0),void 0===t&&(t=!0),h.input.value=\"\",void 0!==h.altInput&&(h.altInput.value=\"\"),void 0!==h.mobileInput&&(h.mobileInput.value=\"\"),h.selectedDates=[],h.latestSelectedDateObj=void 0,!0===t&&(h.currentYear=h._initialDate.getFullYear(),h.currentMonth=h._initialDate.getMonth()),h.showTimeInput=!1,!0===h.config.enableTime&&k(),h.redraw(),e&&fe(\"onChange\")},h.close=function(){h.isOpen=!1,h.isMobile||(void 0!==h.calendarContainer&&h.calendarContainer.classList.remove(\"open\"),void 0!==h._input&&h._input.classList.remove(\"active\")),fe(\"onClose\")},h._createElement=d,h.destroy=function(){void 0!==h.config&&fe(\"onDestroy\");for(var e=h._handlers.length;e--;){var t=h._handlers[e];t.element.removeEventListener(t.event,t.handler,t.options)}if(h._handlers=[],h.mobileInput)h.mobileInput.parentNode&&h.mobileInput.parentNode.removeChild(h.mobileInput),h.mobileInput=void 0;else if(h.calendarContainer&&h.calendarContainer.parentNode)if(h.config.static&&h.calendarContainer.parentNode){var n=h.calendarContainer.parentNode;if(n.lastChild&&n.removeChild(n.lastChild),n.parentNode){for(;n.firstChild;)n.parentNode.insertBefore(n.firstChild,n);n.parentNode.removeChild(n)}}else h.calendarContainer.parentNode.removeChild(h.calendarContainer);h.altInput&&(h.input.type=\"text\",h.altInput.parentNode&&h.altInput.parentNode.removeChild(h.altInput),delete h.altInput),h.input&&(h.input.type=h.input._type,h.input.classList.remove(\"flatpickr-input\"),h.input.removeAttribute(\"readonly\"),h.input.value=\"\"),[\"_showTimeInput\",\"latestSelectedDateObj\",\"_hideNextMonthArrow\",\"_hidePrevMonthArrow\",\"__hideNextMonthArrow\",\"__hidePrevMonthArrow\",\"isMobile\",\"isOpen\",\"selectedDateElem\",\"minDateHasTime\",\"maxDateHasTime\",\"days\",\"daysContainer\",\"_input\",\"_positionElement\",\"innerContainer\",\"rContainer\",\"monthNav\",\"todayDateElem\",\"calendarContainer\",\"weekdayContainer\",\"prevMonthNav\",\"nextMonthNav\",\"monthsDropdownContainer\",\"currentMonthElement\",\"currentYearElement\",\"navigationCurrentMonth\",\"selectedDateElem\",\"config\"].forEach((function(e){try{delete h[e]}catch(e){}}))},h.isEnabled=Z,h.jumpToDate=N,h.open=function(e,t){if(void 0===t&&(t=h._positionElement),!0===h.isMobile)return e&&(e.preventDefault(),e.target&&e.target.blur()),void 0!==h.mobileInput&&(h.mobileInput.focus(),h.mobileInput.click()),void fe(\"onOpen\");if(!h._input.disabled&&!h.config.inline){var n=h.isOpen;h.isOpen=!0,n||(h.calendarContainer.classList.add(\"open\"),h._input.classList.add(\"active\"),fe(\"onOpen\"),oe(t)),!0===h.config.enableTime&&!0===h.config.noCalendar&&(0===h.selectedDates.length&&ne(),!1!==h.config.allowInput||void 0!==e&&h.timeContainer.contains(e.relatedTarget)||setTimeout((function(){return h.hourElement.select()}),50))}},h.redraw=re,h.set=function(e,n){if(null!==e&&\"object\"==typeof e)for(var a in Object.assign(h.config,e),e)void 0!==de[a]&&de[a].forEach((function(e){return e()}));else h.config[e]=n,void 0!==de[e]?de[e].forEach((function(e){return e()})):t.indexOf(e)>-1&&(h.config[e]=l(n));h.redraw(),ve(!1)},h.setDate=function(e,t,n){if(void 0===t&&(t=!1),void 0===n&&(n=h.config.dateFormat),0!==e&&!e||e instanceof Array&&0===e.length)return h.clear(t);se(e,n),h.showTimeInput=h.selectedDates.length>0,h.latestSelectedDateObj=h.selectedDates[h.selectedDates.length-1],h.redraw(),N(),T(),0===h.selectedDates.length&&h.clear(!1),ve(t),t&&fe(\"onChange\")},h.toggle=function(e){if(!0===h.isOpen)return h.close();h.open(e)};var de={locale:[ie,q],showMonths:[K,M,U],minDate:[N],maxDate:[N]};function se(e,t){var n=[];if(e instanceof Array)n=e.map((function(e){return h.parseDate(e,t)}));else if(e instanceof Date||\"number\"==typeof e)n=[h.parseDate(e,t)];else if(\"string\"==typeof e)switch(h.config.mode){case\"single\":case\"time\":n=[h.parseDate(e,t)];break;case\"multiple\":n=e.split(h.config.conjunction).map((function(e){return h.parseDate(e,t)}));break;case\"range\":n=e.split(h.l10n.rangeSeparator).map((function(e){return h.parseDate(e,t)}))}else h.config.errorHandler(new Error(\"Invalid date supplied: \"+JSON.stringify(e)));h.selectedDates=n.filter((function(e){return e instanceof Date&&Z(e,!1)})),\"range\"===h.config.mode&&h.selectedDates.sort((function(e,t){return e.getTime()-t.getTime()}))}function ue(e){return e.slice().map((function(e){return\"string\"==typeof e||\"number\"==typeof e||e instanceof Date?h.parseDate(e,void 0,!0):e&&\"object\"==typeof e&&e.from&&e.to?{from:h.parseDate(e.from,void 0),to:h.parseDate(e.to,void 0)}:e})).filter((function(e){return e}))}function fe(e,t){if(void 0!==h.config){var n=h.config[e];if(void 0!==n&&n.length>0)for(var a=0;n[a]&&a1||\"static\"===h.config.monthSelectorType?h.monthElements[t].textContent=m(n.getMonth(),h.config.shorthandCurrentMonth,h.l10n)+\" \":h.monthsDropdownContainer.value=n.getMonth().toString(),e.value=n.getFullYear().toString()})),h._hidePrevMonthArrow=void 0!==h.config.minDate&&(h.currentYear===h.config.minDate.getFullYear()?h.currentMonth<=h.config.minDate.getMonth():h.currentYearh.config.maxDate.getMonth():h.currentYear>h.config.maxDate.getFullYear()))}function he(e){return h.selectedDates.map((function(t){return h.formatDate(t,e)})).filter((function(e,t,n){return\"range\"!==h.config.mode||h.config.enableTime||n.indexOf(e)===t})).join(\"range\"!==h.config.mode?h.config.conjunction:h.l10n.rangeSeparator)}function ve(e){void 0===e&&(e=!0),void 0!==h.mobileInput&&h.mobileFormatStr&&(h.mobileInput.value=void 0!==h.latestSelectedDateObj?h.formatDate(h.latestSelectedDateObj,h.mobileFormatStr):\"\"),h.input.value=he(h.config.dateFormat),void 0!==h.altInput&&(h.altInput.value=he(h.config.altFormat)),!1!==e&&fe(\"onValueUpdate\")}function De(e){var t=h.prevMonthNav.contains(e.target),n=h.nextMonthNav.contains(e.target);t||n?$(t?-1:1):h.yearElements.indexOf(e.target)>=0?e.target.select():e.target.classList.contains(\"arrowUp\")?h.changeYear(h.currentYear+1):e.target.classList.contains(\"arrowDown\")&&h.changeYear(h.currentYear-1)}return function(){h.element=h.input=f,h.isOpen=!1,function(){var a=[\"wrap\",\"weekNumbers\",\"allowInput\",\"clickOpens\",\"time_24hr\",\"enableTime\",\"noCalendar\",\"altInput\",\"shorthandCurrentMonth\",\"inline\",\"static\",\"enableSeconds\",\"disableMobile\"],i=e({},g,JSON.parse(JSON.stringify(f.dataset||{}))),o={};h.config.parseDate=i.parseDate,h.config.formatDate=i.formatDate,Object.defineProperty(h.config,\"enable\",{get:function(){return h.config._enable},set:function(e){h.config._enable=ue(e)}}),Object.defineProperty(h.config,\"disable\",{get:function(){return h.config._disable},set:function(e){h.config._disable=ue(e)}});var r=\"time\"===i.mode;if(!i.dateFormat&&(i.enableTime||r)){var c=y.defaultConfig.dateFormat||n.dateFormat;o.dateFormat=i.noCalendar||r?\"H:i\"+(i.enableSeconds?\":S\":\"\"):c+\" H:i\"+(i.enableSeconds?\":S\":\"\")}if(i.altInput&&(i.enableTime||r)&&!i.altFormat){var d=y.defaultConfig.altFormat||n.altFormat;o.altFormat=i.noCalendar||r?\"h:i\"+(i.enableSeconds?\":S K\":\" K\"):d+\" h:i\"+(i.enableSeconds?\":S\":\"\")+\" K\"}i.altInputClass||(h.config.altInputClass=h.input.className+\" \"+h.config.altInputClass),Object.defineProperty(h.config,\"minDate\",{get:function(){return h.config._minDate},set:ae(\"min\")}),Object.defineProperty(h.config,\"maxDate\",{get:function(){return h.config._maxDate},set:ae(\"max\")});var s=function(e){return function(t){h.config[\"min\"===e?\"_minTime\":\"_maxTime\"]=h.parseDate(t,\"H:i:S\")}};Object.defineProperty(h.config,\"minTime\",{get:function(){return h.config._minTime},set:s(\"min\")}),Object.defineProperty(h.config,\"maxTime\",{get:function(){return h.config._maxTime},set:s(\"max\")}),\"time\"===i.mode&&(h.config.noCalendar=!0,h.config.enableTime=!0),Object.assign(h.config,o,i);for(var u=0;u-1?h.config[p]=l(m[p]).map(C).concat(h.config[p]):void 0===i[p]&&(h.config[p]=m[p])}fe(\"onParseConfig\")}(),ie(),h.input=h.config.wrap?f.querySelector(\"[data-input]\"):f,h.input?(h.input._type=h.input.type,h.input.type=\"text\",h.input.classList.add(\"flatpickr-input\"),h._input=h.input,h.config.altInput&&(h.altInput=d(h.input.nodeName,h.config.altInputClass),h._input=h.altInput,h.altInput.placeholder=h.input.placeholder,h.altInput.disabled=h.input.disabled,h.altInput.required=h.input.required,h.altInput.tabIndex=h.input.tabIndex,h.altInput.type=\"text\",h.input.setAttribute(\"type\",\"hidden\"),!h.config.static&&h.input.parentNode&&h.input.parentNode.insertBefore(h.altInput,h.input.nextSibling)),h.config.allowInput||h._input.setAttribute(\"readonly\",\"readonly\"),h._positionElement=h.config.positionElement||h._input):h.config.errorHandler(new Error(\"Invalid input element specified\")),function(){h.selectedDates=[],h.now=h.parseDate(h.config.now)||new Date;var e=h.config.defaultDate||(\"INPUT\"!==h.input.nodeName&&\"TEXTAREA\"!==h.input.nodeName||!h.input.placeholder||h.input.value!==h.input.placeholder?h.input.value:null);e&&se(e,h.config.dateFormat),h._initialDate=h.selectedDates.length>0?h.selectedDates[0]:h.config.minDate&&h.config.minDate.getTime()>h.now.getTime()?h.config.minDate:h.config.maxDate&&h.config.maxDate.getTime()0&&(h.latestSelectedDateObj=h.selectedDates[0]),void 0!==h.config.minTime&&(h.config.minTime=h.parseDate(h.config.minTime,\"H:i\")),void 0!==h.config.maxTime&&(h.config.maxTime=h.parseDate(h.config.maxTime,\"H:i\")),h.minDateHasTime=!!h.config.minDate&&(h.config.minDate.getHours()>0||h.config.minDate.getMinutes()>0||h.config.minDate.getSeconds()>0),h.maxDateHasTime=!!h.config.maxDate&&(h.config.maxDate.getHours()>0||h.config.maxDate.getMinutes()>0||h.config.maxDate.getSeconds()>0),Object.defineProperty(h,\"showTimeInput\",{get:function(){return h._showTimeInput},set:function(e){h._showTimeInput=e,h.calendarContainer&&c(h.calendarContainer,\"showTimeInput\",e),h.isOpen&&oe()}})}(),h.utils={getDaysInMonth:function(e,t){return void 0===e&&(e=h.currentMonth),void 0===t&&(t=h.currentYear),1===e&&(t%4==0&&t%100!=0||t%400==0)?29:h.l10n.daysInMonth[e]}},h.isMobile||function(){var e=window.document.createDocumentFragment();if(h.calendarContainer=d(\"div\",\"flatpickr-calendar\"),h.calendarContainer.tabIndex=-1,!h.config.noCalendar){if(e.appendChild((h.monthNav=d(\"div\",\"flatpickr-months\"),h.yearElements=[],h.monthElements=[],h.prevMonthNav=d(\"span\",\"flatpickr-prev-month\"),h.prevMonthNav.innerHTML=h.config.prevArrow,h.nextMonthNav=d(\"span\",\"flatpickr-next-month\"),h.nextMonthNav.innerHTML=h.config.nextArrow,K(),Object.defineProperty(h,\"_hidePrevMonthArrow\",{get:function(){return h.__hidePrevMonthArrow},set:function(e){h.__hidePrevMonthArrow!==e&&(c(h.prevMonthNav,\"flatpickr-disabled\",e),h.__hidePrevMonthArrow=e)}}),Object.defineProperty(h,\"_hideNextMonthArrow\",{get:function(){return h.__hideNextMonthArrow},set:function(e){h.__hideNextMonthArrow!==e&&(c(h.nextMonthNav,\"flatpickr-disabled\",e),h.__hideNextMonthArrow=e)}}),h.currentYearElement=h.yearElements[0],pe(),h.monthNav)),h.innerContainer=d(\"div\",\"flatpickr-innerContainer\"),h.config.weekNumbers){var t=function(){h.calendarContainer.classList.add(\"hasWeeks\");var e=d(\"div\",\"flatpickr-weekwrapper\");e.appendChild(d(\"span\",\"flatpickr-weekday\",h.l10n.weekAbbreviation));var t=d(\"div\",\"flatpickr-weeks\");return e.appendChild(t),{weekWrapper:e,weekNumbers:t}}(),n=t.weekWrapper,a=t.weekNumbers;h.innerContainer.appendChild(n),h.weekNumbers=a,h.weekWrapper=n}h.rContainer=d(\"div\",\"flatpickr-rContainer\"),h.rContainer.appendChild(U()),h.daysContainer||(h.daysContainer=d(\"div\",\"flatpickr-days\"),h.daysContainer.tabIndex=-1),R(),h.rContainer.appendChild(h.daysContainer),h.innerContainer.appendChild(h.rContainer),e.appendChild(h.innerContainer)}h.config.enableTime&&e.appendChild(function(){h.calendarContainer.classList.add(\"hasTime\"),h.config.noCalendar&&h.calendarContainer.classList.add(\"noCalendar\"),h.timeContainer=d(\"div\",\"flatpickr-time\"),h.timeContainer.tabIndex=-1;var e=d(\"span\",\"flatpickr-time-separator\",\":\"),t=u(\"flatpickr-hour\",{\"aria-label\":h.l10n.hourAriaLabel});h.hourElement=t.getElementsByTagName(\"input\")[0];var n=u(\"flatpickr-minute\",{\"aria-label\":h.l10n.minuteAriaLabel});if(h.minuteElement=n.getElementsByTagName(\"input\")[0],h.hourElement.tabIndex=h.minuteElement.tabIndex=-1,h.hourElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getHours():h.config.time_24hr?h.config.defaultHour:function(e){switch(e%24){case 0:case 12:return 12;default:return e%12}}(h.config.defaultHour)),h.minuteElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getMinutes():h.config.defaultMinute),h.hourElement.setAttribute(\"step\",h.config.hourIncrement.toString()),h.minuteElement.setAttribute(\"step\",h.config.minuteIncrement.toString()),h.hourElement.setAttribute(\"min\",h.config.time_24hr?\"0\":\"1\"),h.hourElement.setAttribute(\"max\",h.config.time_24hr?\"23\":\"12\"),h.minuteElement.setAttribute(\"min\",\"0\"),h.minuteElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(t),h.timeContainer.appendChild(e),h.timeContainer.appendChild(n),h.config.time_24hr&&h.timeContainer.classList.add(\"time24hr\"),h.config.enableSeconds){h.timeContainer.classList.add(\"hasSeconds\");var a=u(\"flatpickr-second\");h.secondElement=a.getElementsByTagName(\"input\")[0],h.secondElement.value=i(h.latestSelectedDateObj?h.latestSelectedDateObj.getSeconds():h.config.defaultSeconds),h.secondElement.setAttribute(\"step\",h.minuteElement.getAttribute(\"step\")),h.secondElement.setAttribute(\"min\",\"0\"),h.secondElement.setAttribute(\"max\",\"59\"),h.timeContainer.appendChild(d(\"span\",\"flatpickr-time-separator\",\":\")),h.timeContainer.appendChild(a)}return h.config.time_24hr||(h.amPM=d(\"span\",\"flatpickr-am-pm\",h.l10n.amPM[o((h.latestSelectedDateObj?h.hourElement.value:h.config.defaultHour)>11)]),h.amPM.title=h.l10n.toggleTitle,h.amPM.tabIndex=-1,h.timeContainer.appendChild(h.amPM)),h.timeContainer}()),c(h.calendarContainer,\"rangeMode\",\"range\"===h.config.mode),c(h.calendarContainer,\"animate\",!0===h.config.animate),c(h.calendarContainer,\"multiMonth\",h.config.showMonths>1),h.calendarContainer.appendChild(e);var r=void 0!==h.config.appendTo&&void 0!==h.config.appendTo.nodeType;if((h.config.inline||h.config.static)&&(h.calendarContainer.classList.add(h.config.inline?\"inline\":\"static\"),h.config.inline&&(!r&&h.element.parentNode?h.element.parentNode.insertBefore(h.calendarContainer,h._input.nextSibling):void 0!==h.config.appendTo&&h.config.appendTo.appendChild(h.calendarContainer)),h.config.static)){var l=d(\"div\",\"flatpickr-wrapper\");h.element.parentNode&&h.element.parentNode.insertBefore(l,h.element),l.appendChild(h.element),h.altInput&&l.appendChild(h.altInput),l.appendChild(h.calendarContainer)}h.config.static||h.config.inline||(void 0!==h.config.appendTo?h.config.appendTo:window.document.body).appendChild(h.calendarContainer)}(),function(){if(h.config.wrap&&[\"open\",\"close\",\"toggle\",\"clear\"].forEach((function(e){Array.prototype.forEach.call(h.element.querySelectorAll(\"[data-\"+e+\"]\"),(function(t){return O(t,\"click\",h[e])}))})),h.isMobile)!function(){var e=h.config.enableTime?h.config.noCalendar?\"time\":\"datetime-local\":\"date\";h.mobileInput=d(\"input\",h.input.className+\" flatpickr-mobile\"),h.mobileInput.step=h.input.getAttribute(\"step\")||\"any\",h.mobileInput.tabIndex=1,h.mobileInput.type=e,h.mobileInput.disabled=h.input.disabled,h.mobileInput.required=h.input.required,h.mobileInput.placeholder=h.input.placeholder,h.mobileFormatStr=\"datetime-local\"===e?\"Y-m-d\\\\TH:i:S\":\"date\"===e?\"Y-m-d\":\"H:i:S\",h.selectedDates.length>0&&(h.mobileInput.defaultValue=h.mobileInput.value=h.formatDate(h.selectedDates[0],h.mobileFormatStr)),h.config.minDate&&(h.mobileInput.min=h.formatDate(h.config.minDate,\"Y-m-d\")),h.config.maxDate&&(h.mobileInput.max=h.formatDate(h.config.maxDate,\"Y-m-d\")),h.input.type=\"hidden\",void 0!==h.altInput&&(h.altInput.type=\"hidden\");try{h.input.parentNode&&h.input.parentNode.insertBefore(h.mobileInput,h.input.nextSibling)}catch(e){}O(h.mobileInput,\"change\",(function(e){h.setDate(e.target.value,!1,h.mobileFormatStr),fe(\"onChange\"),fe(\"onClose\")}))}();else{var e=r(te,50);h._debouncedChange=r(F,300),h.daysContainer&&!/iPhone|iPad|iPod/i.test(navigator.userAgent)&&O(h.daysContainer,\"mouseover\",(function(e){\"range\"===h.config.mode&&ee(e.target)})),O(window.document.body,\"keydown\",X),h.config.inline||h.config.static||O(window,\"resize\",e),void 0!==window.ontouchstart?O(window.document,\"touchstart\",G):O(window.document,\"mousedown\",_(G)),O(window.document,\"focus\",G,{capture:!0}),!0===h.config.clickOpens&&(O(h._input,\"focus\",h.open),O(h._input,\"mousedown\",_(h.open))),void 0!==h.daysContainer&&(O(h.monthNav,\"mousedown\",_(De)),O(h.monthNav,[\"keyup\",\"increment\"],S),O(h.daysContainer,\"mousedown\",_(ce))),void 0!==h.timeContainer&&void 0!==h.minuteElement&&void 0!==h.hourElement&&(O(h.timeContainer,[\"increment\"],x),O(h.timeContainer,\"blur\",x,{capture:!0}),O(h.timeContainer,\"mousedown\",_(P)),O([h.hourElement,h.minuteElement],[\"focus\",\"click\"],(function(e){return e.target.select()})),void 0!==h.secondElement&&O(h.secondElement,\"focus\",(function(){return h.secondElement&&h.secondElement.select()})),void 0!==h.amPM&&O(h.amPM,\"mousedown\",_((function(e){x(e),F()}))))}}(),(h.selectedDates.length||h.config.noCalendar)&&(h.config.enableTime&&T(h.config.noCalendar?h.latestSelectedDateObj||h.config.minDate:void 0),ve(!1)),M(),h.showTimeInput=h.selectedDates.length>0||h.config.noCalendar;var a=/^((?!chrome|android).)*safari/i.test(navigator.userAgent);!h.isMobile&&a&&oe(),fe(\"onReady\")}(),h}function M(e,t){for(var n=Array.prototype.slice.call(e).filter((function(e){return e instanceof HTMLElement})),a=[],i=0;ithis.render());const{start:i,end:l,value:r,step:o,title:n}=this.model.properties;this.on_change([i,l,r,o],()=>{const{start:e,end:t,value:s,step:i}=this._calc_to();this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i})});const{bar_color:a}=this.model.properties;this.on_change(a,()=>{this._set_bar_color()});const{show_value:d}=this.model.properties;this.on_change([r,n,d],()=>this._update_title())}styles(){return[...super.styles(),_.default,c.default]}_update_title(){o.empty(this.title_el);const e=null==this.model.title||0==this.model.title.length&&!this.model.show_value;if(this.title_el.style.display=e?\"none\":\"\",!e&&(0!=this.model.title.length&&(this.title_el.textContent=this.model.title+\": \"),this.model.show_value)){const{value:e}=this._calc_to(),t=e.map(e=>this.model.pretty(e)).join(\" .. \");this.title_el.appendChild(o.span({class:d.bk_slider_value},t))}}_set_bar_color(){if(!this.model.disabled){this.slider_el.querySelector(\".noUi-connect\").style.backgroundColor=this.model.bar_color}}_keypress_handle(e,t=0){const{start:s,value:i,end:l,step:r}=this._calc_to(),o=2==i.length;let n=s,a=l;switch(o&&0==t?a=i[1]:o&&1==t&&(n=i[0]),e.which){case 37:i[t]=Math.max(i[t]-r,n);break;case 39:i[t]=Math.min(i[t]+r,a);break;default:return}this.model.value=o?i:i[0],this.model.properties.value.change.emit(),this.model.value_throttled=this.model.value,this.noUiSlider.set(i)}render(){super.render();const{start:e,end:t,value:s,step:i}=this._calc_to();let r;if(this.model.tooltips){const e={to:e=>this.model.pretty(e)};r=n.repeat(e,s.length)}else r=!1;if(null==this.slider_el){this.slider_el=o.div(),l.create(this.slider_el,{range:{min:e,max:t},start:s,step:i,behaviour:this.model.behaviour,connect:this.model.connected,tooltips:r,orientation:this.model.orientation,direction:this.model.direction}),this.noUiSlider.on(\"slide\",(e,t,s)=>this._slide(s)),this.noUiSlider.on(\"change\",(e,t,s)=>this._change(s)),this._set_keypress_handles();const n=(e,t)=>{if(!r)return;this.slider_el.querySelectorAll(\".noUi-handle\")[e].querySelector(\".noUi-tooltip\").style.display=t?\"block\":\"\"};this.noUiSlider.on(\"start\",(e,t)=>n(t,!0)),this.noUiSlider.on(\"end\",(e,t)=>n(t,!1))}else this.noUiSlider.updateOptions({range:{min:e,max:t},start:s,step:i});this._set_bar_color(),this.model.disabled?this.slider_el.setAttribute(\"disabled\",\"true\"):this.slider_el.removeAttribute(\"disabled\"),this.title_el=o.div({class:d.bk_slider_title}),this._update_title(),this.group_el=o.div({class:h.bk_input_group},this.title_el,this.slider_el),this.el.appendChild(this.group_el)}_slide(e){this.model.value=this._calc_from(e)}_change(e){this.model.value=this._calc_from(e),this.model.value_throttled=this.model.value}}u.__name__=\"AbstractBaseSliderView\";class m extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:[this.model.value],step:this.model.step}}_calc_from([e]){return Number.isInteger(this.model.start)&&Number.isInteger(this.model.end)&&Number.isInteger(this.model.step)?Math.round(e):e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e))}}s.AbstractSliderView=m,m.__name__=\"AbstractSliderView\";class p extends u{_calc_to(){return{start:this.model.start,end:this.model.end,value:this.model.value,step:this.model.step}}_calc_from(e){return e}_set_keypress_handles(){const e=this.slider_el.querySelector(\".noUi-handle-lower\"),t=this.slider_el.querySelector(\".noUi-handle-upper\");e.setAttribute(\"tabindex\",\"0\"),e.addEventListener(\"keydown\",e=>this._keypress_handle(e,0)),t.setAttribute(\"tabindex\",\"1\"),t.addEventListener(\"keydown\",e=>this._keypress_handle(e,1))}}s.AbstractRangeSliderView=p,p.__name__=\"AbstractRangeSliderView\";class b extends a.Control{constructor(e){super(e),this.connected=!1}static init_AbstractSlider(){this.define({title:[r.String,\"\"],show_value:[r.Boolean,!0],start:[r.Any],end:[r.Any],value:[r.Any],value_throttled:[r.Any],step:[r.Number,1],format:[r.Any],direction:[r.Any,\"ltr\"],tooltips:[r.Boolean,!0],bar_color:[r.Color,\"#e6e6e6\"]})}_formatter(e,t){return\"\"+e}pretty(e){return this._formatter(e,this.format)}}s.AbstractSlider=b,b.__name__=\"AbstractSlider\",b.init_AbstractSlider()},\n", - " 412: function _(t,e,r){\n", - " /*! nouislider - 14.5.0 - 5/11/2020 */\n", - " var n;n=function(){\"use strict\";var t=\"14.5.0\";function e(t){t.parentElement.removeChild(t)}function r(t){return null!=t}function n(t){t.preventDefault()}function i(t){return\"number\"==typeof t&&!isNaN(t)&&isFinite(t)}function o(t,e,r){r>0&&(u(t,e),setTimeout((function(){c(t,e)}),r))}function s(t){return Math.max(Math.min(t,100),0)}function a(t){return Array.isArray(t)?t:[t]}function l(t){var e=(t=String(t)).split(\".\");return e.length>1?e[1].length:0}function u(t,e){t.classList&&!/\\s/.test(e)?t.classList.add(e):t.className+=\" \"+e}function c(t,e){t.classList&&!/\\s/.test(e)?t.classList.remove(e):t.className=t.className.replace(new RegExp(\"(^|\\\\b)\"+e.split(\" \").join(\"|\")+\"(\\\\b|$)\",\"gi\"),\" \")}function p(t){var e=void 0!==window.pageXOffset,r=\"CSS1Compat\"===(t.compatMode||\"\");return{x:e?window.pageXOffset:r?t.documentElement.scrollLeft:t.body.scrollLeft,y:e?window.pageYOffset:r?t.documentElement.scrollTop:t.body.scrollTop}}function f(t,e){return 100/(e-t)}function d(t,e,r){return 100*e/(t[r+1]-t[r])}function h(t,e){for(var r=1;t>=e[r];)r+=1;return r}function m(t,e,r){if(r>=t.slice(-1)[0])return 100;var n=h(r,t),i=t[n-1],o=t[n],s=e[n-1],a=e[n];return s+function(t,e){return d(t,t[0]<0?e+Math.abs(t[0]):e-t[0],0)}([i,o],r)/f(s,a)}function g(t,e,r,n){if(100===n)return n;var i=h(n,t),o=t[i-1],s=t[i];return r?n-o>(s-o)/2?s:o:e[i-1]?t[i-1]+function(t,e){return Math.round(t/e)*e}(n-t[i-1],e[i-1]):n}function v(t,e,r){var n;if(\"number\"==typeof e&&(e=[e]),!Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' contains invalid value.\");if(!i(n=\"min\"===t?0:\"max\"===t?100:parseFloat(t))||!i(e[0]))throw new Error(\"noUiSlider (14.5.0): 'range' value isn't numeric.\");r.xPct.push(n),r.xVal.push(e[0]),n?r.xSteps.push(!isNaN(e[1])&&e[1]):isNaN(e[1])||(r.xSteps[0]=e[1]),r.xHighestCompleteStep.push(0)}function x(t,e,r){if(e)if(r.xVal[t]!==r.xVal[t+1]){r.xSteps[t]=d([r.xVal[t],r.xVal[t+1]],e,0)/f(r.xPct[t],r.xPct[t+1]);var n=(r.xVal[t+1]-r.xVal[t])/r.xNumSteps[t],i=Math.ceil(Number(n.toFixed(3))-1),o=r.xVal[t]+r.xNumSteps[t]*i;r.xHighestCompleteStep[t]=o}else r.xSteps[t]=r.xHighestCompleteStep[t]=r.xVal[t]}function b(t,e,r){var n;this.xPct=[],this.xVal=[],this.xSteps=[r||!1],this.xNumSteps=[!1],this.xHighestCompleteStep=[],this.snap=e;var i=[];for(n in t)t.hasOwnProperty(n)&&i.push([t[n],n]);for(i.length&&\"object\"==typeof i[0][0]?i.sort((function(t,e){return t[0][0]-e[0][0]})):i.sort((function(t,e){return t[0]-e[0]})),n=0;nthis.xPct[i+1];)i++;else t===this.xPct[this.xPct.length-1]&&(i=this.xPct.length-2);r||t!==this.xPct[i+1]||i++;var o=1,s=e[i],a=0,l=0,u=0,c=0;for(n=r?(t-this.xPct[i])/(this.xPct[i+1]-this.xPct[i]):(this.xPct[i+1]-t)/(this.xPct[i+1]-this.xPct[i]);s>0;)a=this.xPct[i+1+c]-this.xPct[i+c],e[i+c]*o+100-100*n>100?(l=a*n,o=(s-100*n)/e[i+c],n=1):(l=e[i+c]*a/100*o,o=0),r?(u-=l,this.xPct.length+c>=1&&c--):(u+=l,this.xPct.length-c>=1&&c++),s=e[i+c]*o;return t+u},b.prototype.toStepping=function(t){return t=m(this.xVal,this.xPct,t)},b.prototype.fromStepping=function(t){return function(t,e,r){if(r>=100)return t.slice(-1)[0];var n=h(r,e),i=t[n-1],o=t[n],s=e[n-1];return function(t,e){return e*(t[1]-t[0])/100+t[0]}([i,o],(r-s)*f(s,e[n]))}(this.xVal,this.xPct,t)},b.prototype.getStep=function(t){return t=g(this.xPct,this.xSteps,this.snap,t)},b.prototype.getDefaultStep=function(t,e,r){var n=h(t,this.xPct);return(100===t||e&&t===this.xPct[n-1])&&(n=Math.max(n-1,1)),(this.xVal[n]-this.xVal[n-1])/r},b.prototype.getNearbySteps=function(t){var e=h(t,this.xPct);return{stepBefore:{startValue:this.xVal[e-2],step:this.xNumSteps[e-2],highestStep:this.xHighestCompleteStep[e-2]},thisStep:{startValue:this.xVal[e-1],step:this.xNumSteps[e-1],highestStep:this.xHighestCompleteStep[e-1]},stepAfter:{startValue:this.xVal[e],step:this.xNumSteps[e],highestStep:this.xHighestCompleteStep[e]}}},b.prototype.countStepDecimals=function(){var t=this.xNumSteps.map(l);return Math.max.apply(null,t)},b.prototype.convert=function(t){return this.getStep(this.toStepping(t))};var S={to:function(t){return void 0!==t&&t.toFixed(2)},from:Number},w={target:\"target\",base:\"base\",origin:\"origin\",handle:\"handle\",handleLower:\"handle-lower\",handleUpper:\"handle-upper\",touchArea:\"touch-area\",horizontal:\"horizontal\",vertical:\"vertical\",background:\"background\",connect:\"connect\",connects:\"connects\",ltr:\"ltr\",rtl:\"rtl\",textDirectionLtr:\"txt-dir-ltr\",textDirectionRtl:\"txt-dir-rtl\",draggable:\"draggable\",drag:\"state-drag\",tap:\"state-tap\",active:\"active\",tooltip:\"tooltip\",pips:\"pips\",pipsHorizontal:\"pips-horizontal\",pipsVertical:\"pips-vertical\",marker:\"marker\",markerHorizontal:\"marker-horizontal\",markerVertical:\"marker-vertical\",markerNormal:\"marker-normal\",markerLarge:\"marker-large\",markerSub:\"marker-sub\",value:\"value\",valueHorizontal:\"value-horizontal\",valueVertical:\"value-vertical\",valueNormal:\"value-normal\",valueLarge:\"value-large\",valueSub:\"value-sub\"};function y(t){if(function(t){return\"object\"==typeof t&&\"function\"==typeof t.to&&\"function\"==typeof t.from}(t))return!0;throw new Error(\"noUiSlider (14.5.0): 'format' requires 'to' and 'from' methods.\")}function E(t,e){if(!i(e))throw new Error(\"noUiSlider (14.5.0): 'step' is not numeric.\");t.singleStep=e}function C(t,e){if(\"object\"!=typeof e||Array.isArray(e))throw new Error(\"noUiSlider (14.5.0): 'range' is not an object.\");if(void 0===e.min||void 0===e.max)throw new Error(\"noUiSlider (14.5.0): Missing 'min' or 'max' in 'range'.\");if(e.min===e.max)throw new Error(\"noUiSlider (14.5.0): 'range' 'min' and 'max' cannot be equal.\");t.spectrum=new b(e,t.snap,t.singleStep)}function N(t,e){if(e=a(e),!Array.isArray(e)||!e.length)throw new Error(\"noUiSlider (14.5.0): 'start' option is incorrect.\");t.handles=e.length,t.start=e}function P(t,e){if(t.snap=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'snap' option must be a boolean.\")}function U(t,e){if(t.animate=e,\"boolean\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animate' option must be a boolean.\")}function A(t,e){if(t.animationDuration=e,\"number\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'animationDuration' option must be a number.\")}function V(t,e){var r,n=[!1];if(\"lower\"===e?e=[!0,!1]:\"upper\"===e&&(e=[!1,!0]),!0===e||!1===e){for(r=1;r1)throw new Error(\"noUiSlider (14.5.0): 'padding' option must not exceed 100% of the range.\")}}function L(t,e){switch(e){case\"ltr\":t.dir=0;break;case\"rtl\":t.dir=1;break;default:throw new Error(\"noUiSlider (14.5.0): 'direction' option was not recognized.\")}}function z(t,e){if(\"string\"!=typeof e)throw new Error(\"noUiSlider (14.5.0): 'behaviour' must be a string containing options.\");var r=e.indexOf(\"tap\")>=0,n=e.indexOf(\"drag\")>=0,i=e.indexOf(\"fixed\")>=0,o=e.indexOf(\"snap\")>=0,s=e.indexOf(\"hover\")>=0,a=e.indexOf(\"unconstrained\")>=0;if(i){if(2!==t.handles)throw new Error(\"noUiSlider (14.5.0): 'fixed' behaviour must be used with 2 handles\");D(t,t.start[1]-t.start[0])}if(a&&(t.margin||t.limit))throw new Error(\"noUiSlider (14.5.0): 'unconstrained' behaviour cannot be used with margin or limit\");t.events={tap:r||o,drag:n,fixed:i,snap:o,hover:s,unconstrained:a}}function H(t,e){if(!1!==e)if(!0===e){t.tooltips=[];for(var r=0;r0&&((a=M(i,!1)).className=c(s,r.cssClasses.value),a.setAttribute(\"data-value\",o),a.style[r.style]=t+\"%\",a.innerHTML=n.to(o))}}(o,t[o][0],t[o][1])})),i}function B(){h&&(e(h),h=null)}function q(t){B();var e=t.mode,r=t.density||1,n=t.filter||!1,i=function(t,e,r){if(\"range\"===t||\"steps\"===t)return y.xVal;if(\"count\"===t){if(e<2)throw new Error(\"noUiSlider (14.5.0): 'values' (>= 2) required for mode 'count'.\");var n=e-1,i=100/n;for(e=[];n--;)e[n]=n*i;e.push(100),t=\"positions\"}return\"positions\"===t?e.map((function(t){return y.fromStepping(r?y.getStep(t):t)})):\"values\"===t?r?e.map((function(t){return y.fromStepping(y.getStep(y.toStepping(t)))})):e:void 0}(e,t.values||!1,t.stepped||!1),o=function(t,e,r){var n,i={},o=y.xVal[0],s=y.xVal[y.xVal.length-1],a=!1,l=!1,u=0;return n=r.slice().sort((function(t,e){return t-e})),(r=n.filter((function(t){return!this[t]&&(this[t]=!0)}),{}))[0]!==o&&(r.unshift(o),a=!0),r[r.length-1]!==s&&(r.push(s),l=!0),r.forEach((function(n,o){var s,c,p,f,d,h,m,g,v,x,b=n,S=r[o+1],w=\"steps\"===e;if(w&&(s=y.xNumSteps[o]),s||(s=S-b),!1!==b&&void 0!==S)for(s=Math.max(s,1e-7),c=b;c<=S;c=(c+s).toFixed(7)/1){for(g=(d=(f=y.toStepping(c))-u)/t,x=d/(v=Math.round(g)),p=1;p<=v;p+=1)i[(h=u+p*x).toFixed(5)]=[y.fromStepping(h),0];m=r.indexOf(c)>-1?1:w?2:0,!o&&a&&c!==S&&(m=0),c===S&&l||(i[f.toFixed(5)]=[c,m]),u=f}})),i}(r,e,i),s=t.format||{to:Math.round};return h=w.appendChild(T(o,n,s))}function _(){var t=l.getBoundingClientRect(),e=\"offset\"+[\"Width\",\"Height\"][r.ort];return 0===r.ort?t.width||l[e]:t.height||l[e]}function Y(t,e,n,i){var o=function(o){return!!(o=function(t,e,r){var n,i,o=0===t.type.indexOf(\"touch\"),s=0===t.type.indexOf(\"mouse\"),a=0===t.type.indexOf(\"pointer\");if(0===t.type.indexOf(\"MSPointer\")&&(a=!0),o){var l=function(t){return t.target===r||r.contains(t.target)||t.target.shadowRoot&&t.target.shadowRoot.contains(r)};if(\"touchstart\"===t.type){var u=Array.prototype.filter.call(t.touches,l);if(u.length>1)return!1;n=u[0].pageX,i=u[0].pageY}else{var c=Array.prototype.find.call(t.changedTouches,l);if(!c)return!1;n=c.pageX,i=c.pageY}}return e=e||p(A),(s||a)&&(n=t.clientX+e.x,i=t.clientY+e.y),t.pageOffset=e,t.points=[n,i],t.cursor=s||a,t}(o,i.pageOffset,i.target||e))&&!(H()&&!i.doNotReject)&&(s=w,a=r.cssClasses.tap,!((s.classList?s.classList.contains(a):new RegExp(\"\\\\b\"+a+\"\\\\b\").test(s.className))&&!i.doNotReject)&&!(t===b.start&&void 0!==o.buttons&&o.buttons>1)&&(!i.hover||!o.buttons)&&(S||o.preventDefault(),o.calcPoint=o.points[r.ort],void n(o,i)));var s,a},s=[];return t.split(\" \").forEach((function(t){e.addEventListener(t,o,!!S&&{passive:!0}),s.push([t,o])})),s}function I(t){var e,n,i,o,a,u,c=100*(t-(e=l,n=r.ort,i=e.getBoundingClientRect(),o=e.ownerDocument,a=o.documentElement,u=p(o),/webkit.*Chrome.*Mobile/i.test(navigator.userAgent)&&(u.x=0),n?i.top+u.y-a.clientTop:i.left+u.x-a.clientLeft))/_();return c=s(c),r.dir?100-c:c}function W(t,e){\"mouseout\"===t.type&&\"HTML\"===t.target.nodeName&&null===t.relatedTarget&&G(t,e)}function $(t,e){if(-1===navigator.appVersion.indexOf(\"MSIE 9\")&&0===t.buttons&&0!==e.buttonsProperty)return G(t,e);var n=(r.dir?-1:1)*(t.calcPoint-e.startCalcPoint);it(n>0,100*n/e.baseSize,e.locations,e.handleNumbers)}function G(t,e){e.handle&&(c(e.handle,r.cssClasses.active),P-=1),e.listeners.forEach((function(t){V.removeEventListener(t[0],t[1])})),0===P&&(c(w,r.cssClasses.drag),st(),t.cursor&&(k.style.cursor=\"\",k.removeEventListener(\"selectstart\",n))),e.handleNumbers.forEach((function(t){et(\"change\",t),et(\"set\",t),et(\"end\",t)}))}function J(t,e){if(e.handleNumbers.some(j))return!1;var i;1===e.handleNumbers.length&&(i=f[e.handleNumbers[0]].children[0],P+=1,u(i,r.cssClasses.active)),t.stopPropagation();var o=[],s=Y(b.move,V,$,{target:t.target,handle:i,listeners:o,startCalcPoint:t.calcPoint,baseSize:_(),pageOffset:t.pageOffset,handleNumbers:e.handleNumbers,buttonsProperty:t.buttons,locations:C.slice()}),a=Y(b.end,V,G,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers}),l=Y(\"mouseout\",V,W,{target:t.target,handle:i,listeners:o,doNotReject:!0,handleNumbers:e.handleNumbers});o.push.apply(o,s.concat(a,l)),t.cursor&&(k.style.cursor=getComputedStyle(t.target).cursor,f.length>1&&u(w,r.cssClasses.drag),k.addEventListener(\"selectstart\",n,!1)),e.handleNumbers.forEach((function(t){et(\"start\",t)}))}function K(t){t.stopPropagation();var e=I(t.calcPoint),n=function(t){var e=100,r=!1;return f.forEach((function(n,i){if(!j(i)){var o=C[i],s=Math.abs(o-t);(so||100===s&&100===e)&&(r=i,e=s)}})),r}(e);if(!1===n)return!1;r.events.snap||o(w,r.cssClasses.tap,r.animationDuration),at(n,e,!0,!0),st(),et(\"slide\",n,!0),et(\"update\",n,!0),et(\"change\",n,!0),et(\"set\",n,!0),r.events.snap&&J(t,{handleNumbers:[n]})}function Q(t){var e=I(t.calcPoint),r=y.getStep(e),n=y.fromStepping(r);Object.keys(U).forEach((function(t){\"hover\"===t.split(\".\")[0]&&U[t].forEach((function(t){t.call(g,n)}))}))}function Z(t,e){U[t]=U[t]||[],U[t].push(e),\"update\"===t.split(\".\")[0]&&f.forEach((function(t,e){et(\"update\",e)}))}function tt(t){var e=t&&t.split(\".\")[0],r=e&&t.substring(e.length);Object.keys(U).forEach((function(t){var n=t.split(\".\")[0],i=t.substring(n.length);e&&e!==n||r&&r!==i||delete U[t]}))}function et(t,e,n){Object.keys(U).forEach((function(i){var o=i.split(\".\")[0];t===o&&U[i].forEach((function(t){t.call(g,E.map(r.format.to),e,E.slice(),n||!1,C.slice(),g)}))}))}function rt(t,e,n,i,o,a){var l;return f.length>1&&!r.events.unconstrained&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.margin,0),n=Math.max(n,l)),o&&e1&&r.limit&&(i&&e>0&&(l=y.getAbsoluteDistance(t[e-1],r.limit,0),n=Math.min(n,l)),o&&e1?n.forEach((function(t,r){var n=rt(i,t,i[t]+e,o[r],s[r],!1);!1===n?e=0:(e=n-i[t],i[t]=n)})):o=s=[!0];var a=!1;n.forEach((function(t,n){a=at(t,r[t]+e,o[n],s[n])||a})),a&&n.forEach((function(t){et(\"update\",t),et(\"slide\",t)}))}function ot(t,e){return r.dir?100-t-e:t}function st(){N.forEach((function(t){var e=C[t]>50?-1:1,r=3+(f.length+e*t);f[t].style.zIndex=r}))}function at(t,e,n,i){return!1!==(e=rt(C,t,e,n,i,!1))&&(function(t,e){C[t]=e,E[t]=y.fromStepping(e);var n=\"translate(\"+nt(10*(ot(e,0)-D)+\"%\",\"0\")+\")\";f[t].style[r.transformRule]=n,lt(t),lt(t+1)}(t,e),!0)}function lt(t){if(d[t]){var e=0,n=100;0!==t&&(e=C[t-1]),t!==d.length-1&&(n=C[t]);var i=n-e,o=\"translate(\"+nt(ot(e,i)+\"%\",\"0\")+\")\",s=\"scale(\"+nt(i/100,\"1\")+\")\";d[t].style[r.transformRule]=o+\" \"+s}}function ut(t,e){return null===t||!1===t||void 0===t?C[e]:(\"number\"==typeof t&&(t=String(t)),t=r.format.from(t),!1===(t=y.toStepping(t))||isNaN(t)?C[e]:t)}function ct(t,e){var n=a(t),i=void 0===C[0];e=void 0===e||!!e,r.animate&&!i&&o(w,r.cssClasses.tap,r.animationDuration),N.forEach((function(t){at(t,ut(n[t],t),!0,!1)}));for(var s=1===N.length?0:1;sn.stepAfter.startValue&&(o=n.stepAfter.startValue-i),s=i>n.thisStep.startValue?n.thisStep.step:!1!==n.stepBefore.step&&i-n.stepBefore.highestStep,100===e?o=null:0===e&&(s=null);var a=y.countStepDecimals();return null!==o&&!1!==o&&(o=Number(o.toFixed(a))),null!==s&&!1!==s&&(s=Number(s.toFixed(a))),[s,o]}return u(v=w,r.cssClasses.target),0===r.dir?u(v,r.cssClasses.ltr):u(v,r.cssClasses.rtl),0===r.ort?u(v,r.cssClasses.horizontal):u(v,r.cssClasses.vertical),u(v,\"rtl\"===getComputedStyle(v).direction?r.cssClasses.textDirectionRtl:r.cssClasses.textDirectionLtr),l=M(v,r.cssClasses.base),function(t,e){var n=M(e,r.cssClasses.connects);f=[],(d=[]).push(L(n,t[0]));for(var i=0;i=0&&t .noUi-tooltip {\\n -webkit-transform: translate(50%, 0);\\n transform: translate(50%, 0);\\n left: auto;\\n bottom: 10px;\\n}\\n.bk-root .noUi-vertical .noUi-origin > .noUi-tooltip {\\n -webkit-transform: translate(0, -18px);\\n transform: translate(0, -18px);\\n top: auto;\\n right: 28px;\\n}\\n.bk-root .noUi-handle {\\n cursor: grab;\\n cursor: -webkit-grab;\\n}\\n.bk-root .noUi-handle.noUi-active {\\n cursor: grabbing;\\n cursor: -webkit-grabbing;\\n}\\n.bk-root .noUi-handle:after,\\n.bk-root .noUi-handle:before {\\n display: none;\\n}\\n.bk-root .noUi-tooltip {\\n display: none;\\n white-space: nowrap;\\n}\\n.bk-root .noUi-handle:hover .noUi-tooltip {\\n display: block;\\n}\\n.bk-root .noUi-horizontal {\\n width: 100%;\\n height: 10px;\\n}\\n.bk-root .noUi-vertical {\\n width: 10px;\\n height: 100%;\\n}\\n.bk-root .noUi-horizontal .noUi-handle {\\n width: 14px;\\n height: 18px;\\n right: -7px;\\n top: -5px;\\n}\\n.bk-root .noUi-vertical .noUi-handle {\\n width: 18px;\\n height: 14px;\\n right: -5px;\\n top: -7px;\\n}\\n.bk-root .noUi-target.noUi-horizontal {\\n margin: 5px 0px;\\n}\\n.bk-root .noUi-target.noUi-vertical {\\n margin: 0px 5px;\\n}\\n\"},\n", - " 415: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default=\"\\n.bk-root .bk-slider-title {\\n white-space: nowrap;\\n}\\n.bk-root .bk-slider-value {\\n font-weight: 600;\\n}\\n\"},\n", - " 416: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1).__importDefault(e(159)),a=e(411);class d extends a.AbstractSliderView{}i.DateSliderView=d,d.__name__=\"DateSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_DateSlider(){this.prototype.default_view=d,this.override({format:\"%d %b %Y\"})}_formatter(e,t){return r.default(e,t)}}i.DateSlider=s,s.__name__=\"DateSlider\",s.init_DateSlider()},\n", - " 417: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const r=e(1),_=e(418),n=r.__importStar(e(18));class s extends _.MarkupView{render(){super.render(),this.model.render_as_text?this.markup_el.textContent=this.model.text:this.markup_el.innerHTML=this.model.text}}i.DivView=s,s.__name__=\"DivView\";class a extends _.Markup{constructor(e){super(e)}static init_Div(){this.prototype.default_view=s,this.define({render_as_text:[n.Boolean,!1]})}}i.Div=a,a.__name__=\"Div\",a.init_Div()},\n", - " 418: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),a=e(193),n=e(68),l=i.__importStar(e(18)),r=e(458),_=e(419),c=i.__importDefault(e(420));class u extends r.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>{this.layout.invalidate_cache(),this.render(),this.root.compute_layout()})}styles(){return[...super.styles(),c.default]}_update_layout(){this.layout=new a.CachedVariadicBox(this.el),this.layout.set_sizing(this.box_sizing())}render(){super.render();const e=Object.assign(Object.assign({},this.model.style),{display:\"inline-block\"});this.markup_el=n.div({class:_.bk_clearfix,style:e}),this.el.appendChild(this.markup_el)}}s.MarkupView=u,u.__name__=\"MarkupView\";class o extends r.Widget{constructor(e){super(e)}static init_Markup(){this.define({text:[l.String,\"\"],style:[l.Any,{}]})}}s.Markup=o,o.__name__=\"Markup\",o.init_Markup()},\n", - " 419: function _(e,c,f){Object.defineProperty(f,\"__esModule\",{value:!0}),f.bk_clearfix=\"bk-clearfix\"},\n", - " 420: function _(e,n,t){Object.defineProperty(t,\"__esModule\",{value:!0});t.default='\\n.bk-root .bk-clearfix:before,\\n.bk-root .bk-clearfix:after {\\n content: \"\";\\n display: table;\\n}\\n.bk-root .bk-clearfix:after {\\n clear: both;\\n}\\n'},\n", - " 421: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(392),o=e(291),_=e(68),d=n.__importStar(e(18)),l=e(8),r=e(146),u=e(254),c=e(255),h=n.__importDefault(e(257));class p extends s.AbstractButtonView{constructor(){super(...arguments),this._open=!1}styles(){return[...super.styles(),h.default]}render(){super.render();const e=_.div({class:[c.bk_caret,r.bk_down]});if(this.model.is_split){const t=this._render_button(e);t.classList.add(u.bk_dropdown_toggle),t.addEventListener(\"click\",()=>this._toggle_menu()),this.group_el.appendChild(t)}else this.button_el.appendChild(e);const t=this.model.menu.map((e,t)=>{if(null==e)return _.div({class:c.bk_divider});{const i=l.isString(e)?e:e[0],n=_.div({},i);return n.addEventListener(\"click\",()=>this._item_click(t)),n}});this.menu=_.div({class:[c.bk_menu,r.bk_below]},t),this.el.appendChild(this.menu),_.undisplay(this.menu)}_show_menu(){if(!this._open){this._open=!0,_.display(this.menu);const e=t=>{const{target:i}=t;i instanceof HTMLElement&&!this.el.contains(i)&&(document.removeEventListener(\"click\",e),this._hide_menu())};document.addEventListener(\"click\",e)}}_hide_menu(){this._open&&(this._open=!1,_.undisplay(this.menu))}_toggle_menu(){this._open?this._hide_menu():this._show_menu()}click(){this.model.is_split?(this._hide_menu(),this.model.trigger_event(new o.ButtonClick),super.click()):this._toggle_menu()}_item_click(e){this._hide_menu();const t=this.model.menu[e];if(null!=t){const i=l.isString(t)?t:t[1];l.isString(i)?this.model.trigger_event(new o.MenuItemClick(i)):i.execute(this.model,{index:e})}}}i.DropdownView=p,p.__name__=\"DropdownView\";class m extends s.AbstractButton{constructor(e){super(e)}static init_Dropdown(){this.prototype.default_view=p,this.define({split:[d.Boolean,!1],menu:[d.Array,[]]}),this.override({label:\"Dropdown\"})}get is_split(){return this.split}}i.Dropdown=m,m.__name__=\"Dropdown\",m.init_Dropdown()},\n", - " 422: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const l=e(1).__importStar(e(18)),s=e(458);class n extends s.WidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.properties.width.change,()=>this.render())}render(){null==this.dialogEl&&(this.dialogEl=document.createElement(\"input\"),this.dialogEl.type=\"file\",this.dialogEl.multiple=this.model.multiple,this.dialogEl.onchange=()=>{const{files:e}=this.dialogEl;null!=e&&this.load_files(e)},this.el.appendChild(this.dialogEl)),null!=this.model.accept&&\"\"!=this.model.accept&&(this.dialogEl.accept=this.model.accept),this.dialogEl.style.width=\"{this.model.width}px\",this.dialogEl.disabled=this.model.disabled}async load_files(e){const t=[],i=[],l=[];let s;for(s=0;s{const l=new FileReader;l.onload=()=>{var s;const{result:n}=l;null!=n?t(n):i(null!==(s=l.error)&&void 0!==s?s:new Error(`unable to read '${e.name}'`))},l.readAsDataURL(e)})}}i.FileInputView=n,n.__name__=\"FileInputView\";class o extends s.Widget{constructor(e){super(e)}static init_FileInput(){this.prototype.default_view=n,this.define({value:[l.Any,\"\"],mime_type:[l.Any,\"\"],filename:[l.Any,\"\"],accept:[l.String,\"\"],multiple:[l.Boolean,!1]})}}i.FileInput=o,o.__name__=\"FileInput\",o.init_FileInput()},\n", - " 423: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const i=e(1),n=e(68),l=e(8),o=i.__importStar(e(18)),c=e(398),r=e(400);class h extends c.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render()),this.connect(this.model.properties.size.change,()=>this.render()),this.connect(this.model.properties.disabled.change,()=>this.render())}render(){super.render();const e=this.model.options.map(e=>{let t,s;return l.isString(e)?t=s=e:[t,s]=e,n.option({value:t},s)});this.select_el=n.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.select_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.select_el),this.render_selection()}render_selection(){const e=new Set(this.model.value);for(const t of this.el.querySelectorAll(\"option\"))t.selected=e.has(t.value);this.select_el.size=this.model.size}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of this.el.querySelectorAll(\"option\"))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}s.MultiSelectView=h,h.__name__=\"MultiSelectView\";class d extends c.InputWidget{constructor(e){super(e)}static init_MultiSelect(){this.prototype.default_view=h,this.define({value:[o.Array,[]],options:[o.Array,[]],size:[o.Number,4]})}}s.MultiSelect=d,d.__name__=\"MultiSelect\",d.init_MultiSelect()},\n", - " 424: function _(a,e,r){Object.defineProperty(r,\"__esModule\",{value:!0});const t=a(418),p=a(68);class s extends t.MarkupView{render(){super.render();const a=p.p({style:{margin:0}},this.model.text);this.markup_el.appendChild(a)}}r.ParagraphView=s,s.__name__=\"ParagraphView\";class i extends t.Markup{constructor(a){super(a)}static init_Paragraph(){this.prototype.default_view=s}}r.Paragraph=i,i.__name__=\"Paragraph\",i.init_Paragraph()},\n", - " 425: function _(e,t,s){Object.defineProperty(s,\"__esModule\",{value:!0});const n=e(397);class r extends n.TextInputView{render(){super.render(),this.input_el.type=\"password\"}}s.PasswordInputView=r,r.__name__=\"PasswordInputView\";class p extends n.TextInput{constructor(e){super(e)}static init_PasswordInput(){this.prototype.default_view=r}}s.PasswordInput=p,p.__name__=\"PasswordInput\",p.init_PasswordInput()},\n", - " 426: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),l=s.__importDefault(e(427)),o=e(68),n=e(8),h=s.__importStar(e(18)),r=e(400),c=s.__importDefault(e(428)),d=e(398);class a extends d.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.value.change,()=>this.render_selection()),this.connect(this.model.properties.disabled.change,()=>this.set_disabled()),this.connect(this.model.properties.max_items.change,()=>this.render()),this.connect(this.model.properties.option_limit.change,()=>this.render()),this.connect(this.model.properties.delete_button.change,()=>this.render()),this.connect(this.model.properties.placeholder.change,()=>this.render()),this.connect(this.model.properties.options.change,()=>this.render()),this.connect(this.model.properties.name.change,()=>this.render()),this.connect(this.model.properties.title.change,()=>this.render())}styles(){return[...super.styles(),c.default]}render(){super.render();const e=this.model.options.map(e=>{let t,i;return n.isString(e)?t=i=e:[t,i]=e,o.option({value:t},i)});this.select_el=o.select({multiple:!0,class:r.bk_input,name:this.model.name,disabled:this.model.disabled},e),this.group_el.appendChild(this.select_el),this.render_selection();let t=\"choices__item\",i=\"choices__button\";this.model.solid?(t+=\" solid\",i+=\" solid\"):(t+=\" light\",i+=\" light\");const s={removeItemButton:this.model.delete_button,classNames:{item:t,button:i}};null!==this.model.placeholder&&(s.placeholderValue=this.model.placeholder),null!==this.model.max_items&&(s.maxItemCount=this.model.max_items),null!==this.model.option_limit&&(s.renderChoiceLimit=this.model.option_limit),this.choice_el=new l.default(this.select_el,s),this.select_el.addEventListener(\"change\",()=>this.change_input())}render_selection(){const e=new Set(this.model.value);for(const t of Array.from(this.el.querySelectorAll(\"option\")))t.selected=e.has(t.value)}set_disabled(){this.model.disabled?this.choice_el.disable():this.choice_el.enable()}change_input(){const e=null!=this.el.querySelector(\"select:focus\"),t=[];for(const e of Array.from(this.el.querySelectorAll(\"option\")))e.selected&&t.push(e.value);this.model.value=t,super.change_input(),e&&this.select_el.focus()}}i.MultiChoiceView=a,a.__name__=\"MultiChoiceView\";class u extends d.InputWidget{constructor(e){super(e)}static init_MultiChoice(){this.prototype.default_view=a,this.define({value:[h.Array,[]],options:[h.Array,[]],max_items:[h.Number,null],delete_button:[h.Boolean,!0],placeholder:[h.String,null],option_limit:[h.Number,null],solid:[h.Boolean,!0]})}}i.MultiChoice=u,u.__name__=\"MultiChoice\",u.init_MultiChoice()},\n", - " 427: function _(e,t,i){\n", - " /*! choices.js v9.0.1 | © 2019 Josh Johnson | https://github.com/jshjohnson/Choices#readme */\n", - " var n,s;n=window,s=function(){return function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"/public/assets/scripts/\",i(i.s=4)}([function(e,t,i){\"use strict\";var n=function(e){return function(e){return!!e&&\"object\"==typeof e}(e)&&!function(e){var t=Object.prototype.toString.call(e);return\"[object RegExp]\"===t||\"[object Date]\"===t||function(e){return e.$$typeof===s}(e)}(e)},s=\"function\"==typeof Symbol&&Symbol.for?Symbol.for(\"react.element\"):60103;function r(e,t){return!1!==t.clone&&t.isMergeableObject(e)?l((i=e,Array.isArray(i)?[]:{}),e,t):e;var i}function o(e,t,i){return e.concat(t).map((function(e){return r(e,i)}))}function a(e){return Object.keys(e).concat(function(e){return Object.getOwnPropertySymbols?Object.getOwnPropertySymbols(e).filter((function(t){return e.propertyIsEnumerable(t)})):[]}(e))}function c(e,t,i){var n={};return i.isMergeableObject(e)&&a(e).forEach((function(t){n[t]=r(e[t],i)})),a(t).forEach((function(s){(function(e,t){try{return t in e&&!(Object.hasOwnProperty.call(e,t)&&Object.propertyIsEnumerable.call(e,t))}catch(e){return!1}})(e,s)||(i.isMergeableObject(t[s])&&e[s]?n[s]=function(e,t){if(!t.customMerge)return l;var i=t.customMerge(e);return\"function\"==typeof i?i:l}(s,i)(e[s],t[s],i):n[s]=r(t[s],i))})),n}function l(e,t,i){(i=i||{}).arrayMerge=i.arrayMerge||o,i.isMergeableObject=i.isMergeableObject||n,i.cloneUnlessOtherwiseSpecified=r;var s=Array.isArray(t);return s===Array.isArray(e)?s?i.arrayMerge(e,t,i):c(e,t,i):r(t,i)}l.all=function(e,t){if(!Array.isArray(e))throw new Error(\"first argument should be an array\");return e.reduce((function(e,i){return l(e,i,t)}),{})};var h=l;e.exports=h},function(e,t,i){\"use strict\";(function(e,n){var s,r=i(3);s=\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:void 0!==e?e:n;var o=Object(r.a)(s);t.a=o}).call(this,i(5),i(6)(e))},function(e,t,i){\n", - " /*!\n", - " * Fuse.js v3.4.5 - Lightweight fuzzy-search (http://fusejs.io)\n", - " *\n", - " * Copyright (c) 2012-2017 Kirollos Risk (http://kiro.me)\n", - " * All Rights Reserved. Apache Software License 2.0\n", - " *\n", - " * http://www.apache.org/licenses/LICENSE-2.0\n", - " */\n", - " e.exports=function(e){var t={};function i(n){if(t[n])return t[n].exports;var s=t[n]={i:n,l:!1,exports:{}};return e[n].call(s.exports,s,s.exports,i),s.l=!0,s.exports}return i.m=e,i.c=t,i.d=function(e,t,n){i.o(e,t)||Object.defineProperty(e,t,{enumerable:!0,get:n})},i.r=function(e){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(e,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(e,\"__esModule\",{value:!0})},i.t=function(e,t){if(1&t&&(e=i(e)),8&t)return e;if(4&t&&\"object\"==typeof e&&e&&e.__esModule)return e;var n=Object.create(null);if(i.r(n),Object.defineProperty(n,\"default\",{enumerable:!0,value:e}),2&t&&\"string\"!=typeof e)for(var s in e)i.d(n,s,function(t){return e[t]}.bind(null,s));return n},i.n=function(e){var t=e&&e.__esModule?function(){return e.default}:function(){return e};return i.d(t,\"a\",t),t},i.o=function(e,t){return Object.prototype.hasOwnProperty.call(e,t)},i.p=\"\",i(i.s=1)}([function(e,t){e.exports=function(e){return Array.isArray?Array.isArray(e):\"[object Array]\"===Object.prototype.toString.call(e)}},function(e,t,i){function n(e){return(n=\"function\"==typeof Symbol&&\"symbol\"==typeof Symbol.iterator?function(e){return typeof e}:function(e){return e&&\"function\"==typeof Symbol&&e.constructor===Symbol&&e!==Symbol.prototype?\"symbol\":typeof e})(e)}function s(e,t){for(var i=0;i1&&void 0!==arguments[1]?arguments[1]:{limit:!1};this._log('---------\\nSearch pattern: \"'.concat(e,'\"'));var i=this._prepareSearchers(e),n=i.tokenSearchers,s=i.fullSearcher,r=this._search(n,s),o=r.weights,a=r.results;return this._computeScore(o,a),this.options.shouldSort&&this._sort(a),t.limit&&\"number\"==typeof t.limit&&(a=a.slice(0,t.limit)),this._format(a)}},{key:\"_prepareSearchers\",value:function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:\"\",t=[];if(this.options.tokenize)for(var i=e.split(this.options.tokenSeparator),n=0,s=i.length;n0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1?arguments[1]:void 0,i=this.list,n={},s=[];if(\"string\"==typeof i[0]){for(var r=0,o=i.length;r1)throw new Error(\"Key weight has to be > 0 and <= 1\");p=p.name}else a[p]={weight:1};this._analyze({key:p,value:this.options.getFn(h,p),record:h,index:c},{resultMap:n,results:s,tokenSearchers:e,fullSearcher:t})}return{weights:a,results:s}}},{key:\"_analyze\",value:function(e,t){var i=e.key,n=e.arrayIndex,s=void 0===n?-1:n,r=e.value,o=e.record,c=e.index,l=t.tokenSearchers,h=void 0===l?[]:l,u=t.fullSearcher,d=void 0===u?[]:u,p=t.resultMap,m=void 0===p?{}:p,f=t.results,v=void 0===f?[]:f;if(null!=r){var g=!1,_=-1,b=0;if(\"string\"==typeof r){this._log(\"\\nKey: \".concat(\"\"===i?\"-\":i));var y=d.search(r);if(this._log('Full text: \"'.concat(r,'\", score: ').concat(y.score)),this.options.tokenize){for(var E=r.split(this.options.tokenSeparator),I=[],S=0;S-1&&(P=(P+_)/2),this._log(\"Score average:\",P);var D=!this.options.tokenize||!this.options.matchAllTokens||b>=h.length;if(this._log(\"\\nCheck Matches: \".concat(D)),(g||y.isMatch)&&D){var M=m[c];M?M.output.push({key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}):(m[c]={item:o,output:[{key:i,arrayIndex:s,value:r,score:P,matchedIndices:y.matchedIndices}]},v.push(m[c]))}}else if(a(r))for(var N=0,F=r.length;N-1&&(o.arrayIndex=r.arrayIndex),t.matches.push(o)}}})),this.options.includeScore&&s.push((function(e,t){t.score=e.score}));for(var r=0,o=e.length;ri)return s(e,this.pattern,n);var o=this.options,a=o.location,c=o.distance,l=o.threshold,h=o.findAllMatches,u=o.minMatchCharLength;return r(e,this.pattern,this.patternAlphabet,{location:a,distance:c,threshold:l,findAllMatches:h,minMatchCharLength:u})}}])&&n(t.prototype,i),e}();e.exports=a},function(e,t){var i=/[\\-\\[\\]\\/\\{\\}\\(\\)\\*\\+\\?\\.\\\\\\^\\$\\|]/g;e.exports=function(e,t){var n=arguments.length>2&&void 0!==arguments[2]?arguments[2]:/ +/g,s=new RegExp(t.replace(i,\"\\\\$&\").replace(n,\"|\")),r=e.match(s),o=!!r,a=[];if(o)for(var c=0,l=r.length;c=P;N-=1){var F=N-1,j=i[e.charAt(F)];if(j&&(E[F]=1),M[N]=(M[N+1]<<1|1)&j,0!==T&&(M[N]|=(O[N+1]|O[N])<<1|1|O[N+1]),M[N]&L&&(C=n(t,{errors:T,currentLocation:F,expectedLocation:v,distance:l}))<=_){if(_=C,(b=F)<=v)break;P=Math.max(1,2*v-b)}}if(n(t,{errors:T+1,currentLocation:v,expectedLocation:v,distance:l})>_)break;O=M}return{isMatch:b>=0,score:0===C?.001:C,matchedIndices:s(E,f)}}},function(e,t){e.exports=function(e,t){var i=t.errors,n=void 0===i?0:i,s=t.currentLocation,r=void 0===s?0:s,o=t.expectedLocation,a=void 0===o?0:o,c=t.distance,l=void 0===c?100:c,h=n/e.length,u=Math.abs(a-r);return l?h+u/l:u?1:h}},function(e,t){e.exports=function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:[],t=arguments.length>1&&void 0!==arguments[1]?arguments[1]:1,i=[],n=-1,s=-1,r=0,o=e.length;r=t&&i.push([n,s]),n=-1)}return e[r-1]&&r-n>=t&&i.push([n,r-1]),i}},function(e,t){e.exports=function(e){for(var t={},i=e.length,n=0;n/g,\"&rt;\").replace(/-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!0),i})):e;case\"REMOVE_ITEM\":return t.choiceId>-1?e.map((function(e){var i=e;return i.id===parseInt(t.choiceId,10)&&(i.selected=!1),i})):e;case\"FILTER_CHOICES\":return e.map((function(e){var i=e;return i.active=t.results.some((function(e){var t=e.item,n=e.score;return t.id===i.id&&(i.score=n,!0)})),i}));case\"ACTIVATE_CHOICES\":return e.map((function(e){var i=e;return i.active=t.active,i}));case\"CLEAR_CHOICES\":return v;default:return e}},general:_}),A=function(e,t){var i=e;if(\"CLEAR_ALL\"===t.type)i=void 0;else if(\"RESET_TO\"===t.type)return O(t.state);return C(i,t)};function L(e,t){for(var i=0;i\"'+I(e)+'\"'},maxItemText:function(e){return\"Only \"+e+\" values can be added\"},valueComparer:function(e,t){return e===t},fuseOptions:{includeScore:!0},callbackOnInit:null,callbackOnCreateTemplates:null,classNames:{containerOuter:\"choices\",containerInner:\"choices__inner\",input:\"choices__input\",inputCloned:\"choices__input--cloned\",list:\"choices__list\",listItems:\"choices__list--multiple\",listSingle:\"choices__list--single\",listDropdown:\"choices__list--dropdown\",item:\"choices__item\",itemSelectable:\"choices__item--selectable\",itemDisabled:\"choices__item--disabled\",itemChoice:\"choices__item--choice\",placeholder:\"choices__placeholder\",group:\"choices__group\",groupHeading:\"choices__heading\",button:\"choices__button\",activeState:\"is-active\",focusState:\"is-focused\",openState:\"is-open\",disabledState:\"is-disabled\",highlightedState:\"is-highlighted\",selectedState:\"is-selected\",flippedState:\"is-flipped\",loadingState:\"is-loading\",noResults:\"has-no-results\",noChoices:\"has-no-choices\"}},D=\"showDropdown\",M=\"hideDropdown\",N=\"change\",F=\"choice\",j=\"search\",K=\"addItem\",R=\"removeItem\",H=\"highlightItem\",B=\"highlightChoice\",V=\"ADD_CHOICE\",G=\"FILTER_CHOICES\",q=\"ACTIVATE_CHOICES\",U=\"CLEAR_CHOICES\",z=\"ADD_GROUP\",W=\"ADD_ITEM\",X=\"REMOVE_ITEM\",$=\"HIGHLIGHT_ITEM\",J=46,Y=8,Z=13,Q=65,ee=27,te=38,ie=40,ne=33,se=34,re=function(){function e(e){var t=e.element,i=e.type,n=e.classNames,s=e.position;this.element=t,this.classNames=n,this.type=i,this.position=s,this.isOpen=!1,this.isFlipped=!1,this.isFocussed=!1,this.isDisabled=!1,this.isLoading=!1,this._onFocus=this._onFocus.bind(this),this._onBlur=this._onBlur.bind(this)}var t=e.prototype;return t.addEventListeners=function(){this.element.addEventListener(\"focus\",this._onFocus),this.element.addEventListener(\"blur\",this._onBlur)},t.removeEventListeners=function(){this.element.removeEventListener(\"focus\",this._onFocus),this.element.removeEventListener(\"blur\",this._onBlur)},t.shouldFlip=function(e){if(\"number\"!=typeof e)return!1;var t=!1;return\"auto\"===this.position?t=!window.matchMedia(\"(min-height: \"+(e+1)+\"px)\").matches:\"top\"===this.position&&(t=!0),t},t.setActiveDescendant=function(e){this.element.setAttribute(\"aria-activedescendant\",e)},t.removeActiveDescendant=function(){this.element.removeAttribute(\"aria-activedescendant\")},t.open=function(e){this.element.classList.add(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"true\"),this.isOpen=!0,this.shouldFlip(e)&&(this.element.classList.add(this.classNames.flippedState),this.isFlipped=!0)},t.close=function(){this.element.classList.remove(this.classNames.openState),this.element.setAttribute(\"aria-expanded\",\"false\"),this.removeActiveDescendant(),this.isOpen=!1,this.isFlipped&&(this.element.classList.remove(this.classNames.flippedState),this.isFlipped=!1)},t.focus=function(){this.isFocussed||this.element.focus()},t.addFocusState=function(){this.element.classList.add(this.classNames.focusState)},t.removeFocusState=function(){this.element.classList.remove(this.classNames.focusState)},t.enable=function(){this.element.classList.remove(this.classNames.disabledState),this.element.removeAttribute(\"aria-disabled\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"0\"),this.isDisabled=!1},t.disable=function(){this.element.classList.add(this.classNames.disabledState),this.element.setAttribute(\"aria-disabled\",\"true\"),\"select-one\"===this.type&&this.element.setAttribute(\"tabindex\",\"-1\"),this.isDisabled=!0},t.wrap=function(e){!function(e,t){void 0===t&&(t=document.createElement(\"div\")),e.nextSibling?e.parentNode.insertBefore(t,e.nextSibling):e.parentNode.appendChild(t),t.appendChild(e)}(e,this.element)},t.unwrap=function(e){this.element.parentNode.insertBefore(e,this.element),this.element.parentNode.removeChild(this.element)},t.addLoadingState=function(){this.element.classList.add(this.classNames.loadingState),this.element.setAttribute(\"aria-busy\",\"true\"),this.isLoading=!0},t.removeLoadingState=function(){this.element.classList.remove(this.classNames.loadingState),this.element.removeAttribute(\"aria-busy\"),this.isLoading=!1},t._onFocus=function(){this.isFocussed=!0},t._onBlur=function(){this.isFocussed=!1},e}();function oe(e,t){for(var i=0;i0?this.element.scrollTop+o-s:e.offsetTop;requestAnimationFrame((function(){i._animateScroll(a,t)}))}},t._scrollDown=function(e,t,i){var n=(i-e)/t,s=n>1?n:1;this.element.scrollTop=e+s},t._scrollUp=function(e,t,i){var n=(e-i)/t,s=n>1?n:1;this.element.scrollTop=e-s},t._animateScroll=function(e,t){var i=this,n=this.element.scrollTop,s=!1;t>0?(this._scrollDown(n,4,e),ne&&(s=!0)),s&&requestAnimationFrame((function(){i._animateScroll(e,t)}))},e}();function le(e,t){for(var i=0;i0?\"treeitem\":\"option\"),Object.assign(g.dataset,{choice:\"\",id:l,value:h,selectText:i}),m?(g.classList.add(a),g.dataset.choiceDisabled=\"\",g.setAttribute(\"aria-disabled\",\"true\")):(g.classList.add(r),g.dataset.choiceSelectable=\"\"),g},input:function(e,t){var i=e.input,n=e.inputCloned,s=Object.assign(document.createElement(\"input\"),{type:\"text\",className:i+\" \"+n,autocomplete:\"off\",autocapitalize:\"off\",spellcheck:!1});return s.setAttribute(\"role\",\"textbox\"),s.setAttribute(\"aria-autocomplete\",\"list\"),s.setAttribute(\"aria-label\",t),s},dropdown:function(e){var t=e.list,i=e.listDropdown,n=document.createElement(\"div\");return n.classList.add(t,i),n.setAttribute(\"aria-expanded\",\"false\"),n},notice:function(e,t,i){var n=e.item,s=e.itemChoice,r=e.noResults,o=e.noChoices;void 0===i&&(i=\"\");var a=[n,s];return\"no-choices\"===i?a.push(o):\"no-results\"===i&&a.push(r),Object.assign(document.createElement(\"div\"),{innerHTML:t,className:a.join(\" \")})},option:function(e){var t=e.label,i=e.value,n=e.customProperties,s=e.active,r=e.disabled,o=new Option(t,i,!1,s);return n&&(o.dataset.customProperties=n),o.disabled=r,o}},ve=function(e){return void 0===e&&(e=!0),{type:q,active:e}},ge=function(e,t){return{type:$,id:e,highlighted:t}},_e=function(e){var t=e.value,i=e.id,n=e.active,s=e.disabled;return{type:z,value:t,id:i,active:n,disabled:s}},be=function(e){return{type:\"SET_IS_LOADING\",isLoading:e}};function ye(e,t){for(var i=0;i=0?this._store.getGroupById(s):null;return this._store.dispatch(ge(i,!0)),t&&this.passedElement.triggerEvent(H,{id:i,value:o,label:c,groupValue:l&&l.value?l.value:null}),this},r.unhighlightItem=function(e){if(!e)return this;var t=e.id,i=e.groupId,n=void 0===i?-1:i,s=e.value,r=void 0===s?\"\":s,o=e.label,a=void 0===o?\"\":o,c=n>=0?this._store.getGroupById(n):null;return this._store.dispatch(ge(t,!1)),this.passedElement.triggerEvent(H,{id:t,value:r,label:a,groupValue:c&&c.value?c.value:null}),this},r.highlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.highlightItem(t)})),this},r.unhighlightAll=function(){var e=this;return this._store.items.forEach((function(t){return e.unhighlightItem(t)})),this},r.removeActiveItemsByValue=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.value===e})).forEach((function(e){return t._removeItem(e)})),this},r.removeActiveItems=function(e){var t=this;return this._store.activeItems.filter((function(t){return t.id!==e})).forEach((function(e){return t._removeItem(e)})),this},r.removeHighlightedItems=function(e){var t=this;return void 0===e&&(e=!1),this._store.highlightedActiveItems.forEach((function(i){t._removeItem(i),e&&t._triggerChange(i.value)})),this},r.showDropdown=function(e){var t=this;return this.dropdown.isActive||requestAnimationFrame((function(){t.dropdown.show(),t.containerOuter.open(t.dropdown.distanceFromTopWindow),!e&&t._canSearch&&t.input.focus(),t.passedElement.triggerEvent(D,{})})),this},r.hideDropdown=function(e){var t=this;return this.dropdown.isActive?(requestAnimationFrame((function(){t.dropdown.hide(),t.containerOuter.close(),!e&&t._canSearch&&(t.input.removeActiveDescendant(),t.input.blur()),t.passedElement.triggerEvent(M,{})})),this):this},r.getValue=function(e){void 0===e&&(e=!1);var t=this._store.activeItems.reduce((function(t,i){var n=e?i.value:i;return t.push(n),t}),[]);return this._isSelectOneElement?t[0]:t},r.setValue=function(e){var t=this;return this.initialised?(e.forEach((function(e){return t._setChoiceOrItem(e)})),this):this},r.setChoiceByValue=function(e){var t=this;return!this.initialised||this._isTextElement||(Array.isArray(e)?e:[e]).forEach((function(e){return t._findAndSelectChoiceByValue(e)})),this},r.setChoices=function(e,t,i,n){var s=this;if(void 0===e&&(e=[]),void 0===t&&(t=\"value\"),void 0===i&&(i=\"label\"),void 0===n&&(n=!1),!this.initialised)throw new ReferenceError(\"setChoices was called on a non-initialized instance of Choices\");if(!this._isSelectElement)throw new TypeError(\"setChoices can't be used with INPUT based Choices\");if(\"string\"!=typeof t||!t)throw new TypeError(\"value parameter must be a name of 'value' field in passed objects\");if(n&&this.clearChoices(),\"function\"==typeof e){var r=e(this);if(\"function\"==typeof Promise&&r instanceof Promise)return new Promise((function(e){return requestAnimationFrame(e)})).then((function(){return s._handleLoadingState(!0)})).then((function(){return r})).then((function(e){return s.setChoices(e,t,i,n)})).catch((function(e){s.config.silent||console.error(e)})).then((function(){return s._handleLoadingState(!1)})).then((function(){return s}));if(!Array.isArray(r))throw new TypeError(\".setChoices first argument function must return either array of choices or Promise, got: \"+typeof r);return this.setChoices(r,t,i,!1)}if(!Array.isArray(e))throw new TypeError(\".setChoices must be called either with array of choices with a function resulting into Promise of array of choices\");return this.containerOuter.removeLoadingState(),this._startLoading(),e.forEach((function(e){e.choices?s._addGroup({id:parseInt(e.id,10)||null,group:e,valueKey:t,labelKey:i}):s._addChoice({value:e[t],label:e[i],isSelected:e.selected,isDisabled:e.disabled,customProperties:e.customProperties,placeholder:e.placeholder})})),this._stopLoading(),this},r.clearChoices=function(){return this._store.dispatch({type:U}),this},r.clearStore=function(){return this._store.dispatch({type:\"CLEAR_ALL\"}),this},r.clearInput=function(){var e=!this._isSelectOneElement;return this.input.clear(e),!this._isTextElement&&this._canSearch&&(this._isSearching=!1,this._store.dispatch(ve(!0))),this},r._render=function(){if(!this._store.isLoading()){this._currentState=this._store.state;var e=this._currentState.choices!==this._prevState.choices||this._currentState.groups!==this._prevState.groups||this._currentState.items!==this._prevState.items,t=this._isSelectElement,i=this._currentState.items!==this._prevState.items;e&&(t&&this._renderChoices(),i&&this._renderItems(),this._prevState=this._currentState)}},r._renderChoices=function(){var e=this,t=this._store,i=t.activeGroups,n=t.activeChoices,s=document.createDocumentFragment();if(this.choiceList.clear(),this.config.resetScrollPosition&&requestAnimationFrame((function(){return e.choiceList.scrollToTop()})),i.length>=1&&!this._isSearching){var r=n.filter((function(e){return!0===e.placeholder&&-1===e.groupId}));r.length>=1&&(s=this._createChoicesFragment(r,s)),s=this._createGroupsFragment(i,n,s)}else n.length>=1&&(s=this._createChoicesFragment(n,s));if(s.childNodes&&s.childNodes.length>0){var o=this._store.activeItems,a=this._canAddItem(o,this.input.value);a.response?(this.choiceList.append(s),this._highlightChoice()):this.choiceList.append(this._getTemplate(\"notice\",a.notice))}else{var c,l;this._isSearching?(l=\"function\"==typeof this.config.noResultsText?this.config.noResultsText():this.config.noResultsText,c=this._getTemplate(\"notice\",l,\"no-results\")):(l=\"function\"==typeof this.config.noChoicesText?this.config.noChoicesText():this.config.noChoicesText,c=this._getTemplate(\"notice\",l,\"no-choices\")),this.choiceList.append(c)}},r._renderItems=function(){var e=this._store.activeItems||[];this.itemList.clear();var t=this._createItemsFragment(e);t.childNodes&&this.itemList.append(t)},r._createGroupsFragment=function(e,t,i){var n=this;return void 0===i&&(i=document.createDocumentFragment()),this.config.shouldSort&&e.sort(this.config.sorter),e.forEach((function(e){var s=function(e){return t.filter((function(t){return n._isSelectOneElement?t.groupId===e.id:t.groupId===e.id&&(\"always\"===n.config.renderSelectedChoices||!t.selected)}))}(e);if(s.length>=1){var r=n._getTemplate(\"choiceGroup\",e);i.appendChild(r),n._createChoicesFragment(s,i,!0)}})),i},r._createChoicesFragment=function(e,t,i){var n=this;void 0===t&&(t=document.createDocumentFragment()),void 0===i&&(i=!1);var s=this.config,r=s.renderSelectedChoices,o=s.searchResultLimit,a=s.renderChoiceLimit,c=this._isSearching?w:this.config.sorter,l=function(e){if(\"auto\"!==r||n._isSelectOneElement||!e.selected){var i=n._getTemplate(\"choice\",e,n.config.itemSelectText);t.appendChild(i)}},h=e;\"auto\"!==r||this._isSelectOneElement||(h=e.filter((function(e){return!e.selected})));var u=h.reduce((function(e,t){return t.placeholder?e.placeholderChoices.push(t):e.normalChoices.push(t),e}),{placeholderChoices:[],normalChoices:[]}),d=u.placeholderChoices,p=u.normalChoices;(this.config.shouldSort||this._isSearching)&&p.sort(c);var m=h.length,f=this._isSelectOneElement?[].concat(d,p):p;this._isSearching?m=o:a&&a>0&&!i&&(m=a);for(var v=0;v=n){var o=s?this._searchChoices(e):0;this.passedElement.triggerEvent(j,{value:e,resultCount:o})}else r&&(this._isSearching=!1,this._store.dispatch(ve(!0)))}},r._canAddItem=function(e,t){var i=!0,n=\"function\"==typeof this.config.addItemText?this.config.addItemText(t):this.config.addItemText;if(!this._isSelectOneElement){var s=function(e,t,i){return void 0===i&&(i=\"value\"),e.some((function(e){return\"string\"==typeof t?e[i]===t.trim():e[i]===t}))}(e,t);this.config.maxItemCount>0&&this.config.maxItemCount<=e.length&&(i=!1,n=\"function\"==typeof this.config.maxItemText?this.config.maxItemText(this.config.maxItemCount):this.config.maxItemText),!this.config.duplicateItemsAllowed&&s&&i&&(i=!1,n=\"function\"==typeof this.config.uniqueItemText?this.config.uniqueItemText(t):this.config.uniqueItemText),this._isTextElement&&this.config.addItems&&i&&\"function\"==typeof this.config.addItemFilter&&!this.config.addItemFilter(t)&&(i=!1,n=\"function\"==typeof this.config.customAddItemText?this.config.customAddItemText(t):this.config.customAddItemText)}return{response:i,notice:n}},r._searchChoices=function(e){var t=\"string\"==typeof e?e.trim():e,i=\"string\"==typeof this._currentValue?this._currentValue.trim():this._currentValue;if(t.length<1&&t===i+\" \")return 0;var n=this._store.searchableChoices,r=t,o=[].concat(this.config.searchFields),a=Object.assign(this.config.fuseOptions,{keys:o}),c=new s.a(n,a).search(r);return this._currentValue=t,this._highlightPosition=0,this._isSearching=!0,this._store.dispatch(function(e){return{type:G,results:e}}(c)),c.length},r._addEventListeners=function(){var e=document.documentElement;e.addEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.addEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.addEventListener(\"mousedown\",this._onMouseDown,!0),e.addEventListener(\"click\",this._onClick,{passive:!0}),e.addEventListener(\"touchmove\",this._onTouchMove,{passive:!0}),this.dropdown.element.addEventListener(\"mouseover\",this._onMouseOver,{passive:!0}),this._isSelectOneElement&&(this.containerOuter.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.containerOuter.element.addEventListener(\"blur\",this._onBlur,{passive:!0})),this.input.element.addEventListener(\"keyup\",this._onKeyUp,{passive:!0}),this.input.element.addEventListener(\"focus\",this._onFocus,{passive:!0}),this.input.element.addEventListener(\"blur\",this._onBlur,{passive:!0}),this.input.element.form&&this.input.element.form.addEventListener(\"reset\",this._onFormReset,{passive:!0}),this.input.addEventListeners()},r._removeEventListeners=function(){var e=document.documentElement;e.removeEventListener(\"touchend\",this._onTouchEnd,!0),this.containerOuter.element.removeEventListener(\"keydown\",this._onKeyDown,!0),this.containerOuter.element.removeEventListener(\"mousedown\",this._onMouseDown,!0),e.removeEventListener(\"click\",this._onClick),e.removeEventListener(\"touchmove\",this._onTouchMove),this.dropdown.element.removeEventListener(\"mouseover\",this._onMouseOver),this._isSelectOneElement&&(this.containerOuter.element.removeEventListener(\"focus\",this._onFocus),this.containerOuter.element.removeEventListener(\"blur\",this._onBlur)),this.input.element.removeEventListener(\"keyup\",this._onKeyUp),this.input.element.removeEventListener(\"focus\",this._onFocus),this.input.element.removeEventListener(\"blur\",this._onBlur),this.input.element.form&&this.input.element.form.removeEventListener(\"reset\",this._onFormReset),this.input.removeEventListeners()},r._onKeyDown=function(e){var t,i=e.target,n=e.keyCode,s=e.ctrlKey,r=e.metaKey,o=this._store.activeItems,a=this.input.isFocussed,c=this.dropdown.isActive,l=this.itemList.hasChildren(),h=String.fromCharCode(n),u=J,d=Y,p=Z,m=Q,f=ee,v=te,g=ie,_=ne,b=se,y=s||r;!this._isTextElement&&/[a-zA-Z0-9-_ ]/.test(h)&&this.showDropdown();var E=((t={})[m]=this._onAKey,t[p]=this._onEnterKey,t[f]=this._onEscapeKey,t[v]=this._onDirectionKey,t[_]=this._onDirectionKey,t[g]=this._onDirectionKey,t[b]=this._onDirectionKey,t[d]=this._onDeleteKey,t[u]=this._onDeleteKey,t);E[n]&&E[n]({event:e,target:i,keyCode:n,metaKey:r,activeItems:o,hasFocusedInput:a,hasActiveDropdown:c,hasItems:l,hasCtrlDownKeyPressed:y})},r._onKeyUp=function(e){var t=e.target,i=e.keyCode,n=this.input.value,s=this._store.activeItems,r=this._canAddItem(s,n),o=J,a=Y;if(this._isTextElement)if(r.notice&&n){var c=this._getTemplate(\"notice\",r.notice);this.dropdown.element.innerHTML=c.outerHTML,this.showDropdown(!0)}else this.hideDropdown(!0);else{var l=(i===o||i===a)&&!t.value,h=!this._isTextElement&&this._isSearching,u=this._canSearch&&r.response;l&&h?(this._isSearching=!1,this._store.dispatch(ve(!0))):u&&this._handleSearch(this.input.value)}this._canSearch=this.config.searchEnabled},r._onAKey=function(e){var t=e.hasItems;e.hasCtrlDownKeyPressed&&t&&(this._canSearch=!1,this.config.removeItems&&!this.input.value&&this.input.element===document.activeElement&&this.highlightAll())},r._onEnterKey=function(e){var t=e.event,i=e.target,n=e.activeItems,s=e.hasActiveDropdown,r=Z,o=i.hasAttribute(\"data-button\");if(this._isTextElement&&i.value){var a=this.input.value;this._canAddItem(n,a).response&&(this.hideDropdown(!0),this._addItem({value:a}),this._triggerChange(a),this.clearInput())}if(o&&(this._handleButtonAction(n,i),t.preventDefault()),s){var c=this.dropdown.getChild(\".\"+this.config.classNames.highlightedState);c&&(n[0]&&(n[0].keyCode=r),this._handleChoiceAction(n,c)),t.preventDefault()}else this._isSelectOneElement&&(this.showDropdown(),t.preventDefault())},r._onEscapeKey=function(e){e.hasActiveDropdown&&(this.hideDropdown(!0),this.containerOuter.focus())},r._onDirectionKey=function(e){var t,i,n,s=e.event,r=e.hasActiveDropdown,o=e.keyCode,a=e.metaKey,c=ie,l=ne,h=se;if(r||this._isSelectOneElement){this.showDropdown(),this._canSearch=!1;var u,d=o===c||o===h?1:-1;if(a||o===h||o===l)u=d>0?this.dropdown.element.querySelector(\"[data-choice-selectable]:last-of-type\"):this.dropdown.element.querySelector(\"[data-choice-selectable]\");else{var p=this.dropdown.element.querySelector(\".\"+this.config.classNames.highlightedState);u=p?function(e,t,i){if(void 0===i&&(i=1),e instanceof Element&&\"string\"==typeof t){for(var n=(i>0?\"next\":\"previous\")+\"ElementSibling\",s=e[n];s;){if(s.matches(t))return s;s=s[n]}return s}}(p,\"[data-choice-selectable]\",d):this.dropdown.element.querySelector(\"[data-choice-selectable]\")}u&&(t=u,i=this.choiceList.element,void 0===(n=d)&&(n=1),t&&(n>0?i.scrollTop+i.offsetHeight>=t.offsetTop+t.offsetHeight:t.offsetTop>=i.scrollTop)||this.choiceList.scrollToChildElement(u,d),this._highlightChoice(u)),s.preventDefault()}},r._onDeleteKey=function(e){var t=e.event,i=e.target,n=e.hasFocusedInput,s=e.activeItems;!n||i.value||this._isSelectOneElement||(this._handleBackspace(s),t.preventDefault())},r._onTouchMove=function(){this._wasTap&&(this._wasTap=!1)},r._onTouchEnd=function(e){var t=(e||e.touches[0]).target;this._wasTap&&this.containerOuter.element.contains(t)&&((t===this.containerOuter.element||t===this.containerInner.element)&&(this._isTextElement?this.input.focus():this._isSelectMultipleElement&&this.showDropdown()),e.stopPropagation()),this._wasTap=!0},r._onMouseDown=function(e){var t=e.target;if(t instanceof HTMLElement){if(Ee&&this.choiceList.element.contains(t)){var i=this.choiceList.element.firstElementChild,n=\"ltr\"===this._direction?e.offsetX>=i.offsetWidth:e.offsetX0&&this.unhighlightAll(),this.containerOuter.removeFocusState(),this.hideDropdown(!0))},r._onFocus=function(e){var t,i=this,n=e.target;this.containerOuter.element.contains(n)&&((t={}).text=function(){n===i.input.element&&i.containerOuter.addFocusState()},t[\"select-one\"]=function(){i.containerOuter.addFocusState(),n===i.input.element&&i.showDropdown(!0)},t[\"select-multiple\"]=function(){n===i.input.element&&(i.showDropdown(!0),i.containerOuter.addFocusState())},t)[this.passedElement.element.type]()},r._onBlur=function(e){var t=this,i=e.target;if(this.containerOuter.element.contains(i)&&!this._isScrollingOnIe){var n,s=this._store.activeItems.some((function(e){return e.highlighted}));((n={}).text=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),s&&t.unhighlightAll(),t.hideDropdown(!0))},n[\"select-one\"]=function(){t.containerOuter.removeFocusState(),(i===t.input.element||i===t.containerOuter.element&&!t._canSearch)&&t.hideDropdown(!0)},n[\"select-multiple\"]=function(){i===t.input.element&&(t.containerOuter.removeFocusState(),t.hideDropdown(!0),s&&t.unhighlightAll())},n)[this.passedElement.element.type]()}else this._isScrollingOnIe=!1,this.input.element.focus()},r._onFormReset=function(){this._store.dispatch({type:\"RESET_TO\",state:this._initialState})},r._highlightChoice=function(e){var t=this;void 0===e&&(e=null);var i=Array.from(this.dropdown.element.querySelectorAll(\"[data-choice-selectable]\"));if(i.length){var n=e;Array.from(this.dropdown.element.querySelectorAll(\".\"+this.config.classNames.highlightedState)).forEach((function(e){e.classList.remove(t.config.classNames.highlightedState),e.setAttribute(\"aria-selected\",\"false\")})),n?this._highlightPosition=i.indexOf(n):(n=i.length>this._highlightPosition?i[this._highlightPosition]:i[i.length-1])||(n=i[0]),n.classList.add(this.config.classNames.highlightedState),n.setAttribute(\"aria-selected\",\"true\"),this.passedElement.triggerEvent(B,{el:n}),this.dropdown.isActive&&(this.input.setActiveDescendant(n.id),this.containerOuter.setActiveDescendant(n.id))}},r._addItem=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.choiceId,r=void 0===s?-1:s,o=e.groupId,a=void 0===o?-1:o,c=e.customProperties,l=void 0===c?null:c,h=e.placeholder,u=void 0!==h&&h,d=e.keyCode,p=void 0===d?null:d,m=\"string\"==typeof t?t.trim():t,f=p,v=l,g=this._store.items,_=n||m,b=r||-1,y=a>=0?this._store.getGroupById(a):null,E=g?g.length+1:1;return this.config.prependValue&&(m=this.config.prependValue+m.toString()),this.config.appendValue&&(m+=this.config.appendValue.toString()),this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.choiceId,r=e.groupId,o=e.customProperties,a=e.placeholder,c=e.keyCode;return{type:W,value:t,label:i,id:n,choiceId:s,groupId:r,customProperties:o,placeholder:a,keyCode:c}}({value:m,label:_,id:E,choiceId:b,groupId:a,customProperties:l,placeholder:u,keyCode:f})),this._isSelectOneElement&&this.removeActiveItems(E),this.passedElement.triggerEvent(K,{id:E,value:m,label:_,customProperties:v,groupValue:y&&y.value?y.value:void 0,keyCode:f}),this},r._removeItem=function(e){if(!e||!E(\"Object\",e))return this;var t=e.id,i=e.value,n=e.label,s=e.choiceId,r=e.groupId,o=r>=0?this._store.getGroupById(r):null;return this._store.dispatch(function(e,t){return{type:X,id:e,choiceId:t}}(t,s)),o&&o.value?this.passedElement.triggerEvent(R,{id:t,value:i,label:n,groupValue:o.value}):this.passedElement.triggerEvent(R,{id:t,value:i,label:n}),this},r._addChoice=function(e){var t=e.value,i=e.label,n=void 0===i?null:i,s=e.isSelected,r=void 0!==s&&s,o=e.isDisabled,a=void 0!==o&&o,c=e.groupId,l=void 0===c?-1:c,h=e.customProperties,u=void 0===h?null:h,d=e.placeholder,p=void 0!==d&&d,m=e.keyCode,f=void 0===m?null:m;if(null!=t){var v=this._store.choices,g=n||t,_=v?v.length+1:1,b=this._baseId+\"-\"+this._idNames.itemChoice+\"-\"+_;this._store.dispatch(function(e){var t=e.value,i=e.label,n=e.id,s=e.groupId,r=e.disabled,o=e.elementId,a=e.customProperties,c=e.placeholder,l=e.keyCode;return{type:V,value:t,label:i,id:n,groupId:s,disabled:r,elementId:o,customProperties:a,placeholder:c,keyCode:l}}({id:_,groupId:l,elementId:b,value:t,label:g,disabled:a,customProperties:u,placeholder:p,keyCode:f})),r&&this._addItem({value:t,label:g,choiceId:_,customProperties:u,placeholder:p,keyCode:f})}},r._addGroup=function(e){var t=this,i=e.group,n=e.id,s=e.valueKey,r=void 0===s?\"value\":s,o=e.labelKey,a=void 0===o?\"label\":o,c=E(\"Object\",i)?i.choices:Array.from(i.getElementsByTagName(\"OPTION\")),l=n||Math.floor((new Date).valueOf()*Math.random()),h=!!i.disabled&&i.disabled;c?(this._store.dispatch(_e({value:i.label,id:l,active:!0,disabled:h})),c.forEach((function(e){var i=e.disabled||e.parentNode&&e.parentNode.disabled;t._addChoice({value:e[r],label:E(\"Object\",e)?e[a]:e.innerHTML,isSelected:e.selected,isDisabled:i,groupId:l,customProperties:e.customProperties,placeholder:e.placeholder})}))):this._store.dispatch(_e({value:i.label,id:i.id,active:!1,disabled:i.disabled}))},r._getTemplate=function(e){var t;if(!e)return null;for(var i=this.config.classNames,n=arguments.length,s=new Array(n>1?n-1:0),r=1;r{n.classes(o).toggle(s.bk_active,t===e)})}}e.RadioButtonGroupView=_,_.__name__=\"RadioButtonGroupView\";class c extends a.ButtonGroup{constructor(t){super(t)}static init_RadioButtonGroup(){this.prototype.default_view=_,this.define({active:[u.Any,null]})}}e.RadioButtonGroup=c,c.__name__=\"RadioButtonGroup\",c.init_RadioButtonGroup()},\n", - " 431: function _(e,i,t){Object.defineProperty(t,\"__esModule\",{value:!0});const n=e(1),a=e(68),s=e(24),o=n.__importStar(e(18)),d=e(405),l=e(146),p=e(400);class r extends d.InputGroupView{render(){super.render();const e=a.div({class:[p.bk_input_group,this.model.inline?l.bk_inline:null]});this.el.appendChild(e);const i=s.uniqueId(),{active:t,labels:n}=this.model;this._inputs=[];for(let s=0;sthis.change_active(s)),this._inputs.push(o),this.model.disabled&&(o.disabled=!0),s==t&&(o.checked=!0);const d=a.label({},o,a.span({},n[s]));e.appendChild(d)}}change_active(e){this.model.active=e}}t.RadioGroupView=r,r.__name__=\"RadioGroupView\";class u extends d.InputGroup{constructor(e){super(e)}static init_RadioGroup(){this.prototype.default_view=r,this.define({active:[o.Number],labels:[o.Array,[]],inline:[o.Boolean,!1]})}}t.RadioGroup=u,u.__name__=\"RadioGroup\",u.init_RadioGroup()},\n", - " 432: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),a=e(411),n=e(8);class o extends a.AbstractRangeSliderView{}r.RangeSliderView=o,o.__name__=\"RangeSliderView\";class s extends a.AbstractSlider{constructor(e){super(e),this.behaviour=\"drag\",this.connected=[!1,!0,!1]}static init_RangeSlider(){this.prototype.default_view=o,this.override({format:\"0[.]00\"})}_formatter(e,t){return n.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.RangeSlider=s,s.__name__=\"RangeSlider\",s.init_RangeSlider()},\n", - " 433: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(68),l=e(8),o=e(17),p=n.__importStar(e(18)),u=e(398),a=e(400);class _ extends u.InputWidgetView{connect_signals(){super.connect_signals();const{value:e,options:t}=this.model.properties;this.on_change(e,()=>{this._update_value()}),this.on_change(t,()=>{s.empty(this.input_el),s.append(this.input_el,...this.options_el())})}options_el(){function e(e){return e.map(e=>{let t,i;return l.isString(e)?t=i=e:[t,i]=e,s.option({value:t},i)})}const{options:t}=this.model;return l.isArray(t)?e(t):o.entries(t).map(([t,i])=>s.optgroup({label:t},e(i)))}render(){super.render(),this.input_el=s.select({class:a.bk_input,name:this.model.name,disabled:this.model.disabled},this.options_el()),this._update_value(),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){const e=this.input_el.value;this.model.value=e,super.change_input()}_update_value(){const{value:e}=this.model;null!=e&&0!=e.length&&(this.input_el.value=this.model.value)}}i.SelectView=_,_.__name__=\"SelectView\";class h extends u.InputWidget{constructor(e){super(e)}static init_Select(){this.prototype.default_view=_,this.define({value:[p.String,\"\"],options:[p.Any,[]]})}}i.Select=h,h.__name__=\"Select\",h.init_Select()},\n", - " 434: function _(e,t,r){Object.defineProperty(r,\"__esModule\",{value:!0});const i=e(1).__importStar(e(161)),o=e(411),s=e(8);class _ extends o.AbstractSliderView{}r.SliderView=_,_.__name__=\"SliderView\";class a extends o.AbstractSlider{constructor(e){super(e),this.behaviour=\"tap\",this.connected=[!0,!1]}static init_Slider(){this.prototype.default_view=_,this.override({format:\"0[.]00\"})}_formatter(e,t){return s.isString(t)?i.format(e,t):t.doFormat([e],{loc:0})[0]}}r.Slider=a,a.__name__=\"Slider\",a.init_Slider()},\n", - " 435: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const n=e(1),s=e(398),l=e(68),h=n.__importStar(e(18)),o=e(400),{floor:p,max:d,min:u}=Math;function r(e){return p(e)!==e?e.toFixed(16).replace(/0+$/,\"\").split(\".\")[1].length:0}class a extends s.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.low.change,()=>{const{low:e}=this.model;null!=e&&(this.input_el.min=e.toFixed(16))}),this.connect(this.model.properties.high.change,()=>{const{high:e}=this.model;null!=e&&(this.input_el.max=e.toFixed(16))}),this.connect(this.model.properties.step.change,()=>{const{step:e}=this.model;this.input_el.step=e.toFixed(16)}),this.connect(this.model.properties.value.change,()=>{const{value:e,step:t}=this.model;this.input_el.value=e.toFixed(r(t)).replace(/(\\.[0-9]*[1-9])0+$|\\.0*$/,\"$1\")}),this.connect(this.model.properties.disabled.change,()=>{this.input_el.disabled=this.model.disabled})}render(){super.render(),this.input_el=l.input({type:\"number\",class:o.bk_input,name:this.model.name,min:this.model.low,max:this.model.high,value:this.model.value,step:this.model.step,disabled:this.model.disabled}),this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){if(this.input_el.value){const{step:e}=this.model;let t=Number(this.input_el.value);null!=this.model.low&&(t=d(t,this.model.low)),null!=this.model.high&&(t=u(t,this.model.high)),this.model.value=Number(t.toFixed(r(e))),super.change_input()}}}i.SpinnerView=a,a.__name__=\"SpinnerView\";class c extends s.InputWidget{constructor(e){super(e)}static init_Spinner(){this.prototype.default_view=a,this.define({value:[h.Number,0],low:[h.Number,null],high:[h.Number,null],step:[h.Number,1]})}}i.Spinner=c,c.__name__=\"Spinner\",c.init_Spinner()},\n", - " 436: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),n=e(398),l=e(68),h=s.__importStar(e(18)),o=e(400);class a extends n.InputWidgetView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.name.change,()=>this.input_el.name=this.model.name||\"\"),this.connect(this.model.properties.value.change,()=>this.input_el.value=this.model.value),this.connect(this.model.properties.disabled.change,()=>this.input_el.disabled=this.model.disabled),this.connect(this.model.properties.placeholder.change,()=>this.input_el.placeholder=this.model.placeholder),this.connect(this.model.properties.rows.change,()=>this.input_el.rows=this.model.rows),this.connect(this.model.properties.cols.change,()=>this.input_el.cols=this.model.cols),this.connect(this.model.properties.max_length.change,()=>this.input_el.maxLength=this.model.max_length)}render(){super.render(),this.input_el=l.textarea({class:o.bk_input,name:this.model.name,disabled:this.model.disabled,placeholder:this.model.placeholder,cols:this.model.cols,rows:this.model.rows,maxLength:this.model.max_length}),this.input_el.textContent=this.model.value,this.input_el.addEventListener(\"change\",()=>this.change_input()),this.group_el.appendChild(this.input_el)}change_input(){this.model.value=this.input_el.value,super.change_input()}}i.TextAreaInputView=a,a.__name__=\"TextAreaInputView\";class p extends n.InputWidget{constructor(e){super(e)}static init_TextAreaInput(){this.prototype.default_view=a,this.define({value:[h.String,\"\"],value_input:[h.String,\"\"],placeholder:[h.String,\"\"],cols:[h.Number,20],rows:[h.Number,2],max_length:[h.Number,500]})}}i.TextAreaInput=p,p.__name__=\"TextAreaInput\",p.init_TextAreaInput()},\n", - " 437: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),c=e(392),o=e(68),a=s.__importStar(e(18)),n=e(146);class l extends c.AbstractButtonView{connect_signals(){super.connect_signals(),this.connect(this.model.properties.active.change,()=>this._update_active())}render(){super.render(),this._update_active()}click(){this.model.active=!this.model.active,super.click()}_update_active(){o.classes(this.button_el).toggle(n.bk_active,this.model.active)}}i.ToggleView=l,l.__name__=\"ToggleView\";class _ extends c.AbstractButton{constructor(e){super(e)}static init_Toggle(){this.prototype.default_view=l,this.define({active:[a.Boolean,!1]}),this.override({label:\"Toggle\"})}}i.Toggle=_,_.__name__=\"Toggle\",_.init_Toggle()},\n", - " }, 390, {\"models/widgets/main\":390,\"models/widgets/index\":391,\"models/widgets/abstract_button\":392,\"models/widgets/control\":393,\"models/widgets/widget\":458,\"models/widgets/abstract_icon\":395,\"models/widgets/autocomplete_input\":396,\"models/widgets/text_input\":397,\"models/widgets/input_widget\":398,\"styles/widgets/inputs.css\":399,\"styles/widgets/inputs\":400,\"models/widgets/button\":401,\"models/widgets/checkbox_button_group\":402,\"models/widgets/button_group\":403,\"models/widgets/checkbox_group\":404,\"models/widgets/input_group\":405,\"models/widgets/color_picker\":406,\"models/widgets/date_picker\":407,\"styles/widgets/flatpickr.css\":409,\"models/widgets/date_range_slider\":410,\"models/widgets/abstract_slider\":411,\"styles/widgets/sliders\":413,\"styles/widgets/nouislider.css\":414,\"styles/widgets/sliders.css\":415,\"models/widgets/date_slider\":416,\"models/widgets/div\":417,\"models/widgets/markup\":418,\"styles/clearfix\":419,\"styles/clearfix.css\":420,\"models/widgets/dropdown\":421,\"models/widgets/file_input\":422,\"models/widgets/multiselect\":423,\"models/widgets/paragraph\":424,\"models/widgets/password_input\":425,\"models/widgets/multichoice\":426,\"styles/widgets/choices.css\":428,\"models/widgets/pretext\":429,\"models/widgets/radio_button_group\":430,\"models/widgets/radio_group\":431,\"models/widgets/range_slider\":432,\"models/widgets/selectbox\":433,\"models/widgets/slider\":434,\"models/widgets/spinner\":435,\"models/widgets/textarea_input\":436,\"models/widgets/toggle\":437}, {});\n", - " })\n", - "\n", - "\n", - " /* END bokeh-widgets.min.js */\n", - " },\n", - " \n", - " function(Bokeh) {\n", - " /* BEGIN bokeh-tables.min.js */\n", - " /*!\n", - " * Copyright (c) 2012 - 2020, Anaconda, Inc., and Bokeh Contributors\n", - " * All rights reserved.\n", - " * \n", - " * Redistribution and use in source and binary forms, with or without modification,\n", - " * are permitted provided that the following conditions are met:\n", - " * \n", - " * Redistributions of source code must retain the above copyright notice,\n", - " * this list of conditions and the following disclaimer.\n", - " * \n", - " * Redistributions in binary form must reproduce the above copyright notice,\n", - " * this list of conditions and the following disclaimer in the documentation\n", - " * and/or other materials provided with the distribution.\n", - " * \n", - " * Neither the name of Anaconda nor the names of any contributors\n", - " * may be used to endorse or promote products derived from this software\n", - " * without specific prior written permission.\n", - " * \n", - " * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\n", - " * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\n", - " * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\n", - " * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\n", - " * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\n", - " * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\n", - " * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\n", - " * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\n", - " * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\n", - " * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\n", - " * THE POSSIBILITY OF SUCH DAMAGE.\n", - " */\n", - " (function(root, factory) {\n", - " factory(root[\"Bokeh\"], \"2.1.1\");\n", - " })(this, function(Bokeh, version) {\n", - " var define;\n", - " return (function(modules, entry, aliases, externals) {\n", - " const bokeh = typeof Bokeh !== \"undefined\" && (version != null ? Bokeh[version] : Bokeh);\n", - " if (bokeh != null) {\n", - " return bokeh.register_plugin(modules, entry, aliases);\n", - " } else {\n", - " throw new Error(\"Cannot find Bokeh \" + version + \". You have to load it prior to loading plugins.\");\n", - " }\n", - " })\n", - " ({\n", - " 438: function _(e,t,o){Object.defineProperty(o,\"__esModule\",{value:!0});const r=e(1).__importStar(e(439));o.Tables=r,e(7).register_models(r)},\n", - " 439: function _(a,g,r){Object.defineProperty(r,\"__esModule\",{value:!0});const e=a(1);e.__exportStar(a(440),r),e.__exportStar(a(462),r);var t=a(441);r.DataTable=t.DataTable;var o=a(465);r.TableColumn=o.TableColumn;var n=a(457);r.TableWidget=n.TableWidget;var u=a(466);r.AvgAggregator=u.AvgAggregator,r.MinAggregator=u.MinAggregator,r.MaxAggregator=u.MaxAggregator,r.SumAggregator=u.SumAggregator;var l=a(467);r.GroupingInfo=l.GroupingInfo,r.DataCube=l.DataCube},\n", - " 440: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1).__importStar(e(18)),r=e(68),a=e(66),n=e(71),l=e(441),u=e(459);class d extends a.DOMView{constructor(e){const{model:t,parent:i}=e.column;super(Object.assign({model:t,parent:i},e)),this.args=e,this.initialize(),this.render()}get emptyValue(){return null}initialize(){super.initialize(),this.inputEl=this._createInput(),this.defaultValue=null}async lazy_initialize(){throw new Error(\"unsupported\")}css_classes(){return super.css_classes().concat(u.bk_cell_editor)}render(){super.render(),this.args.container.append(this.el),this.el.appendChild(this.inputEl),this.renderEditor(),this.disableNavigation()}renderEditor(){}disableNavigation(){this.inputEl.addEventListener(\"keydown\",e=>{switch(e.keyCode){case r.Keys.Left:case r.Keys.Right:case r.Keys.Up:case r.Keys.Down:case r.Keys.PageUp:case r.Keys.PageDown:e.stopImmediatePropagation()}})}destroy(){this.remove()}focus(){this.inputEl.focus()}show(){}hide(){}position(){}getValue(){return this.inputEl.value}setValue(e){this.inputEl.value=e}serializeValue(){return this.getValue()}isValueChanged(){return!(\"\"==this.getValue()&&null==this.defaultValue)&&this.getValue()!==this.defaultValue}applyValue(e,t){const i=this.args.grid.getData(),s=i.index.indexOf(e[l.DTINDEX_NAME]);i.setField(s,this.args.column.field,t)}loadValue(e){const t=e[this.args.column.field];this.defaultValue=null!=t?t:this.emptyValue,this.setValue(this.defaultValue)}validateValue(e){if(this.args.column.validator){const t=this.args.column.validator(e);if(!t.valid)return t}return{valid:!0,msg:null}}validate(){return this.validateValue(this.getValue())}}i.CellEditorView=d,d.__name__=\"CellEditorView\";class o extends n.Model{}i.CellEditor=o,o.__name__=\"CellEditor\";class _ extends d{get emptyValue(){return\"\"}_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}}i.StringEditorView=_,_.__name__=\"StringEditorView\";class c extends o{static init_StringEditor(){this.prototype.default_view=_,this.define({completions:[s.Array,[]]})}}i.StringEditor=c,c.__name__=\"StringEditor\",c.init_StringEditor();class p extends d{_createInput(){return r.textarea()}}i.TextEditorView=p,p.__name__=\"TextEditorView\";class h extends o{static init_TextEditor(){this.prototype.default_view=p}}i.TextEditor=h,h.__name__=\"TextEditor\",h.init_TextEditor();class E extends d{_createInput(){return r.select()}renderEditor(){for(const e of this.model.options)this.inputEl.appendChild(r.option({value:e},e));this.focus()}}i.SelectEditorView=E,E.__name__=\"SelectEditorView\";class V extends o{static init_SelectEditor(){this.prototype.default_view=E,this.define({options:[s.Array,[]]})}}i.SelectEditor=V,V.__name__=\"SelectEditor\",V.init_SelectEditor();class m extends d{_createInput(){return r.input({type:\"text\"})}}i.PercentEditorView=m,m.__name__=\"PercentEditorView\";class f extends o{static init_PercentEditor(){this.prototype.default_view=m}}i.PercentEditor=f,f.__name__=\"PercentEditor\",f.init_PercentEditor();class x extends d{_createInput(){return r.input({type:\"checkbox\",value:\"true\"})}renderEditor(){this.focus()}loadValue(e){this.defaultValue=!!e[this.args.column.field],this.inputEl.checked=this.defaultValue}serializeValue(){return this.inputEl.checked}}i.CheckboxEditorView=x,x.__name__=\"CheckboxEditorView\";class w extends o{static init_CheckboxEditor(){this.prototype.default_view=x}}i.CheckboxEditor=w,w.__name__=\"CheckboxEditor\",w.init_CheckboxEditor();class g extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseInt(this.getValue(),10)||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid integer\"}:super.validateValue(e)}}i.IntEditorView=g,g.__name__=\"IntEditorView\";class v extends o{static init_IntEditor(){this.prototype.default_view=g,this.define({step:[s.Number,1]})}}i.IntEditor=v,v.__name__=\"IntEditor\",v.init_IntEditor();class y extends d{_createInput(){return r.input({type:\"text\"})}renderEditor(){this.inputEl.focus(),this.inputEl.select()}remove(){super.remove()}serializeValue(){return parseFloat(this.getValue())||0}loadValue(e){super.loadValue(e),this.inputEl.defaultValue=this.defaultValue,this.inputEl.select()}validateValue(e){return isNaN(e)?{valid:!1,msg:\"Please enter a valid number\"}:super.validateValue(e)}}i.NumberEditorView=y,y.__name__=\"NumberEditorView\";class b extends o{static init_NumberEditor(){this.prototype.default_view=y,this.define({step:[s.Number,.01]})}}i.NumberEditor=b,b.__name__=\"NumberEditor\",b.init_NumberEditor();class I extends d{_createInput(){return r.input({type:\"text\"})}}i.TimeEditorView=I,I.__name__=\"TimeEditorView\";class N extends o{static init_TimeEditor(){this.prototype.default_view=I}}i.TimeEditor=N,N.__name__=\"TimeEditor\",N.init_TimeEditor();class C extends d{_createInput(){return r.input({type:\"text\"})}get emptyValue(){return new Date}renderEditor(){this.inputEl.focus(),this.inputEl.select()}destroy(){super.destroy()}show(){super.show()}hide(){super.hide()}position(){return super.position()}getValue(){}setValue(e){}}i.DateEditorView=C,C.__name__=\"DateEditorView\";class D extends o{static init_DateEditor(){this.prototype.default_view=C}}i.DateEditor=D,D.__name__=\"DateEditor\",D.init_DateEditor()},\n", - " 441: function _(e,t,i){Object.defineProperty(i,\"__esModule\",{value:!0});const s=e(1),o=e(442),n=e(446),l=e(447),r=e(448),d=s.__importStar(e(18)),a=e(24),h=e(8),c=e(9),u=e(17),_=e(72),m=e(188),g=e(457),p=e(458),b=e(459),f=s.__importDefault(e(460)),w=s.__importDefault(e(461));i.DTINDEX_NAME=\"__bkdt_internal_index__\";class x{constructor(e,t){this.init(e,t)}init(e,t){if(i.DTINDEX_NAME in e.data)throw new Error(`special name ${i.DTINDEX_NAME} cannot be used as a data table column`);this.source=e,this.view=t,this.index=this.view.indices}getLength(){return this.index.length}getItem(e){const t={};for(const i of u.keys(this.source.data))t[i]=this.source.data[i][this.index[e]];return t[i.DTINDEX_NAME]=this.index[e],t}getField(e,t){return t==i.DTINDEX_NAME?this.index[e]:this.source.data[t][this.index[e]]}setField(e,t,i){const s=this.index[e];this.source.patch({[t]:[[s,i]]})}getItemMetadata(e){return null}getRecords(){return c.range(0,this.getLength()).map(e=>this.getItem(e))}sort(e){let t=e.map(e=>[e.sortCol.field,e.sortAsc?1:-1]);0==t.length&&(t=[[i.DTINDEX_NAME,1]]);const s=this.getRecords(),o=this.index.slice();this.index.sort((function(e,i){for(const[n,l]of t){const t=s[o.indexOf(e)][n],r=s[o.indexOf(i)][n],d=t==r?0:t>r?l:-l;if(0!=d)return d}return 0}))}}i.TableDataProvider=x,x.__name__=\"TableDataProvider\";class C extends p.WidgetView{constructor(){super(...arguments),this._in_selection_update=!1,this._warned_not_reorderable=!1}connect_signals(){super.connect_signals(),this.connect(this.model.change,()=>this.render()),this.connect(this.model.source.streaming,()=>this.updateGrid()),this.connect(this.model.source.patching,()=>this.updateGrid()),this.connect(this.model.source.change,()=>this.updateGrid()),this.connect(this.model.source.properties.data.change,()=>this.updateGrid()),this.connect(this.model.source.selected.change,()=>this.updateSelection()),this.connect(this.model.source.selected.properties.indices.change,()=>this.updateSelection())}remove(){var e;null===(e=this.grid)||void 0===e||e.destroy(),super.remove()}styles(){return[...super.styles(),f.default,w.default]}_update_layout(){this.layout=new m.LayoutItem,this.layout.set_sizing(this.box_sizing())}update_position(){super.update_position(),this.grid.resizeCanvas()}updateGrid(){if(this.model.view.compute_indices(),this.data.init(this.model.source,this.model.view),this.model.sortable){const e=this.grid.getColumns(),t=this.grid.getSortColumns().map(t=>({sortCol:{field:e[this.grid.getColumnIndex(t.columnId)].field},sortAsc:t.sortAsc}));this.data.sort(t)}this.grid.invalidate(),this.grid.render()}updateSelection(){if(this._in_selection_update)return;const{selected:e}=this.model.source,t=e.indices.map(e=>this.data.index.indexOf(e)).sort();this._in_selection_update=!0,this.grid.setSelectedRows(t),this._in_selection_update=!1;const i=this.grid.getViewport(),s=this.model.get_scroll_index(i,t);null!=s&&this.grid.scrollRowToTop(s)}newIndexColumn(){return{id:a.uniqueId(),name:this.model.index_header,field:i.DTINDEX_NAME,width:this.model.index_width,behavior:\"select\",cannotTriggerInsert:!0,resizable:!1,selectable:!1,sortable:!0,cssClass:b.bk_cell_index,headerCssClass:b.bk_header_index}}css_classes(){return super.css_classes().concat(b.bk_data_table)}render(){let e,t=this.model.columns.map(e=>Object.assign(Object.assign({},e.toColumn()),{parent:this}));if(\"checkbox\"==this.model.selectable&&(e=new n.CheckboxSelectColumn({cssClass:b.bk_cell_select}),t.unshift(e.getColumnDefinition())),null!=this.model.index_position){const e=this.model.index_position,i=this.newIndexColumn();-1==e?t.push(i):e<-1?t.splice(e+1,0,i):t.splice(e,0,i)}let{reorderable:i}=this.model;!i||\"undefined\"!=typeof $&&null!=$.fn&&null!=$.fn.sortable||(this._warned_not_reorderable||(_.logger.warn(\"jquery-ui is required to enable DataTable.reorderable\"),this._warned_not_reorderable=!0),i=!1);const s={enableCellNavigation:!1!==this.model.selectable,enableColumnReorder:i,forceFitColumns:this.model.fit_columns,multiColumnSort:this.model.sortable,editable:this.model.editable,autoEdit:!1,rowHeight:this.model.row_height};if(this.data=new x(this.model.source,this.model.view),this.grid=new r.Grid(this.el,this.data,t,s),this.grid.onSort.subscribe((e,i)=>{this.model.sortable&&(t=i.sortCols,this.data.sort(t),this.grid.invalidate(),this.updateSelection(),this.grid.render(),this.model.header_row||this._hide_header(),this.model.update_sort_columns(t))}),!1!==this.model.selectable){this.grid.setSelectionModel(new o.RowSelectionModel({selectActiveRow:null==e})),null!=e&&this.grid.registerPlugin(e);const t={dataItemColumnValueExtractor(e,t){let i=e[t.field];return h.isString(i)&&(i=i.replace(/\\n/g,\"\\\\n\")),i},includeHeaderWhenCopying:!1};this.grid.registerPlugin(new l.CellExternalCopyManager(t)),this.grid.onSelectedRowsChanged.subscribe((e,t)=>{this._in_selection_update||(this.model.source.selected.indices=t.rows.map(e=>this.data.index[e]))}),this.updateSelection(),this.model.header_row||this._hide_header()}}_hide_header(){for(const e of Array.from(this.el.querySelectorAll(\".slick-header-columns\")))e.style.height=\"0px\";this.grid.resizeCanvas()}}i.DataTableView=C,C.__name__=\"DataTableView\";class D extends g.TableWidget{constructor(e){super(e),this._sort_columns=[]}get sort_columns(){return this._sort_columns}static init_DataTable(){this.prototype.default_view=C,this.define({columns:[d.Array,[]],fit_columns:[d.Boolean,!0],sortable:[d.Boolean,!0],reorderable:[d.Boolean,!0],editable:[d.Boolean,!1],selectable:[d.Any,!0],index_position:[d.Int,0],index_header:[d.String,\"#\"],index_width:[d.Int,40],scroll_to_selection:[d.Boolean,!0],header_row:[d.Boolean,!0],row_height:[d.Int,25]}),this.override({width:600,height:400})}update_sort_columns(e){return this._sort_columns=e.map(e=>({field:e.sortCol.field,sortAsc:e.sortAsc})),null}get_scroll_index(e,t){return this.scroll_to_selection&&0!=t.length?c.some(t,t=>e.top<=t&&t<=e.bottom)?null:Math.max(0,Math.min(...t)-1):null}}i.DataTable=D,D.__name__=\"DataTable\",D.init_DataTable()},\n", - " 442: function _(e,t,n){var o=e(443),r=e(445);t.exports={RowSelectionModel:function(e){var t,n,l,i=[],c=this,u=new r.EventHandler,s={selectActiveRow:!0};function a(e){return function(){n||(n=!0,e.apply(this,arguments),n=!1)}}function f(e){for(var t=[],n=0;n=0&&l0&&t-1 in e)}b.fn=b.prototype={jquery:\"3.5.0\",constructor:b,length:0,toArray:function(){return i.call(this)},get:function(e){return null==e?i.call(this):e<0?this[e+this.length]:this[e]},pushStack:function(e){var t=b.merge(this.constructor(),e);return t.prevObject=this,t},each:function(e){return b.each(this,e)},map:function(e){return this.pushStack(b.map(this,(function(t,n){return e.call(t,n,t)})))},slice:function(){return this.pushStack(i.apply(this,arguments))},first:function(){return this.eq(0)},last:function(){return this.eq(-1)},even:function(){return this.pushStack(b.grep(this,(function(e,t){return(t+1)%2})))},odd:function(){return this.pushStack(b.grep(this,(function(e,t){return t%2})))},eq:function(e){var t=this.length,n=+e+(e<0?t:0);return this.pushStack(n>=0&&n+~]|\"+M+\")\"+M+\"*\"),U=new RegExp(M+\"|>\"),X=new RegExp(F),V=new RegExp(\"^\"+I+\"$\"),G={ID:new RegExp(\"^#(\"+I+\")\"),CLASS:new RegExp(\"^\\\\.(\"+I+\")\"),TAG:new RegExp(\"^(\"+I+\"|[*])\"),ATTR:new RegExp(\"^\"+W),PSEUDO:new RegExp(\"^\"+F),CHILD:new RegExp(\"^:(only|first|last|nth|nth-last)-(child|of-type)(?:\\\\(\"+M+\"*(even|odd|(([+-]|)(\\\\d*)n|)\"+M+\"*(?:([+-]|)\"+M+\"*(\\\\d+)|))\"+M+\"*\\\\)|)\",\"i\"),bool:new RegExp(\"^(?:\"+R+\")$\",\"i\"),needsContext:new RegExp(\"^\"+M+\"*[>+~]|:(even|odd|eq|gt|lt|nth|first|last)(?:\\\\(\"+M+\"*((?:-\\\\d)?\\\\d*)\"+M+\"*\\\\)|)(?=[^-]|$)\",\"i\")},Y=/HTML$/i,Q=/^(?:input|select|textarea|button)$/i,J=/^h\\d$/i,K=/^[^{]+\\{\\s*\\[native \\w/,Z=/^(?:#([\\w-]+)|(\\w+)|\\.([\\w-]+))$/,ee=/[+~]/,te=new RegExp(\"\\\\\\\\[\\\\da-fA-F]{1,6}\"+M+\"?|\\\\\\\\([^\\\\r\\\\n\\\\f])\",\"g\"),ne=function(e,t){var n=\"0x\"+e.slice(1)-65536;return t||(n<0?String.fromCharCode(n+65536):String.fromCharCode(n>>10|55296,1023&n|56320))},re=/([\\0-\\x1f\\x7f]|^-?\\d)|^-$|[^\\0-\\x1f\\x7f-\\uFFFF\\w-]/g,ie=function(e,t){return t?\"\\0\"===e?\"�\":e.slice(0,-1)+\"\\\\\"+e.charCodeAt(e.length-1).toString(16)+\" \":\"\\\\\"+e},oe=function(){p()},ae=be((function(e){return!0===e.disabled&&\"fieldset\"===e.nodeName.toLowerCase()}),{dir:\"parentNode\",next:\"legend\"});try{H.apply(j=O.call(w.childNodes),w.childNodes),j[w.childNodes.length].nodeType}catch(e){H={apply:j.length?function(e,t){L.apply(e,O.call(t))}:function(e,t){for(var n=e.length,r=0;e[n++]=t[r++];);e.length=n-1}}}function se(e,t,r,i){var o,s,l,c,f,h,y,m=t&&t.ownerDocument,w=t?t.nodeType:9;if(r=r||[],\"string\"!=typeof e||!e||1!==w&&9!==w&&11!==w)return r;if(!i&&(p(t),t=t||d,g)){if(11!==w&&(f=Z.exec(e)))if(o=f[1]){if(9===w){if(!(l=t.getElementById(o)))return r;if(l.id===o)return r.push(l),r}else if(m&&(l=m.getElementById(o))&&x(t,l)&&l.id===o)return r.push(l),r}else{if(f[2])return H.apply(r,t.getElementsByTagName(e)),r;if((o=f[3])&&n.getElementsByClassName&&t.getElementsByClassName)return H.apply(r,t.getElementsByClassName(o)),r}if(n.qsa&&!A[e+\" \"]&&(!v||!v.test(e))&&(1!==w||\"object\"!==t.nodeName.toLowerCase())){if(y=e,m=t,1===w&&(U.test(e)||z.test(e))){for((m=ee.test(e)&&ye(t.parentNode)||t)===t&&n.scope||((c=t.getAttribute(\"id\"))?c=c.replace(re,ie):t.setAttribute(\"id\",c=b)),s=(h=a(e)).length;s--;)h[s]=(c?\"#\"+c:\":scope\")+\" \"+xe(h[s]);y=h.join(\",\")}try{return H.apply(r,m.querySelectorAll(y)),r}catch(t){A(e,!0)}finally{c===b&&t.removeAttribute(\"id\")}}}return u(e.replace($,\"$1\"),t,r,i)}function ue(){var e=[];return function t(n,i){return e.push(n+\" \")>r.cacheLength&&delete t[e.shift()],t[n+\" \"]=i}}function le(e){return e[b]=!0,e}function ce(e){var t=d.createElement(\"fieldset\");try{return!!e(t)}catch(e){return!1}finally{t.parentNode&&t.parentNode.removeChild(t),t=null}}function fe(e,t){for(var n=e.split(\"|\"),i=n.length;i--;)r.attrHandle[n[i]]=t}function pe(e,t){var n=t&&e,r=n&&1===e.nodeType&&1===t.nodeType&&e.sourceIndex-t.sourceIndex;if(r)return r;if(n)for(;n=n.nextSibling;)if(n===t)return-1;return e?1:-1}function de(e){return function(t){return\"input\"===t.nodeName.toLowerCase()&&t.type===e}}function he(e){return function(t){var n=t.nodeName.toLowerCase();return(\"input\"===n||\"button\"===n)&&t.type===e}}function ge(e){return function(t){return\"form\"in t?t.parentNode&&!1===t.disabled?\"label\"in t?\"label\"in t.parentNode?t.parentNode.disabled===e:t.disabled===e:t.isDisabled===e||t.isDisabled!==!e&&ae(t)===e:t.disabled===e:\"label\"in t&&t.disabled===e}}function ve(e){return le((function(t){return t=+t,le((function(n,r){for(var i,o=e([],n.length,t),a=o.length;a--;)n[i=o[a]]&&(n[i]=!(r[i]=n[i]))}))}))}function ye(e){return e&&void 0!==e.getElementsByTagName&&e}for(t in n=se.support={},o=se.isXML=function(e){var t=e.namespaceURI,n=(e.ownerDocument||e).documentElement;return!Y.test(t||n&&n.nodeName||\"HTML\")},p=se.setDocument=function(e){var t,i,a=e?e.ownerDocument||e:w;return a!=d&&9===a.nodeType&&a.documentElement?(h=(d=a).documentElement,g=!o(d),w!=d&&(i=d.defaultView)&&i.top!==i&&(i.addEventListener?i.addEventListener(\"unload\",oe,!1):i.attachEvent&&i.attachEvent(\"onunload\",oe)),n.scope=ce((function(e){return h.appendChild(e).appendChild(d.createElement(\"div\")),void 0!==e.querySelectorAll&&!e.querySelectorAll(\":scope fieldset div\").length})),n.attributes=ce((function(e){return e.className=\"i\",!e.getAttribute(\"className\")})),n.getElementsByTagName=ce((function(e){return e.appendChild(d.createComment(\"\")),!e.getElementsByTagName(\"*\").length})),n.getElementsByClassName=K.test(d.getElementsByClassName),n.getById=ce((function(e){return h.appendChild(e).id=b,!d.getElementsByName||!d.getElementsByName(b).length})),n.getById?(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){return e.getAttribute(\"id\")===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n=t.getElementById(e);return n?[n]:[]}}):(r.filter.ID=function(e){var t=e.replace(te,ne);return function(e){var n=void 0!==e.getAttributeNode&&e.getAttributeNode(\"id\");return n&&n.value===t}},r.find.ID=function(e,t){if(void 0!==t.getElementById&&g){var n,r,i,o=t.getElementById(e);if(o){if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o];for(i=t.getElementsByName(e),r=0;o=i[r++];)if((n=o.getAttributeNode(\"id\"))&&n.value===e)return[o]}return[]}}),r.find.TAG=n.getElementsByTagName?function(e,t){return void 0!==t.getElementsByTagName?t.getElementsByTagName(e):n.qsa?t.querySelectorAll(e):void 0}:function(e,t){var n,r=[],i=0,o=t.getElementsByTagName(e);if(\"*\"===e){for(;n=o[i++];)1===n.nodeType&&r.push(n);return r}return o},r.find.CLASS=n.getElementsByClassName&&function(e,t){if(void 0!==t.getElementsByClassName&&g)return t.getElementsByClassName(e)},y=[],v=[],(n.qsa=K.test(d.querySelectorAll))&&(ce((function(e){var t;h.appendChild(e).innerHTML=\"\",e.querySelectorAll(\"[msallowcapture^='']\").length&&v.push(\"[*^$]=\"+M+\"*(?:''|\\\"\\\")\"),e.querySelectorAll(\"[selected]\").length||v.push(\"\\\\[\"+M+\"*(?:value|\"+R+\")\"),e.querySelectorAll(\"[id~=\"+b+\"-]\").length||v.push(\"~=\"),(t=d.createElement(\"input\")).setAttribute(\"name\",\"\"),e.appendChild(t),e.querySelectorAll(\"[name='']\").length||v.push(\"\\\\[\"+M+\"*name\"+M+\"*=\"+M+\"*(?:''|\\\"\\\")\"),e.querySelectorAll(\":checked\").length||v.push(\":checked\"),e.querySelectorAll(\"a#\"+b+\"+*\").length||v.push(\".#.+[+~]\"),e.querySelectorAll(\"\\\\\\f\"),v.push(\"[\\\\r\\\\n\\\\f]\")})),ce((function(e){e.innerHTML=\"\";var t=d.createElement(\"input\");t.setAttribute(\"type\",\"hidden\"),e.appendChild(t).setAttribute(\"name\",\"D\"),e.querySelectorAll(\"[name=d]\").length&&v.push(\"name\"+M+\"*[*^$|!~]?=\"),2!==e.querySelectorAll(\":enabled\").length&&v.push(\":enabled\",\":disabled\"),h.appendChild(e).disabled=!0,2!==e.querySelectorAll(\":disabled\").length&&v.push(\":enabled\",\":disabled\"),e.querySelectorAll(\"*,:x\"),v.push(\",.*:\")}))),(n.matchesSelector=K.test(m=h.matches||h.webkitMatchesSelector||h.mozMatchesSelector||h.oMatchesSelector||h.msMatchesSelector))&&ce((function(e){n.disconnectedMatch=m.call(e,\"*\"),m.call(e,\"[s!='']:x\"),y.push(\"!=\",F)})),v=v.length&&new RegExp(v.join(\"|\")),y=y.length&&new RegExp(y.join(\"|\")),t=K.test(h.compareDocumentPosition),x=t||K.test(h.contains)?function(e,t){var n=9===e.nodeType?e.documentElement:e,r=t&&t.parentNode;return e===r||!(!r||1!==r.nodeType||!(n.contains?n.contains(r):e.compareDocumentPosition&&16&e.compareDocumentPosition(r)))}:function(e,t){if(t)for(;t=t.parentNode;)if(t===e)return!0;return!1},N=t?function(e,t){if(e===t)return f=!0,0;var r=!e.compareDocumentPosition-!t.compareDocumentPosition;return r||(1&(r=(e.ownerDocument||e)==(t.ownerDocument||t)?e.compareDocumentPosition(t):1)||!n.sortDetached&&t.compareDocumentPosition(e)===r?e==d||e.ownerDocument==w&&x(w,e)?-1:t==d||t.ownerDocument==w&&x(w,t)?1:c?P(c,e)-P(c,t):0:4&r?-1:1)}:function(e,t){if(e===t)return f=!0,0;var n,r=0,i=e.parentNode,o=t.parentNode,a=[e],s=[t];if(!i||!o)return e==d?-1:t==d?1:i?-1:o?1:c?P(c,e)-P(c,t):0;if(i===o)return pe(e,t);for(n=e;n=n.parentNode;)a.unshift(n);for(n=t;n=n.parentNode;)s.unshift(n);for(;a[r]===s[r];)r++;return r?pe(a[r],s[r]):a[r]==w?-1:s[r]==w?1:0},d):d},se.matches=function(e,t){return se(e,null,null,t)},se.matchesSelector=function(e,t){if(p(e),n.matchesSelector&&g&&!A[t+\" \"]&&(!y||!y.test(t))&&(!v||!v.test(t)))try{var r=m.call(e,t);if(r||n.disconnectedMatch||e.document&&11!==e.document.nodeType)return r}catch(e){A(t,!0)}return se(t,d,null,[e]).length>0},se.contains=function(e,t){return(e.ownerDocument||e)!=d&&p(e),x(e,t)},se.attr=function(e,t){(e.ownerDocument||e)!=d&&p(e);var i=r.attrHandle[t.toLowerCase()],o=i&&D.call(r.attrHandle,t.toLowerCase())?i(e,t,!g):void 0;return void 0!==o?o:n.attributes||!g?e.getAttribute(t):(o=e.getAttributeNode(t))&&o.specified?o.value:null},se.escape=function(e){return(e+\"\").replace(re,ie)},se.error=function(e){throw new Error(\"Syntax error, unrecognized expression: \"+e)},se.uniqueSort=function(e){var t,r=[],i=0,o=0;if(f=!n.detectDuplicates,c=!n.sortStable&&e.slice(0),e.sort(N),f){for(;t=e[o++];)t===e[o]&&(i=r.push(o));for(;i--;)e.splice(r[i],1)}return c=null,e},i=se.getText=function(e){var t,n=\"\",r=0,o=e.nodeType;if(o){if(1===o||9===o||11===o){if(\"string\"==typeof e.textContent)return e.textContent;for(e=e.firstChild;e;e=e.nextSibling)n+=i(e)}else if(3===o||4===o)return e.nodeValue}else for(;t=e[r++];)n+=i(t);return n},(r=se.selectors={cacheLength:50,createPseudo:le,match:G,attrHandle:{},find:{},relative:{\">\":{dir:\"parentNode\",first:!0},\" \":{dir:\"parentNode\"},\"+\":{dir:\"previousSibling\",first:!0},\"~\":{dir:\"previousSibling\"}},preFilter:{ATTR:function(e){return e[1]=e[1].replace(te,ne),e[3]=(e[3]||e[4]||e[5]||\"\").replace(te,ne),\"~=\"===e[2]&&(e[3]=\" \"+e[3]+\" \"),e.slice(0,4)},CHILD:function(e){return e[1]=e[1].toLowerCase(),\"nth\"===e[1].slice(0,3)?(e[3]||se.error(e[0]),e[4]=+(e[4]?e[5]+(e[6]||1):2*(\"even\"===e[3]||\"odd\"===e[3])),e[5]=+(e[7]+e[8]||\"odd\"===e[3])):e[3]&&se.error(e[0]),e},PSEUDO:function(e){var t,n=!e[6]&&e[2];return G.CHILD.test(e[0])?null:(e[3]?e[2]=e[4]||e[5]||\"\":n&&X.test(n)&&(t=a(n,!0))&&(t=n.indexOf(\")\",n.length-t)-n.length)&&(e[0]=e[0].slice(0,t),e[2]=n.slice(0,t)),e.slice(0,3))}},filter:{TAG:function(e){var t=e.replace(te,ne).toLowerCase();return\"*\"===e?function(){return!0}:function(e){return e.nodeName&&e.nodeName.toLowerCase()===t}},CLASS:function(e){var t=E[e+\" \"];return t||(t=new RegExp(\"(^|\"+M+\")\"+e+\"(\"+M+\"|$)\"))&&E(e,(function(e){return t.test(\"string\"==typeof e.className&&e.className||void 0!==e.getAttribute&&e.getAttribute(\"class\")||\"\")}))},ATTR:function(e,t,n){return function(r){var i=se.attr(r,e);return null==i?\"!=\"===t:!t||(i+=\"\",\"=\"===t?i===n:\"!=\"===t?i!==n:\"^=\"===t?n&&0===i.indexOf(n):\"*=\"===t?n&&i.indexOf(n)>-1:\"$=\"===t?n&&i.slice(-n.length)===n:\"~=\"===t?(\" \"+i.replace(B,\" \")+\" \").indexOf(n)>-1:\"|=\"===t&&(i===n||i.slice(0,n.length+1)===n+\"-\"))}},CHILD:function(e,t,n,r,i){var o=\"nth\"!==e.slice(0,3),a=\"last\"!==e.slice(-4),s=\"of-type\"===t;return 1===r&&0===i?function(e){return!!e.parentNode}:function(t,n,u){var l,c,f,p,d,h,g=o!==a?\"nextSibling\":\"previousSibling\",v=t.parentNode,y=s&&t.nodeName.toLowerCase(),m=!u&&!s,x=!1;if(v){if(o){for(;g;){for(p=t;p=p[g];)if(s?p.nodeName.toLowerCase()===y:1===p.nodeType)return!1;h=g=\"only\"===e&&!h&&\"nextSibling\"}return!0}if(h=[a?v.firstChild:v.lastChild],a&&m){for(x=(d=(l=(c=(f=(p=v)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1])&&l[2],p=d&&v.childNodes[d];p=++d&&p&&p[g]||(x=d=0)||h.pop();)if(1===p.nodeType&&++x&&p===t){c[e]=[T,d,x];break}}else if(m&&(x=d=(l=(c=(f=(p=t)[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]||[])[0]===T&&l[1]),!1===x)for(;(p=++d&&p&&p[g]||(x=d=0)||h.pop())&&((s?p.nodeName.toLowerCase()!==y:1!==p.nodeType)||!++x||(m&&((c=(f=p[b]||(p[b]={}))[p.uniqueID]||(f[p.uniqueID]={}))[e]=[T,x]),p!==t)););return(x-=i)===r||x%r==0&&x/r>=0}}},PSEUDO:function(e,t){var n,i=r.pseudos[e]||r.setFilters[e.toLowerCase()]||se.error(\"unsupported pseudo: \"+e);return i[b]?i(t):i.length>1?(n=[e,e,\"\",t],r.setFilters.hasOwnProperty(e.toLowerCase())?le((function(e,n){for(var r,o=i(e,t),a=o.length;a--;)e[r=P(e,o[a])]=!(n[r]=o[a])})):function(e){return i(e,0,n)}):i}},pseudos:{not:le((function(e){var t=[],n=[],r=s(e.replace($,\"$1\"));return r[b]?le((function(e,t,n,i){for(var o,a=r(e,null,i,[]),s=e.length;s--;)(o=a[s])&&(e[s]=!(t[s]=o))})):function(e,i,o){return t[0]=e,r(t,null,o,n),t[0]=null,!n.pop()}})),has:le((function(e){return function(t){return se(e,t).length>0}})),contains:le((function(e){return e=e.replace(te,ne),function(t){return(t.textContent||i(t)).indexOf(e)>-1}})),lang:le((function(e){return V.test(e||\"\")||se.error(\"unsupported lang: \"+e),e=e.replace(te,ne).toLowerCase(),function(t){var n;do{if(n=g?t.lang:t.getAttribute(\"xml:lang\")||t.getAttribute(\"lang\"))return(n=n.toLowerCase())===e||0===n.indexOf(e+\"-\")}while((t=t.parentNode)&&1===t.nodeType);return!1}})),target:function(t){var n=e.location&&e.location.hash;return n&&n.slice(1)===t.id},root:function(e){return e===h},focus:function(e){return e===d.activeElement&&(!d.hasFocus||d.hasFocus())&&!!(e.type||e.href||~e.tabIndex)},enabled:ge(!1),disabled:ge(!0),checked:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&!!e.checked||\"option\"===t&&!!e.selected},selected:function(e){return e.parentNode&&e.parentNode.selectedIndex,!0===e.selected},empty:function(e){for(e=e.firstChild;e;e=e.nextSibling)if(e.nodeType<6)return!1;return!0},parent:function(e){return!r.pseudos.empty(e)},header:function(e){return J.test(e.nodeName)},input:function(e){return Q.test(e.nodeName)},button:function(e){var t=e.nodeName.toLowerCase();return\"input\"===t&&\"button\"===e.type||\"button\"===t},text:function(e){var t;return\"input\"===e.nodeName.toLowerCase()&&\"text\"===e.type&&(null==(t=e.getAttribute(\"type\"))||\"text\"===t.toLowerCase())},first:ve((function(){return[0]})),last:ve((function(e,t){return[t-1]})),eq:ve((function(e,t,n){return[n<0?n+t:n]})),even:ve((function(e,t){for(var n=0;nt?t:n;--r>=0;)e.push(r);return e})),gt:ve((function(e,t,n){for(var r=n<0?n+t:n;++r1?function(t,n,r){for(var i=e.length;i--;)if(!e[i](t,n,r))return!1;return!0}:e[0]}function Te(e,t,n,r,i){for(var o,a=[],s=0,u=e.length,l=null!=t;s-1&&(o[l]=!(a[l]=f))}}else y=Te(y===a?y.splice(h,y.length):y),i?i(null,a,y,u):H.apply(a,y)}))}function Ee(e){for(var t,n,i,o=e.length,a=r.relative[e[0].type],s=a||r.relative[\" \"],u=a?1:0,c=be((function(e){return e===t}),s,!0),f=be((function(e){return P(t,e)>-1}),s,!0),p=[function(e,n,r){var i=!a&&(r||n!==l)||((t=n).nodeType?c(e,n,r):f(e,n,r));return t=null,i}];u1&&we(p),u>1&&xe(e.slice(0,u-1).concat({value:\" \"===e[u-2].type?\"*\":\"\"})).replace($,\"$1\"),n,u0,i=e.length>0,o=function(o,a,s,u,c){var f,h,v,y=0,m=\"0\",x=o&&[],b=[],w=l,C=o||i&&r.find.TAG(\"*\",c),E=T+=null==w?1:Math.random()||.1,S=C.length;for(c&&(l=a==d||a||c);m!==S&&null!=(f=C[m]);m++){if(i&&f){for(h=0,a||f.ownerDocument==d||(p(f),s=!g);v=e[h++];)if(v(f,a||d,s)){u.push(f);break}c&&(T=E)}n&&((f=!v&&f)&&y--,o&&x.push(f))}if(y+=m,n&&m!==y){for(h=0;v=t[h++];)v(x,b,a,s);if(o){if(y>0)for(;m--;)x[m]||b[m]||(b[m]=q.call(u));b=Te(b)}H.apply(u,b),c&&!o&&b.length>0&&y+t.length>1&&se.uniqueSort(u)}return c&&(T=E,l=w),x};return n?le(o):o}(o,i))).selector=e}return s},u=se.select=function(e,t,n,i){var o,u,l,c,f,p=\"function\"==typeof e&&e,d=!i&&a(e=p.selector||e);if(n=n||[],1===d.length){if((u=d[0]=d[0].slice(0)).length>2&&\"ID\"===(l=u[0]).type&&9===t.nodeType&&g&&r.relative[u[1].type]){if(!(t=(r.find.ID(l.matches[0].replace(te,ne),t)||[])[0]))return n;p&&(t=t.parentNode),e=e.slice(u.shift().value.length)}for(o=G.needsContext.test(e)?0:u.length;o--&&(l=u[o],!r.relative[c=l.type]);)if((f=r.find[c])&&(i=f(l.matches[0].replace(te,ne),ee.test(u[0].type)&&ye(t.parentNode)||t))){if(u.splice(o,1),!(e=i.length&&xe(u)))return H.apply(n,i),n;break}}return(p||s(e,d))(i,t,!g,n,!t||ee.test(e)&&ye(t.parentNode)||t),n},n.sortStable=b.split(\"\").sort(N).join(\"\")===b,n.detectDuplicates=!!f,p(),n.sortDetached=ce((function(e){return 1&e.compareDocumentPosition(d.createElement(\"fieldset\"))})),ce((function(e){return e.innerHTML=\"\",\"#\"===e.firstChild.getAttribute(\"href\")}))||fe(\"type|href|height|width\",(function(e,t,n){if(!n)return e.getAttribute(t,\"type\"===t.toLowerCase()?1:2)})),n.attributes&&ce((function(e){return e.innerHTML=\"\",e.firstChild.setAttribute(\"value\",\"\"),\"\"===e.firstChild.getAttribute(\"value\")}))||fe(\"value\",(function(e,t,n){if(!n&&\"input\"===e.nodeName.toLowerCase())return e.defaultValue})),ce((function(e){return null==e.getAttribute(\"disabled\")}))||fe(R,(function(e,t,n){var r;if(!n)return!0===e[t]?t.toLowerCase():(r=e.getAttributeNode(t))&&r.specified?r.value:null})),se}(e);b.find=T,b.expr=T.selectors,b.expr[\":\"]=b.expr.pseudos,b.uniqueSort=b.unique=T.uniqueSort,b.text=T.getText,b.isXMLDoc=T.isXML,b.contains=T.contains,b.escapeSelector=T.escape;var C=function(e,t,n){for(var r=[],i=void 0!==n;(e=e[t])&&9!==e.nodeType;)if(1===e.nodeType){if(i&&b(e).is(n))break;r.push(e)}return r},E=function(e,t){for(var n=[];e;e=e.nextSibling)1===e.nodeType&&e!==t&&n.push(e);return n},S=b.expr.match.needsContext;function k(e,t){return e.nodeName&&e.nodeName.toLowerCase()===t.toLowerCase()}var A=/^<([a-z][^\\/\\0>:\\x20\\t\\r\\n\\f]*)[\\x20\\t\\r\\n\\f]*\\/?>(?:<\\/\\1>|)$/i;function N(e,t,n){return h(t)?b.grep(e,(function(e,r){return!!t.call(e,r,e)!==n})):t.nodeType?b.grep(e,(function(e){return e===t!==n})):\"string\"!=typeof t?b.grep(e,(function(e){return s.call(t,e)>-1!==n})):b.filter(t,e,n)}b.filter=function(e,t,n){var r=t[0];return n&&(e=\":not(\"+e+\")\"),1===t.length&&1===r.nodeType?b.find.matchesSelector(r,e)?[r]:[]:b.find.matches(e,b.grep(t,(function(e){return 1===e.nodeType})))},b.fn.extend({find:function(e){var t,n,r=this.length,i=this;if(\"string\"!=typeof e)return this.pushStack(b(e).filter((function(){for(t=0;t1?b.uniqueSort(n):n},filter:function(e){return this.pushStack(N(this,e||[],!1))},not:function(e){return this.pushStack(N(this,e||[],!0))},is:function(e){return!!N(this,\"string\"==typeof e&&S.test(e)?b(e):e||[],!1).length}});var D,j=/^(?:\\s*(<[\\w\\W]+>)[^>]*|#([\\w-]+))$/;(b.fn.init=function(e,t,n){var r,i;if(!e)return this;if(n=n||D,\"string\"==typeof e){if(!(r=\"<\"===e[0]&&\">\"===e[e.length-1]&&e.length>=3?[null,e,null]:j.exec(e))||!r[1]&&t)return!t||t.jquery?(t||n).find(e):this.constructor(t).find(e);if(r[1]){if(t=t instanceof b?t[0]:t,b.merge(this,b.parseHTML(r[1],t&&t.nodeType?t.ownerDocument||t:v,!0)),A.test(r[1])&&b.isPlainObject(t))for(r in t)h(this[r])?this[r](t[r]):this.attr(r,t[r]);return this}return(i=v.getElementById(r[2]))&&(this[0]=i,this.length=1),this}return e.nodeType?(this[0]=e,this.length=1,this):h(e)?void 0!==n.ready?n.ready(e):e(b):b.makeArray(e,this)}).prototype=b.fn,D=b(v);var q=/^(?:parents|prev(?:Until|All))/,L={children:!0,contents:!0,next:!0,prev:!0};function H(e,t){for(;(e=e[t])&&1!==e.nodeType;);return e}b.fn.extend({has:function(e){var t=b(e,this),n=t.length;return this.filter((function(){for(var e=0;e-1:1===n.nodeType&&b.find.matchesSelector(n,e))){o.push(n);break}return this.pushStack(o.length>1?b.uniqueSort(o):o)},index:function(e){return e?\"string\"==typeof e?s.call(b(e),this[0]):s.call(this,e.jquery?e[0]:e):this[0]&&this[0].parentNode?this.first().prevAll().length:-1},add:function(e,t){return this.pushStack(b.uniqueSort(b.merge(this.get(),b(e,t))))},addBack:function(e){return this.add(null==e?this.prevObject:this.prevObject.filter(e))}}),b.each({parent:function(e){var t=e.parentNode;return t&&11!==t.nodeType?t:null},parents:function(e){return C(e,\"parentNode\")},parentsUntil:function(e,t,n){return C(e,\"parentNode\",n)},next:function(e){return H(e,\"nextSibling\")},prev:function(e){return H(e,\"previousSibling\")},nextAll:function(e){return C(e,\"nextSibling\")},prevAll:function(e){return C(e,\"previousSibling\")},nextUntil:function(e,t,n){return C(e,\"nextSibling\",n)},prevUntil:function(e,t,n){return C(e,\"previousSibling\",n)},siblings:function(e){return E((e.parentNode||{}).firstChild,e)},children:function(e){return E(e.firstChild)},contents:function(e){return null!=e.contentDocument&&r(e.contentDocument)?e.contentDocument:(k(e,\"template\")&&(e=e.content||e),b.merge([],e.childNodes))}},(function(e,t){b.fn[e]=function(n,r){var i=b.map(this,t,n);return\"Until\"!==e.slice(-5)&&(r=n),r&&\"string\"==typeof r&&(i=b.filter(r,i)),this.length>1&&(L[e]||b.uniqueSort(i),q.test(e)&&i.reverse()),this.pushStack(i)}}));var O=/[^\\x20\\t\\r\\n\\f]+/g;function P(e){return e}function R(e){throw e}function M(e,t,n,r){var i;try{e&&h(i=e.promise)?i.call(e).done(t).fail(n):e&&h(i=e.then)?i.call(e,t,n):t.apply(void 0,[e].slice(r))}catch(e){n.apply(void 0,[e])}}b.Callbacks=function(e){e=\"string\"==typeof e?function(e){var t={};return b.each(e.match(O)||[],(function(e,n){t[n]=!0})),t}(e):b.extend({},e);var t,n,r,i,o=[],a=[],s=-1,u=function(){for(i=i||e.once,r=t=!0;a.length;s=-1)for(n=a.shift();++s-1;)o.splice(n,1),n<=s&&s--})),this},has:function(e){return e?b.inArray(e,o)>-1:o.length>0},empty:function(){return o&&(o=[]),this},disable:function(){return i=a=[],o=n=\"\",this},disabled:function(){return!o},lock:function(){return i=a=[],n||t||(o=n=\"\"),this},locked:function(){return!!i},fireWith:function(e,n){return i||(n=[e,(n=n||[]).slice?n.slice():n],a.push(n),t||u()),this},fire:function(){return l.fireWith(this,arguments),this},fired:function(){return!!r}};return l},b.extend({Deferred:function(t){var n=[[\"notify\",\"progress\",b.Callbacks(\"memory\"),b.Callbacks(\"memory\"),2],[\"resolve\",\"done\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),0,\"resolved\"],[\"reject\",\"fail\",b.Callbacks(\"once memory\"),b.Callbacks(\"once memory\"),1,\"rejected\"]],r=\"pending\",i={state:function(){return r},always:function(){return o.done(arguments).fail(arguments),this},catch:function(e){return i.then(null,e)},pipe:function(){var e=arguments;return b.Deferred((function(t){b.each(n,(function(n,r){var i=h(e[r[4]])&&e[r[4]];o[r[1]]((function(){var e=i&&i.apply(this,arguments);e&&h(e.promise)?e.promise().progress(t.notify).done(t.resolve).fail(t.reject):t[r[0]+\"With\"](this,i?[e]:arguments)}))})),e=null})).promise()},then:function(t,r,i){var o=0;function a(t,n,r,i){return function(){var s=this,u=arguments,l=function(){var e,l;if(!(t=o&&(r!==R&&(s=void 0,u=[e]),n.rejectWith(s,u))}};t?c():(b.Deferred.getStackHook&&(c.stackTrace=b.Deferred.getStackHook()),e.setTimeout(c))}}return b.Deferred((function(e){n[0][3].add(a(0,e,h(i)?i:P,e.notifyWith)),n[1][3].add(a(0,e,h(t)?t:P)),n[2][3].add(a(0,e,h(r)?r:R))})).promise()},promise:function(e){return null!=e?b.extend(e,i):i}},o={};return b.each(n,(function(e,t){var a=t[2],s=t[5];i[t[1]]=a.add,s&&a.add((function(){r=s}),n[3-e][2].disable,n[3-e][3].disable,n[0][2].lock,n[0][3].lock),a.add(t[3].fire),o[t[0]]=function(){return o[t[0]+\"With\"](this===o?void 0:this,arguments),this},o[t[0]+\"With\"]=a.fireWith})),i.promise(o),t&&t.call(o,o),o},when:function(e){var t=arguments.length,n=t,r=Array(n),o=i.call(arguments),a=b.Deferred(),s=function(e){return function(n){r[e]=this,o[e]=arguments.length>1?i.call(arguments):n,--t||a.resolveWith(r,o)}};if(t<=1&&(M(e,a.done(s(n)).resolve,a.reject,!t),\"pending\"===a.state()||h(o[n]&&o[n].then)))return a.then();for(;n--;)M(o[n],s(n),a.reject);return a.promise()}});var I=/^(Eval|Internal|Range|Reference|Syntax|Type|URI)Error$/;b.Deferred.exceptionHook=function(t,n){e.console&&e.console.warn&&t&&I.test(t.name)&&e.console.warn(\"jQuery.Deferred exception: \"+t.message,t.stack,n)},b.readyException=function(t){e.setTimeout((function(){throw t}))};var W=b.Deferred();function F(){v.removeEventListener(\"DOMContentLoaded\",F),e.removeEventListener(\"load\",F),b.ready()}b.fn.ready=function(e){return W.then(e).catch((function(e){b.readyException(e)})),this},b.extend({isReady:!1,readyWait:1,ready:function(e){(!0===e?--b.readyWait:b.isReady)||(b.isReady=!0,!0!==e&&--b.readyWait>0||W.resolveWith(v,[b]))}}),b.ready.then=W.then,\"complete\"===v.readyState||\"loading\"!==v.readyState&&!v.documentElement.doScroll?e.setTimeout(b.ready):(v.addEventListener(\"DOMContentLoaded\",F),e.addEventListener(\"load\",F));var B=function(e,t,n,r,i,o,a){var s=0,u=e.length,l=null==n;if(\"object\"===x(n))for(s in i=!0,n)B(e,t,s,n[s],!0,o,a);else if(void 0!==r&&(i=!0,h(r)||(a=!0),l&&(a?(t.call(e,r),t=null):(l=t,t=function(e,t,n){return l.call(b(e),n)})),t))for(;s1,null,!0)},removeData:function(e){return this.each((function(){Y.remove(this,e)}))}}),b.extend({queue:function(e,t,n){var r;if(e)return t=(t||\"fx\")+\"queue\",r=G.get(e,t),n&&(!r||Array.isArray(n)?r=G.access(e,t,b.makeArray(n)):r.push(n)),r||[]},dequeue:function(e,t){t=t||\"fx\";var n=b.queue(e,t),r=n.length,i=n.shift(),o=b._queueHooks(e,t);\"inprogress\"===i&&(i=n.shift(),r--),i&&(\"fx\"===t&&n.unshift(\"inprogress\"),delete o.stop,i.call(e,(function(){b.dequeue(e,t)}),o)),!r&&o&&o.empty.fire()},_queueHooks:function(e,t){var n=t+\"queueHooks\";return G.get(e,n)||G.access(e,n,{empty:b.Callbacks(\"once memory\").add((function(){G.remove(e,[t+\"queue\",n])}))})}}),b.fn.extend({queue:function(e,t){var n=2;return\"string\"!=typeof e&&(t=e,e=\"fx\",n--),arguments.length\\x20\\t\\r\\n\\f]*)/i,he=/^$|^module$|\\/(?:java|ecma)script/i;ce=v.createDocumentFragment().appendChild(v.createElement(\"div\")),(fe=v.createElement(\"input\")).setAttribute(\"type\",\"radio\"),fe.setAttribute(\"checked\",\"checked\"),fe.setAttribute(\"name\",\"t\"),ce.appendChild(fe),d.checkClone=ce.cloneNode(!0).cloneNode(!0).lastChild.checked,ce.innerHTML=\"\",d.noCloneChecked=!!ce.cloneNode(!0).lastChild.defaultValue,ce.innerHTML=\"\",d.option=!!ce.lastChild;var ge={thead:[1,\"\",\"
\"],col:[2,\"\",\"
\"],tr:[2,\"\",\"
\"],td:[3,\"\",\"
\"],_default:[0,\"\",\"\"]};function ve(e,t){var n;return n=void 0!==e.getElementsByTagName?e.getElementsByTagName(t||\"*\"):void 0!==e.querySelectorAll?e.querySelectorAll(t||\"*\"):[],void 0===t||t&&k(e,t)?b.merge([e],n):n}function ye(e,t){for(var n=0,r=e.length;n\",\"\"]);var me=/<|&#?\\w+;/;function xe(e,t,n,r,i){for(var o,a,s,u,l,c,f=t.createDocumentFragment(),p=[],d=0,h=e.length;d-1)i&&i.push(o);else if(l=re(o),a=ve(f.appendChild(o),\"script\"),l&&ye(a),n)for(c=0;o=a[c++];)he.test(o.type||\"\")&&n.push(o);return f}var be=/^key/,we=/^(?:mouse|pointer|contextmenu|drag|drop)|click/,Te=/^([^.]*)(?:\\.(.+)|)/;function Ce(){return!0}function Ee(){return!1}function Se(e,t){return e===function(){try{return v.activeElement}catch(e){}}()==(\"focus\"===t)}function ke(e,t,n,r,i,o){var a,s;if(\"object\"==typeof t){for(s in\"string\"!=typeof n&&(r=r||n,n=void 0),t)ke(e,s,n,r,t[s],o);return e}if(null==r&&null==i?(i=n,r=n=void 0):null==i&&(\"string\"==typeof n?(i=r,r=void 0):(i=r,r=n,n=void 0)),!1===i)i=Ee;else if(!i)return e;return 1===o&&(a=i,(i=function(e){return b().off(e),a.apply(this,arguments)}).guid=a.guid||(a.guid=b.guid++)),e.each((function(){b.event.add(this,t,i,r,n)}))}function Ae(e,t,n){n?(G.set(e,t,!1),b.event.add(e,t,{namespace:!1,handler:function(e){var r,o,a=G.get(this,t);if(1&e.isTrigger&&this[t]){if(a.length)(b.event.special[t]||{}).delegateType&&e.stopPropagation();else if(a=i.call(arguments),G.set(this,t,a),r=n(this,t),this[t](),a!==(o=G.get(this,t))||r?G.set(this,t,!1):o={},a!==o)return e.stopImmediatePropagation(),e.preventDefault(),o.value}else a.length&&(G.set(this,t,{value:b.event.trigger(b.extend(a[0],b.Event.prototype),a.slice(1),this)}),e.stopImmediatePropagation())}})):void 0===G.get(e,t)&&b.event.add(e,t,Ce)}b.event={global:{},add:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=G.get(e);if(X(e))for(n.handler&&(n=(o=n).handler,i=o.selector),i&&b.find.matchesSelector(ne,i),n.guid||(n.guid=b.guid++),(u=v.events)||(u=v.events=Object.create(null)),(a=v.handle)||(a=v.handle=function(t){return void 0!==b&&b.event.triggered!==t.type?b.event.dispatch.apply(e,arguments):void 0}),l=(t=(t||\"\").match(O)||[\"\"]).length;l--;)d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d&&(f=b.event.special[d]||{},d=(i?f.delegateType:f.bindType)||d,f=b.event.special[d]||{},c=b.extend({type:d,origType:g,data:r,handler:n,guid:n.guid,selector:i,needsContext:i&&b.expr.match.needsContext.test(i),namespace:h.join(\".\")},o),(p=u[d])||((p=u[d]=[]).delegateCount=0,f.setup&&!1!==f.setup.call(e,r,h,a)||e.addEventListener&&e.addEventListener(d,a)),f.add&&(f.add.call(e,c),c.handler.guid||(c.handler.guid=n.guid)),i?p.splice(p.delegateCount++,0,c):p.push(c),b.event.global[d]=!0)},remove:function(e,t,n,r,i){var o,a,s,u,l,c,f,p,d,h,g,v=G.hasData(e)&&G.get(e);if(v&&(u=v.events)){for(l=(t=(t||\"\").match(O)||[\"\"]).length;l--;)if(d=g=(s=Te.exec(t[l])||[])[1],h=(s[2]||\"\").split(\".\").sort(),d){for(f=b.event.special[d]||{},p=u[d=(r?f.delegateType:f.bindType)||d]||[],s=s[2]&&new RegExp(\"(^|\\\\.)\"+h.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"),a=o=p.length;o--;)c=p[o],!i&&g!==c.origType||n&&n.guid!==c.guid||s&&!s.test(c.namespace)||r&&r!==c.selector&&(\"**\"!==r||!c.selector)||(p.splice(o,1),c.selector&&p.delegateCount--,f.remove&&f.remove.call(e,c));a&&!p.length&&(f.teardown&&!1!==f.teardown.call(e,h,v.handle)||b.removeEvent(e,d,v.handle),delete u[d])}else for(d in u)b.event.remove(e,d+t[l],n,r,!0);b.isEmptyObject(u)&&G.remove(e,\"handle events\")}},dispatch:function(e){var t,n,r,i,o,a,s=new Array(arguments.length),u=b.event.fix(e),l=(G.get(this,\"events\")||Object.create(null))[u.type]||[],c=b.event.special[u.type]||{};for(s[0]=u,t=1;t=1))for(;l!==this;l=l.parentNode||this)if(1===l.nodeType&&(\"click\"!==e.type||!0!==l.disabled)){for(o=[],a={},n=0;n-1:b.find(i,this,null,[l]).length),a[i]&&o.push(r);o.length&&s.push({elem:l,handlers:o})}return l=this,u\\s*$/g;function qe(e,t){return k(e,\"table\")&&k(11!==t.nodeType?t:t.firstChild,\"tr\")&&b(e).children(\"tbody\")[0]||e}function Le(e){return e.type=(null!==e.getAttribute(\"type\"))+\"/\"+e.type,e}function He(e){return\"true/\"===(e.type||\"\").slice(0,5)?e.type=e.type.slice(5):e.removeAttribute(\"type\"),e}function Oe(e,t){var n,r,i,o,a,s;if(1===t.nodeType){if(G.hasData(e)&&(s=G.get(e).events))for(i in G.remove(t,\"handle events\"),s)for(n=0,r=s[i].length;n1&&\"string\"==typeof v&&!d.checkClone&&De.test(v))return e.each((function(i){var o=e.eq(i);y&&(t[0]=v.call(this,i,o.html())),Re(o,t,n,r)}));if(p&&(a=(i=xe(t,e[0].ownerDocument,!1,e,r)).firstChild,1===i.childNodes.length&&(i=a),a||r)){for(u=(s=b.map(ve(i,\"script\"),Le)).length;f0&&ye(a,!u&&ve(e,\"script\")),s},cleanData:function(e){for(var t,n,r,i=b.event.special,o=0;void 0!==(n=e[o]);o++)if(X(n)){if(t=n[G.expando]){if(t.events)for(r in t.events)i[r]?b.event.remove(n,r):b.removeEvent(n,r,t.handle);n[G.expando]=void 0}n[Y.expando]&&(n[Y.expando]=void 0)}}}),b.fn.extend({detach:function(e){return Me(this,e,!0)},remove:function(e){return Me(this,e)},text:function(e){return B(this,(function(e){return void 0===e?b.text(this):this.empty().each((function(){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||(this.textContent=e)}))}),null,e,arguments.length)},append:function(){return Re(this,arguments,(function(e){1!==this.nodeType&&11!==this.nodeType&&9!==this.nodeType||qe(this,e).appendChild(e)}))},prepend:function(){return Re(this,arguments,(function(e){if(1===this.nodeType||11===this.nodeType||9===this.nodeType){var t=qe(this,e);t.insertBefore(e,t.firstChild)}}))},before:function(){return Re(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this)}))},after:function(){return Re(this,arguments,(function(e){this.parentNode&&this.parentNode.insertBefore(e,this.nextSibling)}))},empty:function(){for(var e,t=0;null!=(e=this[t]);t++)1===e.nodeType&&(b.cleanData(ve(e,!1)),e.textContent=\"\");return this},clone:function(e,t){return e=null!=e&&e,t=null==t?e:t,this.map((function(){return b.clone(this,e,t)}))},html:function(e){return B(this,(function(e){var t=this[0]||{},n=0,r=this.length;if(void 0===e&&1===t.nodeType)return t.innerHTML;if(\"string\"==typeof e&&!Ne.test(e)&&!ge[(de.exec(e)||[\"\",\"\"])[1].toLowerCase()]){e=b.htmlPrefilter(e);try{for(;n3,ne.removeChild(t)),s}}))}();var ze=[\"Webkit\",\"Moz\",\"ms\"],Ue=v.createElement(\"div\").style,Xe={};function Ve(e){var t=b.cssProps[e]||Xe[e];return t||(e in Ue?e:Xe[e]=function(e){for(var t=e[0].toUpperCase()+e.slice(1),n=ze.length;n--;)if((e=ze[n]+t)in Ue)return e}(e)||e)}var Ge=/^(none|table(?!-c[ea]).+)/,Ye=/^--/,Qe={position:\"absolute\",visibility:\"hidden\",display:\"block\"},Je={letterSpacing:\"0\",fontWeight:\"400\"};function Ke(e,t,n){var r=ee.exec(t);return r?Math.max(0,r[2]-(n||0))+(r[3]||\"px\"):t}function Ze(e,t,n,r,i,o){var a=\"width\"===t?1:0,s=0,u=0;if(n===(r?\"border\":\"content\"))return 0;for(;a<4;a+=2)\"margin\"===n&&(u+=b.css(e,n+te[a],!0,i)),r?(\"content\"===n&&(u-=b.css(e,\"padding\"+te[a],!0,i)),\"margin\"!==n&&(u-=b.css(e,\"border\"+te[a]+\"Width\",!0,i))):(u+=b.css(e,\"padding\"+te[a],!0,i),\"padding\"!==n?u+=b.css(e,\"border\"+te[a]+\"Width\",!0,i):s+=b.css(e,\"border\"+te[a]+\"Width\",!0,i));return!r&&o>=0&&(u+=Math.max(0,Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-o-u-s-.5))||0),u}function et(e,t,n){var r=We(e),i=(!d.boxSizingReliable()||n)&&\"border-box\"===b.css(e,\"boxSizing\",!1,r),o=i,a=$e(e,t,r),s=\"offset\"+t[0].toUpperCase()+t.slice(1);if(Ie.test(a)){if(!n)return a;a=\"auto\"}return(!d.boxSizingReliable()&&i||!d.reliableTrDimensions()&&k(e,\"tr\")||\"auto\"===a||!parseFloat(a)&&\"inline\"===b.css(e,\"display\",!1,r))&&e.getClientRects().length&&(i=\"border-box\"===b.css(e,\"boxSizing\",!1,r),(o=s in e)&&(a=e[s])),(a=parseFloat(a)||0)+Ze(e,t,n||(i?\"border\":\"content\"),o,r,a)+\"px\"}function tt(e,t,n,r,i){return new tt.prototype.init(e,t,n,r,i)}b.extend({cssHooks:{opacity:{get:function(e,t){if(t){var n=$e(e,\"opacity\");return\"\"===n?\"1\":n}}}},cssNumber:{animationIterationCount:!0,columnCount:!0,fillOpacity:!0,flexGrow:!0,flexShrink:!0,fontWeight:!0,gridArea:!0,gridColumn:!0,gridColumnEnd:!0,gridColumnStart:!0,gridRow:!0,gridRowEnd:!0,gridRowStart:!0,lineHeight:!0,opacity:!0,order:!0,orphans:!0,widows:!0,zIndex:!0,zoom:!0},cssProps:{},style:function(e,t,n,r){if(e&&3!==e.nodeType&&8!==e.nodeType&&e.style){var i,o,a,s=U(t),u=Ye.test(t),l=e.style;if(u||(t=Ve(s)),a=b.cssHooks[t]||b.cssHooks[s],void 0===n)return a&&\"get\"in a&&void 0!==(i=a.get(e,!1,r))?i:l[t];\"string\"===(o=typeof n)&&(i=ee.exec(n))&&i[1]&&(n=ae(e,t,i),o=\"number\"),null!=n&&n==n&&(\"number\"!==o||u||(n+=i&&i[3]||(b.cssNumber[s]?\"\":\"px\")),d.clearCloneStyle||\"\"!==n||0!==t.indexOf(\"background\")||(l[t]=\"inherit\"),a&&\"set\"in a&&void 0===(n=a.set(e,n,r))||(u?l.setProperty(t,n):l[t]=n))}},css:function(e,t,n,r){var i,o,a,s=U(t);return Ye.test(t)||(t=Ve(s)),(a=b.cssHooks[t]||b.cssHooks[s])&&\"get\"in a&&(i=a.get(e,!0,n)),void 0===i&&(i=$e(e,t,r)),\"normal\"===i&&t in Je&&(i=Je[t]),\"\"===n||n?(o=parseFloat(i),!0===n||isFinite(o)?o||0:i):i}}),b.each([\"height\",\"width\"],(function(e,t){b.cssHooks[t]={get:function(e,n,r){if(n)return!Ge.test(b.css(e,\"display\"))||e.getClientRects().length&&e.getBoundingClientRect().width?et(e,t,r):Fe(e,Qe,(function(){return et(e,t,r)}))},set:function(e,n,r){var i,o=We(e),a=!d.scrollboxSize()&&\"absolute\"===o.position,s=(a||r)&&\"border-box\"===b.css(e,\"boxSizing\",!1,o),u=r?Ze(e,t,r,s,o):0;return s&&a&&(u-=Math.ceil(e[\"offset\"+t[0].toUpperCase()+t.slice(1)]-parseFloat(o[t])-Ze(e,t,\"border\",!1,o)-.5)),u&&(i=ee.exec(n))&&\"px\"!==(i[3]||\"px\")&&(e.style[t]=n,n=b.css(e,t)),Ke(0,n,u)}}})),b.cssHooks.marginLeft=_e(d.reliableMarginLeft,(function(e,t){if(t)return(parseFloat($e(e,\"marginLeft\"))||e.getBoundingClientRect().left-Fe(e,{marginLeft:0},(function(){return e.getBoundingClientRect().left})))+\"px\"})),b.each({margin:\"\",padding:\"\",border:\"Width\"},(function(e,t){b.cssHooks[e+t]={expand:function(n){for(var r=0,i={},o=\"string\"==typeof n?n.split(\" \"):[n];r<4;r++)i[e+te[r]+t]=o[r]||o[r-2]||o[0];return i}},\"margin\"!==e&&(b.cssHooks[e+t].set=Ke)})),b.fn.extend({css:function(e,t){return B(this,(function(e,t,n){var r,i,o={},a=0;if(Array.isArray(t)){for(r=We(e),i=t.length;a1)}}),b.Tween=tt,tt.prototype={constructor:tt,init:function(e,t,n,r,i,o){this.elem=e,this.prop=n,this.easing=i||b.easing._default,this.options=t,this.start=this.now=this.cur(),this.end=r,this.unit=o||(b.cssNumber[n]?\"\":\"px\")},cur:function(){var e=tt.propHooks[this.prop];return e&&e.get?e.get(this):tt.propHooks._default.get(this)},run:function(e){var t,n=tt.propHooks[this.prop];return this.options.duration?this.pos=t=b.easing[this.easing](e,this.options.duration*e,0,1,this.options.duration):this.pos=t=e,this.now=(this.end-this.start)*t+this.start,this.options.step&&this.options.step.call(this.elem,this.now,this),n&&n.set?n.set(this):tt.propHooks._default.set(this),this}},tt.prototype.init.prototype=tt.prototype,tt.propHooks={_default:{get:function(e){var t;return 1!==e.elem.nodeType||null!=e.elem[e.prop]&&null==e.elem.style[e.prop]?e.elem[e.prop]:(t=b.css(e.elem,e.prop,\"\"))&&\"auto\"!==t?t:0},set:function(e){b.fx.step[e.prop]?b.fx.step[e.prop](e):1!==e.elem.nodeType||!b.cssHooks[e.prop]&&null==e.elem.style[Ve(e.prop)]?e.elem[e.prop]=e.now:b.style(e.elem,e.prop,e.now+e.unit)}}},tt.propHooks.scrollTop=tt.propHooks.scrollLeft={set:function(e){e.elem.nodeType&&e.elem.parentNode&&(e.elem[e.prop]=e.now)}},b.easing={linear:function(e){return e},swing:function(e){return.5-Math.cos(e*Math.PI)/2},_default:\"swing\"},b.fx=tt.prototype.init,b.fx.step={};var nt,rt,it=/^(?:toggle|show|hide)$/,ot=/queueHooks$/;function at(){rt&&(!1===v.hidden&&e.requestAnimationFrame?e.requestAnimationFrame(at):e.setTimeout(at,b.fx.interval),b.fx.tick())}function st(){return e.setTimeout((function(){nt=void 0})),nt=Date.now()}function ut(e,t){var n,r=0,i={height:e};for(t=t?1:0;r<4;r+=2-t)i[\"margin\"+(n=te[r])]=i[\"padding\"+n]=e;return t&&(i.opacity=i.width=e),i}function lt(e,t,n){for(var r,i=(ct.tweeners[t]||[]).concat(ct.tweeners[\"*\"]),o=0,a=i.length;o1)},removeAttr:function(e){return this.each((function(){b.removeAttr(this,e)}))}}),b.extend({attr:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return void 0===e.getAttribute?b.prop(e,t,n):(1===o&&b.isXMLDoc(e)||(i=b.attrHooks[t.toLowerCase()]||(b.expr.match.bool.test(t)?ft:void 0)),void 0!==n?null===n?void b.removeAttr(e,t):i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:(e.setAttribute(t,n+\"\"),n):i&&\"get\"in i&&null!==(r=i.get(e,t))?r:null==(r=b.find.attr(e,t))?void 0:r)},attrHooks:{type:{set:function(e,t){if(!d.radioValue&&\"radio\"===t&&k(e,\"input\")){var n=e.value;return e.setAttribute(\"type\",t),n&&(e.value=n),t}}}},removeAttr:function(e,t){var n,r=0,i=t&&t.match(O);if(i&&1===e.nodeType)for(;n=i[r++];)e.removeAttribute(n)}}),ft={set:function(e,t,n){return!1===t?b.removeAttr(e,n):e.setAttribute(n,n),n}},b.each(b.expr.match.bool.source.match(/\\w+/g),(function(e,t){var n=pt[t]||b.find.attr;pt[t]=function(e,t,r){var i,o,a=t.toLowerCase();return r||(o=pt[a],pt[a]=i,i=null!=n(e,t,r)?a:null,pt[a]=o),i}}));var dt=/^(?:input|select|textarea|button)$/i,ht=/^(?:a|area)$/i;function gt(e){return(e.match(O)||[]).join(\" \")}function vt(e){return e.getAttribute&&e.getAttribute(\"class\")||\"\"}function yt(e){return Array.isArray(e)?e:\"string\"==typeof e&&e.match(O)||[]}b.fn.extend({prop:function(e,t){return B(this,b.prop,e,t,arguments.length>1)},removeProp:function(e){return this.each((function(){delete this[b.propFix[e]||e]}))}}),b.extend({prop:function(e,t,n){var r,i,o=e.nodeType;if(3!==o&&8!==o&&2!==o)return 1===o&&b.isXMLDoc(e)||(t=b.propFix[t]||t,i=b.propHooks[t]),void 0!==n?i&&\"set\"in i&&void 0!==(r=i.set(e,n,t))?r:e[t]=n:i&&\"get\"in i&&null!==(r=i.get(e,t))?r:e[t]},propHooks:{tabIndex:{get:function(e){var t=b.find.attr(e,\"tabindex\");return t?parseInt(t,10):dt.test(e.nodeName)||ht.test(e.nodeName)&&e.href?0:-1}}},propFix:{for:\"htmlFor\",class:\"className\"}}),d.optSelected||(b.propHooks.selected={get:function(e){var t=e.parentNode;return t&&t.parentNode&&t.parentNode.selectedIndex,null},set:function(e){var t=e.parentNode;t&&(t.selectedIndex,t.parentNode&&t.parentNode.selectedIndex)}}),b.each([\"tabIndex\",\"readOnly\",\"maxLength\",\"cellSpacing\",\"cellPadding\",\"rowSpan\",\"colSpan\",\"useMap\",\"frameBorder\",\"contentEditable\"],(function(){b.propFix[this.toLowerCase()]=this})),b.fn.extend({addClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).addClass(e.call(this,t,vt(this)))}));if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)r.indexOf(\" \"+o+\" \")<0&&(r+=o+\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},removeClass:function(e){var t,n,r,i,o,a,s,u=0;if(h(e))return this.each((function(t){b(this).removeClass(e.call(this,t,vt(this)))}));if(!arguments.length)return this.attr(\"class\",\"\");if((t=yt(e)).length)for(;n=this[u++];)if(i=vt(n),r=1===n.nodeType&&\" \"+gt(i)+\" \"){for(a=0;o=t[a++];)for(;r.indexOf(\" \"+o+\" \")>-1;)r=r.replace(\" \"+o+\" \",\" \");i!==(s=gt(r))&&n.setAttribute(\"class\",s)}return this},toggleClass:function(e,t){var n=typeof e,r=\"string\"===n||Array.isArray(e);return\"boolean\"==typeof t&&r?t?this.addClass(e):this.removeClass(e):h(e)?this.each((function(n){b(this).toggleClass(e.call(this,n,vt(this),t),t)})):this.each((function(){var t,i,o,a;if(r)for(i=0,o=b(this),a=yt(e);t=a[i++];)o.hasClass(t)?o.removeClass(t):o.addClass(t);else void 0!==e&&\"boolean\"!==n||((t=vt(this))&&G.set(this,\"__className__\",t),this.setAttribute&&this.setAttribute(\"class\",t||!1===e?\"\":G.get(this,\"__className__\")||\"\"))}))},hasClass:function(e){var t,n,r=0;for(t=\" \"+e+\" \";n=this[r++];)if(1===n.nodeType&&(\" \"+gt(vt(n))+\" \").indexOf(t)>-1)return!0;return!1}});var mt=/\\r/g;b.fn.extend({val:function(e){var t,n,r,i=this[0];return arguments.length?(r=h(e),this.each((function(n){var i;1===this.nodeType&&(null==(i=r?e.call(this,n,b(this).val()):e)?i=\"\":\"number\"==typeof i?i+=\"\":Array.isArray(i)&&(i=b.map(i,(function(e){return null==e?\"\":e+\"\"}))),(t=b.valHooks[this.type]||b.valHooks[this.nodeName.toLowerCase()])&&\"set\"in t&&void 0!==t.set(this,i,\"value\")||(this.value=i))}))):i?(t=b.valHooks[i.type]||b.valHooks[i.nodeName.toLowerCase()])&&\"get\"in t&&void 0!==(n=t.get(i,\"value\"))?n:\"string\"==typeof(n=i.value)?n.replace(mt,\"\"):null==n?\"\":n:void 0}}),b.extend({valHooks:{option:{get:function(e){var t=b.find.attr(e,\"value\");return null!=t?t:gt(b.text(e))}},select:{get:function(e){var t,n,r,i=e.options,o=e.selectedIndex,a=\"select-one\"===e.type,s=a?null:[],u=a?o+1:i.length;for(r=o<0?u:a?o:0;r-1)&&(n=!0);return n||(e.selectedIndex=-1),o}}}}),b.each([\"radio\",\"checkbox\"],(function(){b.valHooks[this]={set:function(e,t){if(Array.isArray(t))return e.checked=b.inArray(b(e).val(),t)>-1}},d.checkOn||(b.valHooks[this].get=function(e){return null===e.getAttribute(\"value\")?\"on\":e.value})})),d.focusin=\"onfocusin\"in e;var xt=/^(?:focusinfocus|focusoutblur)$/,bt=function(e){e.stopPropagation()};b.extend(b.event,{trigger:function(t,n,r,i){var o,a,s,u,l,f,p,d,y=[r||v],m=c.call(t,\"type\")?t.type:t,x=c.call(t,\"namespace\")?t.namespace.split(\".\"):[];if(a=d=s=r=r||v,3!==r.nodeType&&8!==r.nodeType&&!xt.test(m+b.event.triggered)&&(m.indexOf(\".\")>-1&&(x=m.split(\".\"),m=x.shift(),x.sort()),l=m.indexOf(\":\")<0&&\"on\"+m,(t=t[b.expando]?t:new b.Event(m,\"object\"==typeof t&&t)).isTrigger=i?2:3,t.namespace=x.join(\".\"),t.rnamespace=t.namespace?new RegExp(\"(^|\\\\.)\"+x.join(\"\\\\.(?:.*\\\\.|)\")+\"(\\\\.|$)\"):null,t.result=void 0,t.target||(t.target=r),n=null==n?[t]:b.makeArray(n,[t]),p=b.event.special[m]||{},i||!p.trigger||!1!==p.trigger.apply(r,n))){if(!i&&!p.noBubble&&!g(r)){for(u=p.delegateType||m,xt.test(u+m)||(a=a.parentNode);a;a=a.parentNode)y.push(a),s=a;s===(r.ownerDocument||v)&&y.push(s.defaultView||s.parentWindow||e)}for(o=0;(a=y[o++])&&!t.isPropagationStopped();)d=a,t.type=o>1?u:p.bindType||m,(f=(G.get(a,\"events\")||Object.create(null))[t.type]&&G.get(a,\"handle\"))&&f.apply(a,n),(f=l&&a[l])&&f.apply&&X(a)&&(t.result=f.apply(a,n),!1===t.result&&t.preventDefault());return t.type=m,i||t.isDefaultPrevented()||p._default&&!1!==p._default.apply(y.pop(),n)||!X(r)||l&&h(r[m])&&!g(r)&&((s=r[l])&&(r[l]=null),b.event.triggered=m,t.isPropagationStopped()&&d.addEventListener(m,bt),r[m](),t.isPropagationStopped()&&d.removeEventListener(m,bt),b.event.triggered=void 0,s&&(r[l]=s)),t.result}},simulate:function(e,t,n){var r=b.extend(new b.Event,n,{type:e,isSimulated:!0});b.event.trigger(r,null,t)}}),b.fn.extend({trigger:function(e,t){return this.each((function(){b.event.trigger(e,t,this)}))},triggerHandler:function(e,t){var n=this[0];if(n)return b.event.trigger(e,t,n,!0)}}),d.focusin||b.each({focus:\"focusin\",blur:\"focusout\"},(function(e,t){var n=function(e){b.event.simulate(t,e.target,b.event.fix(e))};b.event.special[t]={setup:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t);i||r.addEventListener(e,n,!0),G.access(r,t,(i||0)+1)},teardown:function(){var r=this.ownerDocument||this.document||this,i=G.access(r,t)-1;i?G.access(r,t,i):(r.removeEventListener(e,n,!0),G.remove(r,t))}}}));var wt=e.location,Tt={guid:Date.now()},Ct=/\\?/;b.parseXML=function(t){var n;if(!t||\"string\"!=typeof t)return null;try{n=(new e.DOMParser).parseFromString(t,\"text/xml\")}catch(e){n=void 0}return n&&!n.getElementsByTagName(\"parsererror\").length||b.error(\"Invalid XML: \"+t),n};var Et=/\\[\\]$/,St=/\\r?\\n/g,kt=/^(?:submit|button|image|reset|file)$/i,At=/^(?:input|select|textarea|keygen)/i;function Nt(e,t,n,r){var i;if(Array.isArray(t))b.each(t,(function(t,i){n||Et.test(e)?r(e,i):Nt(e+\"[\"+(\"object\"==typeof i&&null!=i?t:\"\")+\"]\",i,n,r)}));else if(n||\"object\"!==x(t))r(e,t);else for(i in t)Nt(e+\"[\"+i+\"]\",t[i],n,r)}b.param=function(e,t){var n,r=[],i=function(e,t){var n=h(t)?t():t;r[r.length]=encodeURIComponent(e)+\"=\"+encodeURIComponent(null==n?\"\":n)};if(null==e)return\"\";if(Array.isArray(e)||e.jquery&&!b.isPlainObject(e))b.each(e,(function(){i(this.name,this.value)}));else for(n in e)Nt(n,e[n],t,i);return r.join(\"&\")},b.fn.extend({serialize:function(){return b.param(this.serializeArray())},serializeArray:function(){return this.map((function(){var e=b.prop(this,\"elements\");return e?b.makeArray(e):this})).filter((function(){var e=this.type;return this.name&&!b(this).is(\":disabled\")&&At.test(this.nodeName)&&!kt.test(e)&&(this.checked||!pe.test(e))})).map((function(e,t){var n=b(this).val();return null==n?null:Array.isArray(n)?b.map(n,(function(e){return{name:t.name,value:e.replace(St,\"\\r\\n\")}})):{name:t.name,value:n.replace(St,\"\\r\\n\")}})).get()}});var Dt=/%20/g,jt=/#.*$/,qt=/([?&])_=[^&]*/,Lt=/^(.*?):[ \\t]*([^\\r\\n]*)$/gm,Ht=/^(?:GET|HEAD)$/,Ot=/^\\/\\//,Pt={},Rt={},Mt=\"*/\".concat(\"*\"),It=v.createElement(\"a\");function Wt(e){return function(t,n){\"string\"!=typeof t&&(n=t,t=\"*\");var r,i=0,o=t.toLowerCase().match(O)||[];if(h(n))for(;r=o[i++];)\"+\"===r[0]?(r=r.slice(1)||\"*\",(e[r]=e[r]||[]).unshift(n)):(e[r]=e[r]||[]).push(n)}}function Ft(e,t,n,r){var i={},o=e===Rt;function a(s){var u;return i[s]=!0,b.each(e[s]||[],(function(e,s){var l=s(t,n,r);return\"string\"!=typeof l||o||i[l]?o?!(u=l):void 0:(t.dataTypes.unshift(l),a(l),!1)})),u}return a(t.dataTypes[0])||!i[\"*\"]&&a(\"*\")}function Bt(e,t){var n,r,i=b.ajaxSettings.flatOptions||{};for(n in t)void 0!==t[n]&&((i[n]?e:r||(r={}))[n]=t[n]);return r&&b.extend(!0,e,r),e}It.href=wt.href,b.extend({active:0,lastModified:{},etag:{},ajaxSettings:{url:wt.href,type:\"GET\",isLocal:/^(?:about|app|app-storage|.+-extension|file|res|widget):$/.test(wt.protocol),global:!0,processData:!0,async:!0,contentType:\"application/x-www-form-urlencoded; charset=UTF-8\",accepts:{\"*\":Mt,text:\"text/plain\",html:\"text/html\",xml:\"application/xml, text/xml\",json:\"application/json, text/javascript\"},contents:{xml:/\\bxml\\b/,html:/\\bhtml/,json:/\\bjson\\b/},responseFields:{xml:\"responseXML\",text:\"responseText\",json:\"responseJSON\"},converters:{\"* text\":String,\"text html\":!0,\"text json\":JSON.parse,\"text xml\":b.parseXML},flatOptions:{url:!0,context:!0}},ajaxSetup:function(e,t){return t?Bt(Bt(e,b.ajaxSettings),t):Bt(b.ajaxSettings,e)},ajaxPrefilter:Wt(Pt),ajaxTransport:Wt(Rt),ajax:function(t,n){\"object\"==typeof t&&(n=t,t=void 0),n=n||{};var r,i,o,a,s,u,l,c,f,p,d=b.ajaxSetup({},n),h=d.context||d,g=d.context&&(h.nodeType||h.jquery)?b(h):b.event,y=b.Deferred(),m=b.Callbacks(\"once memory\"),x=d.statusCode||{},w={},T={},C=\"canceled\",E={readyState:0,getResponseHeader:function(e){var t;if(l){if(!a)for(a={};t=Lt.exec(o);)a[t[1].toLowerCase()+\" \"]=(a[t[1].toLowerCase()+\" \"]||[]).concat(t[2]);t=a[e.toLowerCase()+\" \"]}return null==t?null:t.join(\", \")},getAllResponseHeaders:function(){return l?o:null},setRequestHeader:function(e,t){return null==l&&(e=T[e.toLowerCase()]=T[e.toLowerCase()]||e,w[e]=t),this},overrideMimeType:function(e){return null==l&&(d.mimeType=e),this},statusCode:function(e){var t;if(e)if(l)E.always(e[E.status]);else for(t in e)x[t]=[x[t],e[t]];return this},abort:function(e){var t=e||C;return r&&r.abort(t),S(0,t),this}};if(y.promise(E),d.url=((t||d.url||wt.href)+\"\").replace(Ot,wt.protocol+\"//\"),d.type=n.method||n.type||d.method||d.type,d.dataTypes=(d.dataType||\"*\").toLowerCase().match(O)||[\"\"],null==d.crossDomain){u=v.createElement(\"a\");try{u.href=d.url,u.href=u.href,d.crossDomain=It.protocol+\"//\"+It.host!=u.protocol+\"//\"+u.host}catch(e){d.crossDomain=!0}}if(d.data&&d.processData&&\"string\"!=typeof d.data&&(d.data=b.param(d.data,d.traditional)),Ft(Pt,d,n,E),l)return E;for(f in(c=b.event&&d.global)&&0==b.active++&&b.event.trigger(\"ajaxStart\"),d.type=d.type.toUpperCase(),d.hasContent=!Ht.test(d.type),i=d.url.replace(jt,\"\"),d.hasContent?d.data&&d.processData&&0===(d.contentType||\"\").indexOf(\"application/x-www-form-urlencoded\")&&(d.data=d.data.replace(Dt,\"+\")):(p=d.url.slice(i.length),d.data&&(d.processData||\"string\"==typeof d.data)&&(i+=(Ct.test(i)?\"&\":\"?\")+d.data,delete d.data),!1===d.cache&&(i=i.replace(qt,\"$1\"),p=(Ct.test(i)?\"&\":\"?\")+\"_=\"+Tt.guid+++p),d.url=i+p),d.ifModified&&(b.lastModified[i]&&E.setRequestHeader(\"If-Modified-Since\",b.lastModified[i]),b.etag[i]&&E.setRequestHeader(\"If-None-Match\",b.etag[i])),(d.data&&d.hasContent&&!1!==d.contentType||n.contentType)&&E.setRequestHeader(\"Content-Type\",d.contentType),E.setRequestHeader(\"Accept\",d.dataTypes[0]&&d.accepts[d.dataTypes[0]]?d.accepts[d.dataTypes[0]]+(\"*\"!==d.dataTypes[0]?\", \"+Mt+\"; q=0.01\":\"\"):d.accepts[\"*\"]),d.headers)E.setRequestHeader(f,d.headers[f]);if(d.beforeSend&&(!1===d.beforeSend.call(h,E,d)||l))return E.abort();if(C=\"abort\",m.add(d.complete),E.done(d.success),E.fail(d.error),r=Ft(Rt,d,n,E)){if(E.readyState=1,c&&g.trigger(\"ajaxSend\",[E,d]),l)return E;d.async&&d.timeout>0&&(s=e.setTimeout((function(){E.abort(\"timeout\")}),d.timeout));try{l=!1,r.send(w,S)}catch(e){if(l)throw e;S(-1,e)}}else S(-1,\"No Transport\");function S(t,n,a,u){var f,p,v,w,T,C=n;l||(l=!0,s&&e.clearTimeout(s),r=void 0,o=u||\"\",E.readyState=t>0?4:0,f=t>=200&&t<300||304===t,a&&(w=function(e,t,n){for(var r,i,o,a,s=e.contents,u=e.dataTypes;\"*\"===u[0];)u.shift(),void 0===r&&(r=e.mimeType||t.getResponseHeader(\"Content-Type\"));if(r)for(i in s)if(s[i]&&s[i].test(r)){u.unshift(i);break}if(u[0]in n)o=u[0];else{for(i in n){if(!u[0]||e.converters[i+\" \"+u[0]]){o=i;break}a||(a=i)}o=o||a}if(o)return o!==u[0]&&u.unshift(o),n[o]}(d,E,a)),!f&&b.inArray(\"script\",d.dataTypes)>-1&&(d.converters[\"text script\"]=function(){}),w=function(e,t,n,r){var i,o,a,s,u,l={},c=e.dataTypes.slice();if(c[1])for(a in e.converters)l[a.toLowerCase()]=e.converters[a];for(o=c.shift();o;)if(e.responseFields[o]&&(n[e.responseFields[o]]=t),!u&&r&&e.dataFilter&&(t=e.dataFilter(t,e.dataType)),u=o,o=c.shift())if(\"*\"===o)o=u;else if(\"*\"!==u&&u!==o){if(!(a=l[u+\" \"+o]||l[\"* \"+o]))for(i in l)if((s=i.split(\" \"))[1]===o&&(a=l[u+\" \"+s[0]]||l[\"* \"+s[0]])){!0===a?a=l[i]:!0!==l[i]&&(o=s[0],c.unshift(s[1]));break}if(!0!==a)if(a&&e.throws)t=a(t);else try{t=a(t)}catch(e){return{state:\"parsererror\",error:a?e:\"No conversion from \"+u+\" to \"+o}}}return{state:\"success\",data:t}}(d,w,E,f),f?(d.ifModified&&((T=E.getResponseHeader(\"Last-Modified\"))&&(b.lastModified[i]=T),(T=E.getResponseHeader(\"etag\"))&&(b.etag[i]=T)),204===t||\"HEAD\"===d.type?C=\"nocontent\":304===t?C=\"notmodified\":(C=w.state,p=w.data,f=!(v=w.error))):(v=C,!t&&C||(C=\"error\",t<0&&(t=0))),E.status=t,E.statusText=(n||C)+\"\",f?y.resolveWith(h,[p,C,E]):y.rejectWith(h,[E,C,v]),E.statusCode(x),x=void 0,c&&g.trigger(f?\"ajaxSuccess\":\"ajaxError\",[E,d,f?p:v]),m.fireWith(h,[E,C]),c&&(g.trigger(\"ajaxComplete\",[E,d]),--b.active||b.event.trigger(\"ajaxStop\")))}return E},getJSON:function(e,t,n){return b.get(e,t,n,\"json\")},getScript:function(e,t){return b.get(e,void 0,t,\"script\")}}),b.each([\"get\",\"post\"],(function(e,t){b[t]=function(e,n,r,i){return h(n)&&(i=i||r,r=n,n=void 0),b.ajax(b.extend({url:e,type:t,dataType:i,data:n,success:r},b.isPlainObject(e)&&e))}})),b.ajaxPrefilter((function(e){var t;for(t in e.headers)\"content-type\"===t.toLowerCase()&&(e.contentType=e.headers[t]||\"\")})),b._evalUrl=function(e,t,n){return b.ajax({url:e,type:\"GET\",dataType:\"script\",cache:!0,async:!1,global:!1,converters:{\"text script\":function(){}},dataFilter:function(e){b.globalEval(e,t,n)}})},b.fn.extend({wrapAll:function(e){var t;return this[0]&&(h(e)&&(e=e.call(this[0])),t=b(e,this[0].ownerDocument).eq(0).clone(!0),this[0].parentNode&&t.insertBefore(this[0]),t.map((function(){for(var e=this;e.firstElementChild;)e=e.firstElementChild;return e})).append(this)),this},wrapInner:function(e){return h(e)?this.each((function(t){b(this).wrapInner(e.call(this,t))})):this.each((function(){var t=b(this),n=t.contents();n.length?n.wrapAll(e):t.append(e)}))},wrap:function(e){var t=h(e);return this.each((function(n){b(this).wrapAll(t?e.call(this,n):e)}))},unwrap:function(e){return this.parent(e).not(\"body\").each((function(){b(this).replaceWith(this.childNodes)})),this}}),b.expr.pseudos.hidden=function(e){return!b.expr.pseudos.visible(e)},b.expr.pseudos.visible=function(e){return!!(e.offsetWidth||e.offsetHeight||e.getClientRects().length)},b.ajaxSettings.xhr=function(){try{return new e.XMLHttpRequest}catch(e){}};var $t={0:200,1223:204},_t=b.ajaxSettings.xhr();d.cors=!!_t&&\"withCredentials\"in _t,d.ajax=_t=!!_t,b.ajaxTransport((function(t){var n,r;if(d.cors||_t&&!t.crossDomain)return{send:function(i,o){var a,s=t.xhr();if(s.open(t.type,t.url,t.async,t.username,t.password),t.xhrFields)for(a in t.xhrFields)s[a]=t.xhrFields[a];for(a in t.mimeType&&s.overrideMimeType&&s.overrideMimeType(t.mimeType),t.crossDomain||i[\"X-Requested-With\"]||(i[\"X-Requested-With\"]=\"XMLHttpRequest\"),i)s.setRequestHeader(a,i[a]);n=function(e){return function(){n&&(n=r=s.onload=s.onerror=s.onabort=s.ontimeout=s.onreadystatechange=null,\"abort\"===e?s.abort():\"error\"===e?\"number\"!=typeof s.status?o(0,\"error\"):o(s.status,s.statusText):o($t[s.status]||s.status,s.statusText,\"text\"!==(s.responseType||\"text\")||\"string\"!=typeof s.responseText?{binary:s.response}:{text:s.responseText},s.getAllResponseHeaders()))}},s.onload=n(),r=s.onerror=s.ontimeout=n(\"error\"),void 0!==s.onabort?s.onabort=r:s.onreadystatechange=function(){4===s.readyState&&e.setTimeout((function(){n&&r()}))},n=n(\"abort\");try{s.send(t.hasContent&&t.data||null)}catch(e){if(n)throw e}},abort:function(){n&&n()}}})),b.ajaxPrefilter((function(e){e.crossDomain&&(e.contents.script=!1)})),b.ajaxSetup({accepts:{script:\"text/javascript, application/javascript, application/ecmascript, application/x-ecmascript\"},contents:{script:/\\b(?:java|ecma)script\\b/},converters:{\"text script\":function(e){return b.globalEval(e),e}}}),b.ajaxPrefilter(\"script\",(function(e){void 0===e.cache&&(e.cache=!1),e.crossDomain&&(e.type=\"GET\")})),b.ajaxTransport(\"script\",(function(e){var t,n;if(e.crossDomain||e.scriptAttrs)return{send:function(r,i){t=b(\"" - ], - "text/plain": [ - ":DynamicMap []\n", - " :NdOverlay [Element]\n", - " :Histogram [eta] (eta_count)" - ] - }, - "execution_count": 11, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1001" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "ds.sel(time='2010-08-31').eta.hvplot(colormap='RdBu_r', width=900, height=550, rasterize=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Timeseries of Mean Surface Elevation in this region\n", - "\n", - "Here we make a simple yet fundamental calculation: the rate of increase of mean sea level over the observational period." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "21825.072" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# the number of MB involved in the reduction\n", - "ds.eta.nbytes/1e6" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 1.75 s, sys: 238 ms, total: 1.99 s\n", - "Wall time: 18.9 s\n" - ] - } - ], - "source": [ - "# the computationally intensive step \n", - "# It tooks about 1 hour running on VDI using 8 cores 33GB memory!\n", - "%time eta_timeseries = ds.eta.mean(dim=('j', 'i')).load()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "With 96 cores and 192GB memory on Gadi, it took only ~20 seconds to get the result. The performance is way better in this case. " - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "Show/Hide data repr\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Show/Hide attributes\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
xarray.DataArray
'eta'
  • time: 50521
  • 0.29740518 0.11094333 0.026842296 ... 0.92376775 1.0685049 1.0191541
    array([0.29740518, 0.11094333, 0.0268423 , ..., 0.92376775, 1.0685049 ,\n",
    -       "       1.0191541 ], dtype=float32)
    • time
      (time)
      datetime64[ns]
      2010-08-31T14:00:00 ... 2016-06-07T14:00:00
      long_name :
      Time
      standard_name :
      time
      coordinate_type :
      time
      array(['2010-08-31T14:00:00.000000000', '2010-08-31T15:00:00.000000000',\n",
      -       "       '2010-08-31T16:00:00.000000000', ..., '2016-06-07T12:00:00.000000000',\n",
      -       "       '2016-06-07T13:00:00.000000000', '2016-06-07T14:00:00.000000000'],\n",
      -       "      dtype='datetime64[ns]')
" - ], - "text/plain": [ - "\n", - "array([0.29740518, 0.11094333, 0.0268423 , ..., 0.92376775, 1.0685049 ,\n", - " 1.0191541 ], dtype=float32)\n", - "Coordinates:\n", - " * time (time) datetime64[ns] 2010-08-31T14:00:00 ... 2016-06-07T14:00:00" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "eta_timeseries" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [ - { - "data": {}, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "
\n", - "" - ], - "text/plain": [ - ":Curve [time] (eta)" - ] - }, - "execution_count": 23, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1197" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "eta_full = eta_timeseries.hvplot(label='full data', grid=True,\n", - " title='Sea surface height above sea level', \n", - " width=800, height=400)\n", - "eta_full" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Now let's take a closer look at the sea surface variation during the first 24 hours. If you place the mouse on the plot, the value of that point will show up automatically." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/pp66/jbw900/public/apps/holoviews/plotting/util.py:685: MatplotlibDeprecationWarning: The global colormaps dictionary is no longer considered public API.\n", - " [cmap for cmap in cm.cmap_d if not\n", - "/g/data/pp66/jbw900/public/apps/holoviews/plotting/util.py:685: MatplotlibDeprecationWarning: The global colormaps dictionary is no longer considered public API.\n", - " [cmap for cmap in cm.cmap_d if not\n" - ] - }, - { - "data": {}, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "
\n", - "" - ], - "text/plain": [ - ":DynamicMap []\n", - " :Image [time,eta] (Count)" - ] - }, - "execution_count": 24, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1388" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "eta_timeseries[0:24*1].hvplot(rasterize=True, colormap='RdBu_r', width=900, height=400,clim=(-2,2))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Sea Level Variability\n", - "\n", - "We can examine the natural variability in sea level by looking at its standard deviation in time. \n", - "\n", - "This is another expansive calculation. It will fail if you run it on VDI with \"out of memory\" error message, but you can get results on Gadi. \n", - "\n", - "Depend on how much memory you allocate to this instance, when exceeding memory the worker will automatically restart until enough memory is re-allocated. " - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 2.01 s, sys: 438 ms, total: 2.45 s\n", - "Wall time: 32.3 s\n" - ] - } - ], - "source": [ - "%%time\n", - "temp_std = ds.sel(time=slice(\"2011-01-01\", \"2011-01-07\")).temp.std(dim='time').load()\n", - "temp_std.name = 'Sea Surface Tempreture Variability [C]'" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/pp66/jbw900/public/apps/holoviews/plotting/util.py:685: MatplotlibDeprecationWarning: The global colormaps dictionary is no longer considered public API.\n", - " [cmap for cmap in cm.cmap_d if not\n" - ] - }, - { - "data": {}, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.holoviews_exec.v0+json": "", - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "
\n", - "" - ], - "text/plain": [ - ":DynamicMap []\n", - " :NdOverlay [Element]\n", - " :Histogram [Sea Surface Tempreture Variability [C]] (Sea Surface Tempreture Variability [C]_count)" - ] - }, - "execution_count": 9, - "metadata": { - "application/vnd.holoviews_exec.v0+json": { - "id": "1197" - } - }, - "output_type": "execute_result" - } - ], - "source": [ - "temp_std.hvplot(colormap='viridis', width=900, height=550, rasterize=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_13_distributed_dataframes_geochem-checkpoint.ipynb b/.ipynb_checkpoints/Dask_13_distributed_dataframes_geochem-checkpoint.ipynb deleted file mode 100755 index bd54ce9..0000000 --- a/.ipynb_checkpoints/Dask_13_distributed_dataframes_geochem-checkpoint.ipynb +++ /dev/null @@ -1,1278 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Distributed DataFrames and Efficiency\n", - "\n", - "In the previous notebooks we discussed `dask.dataframe` and `dask.distributed`. Here we combine them on a different dataset while moving from local to distributed computing, and discuss efficiency and performance tips. \n", - "\n", - "We will cover the following topics:\n", - "\n", - "1. Persist common intermediate results in memory with `persist`\n", - "2. Partitions and partition size\n", - "3. Using indices to improve efficiency\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, DataFrames, Distributed, Performance\n", - "- Create Date: 2020-Sep\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "-----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Environment setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose the appropriate one from the following two senarios (1) local or VDI (2) Pangeo on Gadi:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 43079 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# local or VDI\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# Pangeo on Gadi\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Moving to distributed\n", - "\n", - " 1) Environment: Each worker is a separate machine, and needs to have the required libraries installed.\n", - "\n", - " 2) File system: In the local mode, every worker (threads, processes, or even the distributed scheduler) had access to your laptops file system. In a distributed environment, you'll need some kind of shared file system to read data (cloud storage or a global file system)\n", - "\n", - " 3) Communication: Moving data between machines is relatively expensive. When possible, the distributed scheduler will ensure that tasks are scheduled to be run on workers that already have the required data. But some tasks will require data from multiple machines.\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## The Geochemistry dataset\n", - "\n", - "OZCHEM is Geoscience Australia's national whole-rock geochemical database. This release of OZCHEM contains over 50000 analyses of rocks, regolith and stream sediments from many regions of Australia. Each analysis includes a geographic location and a geological description, which includes the host stratigraphic unit, where known, and the lithology. Most samples have been collected by Geoscience Australia's field parties. OZCHEM is stored in an ORACLE relational database and is available in comma-delimited flat ASCII format. The data set is also bundled with documentation explaining the database structure and includes definitions of the database tables and columns (attributes). It has been downloaded and stored in our `demo_data` directory. Please see details about this dataset in the [catalogue](https://ecat.ga.gov.au/geonetwork/srv/eng/catalog.search#/metadata/65464).\n", - "\n", - "The geochemistry dataset was downloaded from Geoscience Australia. The tweak that I did is to capitalise all the \"Qld\" in the state column in the QLD csv file. " - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/g/data/dk92/notebooks/demo_data/Geochem/65464_act/Geochemistry_ACT_10_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_nsw/Geochemistry_NSW_11_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_nt/Geochemistry_NT_10_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_qld/Geochemistry_QLD_10_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_sa/Geochemistry_SA_10_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_tas/Geochemistry_TAS_11_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_vic/Geochemistry_VIC_11_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_wa/Geochemistry_WA_10_10_2007.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Geochem/65464_wa/Geochemistry_WA_10_10_20071.csv']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from glob import glob\n", - "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/Geochem/65464*/*.csv'))\n", - "filenames" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Read all the data into a single `dask.dataframe` object by stacking all csv files as partitions. Have a peek at the first five samples to get an idea what the properties of the samples were tested and recorded." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "import dask.dataframe as dd\n", - "\n", - "df = dd.read_csv('/g/data/dk92/notebooks/demo_data/Geochem/65464*/*.csv', dtype={'geogarea': 'object',\n", - " 'hmapno': 'float64',\n", - " 'utm_zone': 'float64'},encoding='latin1')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note `latin1` will decode anything because it maps every byte to a Unicode code point. Ignore this argument will result the WA data not readable." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
uidenositeidstatecountrygeogarealocdeschmapnoqmapideasting...ThTiTmUVWYYbZnZr
0110575579620142ACTAustraliaNaNsame location as 01438727.0SI5516688912.433...15.0NaNNaN-3.095.06.034.0NaN51.0184.0
1210575679620143ACTAustraliaNaNsame location as 01428727.0SI5516688912.433...15.0NaNNaN-3.035.0-5.029.0NaN56.0225.0
2310942179620862ACTAustraliaNaNNaN8627.0SI5516678812.457...17.0NaNNaN-3.049.0-5.034.0NaN179.0201.0
3410942279620863ACTAustraliaNaNNaN8627.0SI5516663412.482...30.0NaNNaN12.011.015.067.0NaN11.0113.0
4510942479620864ACTAustraliaNaNNaN8627.0SI5516674412.476...24.0NaNNaN4.053.05.048.0NaN34.0188.0
\n", - "

5 rows × 113 columns

\n", - "
" - ], - "text/plain": [ - " uid eno siteid state country geogarea locdesc \\\n", - "0 1 105755 79620142 ACT Australia NaN same location as 0143 \n", - "1 2 105756 79620143 ACT Australia NaN same location as 0142 \n", - "2 3 109421 79620862 ACT Australia NaN NaN \n", - "3 4 109422 79620863 ACT Australia NaN NaN \n", - "4 5 109424 79620864 ACT Australia NaN NaN \n", - "\n", - " hmapno qmapid easting ... Th Ti Tm U V W Y Yb \\\n", - "0 8727.0 SI5516 688912.433 ... 15.0 NaN NaN -3.0 95.0 6.0 34.0 NaN \n", - "1 8727.0 SI5516 688912.433 ... 15.0 NaN NaN -3.0 35.0 -5.0 29.0 NaN \n", - "2 8627.0 SI5516 678812.457 ... 17.0 NaN NaN -3.0 49.0 -5.0 34.0 NaN \n", - "3 8627.0 SI5516 663412.482 ... 30.0 NaN NaN 12.0 11.0 15.0 67.0 NaN \n", - "4 8627.0 SI5516 674412.476 ... 24.0 NaN NaN 4.0 53.0 5.0 48.0 NaN \n", - "\n", - " Zn Zr \n", - "0 51.0 184.0 \n", - "1 56.0 225.0 \n", - "2 179.0 201.0 \n", - "3 11.0 113.0 \n", - "4 34.0 188.0 \n", - "\n", - "[5 rows x 113 columns]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's what are those 113 properties of the rock sample." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['uid', 'eno', 'siteid', 'state', 'country', 'geogarea', 'locdesc',\n", - " 'hmapno', 'qmapid', 'easting',\n", - " ...\n", - " 'Th', 'Ti', 'Tm', 'U', 'V', 'W', 'Y', 'Yb', 'Zn', 'Zr'],\n", - " dtype='object', length=113)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "state\n", - "ACT 197\n", - "NSW 8697\n", - "NT 13165\n", - "QLD 21948\n", - "SA 2734\n", - "TAS 1189\n", - "VIC 1287\n", - "WA 35557\n", - "Name: uid, dtype: int64" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "a = df.groupby('state').uid.count()\n", - "a.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Let's have a look at the sample distribution across Australia.\n", - "\n", - "**Please note that the following cell requires a download of costline, hence does not work within Pangeo environment on Gadi as it is restricted to compute nodes with no external access. However, this piece of code would work on local computer, VDI and Gadi login node.**" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cf\n", - "%matplotlib inline\n", - "\n", - "fig = plt.figure(figsize=(10,10))\n", - "ax = plt.axes(projection = ccrs.PlateCarree())\n", - "ax.stock_img()\n", - "ax.add_feature(cf.COASTLINE)\n", - "extent = [112,155,-43,-9]\n", - "ax.set_extent(extent)\n", - "ax.coastlines(resolution='50m')\n", - "ax.set_title(\"Geochemistry Samples Distribution Colorscaled by Fe2O3\")\n", - "splot = plt.scatter(df.longitude.compute(),df.latitude.compute(),c=0.1*df.Fe2O3.compute())\n", - "fig.colorbar(splot, shrink=0.3)\n", - "ax.set_xlabel('lat')\n", - "ax.set_ylabel('lon')\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Persist data in distributed memory\n", - "\n", - "Every time we run an operation like `df.longitude.compute()` we read through our dataset from disk. This can be slow, especially because we're reading data from CSV. We usually have two options to make this faster:\n", - "\n", - "1. Persist relevant data in memory, either on our computer or on a cluster\n", - "2. Use a faster on-disk format, like HDF5 or Parquet\n", - "\n", - "In this section we persist our data in memory. On a single machine this is often done by doing a bit of pre-processing and data reduction with dask dataframe and then `compute`-ing to a Pandas dataframe and using Pandas in the future. \n", - "\n", - "```python\n", - "df = dd.read_csv(...)\n", - "df = df[df.Origin == 'LGA'] # filter down to smaller dataset\n", - "pdf = df.compute() # convert to pandas\n", - "pdf ... # continue with familiar Pandas workflows\n", - "```\n", - "\n", - "However on a distributed cluster when even our cleaned data is too large we still can't use Pandas. In this case we ask Dask to persist data in memory with the `dask.persist` function. This is what the next cell does. This will help us to understand when data is lazy and when it is computing.\n", - "\n", - "You can trigger computations using the persist method:\n", - "\n", - " x = x.persist()\n", - "\n", - "or the dask.persist function for multiple inputs:\n", - "\n", - " x, y = dask.persist(x, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Let's compare before and after we persist the dataframe into memory." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 153 ms, sys: 26.9 ms, total: 180 ms\n", - "Wall time: 882 ms\n" - ] - } - ], - "source": [ - "%time _ = df.longitude.compute()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "df = df.persist()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 135 ms, sys: 24.3 ms, total: 159 ms\n", - "Wall time: 1.04 s\n" - ] - } - ], - "source": [ - "%time _ = df.longitude.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, look at the plots in the diagnostic dashboard, what is taking up most of the time? (You can stop over rectangles to see what function they represent)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Partitions\n", - "\n", - "One `dask.dataframe` is composed of several Pandas dataframes. The organization of these dataframes can significantly impact performance. In this section we discuss two common factors that commonly impact performance:\n", - "\n", - "1. The number of Pandas dataframes can affect overhead. If the dataframes are too small then Dask might spend more time deciding what to do than Pandas spends actually doing it. Ideally computations should take 100's of milliseconds.\n", - "\n", - "2. If we know how the dataframes are sorted then certain operations become much faster." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Number of partitions and partition size\n", - "\n", - "When we read in our data from CSV files we get potentially multiple Pandas dataframe for each file. Look at the metadata below to determine a few things about the current partitioning:\n", - "- How many partitions are there?\n", - "- Are the splits along the index between partitions known? If so, what are they?" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "9" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Number of partitions\n", - "df.npartitions" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "False" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Are the splits between partitions known?\n", - "df.known_divisions" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(None, None, None, None, None, None, None, None, None, None)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# The splits between partitions. If unknown these are all `None`\n", - "df.divisions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sorted Index column\n", - "\n", - "Many dataframe operations like loc-indexing, groupby-apply, and joins are *much* faster on a sorted index. For example, if we want to get data for a particular day of data it *really* helps to know where that day is, otherwise we need to search over all of our data.\n", - "\n", - "The Pandas model gives us a sorted index column. `Dask.dataframe` copies this model, and it remembers the min and max values of every partition's index.\n", - "\n", - "By default, our data doesn't have an index." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
uidenositeidstatecountrygeogarealocdeschmapnoqmapideasting...ThTiTmUVWYYbZnZr
0110575579620142ACTAustraliaNaNsame location as 01438727.0SI5516688912.433...15.0NaNNaN-3.095.06.034.0NaN51.0184.0
1210575679620143ACTAustraliaNaNsame location as 01428727.0SI5516688912.433...15.0NaNNaN-3.035.0-5.029.0NaN56.0225.0
2310942179620862ACTAustraliaNaNNaN8627.0SI5516678812.457...17.0NaNNaN-3.049.0-5.034.0NaN179.0201.0
3410942279620863ACTAustraliaNaNNaN8627.0SI5516663412.482...30.0NaNNaN12.011.015.067.0NaN11.0113.0
4510942479620864ACTAustraliaNaNNaN8627.0SI5516674412.476...24.0NaNNaN4.053.05.048.0NaN34.0188.0
\n", - "

5 rows × 113 columns

\n", - "
" - ], - "text/plain": [ - " uid eno siteid state country geogarea locdesc \\\n", - "0 1 105755 79620142 ACT Australia NaN same location as 0143 \n", - "1 2 105756 79620143 ACT Australia NaN same location as 0142 \n", - "2 3 109421 79620862 ACT Australia NaN NaN \n", - "3 4 109422 79620863 ACT Australia NaN NaN \n", - "4 5 109424 79620864 ACT Australia NaN NaN \n", - "\n", - " hmapno qmapid easting ... Th Ti Tm U V W Y Yb \\\n", - "0 8727.0 SI5516 688912.433 ... 15.0 NaN NaN -3.0 95.0 6.0 34.0 NaN \n", - "1 8727.0 SI5516 688912.433 ... 15.0 NaN NaN -3.0 35.0 -5.0 29.0 NaN \n", - "2 8627.0 SI5516 678812.457 ... 17.0 NaN NaN -3.0 49.0 -5.0 34.0 NaN \n", - "3 8627.0 SI5516 663412.482 ... 30.0 NaN NaN 12.0 11.0 15.0 67.0 NaN \n", - "4 8627.0 SI5516 674412.476 ... 24.0 NaN NaN 4.0 53.0 5.0 48.0 NaN \n", - "\n", - " Zn Zr \n", - "0 51.0 184.0 \n", - "1 56.0 225.0 \n", - "2 179.0 201.0 \n", - "3 11.0 113.0 \n", - "4 34.0 188.0 \n", - "\n", - "[5 rows x 113 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.head()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So if we search for a particular sample it takes a while because it has to pass through all of the data." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 46.5 ms, sys: 5.84 ms, total: 52.4 ms\n", - "Wall time: 129 ms\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
uidenositeidstatecountrygeogarealocdeschmapnoqmapideasting...ThTiTmUVWYYbZnZr
19220738542168590046QLDAustraliaCoastal Ranges Igneous Province: Hodgkinson re...Simpson Point on Cook Highway, 11km N of Kuranda8064.0SE5502355845.667...17.0NaNNaN3.0NaNNaN35.0NaN69.0194.0
\n", - "

1 rows × 113 columns

\n", - "
" - ], - "text/plain": [ - " uid eno siteid state country \\\n", - "19 22073 85421 68590046 QLD Australia \n", - "\n", - " geogarea \\\n", - "19 Coastal Ranges Igneous Province: Hodgkinson re... \n", - "\n", - " locdesc hmapno qmapid \\\n", - "19 Simpson Point on Cook Highway, 11km N of Kuranda 8064.0 SE5502 \n", - "\n", - " easting ... Th Ti Tm U V W Y Yb Zn Zr \n", - "19 355845.667 ... 17.0 NaN NaN 3.0 NaN NaN 35.0 NaN 69.0 194.0 \n", - "\n", - "[1 rows x 113 columns]" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time df[df.sampleid == '68590046'].compute()" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[df.sampleid == '68590046'].visualize(optimize_graph=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "However if we set the `sampleid` column as the index then this operation can be much faster.\n", - "\n", - "Calling `set_index` followed by `persist` results in a new set of dataframe partitions stored in memory, sorted along the index column. To do this dask has to\n", - "\n", - "- Shuffle the data by sampleid, resulting in the same number of output partitions\n", - "- Set the index for each partition\n", - "- Store the resulting partitions in distributed memory\n", - "\n", - "This can be a (relatively) expensive operation, but allows certain queries to be more optimized. \n", - "\n", - "Watch the diagnostics page while the next line is running to see how the shuffle and index operation progresses." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 8.76 ms, sys: 0 ns, total: 8.76 ms\n", - "Wall time: 16.3 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "df = df.persist()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Repeating the same query for a specific sample, we can see that we're faster after setting the index:" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Index(['uid', 'eno', 'siteid', 'state', 'country', 'geogarea', 'locdesc',\n", - " 'hmapno', 'qmapid', 'easting',\n", - " ...\n", - " 'Th', 'Ti', 'Tm', 'U', 'V', 'W', 'Y', 'Yb', 'Zn', 'Zr'],\n", - " dtype='object', length=113)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.columns" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 50.4 ms, sys: 11.3 ms, total: 61.7 ms\n", - "Wall time: 150 ms\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
uidenositeidstatecountrygeogarealocdeschmapnoqmapideasting...ThTiTmUVWYYbZnZr
19220738542168590046QLDAustraliaCoastal Ranges Igneous Province: Hodgkinson re...Simpson Point on Cook Highway, 11km N of Kuranda8064.0SE5502355845.667...17.0NaNNaN3.0NaNNaN35.0NaN69.0194.0
\n", - "

1 rows × 113 columns

\n", - "
" - ], - "text/plain": [ - " uid eno siteid state country \\\n", - "19 22073 85421 68590046 QLD Australia \n", - "\n", - " geogarea \\\n", - "19 Coastal Ranges Igneous Province: Hodgkinson re... \n", - "\n", - " locdesc hmapno qmapid \\\n", - "19 Simpson Point on Cook Highway, 11km N of Kuranda 8064.0 SE5502 \n", - "\n", - " easting ... Th Ti Tm U V W Y Yb Zn Zr \n", - "19 355845.667 ... 17.0 NaN NaN 3.0 NaN NaN 35.0 NaN 69.0 194.0 \n", - "\n", - "[1 rows x 113 columns]" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time df[df.sampleid == '68590046'].compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If you look at the resulting graph, you can see that dask was able to optimize the computation to only look at a single partition:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "NOTE: Another useful application of setting index for performance opertimisation is shuffling the data using the date as the index.
\n" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "# clean up, when finished with the notebook\n", - "client.close()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_14_distributed_advanced-checkpoint.ipynb b/.ipynb_checkpoints/Dask_14_distributed_advanced-checkpoint.ipynb deleted file mode 100755 index 231b704..0000000 --- a/.ipynb_checkpoints/Dask_14_distributed_advanced-checkpoint.ipynb +++ /dev/null @@ -1,2148 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# More about Distributed Computing\n", - "\n", - "In this section we demonstrate more advanced dask distributed utilities.\n", - "\n", - "* Distributed futures\n", - "* Persist\n", - "* Asynchronous computation\n", - "* Debugging\n", - "* Discussion on setting up how many number of dask workders\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Distributed\n", - "- Create Date: 2020-Sep\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "-----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Distributed futures\n", - "\n", - "Choose the appropriate one from the following two options:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 36347 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

Client

\n", - "\n", - "
\n", - "

Cluster

\n", - "
    \n", - "
  • Workers: 4
  • \n", - "
  • Cores: 8
  • \n", - "
  • Memory: 33.56 GB
  • \n", - "
\n", - "
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Local or VDI\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "client" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py:1079: VersionMismatchWarning: Mismatched versions found\n", - "\n", - "numpy\n", - "+------------------------+---------+\n", - "| | version |\n", - "+------------------------+---------+\n", - "| client | 1.19.2 |\n", - "| scheduler | 1.19.2 |\n", - "| tcp://10.6.42.26:33367 | 1.17.2 |\n", - "| tcp://10.6.42.26:33483 | 1.17.2 |\n", - "| tcp://10.6.42.26:33575 | 1.17.2 |\n", - "| tcp://10.6.42.26:33617 | 1.17.2 |\n", - "| tcp://10.6.42.26:33677 | 1.17.2 |\n", - "| tcp://10.6.42.26:34391 | 1.17.2 |\n", - "| tcp://10.6.42.26:34421 | 1.17.2 |\n", - "| tcp://10.6.42.26:34695 | 1.17.2 |\n", - "| tcp://10.6.42.26:35221 | 1.17.2 |\n", - "| tcp://10.6.42.26:35345 | 1.17.2 |\n", - "| tcp://10.6.42.26:35619 | 1.17.2 |\n", - "| tcp://10.6.42.26:36633 | 1.17.2 |\n", - "| tcp://10.6.42.26:37599 | 1.17.2 |\n", - "| tcp://10.6.42.26:38127 | 1.17.2 |\n", - "| tcp://10.6.42.26:38155 | 1.17.2 |\n", - "| tcp://10.6.42.26:38203 | 1.17.2 |\n", - "| tcp://10.6.42.26:38789 | 1.17.2 |\n", - "| tcp://10.6.42.26:39195 | 1.17.2 |\n", - "| tcp://10.6.42.26:39537 | 1.17.2 |\n", - "| tcp://10.6.42.26:40209 | 1.17.2 |\n", - "| tcp://10.6.42.26:40431 | 1.17.2 |\n", - "| tcp://10.6.42.26:41009 | 1.17.2 |\n", - "| tcp://10.6.42.26:41095 | 1.17.2 |\n", - "| tcp://10.6.42.26:41633 | 1.17.2 |\n", - "| tcp://10.6.42.26:41775 | 1.17.2 |\n", - "| tcp://10.6.42.26:41819 | 1.17.2 |\n", - "| tcp://10.6.42.26:41865 | 1.17.2 |\n", - "| tcp://10.6.42.26:42077 | 1.17.2 |\n", - "| tcp://10.6.42.26:42205 | 1.17.2 |\n", - "| tcp://10.6.42.26:42223 | 1.17.2 |\n", - "| tcp://10.6.42.26:42385 | 1.17.2 |\n", - "| tcp://10.6.42.26:42829 | 1.17.2 |\n", - "| tcp://10.6.42.26:42927 | 1.17.2 |\n", - "| tcp://10.6.42.26:43181 | 1.17.2 |\n", - "| tcp://10.6.42.26:43409 | 1.17.2 |\n", - "| tcp://10.6.42.26:43837 | 1.17.2 |\n", - "| tcp://10.6.42.26:43869 | 1.17.2 |\n", - "| tcp://10.6.42.26:43953 | 1.17.2 |\n", - "| tcp://10.6.42.26:44203 | 1.17.2 |\n", - "| tcp://10.6.42.26:44765 | 1.17.2 |\n", - "| tcp://10.6.42.26:44977 | 1.17.2 |\n", - "| tcp://10.6.42.26:45137 | 1.17.2 |\n", - "| tcp://10.6.42.26:45157 | 1.17.2 |\n", - "| tcp://10.6.42.26:45375 | 1.17.2 |\n", - "| tcp://10.6.42.26:45591 | 1.17.2 |\n", - "| tcp://10.6.42.26:45957 | 1.17.2 |\n", - "| tcp://10.6.42.26:46113 | 1.17.2 |\n", - "| tcp://10.6.42.26:46207 | 1.17.2 |\n", - "| tcp://10.6.42.35:32793 | 1.17.2 |\n", - "| tcp://10.6.42.35:32941 | 1.17.2 |\n", - "| tcp://10.6.42.35:33087 | 1.17.2 |\n", - "| tcp://10.6.42.35:33109 | 1.17.2 |\n", - "| tcp://10.6.42.35:33405 | 1.17.2 |\n", - "| tcp://10.6.42.35:33703 | 1.17.2 |\n", - "| tcp://10.6.42.35:33753 | 1.17.2 |\n", - "| tcp://10.6.42.35:34335 | 1.17.2 |\n", - "| tcp://10.6.42.35:34519 | 1.17.2 |\n", - "| tcp://10.6.42.35:34829 | 1.17.2 |\n", - "| tcp://10.6.42.35:35037 | 1.17.2 |\n", - "| tcp://10.6.42.35:35253 | 1.17.2 |\n", - "| tcp://10.6.42.35:35451 | 1.17.2 |\n", - "| tcp://10.6.42.35:35563 | 1.17.2 |\n", - "| tcp://10.6.42.35:35989 | 1.17.2 |\n", - "| tcp://10.6.42.35:36053 | 1.17.2 |\n", - "| tcp://10.6.42.35:36929 | 1.17.2 |\n", - "| tcp://10.6.42.35:37035 | 1.17.2 |\n", - "| tcp://10.6.42.35:37437 | 1.17.2 |\n", - "| tcp://10.6.42.35:37457 | 1.17.2 |\n", - "| tcp://10.6.42.35:38119 | 1.17.2 |\n", - "| tcp://10.6.42.35:38257 | 1.17.2 |\n", - "| tcp://10.6.42.35:38295 | 1.17.2 |\n", - "| tcp://10.6.42.35:39087 | 1.17.2 |\n", - "| tcp://10.6.42.35:39165 | 1.17.2 |\n", - "| tcp://10.6.42.35:39283 | 1.17.2 |\n", - "| tcp://10.6.42.35:39341 | 1.17.2 |\n", - "| tcp://10.6.42.35:39497 | 1.17.2 |\n", - "| tcp://10.6.42.35:39571 | 1.17.2 |\n", - "| tcp://10.6.42.35:39761 | 1.17.2 |\n", - "| tcp://10.6.42.35:40151 | 1.17.2 |\n", - "| tcp://10.6.42.35:40477 | 1.17.2 |\n", - "| tcp://10.6.42.35:40929 | 1.17.2 |\n", - "| tcp://10.6.42.35:41247 | 1.17.2 |\n", - "| tcp://10.6.42.35:41273 | 1.17.2 |\n", - "| tcp://10.6.42.35:41895 | 1.17.2 |\n", - "| tcp://10.6.42.35:42211 | 1.17.2 |\n", - "| tcp://10.6.42.35:42643 | 1.17.2 |\n", - "| tcp://10.6.42.35:43091 | 1.17.2 |\n", - "| tcp://10.6.42.35:43247 | 1.17.2 |\n", - "| tcp://10.6.42.35:43605 | 1.17.2 |\n", - "| tcp://10.6.42.35:43659 | 1.17.2 |\n", - "| tcp://10.6.42.35:43843 | 1.17.2 |\n", - "| tcp://10.6.42.35:44411 | 1.17.2 |\n", - "| tcp://10.6.42.35:44835 | 1.17.2 |\n", - "| tcp://10.6.42.35:45541 | 1.17.2 |\n", - "| tcp://10.6.42.35:45907 | 1.17.2 |\n", - "| tcp://10.6.42.35:46217 | 1.17.2 |\n", - "+------------------------+---------+\n", - " warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n" - ] - } - ], - "source": [ - "# Pangeo on Gadi\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In chapter Distributed, we showed that executing a calculation (created using delayed) with the distributed executor is identical to any other executor. However, we now have access to additional functionality, and control over what data is held in memory.\n", - "\n", - "To begin, the `futures` interface (derived from the built-in `concurrent.futures`) allow map-reduce like functionality. We can submit individual functions for evaluation with one set of inputs, or evaluated over a sequence of inputs with `submit()` and `map()`. Notice that the call returns immediately, giving one or more *futures*, whose status begins as \"pending\" and later becomes \"finished\". There is no blocking of the local Python session." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here is the simplest example of `submit` in action:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Future: inc status: pending, key: inc-c63fb5dd6ab2a97178745c19270eeee2" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "def inc(x):\n", - " return x + 1\n", - "\n", - "fut = client.submit(inc, 1)\n", - "fut" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can re-execute the following cell as often as we want as a way to poll the status of the future. This could of course be done in a loop, pausing for a short time on each iteration. We could continue with our work, or view a progressbar of work still going on, or force a wait until the future is ready. \n", - "\n", - "In the meantime, the `status` dashboard (link above next to the Cluster widget) has gained a new element in the task stream, indicating that `inc()` has completed, and the progress section at the bottom shows one task complete and held in memory." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Future: inc status: finished, type: builtins.int, key: inc-c63fb5dd6ab2a97178745c19270eeee2" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "fut" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Possible alternatives you could investigate:\n", - "```python\n", - "from dask.distributed import wait, progress\n", - "progress(fut)\n", - "```\n", - "would show a progress bar in *this* notebook, rather than having to go to the dashboard. This progress bar is also asynchronous, and doesn't block the execution of other code in the meanwhile.\n", - "\n", - "```python\n", - "wait(fut)\n", - "```\n", - "would block and force the notebook to wait until the computation pointed to by `fut` was done. However, note that the result of `inc()` is sitting in the cluster, it would take **no time** to execute the computation now, because Dask notices that we are asking for the result of a computation it already knows about. More on this later." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "2" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# grab the information back - this blocks if fut is not ready\n", - "client.gather(fut)\n", - "# equivalent action when only considering a single future\n", - "fut.result()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Here we see an alternative way to execute work on the cluster: when you submit or map with the inputs as futures, the *computation moves to the data* rather than the other way around, and the client, in the local Python session, need never see the intermediate values. This is similar to building the graph using delayed, and indeed, delayed can be used in conjunction with futures. Here we use the delayed object `total` from before." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Some trivial work that takes time\n", - "# repeated from the Distributed chapter.\n", - "\n", - "from dask import delayed\n", - "import time\n", - "\n", - "def inc(x):\n", - " time.sleep(5)\n", - " return x + 1\n", - "\n", - "def double(x):\n", - " time.sleep(3)\n", - " return x * 2\n", - "\n", - "def add(x, y):\n", - " time.sleep(7)\n", - " return x + y\n", - "\n", - "x = delayed(inc)(1)\n", - "y = delayed(double)(2)\n", - "total = delayed(add)(x, y)" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Future: add status: pending, key: add-c63734a5-9b8a-46df-88bc-3453196e798e" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# notice the difference from total.compute()\n", - "# notice that this cell completes immediately\n", - "fut = client.compute(total)\n", - "fut" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "client.gather(fut) # waits until result is ready" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### `Client.submit`\n", - "\n", - "`submit` takes a function and arguments, pushes these to the cluster, returning a *Future* representing the result to be computed. The function is passed to a worker process for evaluation. Note that this cell returns immediately, while computation may still be ongoing on the cluster." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Future: inc status: pending, key: inc-eca70976272b507889f5aa5954e664a7" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "fut = client.submit(inc, 1)\n", - "fut" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This looks a lot like doing `compute()`, above, except now we are passing the function and arguments directly to the cluster. To anyone used to `concurrent.futures`, this will look familiar. This new `fut` behaves the same way as the one above. Note that we have now over-written the previous definition of `fut`, which will get garbage-collected, and, as a result, that previous result is released by the cluster.\n", - "\n", - "### Rebuild the above delayed computation using `Client.submit` instead\n", - "\n", - "The arguments passed to `submit` can be futures from other submit operations or delayed objects. The former, in particular, demonstrated the concept of *moving the computation to the data* which is one of the most powerful elements of programming with Dask.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "text/plain": [ - "6" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "x = client.submit(inc, 1)\n", - "y = client.submit(double, 2)\n", - "total = client.submit(add, x, y)\n", - "\n", - "print(total) # This is still a future\n", - "client.gather(total) # This blocks until the computation has finished" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Each future represents a result held, or being evaluated by the cluster. Thus we can control caching of intermediate values - when a future is no longer referenced, its value is forgotten. In the solution above, futures are held for each of the function calls. These results would not need to be re-evaluated if we chose to submit more work that needed them.\n", - "\n", - "We can explicitly pass data from our local session into the cluster using `scatter()`, but usually better is to construct functions that do the loading of data within the workers themselves, so that there is no need to serialise and communicate the data. Most of the loading functions within Dask, such as `dd.read_csv`, work this way. Similarly, we normally don't want to `gather()` results that are too big in memory.\n", - "\n", - "The [full API](http://distributed.readthedocs.io/en/latest/api.html) of the distributed scheduler gives details of interacting with the cluster, which remember, can be on your local machine or possibly on a massive computational resource. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Submit many tasks\n", - "\n", - "We submit many tasks that depend on each other in a normal Python for loop:" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "zs = []\n", - "for i in range(256):\n", - " x = client.submit(inc, i) # x = inc(i)\n", - " y = client.submit(double, x) # y = inc(x)\n", - " z = client.submit(add, x, y) # z = inc(y)\n", - " zs.append(z)\n", - " \n", - "zs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The task above may take tens of seconds. If you refresh future object zs during the computation, you will see the status of each future objects is updated whenver the task is complete." - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "zs" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Custom computation: Tree summation\n", - "\n", - "As an example of a non-trivial algorithm, consider the classic tree reduction. We accomplish this with a nested for loop and a bit of normal Python logic. Below we can visulisa the whole process.\n", - "\n", - "```\n", - "finish total single output\n", - " ^ / \\\n", - " | c1 c2 neighbors merge\n", - " | / \\ / \\\n", - " | b1 b2 b3 b4 neighbors merge\n", - " ^ / \\ / \\ / \\ / \\\n", - "start a1 a2 a3 a4 a5 a6 a7 a8 many inputs\n", - "```" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dask import delayed, visualize\n", - "\n", - "L = zs\n", - "while len(L) > 1:\n", - " new_L = []\n", - " for i in range(0, len(L), 2):\n", - " future = delayed(add)(L[i], L[i + 1]) # add neighbors\n", - " new_L.append(future)\n", - " L = new_L # swap old list for new\n", - " \n", - "visualize(*L)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Persist" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Considering which data should be loaded by the workers, as opposed to passed, and which intermediate values to persist in worker memory, will in many cases determine the computation efficiency of a process.\n", - "\n", - "In the example here, we repeat a calculation from the Array example - notice that each call to `compute()` is roughly the same speed, because the loading of the data is included every time." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 181 ms, sys: 4.26 ms, total: 185 ms\n", - "Wall time: 12.4 s\n" - ] - }, - { - "data": { - "text/plain": [ - "999999100.0" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import h5py\n", - "import os\n", - "f = h5py.File(os.path.join('/g/data/dk92/notebooks/demo_data', 'random.hdf5'), mode='r')\n", - "dset = f['/x']\n", - "import dask.array as da\n", - "x = da.from_array(dset, chunks=(1000000,))\n", - "\n", - "%time x.sum().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If, instead, we persist the data to RAM up front (this takes a few seconds to complete - we could `wait()` on this process), then further computations will be much faster." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "# changes x from a set of delayed prescriptions to a set of futures pointing to data in RAM\n", - "# See this on the UI dashboard.\n", - "x = client.persist(x)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 208 ms, sys: 2.34 ms, total: 211 ms\n", - "Wall time: 881 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "999999100.0" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time x.sum().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Naturally, persisting every intermediate along the way is a bad idea, because this will tend to fill up all available RAM and make the whole system slow (or break!). The ideal persist point is often at the end of a set of data cleaning steps, when the data is in a form which will get queried often. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Asynchronous computation\n", - "\n", - "\n", - "One benefit of using the futures API is that you can have dynamic computations that adjust as things progress. Here we implement a simple naive search by looping through results as they come in, and submit new points to compute as others are still running.\n", - "\n", - "Watching the diagnostics dashboard as this runs you can see computations are being concurrently run while more are being submitted. This flexibility can be useful for parallel algorithms that require some level of synchronization.\n", - "\n", - "Lets perform a very simple minimization using dynamic programming. The function of interest is known as Rosenbrock:" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "# a simple function with interesting minima\n", - "import time\n", - "\n", - "def rosenbrock(point):\n", - " \"\"\"Compute the rosenbrock function and return the point and result\"\"\"\n", - " time.sleep(0.1)\n", - " score = (1 - point[0])**2 + 2 * (point[1] - point[0]**2)**2\n", - " return point, score" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Initial setup, including creating a graphical figure. We use Bokeh for this, which allows for dynamic update of the figure as results come in. " - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "
\n", - " \n", - " Loading BokehJS ...\n", - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "\n", - "(function(root) {\n", - " function now() {\n", - " return new Date();\n", - " }\n", - "\n", - " var force = true;\n", - "\n", - " if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n", - " root._bokeh_onload_callbacks = [];\n", - " root._bokeh_is_loading = undefined;\n", - " }\n", - "\n", - " var JS_MIME_TYPE = 'application/javascript';\n", - " var HTML_MIME_TYPE = 'text/html';\n", - " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n", - " var CLASS_NAME = 'output_bokeh rendered_html';\n", - "\n", - " /**\n", - " * Render data to the DOM node\n", - " */\n", - " function render(props, node) {\n", - " var script = document.createElement(\"script\");\n", - " node.appendChild(script);\n", - " }\n", - "\n", - " /**\n", - " * Handle when an output is cleared or removed\n", - " */\n", - " function handleClearOutput(event, handle) {\n", - " var cell = handle.cell;\n", - "\n", - " var id = cell.output_area._bokeh_element_id;\n", - " var server_id = cell.output_area._bokeh_server_id;\n", - " // Clean up Bokeh references\n", - " if (id != null && id in Bokeh.index) {\n", - " Bokeh.index[id].model.document.clear();\n", - " delete Bokeh.index[id];\n", - " }\n", - "\n", - " if (server_id !== undefined) {\n", - " // Clean up Bokeh references\n", - " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n", - " cell.notebook.kernel.execute(cmd, {\n", - " iopub: {\n", - " output: function(msg) {\n", - " var id = msg.content.text.trim();\n", - " if (id in Bokeh.index) {\n", - " Bokeh.index[id].model.document.clear();\n", - " delete Bokeh.index[id];\n", - " }\n", - " }\n", - " }\n", - " });\n", - " // Destroy server and session\n", - " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n", - " cell.notebook.kernel.execute(cmd);\n", - " }\n", - " }\n", - "\n", - " /**\n", - " * Handle when a new output is added\n", - " */\n", - " function handleAddOutput(event, handle) {\n", - " var output_area = handle.output_area;\n", - " var output = handle.output;\n", - "\n", - " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n", - " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n", - " return\n", - " }\n", - "\n", - " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n", - "\n", - " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n", - " toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n", - " // store reference to embed id on output_area\n", - " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n", - " }\n", - " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n", - " var bk_div = document.createElement(\"div\");\n", - " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n", - " var script_attrs = bk_div.children[0].attributes;\n", - " for (var i = 0; i < script_attrs.length; i++) {\n", - " toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n", - " toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n", - " }\n", - " // store reference to server id on output_area\n", - " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n", - " }\n", - " }\n", - "\n", - " function register_renderer(events, OutputArea) {\n", - "\n", - " function append_mime(data, metadata, element) {\n", - " // create a DOM node to render to\n", - " var toinsert = this.create_output_subarea(\n", - " metadata,\n", - " CLASS_NAME,\n", - " EXEC_MIME_TYPE\n", - " );\n", - " this.keyboard_manager.register_events(toinsert);\n", - " // Render to node\n", - " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n", - " render(props, toinsert[toinsert.length - 1]);\n", - " element.append(toinsert);\n", - " return toinsert\n", - " }\n", - "\n", - " /* Handle when an output is cleared or removed */\n", - " events.on('clear_output.CodeCell', handleClearOutput);\n", - " events.on('delete.Cell', handleClearOutput);\n", - "\n", - " /* Handle when a new output is added */\n", - " events.on('output_added.OutputArea', handleAddOutput);\n", - "\n", - " /**\n", - " * Register the mime type and append_mime function with output_area\n", - " */\n", - " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n", - " /* Is output safe? */\n", - " safe: true,\n", - " /* Index of renderer in `output_area.display_order` */\n", - " index: 0\n", - " });\n", - " }\n", - "\n", - " // register the mime type if in Jupyter Notebook environment and previously unregistered\n", - " if (root.Jupyter !== undefined) {\n", - " var events = require('base/js/events');\n", - " var OutputArea = require('notebook/js/outputarea').OutputArea;\n", - "\n", - " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n", - " register_renderer(events, OutputArea);\n", - " }\n", - " }\n", - "\n", - " \n", - " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n", - " root._bokeh_timeout = Date.now() + 5000;\n", - " root._bokeh_failed_load = false;\n", - " }\n", - "\n", - " var NB_LOAD_WARNING = {'data': {'text/html':\n", - " \"
\\n\"+\n", - " \"

\\n\"+\n", - " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n", - " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n", - " \"

\\n\"+\n", - " \"
    \\n\"+\n", - " \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
  • \\n\"+\n", - " \"
  • use INLINE resources instead, as so:
  • \\n\"+\n", - " \"
\\n\"+\n", - " \"\\n\"+\n", - " \"from bokeh.resources import INLINE\\n\"+\n", - " \"output_notebook(resources=INLINE)\\n\"+\n", - " \"\\n\"+\n", - " \"
\"}};\n", - "\n", - " function display_loaded() {\n", - " var el = document.getElementById(\"1001\");\n", - " if (el != null) {\n", - " el.textContent = \"BokehJS is loading...\";\n", - " }\n", - " if (root.Bokeh !== undefined) {\n", - " if (el != null) {\n", - " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n", - " }\n", - " } else if (Date.now() < root._bokeh_timeout) {\n", - " setTimeout(display_loaded, 100)\n", - " }\n", - " }\n", - "\n", - "\n", - " function run_callbacks() {\n", - " try {\n", - " root._bokeh_onload_callbacks.forEach(function(callback) {\n", - " if (callback != null)\n", - " callback();\n", - " });\n", - " } finally {\n", - " delete root._bokeh_onload_callbacks\n", - " }\n", - " console.debug(\"Bokeh: all callbacks have finished\");\n", - " }\n", - "\n", - " function load_libs(css_urls, js_urls, callback) {\n", - " if (css_urls == null) css_urls = [];\n", - " if (js_urls == null) js_urls = [];\n", - "\n", - " root._bokeh_onload_callbacks.push(callback);\n", - " if (root._bokeh_is_loading > 0) {\n", - " console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n", - " return null;\n", - " }\n", - " if (js_urls == null || js_urls.length === 0) {\n", - " run_callbacks();\n", - " return null;\n", - " }\n", - " console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n", - " root._bokeh_is_loading = css_urls.length + js_urls.length;\n", - "\n", - " function on_load() {\n", - " root._bokeh_is_loading--;\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n", - " run_callbacks()\n", - " }\n", - " }\n", - "\n", - " function on_error() {\n", - " console.error(\"failed to load \" + url);\n", - " }\n", - "\n", - " for (var i = 0; i < css_urls.length; i++) {\n", - " var url = css_urls[i];\n", - " const element = document.createElement(\"link\");\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.rel = \"stylesheet\";\n", - " element.type = \"text/css\";\n", - " element.href = url;\n", - " console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\": \"ufR9RFnRs6lniiaFvtJziE0YeidtAgBRH6ux2oUItHw5WTvE1zuk9uzhUU/FJXDp\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\": \"8QM/PGWBT+IssZuRcDcjzwIh1mkOmJSoNMmyYDZbCfXJg3Ap1lEvdVgFuSAwhb/J\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\": \"Jm8cH3Rg0P6UeZhVY5cLy1WzKajUT9KImCY+76hEqrcJt59/d8GPvFHjCkYgnSIn\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\": \"Ozhzj+SI7ywm74aOI/UajcWz+C0NjsPunEVyVIrxzYkB+jA+2tUw8x5xJCbVtK5I\"};\n", - "\n", - " for (var i = 0; i < js_urls.length; i++) {\n", - " var url = js_urls[i];\n", - " var element = document.createElement('script');\n", - " element.onload = on_load;\n", - " element.onerror = on_error;\n", - " element.async = false;\n", - " element.src = url;\n", - " if (url in hashes) {\n", - " element.crossOrigin = \"anonymous\";\n", - " element.integrity = \"sha384-\" + hashes[url];\n", - " }\n", - " console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", - " document.head.appendChild(element);\n", - " }\n", - " };\n", - "\n", - " function inject_raw_css(css) {\n", - " const element = document.createElement(\"style\");\n", - " element.appendChild(document.createTextNode(css));\n", - " document.body.appendChild(element);\n", - " }\n", - "\n", - " \n", - " var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\"];\n", - " var css_urls = [];\n", - " \n", - "\n", - " var inline_js = [\n", - " function(Bokeh) {\n", - " Bokeh.set_log_level(\"info\");\n", - " },\n", - " function(Bokeh) {\n", - " \n", - " \n", - " }\n", - " ];\n", - "\n", - " function run_inline_js() {\n", - " \n", - " if (root.Bokeh !== undefined || force === true) {\n", - " \n", - " for (var i = 0; i < inline_js.length; i++) {\n", - " inline_js[i].call(root, root.Bokeh);\n", - " }\n", - " if (force === true) {\n", - " display_loaded();\n", - " }} else if (Date.now() < root._bokeh_timeout) {\n", - " setTimeout(run_inline_js, 100);\n", - " } else if (!root._bokeh_failed_load) {\n", - " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", - " root._bokeh_failed_load = true;\n", - " } else if (force !== true) {\n", - " var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n", - " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n", - " }\n", - "\n", - " }\n", - "\n", - " if (root._bokeh_is_loading === 0) {\n", - " console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n", - " run_inline_js();\n", - " } else {\n", - " load_libs(css_urls, js_urls, function() {\n", - " console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", - " run_inline_js();\n", - " });\n", - " }\n", - "}(window));" - ], - "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"
\\n\"+\n \"

\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"

\\n\"+\n \"
    \\n\"+\n \"
  • re-rerun `output_notebook()` to attempt to load from CDN again, or
  • \\n\"+\n \"
  • use INLINE resources instead, as so:
  • \\n\"+\n \"
\\n\"+\n \"\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1001\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) {\n if (callback != null)\n callback();\n });\n } finally {\n delete root._bokeh_onload_callbacks\n }\n console.debug(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(css_urls, js_urls, callback) {\n if (css_urls == null) css_urls = [];\n if (js_urls == null) js_urls = [];\n\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n function on_load() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n run_callbacks()\n }\n }\n\n function on_error() {\n console.error(\"failed to load \" + url);\n }\n\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n }\n\n const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\": \"ufR9RFnRs6lniiaFvtJziE0YeidtAgBRH6ux2oUItHw5WTvE1zuk9uzhUU/FJXDp\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\": \"8QM/PGWBT+IssZuRcDcjzwIh1mkOmJSoNMmyYDZbCfXJg3Ap1lEvdVgFuSAwhb/J\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\": \"Jm8cH3Rg0P6UeZhVY5cLy1WzKajUT9KImCY+76hEqrcJt59/d8GPvFHjCkYgnSIn\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\": \"Ozhzj+SI7ywm74aOI/UajcWz+C0NjsPunEVyVIrxzYkB+jA+2tUw8x5xJCbVtK5I\"};\n\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n if (url in hashes) {\n element.crossOrigin = \"anonymous\";\n element.integrity = \"sha384-\" + hashes[url];\n }\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n };\n\n function inject_raw_css(css) {\n const element = document.createElement(\"style\");\n element.appendChild(document.createTextNode(css));\n document.body.appendChild(element);\n }\n\n \n var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.0.2.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.0.2.min.js\"];\n var css_urls = [];\n \n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n function(Bokeh) {\n \n \n }\n ];\n\n function run_inline_js() {\n \n if (root.Bokeh !== undefined || force === true) {\n \n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from bokeh.io import output_notebook, push_notebook\n", - "from bokeh.models.sources import ColumnDataSource\n", - "from bokeh.plotting import figure, show\n", - "import numpy as np\n", - "output_notebook()\n", - "\n", - "# set up plot background\n", - "N = 500\n", - "x = np.linspace(-5, 5, N)\n", - "y = np.linspace(-5, 5, N)\n", - "xx, yy = np.meshgrid(x, y)\n", - "d = (1 - xx)**2 + 2 * (yy - xx**2)**2\n", - "d = np.log(d)\n", - "\n", - "p = figure(x_range=(-5, 5), y_range=(-5, 5))\n", - "p.image(image=[d], x=-5, y=-5, dw=10, dh=10, palette=\"Spectral11\");" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We start off with a point at (0, 0), and randomly scatter test points around it. Each evaluation takes ~100ms, and as results come in, we test to see if we have a new best point, and choose random points around that new best point, as the search box shrinks.\n", - "\n", - "We print the function value and current best location each time we have a new best value." - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/javascript": [ - "(function(root) {\n", - " function embed_document(root) {\n", - " \n", - " var docs_json = {\"2c3b721a-2501-4890-b81c-8f2e31f53683\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1011\"}],\"center\":[{\"id\":\"1014\"},{\"id\":\"1018\"}],\"left\":[{\"id\":\"1015\"}],\"renderers\":[{\"id\":\"1038\"},{\"id\":\"1044\"}],\"title\":{\"id\":\"1046\"},\"toolbar\":{\"id\":\"1026\"},\"x_range\":{\"id\":\"1003\"},\"x_scale\":{\"id\":\"1007\"},\"y_range\":{\"id\":\"1005\"},\"y_scale\":{\"id\":\"1009\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1020\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"c\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"field\":\"c\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1043\",\"type\":\"Circle\"},{\"attributes\":{\"source\":{\"id\":\"1040\"}},\"id\":\"1045\",\"type\":\"CDSView\"},{\"attributes\":{\"data\":{\"c\":[\"grey\",\"grey\",\"grey\",\"grey\",\"grey\",\"grey\",\"grey\",\"grey\",\"grey\",\"grey\"],\"x\":[4.079129970393431,4.691655165529552,1.7933597080308648,-2.3880680715560745,-0.4588999347119014,0.5377552350485217,2.2202303280414935,-2.2344750866163707,-1.227843201663065,3.0102846937958],\"y\":[0.3024766577863156,-0.16909988675400278,2.7491600399656466,3.3930054808950025,-4.6646214918777416,-1.9420891748342308,-4.5847232882243905,1.9949319568069228,-4.348913137700274,0.9890091507600962]},\"selected\":{\"id\":\"1056\"},\"selection_policy\":{\"id\":\"1055\"}},\"id\":\"1040\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1012\",\"type\":\"BasicTicker\"},{\"attributes\":{\"axis\":{\"id\":\"1011\"},\"ticker\":null},\"id\":\"1014\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1048\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"1053\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"end\":5,\"start\":-5},\"id\":\"1005\",\"type\":\"Range1d\"},{\"attributes\":{\"end\":5,\"start\":-5},\"id\":\"1003\",\"type\":\"Range1d\"},{\"attributes\":{\"overlay\":{\"id\":\"1025\"}},\"id\":\"1021\",\"type\":\"BoxZoomTool\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1024\",\"type\":\"HelpTool\"},{\"attributes\":{},\"id\":\"1054\",\"type\":\"Selection\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1037\"},\"dh\":{\"units\":\"data\",\"value\":10},\"dw\":{\"units\":\"data\",\"value\":10},\"global_alpha\":0.1,\"image\":{\"field\":\"image\"},\"x\":{\"value\":-5},\"y\":{\"value\":-5}},\"id\":\"1036\",\"type\":\"Image\"},{\"attributes\":{},\"id\":\"1023\",\"type\":\"ResetTool\"},{\"attributes\":{\"fill_color\":{\"field\":\"c\"},\"line_color\":{\"field\":\"c\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1042\",\"type\":\"Circle\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_multi\":null,\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"1019\"},{\"id\":\"1020\"},{\"id\":\"1021\"},{\"id\":\"1022\"},{\"id\":\"1023\"},{\"id\":\"1024\"}]},\"id\":\"1026\",\"type\":\"Toolbar\"},{\"attributes\":{\"formatter\":{\"id\":\"1050\"},\"ticker\":{\"id\":\"1012\"}},\"id\":\"1011\",\"type\":\"LinearAxis\"},{\"attributes\":{\"source\":{\"id\":\"1033\"}},\"id\":\"1039\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"1019\",\"type\":\"PanTool\"},{\"attributes\":{\"axis\":{\"id\":\"1015\"},\"dimension\":1,\"ticker\":null},\"id\":\"1018\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1050\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"palette\":[\"#5e4fa2\",\"#3288bd\",\"#66c2a5\",\"#abdda4\",\"#e6f598\",\"#ffffbf\",\"#fee08b\",\"#fdae61\",\"#f46d43\",\"#d53e4f\",\"#9e0142\"]},\"id\":\"1037\",\"type\":\"LinearColorMapper\"},{\"attributes\":{},\"id\":\"1055\",\"type\":\"UnionRenderers\"},{\"attributes\":{\"formatter\":{\"id\":\"1048\"},\"ticker\":{\"id\":\"1016\"}},\"id\":\"1015\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1022\",\"type\":\"SaveTool\"},{\"attributes\":{\"color_mapper\":{\"id\":\"1035\"},\"dh\":{\"units\":\"data\",\"value\":10},\"dw\":{\"units\":\"data\",\"value\":10},\"image\":{\"field\":\"image\"},\"x\":{\"value\":-5},\"y\":{\"value\":-5}},\"id\":\"1034\",\"type\":\"Image\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"LinearScale\"},{\"attributes\":{\"bottom_units\":\"screen\",\"fill_alpha\":0.5,\"fill_color\":\"lightgrey\",\"left_units\":\"screen\",\"level\":\"overlay\",\"line_alpha\":1.0,\"line_color\":\"black\",\"line_dash\":[4,4],\"line_width\":2,\"render_mode\":\"css\",\"right_units\":\"screen\",\"top_units\":\"screen\"},\"id\":\"1025\",\"type\":\"BoxAnnotation\"},{\"attributes\":{},\"id\":\"1056\",\"type\":\"Selection\"},{\"attributes\":{\"text\":\"\"},\"id\":\"1046\",\"type\":\"Title\"},{\"attributes\":{\"data_source\":{\"id\":\"1033\"},\"glyph\":{\"id\":\"1034\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1036\"},\"selection_glyph\":null,\"view\":{\"id\":\"1039\"}},\"id\":\"1038\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data\":{\"image\":[{\"__ndarray__\":\"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\",\"dtype\":\"float64\",\"shape\":[500,500]}]},\"selected\":{\"id\":\"1054\"},\"selection_policy\":{\"id\":\"1053\"}},\"id\":\"1033\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"palette\":[\"#5e4fa2\",\"#3288bd\",\"#66c2a5\",\"#abdda4\",\"#e6f598\",\"#ffffbf\",\"#fee08b\",\"#fdae61\",\"#f46d43\",\"#d53e4f\",\"#9e0142\"]},\"id\":\"1035\",\"type\":\"LinearColorMapper\"},{\"attributes\":{},\"id\":\"1016\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"1040\"},\"glyph\":{\"id\":\"1042\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1043\"},\"selection_glyph\":null,\"view\":{\"id\":\"1045\"}},\"id\":\"1044\",\"type\":\"GlyphRenderer\"}],\"root_ids\":[\"1002\"]},\"title\":\"Bokeh Application\",\"version\":\"2.0.2\"}};\n", - " var render_items = [{\"docid\":\"2c3b721a-2501-4890-b81c-8f2e31f53683\",\"notebook_comms_target\":\"1057\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"1993bd74-8aa3-45f5-8e60-30768f9be2b1\"}}];\n", - " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n", - "\n", - " }\n", - " if (root.Bokeh !== undefined) {\n", - " embed_document(root);\n", - " } else {\n", - " var attempts = 0;\n", - " var timer = setInterval(function(root) {\n", - " if (root.Bokeh !== undefined) {\n", - " clearInterval(timer);\n", - " embed_document(root);\n", - " } else {\n", - " attempts++;\n", - " if (attempts > 100) {\n", - " clearInterval(timer);\n", - " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n", - " }\n", - " }\n", - " }, 10, root)\n", - " }\n", - "})(window);" - ], - "application/vnd.bokehjs_exec.v0+json": "" - }, - "metadata": { - "application/vnd.bokehjs_exec.v0+json": { - "id": "1002" - } - }, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "543.2647211593154 (4.079129970393431, 0.3024766577863156)\n", - "28.437200986749886 (-2.2344750866163707, 1.9949319568069228)\n", - "10.170800667347166 (0.5377552350485217, -1.9420891748342308)\n", - "1.0655584037345958 (1.7933597080308648, 2.7491600399656466)\n", - "0.7194066058793129 (0.23633661264430916, -0.20512856505558297)\n", - "0.10957416473492494 (0.675272210586737, 0.5014129696487468)\n", - "0.09485752915674509 (0.8634068089533915, 0.5502793233973486)\n", - "0.03340332722451019 (0.8198104276715235, 0.6504668658310893)\n", - "0.0013692204192844032 (0.9751875769781032, 0.9315799359810122)\n", - "0.0009450063338096903 (0.9724412841200014, 0.9552733415470553)\n", - "0.00019217589832606707 (0.988826382058939, 0.9835796031884596)\n", - "6.767366387232208e-05 (0.9921077570614873, 0.9859188630573263)\n", - "4.006187141599109e-05 (1.0046796357163965, 1.0123947132699331)\n", - "8.990014084259844e-06 (0.9974653595904326, 0.993804533306022)\n", - "3.7123964063033307e-06 (1.0002790064989322, 0.9992100270866068)\n", - "3.624086102564695e-06 (1.0018182539515967, 1.0032410416659399)\n", - "1.7726289081205055e-07 (0.9999265809796629, 0.9995600184640717)\n", - "8.242199039354982e-08 (1.0000288343591122, 1.000259647976869)\n" - ] - }, - { - "data": { - "text/plain": [ - "(0.9990121549667351, 0.9997850740842132)" - ] - }, - "execution_count": 18, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dask.distributed import as_completed\n", - "from random import uniform\n", - "\n", - "scale = 5 # Intial random perturbation scale\n", - "best_point = (0, 0) # Initial guess\n", - "best_score = float('inf') # Best score so far\n", - "startx = [uniform(-scale, scale) for _ in range(10)]\n", - "starty = [uniform(-scale, scale) for _ in range(10)]\n", - "\n", - "# set up plot\n", - "source = ColumnDataSource({'x': startx, 'y': starty, 'c': ['grey'] * 10})\n", - "p.circle(source=source, x='x', y='y', color='c')\n", - "t = show(p, notebook_handle=True)\n", - "\n", - "# initial 10 random points\n", - "futures = [client.submit(rosenbrock, (x, y)) for x, y in zip(startx, starty)]\n", - "iterator = as_completed(futures)\n", - "\n", - "for res in iterator:\n", - " # take a completed point, is it an improvement?\n", - " point, score = res.result()\n", - " if score < best_score:\n", - " best_score, best_point = score, point\n", - " print(score, point)\n", - "\n", - " x, y = best_point\n", - " newx, newy = (x + uniform(-scale, scale), y + uniform(-scale, scale))\n", - " \n", - " # update plot\n", - " source.stream({'x': [newx], 'y': [newy], 'c': ['grey']}, rollover=20)\n", - " push_notebook(document=t)\n", - " \n", - " # add new point, dynamically, to work on the cluster\n", - " new_point = client.submit(rosenbrock, (newx, newy))\n", - " iterator.add(new_point) # Start tracking new task as well\n", - "\n", - " # Narrow search and consider stopping\n", - " scale *= 0.99\n", - " if scale < 0.001:\n", - " break\n", - "point" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Debugging" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When something goes wrong in a distributed job, it is hard to figure out what the problem was and what to do about it. When a task raises an exception, the exception will show up when that result, or other result that depend upon it, is gathered.\n", - "\n", - "Consider the following delayed calculation to be computed by the cluster. As usual, we get back a future, which the cluster is working on to compute (this happens very slowly for the trivial procedure)." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "Future: summation status: pending, key: summation-a5d14961-9749-497a-99a0-4c9ce42d8636" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "@delayed\n", - "def ratio(a, b):\n", - " return a // b\n", - "\n", - "@delayed\n", - "def summation(*a):\n", - " return sum(*a)\n", - "\n", - "ina = [5, 25, 30]\n", - "inb = [5, 5, 6]\n", - "out = summation([ratio(a, b) for (a, b) in zip(ina, inb)])\n", - "f = client.compute(out)\n", - "f" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We only get to know what happened when we gather the result (this is also true for `out.compute()`, except we could not have done other stuff in the meantime). For the first set of inputs, it works fine." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "11" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "client.gather(f)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "But if we introduce bad input, an exception is raised. The exception happens in `ratio`, but only comes to our attention when calculating `summation`." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": { - "scrolled": true, - "tags": [ - "raises-exception" - ] - }, - "outputs": [ - { - "ename": "ZeroDivisionError", - "evalue": "integer division or modulo by zero", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0mout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msummation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mratio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mina\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgather\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py\u001b[0m in \u001b[0;36mgather\u001b[0;34m(self, futures, errors, direct, asynchronous)\u001b[0m\n\u001b[1;32m 1929\u001b[0m \u001b[0mdirect\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdirect\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1930\u001b[0m \u001b[0mlocal_worker\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlocal_worker\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1931\u001b[0;31m \u001b[0masynchronous\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0masynchronous\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1932\u001b[0m )\n\u001b[1;32m 1933\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py\u001b[0m in \u001b[0;36msync\u001b[0;34m(self, func, asynchronous, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m 778\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 779\u001b[0m return sync(\n\u001b[0;32m--> 780\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback_timeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcallback_timeout\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 781\u001b[0m )\n\u001b[1;32m 782\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/utils.py\u001b[0m in \u001b[0;36msync\u001b[0;34m(loop, func, callback_timeout, *args, **kwargs)\u001b[0m\n\u001b[1;32m 345\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 346\u001b[0m \u001b[0mtyp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 347\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_traceback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 348\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 349\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/utils.py\u001b[0m in \u001b[0;36mf\u001b[0;34m()\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcallback_timeout\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 330\u001b[0m \u001b[0mfuture\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0masyncio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_for\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfuture\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback_timeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 331\u001b[0;31m \u001b[0mresult\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32myield\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 332\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 333\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/tornado/gen.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 733\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 734\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 735\u001b[0;31m \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 736\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 737\u001b[0m \u001b[0mexc_info\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msys\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexc_info\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py\u001b[0m in \u001b[0;36m_gather\u001b[0;34m(self, futures, errors, direct, local_worker)\u001b[0m\n\u001b[1;32m 1788\u001b[0m \u001b[0mexc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCancelledError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1789\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1790\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mexception\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwith_traceback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtraceback\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1791\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mexc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1792\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m\"skip\"\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m\u001b[0m in \u001b[0;36mratio\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mratio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m//\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" - ] - } - ], - "source": [ - "ina = [5, 25, 30]\n", - "inb = [5, 0, 6]\n", - "out = summation([ratio(a, b) for (a, b) in zip(ina, inb)])\n", - "f = client.compute(out)\n", - "client.gather(f)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The display in this case makes the origin of the exception obvious, but this is not always the case. How should this be debugged, how would we go about finding out the exact conditions that caused the exception? \n", - "\n", - "The first step, of course, is to write well-tested code which makes appropriate assertions about its input and clear warnings and error messages when something goes wrong. This applies to all code.\n", - "\n", - "The most typical thing to do is to execute some portion of the computation in the local thread, so that we can run the Python debugger and query the state of things at the time that the exception happened. Obviously, this cannot be performed on the whole dataset when dealing with Big Data on a cluster, but a suitable sample will probably do even then." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "scrolled": true, - "tags": [ - "raises-exception" - ] - }, - "outputs": [ - { - "ename": "ZeroDivisionError", - "evalue": "integer division or modulo by zero", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mdask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscheduler\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"sync\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# do NOT use client.compute(out) here - we specifically do not want the distributed scheduler\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/base.py\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 164\u001b[0m \u001b[0mdask\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbase\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcompute\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 165\u001b[0m \"\"\"\n\u001b[0;32m--> 166\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcompute\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtraverse\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 167\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/base.py\u001b[0m in \u001b[0;36mcompute\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 435\u001b[0m \u001b[0mkeys\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_keys__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 436\u001b[0m \u001b[0mpostcomputes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__dask_postcompute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcollections\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 437\u001b[0;31m \u001b[0mresults\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mschedule\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdsk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 438\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mrepack\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresults\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpostcomputes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 439\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mget_sync\u001b[0;34m(dsk, keys, **kwargs)\u001b[0m\n\u001b[1;32m 525\u001b[0m \"\"\"\n\u001b[1;32m 526\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"num_workers\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# if num_workers present, remove it\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 527\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mget_async\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapply_sync\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdsk\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 528\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 529\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mget_async\u001b[0;34m(apply_async, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, **kwargs)\u001b[0m\n\u001b[1;32m 492\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 493\u001b[0m \u001b[0;32mwhile\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"ready\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"running\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mnum_workers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 494\u001b[0;31m \u001b[0mfire_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 495\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 496\u001b[0m \u001b[0msucceeded\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mfire_task\u001b[0;34m()\u001b[0m\n\u001b[1;32m 464\u001b[0m \u001b[0mpack_exception\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 465\u001b[0m ),\n\u001b[0;32m--> 466\u001b[0;31m \u001b[0mcallback\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mqueue\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mput\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 467\u001b[0m )\n\u001b[1;32m 468\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mapply_sync\u001b[0;34m(func, args, kwds, callback)\u001b[0m\n\u001b[1;32m 514\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mapply_sync\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 515\u001b[0m \u001b[0;34m\"\"\" A naive synchronous version of apply_async \"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 516\u001b[0;31m \u001b[0mres\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 517\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mcallback\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 518\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mres\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(key, task_info, dumps, loads, get_id, pack_exception)\u001b[0m\n\u001b[1;32m 225\u001b[0m \u001b[0mfailed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 226\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mBaseException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 227\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpack_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdumps\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 228\u001b[0m \u001b[0mfailed\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mkey\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfailed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/local.py\u001b[0m in \u001b[0;36mexecute_task\u001b[0;34m(key, task_info, dumps, loads, get_id, pack_exception)\u001b[0m\n\u001b[1;32m 220\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 221\u001b[0m \u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask_info\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 222\u001b[0;31m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_execute_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtask\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 223\u001b[0m \u001b[0mid\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_id\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 224\u001b[0m \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdumps\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mid\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/dask/core.py\u001b[0m in \u001b[0;36m_execute_task\u001b[0;34m(arg, cache, dsk)\u001b[0m\n\u001b[1;32m 119\u001b[0m \u001b[0;31m# temporaries by their reference count and can execute certain\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 120\u001b[0m \u001b[0;31m# operations in-place.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 121\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_execute_task\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcache\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ma\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 122\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mishashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 123\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0marg\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m\u001b[0m in \u001b[0;36mratio\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mratio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m//\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" - ] - } - ], - "source": [ - "import dask\n", - "with dask.config.set(scheduler=\"sync\"):\n", - " # do NOT use client.compute(out) here - we specifically do not want the distributed scheduler\n", - " out.compute()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# uncomment to enter post-mortem debugger\n", - "# %debug" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The trouble with this approach is that Dask is meant for the execution of large datasets/computations - you probably can't simply run the whole thing \n", - "in one local thread, else you wouldn't have used Dask in the first place. So the code above should only be used on a small part of the data that also exchibits the error. \n", - "Furthermore, the method will not work when you are dealing with futures (such as `f`, above, or after persisting) instead of delayed-based computations.\n", - "\n", - "As alternative, you can ask the scheduler to analyze your calculation and find the specific sub-task responsible for the error, and pull only it and its dependnecies locally for execution." - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "tags": [ - "raises-exception" - ] - }, - "outputs": [ - { - "ename": "ZeroDivisionError", - "evalue": "integer division or modulo by zero", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mZeroDivisionError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecreate_error_locally\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/recreate_exceptions.py\u001b[0m in \u001b[0;36mrecreate_error_locally\u001b[0;34m(self, future)\u001b[0m\n\u001b[1;32m 175\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclient\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloop\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_recreate_error_locally\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfuture\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 176\u001b[0m )\n\u001b[0;32m--> 177\u001b[0;31m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;32m\u001b[0m in \u001b[0;36mratio\u001b[0;34m(a, b)\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mratio\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0ma\u001b[0m \u001b[0;34m//\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m@\u001b[0m\u001b[0mdelayed\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;31mZeroDivisionError\u001b[0m: integer division or modulo by zero" - ] - } - ], - "source": [ - "client.recreate_error_locally(f)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# uncomment to enter post-mortem debugger\n", - "# %debug" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Discussion on setting up number of dask workders" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### VDI\n", - "\n", - "There are 8 cores in each VDI instance. The default setting of the number of workers is 4. If not specified in the dask client, each worker will be allocated with 2 cores. When reading data in, the default setting of threadsafe is dask does not allow multi-thread reading. This may cause an I/O error. Therefore, it is recommended to add the flag \n", - "“threads_per_worker=1” in the client argument." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client = Client(threads_per_worker=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this case, you may get warning message about the restarting or resuming workers due to the high memory usage but the job can complete. Alternatively, you could reduce the number of workers with more memory per worker allocated to avoid the restarting workers." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client = Client(n_workers=6,threads_per_worker=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Gadi" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Each compute node on Gadi has 48 cores. Each node can run several processes at once. Each process can parallelize within itself with many threads. Processes have isolated memory environments, meaning that sharing data within a process is free, while sharing data between processes is expensive.\n", - "\n", - "Typically things work best on large nodes (like 48 cores) if you cut them up into a few processes, each of which have several threads. You want the number of processes times the number of threads to equal the number of cores. So for example you might do something like the following for a 48-core node:\n", - "\n", - "- 4 processes with 12 threads each\n", - "- 8 processes with 6 threads each\n", - "- 1 process with 48 threads\n", - "\n", - "Typically one decides among these choices based on the workload. \n", - "\n", - "The difference here is due to Python's Global Interpreter Lock, which limits parallelism for some kinds of data. If you are working mostly with Numpy, Pandas, Scikit-Learn, or other numerical programming libraries in Python then you don't need to worry about the GIL, and you probably want to prefer few processes with many threads each. This helps because it allows data to move freely between your cores because it all lives in the same process. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dask-worker ... --nprocs 1 --nthreads 48 # assuming you use Gadi compute nodes" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "However, if you're doing mostly Pure Python programming, like dealing with text data, dictionaries/lists/sets, and doing most of your computation in tight Python for loops then you'll want to prefer having many processes with few threads each. This incurs extra communication costs, but lets you bypass the GIL." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dask-worker ... --nprocs 48 --nthreads 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Based on benchmarking you may find that a more balanced split is better:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dask-worker ... --nprocs 12 --nthreads 4" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using more processes avoids GIL issues, but adds costs due to inter-process communication. You would want to avoid many processes if your computations require a lot of inter-worker communication.\n", - "\n", - "**Notes: the advice above is referenced from Dask disbributed discussion in stack overflow. **" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_15_memory_compute_management-checkpoint.ipynb b/.ipynb_checkpoints/Dask_15_memory_compute_management-checkpoint.ipynb deleted file mode 100644 index fb30771..0000000 --- a/.ipynb_checkpoints/Dask_15_memory_compute_management-checkpoint.ipynb +++ /dev/null @@ -1,2937 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Resource Management in Dask\n", - "\n", - "This tutorial provides a summary of how to manage and utilise the CPU and memory effectively when dealing with large datasets and/or with intensive computation demands. There are several ways of managing larger than memory data and improving code efficiencies. The approaches below are demonstrated with some brief examples.\n", - " \n", - "- Partition\n", - " - dask.dataframe\n", - " - dask.dataarray\n", - "- Save data onto disk\n", - " - export intermediate data onto disk \n", - "- Schedular\n", - " - Persist / Compute methods\n", - " - Futures as pointers to remote data\n", - " - Delayed\n", - "- Clear data\n", - "- Execution in background\n", - " - Network communication example\n", - " \n", - "----" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Resource Management, Partition, Schedular\n", - "- Create Date: 2020-Sep\n", - "-------" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Partition \n", - "\n", - "Dask operates on chunks. Like what we see in examples of dask arrays and dataframes, Dask provides a parallel, larger-than-memory mechanism using blocked algorithms. Simply put: distributed operation on data series, frame, or array.\n", - "\n", - "* **Parallel**: Uses all of the cores on your computer\n", - "* **Larger-than-memory**: Lets you work on datasets that are larger than your available memory by breaking up your data into many small pieces, operating on those pieces in an order that minimizes the memory footprint of your computation, and effectively streaming data from disk.\n", - "* **Blocked Algorithms**: Perform large computations by performing many smaller computations\n", - "\n", - "A Dask DataFrame is composed of many pandas DataFrames. For `dask.dataframe` the chunking happens only along the index.\n", - "\n", - "\n", - "\n", - "Dask arrays coordinate many Numpy arrays, arranged into chunks within a grid. They support a large subset of the Numpy API.\n", - "\n", - "\n", - "\n", - "In this notebook, we'll build some understanding by implementing some blocked algorithms from scratch." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dask.DataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_*_*/IDCJAC0009*.csv'" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import os\n", - "import dask\n", - "filename = os.path.join('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", - "filename" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Dask DataFrame Structure:
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
npartitions=125
objectint64int64int64int64float64float64object
........................
...........................
........................
........................
\n", - "
\n", - "
Dask Name: read-csv, 125 tasks
" - ], - "text/plain": [ - "Dask DataFrame Structure:\n", - " Product code Bureau of Meteorology station number Year Month Day Rainfall amount (millimetres) Period over which rainfall was measured (days) Quality\n", - "npartitions=125 \n", - " object int64 int64 int64 int64 float64 float64 object\n", - " ... ... ... ... ... ... ... ...\n", - "... ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - "Dask Name: read-csv, 125 tasks" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
0IDCJAC0009420102015110.0NaNY
1IDCJAC00094201020151220.01.0Y
2IDCJAC00094201020151315.21.0Y
3IDCJAC0009420102015140.0NaNY
4IDCJAC0009420102015150.0NaNY
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "0 IDCJAC0009 42010 2015 1 1 \n", - "1 IDCJAC0009 42010 2015 1 2 \n", - "2 IDCJAC0009 42010 2015 1 3 \n", - "3 IDCJAC0009 42010 2015 1 4 \n", - "4 IDCJAC0009 42010 2015 1 5 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "0 0.0 \n", - "1 20.0 \n", - "2 15.2 \n", - "3 0.0 \n", - "4 0.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "0 NaN Y \n", - "1 1.0 Y \n", - "2 1.0 Y \n", - "3 NaN Y \n", - "4 NaN Y " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dd.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "dd.groupby(\"Product code\")[\"Rainfall amount (millimetres)\"].max().visualize(filename='dataframe_graph.pdf')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dask.dataarray\n", - "\n", - "To open multiple files simultaneously in parallel using Dask delayed, use `open_mfdataset()`.\n", - "\n", - "This function will automatically concatenate and merge datasets into one in the simple cases that it understands (see combine_by_coords() for the full disclaimer). By default, open_mfdataset() will chunk each netCDF file into a single Dask array; again, supply the chunks argument to control the size of the resulting Dask arrays. In more complex cases, you can open each file individually using open_dataset() and merge the result, as described in Combining data. Passing the keyword argument parallel=True to open_mfdataset() will speed up the reading of large multi-file datasets by executing those read tasks in parallel using dask.delayed." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "ssp585: 6.74 GB\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.Dataset>\n",
-       "Dimensions:    (bnds: 2, lat: 180, lon: 288, time: 31390)\n",
-       "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time       (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Dimensions without coordinates: bnds\n",
-       "Data variables:\n",
-       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(7300, 180, 2), meta=np.ndarray>\n",
-       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(7300, 288, 2), meta=np.ndarray>\n",
-       "    pr         (time, lat, lon) float32 dask.array<chunksize=(730, 180, 288), meta=np.ndarray>\n",
-       "    time_bnds  (time, bnds) object dask.array<chunksize=(730, 2), meta=np.ndarray>\n",
-       "Attributes:\n",
-       "    external_variables:     areacella\n",
-       "    history:                File was processed by fremetar (GFDL analog of CM...\n",
-       "    table_id:               day\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   0.0\n",
-       "    comment:                <null ref>\n",
-       "    contact:                gfdl.climate.model.info@noaa.gov\n",
-       "    Conventions:            CF-1.7 CMIP-6.0 UGRID-1.0\n",
-       "    creation_date:          2019-03-18T15:13:56Z\n",
-       "    data_specs_version:     01.00.27\n",
-       "    experiment:             update of RCP8.5 based on SSP5\n",
-       "    experiment_id:          ssp585\n",
-       "    forcing_index:          1\n",
-       "    frequency:              day\n",
-       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n",
-       "    grid:                   atmos data regridded from Cubed-sphere (c96) to 1...\n",
-       "    grid_label:             gr1\n",
-       "    initialization_index:   1\n",
-       "    institution:            National Oceanic and Atmospheric Administration, ...\n",
-       "    institution_id:         NOAA-GFDL\n",
-       "    license:                CMIP6 model data produced by NOAA-GFDL is license...\n",
-       "    mip_era:                CMIP6\n",
-       "    nominal_resolution:     100 km\n",
-       "    parent_activity_id:     CMIP\n",
-       "    parent_experiment_id:   historical\n",
-       "    parent_mip_era:         CMIP6\n",
-       "    parent_source_id:       GFDL-CM4\n",
-       "    parent_variant_label:   r1i1p1f1\n",
-       "    physics_index:          1\n",
-       "    product:                model-output\n",
-       "    realization_index:      1\n",
-       "    realm:                  atmos\n",
-       "    source:                 GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n",
-       "    source_id:              GFDL-CM4\n",
-       "    source_type:            AOGCM\n",
-       "    sub_experiment:         none\n",
-       "    sub_experiment_id:      none\n",
-       "    title:                  NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n",
-       "    tracking_id:            hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n",
-       "    variable_id:            pr\n",
-       "    variant_info:           N/A\n",
-       "    references:             see further_info_url attribute\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    parent_time_units:      days since 1850-1-1
" - ], - "text/plain": [ - "\n", - "Dimensions: (bnds: 2, lat: 180, lon: 288, time: 31390)\n", - "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Dimensions without coordinates: bnds\n", - "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " pr (time, lat, lon) float32 dask.array\n", - " time_bnds (time, bnds) object dask.array\n", - "Attributes:\n", - " external_variables: areacella\n", - " history: File was processed by fremetar (GFDL analog of CM...\n", - " table_id: day\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " comment: \n", - " contact: gfdl.climate.model.info@noaa.gov\n", - " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", - " creation_date: 2019-03-18T15:13:56Z\n", - " data_specs_version: 01.00.27\n", - " experiment: update of RCP8.5 based on SSP5\n", - " experiment_id: ssp585\n", - " forcing_index: 1\n", - " frequency: day\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n", - " grid: atmos data regridded from Cubed-sphere (c96) to 1...\n", - " grid_label: gr1\n", - " initialization_index: 1\n", - " institution: National Oceanic and Atmospheric Administration, ...\n", - " institution_id: NOAA-GFDL\n", - " license: CMIP6 model data produced by NOAA-GFDL is license...\n", - " mip_era: CMIP6\n", - " nominal_resolution: 100 km\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: historical\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: GFDL-CM4\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " source: GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n", - " source_id: GFDL-CM4\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " title: NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n", - " tracking_id: hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n", - " variable_id: pr\n", - " variant_info: N/A\n", - " references: see further_info_url attribute\n", - " variant_label: r1i1p1f1\n", - " branch_time_in_parent: 60225.0\n", - " parent_time_units: days since 1850-1-1" - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import xarray as xr\n", - "import dask.array as da\n", - "path = '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/*'\n", - "f_ssp585 = xr.open_mfdataset(path)\n", - "# Use Dask.Distributed utility function to display size of each dataset\n", - "from distributed.utils import format_bytes\n", - "print(\n", - " \"ssp585:\",\n", - " format_bytes(f_ssp585.nbytes),\n", - ")\n", - "dsets = xr.open_mfdataset(path,chunks={'time':730},parallel=True)\n", - "dsets" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You'll notice that printing a dataset still shows a preview of array values, even if they are actually Dask arrays. We can do this quickly with Dask because we only need to compute the first few values (typically from the first block). To reveal the true nature of an array, print a DataArray:" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
<xarray.DataArray 'pr' (time: 31390, lat: 180, lon: 288)>\n",
-       "dask.array<concatenate, shape=(31390, 180, 288), dtype=float32, chunksize=(730, 180, 288), chunktype=numpy.ndarray>\n",
-       "Coordinates:\n",
-       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon      (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
-       "Attributes:\n",
-       "    long_name:      Precipitation\n",
-       "    units:          kg m-2 s-1\n",
-       "    cell_methods:   area: time: mean\n",
-       "    cell_measures:  area: areacella\n",
-       "    standard_name:  precipitation_flux\n",
-       "    interp_method:  conserve_order1\n",
-       "    original_name:  pr
" - ], - "text/plain": [ - "\n", - "dask.array\n", - "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "dsets.pr" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once you've manipulated a Dask array, you can still write a dataset too big to fit into memory back to disk by using to_netcdf() in the usual way. Be mindful the following cell will take some time. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "dsets.to_netcdf(\"/g/data/dk92/notebooks/demo_data/cmip6-precipitation-data.nc\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, by setting the compute argument to False, to_netcdf() will return a dask.delayed object that can be computed later." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/g/data/dk92/packages/xarray/conventions.py:427: UserWarning: Variable 'time' has datetime type and a bounds variable but time.encoding does not have units specified. The units encodings for 'time' and 'time_bnds' will be determined independently and may not be equal, counter to CF-conventions. If this is a concern, specify a units encoding for 'time' before writing to a file.\n", - " UserWarning,\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[########################################] | 100% Completed | 15min 27.7s\n" - ] - } - ], - "source": [ - "from dask.diagnostics import ProgressBar\n", - "\n", - "# or distributed.progress when using the distributed scheduler\n", - "delayed_obj = dsets.to_netcdf(\"/g/data/dk92/notebooks/demo_data/cmip6-precipitation-data.nc\", compute=False)\n", - "\n", - "with ProgressBar():\n", - " results = delayed_obj.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "When we do a small scale of caculation, read the whole file into momery is intuitive, but this approach often does not scale. Then segmentation and work on big data bit by bit is a good practice when dealing with larger than memory data. Note that there is often a trade-off between time-efficiency and memory footprint: the following uses very little memory, but may be slower for files that do not fill a large faction of memory. In general, one would like chunks small enough not to stress memory, but big enough for efficient use of the CPU. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Save data onto disk\n", - "\n", - "Whenever we operate on our data we read through all of our data so that we don’t fill up RAM. This is very efficient for memory use, but reading through all of the data files every time can be slow.\n", - "\n", - "As you see in the dask dataframes example, we store our data in Parquet, a format that is more efficient for computers to read and write. It is binary file format. Parquet stores nested data structures in a flat columnar format. Compared to a traditional approach where data is stored in row-oriented approach, parquet is more efficient in terms of storage and performance.\n", - "\n", - "The follow codes were copied over from that example to remind you one way of how to save data onto disk." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "_common_metadata part.14.parquet part.43.parquet part.72.parquet\n", - "_metadata\t part.15.parquet part.44.parquet part.73.parquet\n", - "part.0.parquet\t part.16.parquet part.45.parquet part.74.parquet\n", - "part.100.parquet part.17.parquet part.46.parquet part.75.parquet\n", - "part.101.parquet part.18.parquet part.47.parquet part.76.parquet\n", - "part.102.parquet part.19.parquet part.48.parquet part.77.parquet\n", - "part.103.parquet part.1.parquet part.49.parquet part.78.parquet\n", - "part.104.parquet part.20.parquet part.4.parquet part.79.parquet\n", - "part.105.parquet part.21.parquet part.50.parquet part.7.parquet\n", - "part.106.parquet part.22.parquet part.51.parquet part.80.parquet\n", - "part.107.parquet part.23.parquet part.52.parquet part.81.parquet\n", - "part.108.parquet part.24.parquet part.53.parquet part.82.parquet\n", - "part.109.parquet part.25.parquet part.54.parquet part.83.parquet\n", - "part.10.parquet part.26.parquet part.55.parquet part.84.parquet\n", - "part.110.parquet part.27.parquet part.56.parquet part.85.parquet\n", - "part.111.parquet part.28.parquet part.57.parquet part.86.parquet\n", - "part.112.parquet part.29.parquet part.58.parquet part.87.parquet\n", - "part.113.parquet part.2.parquet part.59.parquet part.88.parquet\n", - "part.114.parquet part.30.parquet part.5.parquet part.89.parquet\n", - "part.115.parquet part.31.parquet part.60.parquet part.8.parquet\n", - "part.116.parquet part.32.parquet part.61.parquet part.90.parquet\n", - "part.117.parquet part.33.parquet part.62.parquet part.91.parquet\n", - "part.118.parquet part.34.parquet part.63.parquet part.92.parquet\n", - "part.119.parquet part.35.parquet part.64.parquet part.93.parquet\n", - "part.11.parquet part.36.parquet part.65.parquet part.94.parquet\n", - "part.120.parquet part.37.parquet part.66.parquet part.95.parquet\n", - "part.121.parquet part.38.parquet part.67.parquet part.96.parquet\n", - "part.122.parquet part.39.parquet part.68.parquet part.97.parquet\n", - "part.123.parquet part.3.parquet part.69.parquet part.98.parquet\n", - "part.124.parquet part.40.parquet part.6.parquet part.99.parquet\n", - "part.12.parquet part.41.parquet part.70.parquet part.9.parquet\n", - "part.13.parquet part.42.parquet part.71.parquet\n" - ] - } - ], - "source": [ - "# Write data as parquet format\n", - "dd.to_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')\n", - "!ls ../demo_data/ACT_weather.parquet" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Extract binary files from disk and do some calcuation with a better performance gain" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 661 ms, sys: 282 ms, total: 943 ms\n", - "Wall time: 787 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "322.1" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time \n", - "import pandas as pd\n", - "df = pd.read_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')\n", - "df[\"Rainfall amount (millimetres)\"].max()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Schedular\n", - "\n", - "### Persist sends work to the scheduler" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 45269 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
0IDCJAC0009420102015110.0NaNY
1IDCJAC00094201020151220.01.0Y
2IDCJAC00094201020151315.21.0Y
3IDCJAC0009420102015140.0NaNY
4IDCJAC0009420102015150.0NaNY
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "0 IDCJAC0009 42010 2015 1 1 \n", - "1 IDCJAC0009 42010 2015 1 2 \n", - "2 IDCJAC0009 42010 2015 1 3 \n", - "3 IDCJAC0009 42010 2015 1 4 \n", - "4 IDCJAC0009 42010 2015 1 5 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "0 0.0 \n", - "1 20.0 \n", - "2 15.2 \n", - "3 0.0 \n", - "4 0.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "0 NaN Y \n", - "1 1.0 Y \n", - "2 1.0 Y \n", - "3 NaN Y \n", - "4 NaN Y " - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# read csv files again\n", - "import os\n", - "import dask\n", - "filename = os.path.join('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", - "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
14IDCJAC000942010201511538.21.0Y
27IDCJAC000942010201512834.01.0Y
236IDCJAC000942010201582523.51.0Y
309IDCJAC000942010201511624.01.0Y
319IDCJAC0009420102015111622.01.0Y
\n", - "
" - ], - "text/plain": [ - " Product code Bureau of Meteorology station number Year Month Day \\\n", - "14 IDCJAC0009 42010 2015 1 15 \n", - "27 IDCJAC0009 42010 2015 1 28 \n", - "236 IDCJAC0009 42010 2015 8 25 \n", - "309 IDCJAC0009 42010 2015 11 6 \n", - "319 IDCJAC0009 42010 2015 11 16 \n", - "\n", - " Rainfall amount (millimetres) \\\n", - "14 38.2 \n", - "27 34.0 \n", - "236 23.5 \n", - "309 24.0 \n", - "319 22.0 \n", - "\n", - " Period over which rainfall was measured (days) Quality \n", - "14 1.0 Y \n", - "27 1.0 Y \n", - "236 1.0 Y \n", - "309 1.0 Y \n", - "319 1.0 Y " - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = dd[dd[\"Rainfall amount (millimetres)\"]> 20]\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 88, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "36680" - ] - }, - "execution_count": 88, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(df)" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "metadata": {}, - "outputs": [], - "source": [ - "df = client.persist(df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Futures Point to Remote Data" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ,\n", - " ]" - ] - }, - "execution_count": 90, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from dask.distributed import futures_of\n", - "\n", - "futures_of(df)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Dask holds onto data for which a future exists" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 91, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Delayed feature provides non-Dask results" - ] - }, - { - "cell_type": "code", - "execution_count": 92, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "dot: graph is too large for cairo-renderer bitmaps. Scaling by 0.809322 to fit\n" - ] - }, - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 92, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.sum().visualize()" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "1236652.3" - ] - }, - "execution_count": 95, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df[\"Rainfall amount (millimetres)\"].sum().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4. Clearing data\n", - "\n", - "We remove data from distributed ram by removing the collection from our local process. Remote data is removed once all Futures pointing to that data are removed from all client machines." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "del df # Deleting local data often deletes remote data" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If this is the only copy then this will likely trigger the cluster to delete the data as well.\n", - "\n", - "However if we have multiple copies or other collections based on this one then we’ll have to delete them all." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "import dask.dataframe as dd\n", - "df = dd.read_csv(filename)\n", - "df2 = df[df[\"Rainfall amount (millimetres)\"] < 10]\n", - "del df2 # would not delete data, because df2 still tracks the futures" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Dask DataFrame Structure:
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Product codeBureau of Meteorology station numberYearMonthDayRainfall amount (millimetres)Period over which rainfall was measured (days)Quality
npartitions=125
objectint64int64int64int64float64float64object
........................
...........................
........................
........................
\n", - "
\n", - "
Dask Name: from-delayed, 375 tasks
" - ], - "text/plain": [ - "Dask DataFrame Structure:\n", - " Product code Bureau of Meteorology station number Year Month Day Rainfall amount (millimetres) Period over which rainfall was measured (days) Quality\n", - "npartitions=125 \n", - " object int64 int64 int64 int64 float64 float64 object\n", - " ... ... ... ... ... ... ... ...\n", - "... ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ...\n", - "Dask Name: from-delayed, 375 tasks" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Aggressively Clearing Data\n", - "\n", - "To definitely remove a computation and all computations that depend on it you can always cancel the futures/collection." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "client.cancel(df) # kills df, df2, and every other dependent computation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Alternatively, if you want a clean slate, you can restart the cluster. This clears all state and does a hard restart of all worker processes. It generally completes in around a second." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

Client

\n", - "\n", - "
\n", - "

Cluster

\n", - "
    \n", - "
  • Workers: 96
  • \n", - "
  • Cores: 96
  • \n", - "
  • Memory: 322.12 GB
  • \n", - "
\n", - "
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "client.restart()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 5. Excution in background\n", - "\n", - "There are many tasks that take a while to complete, but don't actually require much of the CPU, for example anything that requires communication over a network, or input from a user. In typical sequential programming, execution would need to halt while the process completes, and then continue execution. That would be dreadful for a user experience (imagine the slow progress bar that locks up the application and cannot be canceled), and wasteful of time (the CPU could have been doing useful work in the meantime.\n", - "For example, we can launch processes and get their output as follows:\n", - "```python\n", - " import subprocess\n", - " p = subprocess.Popen(command, stdout=subprocess.PIPE)\n", - " p.returncode\n", - "```\n", - "The task is run in a separate process, and the return-code will remain `None` until it completes, when it will change to `0`. To get the result back, we need `out = p.communicate()[0]` (which would block if the process was not complete).\n", - "\n", - "Similarly, we can launch Python processes and threads in the background. Some methods allow mapping over multiple inputs and gathering the results. The thread starts and the cell completes immediately, but the data associated with the download only appears in the queue object some time later." - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "metadata": {}, - "outputs": [], - "source": [ - "import threading\n", - "import queue\n", - "import urllib\n", - "\n", - "def get_webdata(url, q):\n", - " u = urllib.request.urlopen(url)\n", - " # raise ValueError\n", - " q.put(u.read())\n", - "\n", - "q = queue.Queue()\n", - "t = threading.Thread(target=get_webdata, args=('http://dapds00.nci.org.au/thredds/dodsC/rr3/CMIP5/output1/CSIRO-BOM/ACCESS1-0/1pctCO2/day/atmos/day/r1i1p1/latest/pr/pr_day_ACCESS1-0_1pctCO2_r1i1p1_03000101-03241231.nc.html', q))\n", - "t.start()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Note: the cell above won't work if you run this using Pangeo on Gadi as the compute notes do have external internet access. " - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "b'\\nOPeNDAP Dataset Query Form\\n\\n\\n\\n\\n\\n

OPeNDAP Dataset Access Form

\\n
\\n
\\n\\n\\n\\n\\n\\n
\\n

Action:

\\n
\\n\\n\\n
\\n

Data URL:

\\n

\\n\\n
\\n

Global Attributes:

\\n

\\n\\n


\\n\\n
\\n

Variables:

\\n
\\n\\n\\ntime: Array of 64 bit Reals [time = 0..9130]\\n
\\n\\ntime:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\ntime_bnds: Array of 64 bit Reals [time = 0..9130][bnds = 0..1]\\n
\\n\\ntime:\\n\\nbnds:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\nlat: Array of 64 bit Reals [lat = 0..144]\\n
\\n\\nlat:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\nlat_bnds: Array of 64 bit Reals [lat = 0..144][bnds = 0..1]\\n
\\n\\nlat:\\n\\nbnds:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\nlon: Array of 64 bit Reals [lon = 0..191]\\n
\\n\\nlon:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\nlon_bnds: Array of 64 bit Reals [lon = 0..191][bnds = 0..1]\\n
\\n\\nlon:\\n\\nbnds:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n\\n\\npr: Grid
\\n\\ntime:\\n\\nlat:\\n\\nlon:\\n\\n
\\n\\n\\n\\n\\n

\\n\\n

\\n\\n
\\n\\n
\\n\\n
\\n

For questions or comments about this dataset, contact the administrator of this server [Support] at: help@nci.org.au

\\n

For questions or comments about OPeNDAP, email OPeNDAP support at: support@opendap.org

\\n
\\n
\\n

DDS:

\\n
\\nDataset {\\n    Float64 time[time = 9131];\\n    Float64 time_bnds[time = 9131][bnds = 2];\\n    Float64 lat[lat = 145];\\n    Float64 lat_bnds[lat = 145][bnds = 2];\\n    Float64 lon[lon = 192];\\n    Float64 lon_bnds[lon = 192][bnds = 2];\\n    Grid {\\n     ARRAY:\\n        Float32 pr[time = 9131][lat = 145][lon = 192];\\n     MAPS:\\n        Float64 time[time = 9131];\\n        Float64 lat[lat = 145];\\n        Float64 lon[lon = 192];\\n    } pr;\\n} rr3/CMIP5/output1/CSIRO-BOM/ACCESS1-0/1pctCO2/day/atmos/day/r1i1p1/latest/pr/pr_day_ACCESS1-0_1pctCO2_r1i1p1_03000101-03241231.nc;\\n
\\n
\\n'" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# fetch result back into this thread. If the worker thread is not done, this would wait.\n", - "q.get()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Consider: what would you see if there had been an exception within the `get_webdata` function? You could uncomment the `raise` line, above, and re-execute the two cells. What happens? Is there any way to debug the execution to find the reason?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example summarizes some basic strategies of using chunks, dask lazy excution, schedulars, futures and persist utilities for a better performance." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Reference\n", - "https://docs.dask.org/" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_16_bag-checkpoint.ipynb b/.ipynb_checkpoints/Dask_16_bag-checkpoint.ipynb deleted file mode 100755 index 66acdd2..0000000 --- a/.ipynb_checkpoints/Dask_16_bag-checkpoint.ipynb +++ /dev/null @@ -1,1807 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask Bag - CMIP6 Indexer Analysis" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We demonstrate how to use Dask.bag to read and process semi-structured data such as JSON.\n", - "\n", - "* load JSON files\n", - "* Parse json object as dictionary\n", - "* Apply map, filter, group\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask bag, JSON \n", - "- Create Date: 2020-Sep\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## About Dask.bag\n", - "\n", - "Dask-bag excels in processing data that can be represented as a sequence of arbitrary inputs. We'll refer to this as \"messy\" data, because it can contain complex nested structures, missing fields, mixtures of data types, etc. The *functional* programming style fits very nicely with standard Python iteration, such as can be found in the `itertools` module.\n", - "\n", - "Messy data is often encountered at the beginning of data processing pipelines when large volumes of raw data are first consumed. The initial set of data might be JSON, CSV, XML, or any other format that does not enforce strict structure and datatypes.\n", - "For this reason, the initial data massaging and processing is often done with Python `list`s, `dict`s, and `set`s.\n", - "\n", - "These core data structures are optimized for general-purpose storage and processing. Adding streaming computation with iterators/generator expressions or libraries like `itertools` or [`toolz`](https://toolz.readthedocs.io/en/latest/) let us process large volumes in a small space. If we combine this with parallel processing then we can churn through a fair amount of data.\n", - "\n", - "Dask.bag is a high level Dask collection to automate common workloads of this form. In a nutshell\n", - "\n", - " dask.bag = map, filter, toolz + parallel execution" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 164, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='../scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Creation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can create a `Bag` from a Python sequence, from files, or from data on a remote service url, etc. We demonstrate using `.take()` to show elements of the data. (Doing `.take(1)` results in a tuple with one element)\n", - "\n", - "Note that the data are partitioned into blocks, and there are many items per block." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the first example, the two partitions contain five elements each." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(1, 2, 3)" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# each element is an integer\n", - "import dask.bag as db\n", - "b1 = db.from_sequence([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], npartitions=2)\n", - "b1.take(3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the second example, dask bag sequences a list with different data type" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "nested_containers = [[0, 1, 2, 3],{},[6.5, 3.14], 'Python', {'version':3}, '' ]\n", - "b2 = db.from_sequence(nested_containers) \n", - "b2.count().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In the third example, each file is partitioned into one or more bytes blocks." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('{\"Conventions\": [\"CF-1.7 CMIP-6.2\"], \"activity_id\": [\"CMIP\"], \"branch_method\": [\"standard\"], \"creation_date\": [\"2019-11-15T02:37:21Z\"], \"data_specs_version\": [\"01.00.30\"], \"experiment\": [\"1 percent per year increase in CO2\"], \"experiment_id\": [\"1pctCO2\"], \"external_variables\": [\"areacella\"], \"frequency\": [\"mon\"], \"further_info_url\": [\"https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1\"], \"grid\": [\"native atmosphere N96 grid (145x192 latxlon)\"], \"grid_label\": [\"gn\"], \"history\": [\"2019-11-15T02:37:21Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.\"], \"institution\": [\"Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia\"], \"institution_id\": [\"CSIRO\"], \"mip_era\": [\"CMIP6\"], \"nominal_resolution\": [\"250 km\"], \"notes\": [\"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: tasmax ([\\'fld_s03i236_max\\'])\"], \"parent_activity_id\": [\"CMIP\"], \"parent_experiment_id\": [\"piControl\"], \"parent_mip_era\": [\"CMIP6\"], \"parent_source_id\": [\"ACCESS-ESM1-5\"], \"parent_time_units\": [\"days since 0101-01-01\"], \"parent_variant_label\": [\"r1i1p1f1\"], \"product\": [\"model-output\"], \"realm\": [\"atmos\"], \"run_variant\": [\"forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)\"], \"source\": [\"ACCESS-ESM1.5 (2019): \\\\naerosol: CLASSIC (v1.0)\\\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\\\natmosChem: none\\\\nland: CABLE2.4\\\\nlandIce: none\\\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\\\nocnBgchem: WOMBAT (same grid as ocean)\\\\nseaIce: CICE4.1 (same grid as ocean)\"], \"source_id\": [\"ACCESS-ESM1-5\"], \"source_type\": [\"AOGCM\"], \"sub_experiment\": [\"none\"], \"sub_experiment_id\": [\"none\"], \"table_id\": [\"Amon\"], \"table_info\": [\"Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371\"], \"title\": [\"ACCESS-ESM1-5 output prepared for CMIP6\"], \"variable_id\": [\"tasmax\"], \"variant_label\": [\"r1i1p1f1\"], \"version\": [\"v20191115\"], \"cmor_version\": [\"3.4.0\"], \"tracking_id\": [\"hdl:21.14100/6c76911b-9543-47ee-9b8d-9e3e55a6de42\"], \"license\": [\"CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\"]}',)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# each element is a text file, where each line is a JSON object\n", - "import os\n", - "b3 = db.read_text(os.path.join('/g/data/dk92/notebooks/demo_data/cmip6_json','*.json'))\n", - "b3.take(1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Manipulation" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "`Bag` objects hold the standard functional API found in projects like the Python standard library, `toolz`, or `pyspark`, including `map`, `filter`, `groupby`, etc..\n", - "\n", - "Operations on `Bag` objects create new bags." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dask.bag" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# for each even number, calculate the power of 2 of this number\n", - "def is_even(n):\n", - " return n % 2 == 0\n", - "\n", - "b = db.from_sequence([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])\n", - "c = b.filter(is_even).map(lambda x: x ** 2)\n", - "c" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can either convert the dast.bag into a list by calling the `.compute()` method to trigger execution, as we saw for `Delayed` objects. " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[4, 16, 36, 64, 100]" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "list(c)" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[4, 16, 36, 64, 100]" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "d=c.compute()\n", - "d" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### CMIP6 Indexer data example" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This example data are global attributes from some CMIP6 data. Each file is a JSON encoded dictionary with a list of keys, which are basically CMIP6 vocabularies like:\n", - "\n", - "* Conventions: CF-1.7 CMIP-6.2\n", - "* activity_id: CMIP\n", - "* creation_date: 2019-11-15T02:37:21Z\n", - "* experiment: 1 percent per year increase in CO2\n", - "* ...\n", - "\n", - "JavaScript Object Notation - JSON data files has the following great features:\n", - "\n", - "- stored as plain text\n", - "- common web format\n", - "- direct mapping to Python lists & Dictionaries\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Data preprocessing \n", - "\n", - "Dask.bag only take double quotas in the json object. Therefore, we need to replace the single quota with double quota in the json files. " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using Python's glob module to search up all the historical model files." - ] - }, - { - "cell_type": "code", - "execution_count": 161, - "metadata": {}, - "outputs": [], - "source": [ - "import glob\n", - "files = glob.glob('/g/data/dk92/notebooks/demo_data/cmip6_json/*.json')" - ] - }, - { - "cell_type": "code", - "execution_count": 162, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "185" - ] - }, - "execution_count": 162, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(files)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Use json module to read the json file." - ] - }, - { - "cell_type": "code", - "execution_count": 127, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dict" - ] - }, - "execution_count": 127, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import json\n", - "with open(files[0]) as f:\n", - " items = json.load(f)\n", - "type(items)" - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'CMIP6'" - ] - }, - "execution_count": 128, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "items['mip_era']" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "JSON files into Dask Bags" - ] - }, - { - "cell_type": "code", - "execution_count": 129, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('{\"Conventions\": \"CF-1.7 CMIP-6.2\", \"activity_id\": \"CMIP\", \"branch_method\": \"standard\", \"creation_date\": \"2019-11-15T02:38:12Z\", \"data_specs_version\": \"01.00.30\", \"experiment\": \"1 percent per year increase in CO2\", \"experiment_id\": \"1pctCO2\", \"external_variables\": \"areacella\", \"frequency\": \"mon\", \"further_info_url\": \"https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1\", \"grid\": \"native atmosphere N96 grid (145x192 latxlon)\", \"grid_label\": \"gn\", \"history\": \"2019-11-15T02:38:12Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.\", \"institution\": \"Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia\", \"institution_id\": \"CSIRO\", \"mip_era\": \"CMIP6\", \"nominal_resolution\": \"250 km\", \"notes\": \"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: tas ([\\'fld_s03i236\\'])\", \"parent_activity_id\": \"CMIP\", \"parent_experiment_id\": \"piControl\", \"parent_mip_era\": \"CMIP6\", \"parent_source_id\": \"ACCESS-ESM1-5\", \"parent_time_units\": \"days since 0101-01-01\", \"parent_variant_label\": \"r1i1p1f1\", \"product\": \"model-output\", \"realm\": \"atmos\", \"run_variant\": \"forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)\", \"source\": \"ACCESS-ESM1.5 (2019): \\\\naerosol: CLASSIC (v1.0)\\\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\\\natmosChem: none\\\\nland: CABLE2.4\\\\nlandIce: none\\\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\\\nocnBgchem: WOMBAT (same grid as ocean)\\\\nseaIce: CICE4.1 (same grid as ocean)\", \"source_id\": \"ACCESS-ESM1-5\", \"source_type\": \"AOGCM\", \"sub_experiment\": \"none\", \"sub_experiment_id\": \"none\", \"table_id\": \"Amon\", \"table_info\": \"Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371\", \"title\": \"ACCESS-ESM1-5 output prepared for CMIP6\", \"variable_id\": \"tas\", \"variant_label\": \"r1i1p1f1\", \"version\": \"v20191115\", \"cmor_version\": \"3.4.0\", \"tracking_id\": \"hdl:21.14100/b3f4469e-2417-4123-bfb9-ef2cc8415cdd\", \"license\": \"CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\"}',)" - ] - }, - "execution_count": 129, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.bag as db\n", - "items = db.read_text(files[0]) \n", - "items.take(1) # Note: tuple containing a string, but I want a dictionary" - ] - }, - { - "cell_type": "code", - "execution_count": 130, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "({'Conventions': 'CF-1.7 CMIP-6.2',\n", - " 'activity_id': 'CMIP',\n", - " 'branch_method': 'standard',\n", - " 'creation_date': '2019-11-15T02:38:12Z',\n", - " 'data_specs_version': '01.00.30',\n", - " 'experiment': '1 percent per year increase in CO2',\n", - " 'experiment_id': '1pctCO2',\n", - " 'external_variables': 'areacella',\n", - " 'frequency': 'mon',\n", - " 'further_info_url': 'https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1',\n", - " 'grid': 'native atmosphere N96 grid (145x192 latxlon)',\n", - " 'grid_label': 'gn',\n", - " 'history': '2019-11-15T02:38:12Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.',\n", - " 'institution': 'Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia',\n", - " 'institution_id': 'CSIRO',\n", - " 'mip_era': 'CMIP6',\n", - " 'nominal_resolution': '250 km',\n", - " 'notes': \"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: tas (['fld_s03i236'])\",\n", - " 'parent_activity_id': 'CMIP',\n", - " 'parent_experiment_id': 'piControl',\n", - " 'parent_mip_era': 'CMIP6',\n", - " 'parent_source_id': 'ACCESS-ESM1-5',\n", - " 'parent_time_units': 'days since 0101-01-01',\n", - " 'parent_variant_label': 'r1i1p1f1',\n", - " 'product': 'model-output',\n", - " 'realm': 'atmos',\n", - " 'run_variant': 'forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)',\n", - " 'source': 'ACCESS-ESM1.5 (2019): \\naerosol: CLASSIC (v1.0)\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\natmosChem: none\\nland: CABLE2.4\\nlandIce: none\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\nocnBgchem: WOMBAT (same grid as ocean)\\nseaIce: CICE4.1 (same grid as ocean)',\n", - " 'source_id': 'ACCESS-ESM1-5',\n", - " 'source_type': 'AOGCM',\n", - " 'sub_experiment': 'none',\n", - " 'sub_experiment_id': 'none',\n", - " 'table_id': 'Amon',\n", - " 'table_info': 'Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371',\n", - " 'title': 'ACCESS-ESM1-5 output prepared for CMIP6',\n", - " 'variable_id': 'tas',\n", - " 'variant_label': 'r1i1p1f1',\n", - " 'version': 'v20191115',\n", - " 'cmor_version': '3.4.0',\n", - " 'tracking_id': 'hdl:21.14100/b3f4469e-2417-4123-bfb9-ef2cc8415cdd',\n", - " 'license': 'CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.'},)" - ] - }, - "execution_count": 130, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dask.bag as db\n", - "items = db.read_text(files[0]).map(json.loads)\n", - "items.take(1) # Note: tuple containing a dictionary" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Basic Queries" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once we parse our JSON data into proper Python objects (`dict`s, `list`s, etc.) we can perform more interesting queries by creating small Python functions to run on our data." - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dask.bag" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "js = db.read_text('/g/data/dk92/notebooks/demo_data/cmip6_json/*.json').map(json.loads)\n", - "js" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "({'Conventions': 'CF-1.7 CMIP-6.2',\n", - " 'activity_id': 'CMIP',\n", - " 'branch_method': 'standard',\n", - " 'creation_date': '2019-11-15T02:37:21Z',\n", - " 'data_specs_version': '01.00.30',\n", - " 'experiment': '1 percent per year increase in CO2',\n", - " 'experiment_id': '1pctCO2',\n", - " 'external_variables': 'areacella',\n", - " 'frequency': 'mon',\n", - " 'further_info_url': 'https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1',\n", - " 'grid': 'native atmosphere N96 grid (145x192 latxlon)',\n", - " 'grid_label': 'gn',\n", - " 'history': '2019-11-15T02:37:21Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.',\n", - " 'institution': 'Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia',\n", - " 'institution_id': 'CSIRO',\n", - " 'mip_era': 'CMIP6',\n", - " 'nominal_resolution': '250 km',\n", - " 'notes': \"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: tasmax (['fld_s03i236_max'])\",\n", - " 'parent_activity_id': 'CMIP',\n", - " 'parent_experiment_id': 'piControl',\n", - " 'parent_mip_era': 'CMIP6',\n", - " 'parent_source_id': 'ACCESS-ESM1-5',\n", - " 'parent_time_units': 'days since 0101-01-01',\n", - " 'parent_variant_label': 'r1i1p1f1',\n", - " 'product': 'model-output',\n", - " 'realm': 'atmos',\n", - " 'run_variant': 'forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)',\n", - " 'source': 'ACCESS-ESM1.5 (2019): \\naerosol: CLASSIC (v1.0)\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\natmosChem: none\\nland: CABLE2.4\\nlandIce: none\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\nocnBgchem: WOMBAT (same grid as ocean)\\nseaIce: CICE4.1 (same grid as ocean)',\n", - " 'source_id': 'ACCESS-ESM1-5',\n", - " 'source_type': 'AOGCM',\n", - " 'sub_experiment': 'none',\n", - " 'sub_experiment_id': 'none',\n", - " 'table_id': 'Amon',\n", - " 'table_info': 'Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371',\n", - " 'title': 'ACCESS-ESM1-5 output prepared for CMIP6',\n", - " 'variable_id': 'tasmax',\n", - " 'variant_label': 'r1i1p1f1',\n", - " 'version': 'v20191115',\n", - " 'cmor_version': '3.4.0',\n", - " 'tracking_id': 'hdl:21.14100/6c76911b-9543-47ee-9b8d-9e3e55a6de42',\n", - " 'license': 'CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.'},\n", - " {'Conventions': 'CF-1.7 CMIP-6.2',\n", - " 'activity_id': 'CMIP',\n", - " 'branch_method': 'standard',\n", - " 'creation_date': '2019-11-15T02:38:12Z',\n", - " 'data_specs_version': '01.00.30',\n", - " 'experiment': '1 percent per year increase in CO2',\n", - " 'experiment_id': '1pctCO2',\n", - " 'external_variables': 'areacella',\n", - " 'frequency': 'mon',\n", - " 'further_info_url': 'https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1',\n", - " 'grid': 'native atmosphere N96 grid (145x192 latxlon)',\n", - " 'grid_label': 'gn',\n", - " 'history': '2019-11-15T02:38:12Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.',\n", - " 'institution': 'Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia',\n", - " 'institution_id': 'CSIRO',\n", - " 'mip_era': 'CMIP6',\n", - " 'nominal_resolution': '250 km',\n", - " 'notes': \"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: pr (['fld_s05i216'])\",\n", - " 'parent_activity_id': 'CMIP',\n", - " 'parent_experiment_id': 'piControl',\n", - " 'parent_mip_era': 'CMIP6',\n", - " 'parent_source_id': 'ACCESS-ESM1-5',\n", - " 'parent_time_units': 'days since 0101-01-01',\n", - " 'parent_variant_label': 'r1i1p1f1',\n", - " 'product': 'model-output',\n", - " 'realm': 'atmos',\n", - " 'run_variant': 'forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)',\n", - " 'source': 'ACCESS-ESM1.5 (2019): \\naerosol: CLASSIC (v1.0)\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\natmosChem: none\\nland: CABLE2.4\\nlandIce: none\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\nocnBgchem: WOMBAT (same grid as ocean)\\nseaIce: CICE4.1 (same grid as ocean)',\n", - " 'source_id': 'ACCESS-ESM1-5',\n", - " 'source_type': 'AOGCM',\n", - " 'sub_experiment': 'none',\n", - " 'sub_experiment_id': 'none',\n", - " 'table_id': 'Amon',\n", - " 'table_info': 'Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371',\n", - " 'title': 'ACCESS-ESM1-5 output prepared for CMIP6',\n", - " 'variable_id': 'pr',\n", - " 'variant_label': 'r1i1p1f1',\n", - " 'version': 'v20191115',\n", - " 'cmor_version': '3.4.0',\n", - " 'tracking_id': 'hdl:21.14100/a8efb353-0fe8-4b24-bb8f-97bc10d69191',\n", - " 'license': 'CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.'},\n", - " {'Conventions': 'CF-1.7 CMIP-6.2',\n", - " 'activity_id': 'CMIP',\n", - " 'branch_method': 'standard',\n", - " 'creation_date': '2019-11-21T05:16:17Z',\n", - " 'data_specs_version': '01.00.30',\n", - " 'experiment': '1 percent per year increase in CO2',\n", - " 'experiment_id': '1pctCO2',\n", - " 'external_variables': 'areacella',\n", - " 'frequency': 'mon',\n", - " 'further_info_url': 'https://furtherinfo.es-doc.org/CMIP6.CSIRO.ACCESS-ESM1-5.1pctCO2.none.r1i1p1f1',\n", - " 'grid': 'native atmosphere N96 grid (145x192 latxlon)',\n", - " 'grid_label': 'gn',\n", - " 'history': '2019-11-21T05:16:17Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.',\n", - " 'institution': 'Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia',\n", - " 'institution_id': 'CSIRO',\n", - " 'mip_era': 'CMIP6',\n", - " 'nominal_resolution': '250 km',\n", - " 'notes': \"Exp: ESM-1pctCO2; Local ID: PI-1pct-01; Variable: ua (['fld_s30i201'])\",\n", - " 'parent_activity_id': 'CMIP',\n", - " 'parent_experiment_id': 'piControl',\n", - " 'parent_mip_era': 'CMIP6',\n", - " 'parent_source_id': 'ACCESS-ESM1-5',\n", - " 'parent_time_units': 'days since 0101-01-01',\n", - " 'parent_variant_label': 'r1i1p1f1',\n", - " 'product': 'model-output',\n", - " 'realm': 'atmos',\n", - " 'run_variant': 'forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)',\n", - " 'source': 'ACCESS-ESM1.5 (2019): \\naerosol: CLASSIC (v1.0)\\natmos: HadGAM2 (r1.1, N96; 192 x 145 longitude/latitude; 38 levels; top level 39255 m)\\natmosChem: none\\nland: CABLE2.4\\nlandIce: none\\nocean: ACCESS-OM2 (MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\nocnBgchem: WOMBAT (same grid as ocean)\\nseaIce: CICE4.1 (same grid as ocean)',\n", - " 'source_id': 'ACCESS-ESM1-5',\n", - " 'source_type': 'AOGCM',\n", - " 'sub_experiment': 'none',\n", - " 'sub_experiment_id': 'none',\n", - " 'table_id': 'Amon',\n", - " 'table_info': 'Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371',\n", - " 'title': 'ACCESS-ESM1-5 output prepared for CMIP6',\n", - " 'variable_id': 'ua',\n", - " 'variant_label': 'r1i1p1f1',\n", - " 'version': 'v20191115',\n", - " 'cmor_version': '3.4.0',\n", - " 'tracking_id': 'hdl:21.14100/a749735e-4735-49c0-9ca3-85dd35a2e0b6',\n", - " 'license': 'CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.'})" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# repartition the bag so that `.take()` will return the number of elements as you want.\n", - "js1 = js.repartition(1)\n", - "js1.take(3)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "List all the variables using `.map()`:" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "text/plain": [ - "['tasmax',\n", - " 'pr',\n", - " 'ua',\n", - " 'ua',\n", - " 'ua',\n", - " 'huss',\n", - " 'huss',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'pfull',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'cl',\n", - " 'pfull',\n", - " 'cl',\n", - " 'rsus',\n", - " 'rsus',\n", - " 'rlus',\n", - " 'rlus',\n", - " 'vas',\n", - " 'vas',\n", - " 'sci',\n", - " 'sci',\n", - " 'prsn',\n", - " 'rsutcs',\n", - " 'prsn',\n", - " 'tasmin',\n", - " 'tasmin',\n", - " 'tauv',\n", - " 'tauv',\n", - " 'evspsbl',\n", - " 'evspsbl',\n", - " 'hurs',\n", - " 'hurs',\n", - " 'rlutcs',\n", - " 'rsutcs',\n", - " 'rlutcs',\n", - " 'prw',\n", - " 'prw',\n", - " 'prc',\n", - " 'prc',\n", - " 'ta',\n", - " 'ta',\n", - " 'ta',\n", - " 'ta',\n", - " 'rsut',\n", - " 'zg',\n", - " 'rsut',\n", - " 'rlut',\n", - " 'rlut',\n", - " 'rsdscs',\n", - " 'rsdscs',\n", - " 'vas',\n", - " 'ua',\n", - " 'tasmax',\n", - " 'ps',\n", - " 'uas',\n", - " 'zg',\n", - " 'cl',\n", - " 'evspsbl',\n", - " 'wap',\n", - " 'tas',\n", - " 'hfls',\n", - " 'hfss',\n", - " 'zg',\n", - " 'pr',\n", - " 'cct',\n", - " 'rsus',\n", - " 'zg',\n", - " 'rlut',\n", - " 'rsut',\n", - " 'psl',\n", - " 'tauv',\n", - " 'hurs',\n", - " 'clt',\n", - " 'tasmin',\n", - " 'hus',\n", - " 'sfcWind',\n", - " 'rsdt',\n", - " 'zg',\n", - " 'va',\n", - " 'rlds',\n", - " 'rsds',\n", - " 'huss',\n", - " 'tauu',\n", - " 'ts',\n", - " 'cli',\n", - " 'tasmax',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'rldscs',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'cli',\n", - " 'hfls',\n", - " 'hfls',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'rldscs',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'hus',\n", - " 'clw',\n", - " 'clw',\n", - " 'clw',\n", - " 'hfss',\n", - " 'hfss',\n", - " 'va',\n", - " 'va',\n", - " 'va',\n", - " 'va',\n", - " 'sbl',\n", - " 'hus',\n", - " 'sbl',\n", - " 'clt',\n", - " 'clt',\n", - " 'sfcWind',\n", - " 'sfcWind',\n", - " 'ts',\n", - " 'ts',\n", - " 'psl',\n", - " 'psl',\n", - " 'rtmt',\n", - " 'hus',\n", - " 'rtmt',\n", - " 'rsdt',\n", - " 'rsdt',\n", - " 'uas',\n", - " 'uas',\n", - " 'clivi',\n", - " 'clivi',\n", - " 'phalf',\n", - " 'phalf',\n", - " 'hur',\n", - " 'hus',\n", - " 'hur',\n", - " 'hur',\n", - " 'hur',\n", - " 'tauu',\n", - " 'tauu',\n", - " 'ps',\n", - " 'ps',\n", - " 'rsuscs',\n", - " 'rsuscs',\n", - " 'tas',\n", - " 'pr',\n", - " 'tas',\n", - " 'wap',\n", - " 'wap',\n", - " 'wap',\n", - " 'wap',\n", - " 'rsds',\n", - " 'rsds',\n", - " 'rlds',\n", - " 'rlds',\n", - " 'ua']" - ] - }, - "execution_count": 147, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "js.map(lambda record: record['variable_id']).compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Find out how many files with variable `cli` using `.filter()`:" - ] - }, - { - "cell_type": "code", - "execution_count": 165, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "16" - ] - }, - "execution_count": 165, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "specific_item = js.filter(lambda element: element['variable_id'] == 'cli')\n", - "specific_item.count().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Find out how many data files have the nominal resolution of 250 km." - ] - }, - { - "cell_type": "code", - "execution_count": 149, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "185" - ] - }, - "execution_count": 149, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "d_250km = js.filter(lambda element: element['nominal_resolution'] == '250 km').count().compute()\n", - "d_250km" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It is common to do many of these steps in one pipeline, only calling `compute` or `take` at the end." - ] - }, - { - "cell_type": "code", - "execution_count": 150, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dask.bag" - ] - }, - "execution_count": 150, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result = (js1.filter(lambda element: element['variable_id'] == 'cli')\n", - " .map(lambda element: element['tracking_id']))\n", - "result" - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "('hdl:21.14100/bf8714fa-75e9-4991-8a78-65ff3c9d0c09',\n", - " 'hdl:21.14100/07afabcd-2671-43b2-be80-8898b500c380',\n", - " 'hdl:21.14100/bc0186a4-5032-4f5f-bb8f-f9ea1b1fb840',\n", - " 'hdl:21.14100/03314b2e-bccd-43f2-9971-4ea064dd4168',\n", - " 'hdl:21.14100/484c86d8-495d-4b19-aec9-9b64c9bb9c3e')" - ] - }, - "execution_count": 151, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.take(5)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Groupby and Foldby" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Often we want to group data by some function or key. We can do this either with the `.groupby` method, which is straightforward but forces a full shuffle of the data (expensive) or with the harder-to-use but faster `.foldby` method, which does a streaming combined groupby and reduction.\n", - "\n", - "* `groupby`: Shuffles data so that all items with the same key are in the same key-value pair\n", - "* `foldby`: Walks through the data accumulating a result per key\n", - "\n", - "*Note: the full groupby is particularly bad. In actual workloads you would do well to use `foldby` or switch to `DataFrame`s if possible.*" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### `groupby`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Groupby collects items in your collection so that all items with the same value under some function are collected together into a key-value pair." - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "dask.bag" - ] - }, - "execution_count": 152, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result = js.groupby(lambda item: item['institution_id'])\n", - "result" - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[('CSIRO', 18), ('CSIRO', 19), ('CSIRO', 19), ('CSIRO', 19), ('CSIRO', 19), ('CSIRO', 20), ('CSIRO', 20), ('CSIRO', 20), ('IPSL', 3), ('IPSL', 4), ('IPSL', 4), ('IPSL', 4), ('IPSL', 4), ('IPSL', 4), ('IPSL', 8)]\n", - "CPU times: user 2.05 s, sys: 76.2 ms, total: 2.12 s\n", - "Wall time: 2.12 s\n" - ] - } - ], - "source": [ - "%%time\n", - "result = js.groupby(lambda item: item['institution_id']).starmap(lambda k, v: (k, len(v))).compute()\n", - "print(sorted(result))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### `foldby`" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Foldby can be quite odd at first. It is similar to the following functions from other libraries:\n", - "\n", - "* [`toolz.reduceby`](http://toolz.readthedocs.io/en/latest/streaming-analytics.html#streaming-split-apply-combine)\n", - "* [`pyspark.RDD.combineByKey`](http://abshinn.github.io/python/apache-spark/2014/10/11/using-combinebykey-in-apache-spark/)\n", - "\n", - "When using `foldby` you provide \n", - "\n", - "1. A key function on which to group elements\n", - "2. A binary operator such as you would pass to `reduce` that you use to perform reduction per each group\n", - "3. A combine binary operator that can combine the results of two `reduce` calls on different parts of your dataset.\n", - "\n", - "Your reduction must be associative. It will happen in parallel in each of the partitions of your dataset. Then all of these intermediate results will be combined by the `combine` binary operator." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We find the number of institute with the same name." - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[('CSIRO', 154), ('IPSL', 31)]\n", - "CPU times: user 514 ms, sys: 24 ms, total: 538 ms\n", - "Wall time: 553 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "# This one is comparatively fast and produces the same result.\n", - "from operator import add\n", - "def incr(tot, _):\n", - " return tot+1\n", - "\n", - "result = js.foldby(key='institution_id', \n", - " binop=incr, \n", - " initial=0, \n", - " combine=add, \n", - " combine_initial=0).compute()\n", - "print(sorted(result))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## DataFrames" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For the same reasons that Pandas is often faster than pure Python, `dask.dataframe` can be faster than `dask.bag`. DataFrames are frequently the end-point of the \"messy\" part of data ingestion—once the data can be made into a data-frame, then complex split-apply-combine logic will become much more straight-forward and efficient.\n", - "\n", - "You can transform a bag with a simple tuple or flat dictionary structure into a `dask.dataframe` with the `to_dataframe` method." - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
Dask DataFrame Structure:
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Conventionsactivity_idbranch_methodcreation_datedata_specs_versionexperimentexperiment_idexternal_variablesfrequencyfurther_info_urlgridgrid_labelhistoryinstitutioninstitution_idmip_eranominal_resolutionnotesparent_activity_idparent_experiment_idparent_mip_eraparent_source_idparent_time_unitsparent_variant_labelproductrealmrun_variantsourcesource_idsource_typesub_experimentsub_experiment_idtable_idtable_infotitlevariable_idvariant_labelversioncmor_versiontracking_idlicense
npartitions=185
objectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobjectobject
...........................................................................................................................
..............................................................................................................................
...........................................................................................................................
...........................................................................................................................
\n", - "
\n", - "
Dask Name: to_dataframe, 555 tasks
" - ], - "text/plain": [ - "Dask DataFrame Structure:\n", - " Conventions activity_id branch_method creation_date data_specs_version experiment experiment_id external_variables frequency further_info_url grid grid_label history institution institution_id mip_era nominal_resolution notes parent_activity_id parent_experiment_id parent_mip_era parent_source_id parent_time_units parent_variant_label product realm run_variant source source_id source_type sub_experiment sub_experiment_id table_id table_info title variable_id variant_label version cmor_version tracking_id license\n", - "npartitions=185 \n", - " object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object object\n", - " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", - "... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", - " ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...\n", - "Dask Name: to_dataframe, 555 tasks" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df = js.to_dataframe()\n", - "df" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This now looks like a well-defined DataFrame, and we can apply Pandas-like computations to it efficiently." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Using a Dask DataFrame, how long does it take to do our prior computation of numbers of institues with the same name? It turns out that `dask.dataframe.groupby()` is faster than `dask.bag.groupby()` ; but it still cannot match `dask.bag.foldby()` for this case." - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 157, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df.groupby('institution_id')" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 536 ms, sys: 38.8 ms, total: 575 ms\n", - "Wall time: 1.24 s\n" - ] - }, - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Conventionsactivity_idbranch_methodcreation_datedata_specs_versionexperimentexperiment_idexternal_variablesfrequencyfurther_info_url...sub_experiment_idtable_idtable_infotitlevariable_idvariant_labelversioncmor_versiontracking_idlicense
institution_id
CSIRO154154154154154154154154154154...154154154154154154154154154154
IPSL31313131313131313131...31310313131003131
\n", - "

2 rows × 40 columns

\n", - "
" - ], - "text/plain": [ - " Conventions activity_id branch_method creation_date \\\n", - "institution_id \n", - "CSIRO 154 154 154 154 \n", - "IPSL 31 31 31 31 \n", - "\n", - " data_specs_version experiment experiment_id \\\n", - "institution_id \n", - "CSIRO 154 154 154 \n", - "IPSL 31 31 31 \n", - "\n", - " external_variables frequency further_info_url ... \\\n", - "institution_id ... \n", - "CSIRO 154 154 154 ... \n", - "IPSL 31 31 31 ... \n", - "\n", - " sub_experiment_id table_id table_info title variable_id \\\n", - "institution_id \n", - "CSIRO 154 154 154 154 154 \n", - "IPSL 31 31 0 31 31 \n", - "\n", - " variant_label version cmor_version tracking_id license \n", - "institution_id \n", - "CSIRO 154 154 154 154 154 \n", - "IPSL 31 0 0 31 31 \n", - "\n", - "[2 rows x 40 columns]" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time df.groupby('institution_id').count().compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Limitations" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Bags provide very general computation (any Python function.) This generality\n", - "comes at cost. Bags have the following known limitations\n", - "\n", - "1. Bag operations tend to be slower than array/dataframe computations in the\n", - " same way that Python tends to be slower than NumPy/Pandas\n", - "2. ``Bag.groupby`` is slow. You should try to use ``Bag.foldby`` if possible.\n", - " Using ``Bag.foldby`` requires more thought. Even better, consider creating\n", - " a normalised dataframe." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Shutdown" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.shutdown()" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_17_machine_learning-checkpoint.ipynb b/.ipynb_checkpoints/Dask_17_machine_learning-checkpoint.ipynb deleted file mode 100755 index d91d01e..0000000 --- a/.ipynb_checkpoints/Dask_17_machine_learning-checkpoint.ipynb +++ /dev/null @@ -1,686 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Dask for Machine Learning\n", - "\n", - "* Scaling problems and \n", - "* Distributed training\n", - "* Train larger-than-memory datasets\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Machine Learning, Dask-ML, Training, Scaling\n", - "- Create Date: 2020-Sep\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Set up\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 45119 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "

Client

\n", - "\n", - "
\n", - "

Cluster

\n", - "
    \n", - "
  • Workers: 4
  • \n", - "
  • Cores: 8
  • \n", - "
  • Memory: 33.56 GB
  • \n", - "
\n", - "
" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client, progress\n", - "client = Client()\n", - "client" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Types of Scaling\n", - "\n", - "There are a couple of distinct scaling problems you might face.\n", - "The scaling strategy depends on which problem you're facing.\n", - "\n", - "1. CPU-Bound: Data fits in RAM, but training takes too long. Many hyperparameter combinations, a large ensemble of many models, etc.\n", - "2. Memory-bound: Data is larger than RAM, and sampling isn't an option.\n", - "\n", - "![](images/ml-dimensions.png)\n", - "\n", - "* For in-memory problems, just use scikit-learn (or your favorite ML library).\n", - "* For large models, use `dask_ml.joblib` and your favorite scikit-learn estimator\n", - "* For large datasets, use `dask_ml` estimators. [Dask-ML](http://dask-ml.readthedocs.io/en/latest/index.html) implements scalable machine learning algorithms that are compatible with scikit-learn.\n", - "\n", - "Dask integrates well with machine learning libraries like [scikit-learn](http://scikit-learn.org/).\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Distributed Training\n", - "\n", - "Scikit-learn uses [joblib](http://joblib.readthedocs.io/) for single-machine parallelism. This lets you train most estimators (anything that accepts an `n_jobs` parameter) using all the cores of your laptop or workstation.\n", - "\n", - "Dask registers a joblib backend. This lets you train those estimators using all the cores of your *cluster*, by changing one line of code. \n", - "\n", - "This is most useful for training large models on medium-sized datasets. You may have a large model when searching over many hyper-parameters, or when using an ensemble method with many individual estimators. For too small datasets, training times will typically be small enough that cluster-wide parallelism isn't helpful. For too large datasets (larger than a single machine's memory), the scikit-learn estimators may not be able to cope (see below)." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "from sklearn.datasets import make_classification\n", - "from sklearn.svm import SVC\n", - "from sklearn.model_selection import GridSearchCV\n", - "import pandas as pd" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll use scikit-learn to create a pair of small random arrays, one for the features `X`, and one for the target `y`." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([[-1.06377997, 0.67640868, 1.06935647, -0.21758002, 0.46021477,\n", - " -0.39916689, -0.07918751, 1.20938491, -0.78531472, -0.17218611,\n", - " -1.08535744, -0.99311895, 0.30693511, 0.06405769, -1.0542328 ,\n", - " -0.52749607, -0.0741832 , -0.35562842, 1.05721416, -0.90259159],\n", - " [ 0.0708476 , -1.69528125, 2.44944917, -0.5304942 , -0.93296221,\n", - " 2.86520354, 2.43572851, -1.61850016, 1.30071691, 0.34840246,\n", - " 0.54493439, 0.22532411, 0.60556322, -0.19210097, -0.06802699,\n", - " 0.9716812 , -1.79204799, 0.01708348, -0.37566904, -0.62323644],\n", - " [ 0.94028404, -0.49214582, 0.67795602, -0.22775445, 1.40175261,\n", - " 1.23165333, -0.77746425, 0.01561602, 1.33171299, 1.08477266,\n", - " -0.97805157, -0.05012039, 0.94838552, -0.17342825, -0.47767184,\n", - " 0.76089649, 1.00115812, -0.06946407, 1.35904607, -1.18958963],\n", - " [-0.29951677, 0.75988955, 0.18280267, -1.55023271, 0.33821802,\n", - " 0.36324148, -2.10052547, -0.4380675 , -0.16639343, -0.34083531,\n", - " 0.42435643, 1.17872434, 2.8314804 , 0.14241375, -0.20281911,\n", - " 2.40571546, 0.31330473, 0.40435568, -0.28754632, -2.8478034 ],\n", - " [-2.63062675, 0.23103376, 0.04246253, 0.47885055, 1.54674163,\n", - " 1.6379556 , -1.53207229, -0.73444479, 0.46585484, 0.4738362 ,\n", - " 0.98981401, -1.06119392, -0.88887952, 1.23840892, -0.57282854,\n", - " -1.27533949, 1.0030065 , -0.47712843, 0.09853558, 0.52780407]])" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X, y = make_classification(n_samples=1000, random_state=0)\n", - "X[:5]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll fit a [Support Vector Classifier](http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html), using [grid search](http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html) to find the best combination of hyperparameters." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "param_grid = {\"C\": [0.001, 0.01, 0.1, 0.5, 1.0, 2.0, 5.0, 10.0],\n", - " \"kernel\": ['rbf', 'poly', 'sigmoid'],\n", - " \"shrinking\": [True, False]}\n", - "\n", - "grid_search = GridSearchCV(SVC(gamma='auto', random_state=0, probability=True),\n", - " param_grid=param_grid,\n", - " return_train_score=False,\n", - " n_jobs=-1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "To fit that normally, we'd call\n", - "\n", - "```python\n", - "grid_search.fit(X, y)\n", - "```\n", - "\n", - "To fit it using the cluster, we just need to use a context manager provided by joblib.\n", - "We'll pre-scatter the data to each worker, which can help with performance." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "import joblib\n", - "\n", - "with joblib.parallel_backend('dask', scatter=[X, y]):\n", - " grid_search.fit(X, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We fit 48 different models, one for each hyper-parameter combination in `param_grid`, distributed across the cluster. At this point, we have a regular scikit-learn model, which can be used for prediction, scoring, etc." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
mean_fit_timestd_fit_timemean_score_timestd_score_timeparam_Cparam_kernelparam_shrinkingparamssplit0_test_scoresplit1_test_scoresplit2_test_scoresplit3_test_scoresplit4_test_scoremean_test_scorestd_test_scorerank_test_score
00.1960940.0162780.0078230.0005510.001rbfTrue{'C': 0.001, 'kernel': 'rbf', 'shrinking': True}0.5050.5050.50.50.50.5020.00244943
10.2077920.0306760.0093440.0031590.001rbfFalse{'C': 0.001, 'kernel': 'rbf', 'shrinking': False}0.5050.5050.50.50.50.5020.00244943
20.1478470.0475980.0056410.0021420.001polyTrue{'C': 0.001, 'kernel': 'poly', 'shrinking': True}0.5050.5050.50.50.50.5020.00244943
30.1034600.0069600.0044000.0007800.001polyFalse{'C': 0.001, 'kernel': 'poly', 'shrinking': Fa...0.5050.5050.50.50.50.5020.00244943
40.2033870.0065230.0090240.0010660.001sigmoidTrue{'C': 0.001, 'kernel': 'sigmoid', 'shrinking':...0.5050.5050.50.50.50.5020.00244943
\n", - "
" - ], - "text/plain": [ - " mean_fit_time std_fit_time mean_score_time std_score_time param_C \\\n", - "0 0.196094 0.016278 0.007823 0.000551 0.001 \n", - "1 0.207792 0.030676 0.009344 0.003159 0.001 \n", - "2 0.147847 0.047598 0.005641 0.002142 0.001 \n", - "3 0.103460 0.006960 0.004400 0.000780 0.001 \n", - "4 0.203387 0.006523 0.009024 0.001066 0.001 \n", - "\n", - " param_kernel param_shrinking \\\n", - "0 rbf True \n", - "1 rbf False \n", - "2 poly True \n", - "3 poly False \n", - "4 sigmoid True \n", - "\n", - " params split0_test_score \\\n", - "0 {'C': 0.001, 'kernel': 'rbf', 'shrinking': True} 0.505 \n", - "1 {'C': 0.001, 'kernel': 'rbf', 'shrinking': False} 0.505 \n", - "2 {'C': 0.001, 'kernel': 'poly', 'shrinking': True} 0.505 \n", - "3 {'C': 0.001, 'kernel': 'poly', 'shrinking': Fa... 0.505 \n", - "4 {'C': 0.001, 'kernel': 'sigmoid', 'shrinking':... 0.505 \n", - "\n", - " split1_test_score split2_test_score split3_test_score split4_test_score \\\n", - "0 0.505 0.5 0.5 0.5 \n", - "1 0.505 0.5 0.5 0.5 \n", - "2 0.505 0.5 0.5 0.5 \n", - "3 0.505 0.5 0.5 0.5 \n", - "4 0.505 0.5 0.5 0.5 \n", - "\n", - " mean_test_score std_test_score rank_test_score \n", - "0 0.502 0.002449 43 \n", - "1 0.502 0.002449 43 \n", - "2 0.502 0.002449 43 \n", - "3 0.502 0.002449 43 \n", - "4 0.502 0.002449 43 " - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "pd.DataFrame(grid_search.cv_results_).head()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0, 1, 1, 1, 0])" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "grid_search.predict(X)[:5]" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "0.989" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "grid_search.score(X, y)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For more on training scikit-learn models with distributed joblib, see the [dask-ml documentation](http://dask-ml.readthedocs.io/en/latest/joblib.html)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Training on Large Datasets\n", - "\n", - "Most estimators in scikit-learn are designed to work on in-memory arrays. Training with larger datasets may require different algorithms.\n", - "\n", - "All of the algorithms implemented in Dask-ML work well on larger than memory datasets, which you might store in a [dask array](http://dask.pydata.org/en/latest/array.html) or [dataframe](http://dask.pydata.org/en/latest/dataframe.html)." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "import dask_ml.datasets\n", - "import dask_ml.cluster\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this example, we'll use `dask_ml.datasets.make_blobs` to generate some random *dask* arrays." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 160.00 MB 16.00 MB
Shape (10000000, 2) (1000000, 2)
Count 10 Tasks 10 Chunks
Type float64 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 2\n", - " 10000000\n", - "\n", - "
" - ], - "text/plain": [ - "dask.array" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X, y = dask_ml.datasets.make_blobs(n_samples=10000000,\n", - " chunks=1000000,\n", - " random_state=0,\n", - " centers=3)\n", - "X = X.persist()\n", - "X" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll use the k-means implemented in Dask-ML to cluster the points. It uses the `k-means||` (read: \"k-means parallel\") initialization algorithm, which scales better than `k-means++`. All of the computation, both during and after initialization, can be done in parallel." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "KMeans(init_max_iter=2, n_clusters=3, oversampling_factor=10)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "km = dask_ml.cluster.KMeans(n_clusters=3, init_max_iter=2, oversampling_factor=10)\n", - "km.fit(X)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We'll plot a sample of points, colored by the cluster each falls into." - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots()\n", - "ax.scatter(X[::10000, 0], X[::10000, 1], marker='.', c=km.labels_[::10000],\n", - " cmap='viridis', alpha=0.25);" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "For all the estimators implemented in Dask-ML, see the [API documentation](http://dask-ml.readthedocs.io/en/latest/modules/api.html)." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/myfile-checkpoint.html b/.ipynb_checkpoints/myfile-checkpoint.html deleted file mode 100644 index 3623ba7..0000000 --- a/.ipynb_checkpoints/myfile-checkpoint.html +++ /dev/null @@ -1,554 +0,0 @@ - - - - - - - - - - - Dask Task Stream - - - - - - - - - - - - - - - - - - - - - - - - - - - -
- - - - - - - - - - - \ No newline at end of file diff --git a/Dask_01_basics.ipynb b/Dask_01_basics.ipynb index 0dda657..24015bf 100755 --- a/Dask_01_basics.ipynb +++ b/Dask_01_basics.ipynb @@ -11,11 +11,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this notebook we demonstrate some basic features when working with Nd array data:\n", + "In this notebook we demonstrate some basic features when working with nDimensional array data:\n", "\n", "* Dask array - lazy loading\n", - "* daskarray.compute( )\n", - "* daskarray.visulize( )\n", + "* daskarray.compute()\n", + "* daskarray.visulize()\n", "* Diagnostic tool - ProgressBar\n", "* Reduction\n", "---" @@ -27,7 +27,7 @@ "source": [ "- Authors: NCI Virtual Research Environment Team\n", "- Keywords: Xarray, Dask, Lazy loading, Diagnostics\n", - "- Create Date: 2020-May\n", + "- Creation Date: 2020-May\n", "- Lineage/Reference: This tutorial is developed based on [Ryan Abernathey's lecture](https://rabernat.github.io/research_computing_2018/dask-for-parallel-computing-and-big-data.html) and [dask tutorial](https://github.com/dask/dask-tutorial).\n", "---" ] @@ -58,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -79,10 +79,10 @@ "metadata": {}, "outputs": [ { - "name": "stdout", "output_type": "stream", + "name": "stdout", "text": [ - "\n" + "\n" ] } ], @@ -95,17 +95,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], + "outputs": [], "source": [ "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", "from dask.distributed import Client, LocalCluster\n", @@ -118,7 +110,7 @@ "metadata": {}, "source": [ "
\n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", + "Warning: Please make sure you specify the correct path to the scheduler.json file within your environment. \n", "
" ] }, @@ -135,64 +127,24 @@ "source": [ "### Dask Arrays\n", "\n", - "A dask array looks and feels a lot like a numpy array. However, a dask array doesn't directly hold any data. Instead, it symbolically represents the computations needed to generate the data. Nothing is actually computed until the actual numerical values are needed. This mode of operation is called \"lazy\"; it allows one to build up complex, large calculations symbolically before turning them over to the scheduler for execution." + "A dask array looks and feels a lot like a numpy array. However, a dask array doesn't directly hold any data. Instead, it symbolically represents the computations needed to generate the data. Nothing is actually computed until the numerical values are needed. This mode of operation is called \"lazy\"; it allows one to build up complex, large calculations symbolically before turning them over to the scheduler for execution." ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 32.00 MB 8.00 MB
Shape (1000, 4000) (1000, 1000)
Count 4 Tasks 4 Chunks
Type float64 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 4000\n", - " 1000\n", - "\n", - "
" - ], "text/plain": [ "dask.array" - ] + ], + "text/html": "\n\n\n\n\n
\n\n \n \n \n \n \n \n \n \n \n
Array Chunk
Bytes 32.00 MB 8.00 MB
Shape (1000, 4000) (1000, 1000)
Count 4 Tasks 4 Chunks
Type float64 numpy.ndarray
\n
\n\n\n \n \n \n\n \n \n \n \n \n \n\n \n \n\n \n 4000\n 1000\n\n
" }, - "execution_count": 6, "metadata": {}, - "output_type": "execute_result" + "execution_count": 3 } ], "source": [ @@ -211,122 +163,11 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py:1079: VersionMismatchWarning: Mismatched versions found\n", - "\n", - "numpy\n", - "+------------------------+---------+\n", - "| | version |\n", - "+------------------------+---------+\n", - "| client | 1.19.2 |\n", - "| scheduler | 1.19.2 |\n", - "| tcp://10.6.74.39:33153 | 1.17.2 |\n", - "| tcp://10.6.74.39:33271 | 1.17.2 |\n", - "| tcp://10.6.74.39:33311 | 1.17.2 |\n", - "| tcp://10.6.74.39:33321 | 1.17.2 |\n", - "| tcp://10.6.74.39:33493 | 1.17.2 |\n", - "| tcp://10.6.74.39:33707 | 1.17.2 |\n", - "| tcp://10.6.74.39:33833 | 1.17.2 |\n", - "| tcp://10.6.74.39:33867 | 1.17.2 |\n", - "| tcp://10.6.74.39:34343 | 1.17.2 |\n", - "| tcp://10.6.74.39:34349 | 1.17.2 |\n", - "| tcp://10.6.74.39:34477 | 1.17.2 |\n", - "| tcp://10.6.74.39:34875 | 1.17.2 |\n", - "| tcp://10.6.74.39:35147 | 1.17.2 |\n", - "| tcp://10.6.74.39:35937 | 1.17.2 |\n", - "| tcp://10.6.74.39:35965 | 1.17.2 |\n", - "| tcp://10.6.74.39:36101 | 1.17.2 |\n", - "| tcp://10.6.74.39:36403 | 1.17.2 |\n", - "| tcp://10.6.74.39:36593 | 1.17.2 |\n", - "| tcp://10.6.74.39:36965 | 1.17.2 |\n", - "| tcp://10.6.74.39:36973 | 1.17.2 |\n", - "| tcp://10.6.74.39:37193 | 1.17.2 |\n", - "| tcp://10.6.74.39:37705 | 1.17.2 |\n", - "| tcp://10.6.74.39:37753 | 1.17.2 |\n", - "| tcp://10.6.74.39:37923 | 1.17.2 |\n", - "| tcp://10.6.74.39:38321 | 1.17.2 |\n", - "| tcp://10.6.74.39:38323 | 1.17.2 |\n", - "| tcp://10.6.74.39:38877 | 1.17.2 |\n", - "| tcp://10.6.74.39:38919 | 1.17.2 |\n", - "| tcp://10.6.74.39:40097 | 1.17.2 |\n", - "| tcp://10.6.74.39:40299 | 1.17.2 |\n", - "| tcp://10.6.74.39:40811 | 1.17.2 |\n", - "| tcp://10.6.74.39:40837 | 1.17.2 |\n", - "| tcp://10.6.74.39:40871 | 1.17.2 |\n", - "| tcp://10.6.74.39:41067 | 1.17.2 |\n", - "| tcp://10.6.74.39:41071 | 1.17.2 |\n", - "| tcp://10.6.74.39:41109 | 1.17.2 |\n", - "| tcp://10.6.74.39:41227 | 1.17.2 |\n", - "| tcp://10.6.74.39:41999 | 1.17.2 |\n", - "| tcp://10.6.74.39:42139 | 1.17.2 |\n", - "| tcp://10.6.74.39:42495 | 1.17.2 |\n", - "| tcp://10.6.74.39:43419 | 1.17.2 |\n", - "| tcp://10.6.74.39:43529 | 1.17.2 |\n", - "| tcp://10.6.74.39:43839 | 1.17.2 |\n", - "| tcp://10.6.74.39:44233 | 1.17.2 |\n", - "| tcp://10.6.74.39:44333 | 1.17.2 |\n", - "| tcp://10.6.74.39:45119 | 1.17.2 |\n", - "| tcp://10.6.74.39:45441 | 1.17.2 |\n", - "| tcp://10.6.74.39:46143 | 1.17.2 |\n", - "| tcp://10.6.74.40:32777 | 1.17.2 |\n", - "| tcp://10.6.74.40:33701 | 1.17.2 |\n", - "| tcp://10.6.74.40:33907 | 1.17.2 |\n", - "| tcp://10.6.74.40:33929 | 1.17.2 |\n", - "| tcp://10.6.74.40:33959 | 1.17.2 |\n", - "| tcp://10.6.74.40:34313 | 1.17.2 |\n", - "| tcp://10.6.74.40:34397 | 1.17.2 |\n", - "| tcp://10.6.74.40:34495 | 1.17.2 |\n", - "| tcp://10.6.74.40:34503 | 1.17.2 |\n", - "| tcp://10.6.74.40:34803 | 1.17.2 |\n", - "| tcp://10.6.74.40:35691 | 1.17.2 |\n", - "| tcp://10.6.74.40:35783 | 1.17.2 |\n", - "| tcp://10.6.74.40:35857 | 1.17.2 |\n", - "| tcp://10.6.74.40:36757 | 1.17.2 |\n", - "| tcp://10.6.74.40:36907 | 1.17.2 |\n", - "| tcp://10.6.74.40:37675 | 1.17.2 |\n", - "| tcp://10.6.74.40:37945 | 1.17.2 |\n", - "| tcp://10.6.74.40:38981 | 1.17.2 |\n", - "| tcp://10.6.74.40:38987 | 1.17.2 |\n", - "| tcp://10.6.74.40:39027 | 1.17.2 |\n", - "| tcp://10.6.74.40:39039 | 1.17.2 |\n", - "| tcp://10.6.74.40:39165 | 1.17.2 |\n", - "| tcp://10.6.74.40:39485 | 1.17.2 |\n", - "| tcp://10.6.74.40:39803 | 1.17.2 |\n", - "| tcp://10.6.74.40:39845 | 1.17.2 |\n", - "| tcp://10.6.74.40:40021 | 1.17.2 |\n", - "| tcp://10.6.74.40:40093 | 1.17.2 |\n", - "| tcp://10.6.74.40:40623 | 1.17.2 |\n", - "| tcp://10.6.74.40:40689 | 1.17.2 |\n", - "| tcp://10.6.74.40:41975 | 1.17.2 |\n", - "| tcp://10.6.74.40:42053 | 1.17.2 |\n", - "| tcp://10.6.74.40:42611 | 1.17.2 |\n", - "| tcp://10.6.74.40:43101 | 1.17.2 |\n", - "| tcp://10.6.74.40:43543 | 1.17.2 |\n", - "| tcp://10.6.74.40:43601 | 1.17.2 |\n", - "| tcp://10.6.74.40:43885 | 1.17.2 |\n", - "| tcp://10.6.74.40:44213 | 1.17.2 |\n", - "| tcp://10.6.74.40:44403 | 1.17.2 |\n", - "| tcp://10.6.74.40:44453 | 1.17.2 |\n", - "| tcp://10.6.74.40:44855 | 1.17.2 |\n", - "| tcp://10.6.74.40:44891 | 1.17.2 |\n", - "| tcp://10.6.74.40:45171 | 1.17.2 |\n", - "| tcp://10.6.74.40:45213 | 1.17.2 |\n", - "| tcp://10.6.74.40:45501 | 1.17.2 |\n", - "| tcp://10.6.74.40:45801 | 1.17.2 |\n", - "| tcp://10.6.74.40:45953 | 1.17.2 |\n", - "| tcp://10.6.74.40:45997 | 1.17.2 |\n", - "| tcp://10.6.74.40:46197 | 1.17.2 |\n", - "+------------------------+---------+\n", - " warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n" - ] - }, - { + "output_type": "execute_result", "data": { "text/plain": [ "array([[1., 1., 1., ..., 1., 1., 1.],\n", @@ -338,9 +179,8 @@ " [1., 1., 1., ..., 1., 1., 1.]])" ] }, - "execution_count": 7, "metadata": {}, - "output_type": "execute_result" + "execution_count": 4 } ], "source": [ @@ -351,24 +191,35 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In order to understand what happened when we called `.compute( )`, we can visualize the dask graph, the symbolic operations that make up the array." + "In order to understand what happened when we called `.compute()`, we can visualize the dask graph, the symbolic operations that make up the array." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, + "outputs": [], + "source": [ + "# Only needed if Graphviz has been installed manually on local PC\n", + "import os\n", + "os.environ[\"PATH\"] += os.pathsep + 'C:\\\\Program Files\\\\Graphviz2.44\\\\Graphviz\\\\bin'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "" ] }, - "execution_count": 5, "metadata": {}, - "output_type": "execute_result" + "execution_count": 6 } ], "source": [ @@ -386,19 +237,19 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "image/png": "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\n", + "image/png": "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\n", "text/plain": [ "" ] }, - "execution_count": 6, "metadata": {}, - "output_type": "execute_result" + "execution_count": 7 } ], "source": [ @@ -417,19 +268,19 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAzgAAAdmCAIAAABNJZ1BAAAABmJLR0QA/wD/AP+gvaeTAAAgAElEQVR4nOzdeVxU5eLH8TPsIIuKKAoImmsKiOIGLrmAmJlmAlqWmpD3tpe3tMyyblam2XYrU8vELMENQ2VRXFkVYnMBzEBFXEA2kU1gfn/MvfxwSUec4Znl8/7Dl5w5nPMdjsiX5zmLTC6XSwAAANA8BqIDAAAA4M4oagAAABqKogYAAKChjEQHAHRQSkrKX3/9JTqFWtjb248aNUp0CgDQFzIuJgBULigo6McffxSdQi18fHxiYmJEpwAAfcHUJ6AWPj4+cp0zb9480V9XANAvFDUAAAANRVEDAADQUBQ1AAAADUVRAwAA0FAUNQAAAA1FUQMAANBQFDUAAAANRVEDAADQUBQ1AAAADUVRAwAA0FAUNQAAAA1FUQMAANBQFDUAAAANRVEDtNXZs2cff/zxiooKSZIWLVoUGhoqOhEAQMUoaoBWSk9P9/T09PX1tba2liQpODj47bffXrJkiehcAABVMhIdAMB9q6iomDx58pNPPvnSSy8pljz00EM7duzw8PBwdXUNCAgQGw8AoCqMqAHa57PPPrt06dJ7773XfKG7u/v06dMXLFhQX18vKhgAQLUoaoCWkcvl69atGzp0aJcuXW556YknnigoKNi9e7eQYAAAlaOoAVomIyPj8uXL7u7ut780YMAASZKio6NbPRQAQC0oaoCWOX78uCRJjo6Ot7/k4ODQtAIAQAdQ1AAtc/HiRUmSbGxsbn/J2tpaJpMpVgAA6ACKGqBlampqJEkyNja+46tGRkbV1dWtmwgAoC4UNUDLmJmZSZJ048aNO75aX19vbm7euokAAOpCUQO0TOfOnSVJKi8vv/2liooKuVyuWAEAoAMoaoCW6d+/vyRJBQUFt7904cKFphUAADqAogZoGXd3944dO2ZkZNz+Unp6uiRJvr6+rR4KAKAWFDVAy8hksqCgoOTk5MLCwlte2rFjh4ODw6RJk4QEAwCoHEUN0D5vvfVWp06dPvzww+YLMzIytm7dunLlyr+7IBQAoHUoaoD2sbGxiYiI2Lp167fffqtY8tdff02bNu3tt9+eMWOG2GwAABWiqAFaycPDIyUlJTIysqKiQpKkH374YdmyZcuWLROdCwCgSkaiAwBoIRcXl127din+vnz5crFhAADqwIgaAACAhqKoAQAAaCiKGgAAgIaiqAEAAGgoihoAAICGoqgBAABoKIoaAACAhqKoAQAAaCiKGgAAgIaiqAEAAGgoihoAAICGoqgBAABoKIoaAACAhqKoAdqtpqbmypUrolMAANTCSHQAQDddvnw5LCysFXZ09OjR4uLiRx99tBX2lZeXZ2ho2Ao7AgAoUNQAtcjMzAwMDGy13W3YsKF1duTj49M6OwIASJIkk8vlojMAaKGKigo7O7u6urrc3NyePXuKjgMAUDHOUQO0WHh4eH19vZGRUWhoqOgsAADVo6gBWiwkJEQmk9XX169fv150FgCA6jH1CWiroqKizp07NzQ0KD5MT093d3cXGwkAoFqMqAHaqvl0p7Gx8W+//SYwDABAHRhRA7TVkCFDUlJSmr6F7e3tL1y4YGDAb18AoDv4Px3QSufOnWve0iRJunTpUkJCgsBIAACVo6gBWmnTpk1GRjfdB5HZTwDQPUx9Alqpb9++2dnZtyy0sbEpKioyNjYWEgkAoHKMqAHa59SpU7e3NEmSysvL9+3b1/p5AABqQlEDtM8vv/xyx2EzY2PjX3/9tfXzAADUhKlPQPs4OzufO3fuji+Zm5sXFxdbWFi0ciQAgDowogZomaSkpHPnzhkZGZnextjYuLq6eteuXaIzAgBUw+jeqwDQJHK5/NNPP236MCIiory8fNasWU1LbGxsROQCAKgeU5+AdgsODj537lx0dLToIAAA1WPqEwAAQENR1AAAADQURQ0AAEBDUdQAAAA0FEUNAABAQ1HUAAAANBRFDQAAQENR1AAAADQURQ0AAEBDUdQAAAA0FEUNAABAQ1HUAAAANBRFDQAAQENR1AAAADQURQ0AAEBDUdQAAAA0FEUNAABAQ1HUAAAANBRFDQAAQENR1AAAADQURQ0AAEBDUdQAAAA0FEUNAABAQ1HUAAAANBRFDQAAQENR1AAAADQURQ0AAEBDUdQAAAA0FEUNAABAQ1HUAAAANBRFDQAAQEMZiQ4A4N6uX79+9erVq1evNjQ0lJWVSZJUW1tbVVUlSVJhYeG1a9e2bNkiSZKZmZm5ubkkSdbW1kZGRra2tra2tpaWlmLDAwBaTCaXy0VnACBVVlbm5+fn5eUp/iwsLLxy5crV/6mpqfm7T2zTpo2BgcG1a9f+bgVTU1PbZhwcHLp16+bi4uLi4tKtWzcbGxu1vB8AgCpQ1AABCgoKsrKyMjMzMzMzc3Nz8/Pzi4uLFS/Z2dm5uLg4Ojp27NixQ4cOzTtWhw4djI2Nra2tJUkyNTW1sLC4ZbM1NTXV1dWSJFVWVtbV1V29zZUrVy5cuJCfn3/x4kXFp7Rr187FxaVHjx7u7u6urq6urq7dunVrxa8EAOBuKGpAa8jNzU1ISEhLS1OUs5KSEkmSnJycXF1d+/TpoxjcUgx0tWnTphXy1NTUKEbvFHJycjIzM/Pz8+VyubW1taKxDRw40MvLq2/fvgYGnMwKAGJQ1AC1qK2tTU1NTUhIiIuLS0xMvHLlirm5udv/uLq6urm5tWvXTnTMm1RUVBw/fjwrKysjIyMrKys9Pb2ysrJt27ZeXl5eXl4jRowYPHjw7cN4AAD1oagBKiOXyzMyMqKioqKiopKTk2tqauzt7b28vLy9vb28vAYNGmRsbCw6431oaGjIzMyMi4tLSEiIj48/f/68sbGxp6fnhAkTJk6c6OnpyUgbAKgbRQ14UKWlpXv37lX0s4sXL9rb20+YMGHs2LHe3t4PPfSQ6HQqc/78+bi4uIMHD0ZFRZ07d65Dhw6+vr4TJ0709fXt2LGj6HQAoJsoakALXblyZdu2bWFhYUeOHJHJZMOGDZs4caKfn5+Hh4dMJhOdTr1OnDgRGRkZFRV15MiR+vr6IUOG+Pv7+/v7Ozk5iY4GADqFogbcn+Li4u3bt4eFhR08eNDMzGzy5MlPPPGEj4+Ppp1w1joqKytjY2PDw8PDw8PLy8u9vLwCAgKmT5/epUsX0dEAQBdQ1ACl1NTUbN++PSQkJDY21tjYeNKkSQEBAZMmTeLkeoW6urqYmJiwsLCdO3dWVlaOGDHimWeemTFjBrfbBYAHQVED7uHEiRNr167duHFjRUXFpEmTZsyY8dhjj9E//k5NTU1UVFRoaGh4eLixsfHMmTODgoIGDx4sOhcAaCWKGnBnNTU1ERERa9asiY2NdXBwePrpp1944YWuXbuKzqU1ysvLQ0NDv//++/T09IcffvjZZ58NCgqytbUVnQsAtAlFDbjVhQsXvvnmmx9++KGqqmrq1KnBwcHjxo3T+esD1CcxMXHt2rVhYWGSJM2ZM+f111/XpYthAUCtKGrA/8vIyFi1atXmzZttbW1feuml4OBgOzs70aF0REVFxYYNG7788sv8/PypU6cuWLDAy8tLdCgA0HTcrxKQ5HJ5dHS0r6/vgAED/vjjj9WrV+fl5b3zzju0NBWytrZ++eWXc3NzN2/efOHCBcVNgLdt29bY2Cg6GgBoLooa9N2+ffuGDh3q5+dXVVX1+++/Z2Zmzp0719TUVHQu3WRoaOjv75+UlJSSktKjR4/AwMD+/fuHhIQ0NDSIjgYAmoiiBv0VGxvr7e3t4+PTqVOn1NTUuLi4yZMncy5a6xg0aFBISMiJEycGDBgwd+7cgQMH7ty5kzMxAOAWFDXoo4SEhPHjx48fP97CwiI5OTkiImLgwIGiQ+mj3r17//rrr1lZWe7u7tOmTXN3d9+yZQt1DQCaUNSgX7KzsydNmuTt7d3Q0HDkyJG9e/cOGTJEdCh99/DDD4eEhKSmprq4uAQEBIwaNSo1NVV0KADQCBQ16IvS0tLXXnvNzc2tsLBw3759Bw4cGDFihOhQ+H8DBgz4/fffk5OTJUkaMmTIc889d+nSJdGhAEAwihp0X2NjY0hISJ8+fX755ZcVK1akpKSMGzdOdCjc2ZAhQ44cORIeHn7w4MEePXosXbq0pqZGdCgAEIb7qEHHHThw4JVXXsnNzX355ZeXLFliY2MjOhGUUl1dvWLFiuXLl9vb269atWrKlCmiEwGAAIyoQWeVlpbOmzdv3LhxLi4uWVlZK1eupKVpEXNz8/feey8nJ2fYsGFTp06dPn36xYsXRYcCgNZGUYNuioiIcHNz2717988//xwREdGrVy/RidASjo6OmzZtOnjwYFZWVt++fb/66itukAtAr1DUoGsuXbrk7+//+OOPDx8+/MSJE88++6zoRHhQo0ePTk9P/8c//rFgwYJHHnkkOztbdCIAaCUUNeiUn376qU+fPunp6bGxsWFhYba2tqITQTXMzc0//fTTpKSkioqKgQMHrly5kqE1APqAogYdcfXq1SeffDI4ODg4ODgzM3Ps2LGiE0H1PD09jx079u677y5evNjHx6egoEB0IgBQL676hC7Yv3//7Nmz6+vr169f7+fnJzoO1C4rK+vpp58+d+7c999/P3PmTNFxAEBdGFGDdrtx48bSpUt9fHyGDh16/PhxWpqecHV1TU5Onj179tNPP/3ss89WVlaKTgQAasGIGrRYbm5uYGDgmTNnvv766zlz5oiOAwF27twZFBTUtm3b0NBQHtgKQPcwogZt9fvvvw8ZMsTY2DgtLY2WpremTJmSmZnp7Ozs7e39888/i44DACpGUYP2kcvly5cvf+KJJx5//PFDhw499NBDohNBpM6dO0dHRy9cuHDevHnPPvtsdXW16EQAoDJMfULLlJSUPPXUUwcPHly+fPmrr74qOg40SERExDPPPNOjR49t27Y5OzuLjgMAKkBRgzZJT0+fNm1afX391q1bhwwZIjoONE52dvYTTzxRUlISFhY2evRo0XEA4EEx9QmtsWvXrhEjRri4uKSmptLScEd9+vQ5evToiBEjfHx8OGUNgA6gqEE7rF279oknnggICIiOjrazsxMdB5rLyspq69at77zzzty5c1999VUmDQBoNYoaNJ1cLl+6dOn8+fMXL178008/GRsbi04ETSeTyZYuXfrTTz99//33gYGBNTU1ohMBQAtxjho0Wk1NzZw5c8LDw3/88cenn35adBxomX379k2fPr1fv347d+7s0KGD6DgAcN8oatBcJSUljz766J9//rljx46RI0eKjgOtlJmZ+dhjj1laWsbExDg6OoqOAwD3h6IGDXX58mVfX9/y8vKYmJhevXqJjgMtVlhYOGHChMrKytjY2O7du4uOAwD3gXPUoIkuXrw4bty4a9eu7d+/n5aGB9SlS5fDhw936tTJ29s7KytLdBwAuA8UNWics2fPjhw5srGx8ciRI4x/QCXatWu3b9++vn37PvLII0ePHhUdBwCURVGDZsnJyRkxYoS1tfWhQ4ccHBxEx4HusLS03LVrl6en54QJExISEkTHAQClUNSgQbKzs0ePHu3k5LR//35ulgaVs7Cw2Llz54gRIyZMmJCYmCg6DgDcGxcTQFP89ddfo0aN6tq1a0xMjKWlpeg40Fk3btyYPn364cOH9+/f7+HhIToOANwNRQ0a4cKFC6NGjbKystq/f3/79u1Fx4GOq6urmzp16rFjxw4ePNivXz/RcQDgb1HUIF5RUdEjjzzS0NBw6NChTp06iY4DvVBVVTVx4sScnJxDhw717t1bdBwAuDOKGgQrKysbN25cRUXFoUOHunTpIjoO9EhFRcX48eMvXbp0+PBhFxcX0XEA4A4oahCpurp67NixFy9ePHz4cNeuXUXHgd65evXqmDFj6urqEhISmHMHoIG46hPCNDY2zpo16/Tp0zExMbQ0CGFraxsdHV1TUzN16tTa2lrRcQDgVhQ1CPPmm2/u2rVry5YtPHsAAnXu3HnPnj1ZWVnPPvssMwwANA1FDWKsXbv2iy+++PHHH8eMGSM6C/Tdww8/vGPHjvDw8CVLlojOAgA3MVy6dKnoDNA7kZGRs2bN+ve///3iiy+KzgJIkiS5uLg4Ojr+61//6tSp0+DBg0XHAYD/4mICtLb09PSRI0cGBgauW7dOdBbgJkuWLFm+fHlkZOS4ceNEZwEASaKooZWVlJR4enq6uLhER0cbGxuLjgPcRC6Xz5w5MzY2NiUlxdnZWXQcAKCooRU1NjY+9thjx48fT01N5VGe0EzXr18fNmyYkZFRQkKCubm56DgA9B0XE6D1vPfee/v379+2bRstDRqrTZs2O3bsyM/Pnz9/vugsAEBRQ2uJiIj45JNP/vOf/3CmNjRcjx49Nm7cuGnTpjVr1ojOAkDfMfWJ1nD69OnBgwdPmTJlw4YNorMASnnvvfc+/fTTAwcOeHt7i84CQH9R1KB2tbW1ipN+jhw5YmZmJjoOoJTGxsZJkyadOnUqIyPDxsZGdBwAeoqpT6jd4sWLT58+vWnTJloatIiBgUFISEhdXV1wcLDoLAD0F0UN6nXo0KEvvvjiP//5D8+Jgtaxs7P7+eeft27dumnTJtFZAOgppj6hRqWlpQMGDPD09Ny2bZvoLEALvfrqqxs2bEhPT3dxcRGdBYDeoahBjQIDA+Pj4zMyMmxtbUVnAVqotrZ26NChlpaWhw4dMjQ0FB0HgH5h6hPq8tNPP23dunXjxo20NGg1U1PTjRs3pqamfvzxx6KzANA7jKhBLQoLCx9++OHg4OAVK1aIzgKowBdffLFo0aLU1NT+/fuLzgJAj1DUoBbTpk1LT0/Pyspq06aN6CyACjQ2No4cObKhoSE+Pp4JUACthqlPqN7WrVvDw8PXrFlDS4POMDAwWL16dVpa2rfffis6CwA9wogaVKy8vLxfv35+fn7r1q0TnQVQsSVLlnzxxRdZWVndunUTnQWAXqCoQcXmzZu3Z8+ekydPtmvXTnQWQMVqa2sHDhzo7Oy8Z88e0VkA6AWmPqFKBw4cWL9+/ddff01Lg04yNTVdvXp1dHT0b7/9JjoLAL3AiBpUpqGhwcPDo2vXrrt27RKdBVCj4ODgyMjInJwczsIEoG6MqEFlfvjhh5ycnFWrVokOAqjXsmXLKisrly9fLjoIAN3HiBpUo7S0tFevXnPmzOHGadAHK1eufO+9906ePMlzpQCoFUUNqvHaa6/99ttvubm5NjY2orMAaldXV+fq6urh4bF582bRWQDoMqY+oQLZ2dnffffdRx99REuDnjAxMVm5cmVoaOjhw4dFZwGgyxhRgwo89thjBQUFqamp3LEdesXX17ekpOTo0aMGBvzSC0At+M8FDyouLm737t2ff/45LQ365vPPP09LS9u2bZvoIAB0FiNqeFBjx469cePGkSNHRAcBBJg5c2ZmZmZmZia/qABQB0bU8EBiY2MPHDjw0UcfiQ4CiPHhhx/m5uZySQEANWFEDQ9k1KhR5ubm0dHRooMAwsyePTshIeHUqVNGRkaiswDQNYyooeUiIyOPHDnywQcfiA4CiPTBBx+cO3du48aNooMA0EGMqKHlhg4d2rFjx4iICNFBAMGCg4P37t2bm5trYmIiOgsAncKIGlooOjr66NGjDKcBkiQtWbKksLDw119/FR0EgK5hRA0t5OPjI5PJYmJiRAcBNMKzzz6blpaWmZkpk8lEZwGgOxhRQ0tkZWXFxsYuWLBAdBBAU7z55psnTpzgwhoAqsWIGlpi9uzZf/zxB4MHQHO+vr5yuXzv3r2igwDQHYyo4b4VFhZu3rx5wYIFtDSguQULFuzbty8tLU10EAC6gxE13LdFixb9/PPP+fn5ZmZmorMAmsXDw8PV1TUkJER0EAA6ghE13J+qqqo1a9a88sortDTgdq+//vrmzZsLCwtFBwGgIyhquD9hYWHXr18PCgoSHQTQRDNmzGjbtu3PP/8sOggAHUFRw/1Zu3btE0880bFjR9FBAE1kYmIya9asdevWNTY2is4CQBdQ1HAfsrOzExMTg4ODRQcBNNfzzz+fn5+/f/9+0UEA6AKKGu7DDz/84OLiMmbMGNFBAM3Vp08fLy+vtWvXig4CQBdQ1KCs2traTZs2BQcHGxjwzwa4m+Dg4PDw8CtXrogOAkDr8RMXytq2bVtpaens2bNFBwE0XUBAgIWFxcaNG0UHAaD1uI8alOXn52dqarpz507RQQAt8M9//jM+Pj4zM1N0EADajRE1KKW4uDg2NnbmzJmigwDaYcaMGVlZWSdPnhQdBIB2o6hBKdu3bzcxMXnsscdEBwG0w8iRIx0cHLZs2SI6CADtRlGDUsLCwiZNmmRpaSk6CKAdDAwMnnzyyc2bN4sOAkC7UdRwb0VFRYcOHfL39xcdBNAmAQEB2dnZWVlZooMA0GIUNdzbli1bTExMHn30UdFBAG3i5eXl7OwcFhYmOggALUZRw71t2bJl8uTJbdq0ER0E0CYymezJJ5+kqAF4EBQ13ENZWVlcXNy0adNEBwG0zxNPPJGbm5uTkyM6CABtRVHDPezdu1cul48fP150EED7DB8+vH379lFRUaKDANBWFDXcQ2Rk5LBhw9q3by86CKB9DA0Nx40bR1ED0GIUNdyNXC6Pjo6eOHGi6CCAtvLz8zt48GBVVZXoIAC0EkUNd5OZmVlYWEhRA1ps4sSJtbW1hw4dEh0EgFaiqOFuIiMj7e3tPTw8RAcBtFXnzp3d3NyY/QTQMhQ13E10dLSvr69MJhMdBNBiEydOjIyMFJ0CgFaiqOFv1dbWJiUljRs3TnQQQLuNHTv29OnTFy9eFB0EgPahqOFvpaam1tTUeHt7iw4CaLfhw4cbGRnFx8eLDgJA+1DU8Lfi4+M7der00EMPiQ4CaDdLS0tXV1eKGoAWoKjhb8XHxzOcBqiEt7c3RQ1AC1DUcGdyuTwxMZGiBqiEt7d3WlpaZWWl6CAAtAxFDXd2+vTpK1euUNQAlRg5cmR9fX1KSoroIAC0DEUNd5aYmGhmZsYd1ACVcHBw6Nq1K7OfAO4XRQ139scffwwYMMDExER0EEBHeHp6pqWliU4BQMtQ1HBnmZmZrq6uolMAusPV1TUzM1N0CgBahqKGO8vKyqKoASrk5uZ25syZ69eviw4CQJtQ1HAHBQUFV69edXNzEx0E0B2urq6NjY0nTpwQHQSANqGo4Q4UEzT9+/cXHQTQHQ899FCbNm2ysrJEBwGgTShquIPMzEwnJydbW1vRQQDdYWBg0K9fP4oagPtCUcMdHD9+nOE0QOXc3Ny4ngDAfaGo4Q5yc3P79u0rOgWga/r06ZObmys6BQBtQlHDHeTl5bm4uIhOAegaFxeXwsLCmpoa0UEAaA2KGm51/fr14uLibt26iQ4C6BoXFxe5XH7+/HnRQQBoDYoabpWXlydJEiNqgMopfv9RfIsBgDIoarhVfn6+JEnOzs6igwC6pn379jY2NhQ1AMqjqOFWeXl5HTp0sLKyEh0E0EEuLi6K34UAQBkUNdwqPz+fE9QANenWrRsjagCUR1HDrS5cuODk5CQ6BaCbunbtWlBQIDoFAK1BUcOtioqK7OzsRKcAdJOtrW1xcbHoFAC0BkUNt7p69SoPjwLUpEOHDlevXhWdAoDWoKjhVsXFxRQ1QE1sbW1LSkoaGxtFBwGgHShquFVJSUmHDh1EpwB0U4cOHRobG8vKykQHAaAdKGq4yfXr16urqylqgJoovrk4TQ2AkihquIni7BmmPgE1UXxzcZoaACVR1HCT0tJSSZLat28vOgigmxRFraSkRHQQANqBooabVFdXS5Jkbm4uOghwD5aWliNGjBCd4r6ZmZlJklRTUyM6CADtQFHDTWprayVJMjExER0E0E0ymczY2FjxjQYA90RRw03q6uokihqgTqamphQ1AEqiqOEmip8fpqamYmOEh4fL/ufs2bOBgYFWVla2trbPPPNMaWlpfn7+5MmTraysOnfuHBwcfO3ateafW1RU9Morr7i4uJiYmNjZ2U2bNi09Pb3p1fr6+tDQUB8fH3t7e3Nzc1dX16+++qrpplbN95ufnx8YGNi2bVtbW9vHHnvszJkzSoa/+y4UsrOzp06damNjY2FhMWTIkF27do0fP16x36CgIOXXEbLr5l+lnJycgIAAW1tbxYeKixnvfgiUyXD3N7Jy5UqZTHb9+vX4+HjFZxkZGSn5D0ATmJiYKH4jAoB7kwPNbNu2TZKk+vp60UHkcrl8ypQpkiRNmzYtJSWlsrIyJCREkqSJEydOmTIlLS3t2rVrq1evliTp9ddfb/qUwsJCZ2fnTp067d69+9q1a8ePHx89erSZmVlCQoJihYiICEmSPv7445KSkqKioq+//trAwOBf//rX7fudMmVKQkJCZWXl3r17zc3NBw8erGTse+7i9OnTbdu2dXBwiImJUYQcP368nZ2dqanpfa0jdteKr9Lo0aMPHDhw/fr1pKQkQ0PDoqKiex4CZbavzGFq06aNt7f3LV+Be+5dE3Tu3Pmrr74SnQKAdqCo4Sa//faboaGh6BT/pagCu3fvblrSr18/SZIOHTrUtKRbt269e/du+nD27NmSJG3atKlpycWLF01NTQcNGqT4MCIi4pFHHmm+l1mzZhkbG5eXl9+y34iIiKYl06dPlySpqKhImdj33IW/v78kSVu3bm1a4cqVKxYWFs2bijLriN214qu0Z8+eWzLc8xAos31lDtMdi9o9964JnJ2dP/vsM9EpAGgHihpu8vPPP5ubm4tO8V+KKnD58uWmJT4+PpIkXb9+vWnJiBEjrKysmj60sbExMDBo/uNcLpcPHDhQkqTz58/fcS8rVqyQJKn5iItiv5cuXWpa8vrrr0uSlJGR0bI3cssurKysJEm6du3aLSGbN5V7rpOVldV8aPzFF19stV0rKL5KxcXFt+zxnodAye3f/Y3I/6aoteAfQLYjRqgAACAASURBVOvr1avXRx99JDoFAO1gJAGazdrauunvBgYGhoaGFhYWTUsMDQ2bTl2qra0tLy+XJMnGxub27Zw+fdrR0bG8vPzzzz/fsWNHQUFB88f4VFVV3bJ+840orq5Q8vmMd99FbW3ttWvXzMzMLC0tm39Wu3btmv6uzDr9+/eXy+VCdt1cmzZtmn94z0NgZ2enzPaVP0z3tXdHR8e7fHqrkclkPOsTgJK4mAA30erTnE1NTdu2bWtkZHTjxo3bfykZM2aMJEmTJ0/+97//HRwcnJub29jYKJfLv/jiC0mSbi89LXb3XZiamlpZWdXU1FRWVjb/rCtXrjR/I/dcR9N23fTpdz8ESm5fmcMkk8nud+/KvIVWUFtbq7ibGgDcE0UNNzExMWloaGhoaBAdpIWmTZtWX18fHx/ffOHy5cu7du1aX1/f0NAQHx9vb2//yiuv2NnZKX7SK+7xqyrK7GLixImSJEVFRTUtuXTpUm5u7v2uozm7bu7uh0CZ7St5mCwsLJp+qejdu/eaNWuU2bsmqK2t5Q44AJSlsklU6ATF1XZVVVWig8jl/zsLqrq6umnJhAkTbrnWYfTo0W3atGn68PLlyw899FD37t337NlTVlZ29erV1atXW1hYhIaGKlYYO3asJEmfffZZUVFRVVXV/v37u3btKknS3r1777LfhQsXSpKUlpamTOx77uLPP/9s375902WPWVlZfn5+zs7OzU/SUmYdsbu+/auk5CFQZvvKHCY/Pz8bG5tz584lJCQYGRmdPHlSmb1rAltb2++//150CgDagaKGm0RHR0uSVFZWJjZGYmJi818nFi9efOzYseZLPvnkkyNHjjRf8v777ys+9+rVq2+88Ub37t2NjY3t7Ox8fX2b/3QvKiqaP3++k5OTsbFxp06d5syZs2jRIsUWBg0adPt+5TdPiU6aNOme4e++C8U6OTk5U6dOtba2trCw8PLyOnTo0COPPGJhYdF8O8qsI2TXt3yVbv997+6HQJkMyryR7OzskSNHtmnTxsnJ6dtvv1V+78JZWlr+9NNPolMA0A4yuepOzYEOUPzIvHLlip2dnegs+qVPnz7V1dVnz559wHW0a9ettn2NYmpq+tNPPz399NOigwDQApyjhpsoTp3R3usJtMKlS5fat29/48aNpiX5+flnzpxRzPcpv4527brVtq/h5HL5jRs3hD/8A4C2oKjhJoqL0VR7fj1uV1paOn/+/PPnz1dVVR09ejQwMNDa2nrJkiX3u4527brVtq/Jamtr5XI5RQ2AkihquEn79u0lSSopKREdRHPJ/t7SpUuV2YK9vf2+ffvKyspGjRrVrl27xx9/vGfPnkePHu3evft9rdMCAnfdatvXcFevXpUkydbWVnQQANqBc9Rwk8rKSisrqz179ijuoQBAtTIyMgYMGJCdnd27d2/RWQBoAUbUcBNLS0szM7Pi4mLRQQDdpBhR69Chg+ggALQDRQ23srW1pagBalJcXGxgYNC2bVvRQQBoB4oabmVra6v4pR+Ayl29erVdu3aGhoaigwDQDhQ13IqiBqhPcXExVxIAUB5FDbfq0KEDU5+AmpSUlFDUACiPooZbdenSpaCgQHQKQDedP3/ewcFBdAoAWoOihlu5uLjk5+eLTgHopry8vG7duolOAUBrUNRwKxcXl8uXL1dVVYkOAuigvLw8FxcX0SkAaA2KGm7VrVs3uVyuJ4/HBlpTeXl5aWkpI2oAlEdRw60UP0WY/QRULi8vT/rftxgAKIOihltZW1u3a9dO8RMFgArl5+fLZLKuXbuKDgJAa1DUcAfdunVjRA1Quby8vE6dOllYWIgOAkBrUNRwBz179szJyRGdAtA1ubm5PXv2FJ0CgDahqOEOXF1dMzMzRacAdE1GRoabm5voFAC0CUUNd+Dm5nb27NmysjLRQQDdIZfLT5w44erqKjoIAG1CUcMduLm5KX6oiA4C6I78/PyKigpG1ADcF4oa7qBr165t27Zl9hNQoczMTJlM1q9fP9FBAGgTihruQCaTubq6ZmVliQ4C6I6srKxu3bpZW1uLDgJAm1DUcGdcTwCoVlZWFvOeAO4XRQ13NmDAgIyMjPr6etFBAB3xxx9/uLu7i04BQMtQ1HBn3t7elZWVDKoBKnH58uU///zT29tbdBAAWoaihjvr27dv+/bt4+PjRQcBdEFcXJyhoeGQIUNEBwGgZShquDOZTDZ8+HCKGqAS8fHxbm5uNjY2ooMA0DIUNfwtb2/vuLg40SkAXRAXF8e8J4AWoKjhb3l7e1+4cOHcuXOigwDarbq6OiMjg6IGoAUoavhbgwcPNjExYfYTeEDJycl1dXUUNQAtQFHD3zI3N/f09Dxw4IDoIIB2O3jwoIuLi5OTk+ggALQPRQ134+vrGxkZKZfLRQcBtFhkZKSfn5/oFAC0EkUNdzNx4sSCggKezg60WHFxcUpKCkUNQMtQ1HA3np6eHTt2jIqKEh0E0FbR0dGGhoZjxowRHQSAVqKo4W4MDAx8fHwiIyNFBwG0VVRU1IgRI3gWO4CWoajhHvz8/OLi4q5duyY6CKB9GhsbY2JimPcE0GIUNdzDhAkT6uvrY2NjRQcBtE9qauqVK1coagBajKKGe7Czsxs6dGh4eLjoIID22bFjh7Ozs6urq+ggALQVRQ335u/vv2PHjpqaGtFBAC2zZcuWgIAAmUwmOggAbUVRw70FBgZWVlbGxMSIDgJok5SUlD///DMgIEB0EABajKKGe+vSpYuXl1dYWJjoIIA2CQsL6969+6BBg0QHAaDFKGpQSkBAwO+//15dXS06CKAd5HL5li1bAgMDmfcE8CAoalCKv79/VVUVd74FlJScnJyfnx8YGCg6CADtRlGDUuzt7UeOHBkaGio6CKAdQkNDe/Xq5e7uLjoIAO1GUYOyZs2atXPnzqtXr4oOAmi6urq6TZs2zZo1S3QQAFqPogZlzZgxw8TEZOPGjaKDAJouPDy8pKRkzpw5ooMA0HoyuVwuOgO0xvz58w8fPnzy5EnOjwbuwsfHx9zc/PfffxcdBIDWY0QN9yE4ODg7OzsxMVF0EEBz5eXl7d+/PygoSHQQALqAoob74Onp6eHhsXbtWtFBAM21bt26jh07Tpw4UXQQALqAoob7ExQUFBoaWlZWJjoIoInq6+t//vnnefPmGRsbi84CQBdQ1HB/nn76aQMDgw0bNogOAmii8PDwS5cuPffcc6KDANARXEyA+/byyy/v2rXr9OnTRkZGorMAmmX48OFdunTZtm2b6CAAdAQjarhvb7zxxvnz5/lRBNziyJEjSUlJCxYsEB0EgO5gRA0t4e/vn5+ff+zYMdFBAA0yderUixcvJicniw4CQHcwooaWeOutt1JSUg4fPiw6CKApcnNzIyIiFi5cKDoIAJ3CiBpaaMSIEba2tjt37hQdBNAI//jHP/bu3Zubm2toaCg6CwDdwYgaWmjBggW7du06deqU6CCAeJcvXw4JCVmwYAEtDYBqMaKGFmpsbHR1dXVzc/vtt99EZwEEe+ONNzZv3nzmzBlzc3PRWQDoFEbU0EIGBgZLly4NCwvLyMgQnQUQ6eLFi6tXr3777bdpaQBUjhE1tJxcLh84cGD37t25VQf02YsvvhgeHv7nn39S1ACoHCNqaDmZTPbBBx/s2LGD+3RAb507d+7HH398//33aWkA1IERNTyoYcOG2dnZRUREiA4CCBAcHKy42NPExER0FgA6iBE1PKilS5fu2rUrKSlJdBCgtZ05c2bDhg3vv/8+LQ2AmjCiBhUYPXp0fX19XFycTCYTnQVoPdOnTz958mRmZibPvQWgJoyoQQW++uqr5OTkzZs3iw4CtJ4DBw5s27Zt1apVtDQA6sOIGlQjKCgoOjo6Ozu7TZs2orMAatfQ0DBo0CBHR8ddu3aJzgJAlzGiBtX4+OOPr127tmLFCtFBgNawbt26kydPfv7556KDANBxjKhBZT777LOlS5eeOnXK2dlZdBZAjSoqKnr37j1z5sxVq1aJzgJAx1HUoDK1tbX9+vUbPHgwD5WCbluwYEFISMjp06fbtm0rOgsAHcfUJ1TG1NR01apVmzdvjo6OFp0FUJe0tLSvv/562bJltDQArYARNaiYv7//sWPHjh8/bmlpKToLoGINDQ1Dhw41MTGJi4szMOAXXQBqx380ULFvvvmmoqLi/fffFx0EUL1Vq1YdP3583bp1tDQArYP/a6Bi9vb2K1as+PLLLxMTE0VnAVQpPz//gw8+ePfddx9++GHRWQDoC6Y+oXpyudzX1/fy5cupqanGxsai4wCq4evre+nSpZSUFB4YBaDVMKIG1ZPJZN9///2ff/65fPly0VkA1Vi/fn1sbOzatWtpaQBaEyNqUJdVq1YtWrQoISHB09NTdBbggfz1118eHh5BQUHc4RZAK6OoQV0aGxsnTJiQn5//xx9/WFlZiY4DtFB9ff2oUaMqKipSUlLMzMxExwGgX5j6hLoYGBhs2LChtLT0X//6l+gsQMt99NFHaWlpv/76Ky0NQOujqEGNunTpsnbt2jVr1mzZskV0FqAl4uPjly1btnLlSjc3N9FZAOgjpj6hdkFBQdu3b8/IyHBychKdBbgPlZWVHh4ePXr02LNnj0wmEx0HgD6iqEHtKisrBw4c6OjoGBMTY2RkJDoOoKwZM2YcPHgwMzOzY8eOorMA0FNMfULtLC0tQ0NDk5KS3nnnHdFZAGV98cUXW7du/eWXX2hpAASiqKE1eHh4rF27duXKlWFhYaKzAPeWkJCwcOHCZcuWjR8/XnQWAHqNqU+0nhdffDEkJCQpKalfv36iswB/69KlSwMHDhwyZMiOHTs4NQ2AWBQ1tJ4bN26MGzfu8uXLR48etbGxER0HuIMbN26MHTv2ypUr/CsFoAmY+kTrMTY2/u2338rLy+fOndvY2Cg6DnAHr776anp6+o4dO2hpADQBRQ2tysHBISwsbPfu3VxYAA301VdfrV69ev369Q8//LDoLAAgSRQ1tL5Ro0Zt2LDhs88+++6770RnAf7f7t27FyxY8Mknn0yfPl10FgD4L25qBQFmzJiRnZ39yiuvODk5TZ48WXQcQEpNTQ0MDJwzZ87ChQtFZwGA/8fFBBBDLpfPnTt3+/bthw8fHjBggOg40Gv5+fnDhw8fMGBAREQE92QGoFEoahCmrq7Oz8/v9OnTSUlJDg4OouNAT5WVlXl7exsbGx85csTKykp0HAC4CUUNIil+RspksoMHD3bo0EF0HOid69evT5gw4ezZs/y2AEAzcTEBRGrbtm1MTEx1dfX48eNLS0tFx4F+qaur8/f3z83NjY6OpqUB0EwUNQjm4OBw4MCBsrKyRx99tLKyUnQc6IsbN25Mnz49ISEhMjKSm3EA0FgUNYjXtWvXvXv35ufnT5kypbq6WnQc6L7GxsbZs2fHxsZGREQMGjRIdBwA+FsUNWiEnj17RkVFpaWl+fv719XViY4DXSaXy4ODg3fs2BERETFy5EjRcQDgbihq0BTu7u6RkZGHDx9+8skna2pqRMeBbmpoaAgKCvrll1+2bt06duxY0XEA4B646hOaJSUlxc/Pr3///hEREdwrAapVX1//3HPPhYWFbd68eerUqaLjAMC9UdSgcU6cOOHj4+Po6BgVFdW+fXvRcaAjamtrZ86cGRMTEx4ePn78eNFxAEApFDVoopycnPHjx9vZ2UVHR9vZ2YmOA61XVVU1derUY8eO7d6928vLS3QcAFAWRQ0a6q+//ho/fryFhUVMTEyXLl1Ex4EWKysre+yxx06fPh0dHc3zygBoFy4mgIbq3r374cOHGxoahg8fnpWVJToOtFV+fr63t/fZs2cPHjxISwOgdShq0FyOjo4JCQndu3f38vLas2eP6DjQPseOHRs+fLihoWFCQkLfvn1FxwGA+0ZRg0Zr165ddHT01KlTp0yZsnr1atFxoE2ioqLGjRvn6uoaFxfn5OQkOg4AtARFDZrOxMQkJCRk8eLFL7zwwquvvtrY2Cg6EbTAmjVrJk+eHBAQsHv3bmtra9FxAKCFuJgAWmP9+vXz58+fOnXqTz/9ZGlpKToONFRdXd3rr7/+/ffff/LJJwsXLhQdBwAeCEUN2mT//v0zZszo2LHj9u3be/XqJToONM6FCxcCAgKysrLWr1//5JNPio4DAA+KqU9ok7Fjx/7xxx9WVlaenp7btm0THQea5ciRI4MHDy4uLk5MTKSlAdANFDVoGUdHx4MHD86dO9ff33/RokUNDQ2iE0EjrFmzZty4cZ6enkePHu3Xr5/oOACgGkx9QlutW7fupZdeeuSRR0JCQjp27Cg6DoSpqKh4/vnnt27dumzZsrfeeksmk4lOBAAqQ1GDFjt27FhAQEB1dfX69esnTpwoOg4EiI+Pf+aZZ6qqqn755Ree4AlA9zD1CS02ePDgjIyMKVOmTJo0af78+VVVVaITofXU19cvX758zJgxPXv2TEtLo6UB0EmMqEEXbNmyZf78+fb29r/++iuPCdIHZ8+enTVrVkpKyqeffvrKK68w3QlAVzGiBl3g7++flpZma2s7fPjwVatWcYWBDpPL5evXr3dzc7t27VpKSsqrr75KSwOgwyhq0BHOzs4HDx5899133377bS8vr8zMTNGJoHpnzpzx9fUNDg4ODg5OTk7m6k4AOo+iBt1haGi4ePHi48ePW1hYDBo0aNGiRTU1NaJDQTXq6+u/+uqrAQMGXLp0KS4ubuXKlaampqJDAYDacY4adJBcLl+7du2bb75pZ2f3ww8/jBs3TnQiPJDMzMygoKD09PQ33njjgw8+oKIB0B+MqEEHyWSy559/Pisrq0+fPj4+PkFBQZcvXxYdCi1RVlb2xhtvDBo0yMzMLDMz89NPP6WlAdArFDXorK5du+7ateu3336Ljo7u1avXihUr6urqRIeCshoaGn744YdevXpt3Ljx22+/PXToUJ8+fUSHAoDWxtQndF9VVdU333zz0Ucf2dvbf/zxx/7+/qIT4R4OHjz42muvnTx5cu7cucuWLevQoYPoRAAgBiNq0H0WFhYLFy48efKkp6dnYGCgj48P14RqrDNnzjz55JNjxoxxcHDIysr64YcfaGkA9BlFDfrCycnpt99+O3LkSFlZmYeHx8yZM7Ozs0WHwv87e/ZscHBw3759T506FRkZuXv37t69e4sOBQCCUdSgX7y9vY8ePRoeHp6dnd2vX7+AgIDc3FzRofRaZGTklStXFi1a1KdPn7179/7nP//JzMz08/MTnQsANALnqEFPNTY2bt68+YMPPvjrr79mz569ZMkSZ2dn0aH0zuXLl4cNG1ZQUNC5c+fFixc/99xzxsbGokMBgAZhRA16ysDA4Kmnnjp16tSvv/56+PDh7t27T548OTk5WXQufXHmzJlXX321e/fuly9frq+vf/755+fPn09LA4BbUNSg1wwMDPz9/U+cOLF+/fpz584NGzbMx8cnKiqKkWb1iYuLmzp1aq9evfbs2bNixYp33nlHkqQlS5Z89NFHoqMBgMahqAGSsbHxs88+m56eHh0dLZPJJk6c6Obm9vPPP9fW1oqOpjvq6+u3bt06fPjwkSNHFhUVbdmyJScn54UXXujRo4eBgYEkSe+9996iRYtExwQAzUJRA/5LJpP5+vrGxMRkZGR4eXn985//tLe3nz9/fkZGhuho2q2goGD58uU9evQIDAzs0KFDXFxcfHz8tGnTFP3M2dm5sbFRkiS5XP7ZZ58tXLhQdF4A0CBcTADc2cWLF9evX//jjz/+9ddfXl5ewcHBAQEBFhYWonNpjdra2p07d65du3b//v329vZz586dN29et27dblmtsLDQwcGh6UMDA4PXXnvt888/b92wAKChKGrA3TQ2Nu7fv3/dunXh4eFmZmYzZsyYMWPGqFGjFKNBuJ1cLk9OTg4NDf3ll19KS0sfffTRoKCgRx991MjI6I7rNzY2mpmZ3bhxo2mJgYHBK6+8smrVKplM1lqpAUBDUdQApRQXF4eEhISEhGRkZHTu3Hn69OkBAQFeXl40tiYpKSlhYWFhYWFnz57t1avXM888M3fu3OajZX/HycmpoKCg+RIDA4OgoKDVq1fT1QDoOYoacH+ys7MVdeTEiROOjo7Tp0+fNm3a8OHD/27ESLc1Njampqbu2LEjLCzszJkz3bt3DwwMDAgIGDBggPIbGT169OHDh29ZaGBgMHfu3DVr1lCFAegzihrQQsePH1c0tpycnLZt244fP97Pz2/ixIldunQRHU3tioqKYmJiIiMjY2JiioqKnJ2d/f39AwMDPT09W7C15557buPGjfX19bcsNzAwmD179rp16+hqAPQWRQ14ULm5uVFRUZGRkYcOHaqurnZ3d/fz8xs7duzw4cOtrKwU69y4cUPb7+ZaVVV19OjR/fv3R0VFpaamGhkZjRgxws/Pz8/Pz9XV9UG2/OGHH3788cd/dzOUuXPn0tUA6C19nKwBVKtXr169evV65ZVXqqurDx06FBUVFR4evnz5ckNDQ1dX1xEjRshkskcffVQbn1956dKl+Pj4uLi4hISEtLS0GzduuLi4TJgwYfHixePGjbO0tFTJXpydnW8fTpMkydDQ0Nraum/fvnV1dWZmZirZFwBoF0bUALW4dOlSQkJCXFzckSNHUlJSJElydHQcMmRI//79XV1d3d3du3fvbmhoKDrmTeRyeX5+fmZm5vHjxzMzM1NTU8+cOdNUN728vEaMGOHk5KTy/R48eHDMmDHNlygq2sKFC19++WVuiQJAn1HUAPV68cUXv/vuu5deeqlz585paWmZmZlnzpxpaGiwsLB4+OGH3d3d+/Tp4+Li0q1bNxcXF1tb21YLVl5enpeXl5+fn5eXl5OTo+hn165dk8lk3bp1c3Nzc3d39/Lyaj6BqyZ5eXndu3dX/N3AwMDa2trKyiorK8vGxkat+wUAzUdRA9To2LFjw4YNk8vlr7/+etNNXKuqqk6ePJmRkaEYuMrNzS0sLFTcnd/a2lpR2rp27Wpra9uhQwfFn01/MTc3V3LXNTU1V/+nqKiouLhY8ffz588ryllpaalizc6dO/fs2dPV1dXNzc3V1bV///7qbma3uHHjhpmZWWNjo729/ZIlSyZNmtSnT58vv/xy/vz5rRkDADQQRQ1Ql4aGBg8Pj1OnTjU0NEydOnX79u1/t2ZdXd3Zs2cV/UnxZ0FBQVPNamhouGX9tm3bymQyExOTNm3aNC2sqqpSnI9fVlZ2y/e1TCaz/R8HB4emATzFn5pw+teoUaNmzZo1Z84cExMTSZJeeOGF3bt3nz59WvEhAOgtihqgLl9++eWCBQsUQ2Xu7u7p6ekt205JSUnTeFh1dbUkSeXl5Y2NjXV1ddevX29azdzcXFG52rVrJ0mSmZmZbTMafudYuVzePOH58+d79Ojx3XffzZs3T2AqABCOogaoxcWLF3v27NlUpNq1a1dSUiI2knZ5/vnnY2Njc3Jy9PNOwgCgwK2JALV44YUXmj+/sqysTDEYBiUtXry4oKBg06ZNooMAgEiMqAGqFxUVNXHixFsW5uTk9OrVS0geLfXcc88dOXLk1KlTDKoB0FuMqAEqVlVV9fzzz99+j7SzZ88KyaO9Fi9enJ+fHxoaKjoIAAhDUQNU7MMPP7x48eItl2oaGRlR1O7XQw89NHPmzGXLlikuyAAAPURRA1TpxIkTK1euvP2BSIaGhufOnRMSSastWbIkNzd3y5YtooMAgBgUNUBl5HL5/Pnz7/j48Pr6ekbUWqBnz54BAQEffvghg2oA9BNFDVCZH3/8MT4+/o7PF29oaDhz5kzrR9IBS5Ysyc7O3rFjh+ggACAAV30CKpOQkLBv3774+PjExMRr164ZGBgYGho23aTDwcGhoKBAbEItFRAQkJubm5aWpuG37QUAlaOoAaonl8tTUlKGDh3q4+Nz9uzZ06dPNzY2GhkZ1dTU3H41KO7pxIkTbm5u27dvnzJliugsANCqKGqAWihupXbx4kV7e/tr164lJycnJSW9+uqrrfy8c50xbdq0/Pz81NRUBtUA6BWKGqAWS5cu3bhxI+elqUp6evrAgQMjIiImTZokOgsAtB6KGqAWEyZMsLOz++WXX0QH0R2PP/74lStXkpKSRAcBgNbDVZ+A6snl8mPHjg0bNkx0EJ2ydOnSo0ePRkdHiw4CAK2HETVA9U6ePNmvX7+UlJRBgwaJzqJTHn300bKysoSEBNFBAKCVMKIGqF5iYqK5ubmbm5voILrmvffeS0xMjI2NFR0EAFoJI2qA6gUFBeXm5h4+fFh0EB3k6+tbVVUVFxcnOggAtAZG1ADVS0pKGj58uOgUumnp0qXx8fGHDh0SHQQAWgMjaoCKVVRUtGvXbtu2bVOnThWdRTeNHTvWwMBg3759ooMAgNoxogaoWFJSUmNj45AhQ0QH0VlLliyJjY09cuSI6CAAoHYUNUDFEhMTXVxcunTpIjqIzhozZsyoUaOWLVsmOggAqB1FDVAxTlBrBe+++250dHR8fLzoIACgXhQ1QJXkcvnRo0e51a26+fj4jBgx4pNPPhEdBADUi6IGqFJ2dnZJSQkjaq3gnXfe2b1797Fjx0QHAQA1oqgBqpSUlGRmZubu7i46iO6bOHHikCFDOFMNgG6jqAGqlJiY6OnpaWJiIjqIXnj33Xd///331NRU0UEAQF0oaoAqJSUlcYJaq5k8efKgQYM4Uw2ADqOoASpz7dq1kydPcoJaa3rnnXe2b9+emZkpOggAqAVFDVCZ5OTkhoaGoUOHig6iR6ZOnerm5vbxxx+LDgIAakFRA1QmMTGxa9euDg4OooPoEZlMtnjx4i1bthw/flx0FgBQPYoaoDLc6laI6dOn9+vX79NPPxUdBABUj6IGqAa3uhVFJpO9/fbbmzdvzsnJEZ0FAFSMogaoCXJVWQAAIABJREFURm5ubnFxMSNqQgQEBPTs2ZPLPwHoHooaoBqJiYmmpqYDBgwQHUQfGRoavvPOO7/88svp06dFZwEAVaKoAaqRlJQ0aNAgU1NT0UH01FNPPfXQQw8tX75cdBAAUCWKGqAaiYmJzHsKZGhouGjRopCQkLy8PNFZAEBlKGqACly/fv3kyZNcSSDWrFmznJycGFQDoEsoaoAKJCcn19fXU9TEMjY2XrRo0U8//XT27FnRWQBANShqgAokJiY6OTk5OjqKDqLv5syZ4+DgsGLFCtFBAEA1KGqACvAsdg1hbGz81ltvrVu37sKFC6KzAIAKUNSAByWXy5OTk7mSQEPMmzfP3t5+5cqVooMAgApQ1IAH9eeffxYVFTGipiFMTEwWLFiwevXqwsJC0VkA4EFR1IAHpbjVrYeHh+gg+K/g4GBbW9svvvhCdBAAeFAUNeBBJSUleXh4mJmZiQ6C/zIzM1uwYMH3339/5coV0VkA4IFQ1IAHxa1uNdA///lPa2trBtUAaDuKGvBArl+/fvz4cU5Q0zRmZmavv/76N998U1RUJDoLALScTC6Xi84APKg333zz119/FbLrhoaG0tLSdu3aGRoaqmP7o0ePFvXWBOrbt29FRcUDbkQulxcVFbVt29bExEQlqVRixYoVTz31lOgUALSGkegAgAqUlpZaWVnNnz9fdBAVCw0NLS4uFp1CgMLCQj8/vwcfp5TL5TKZTCWRVOKdd965fv266BQAtAlFDTqia9eur7/+uugUKnbixIlz586JTiHG+PHjg4ODRadQsaVLl4qOAEDLcI4aAACAhqKoAQAAaCiKGgAAgIaiqAEAAGgoihoAAICGoqgBAABoKIoaAACAhqKoAQAAaCiKGgAAgIaiqAEAAGgoihoAAICGoqgBAABoKIoaAACAhqKoQR+dPXv28ccfr6ioaFqSnp4+adKktm3bWllZjR8/Pj4+vmVbvvt2Fi1aFBoa+kDRcRv1HU1Jkvbs2dOrVy8jI6PbX+JoAmgFFDXonfT0dE9PT19fX2tra8WS5ORkLy8vKyurU6dO5eXlde/e/ZFHHomJibnfLd9zO8HBwW+//faSJUtU9mb0nvqO5pkzZx5//PG333778uXLd1yBowmgNcgB7Tdv3jwfHx9l1iwvL3d0dJw/f37TkoaGhn79+nXu3LmqqkqxpL6+vnfv3k5OTjU1NcpnUHI76enpMpksNDRUmW0q/750jLW19Zo1a+65mvqOplwunzlz5ieffHLjxg0HBwdDQ8M7rnNfR1Ou9PsCgCaMqEG/fPbZZ5cuXXrvvfealhw+fPjEiRPTp083NzdXLDE0NJw5c+b58+d37dql/JaV3I67u/v06dMXLFhQX1+vijek19R3NCVJ+vHHHxctWnTHSc8mHE0A6kZRgx6Ry+Xr1q0bOnRoly5dmhbu379fkiRPT8/mayo+jI2NVX7jym/niSeeKCgo2L17932/ATSj1qMpSVJT1bs7jiYAtaKoQY9kZGRcvnzZ3d29+cLs7GxJkhwdHZsvdHBwkCQpNzdX+Y0rv50BAwZIkhQdHX1f4XELtR5N5XE0AagVRQ165Pjx49JtP8XLysokSWrTpk3zhZaWlpIklZaWKr9x5bej6A2KMGgxtR5N5XE0AagVRQ165OLFi5Ik2djY3HNNuVwuSZJMJnvAPd5xO9bW1jKZTBEGLdb6R/OOOJoA1IqiBj1SU1MjSZKxsXHzhW3btpUk6fr1680XKj5UvKSk+9qOkZFRdXW18hvH7dR6NO8LRxOA+lDUoEfMzMwkSbpx40bzhX369JEkqaCgoPnCCxcuSJLUq1cv5Td+X9upr69X8lx1/B21Hs37wtEEoD4UNeiRzp07S5JUXl7efOGYMWMkSUpNTW2+UPHhuHHjlN+48tupqKiQy+WKMGgxtR5N5XE0AagVRQ16pH///tJtwy2jR49++OGHt27dqphKkySpoaFh8+bNTk5OkyZNUn7jym9HMcCjCIMWU+vRVB5HE4BaUdSgR9zd3Tt27JiRkdF8oYGBwY8//lhSUjJ37txLly5dvXr1xRdfPH369Nq1axWTawqzZs2SyWR5eXl/t3EltyNJUnp6uiRJvr6+qn5/+kWtR1N5HE0AakVRgx6RyWRBQUHJycmFhYXNlw8bNiwhIaG8vLx3794uLi6nT58+ePDghAkTmq9z8eJFS0vLrl273mX7ymxHkqQdO3Y4ODioaYBHf6j7aO7atUsmk8lksgsXLjQ0NCj+vm7dultW42gCUKu7PR0F0D1vvfXWhg0bPvzww9WrVzdf7uHhsWfPnr/7rLKyssTExKefftrQ0PD/2LvzuJryx3/g57bvi4rKVqSyVCqJVi3qhkQIY1/C2LexjbF8zAzGZBjLWAfZUg1GVKRSui3S0CLJUiGVivb9dn9/3N+3j0+TlO6973vPfT3/mIfqzvu8bnVOr/M+W/vjtz8ORVGpqanBwcGXLl1qdbkifAW+/jTHjRvHva9HO/DTBAB+w4waiBdVVdWQkJDg4OAjR4508H/hcDgrV65UUVHZtWtXF5f+6tUrb2/vzZs3T5s2rYtDAYWfJgCIARQ1EDvm5uYPHz4MCwurqKjoyOuLiopevXoVGRmpra3dxUUfP378p59++umnn7o4DrTATxMA6A2HPkEc6enp3bx5s4Mv1tbWjouL48ly9+7dy5Nx4FP4aQIAjWFGDQAAAEBIoagBAAAACCkUNQAAAAAhhaIGAAAAIKRQ1AAAAACEFIoaAAAAgJBCUQMAAAAQUihqAAAAAEIKRQ0AAABASKGoAQAAAAgpFDUAAAAAIYWiBgAAACCkUNQAAAAAhBSKGsB/FRQUBAcHk04BhAUGBtbV1ZFOAQBAURQlRToAAG/Exsb27NmzKyM0NTWVlpaqqKisWrWKV6m6qKyszNbWlnQKMjZs2LBjxw4iiy4vL2cwGCoqKjwfubKykudjAgC9oagBHUybNm3w4MFdGaGwsPDo0aNsNnv27Nl9+/blVbCuE6owArN79+76+npSS/f3909NTV2wYAE/vvkjR47k+ZgAQGMMDodDOgMAYSkpKa6uruXl5RwOp7i4WFNTk3QiIMnR0TE2NrZ///7p6eny8vKk4wCAWMM5aiDu7t+/7+joWFlZyeFwlJSU0NKgsLCQoqi8vLwffviBdBYAEHcoaiDWoqOj3dzc6urq2Gw2RVH9+vUjnQjIKykpoSiqqalp//79sbGxpOMAgFhDUQPxFRIS4u7u3tDQwG1pEhISAwcOJB0KCONwOOXl5dx/S0hIzJw5s6qqimwkABBnKGogpi5dujRx4kQ2m93c3Mz9jLS0tKGhIdlUQFxZWRm3uFMUxWazCwoKtmzZQjYSAIgzFDUQR8eOHZs5c+anLY2iqKampv79+xNMBcKguLj40w+bmpoOHz587949QnEAQNyhqIHY2bt377fffvvv653ZbLaBgQGRSCA8WhU16v8OgOIWaABABIoaiJfNmzdv3rz5c19FUQPulQSfYrPZ79+/37hxI5E8ACDmUNRAjBw9enTPnj2f+6q8vHyPHj0EmQeEUHFxsZRU6zuBNzY2Hjt27Pbt20QiAYA4Q1EDMbJ06dKIiIghQ4YwGAwJida//Lg3B1AUVVxcLCkp+e/PMxiM2bNnl5WVCT4SAIgzFDUQL66urqmpqVeuXOnduzeDwWAwGNzPS0hIDBo0iGw2EAYlJSVtPq+lubn5/fv3GzZsEHwkABBneNYniB0GgzFlypTAwEBFRcWKioqCgoLm5mYpKSmcoAYURZWUlDQ1NbV8KCMj09DQICkpaWFh4eHh4eLiQjAbAIghzKiBOEpPT7969eqPP/748uXLQ4cOaWlpNTQ0oKgBRVEFBQUcDoc722pkZNTc3Pzjjz+WlZU9ePBg586dDg4OpAMCgHjBQ9lBHHl6ehYUFCQnJ3MPfdbV1f3xxx+Ojo4WFhakowFhU6dOVVdXd3Z2dnZ21tTUNDY2njhx4u7du0nnAgAxhaIGYic5Odna2jo0NJTJZJLOAsJu2bJlycnJDx48IB0EAMQUihqIHVdX17q6uri4ONJBQARcvXrVx8enuLhYXV2ddBYAEEc4Rw3Ey/379yMjI3ft2kU6CIgGZ2dniqJiYmJIBwEAMYUZNRAvjo6OMjIyERERpIOAyLC0tLSxsTl06BDpIAAgjnB7DhAjYWFhsbGxCQkJpIOAKHFxcbl58ybpFAAgpjCjBuKCw+GMGDGiR48eN27cIJ0FRMnt27eZTObbt2979uxJOgsAiB2cowbi4tq1a8nJyTt37iQdBESMvb29rKxsdHQ06SAAII4wowZiobm52cLCwtDQMDAwkHQWED2Ojo79+/f/888/SQcBALGDc9RALAQEBGRkZFy+fJl0EBBJLi4up0+fJp0CAMQRZtSA/ths9uDBg62trc+dO0c6C4gkFotlZ2f3/PlzPGcMAAQMM2pAf2fPnn316tWtW7dIBwFRZW1traysHBkZiaIGAAKGGTWgucbGRiMjo9GjRx8/fpx0FhBhY8aMUVJSwjmOACBguOoTaO7EiRPv3r3bunUr6SAg2lxcXKKiopqbm0kHAQDxgqIGdFZXV7d79+4lS5b07t2bdBYQbS4uLqWlpWlpaaSDAIB4QVEDOjt8+HBZWdmmTZtIBwGRZ2ZmpqWlFRkZSToIAIgXFDWgraqqqn379q1YsUJbW5t0FhB5DAZj1KhRUVFRpIMAgHhBUQPaOnDgQE1Nzdq1a0kHAZpwcXGJiYlpaGggHQQAxAiKGtBTWVnZ/v37161bp6WlRToL0ISLi0t1dXVycjLpIAAgRlDUgJ5+/fVXiqJWr15NOgjQh4GBgZ6eHk5TAwBBQlEDGiopKfn99983btyopqZGOgvQipOTE4oaAAgSihrQ0O7du+Xk5JYtW0Y6CNCNs7NzYmJidXU16SAAIC5Q1IBuCgoKjh079v333yspKZHOAnTj4uLS2NgYFxdHOggAiAsUNaCbH3/8UU1NbdGiRaSDAA3p6OgYGxvj6CcACAweyg60kpeXd/r06d9//11eXp50FqAnFxcXFDUAEBjMqAGt7Ny5U0dHZ+7cuaSDAG25uLg8fvy4pKSEdBAAEAsoakAfz58/P3/+/M6dO2VkZEhnAdoaNWoUg8GIjY0lHQQAxAKKGtDH9u3b+/Xr980335AOAnSmpqZmYWGBo58AIBg4Rw1oIiMj48qVKwEBAVJS+K0G/nJxcbl27RrpFAAgFhgcDod0BgAemDhx4suXLx8/fiwhgXli4K+IiAg3N7c3b9706tWLdBYAoDn8SQM6SElJ+fvvv3/++We0NBAAe3t7OTm5qKgo0kEAgP4wowZ04OHhUVpampSUxGAwSGcBseDk5NSnT59z586RDgIANIezeUDksVis8PDwiIgItDQQGBcXlz/++IN0CgCgP8yoiZLq6urS0tLS0tKSkpKSkhLuv2tqasrKyiiKqq+vr6mpoSiqsrKyqamJoigJCQlVVVWKouTk5Lg3gFVRUVFUVNT4hKampoaGhrKyMtF31iVOTk5NTU33798nHQTESEJCgo2NTVZWlpGRUddHa2xsLP1fxcXF5eXlVVVVjY2NHA6n1TpOUZSysrKUlJSkpKSKigpFUfLy8goKChptwQ4MgEjDjJowKioqym1LXV1dy2skJSW5NUtJSYm7pW5pYzo6OtLS0hRFsdnsiooKiqLKysoKCgooiqqqqqqsrOT+JWhsbGwZTUZGpk+fPnr/R19fn/sPHR0dId/KR0RE3Lt37969e6SDgHixsrJSUVGJiorqVFGrrq7OycnJzc3l/rfFhw8fPn2ZqqqqlpaWqqqqioqKpKRkyx6XioqKtrY29zUVFRVsNruxsfHVq1cURdXX11dVVXFX7U+fGc9gMLS1tVvW6BZ9+/bF7QYBRAJm1MirqKhIT09PT09PTU3l/oPbriQlJXv16vVpc+LOfnH7mbq6eteX2zIzV1JSkpeXx/2bkZOT8+bNG26NU1RUHDx4sJmZmYmJiYmJiampabdu3br+lnlo5MiR6urqoaGhpIOA2PH09JSVlQ0ODv7cCxobG589e5aenp6WlpaWlpaenv7mzRvul7S0tD6tTTo6Op9OcnfxFjN1dXXclZo7M/fu3btPq2FlZSVFUZKSkgYGBqampqamptxVW09PT8j3ygDEE4oaAbW1tcnJyXFxcQ8ePEhLS8vJyaEoSlVVlVuGzMzMBgwYoKen17t3b+7EmOCx2ez8/Pzc3Nzs7OyWEsnd6e/Vq5eJicnw4cNtbW1HjBhB9phpSEjI+PHjk5KShg8fTjAGiKcDBw7s2rWruLi45Vrj5ubmp0+fslis+Pj41NTUzMzMhoYGaWlpY2NjbhkaOHBgv3799PT0lJSUSMUuKSnJzc199epVRkYGt0Tm5ORwOBwVFZUhQ4ZYWFjY2NjY2dn17t2bVEIA+BSKmoAUFhbGx8fHxcXFx8f/888/jY2NvXr1Gjly5NChQ7n9TE9Pj3TGL8jPz2+ZG0hMTHz58qWkpKSJiYmdnR2RLTuHw7GwsNDX17969aoglwvAlZ6ebmpqymKxGhsbueUsPj7+48ePSkpK1tbWlpaW3FV74MCBQn6QsbKyklvaUlNTU1JSWjZQLau2qamppKQk6ZgAYgpFjY9qa2tjY2PDwsLCw8OfPXvWUmtGjhxpZ2fXp08f0gG7pKCgID4+nvv3ibtl19fXd3d3ZzKZLi4uApgwCAwMnD59+j///GNmZsbvZQF8isPhpKWlhYaGnjp16vXr101NTS21xtbW1tTUVKQfj1FTU8Od8o+Pj09ISPj48aOysrKLiwuTyWQymX379iUdEEC8oKjx3vPnz8PDw8PCwmJiYmpqakxNTZlMpqurK/EDhfzD3bJHRkaGh4enpKRISUnZ29tzN+tDhgzhxxLZbLaJiYm5ufnFixf5MT7Av5WVlUVERISHh4eHh797965Hjx7u7u7u7u729vZ0PVDIPZgbExMTHh4eFRVVXV09aNAgDw8PJpNpb28vKytLOiAA/aGo8UxaWlpgYGBQUFB2draqqqqrqyt3c9azZ0/S0QSquLj49u3bYWFhd+7cKSkp6dOnz+TJk318fIYPH87DU5X9/f3nz5+fkZFhbGzMqzEB2lRcXPzXX38FBgbev3+fw+GMGDGCu2pbWFiI1dn39fX19+/f5+6FZmZmKioqjhkzZurUqWPGjOFebw4A/ICi1lWZmZmBgYFXrlzJysrq06fPlClTxo8fb2NjI9LHPniiubn54cOHN27cCAwMfP78uZ6eno+Pj4+Pj6WlZRdHbmxsHDhwoKOj4+nTp3kSFeDfPnz4cPXq1cDAwKioKFlZ2XHjxk2aNGn06NFdv+CaBvLy8sLCwoKCgmJiYuTl5T09PX18fJhMppycHOloAHSDovaV3r59e/bs2StXrmRkZPTs2ZM7aTRy5Eix2sPuuEePHl25ciUwMDAnJ8fAwGDq1Klz5841MDD4utGOHz++YsWKrKysfv368TYnQF1dXXBw8KVLl+7evSslJeXh4TF16tRx48YpKCiQjiaMioqKgoODAwMD4+LilJSUvLy8Zs2a5eLigqfuAvAKilrnNDU1hYaGnjx5MiwsrFu3bj4+PlOnTrW1tcVWqYOSk5MDAwMDAgLy8/OdnJx8fX0nTpzYqTNd6urqDA0Nx48ff/jwYf7lBDGUnp5+6tSp8+fPV1VVcfuZp6cnXc8r5bl3794FBwcHBAQkJCT069dvwYIFc+fO1dXVJZ0LQPRxoGPevn27Z8+evn37SkhIuLq6njt3rqamhnQoUcVmsyMiIqZMmSItLa2mprZo0aLU1NQO/r+//fabnJzcmzdv+JoQxEdtbW1gYKCrqytFUQYGBtu3b3/9+jXpUCIsKytr48aNWlpa3E1lYGAg9ylYAPB1UNS+oLm5+fbt20wmU0JCQkdHZ8uWLS9fviQdij7y8/N/+ukn7hFMe3v7v/76i81mt/P6qqqqHj16rFu3TmAJgcZevHixfPlyFRUVWVnZadOmRUZGNjc3kw5FE3V1dZcuXXJ2dmYwGL169fr5558/fPhAOhSASEJR+6z6+vqzZ8+amppSFOXi4nLt2jXsF/IJm82+c+fOhAkTJCQkDAwMDh8+XFVV1eYrd+/eraSkVFRUJOCEQDPx8fGTJk2SlJTU09Pz8/MrLi4mnYi2nj9/vmHDBjU1NSUlpRUrVmBHF6CzUNTaUF5efuDAgV69eklLS0+ZMiUpKYl0InHx8uXLlStXKigoqKqqrly58u3bt59+taysTENDY+vWraTigahjs9k3btzgHuW0sLA4d+4c9r4Eo7Ky8vjx44aGhhISEuPGjWOxWKQTAYgMFLX/UVRUtHbtWiUlJVVV1e+++w4nQhFRXFy8c+fO7t27y8rKLlq0KC8vj/v57du3q6qqlpaWko0HoqixsfH06dMGBgYSEhJeXl6xsbGkE4mjxsbGgICAYcOGcU91iIiIIJ0IQASgqP1/JSUlGzduVFRU1NbW9vPzq6ioIJ1I3NXW1h4/flxfX19GRmbZsmUZGRkqKio//vgj6VwgYpqams6fP29gYCAtLb1w4cJnz56RTgSce/fuubu7UxTl4OCA0gzQPhQ1TkVFxZ49e9TU1DQ0NPbs2VNdXU06EfxXQ0PDuXPn+vXrJy0tbWxsnJ2dTToRiIzm5uYbN26YmZlJSEhMmTLl+fPnpBPB/4iPjx83bhxFUba2tvfu3SMdB0BIifXdv6qrq3/66ae+ffv+8ssv3333XW5u7saNG3FbS6EiLS09e/bszMxMPz+/8vJyc3PzTZs2ffz4kXQuEHY3btwYOnTohAkTBg8e/PTp08DAwK++wTLwyciRI0NCQqKioiiKGjVq1Lhx4x4/fkw6FIDQEdOixuFwLly4YGxs/Msvv6xcufLVq1dbtmxRUlIinQvaJisry71ebOfOnX/++eeAAQOOHj3a1NREOhcIo7S0NBcXlwkTJhgaGqalpV28eNHQ0JB0KPgsJyenuLi48PDw4uJiS0tLX1/foqIi0qEAhIg4FrWHDx/a29vPmTPHyckpOzt7x44dqqqqpEPBl8nLy69bty4nJ2f58uVr1641MTEJDQ0lHQqEyIcPH1atWmVhYVFeXh4bGxsUFDR48GDSoaBD3N3dk5KSrl+/fvfu3f79++/YsaOuro50KAChIF5F7d27d4sXL7a2tpaWlk5JSfH39+/RowfpUNA5ioqKO3bsyMjIMDExGTt27OjRozMzM0mHAsIaGxsPHjzYv3//4ODgo0ePPnjwwM7OjnQo6DRPT88nT5788MMPfn5+JiYmQUFBpBMBkCcuRa2xsXH37t2GhoYRERGBgYHR0dFDhw4lHQq+noGBQWBg4O3btwsKCszNzTdv3lxbW0s6FJBx9+7dIUOGbNq0admyZdnZ2YsWLcKzd0WXgoLCxo0bnzx5MmzYsKlTp44ePfrFixekQwGQJBabs4cPH1pZWe3atWvz5s2ZmZmTJk0inQh4w83N7fHjx7/++uvRo0dNTU2jo6NJJwKB+vDhw7x589zc3LhXDPz444+KioqkQwEP9OnT5/Lly/fv3y8uLjY1Nd27dy/OSQWxRfOiVltbu2nTphEjRigrK//zzz/ff/+9nJwc6VDAS1JSUitWrMjKyjIzM3NxcZk9e3ZpaSnpUCAIISEhpqam4eHhZ8+evXr1qp6eHulEwGO2trYPHz7cvXv3rl27LC0tk5OTSScCIIDORS02Nnbo0KHHjh3z8/OLiYkxNjYmnQj4RUdHJzg4+O+//46KihoyZIi/vz/pRMBHBQUFkydP9vLycnZ2zsjImD17NulEwC9SUlKrVq1KTU3V0tKysbFZtWpVVVUV6VAAAkXPolZZWblw4cJRo0YNGTLk6dOnq1atwjkr4sDT0zM9PX3MmDFz586dNGlSSUkJ6UTAe3/++efAgQNTU1MjIyP9/f01NDRIJwK+69+/f0RExJEjR/z9/YcOHcpisUgnAhAcGtaXpKQkc3PzGzduBAcH//XXXzo6OqQTgeCoq6ufPn367t27KSkppqamd+7cIZ0IeObDhw+TJ0/29fX19fVNS0tzcnIinQgEh8FgLFq06MmTJwMHDnR0dNy2bRvOWgMxQauixmaz9+7da29vr6+v//jxY29vb9KJgAxnZ2fuXU+ZTObixYtrampIJ4KuioqKMjMzY7FYt27d2rdvn7y8POlEQICurm5ISMiff/65f/9+Gxub58+fk04EwHf0KWp5eXnOzs47duzYtWvX7du3dXV1SScCklRUVM6fP3/lypWgoCArKys8mkZ0NTY27tixY/To0cOHD8/IyGAymaQTAWGzZ89++PAhm80eOnTowYMHSccB4C+aFLVLly6Zmpp+/PjxwYMHGzduxBlpwDVlypSUlBR1dfWRI0ceOnSIdBzotKysrOHDh+/fv//UqVN//fUXzkgDLmNj44SEhKVLl65du3bKlCllZWWkEwHwi8gXmsbGxhUrVsycOXPu3LkPHjwwMTEhnQiEi76+fkxMzObNm9esWTN9+vTq6mrSiaCjrl27Zm1tLSMj8+jRo3nz5pGOA8JFRkZm3759d+7ciY+Pt7KySk9PJ50IgC9Eu6i9f//e3d397NmzAQEBBw8exD3SoE2SkpLbtm2LjIyMjo4eNmzY06dPSSeCL2Cz2Tt27Jg8efK0adPu37/fv39/0olASLm4uDx+/LhPnz7Dhw8/e/Ys6TgAvCfCRY3FYg0dOvTt27cJCQk+Pj6k44Cwc3R0fPjwoaqqqrW19dWrV0nHgc8qLS0dM2bMnj17jh8/fvz4cRkZGdKJQKhpaWndvn171apV8+bNW7x4cWNjI+lEALwkqkXtxIkTzs7OlpaWDx48GDJkCOk4IBp69eoVExMzbdq0yZMnb9q+K9sBAAAgAElEQVS0ic1mk04ErT169MjKyurp06exsbELFy4kHQdEg5SU1J49ey5dunTx4kVnZ+eCggLSiQB4RvSKWmNj4/z585cuXbp9+/YbN26oqamRTgSiRFZW9sSJE3/88ceBAwcmTJiAu5wLlStXrtjY2BgYGDx69Gj48OGk44CImT59enx8fEFBgZWV1aNHj0jHAeANEStqZWVlHh4ewcHBISEhW7ZsYTAYpBOBSFq8eHF0dHRSUpKjo+O7d+9IxwGKoqjdu3dPnz7922+/DQsLw9Wd8HVMTU2Tk5ONjY0dHBxCQ0NJxwHgAVEqavn5+aNGjXr69Om9e/c8PDxIxwHRNnLkyKSkpNraWux8E9fU1LR06dIffvjh4MGD+/fvl5SUJJ0IRJi6unp4ePiMGTPGjx9/5MgR0nEAukpkilpqaqq1tXVzc3NCQoKFhQXpOEAH+vr6LBbL0NAQO98EVVVVeXl5+fv7X7t2bcWKFaTjAB1ISUkdO3bMz89v5cqVq1atam5uJp0I4OuJRlG7fv26jY3NoEGD4uLi+vTpQzoO0Ie6uvrt27cnTpzo5eX1xx9/kI4jdt69e+fg4PDo0aOYmBhPT0/ScYBWVq1aFRAQcOLEicmTJ+M5ciC6RKCoXbhwYcqUKdOnT79165aKigrpOEA3MjIy586d+/7775ctW7Zp0ybSccTIs2fPRowY0dDQkJCQYGlpSToO0NCUKVMiIyPj4uKYTGZFRQXpOABfg8HhcEhnaM+xY8eWLVv23Xff7dmzh3QWoLnjx48vXboUv2yCkZmZOXr0aF1d3fDwcFw6AHz19OnT0aNHa2trh4eHa2pqko4D0DlCPaP2yy+/fPvtt9u3b8cfThCAxYsXnz9/3s/Pb+nSpTipha9SUlIcHR0NDAyioqLQ0oDfBg4ceP/+/Y8fP+IqbxBFwjujtnfv3s2bN+/fv3/16tWks4AYuXHjho+Pz5QpU86cOSMlJUU6Dg3FxcWNHTvWxsbm6tWr8vLypOOAuHj9+rWrq6uEhERERETv3r1JxwHoKGEsahwOZ/369QcPHjx+/PiCBQtIxwGxExoaOnny5PHjx58/f15aWpp0HFq5d++ep6enk5NTYGAgHs4LAlZUVDR69OiKioq7d+8aGBiQjgPQIcJY1FavXn306FF/f/9p06aRzgJiKjIy0svLa8yYMZcvX8ZtvXjl7t27np6ekyZNOnv2LGYrgYiSkhJ3d/f379/fv39fT0+PdByALxO6ovb999/v3bv3woULaGlAFovFcnd3nzRp0pkzZyQkhPpsTpGQkJDg5ubGZDIDAgLQfYGg8vJyFxeXsrKy2NhYXV1d0nEAvkC4itr+/fvXr19/4sQJPIwZhEFERISnp+eCBQtwf/Muevz4sbOzs4ODQ3BwMObSgLji4uJRo0Y1NTXFxsb26NGDdByA9gjRPMHhw4fXr19/+PBhtDQQEqNHj+beMHPNmjWks4iwjIwMV1fXYcOGBQQEoKWBMNDS0rpz505TU5Obm9uHDx9IxwFoj7AUtbNnz65atWr37t1Lly4lnQXgvyZMmHDmzJnff/99165dpLOIpBcvXri5uRkbG1+7dg1XD4Dw6NmzZ3R0dHl5+ZgxYyorK0nHAfgsoTj0GRQUNG3atB9++GHHjh2kswC04cSJE0uWLDl48CAeRtkp+fn5I0eO1NXVjYiIUFZWJh0HoLVnz545OjoOHjw4LCxMRkaGdByANpAvaiwWy9XVddGiRQcPHiSbBKAde/fu/f777//66y8vLy/SWURDZWWlvb19Y2NjXFycuro66TgAbUtNTXVwcPDy8jp37hyDwSAdB6A1SbKTWK9evXJzc7Ozszt79iwurANhZmdnV1RUtHXrVhcXl169epGOI+zYbLaPj8/Tp08jIyNxYR0IM21tbQsLiy1btjQ3N48aNYp0HIDWSM6olZaW2tjYKCsrx8TEKCoqkooB0EFsNnvixImJiYnx8fG4W2b7li1bdubMmaioqBEjRpDOAvBlp0+f9vX1PXPmzJw5c0hnAfgfxIpaQ0MDk8nMyclJSEjQ1tYmkgGgsyorKx0cHOrr61ksFg7nfc7evXu3bNkSHBw8ceJE0lkAOmrTpk379+8PDQ11dXUlnQXgv8gUNQ6HM3369Nu3b7NYrEGDBgk+AMBXe/v27YgRI4yMjHD2cZu41wb5+fnhKb0gWvCHCYQTmaL2448//uc//wkPD3d2dhb80gG66PHjx/b29rNnz8aNcFt5/Pixra3t/PnzDx06RDoLQKfV1dW5uLi8f/8+OTlZTU2NdBwAiiJS1O7evctkMg8cOLB8+XIBLxqAV65fv+7t7X3q1Kn58+eTziIsPn78aGVl1adPnzt37uDGtiCiioqKLC0tzc3N//77b1ziBsJA0EUtLy9v2LBhbm5uFy9eFORyAXhuw4YNhw4diouLs7S0JJ2FvObmZk9Pz0ePHqWkpOjo6JCOA/D1EhMTHR0dv//++23btpHOAiDYolZXV2dnZ9fY2JiQkKCgoCCw5QLwA5vNHjNmzLNnzx4+fKipqUk6DmE//PDD3r17o6OjbW1tSWcB6KojR46sXLkyJCRkzJgxpLOAuBNoUZs/f/7169eTk5P79+8vsIUC8E9paemwYcMMDAzCw8MlJSVJxyHm5s2bXl5ef/zxx6JFi0hnAeAN/MECISG4onb06NEVK1bcvHnTw8NDMEsEEIAHDx44ODhs2LDhP//5D+ksZLx48cLKysrb2/v06dOkswDwTG1trY2NDUVR8fHx8vLypOOA+BJQUUtPTx8+fPjGjRvxNE+gn2PHji1btiwqKsrR0ZF0FkFrbGzkns8QHx+PZ64Dzbx69crCwmLWrFm4ihkIEkRRq6+vt7a2VlJSiomJEefDQ0BjPj4+CQkJqamp3bp1I51FoLZu3frbb7+lpKQYGxuTzgLAe8HBwT4+Pjdu3Bg3bhzpLCCmBFHUVq9effbs2UePHunr6/N7WQBEfPz40czMbPjw4cHBwaSzCA6LxXJ0dDx8+PCSJUtIZwHgl1mzZt2+fTstLQ0P0QEi+F7UIiIi3N3d/f39Z86cydcFAZAVERHBZDL//PNPMXlWYHl5+dChQwcOHHjr1i0Gg0E6DgC/VFVVWVhY9O/fPzQ0FL/qIHj8LWolJSWmpqa2trZBQUH8WwqAkFi/fv3x48dTUlIMDQ1JZ+G7GTNm3L17Ny0trUePHqSzAPBXfHy8o6PjgQMHli1bRjoLiB3+FrWJEyc+evTo8ePHeBYHiIP6+voRI0bIycndv3+f3rfmv3Tp0syZM8PCwtzd3UlnARCEHTt2/PLLLw8fPsRjQEHA+FjULl++PHPmzOjoaAcHBz4tAkDYZGZmWlhY/Pjjj+vXryedhV/ev38/aNCgb7755vfffyedBUBAmpqa7OzsGAwGi8XCo6VAkPhV1EpLSwcNGjRp0qSjR4/yY3wAobVr1649e/akpaXR9T6Z06ZNS0hIyMjIUFZWJp0FQHAyMjIsLS337du3cuVK0llAjPCrqM2ePfvu3buZmZk46AnipqmpycrKSl1dPTIykn6nHoeGho4dO/bGjRuenp6kswAI2rZt2/bv35+WltavXz/SWUBc8KWoRUVFubq6Xr16dcKECTwfHED4PXjwwMbG5uTJk/PmzSOdhZcqKiqGDBni6Oh4/vx50lkACKivr7ewsOjTp09YWBjpLCAueF/UampqTExMhg0bduXKFd6ODCBCVq9eff78+czMTDpdFLl06dLAwMDMzMzu3buTzgJARmJioq2trb+//4wZM0hnAbHA+6JGy79PAJ1VVVU1ZMgQa2tr2uyxxMXFOTo64u8TwNKlS4OCgp4+faqpqUk6C9Afj4taWlqahYXFiRMn5s+fz8NhAURRWFjYmDFjIiIiXF1dSWfpKjabbWFhoauriyM+ABUVFYMGDRo7duzx48dJZwH643FRc3NzKy0tTU5OxtXLABRFeXp6vnr1KjU1VdRvq3bs2LGVK1emp6cbGRmRzgJA3vnz5+fOnfvgwQNLS0vSWYDmeFnUrl27NmnSpNjYWDs7O16NCSDSXr58OXjw4N9+++3bb78lneXrlZWVGRoazpo1y8/Pj3QWAKHA4XDs7e2lpaWjo6NJZwGa41lRa2hoGDJkyPDhwy9cuMCTAQHoYf369WfOnMnOztbQ0CCd5SutXbv23Llzz58/79atG+ksAMIiKSlp5MiRwcHB3t7epLMAnfGsqO3du3fnzp1ZWVl9+vThyYAA9FBZWWloaDht2rTffvuNdJav8eLFiyFDhhw8eHDx4sWkswAIl1mzZrFYrMzMTDk5OdJZgLZ4U9Tev39vaGi4du3abdu2dX00AJo5ceLEsmXLHj9+PHjwYNJZOm3cuHG5ubmPHz8W9dPsAHguPz/fyMho69atmzZtIp0FaIs3RW3JkiWhoaFZWVkKCgpdHw2AZthstqWlZd++ff/++2/SWTonMjLS1dU1MjLS2dmZdBYAYbRr1659+/a9fPlSS0uLdBagJx4UtdzcXCMjo2PHjtHsJuwAPMS9VUdiYqK1tTXpLJ3g4OCgqKiIW3IAfE51dXX//v1nzZq1b98+0lmAnnhQ1ObOnctisZ4+fYojIwDtcHBwUFBQCA8PJx2ko7iP9RS5cgkgYAcOHNi8efOLFy969uxJOgvQUFeL2vPnzwcNGnT27FncrBygfdzDiDExMQ4ODqSzdIi1tbW2trbIHa4FELC6uroBAwZ4e3sfPHiQdBagoa4WtW+++SYlJSUzM1NSUpJXmQDoysnJic1mx8bGkg7yZdevX/f29v7nn3+GDh1KOguAsDt69OjatWufP3/eu3dv0lmAbrpU1J48eWJqahoQEDBlyhQeZgKgKxaLZWdnJ/zn5nM4HHNz8wEDBgQFBZHOAiACGhsbjYyM3N3d//jjD9JZgG66VNQmT578/PnzR48e4YFRAB3k7u5eVVXFYrFIB2lPYGDg9OnT09LSRPF+IgBEnDp1aunSpc+ePdPX1yedBWjl64taVlbWoEGDcFNmgE5JSEiwsbGJjo4eNWoU6SyfNXTo0IEDB16+fJl0EACR0djYaGxs7O7ufvToUdJZgFa+vqj5+vrGxsY+ffoU02kAneLg4KCqqhoSEkI6SNsiIiLc3NxSUlIsLCxIZwEQJYcOHdq0aVNeXp6mpibpLEAfX9mx3r9/f/HixbVr16KlAXTWunXrbt26lZmZSTpI2/z8/JydndHSADprwYIF8vLymFED3vrKmnXkyBEFBYWZM2fyNg2AOBg/fryxsbFwPvozIyPjzp0769atIx0EQPQoKCgsWbLkyJEjtbW1pLMAfXxNUautrT169Ojy5csVFRV5HgiA9hgMxqpVq86fP19YWEg6S2t+fn6GhoZMJpN0EACRtHLlyoqKigsXLpAOAvTxNUXt7NmzlZWVS5Ys4XkaADExd+5cdXV1YTtEUlRUFBAQ8N133+GUBoCv07179xkzZvj5+TU3N5POAjTR6c0xh8M5ePDg7NmztbW1+REIQBzIysp+++23R48erampIZ3lvw4dOqSqqoqnjAB0xdq1a7Ozs0NDQ0kHAZrodFGLiop69uzZqlWr+JEGQHx8++23lZWVwnNH2cbGxlOnTi1ZskROTo50FgARNmjQIDc3N9z5Fnil00XtxIkTtra2uA0mQBdpaWl5eXmdOnWKdJD/78aNG8XFxfPmzSMdBEDkLVy4MDw8/PXr16SDAB10rqiVlpb+/fffvr6+fEoDIFZ8fX3j4uKE5D4dJ0+eZDKZffv2JR0EQOR5eXl179797NmzpIMAHXSuqJ05c0ZOTg5P9gTgCVdX1/79+58+fZp0EOr169d3797FPhgAT0hLS8+aNevUqVNsNpt0FhB5nStqf/7554wZMxQUFPiUBkCsMBiMuXPnnjt3rr6+nmySkydPamlpjR07lmwMANpYuHDh27dvIyIiSAcBkdeJosZ9YNTChQv5lwZA3CxYsKC8vPz69esEM7DZ7HPnzs2fP19aWppgDAA6MTQ0tLe3P3nyJOkgIPI6UdROnTplZWVlbm7OvzQA4kZHR2fMmDFkLykICwt7+/bt/PnzCWYAoB9fX9+QkJCioiLSQUC0dbSo1dbWXr9+fc6cOXxNAyCG5syZEx0dTfApBZcuXbK3t+/fvz+pAAC0NGnSJDk5ueDgYNJBQLR1tKjdunWrurra29ubr2kAxNCYMWMUFRVJbc1rampCQkKmTp1KZOkANCYvL+/p6XnlyhXSQUC0dbSoBQYGjho1SkdHh69pAMSQnJwcwa15aGhobW3tpEmTiCwdgN58fHxYLFZ+fj7pICDCOlTUampqQkNDfXx8+J0GQDxxt+ZEbo955cqVUaNG9ejRQ/CLBqA9JpOprKwsPA8gAVHUoaJ248aN+vr6iRMn8jsNgHhiMplqampXr14V8HJramrCwsKwDwbAJ7Kysl5eXoGBgaSDgAjrUFELDAx0dnbu3r07v9MAiCcZGZnx48cL/ugndx9swoQJAl4ugPjw8fFJTEzMzc0lHQRE1ZeLWmVlZXh4OJ5GAMBXPj4+SUlJeXl5glxoUFAQ9sEA+Gr06NFqamp//fUX6SAgqr5c1CIjI+vr6728vASQBkBsubq6Kikp3bp1S2BLrK+vv3PnDk5pAOArGRmZcePGhYSEkA4CourLRS0sLMzKykpLS0sAaQDEloyMjIuLS3h4uMCWeP/+/aqqKg8PD4EtEUA8MZlMFotVXl5OOgiIpC8Xtdu3bzOZTAFEARBzTCYzKipKYM/9DA8PHzRoUN++fQWzOACxxWQyORxOVFQU6SAgkr5Q1J48eZKXl4d9bgABGDNmTHV19f379wWzuLCwMOyDAQhAt27dhg0bJsj5cqCTLxS1sLAwTU3NYcOGCSYNgDjr3bv3oEGDBLM1f/v2bWZmJvbBAASDyWSGhoaSTgEi6QtFLTw83M3NTVJSUjBpAMQck8kUTFELDQ1VVFS0t7cXwLIAwMPD4+3bt0+ePCEdBERPe0Wturo6Li4O+9wAAuPh4cE934DfCwoLC3N2dpaVleX3ggCAoigrK6vu3bvj6Cd8hfaKWlxcXH19/ejRowWWBkDM2dvby8vLR0dH83Upzc3NMTExWLUBBEZCQsLJySkyMpJ0EBA9XyhqAwYMwEMAAQRGVlbWysqKxWLxdSlPnjz5+PEjjnsCCJKdnV18fHxzczPpICBi2itqLBbL1tZWYFEAgKIoW1tbfhc1FoulrKxsYmLC16UAwKfs7OzKy8txmhp01meLWlNTU3JyMooagIDZ2tpmZWUVFxfzbxEsFmvEiBG4SAhAkExMTFRVVfm9Gwb089mi9vjx46qqKhQ1AAGzsbFhMBiJiYn8WwQmywEET1JScvjw4Shq0FmfLWosFktdXd3IyEiQaQBAXV194MCB/NuaFxYW5uTkoKgBCJ4ATmwA+mmvqNna2kpIfPkZUwDAW3zdmsfFxXH37Pk0PgB8jp2dXU5Oztu3b0kHAVHy2R6WlJRkY2MjyCgAwGVjY/Pw4cPGxkZ+DJ6YmGhiYqKiosKPwQGgHdbW1pKSkklJSaSDgChpu6h9+PDh9evX5ubmAk4DABRFmZub19XVPXv2jB+Dp6amWlhY8GNkAGifkpLSgAED0tLSSAcBUdJ2UeP+Gpmamgo2DABQFEUNHDhQRkaGT1vztLQ03JgDgBQTExMUNeiUzxY1DQ0NXV1dAacBAIqipKWljYyM0tPTeT5yYWHh+/fvsQ8GQAqKGnRW20UtPT0dm3IAgkxMTPhR1Lh/ITCjBkCKqalpTk5ORUUF6SAgMj47o4aiBkAQn3a709LSdHR0tLS0eD4yAHSEiYkJh8PB8wmg49ooas3NzU+ePME+NwBBpqamb968+fDhA2+HxWQ5AFn6+voqKir8mC8HumqjqL148aK6uhpbcwCCuHtKGRkZvB0Wk+UAZDEYjMGDB6OoQce1UdSys7MpijI2NhZ4GAD4/3r37q2srMzbO3RwOJznz5/jcSMAZA0cOJBPN98BWmqjqOXk5GhqaiorKws+DQC06Nu3b25uLg8HfP/+fXV1tb6+Pg/HBIDO0tPTy8nJIZ0CREYbRS0vL09PT0/gSQDgf+jr6/O2qHFHQ1EDIEtfX//169fNzc2kg4BoaHtGDZtyAOL09fV5u9udm5srKSnZq1cvHo4JAJ2lp6fX0NDw7t070kFANLRR1HJzczGjBkCcnp4eb2fUcnJyevXqJS0tzcMxAaCzuFMhOPoJHYSiBiCk9PX1CwsLa2pqeDVgXl4eJssBiNPV1ZWTk+PtbhjQWOuiVlFR8eHDBxQ1AOL09PQ4HM7r1695NWBOTg5WbQDiGAxGnz59MKMGHdS6qOXl5VEUha05AHHc2S8e7nbn5eX17duXV6MBwFfj+YkNQGOti1pRURFFUdra2iTCAMB/qaqqysvLv3//nlcDFhUVYdUGEAba2to8XLWB3loXtZKSEklJSTU1NSJpAOBT3bp1Kykp4clQbDa7vLxcU1OTJ6MBQFdoaGiUlpaSTgGioXVRKy0t7datm4RE2w9rBwBB0tTU5NXW/MOHD83NzRoaGjwZDQC6QkNDg1f7YEB7bRQ1bMoBhAQPd7u542BGDUAY8HAfDGivjaKGTTmAkODh1pw7DnbDAISBhoZGWVlZU1MT6SAgAjCjBiC8eDijxj3OgrUbQBhoampyOJyPHz+SDgIioI2LCTCjJqJ+/fVXBoPBYDDwjKBOEebvm6amJq9OZCktLVVWVpaVleXJaCBgwvxbKsyE9vvG3WXC0U/oiNZFraysDJd8iqj169dzOBwzM7P2X1ZVVTVgwIBx48YJJpXgdfYNdvD7RoS6ujqv9rmxaos0rN1ctFm7u3XrRlEUZtSgI1oXtbq6Onl5eSJRQDA4HE5zc3NzczPpIDygpKRkZ2fX6pN0eoOysrL19fU8GQqrtjig0y8/vddu7tw2r9ZuoDepVh83NDTgmc30pqys/PLlS9Ip+IhOb5CHRa2hoUFGRoYnQ4HQotMvf5to8wZR1KDjWs+o1dfX4ywWACEhIyPDq015fX09ihqAkOCujChq0BGti5rw7HZfv36d8X/y8vKmTp2qrKysoaExa9asjx8/5ubmenp6Kisr6+jo+Pr6VlZWfvr/FhcXr1y5Uk9PT0ZGRktLy9vb+/Hjxy1fbWpqunLlyujRo7W1teXl5U1MTA4ePNgyl/7pcnNzc6dOnaqmpqahoTFu3LhO7cmVlpauXbu2f//+srKyvXr1cnV1PXv2bG1t7b9fICMjo66u7uHhER0d3fX3zpWVlTV27FhVVVUFBQUnJycWi/Xvkevq6jr1ftv/rrby6Tm8ycnJLi4uysrKrcJ06mfx7NkzHx8fDQ0N7oebNm1iMBjV1dUsFov7GSkpqTbf4BeXIsxkZWUbGhp4MlRDQ4Pw7INh7cbaLeZrt4yMDIPBQFGDDuH8Ly0trcOHD3OEhpeXF0VR3t7eDx8+rKqq8vf3pyjKw8PDy8vr0aNHlZWVx44doyhqzZo1Lf/Lu3fv+vbt26NHj1u3blVWVmZkZDg6OsrJycXHx3NfEBISQlHUzz///OHDh+Li4t9//11CQoJ7zmmr5Xp5ecXHx1dVVUVERMjLy1tZWXUwdkFBgb6+vra2dkhISEVFRWFh4a5duyiK+u233z59QY8ePUJCQsrLy589e+bt7c1gME6ePNmV987hcMzMzFRVVZ2cnOLi4iorK5OTk01NTWVkZO7du9dq5Nra2o6/3y9+V9tkZmamqKg4cuRI7rD/DtPxn4Wjo2N0dHR1dXViYqKkpGRxcTGHw1FUVLS1tf33clu9wY4sxczMrGfPnu28FyKuX79OUVRDQ0PXh1q2bJmjo2PXx+EhrN1Yu8V57ZaRkblw4QLpFCACWhc1VVXVEydOEInSJu46eevWrZbPDB48mKKomJiYls/o6+sbGRm1fDhnzhyKoi5evNjymYKCAllZWUtLS+6HISEho0aN+nQpM2fOlJaWLi8vb7XckJCQls9MnjyZoijuFuSL5s6dS1HUlStXPv0kk8ls2ZRzX3D58uWWr9bV1enq6srLyxcWFn71e+f83/VNCQkJLZ9JS0ujKMrMzKzVu/v3pryd9/vF72qbuGEePXr0uTAd/1mEhob+e/yOb8q/uBTh3JSHhoZSFFVZWdn1oXx9fUePHt31cXgIazfWbnFeu5WVlU+fPk06BYgA0ThHbdiwYS3/1tXVbfWZnj17vnv3ruXD69evS0hIfHr9tra29uDBg1NSUt6+fUtR1Lhx41oOQ3CZmZk1NjY+efKk1XKtrKxa/t27d2+Koj5dUDuuXbtGUZSHh8ennwwLC1u9evWnLxg7dmzLV2VlZV1cXGpra2/fvv3V751LTk7O2tq65UMTExNdXd3U1NSCgoL2Y7fzftv/rmZkZDA+sXz58paXKSoqDh069HNhOv6zGD58ePvh29HxpQgbHp5xLLTnqGHt7uB758La3Yrort08PAMV6K31VZ/Nzc2SkpJEorRDRUWl5d8SEhKSkpIKCgotn5GUlGw5I6G+vr68vJyiKFVV1X+P8/z58169epWXl/v5+V27du3t27dlZWUtX62pqWn1+k8H4f6R68ipD9wMcnJyysrKnXpBjx49KIoqLCz89JMdf+8tuKd6fPqZ7t27v3v37v379zo6Ou0k/9z7/eJ31cnJicPhtDnmv+/d9WmYjv8sFBUV20nevo4vRdhwV0aePGdGOFdtCmv3/8Ha/XVEd+2WkpLCI6SgI1rPqElLS/Pq5GUiZGVl1dTUpKSkGhsb/z1/6OTkRFGUp6fnrl27fH19s7Ozm5ubORzOb7/9RlHU5zZGX5FBVVW1rq6uzROB23lBUVERRVHa2tpdDMDd7H7q/fv3FEV179796wbsyHf1c1g1/B0AACAASURBVEpLS1t9Yz8N08WfRau/WJ/D7584/3BXRp5McktLSzc2NnZ9HIKwdlNYu/9FdNdu4Tx+BUKodVHj4VVmpHh7ezc1NX168RFFUXv37u3Tp09TUxObzWaxWNra2itXrtTS0uJuCz69XIsnJk6cSFEU9wSjFubm5mvWrPn0Bbdu3Wr5an19fWRkpLy8vLu7exeXXlVVlZqa2vJhenr6u3fvzMzM2t/hbl/739V2/se6urrk5OQ2w3T9Z6GgoNDy62pkZHTixIl/v0YwP3E+4R4Z4cnWnAarNoW1G2v3/xLptVuoLsQGYda6qMnIyIj61nz37t39+/efP39+WFhYeXn5hw8fjh8//p///OfXX3+VkpKSlJQcNWpUYWHhvn37SkpKamtro6OjuRdY8TaDvr7+mjVruFdRvX37dunSpQUFBS2bcu4LVq9effPmzcrKyuzs7G+++aagoODgwYPcQyRdoaiouHz58qSkpOrq6ocPH86cOVNGRubgwYNdfEftfFfb+R9VVVW3bNmSkJDw7zBd/1lYWFhkZ2e/efMmISHh1atX9vb2/36NYH7ifMJdGXlybhk9TojB2o21+1MivXYL7WmjIHRaTXT37dt33759HboOgc8SEhI+zfn9999/uutGUdTu3bvv37//6We2b9/O/X+5NzHq16+ftLS0lpaWm5tbREREy8jFxcWLFy/u3bu3tLR0jx495s6du2nTJu4IlpaW/14u53+n0MeOHduR/CUlJatXr9bX15eWltbR0Zk2bVp2dvbnXqCqquru7h4ZGdmV975v3z7uv3v27PngwQMnJyclJSV5eXlHR8e4uDjuyNzTnFvMmDGj4++3/e9qm7gXW2VmZrq7uysrK7cK09mfBfWvX9esrCx7e3tFRcXevXsfOXKkzTf4xaW0fN8+/Q4IiUuXLklKSvJkqO+++2748OE8GarrsHZ39r1j7W7zDX5xKUK7dnOnKv/66y/SQUAEMDj/u94aGhrOnTt3y5YtFECXDR06tKSkhHs5HnyFc+fOLV26tLq6uutDbd269datW48ePer6UAAU1u6uqa2tVVBQuHnz5qdXBwO0iYaHPgFog4enG9Pj0CcAPfDw9FOgPRpeTABAGzw83Rj7YADCg4ennwLttS5qioqKVVVVRKKIEMbn7dixg3Q6ocB9GmBqamp+fj6Dwdi6dSvpRCKpqqrq0xtrdYWSkhJW7Y7A2v1FWLu7jrsyduUGciA+Wl/Ro6mpWVJSQiSKCOEI/R16iFu/fv369etJpxB5JSUlmpqaPBlKQ0ODe9erDt6eSmxh7f4irN1dx/07y6u1G+it9Ywad2tOJAoAtFJaWsqrTbmmpmZTU9O/b5cKAILHLWoaGhqkg4AIaKOoYUYNQEiUlJTwalPOHQe7YQDCoLS0VFZWVklJiXQQEAGYUQMQXqWlpShqAPTDw1UbaA9FDUB48byoYb4cQBjw8KwGoL3WRU1TU7Oqqqquro5IGgD4FA8vJlBSUpKTk8NuGIAw4OFZDUB7bcyoUTg+AiAE2Gx2WVlZt27deDVgt27dMKMGIAxKS0t5uGoDvbUuarq6uhRF4akgAMS9e/euubm5Z8+evBqwZ8+e+fn5vBoNAL7amzdvevXqRToFiIbWRa13795SUlK5ubkkwgDAf+Xk5FAUpa+vz6sB9fT0uGMCAFm5ubl6enqkU4BoaF3UpKSkevbsia05AHG5ublycnLa2tq8GlBPTw/7YADE1dbWFhUV8XAfDOitdVGjKEpfXx9bcwDicnJy+vbtKyHRxkr6dTCjBiAMcnNzORwOZtSgg9r4G4DdbgBhwPODI/r6+h8/fsTDCQDI4u4voahBB6GoAQipnJwc3h4c4f5hwNoNQFZubm63bt1UVVVJBwHR0HZRy8vLa25uFnwaAGiRk5PD231uPT09BoOBogZAFs9XbaC3Nopav3796urqcBk/AEH19fX5+fm8nVGTl5fX1tZ++fIlD8cEgM569epVv379SKcAkdFGURsyZAhFUenp6QIPAwD/X2ZmJpvNNjEx4e2wQ4YMwaoNQFZaWhr37yxAR7RR1NTV1Xv16oWtOQBBaWlpsrKyAwYM4O2wJiYmaWlpvB0TADquurr61atXPN8HAxpr+8p/U1NTFDUAgtLT0wcNGiQlJcXbYU1MTJ48edLU1MTbYQGgg548edLc3Gxqako6CIiMzxY17HYDEJSens6PTbmpqWl9ff3z5895PjIAdERaWpqioiLOUYOOa7uomZiYZGVlNTQ0CDgNAHClpaXx4+DI4MGDpaSksBsGQEp6evqQIUN4eCNroL3Pzqg1NjZmZWUJOA0AUBRVUlJSWFjIjxk1WVlZQ0NDnNgAQEp6ejpOUINOabuoGRkZycrKYrcbgAhukeLTdWE4sQGAoIyMDFzyCZ3SdlGTlpY2NTV98OCBgNMAAEVRDx480NXV1dHR4cfgFhYWycnJ/BgZANqXk5NTXFxsaWlJOgiIks8eJrexsWGxWIKMAgBccXFxdnZ2fBrc1ta2sLAQt70FELy4uDhZWdlhw4aRDgKi5LNFzdbWNjU1tbKyUpBpAIDD4SQkJNja2vJpfEtLSzk5OeyGAQgei8UaNmyYnJwc6SAgStoramw2G0c/AQTs6dOnpaWl/CtqsrKylpaWKGoAghcXF8e/VRvo6rNFTVdXV09PD1tzAAFjsViKiopmZmb8W4StrS1WbQABKysre/r0KYoadFZ7t3Kxs7PD1hxAwFgs1ogRI3j+TIJP2draZmZmfvjwgX+LAIBWWCwWh8MZOXIk6SAgYtorara2tomJiWw2W2BpAEAAB0e44ycmJvJ1KQDwKRaLZWRkpKWlRToIiJgvzKhVVFQ8evRIYGkAxFx+fv7Lly/5d8knl4aGhrGxcUxMDF+XAgCfio2N5feqDbTUXlEbPHhwz549w8PDBZYGQMyFh4fLy8sLYGvu7u6OVRtAYD5+/JiUlOTu7k46CIie9ooag8HA1hxAkMLCwpycnOTl5fm9ICaTmZaW9ubNG34vCAAoioqIiOBwOM7OzqSDgOj5wnNhPTw8EhMTcdIxgAA0NTVFRkYymUwBLMvR0VFBQeHOnTsCWBYAhIeH29jYdOvWjXQQED1fKGpubm4SEhJ3794VTBoAcZaQkFBWVubh4SGAZcnJyY0aNSosLEwAywIQcxwO5/bt24LZBwP6+UJRU1FRsba2xtYcQADCwsL09fUNDAwEszgmkxkREdHY2CiYxQGIrdTU1Hfv3qGowdf5QlGjKMrDwyM8PJzD4QggDYA4CwsLGzt2rMAWN3bs2IqKioSEBIEtEUA8hYWFaWtrm5ubkw4CIqlDRa2wsDAlJUUAaQDEVn5+fmpqqiD3ufv16zdgwIBbt24JbIkA4ik0NNTNzY3BYJAOAiLpy0XN3Ny8f//+QUFBAkgDILaCgoKUlZVdXFwEuVBvb++goCDMlwPwz7t37+Lj4ydNmkQ6CIiqLxc1iqImT54cEBCArTkA/wQGBk6YMEFOTk6QC/Xx8cnJyUlOThbkQgHEypUrV5SUlNzc3EgHAVHVoaI2derU169fY2sOwCdv3rxJTEycOnWqgJdrYWExYMCAwMBAAS8XQHwEBgZOnDhRwPtgQCcdKmrm5ubYmgPwz5UrV9TU1FxdXQW/aB8fn8DAQMyXA/DDmzdvkpKSBL8PBnTSoaJGYWsOwE+BgYHe3t4yMjKCX7SPjw93Pk/wiwagvYCAADU1NQGfewo004mi9ubNG1zJD8BzOTk5Dx8+JLXPbWpqOnDgQMyXA/BDYGDgpEmTiOyDAW10tKhxt+YBAQF8TQMghgICAjQ0NJycnEgFmDJlSmBgIJvNJhUAgJZevHiRkpIyZcoU0kFAtHW0qFEUNXv27PPnz9fU1PAvDYC44XA4Z86cmTFjhpSUFKkMc+bMKSwsxANIAHjr9OnTPXv2xHFP6KJOFLV58+ZVV1dfu3aNf2kAxE10dPTz58/nzZtHMEO/fv1GjRp18uRJghkAaKapqcnf33/+/PmSkpKks4Bo60RR69Gjx7hx47A1B+ChU6dOjRgxwszMjGwMX1/f0NDQ/Px8sjEAaOPmzZuFhYVk98GAHjpR1CiK8vX1jYmJefr0KZ/SAIiV0tLSa9eu+fr6kg5CeXt7q6urnz17lnQQAJo4efLk6NGj9fT0SAcBkde5oubu7t63b98zZ87wKQ2AWDl//ryUlJQwnGssIyMza9as06dPNzc3k84CIPLevn17+/bthQsXkg4CdNC5oiYhITF//vwzZ87U19fzKRCA+Dh16tQ333yjrKxMOghFUdSiRYtyc3MjIyNJBwEQeadPn1ZXV/f09CQdBOigc0WNoqj58+d//PgRlxQAdFFcXNyTJ0+EZ5/byMjI1tb22LFjpIMAiLampqY///xz7ty5srKypLMAHTC+4mEDeJAzQNdNmDChoKAgKSmJdJD/CgoKmjZt2rNnzwwMDEhnARBVFy9enDNnTnZ2dr9+/UhnATr4mqKWnJw8fPjwe/fuOTo68iMTAO1lZ2cPHDgwKCjI29ubdJb/YrPZRkZGTCbz8OHDpLMAiCpLS0tDQ8PLly+TDgI08TVFjaIoe3t7dXX1Gzdu8DwQgDhYsmRJREREdna2sN1j6ffff9+8eXNeXp6mpibpLACiJzIy0tXVNTEx0dramnQWoIlOn6PGtW7dups3b+I+HQBfobi42N/ff926dcLW0iiKWrhwoby8PM5UA/g6fn5+o0aNQksDHvrKoubl5WVkZHTgwAHepgEQB0eOHJGXl58zZw7pIG1QUFBYtGjRoUOH6urqSGcBEDEZGRnh4eHr1q0jHQRo5SuLGoPBWLly5blz5woLC3kbCIDeampqjh49unz5ckVFRdJZ2rZq1aqKiooLFy6QDgIgYvz8/AwNDceMGUM6CNDKVxY1iqLmzJmjoqKCSTWATjl58mRVVdXSpUtJB/msHj16TJ8+/ZdffmlqaiKdBUBk5OXlXbp06bvvvpOQ+Po/rAD/9vW/TwoKChs2bDh8+HBRUREPAwHQWG1t7S+//LJ06dIePXqQztKebdu25eXlYVINoON27dqlq6s7a9Ys0kGAbrpU/JcvX66mpvbLL7/wKg0AvR0+fLi8vHzDhg2kg3yBnp7e7Nmzd+zY0dDQQDoLgAh4+fKlv7//jh07ZGRkSGcBuulSUZOTk9uwYcPRo0fz8/N5FQiArqqqqn799deVK1d2796ddJYv++GHHwoLC/GYdoCO2Llzp56e3owZM0gHARrq6qH0xYsXa2lp7dmzhydpAGjs4MGDdXV169evJx2kQ/r06bNgwYKdO3fW1taSzgIg1LKzsy9fvrxz504pKSnSWYCGulrUZGVlt2zZcuLEidzcXF7kAaCn8vLy/fv3r1mzplu3bqSzdNTWrVs/fvx4+vRp0kEAhNq2bduMjIymTp1KOgjQEw8uTpk/f37Pnj1/+umnrg8FQFd+fn4cDmfNmjWkg3SCjo7OkiVLfv755+rqatJZAIRUWlpaUFDQzp07cbEn8MlXPkKqlfPnz8+bNy8lJcXMzKzrowHQzJs3b4yNjbdv3y78lxG08v79e0NDw1WrVu3cuZN0FgBh5OrqWlFRkZSUxGAwSGcBeuJNUeNwOPb29tLS0tHR0V0fDYBmpk+f/uDBg8zMTFlZWdJZOu3XX3/dtm1bZmamnp4e6SwAwuXatWuTJk2KjY21s7MjnQVoizdFjaKoxMREGxub4OBgb29vngwIQA8JCQm2trbXrl3z8vIineVrNDQ0mJiYmJubBwQEkM4CIEQaGhqGDBliZWV18eJF0lmAznhW1CiKmjVrFovFyszMlJOT49WYACKtubl55MiRSkpKkZGRpLN8vRs3bnh5ecXExDg4OJDOAiAs9u7du3PnzqdPn/bt25d0FqAzXha1/Px8IyOj77//fvPmzbwaE0CknTlzxtfX99GjRyYmJqSzdAmTyXz//v3Dhw9xxjQARVFFRUVGRkZr167dtm0b6SxAc7wsahRF7dq1a9++fc+ePdPR0eHhsACiqLKy0sjIaMKECUePHiWdpauePHkydOjQ48ePz58/n3QWAPIWLFgQERGRlZWloKBAOgvQHI+LWm1t7aBBg6ytrXE6C8CaNWv8/f2fPXumqalJOgsPrFix4sqVK5mZmfR4OwBfjcViOTg4XLx4cdq0aaSzAP3xuKhRFBUeHu7h4XH9+nURPXUagCeSk5NHjhx54sQJ2kxBVVRUDB482MnJyd/fn3QWAGIaGhrMzc379OkTFhZGOguIBd4XNYqiZs6cGR0d/eTJEzU1NZ4PDiD8mpqahg8frqqqGhUVRae7K926dWvcuHEhISHjxo0jnQWAjO3bt//666/p6en9+vUjnQXEAl/OCz548GBTU9PWrVv5MTiA8NuzZ09WVtbJkyfp1NIoiho7duyUKVOWL19eVVVFOgsAAVlZWXv37v3pp5/Q0kBg+DKjRlHUhQsX5syZExMTg9sAgrjJzs42MzPbuXOnyD2HoCMKCwsHDx48Z86c/fv3k84CIFDNzc0ODg4NDQ0JCQmSkpKk44C44FdRoyhq/Pjx2dnZjx8//n/s3Xk8VPv/B/DPbLZskQoR7bbsEkpJpW5pdyuhfb3SrlXaadfutpIWWqWiuhIZUmSLFkSLJSE7Y7bfH+f79fPVctHMfGZ5P/+4j9uZM5/zch6fmXmfz1k+8Fg1IDm4XK6jo2N5efmLFy9oNBruOHxx7ty5BQsWxMfHDx48GHcWAATn6NGjq1atev78uampKe4sQILwsVD78OGDoaHhsmXL/Pz8+LQJAITNkSNHVq9enZSUZGZmhjsLv3C53JEjRxYXFycnJ8vKyuKOA4Ag5Obmmpqaenl57dy5E3cWIFn4WKghhM6cObNo0aJHjx45ODjwbysACImsrCxLS8v169eL/TMwP3/+bGxsPHPmzKNHj+LOAgDfsVisIUOGMBiMZ8+eSUlJ4Y4DJAt/CzWE0J9//kmn0zMyMlRUVPi6IQDwYjAYgwYNkpeXj42NlYTrV27cuDFt2rTw8PDx48fjzgIAf23evPnQoUMpKSkDBgzAnQVIHL4Xat++fTM2Nra0tLxx4wZfNwQAXl5eXkFBQampqbq6urizCIi7u3tUVFRGRkb37t1xZwGAX+Lj44cNG3b8+PFFixbhzgIkEd8LNYRQbGysg4PD2bNnZ8+eze9tAYDFw4cPnZycLl686OrqijuL4NTW1pqZmfXq1SsyMlLMHkQCAKGqqsrY2FhfX//evXvQyQEWgijUEEJr1qw5derUy5cv+/XrJ4DNASBIX79+NTY2trOzCwsLw51F0BISEuzt7Q8dOvTXX3/hzgIA782cOTM6OjojI6Nbt264swAJJaBCjcFgWFtbUyiU+Ph4eFoHECdsNnvs2LHEk2iUlJRwx8HA19fX398/Pj7e3NwcdxYAeOnvv/9esmRJZGTkqFGjcGcBkktAhRpCqKCgwMLCYuzYsTBRIBAnGzduPHToUFxcnKWlJe4seHA4nD/++CM7Ozs5OVlNTQ13HAB44/nz50OHDvX29t62bRvuLECiCa5QQwjdvXt3woQJJ06cgEsygXi4c+fOxIkTT58+PW/ePNxZcKqoqLCwsOjVq9eDBw8k4Y5XIPbKy8stLCz69u0bGRkJXRrgxZe5Pn9m3LhxmzZt8vT0jI+PF+R2AeCHnJwcd3f3BQsWSHiVhhBSUVG5efNmQkLCli1bcGcB4Hex2eyZM2dyudzLly9DlQawE+iIGkKIw+GMHz8+NTU1JSVFXV1dkJsGgIdqa2utra2lpKTodDo8nZ9w8eJFDw+PsLCwqVOn4s4CQMetXbv22LFjcNklEBKCLtQQQhUVFZaWltra2o8ePaJSqQLeOgC/j8vlTp8+PSYmJjk5WVtbG3ccIbJo0aKrV68mJSXBc0GBiLp+/bqLi8v58+c9PDxwZwEAISyFGkIoLS3Nzs5uxowZp0+fFvzWAfhNW7du3b17d1RU1IgRI3BnES4MBmPYsGFfv35NTEyEGwuAyHnx4sWwYcPmzJlz7Ngx3FkA+A88hRpC6N69exMmTNi5c+f69euxBACgY65cueLq6nrs2LGlS5fiziKMysrKBg8e3Llz5ydPnsjJyeGOA0BbFRQUWFtbm5qaRkREwNkeIDywFWoIocDAwCVLlgQHB8+aNQtXBgDaJTY2dvTo0atWrdq9ezfuLMLrzZs3NjY2I0aMCA0NJZMFescSAB1TXV1tZ2fH5XLj4+Ml84GIQGjhLNQQQitWrDh58mRUVNTw4cMxxgCgLV6/fm1ra+vo6Hj16lWoP34tLi5u1KhRK1as8PPzw50FgH/BZDLHjh2bnZ397NkzLS0t3HEA+B+YCzUOhzN16tS4uLiEhASYXQoIs69fv9rY2HTv3v3Ro0cwu0ZbXL16debMmXCOGAg5Lpc7Z86cmzdvxsXFmZiY4I4DQGuYCzWEUH19/fDhwysqKuLi4uCBHUA4VVdXjxgxoqqqKjExUVVVFXcckbFt27adO3fevHlz/PjxuLMA8GObN2/29/ePiIhwcnLCnQWAH8BfqCGESktLhw4dSqPRYmJiunTpgjsOAP+jvr7eyckpLy8vLi6ud+/euOOIEi6Xu3jx4uDg4IiICEdHR9xxAGjN399/w4YN586dmz17Nu4sAPyYUBRqCKHCwsIhQ4YoKSk9fvy4c+fOuOMA8B9NTU2TJk16/vz5kydPDAwMcMcRPRwOx93d/datW5GRkUOHDsUdB4D/d+LEiWXLlu3fv3/16tW4swDwU8JSqCGEPn78OGTIEA0NjUePHsnLy+OOAwBis9kzZsx48OBBdHS0hYUF7jiiipiQJyoq6p9//pHYqeuBsAkODp4zZ87OnTs3bNiAOwsAvyJEhRpC6N27d/b29vr6+vfu3YPrtQFeHA7Hzc3t9u3bMBT0+5qamiZPnkyn0x8/fmxqaoo7DpB0t27dcnFx8fb23rlzJ+4sAPwL4SrUEEJpaWnDhw+3s7O7fv26tLQ07jhAQnE4nIULF166dAkuruKV+vr6sWPHvn37NiYmBiaYAhhFRERMnTp18eLFAQEBuLMA8O+E7llQJiYmkZGRT58+dXZ2rq+vxx0HSCIWi+Xh4RESEnLt2jWo0nhFTk4uIiJCV1fX3t4+PT0ddxwgocLCwqZMmeLh4XH48GHcWQBoE6Er1BBC1tbWjx8/Tk1NHT16dHV1Ne44QLI0NTVNnz795s2b4eHh48aNwx1HrCgoKDx69MjY2HjYsGGJiYm44wCJExIS4urqumDBglOnTpFIJNxxAGgTYSzUEEJmZmaxsbH5+fkODg5lZWW44wBJUV9fP2HChAcPHkRERIwePRp3HDHUqVOniIiIYcOGjRw5Mjo6GnccIEFOnTrl4eGxevXq48ePw8wiQIQIb2fV09N7+vTpt2/f7O3ti4qKcMcB4q+urs7Z2TkpKemff/5xcHDAHUdsSUtLh4aGjh071tnZOSoqCnccIBH8/f2XLFmydetWmNMMiByhu5mglY8fPzo6OpLJ5IcPH2pra+OOA8RWWVnZH3/88fHjx0ePHhkaGuKOI/7YbPbcuXNDQ0MvXbo0ZcoU3HGA2OJyuZs2bfLz8zt69OiyZctwxwGg3YR3RI2gra0dGxsrLS1tbW2dkpKCOw4QTzk5OYMHD/769WtcXBxUaYJBoVDOnz+/YMECFxeXQ4cO4Y4DxBODwXB3d9+/f//58+ehSgMiStgLNYSQuro6nU43MzOzt7e/c+cO7jhA3Dx79szW1rZz586JiYl9+/bFHUeCkMnko0ePHjx4cM2aNQsXLmSxWLgTAbHy7ds3Jyen27dv375928PDA3ccADpIBAo1hJC8vHx4eLi7u/vkyZOPHDmCOw4QH9evX3dwcLC1tX3y5Em3bt1wx5FEXl5e169fv3Tp0rhx4+Aub8Ar+fn5tra27969i4uLGzt2LO44AHScaBRqCCEKhXLixIkDBw6sXLnSy8uLzWbjTgREXkBAwJ9//rlgwYIbN27IycnhjiO5Jk2aRDyRZ8iQIZ8+fcIdB4i8pKSkwYMH02i0Z8+ewUwYQNSJTKFG8PLyunTpUmBg4OTJk+HgG3RYY2Pj3LlzV69effjw4YCAALhXH7tBgwYlJCQwGAxbW1u4GhX8jitXrgwfPtzCwoJOp2tpaeGOA8DvEr3fp+nTp0dHRz9//tzS0jIrKwt3HCB6Pn78OGTIkJs3b96+fdvT0xN3HPAfvXv3TkhI6Nevn52d3fnz53HHAaKHyWSuWLFi5syZCxcuDA8Pl5eXx50IAB4QvUINIWRra5uenq6pqWltbR0aGoo7DhAlsbGxVlZWtbW1iYmJMPGAsFFRUXnw4IG3t/f8+fPd3d0bGhpwJwIi4+vXr05OToGBgefPnz98+DCFQsGdCADeEMlCDSHUtWvXhw8fLlu2bPr06YsWLWIymbgTAWHH5XIDAgIcHR2HDx+enJysp6eHOxH4AQqF4uvre/v27YiICDs7u4KCAtyJgAig0+kmJiYfP358/vz57NmzcccBgJdEtVBDCFGpVD8/v+Dg4JCQkFGjRpWWluJOBIRXdXX1lClT1qxZs2/fvitXrnTq1Al3IvAr48ePT0xMbGhoGDRoUExMDO44QKgdO3bMwcHB3Nz8xYsXRkZGuOMAwGMiXKgR3Nzc6HT6x48fjY2NYToa8EOJiYkmJiaJiYnR0dErVqzAHQe0yYABA5KSkoYOHTpy5MjNmzfDqDn4Xnl5+eTJk728vDZv3hweHq6srIw7EQC8J/KFGkLIxMQkNTXV2dl57NixixYtqq+vx50ICAs2m+3v729vb9+nT5+UlJShQ4fiTgTaQUFB4dq1a+fOnTt8+DDxTCzciYAQefz4sbGxcXJycnR09JYtW0gkEu5EAPCFUdQjXgAAIABJREFUOBRqCCFFRcXAwMDQ0NBr165ZWlqmpaXhTgTw+/Dhw/Dhw319fXfs2BEVFaWhoYE7EegId3f35ORkNpttYmISEBCAOw7Aj8lk+vr6jhw50traOi0tbdiwYbgTAcBHYlKoEaZNm5aWltalS5fBgwf7+/tzOBzciQA2165dMzU1raioePbsmbe3NzwpTaQRp0HXrVu3atWqKVOmlJeX404EsHnz5o21tfXBgwdPnjx5/fp1FRUV3IkA4C9x+/XS1tZ+/Pjxxo0bN2/ePGrUqLy8PNyJgKAVFxdPnTr1zz//9PDwSE5ONjY2xp0I8ACVSvX19X348GFSUtLAgQPDw8NxJwKCxmKx9u3bZ25uTqPRUlNTFy5ciDsRAIIgboUaQohCoWzZsiUhIaG0tHTgwIH79u2DyZ4lBJfLPXPmjL6+fmpq6qNHjw4dOiQjI4M7FOClESNGZGRkODo6Tpw4cdq0aSUlJbgTAQFJTU0dNGiQj4/Ppk2b4uPje/fujTsRAAIihoUawdLS8uXLlz4+Pj4+PhYWFi9evMCdCPDRu3fv8vLyRo0atWTJEnd39/T09BEjRuAOBfhCRUUlKCjoyZMnGRkZenp6AQEBcJGDeGtoaPD19bW2tpaVlX358uXGjRupVCruUAAIjtgWagghKpXq7e2dmZmpqqpqY2Pj5eVVV1eHOxTgPRaLtXjxYj09vdLSUjqdHhAQAFPHiD17e/u0tLRFixatXr162LBhb968wZ0I8EVcXJypqenhw4f37t0bFxcHz6kGEkicCzVCnz59/vnnn7Nnz4aEhOjp6QUHB3O5XNyhAM9ER0ebmZnFx8czmUwtLS34HpccsrKyfn5+ycnJ9fX1xsbGXl5e1dXVuEMBniksLHR3dx82bFjfvn0zMzO9vLzgliAgmSSi35NIJHd394yMDHt7+9mzZzs4OMDzO8RATk6Os7Ozo6Njr169Hj9+jBC6d++ehYVFbm4u7mhAcIhHGe/Zsyc4OBiOxMRDfX391q1b+/btm5iYSEwmpqWlhTsUANhIRKFG0NTUvHjx4vPnz5lMprm5ubu7+5cvX3CHAh1RW1vr6+trZGSUk5Nz//7927dv29nZqampIYTev39vZmb28OFD3BmB4NBotFWrVuXl5U2dOnXu3LmWlpbx8fG4Q4GO4HK5165d09fXP3DgwLp16169euXs7Iw7FAC4cSUPh8O5ePFijx49lJSU9u3b19DQgDsRaCsmkxkYGNi1a9cuXbqcOHGCyWQ2vzRp0iQKhYIQIpPJZDLZz88PY06AS3p6uoODA4lEcnV1LSgowB0HtElNTU1tbW1iYuLgwYPJZPL8+fNLSkpwhwJAWEhioUaora3dsmWLnJycpqbm8ePHGQwG7kTgV1gsVnBwcJ8+fWg0mpeXV0VFRasV9u3bR6PRmo9AyGSyi4tLXV0dlrQAr5s3b/bu3VtKSmrp0qWfP3/GHQf8i4SEBGKaTnt7+5cvX+KOA4BwkdxCjVBaWurt7S0rK6ulpXX48OHGxkbciUBrHA7nzp07AwcOJJPJ06ZNy8nJ+eFqT58+bTVaTKVSDQwMYFhFMjU1NQUFBfXq1UtKSmrhwoVFRUW4E4EfePXq1bRp00gkEo1G09TULC4uxp0IAKEj6YUa4dOnT8uXL5eWlu7Zs2dgYGDLE2oAr0ePHpmamhIl2tu3b3+xZn19/fdPV6LRaMrKyjExMYLKC4QLg8EIDAzU1NSUk5Nbvnw5nFATHq9fv3Zzc6NQKIaGhmFhYcR8nT169PjZkRgAEgsKtf/34cOHhQsXUqnUXr16HT58uLa2FnciydXU1BQWFmZpaUkikcaNG5eamtqWd/1wtigKhUKhUI4cOcLvzEBoEeWaurq6vLz8woULf13xA35LSUlxc3OjUqn6+vpBQUFsNpvL5S5btoxKpdJoNDU1tczMTNwZARAiUKi1lpOTs2jRIllZ2S5dumzZsgUOwQWssrLS399fU1OTRqPNmjUrPT297e/966+/pKSkfnbfzKJFi5qamviXHAi5mpqagwcPamtrUygUFxeX58+f404kWdhsNnGDNkLI0tIyNDSUKNEIAQEBxDWmVCpVQUGBTqdjjAqAUIFC7cdKS0v9/Pw0NDSkpKTc3NyysrJwJxJ/RUVFW7duVVZWVlBQWL58+YcPH9rbQkhIyA8fiUksHDNmDFwBA9hs9p07d6ytrRFCtra2YWFhLBYLdygx19jYGBQUpKenRyKRHB0d79y58/06kZGRLUfBZWRkIiMjBR8VACEEhdqv1NfXnzp1ql+/fmQyedSoUWFhYXBzKM+xWKx79+5NnDiRSqVqaWnt27evqqqqY03l5eV9X6XRaLSuXbsGBQXxNjYQdY8fP/7jjz9IJFLfvn39/f3PnDmDO5EYys7OXrVqVZcuXWRkZBYsWPD69eufrfn+/ftWB1dUKjU0NFSQaQEQTlCo/TviEHzcuHEUCkVNTW3NmjVv3rzBHUocFBQU+Pj4aGlpkUik4cOHX758+fdPTaqoqLS865NMJi9evLi6upongYH4ycrK8vT0lJeXJ5FIkydPjoyMbHk+DnRMXV3dhQsXiLOcurq6O3bs+NdrSNhs9vfXLZDJ5MDAQMFkBkBoQaHWDp8+fdq+fXvPnj0RQkOGDAkODoYbDjqgsbHx+vXrTk5OZDK5e/fu3t7ePLzPa9y4ccSJThKJZG5u7uzsPHXqVF41DsTS8+fPZWRkNDQ07O3tSSSStrb2tm3b4KkuHfPixYslS5YoKSlJSUm5uLg8fPiw7YVvnz59fnh16datW/kZGQBhB4Vau7HZ7EePHk2bNk1KSkpGRmbcuHFBQUE1NTW4cwk7Fov19OnThQsXKikpkclkR0fHsLAwnl/dv3v3boSQgoLCyZMn2Wz2gwcPEEIRERG83QoQG3l5ecQorJWVFZfLfffunbe3d7du3RBC+vr6W7duzcvLw51RBLx69Wrr1q39+/dHCPXr18/Pz+/Lly/tbWTixIk/vMaURCJ5enpyOBx+JAdA+EGh1nFfv349deqUg4MDhUKRl5efMWPG7du3YUKqVphMZlRU1Ny5czt37kwikWxsbA4fPlxYWMinzT1+/HjatGktz7O4uLj07NkTxj7B98rKynr16kU8fs/R0bF5eVNT07179zw8PIiDiiFDhhw9ehTuRPleVlbW1q1bBwwYgBDS1tZevXp1UlJSh1vbsGGDtLT0DwfVEELz5s2D2z6AZIJCjQdKSkqOHTs2dOhQMpmspKTk4uJy7tw5CX8S+tevXy9duuTm5talSxeEkKWl5f79+ztwI+fvKy4uVlZW3rhxo+A3DYRZQ0ODtbV187RjU6ZM+X6dxsbG8PBwV1dXBQUFCoUyZMiQ3bt3v3z5UpJHdxgMRnR09Nq1aw0MDBBCGhoaXl5edDr99/fJ+fPnfziiRqVSZWRkfHx8YEY4IJlIXC73Z0cwoL0KCwtv3Lhx//792NhYBoNhbGzs5OTk5ORka2v7/UPzxQ+bzU5OTo6MjIyMjExOTqZQKLa2tmPGjJk2bZquri7GYEePHl2zZk1qaqq+vj7GGEB4cLlcV1fXa9eusVgshBCFQnFzczt//vzP1m9oaIiMjLxz586DBw9KSkq6d+/u5OQ0ZsyYkSNHdu7cWYDBsfnw4UNkZGRUVFR0dHRtbW3//v3HjBkzadIkOzu7H1ZXHZCQkGBra9tyCY1G43K5c+bM2b59e/fu3XmyFQBEDhRqfFFfXx8bG0t8r+Xk5CgpKQ0dOtTOzs7GxobL5fbq1UtTUxN3Rt5gMpmpqal0Op1Opz958qS8vFxbW5soTx0dHRUUFHAHRAghDodjY2MjJSUVGxtLIpFwxwH4rVq1KiAggMPhEP8k5gM9evTov76Ry+WmpqZGRUVFRUUlJiZyuVwrKys7OztbW1sbGxs1NTU+Bxeo9+/fEx/t2NjYN2/eyMvLOzg4EJ9ufhx6VVRUqKqqEv9Po9FYLJaenl5oaKihoSHPtwWACIFCje/y8vKioqKePHlCp9OLi4tJJJKRkdHo0aPt7OwGDx4sit/slZWViYmJCQkJ8fHxz58/r6+v79Kli42Njb29/ejRo4kTIsImJSVl0KBBZ86cmT17Nu4sALNTp04tWbKk5RJpaemVK1fu2bOnXe1UVVU9evQoOjqaTqdnZWVxOJz+/fvb2NgQh2T9+/cXuaMCJpOZlpZGfLSJ7ytpaWkLCws7O7uRI0cOGTLkFzN/8ISysnJ1dTVCaPz48evWrRs7dqy3t/fGjRv5ulEAhBwUagK1cePGPXv2jBkzprS0NDU1lcPhdO7cWV9f39zc3MDAQF9f38zMTE5ODnfM/8FisT5+/JiVlZWSkpKdnZ2VlUU8tVJdXZ0YSLCzszMzMxP+36Tly5dfvnz5zZs3xGVzQDJFRERMnDixeSyNIC0tvXnz5s2bN3e42ZqamqSkpPj4+JSUlKdPn1ZVVUlJSfXp06f5o21lZUXcTCpUioqKiA818d+UlJTGxkZFRUUrKyvio21raysrKyuwPNbW1jIyMnv37rWyskII+fr6Hj58+P379y2fjwiApIFCTXByc3MNDAyampoOHjy4cuXKysrKFy9epKenZ2ZmZmZmZmdnMxgMKpXar1+//v376+jo6OrqEv/V1dXt1KmTABI2Njbm5+fn5+cXFBQQ/83Nzc3Ozm5qaqLRaP379zcyMho4cKCRkZGlpWXXrl0FEImHqqur9fX1x4wZc/r0adxZAB4vXrwYOnQoMb9Iy+VSUlL+/v4rVqzgyVaIcam0tDTio52RkVFRUYEQ6tGjh76+PvG5bv6AC6Z6Y7PZhYWFxOea+Gjn5eVlZWV9+/YNIaSlpWVkZER8uk1NTQcMGIDruOvDhw/EgyoJtbW1vXv3njNnjp+fH5Y8AAgDKNQEx8HBIT4+nngm0P79+1u9ymKx3r17l5mZmZ6enpeXR3ylfv36lXhVTU2tZ8+eXbt2VW1BTU1NVVVVUVFRRkaGOOolniZAzGqMEKqrq2tqakIIEV/HDAajvr6+tra2vLy8rKysrKys/L/Kyso+fPhQXFxMbE5FRYX4IenduzfxDa6np8fvsx4CEBoaOmPGjMePHw8bNgx3FiBoeXl5VlZWVVVVbDa71UtUKvXUqVPz5s3j06Y/f/786tWrjIyM169fFxQUFBQUfP78mbiPQU5OTldXt1u3bsTHmdClSxfif6hUqpKSEkJIVlZWRkYGIaSsrEwikZhMZm1tLUKotraWyWRyudzKysqmpqbyFr5+/Up8xgsLCz9+/MhkMhFCMjIyOv9laGhoaGg4cOBAYb4f4uDBg5s2bcrJyenRowfuLADgAYWagAQFBc2ZM4fL5ZLJ5KlTp4aGhrblXXV1dc1HwB8+fGhZWhE6nEdZWbn5h0FFRUVVVbVnz57NR/nEb4NYGjduXEFBQWpqavNzGYAkqK6uNjU1bTWhZDMSiXT58uXp06cLLA+Lxfr06VPzR7ukpKTVp5s4xOoAOTm55mqPKPjU1dWbx/A0NDR4+4fwW2NjY//+/ceOHXvy5EncWQDAAwo1QSgvL+/Tpw8x1zhCyNLS8vnz57/fLIfDKS8vr6mpIYbKEELV1dVsNrv5aFtOTk5aWppEIikrK6P/HpTLy8urqqpSKJTfDyCKCgoKDAwMfHx8vL29cWcBApWRkREYGHjhwgXi1Gery9QiIiLGjRuHK9v3ampqysvL2Wx2ZWUlQqihoaGxsRH9d3S8edRcXl6eRqNRKBRFRUUpKSlVVVVBXlImGGfPnl2yZEl2dvbP5pgCQLxBoSYIbm5uoaGhxKkHhJC6unpRURHeSJJs586de/bsefXqFd6nuwEsGhsbIyIiNm7cmJubS6PRmj+VT548sbe3x5sN/BCbzTYyMjIxMbl8+TLuLABgAIUa38XExIwYMaLlfqZQKAwGQ2LHtLBramoyMTHR0dG5f/8+7iwAg9raWk1NzQULFlRVVV26dInBYHA4nBcvXlhYWOCOBn7s2rVrf/75Z0pKiqmpKe4sAAgab54oDX6moaFh9uzZrZ7czWazS0tLcUUCUlJSp06dioqKunXrFu4sAIOQkBAmk7lx48bTp0+XlJQcP37c2NhYXl4edy7wU1OnTrWystqyZQvuIABgACNq/LV+/foDBw4Qt3e19Pz5c0tLSyyRAMHDwyMmJiY7Oxt+oSWNubm5kZHRhQsXWi7kcrnC/yxASfbw4cPRo0fHxMTALdtA0kChxkeZmZmmpqbfPwsAIXTz5s1JkyYJPhJoVl5ePmDAAA8Pj+8flQLEWFJSkrW1dUJCwuDBg3FnAe0zYsQIBoMRHx+POwgAAgWnPvmFw+HMmzfvh8foNBrt06dPgo8EWlJVVd21a1dAQEBqairuLEBwAgMDBw4cCFWaKPLz80tISIBLS4GkgUKNX44dO/bixYvvT3oihMhkcmFhoeAjgVbmz59vZWW1aNGiVk9qAOKqqqoqLCxs0aJFuIOAjrC0tHR2dl6/fj18YIFEgUKNX2pra21sbKSlpRFCUlJSLe/xZDKZnz9/xhcN/AeZTA4MDExLS4NJpSREcHAwQmjWrFm4g4AO2rVrV3Z2dhsfGA6AeIBr1PirqakpJSXlxo0bISEhDAajsrKSQqFwOBziKhnc6QBCCK1du/b06dOvX79WV1fHnQXwl5GRkbW1NdTlIs3Dw+Pp06dv3rwRg0ntAGgLGFHjLykpqcGDB/fs2ZPBYJSXl799+/bMmTNz584V4zmaRM62bdtUVFTWrVuHOwjgLzqd/urVKzjvKeq2b99eVFR07tw53EEAEBAYUROE6dOn19TU3Lt3D3cQ8GORkZFjx479559/RowYgTsL4Bd3d/fMzEy4d0QMeHp63rhxIzc3V05ODncWAPgORtQEISEhwdbWFncK8FNjxoyZMGHCkiVLiOkUgfiprKy8cePG0qVLcQcBPODj41NbW3vs2DHcQQAQBCjU+O7Dhw+fPn2ys7PDHQT8ytGjR4uLi/fu3Ys7COCLc+fOUSiU6dOn4w4CeEBNTW358uV79uypqKjAnQUAvoNCje/odDqNRoNpBIWclpaWj4/P7t273759izsL4L2zZ8/OmjVLQUEBdxDAG2vXrqVQKAcOHMAdBAC+g0KN7+h0upmZGVxLIfxWrlypp6fn6emJOwjgsSdPnmRnZy9YsAB3EMAzSkpK69atCwgIKCkpwZ0FAP6CQo3v6HQ6nPcUCVQqNTAwMDo6+urVq7izAF4KDAy0trY2NTXFHQTw0vLlyzt37rxr1y7cQQDgLyjU+Ku6uvrVq1dwJ4GosLKymjdv3sqVKysrK3FnAbxRVlZ269YteCqH+JGRkdm8eXNgYGBeXh7uLADwERRq/JWYmMhms2FiQRHi5+fH4XA2b96MOwjgjXPnzsnKyrq4uOAOAnhv3rx5vXv33rZtG+4gAPARFGr8RafT+/bt2717d9xBQFupqKjs27fv5MmTz549w50F/C4ul3vmzBl3d3e4SFQsUanUrVu3Xrp0KT09HXcWAPgFHnjLXw4ODj179jx//jzuIKB9RowYUVZWlpKSQqVScWcBHffo0aNRo0ZlZmYaGhrizgL4gsvlmpuba2lphYeH484CAF/AiBofsVisFy9ewAVqoujkyZNv3749fvw47iDgtwQGBg4ZMgSqNDFGIpF27tx5584dmD0ZiCsYUeOj5ORkS0vL7OxsPT093FlAu23ZsiUgIOD169eampq4s4COKCkp0dbWPn/+vKurK+4sgL+GDx/OZrPj4uJwBwGA92BEjY/i4+NVVFQGDBiAOwjoiM2bN6urq69cuRJ3ENBBZ8+eVVRUnDJlCu4ggO927tz59OnTBw8e4A4CAO9BocZHdDrd1taWRCLhDgI6Qlpa+ujRo9euXbt79y7uLKDdOBzOmTNnZs+eLSMjgzsL4DtbW9tx48Z5e3tzOBzcWQDgMSjU+CgxMREuUBNpo0aNcnFx+euvv+rq6nBnAe0TFRX14cOHhQsX4g4CBGT37t2ZmZk3btzAHQQAHoNr1Pjl/fv3vXv3fvr0KUxLINJKSkr09PSWLl0KD0AXLRMmTKitrY2OjsYdBAiOq6trcnJyVlYW3KwNxAmMqPELnU6XlpaGudhFXffu3bdv375///7s7GzcWUBbff78+d69ezAbgaTZuXNnQUHBhQsXcAcBgJdgRI1fFi9enJmZSafTcQcBv4vD4djY2EhJScXGxsIVhyLB19f3xIkTnz59kpaWxp0FCNTSpUvDw8Nzc3NlZWVxZwGAN2BEjV9gLnaxQSaTjx8/npCQEBQUhDsL+HdsNvv8+fPz5s2DKk0CbdmypbKy8sSJE7iDAMAzUKjxRWVlZXZ2NtxJIDbMzc2XLl26Zs2asrIy3FnAv7h79+6nT5/mzZuHOwjAQF1d3dPTc8+ePdXV1bizAMAbUKjxRUJCApfLhbnYxcnOnTtlZGQ2bNiAOwj4F4GBgaNGjerTpw/uIACP9evXc7ncAwcO4A4CAG9AocYXdDq9X79+ampquIMAnlFUVDxw4MDZs2efPHmCOwv4qY8fPz58+BBuI5BkysrKa9asOXjw4JcvX3BnAYAHoFDjC7hATSz9+eefY8eO/euvv5hMJu4s4McCAwO7du06btw43EEATitWrFBSUtqzZw/uIADwABRqvMdkMmEudnF17Nix/Pz8Q4cO4Q4CfoDFYl24cGH+/Pk0Gg13FoCTrKzshg0bTp48mZ+fjzsLAL8LCjXee/nyZX19PRRqYklHR2f9+vXbtm2DHwAhdPv27ZKSEriNACCEFi5cqKWltWPHDtxBAPhd8Bw13jt48OCePXtKS0vhmVtiqampycTEREdH5/79+7izgP8xcuRIGRmZiIgI3EGAUAgJCZk9e3ZGRoa+vj7uLAB0HIyo8R5xgRpUaeJKSkrq1KlTUVFRt27dwp0F/L+8vLzHjx/DbQSg2cyZM42MjLZs2YI7CAC/BQo13ktISIDznuJt6NChbm5uXl5etbW1uLOA/wgMDNTQ0BgzZgzuIEBYkMnk7du337x589mzZ7izANBxUKjxWG5ubklJCRRqYu/gwYMNDQ2+vr64gwCEEGpqagoKClqwYAGFQsGdBQiR8ePH29jYrF+/HncQADoOCjUei4+Pl5aWNjMzwx0E8JeqququXbsCAgJSU1NxZwHoxo0bFRUVcBsB+J6fn19sbGx0dDTuIAB0ENxMwGMLFix4+/ZtXFwc7iCA7zgczpAhQ5hM5rNnz8hkOObBadiwYSoqKjdv3sQdBAijMWPGlJWVPX/+HC4dBqIIfl14jE6nw3lPCUEmkwMDA9PS0k6fPo07i0R78+ZNXFwc3EYAfsbf3//ly5dw9w8QUVCo8dK3b9/evn0LhZrkMDQ09PLy8vb2Li4uxp1FcgUGBuro6IwcORJ3ECCkBg4cOG3atI0bN7JYLNxZAGg3KNR4KT4+nsvl2tjY4A4CBGfbtm0qKirr1q3DHURCNTY2BgcHL1iwAM4+g1/YsWPH+/fvQ0JCcAcBoN3gq42X6HS6np6eiooK7iBAcOTk5I4fPx4SEgJXK2MRFhZWU1Mze/Zs3EGAUOvbt+/s2bN9fX0ZDAbuLAC0DxRqvARzsUumMWPGTJgwYcmSJY2NjbizSJzAwMCJEyeqq6vjDgKEna+v79evX0+dOoU7CADtI253fW7atCksLAzX1ouKihQUFBQUFPjRuJ2d3fnz5/nRMiCYmZnV1NR07L0sFuvz58/q6urS0tK8TcUTu3btcnFx4WGDv7OveIjD4RQWFnbp0kVWVpZXbfJ8XwGe4Ml3e1lZGZvN7tatG08i8Qp8t4Nfo+IOwGNfvnxBCInfeZBbt24VFhbiTiHm8vLyHBwcLCwsOvZ2NpstnE9b3bFjR1VVFW/b/M19JbT4sa8AT/Dku53D4QjbtYzw3Q7+lbgVagghXV3dTZs24U7BY/n5+R8/fsSdQvyNHTt2wYIFuFPw2N69e/nRLOwrIGDw3Q4kk3AdWwAAAAAAgGZQqAEAAAAACCko1AAAAAAAhBQUagAAAAAAQgoKNQAAAAAAIQWFGgAAAACAkIJCDQAAAABASEGhBgAAAAAgpKBQAwAAAAAQUlCoAQAAAAAIKSjUAAAAAACEFBRqAAAAAABCCgo1AAAAAAAhJemF2ocPH5ydnaurq5uXpKWl/fHHH8rKygoKCo6OjnQ6vWMt/7qd9evXh4aG/lZ0gBX/eg5C6P79+/369aNSqd+/JIo9hx/7isvl0un0ZcuW9evXT1paumvXrnZ2diEhIVwut3kdUdxXgFf40eu+fft26tQpBwcHFRUVWVnZvn37urq6pqent1wHeh3gOYku1NLS0iwsLEaNGqWoqEgsSUpKsrGxUVBQeP36dX5+fq9evYYNG/bw4cP2tvyv7SxYsGDDhg1btmzh2R8DBIh/PScvL8/Z2XnDhg1fvnz54Qoi13P4tK/evn1rZ2f37t2769evV1VVPXv2TFtb283Nbe3atc3riNy+ArzCp163du1aT0/PCRMmZGdnl5eXnzt3Li0tzdzc/Pbt283rQK8DvMcVL/PmzRs5cmRb1qyqqurRo8eiRYual7DZbAMDA3V19fr6emIJi8Xq37+/lpZWY2Nj2zO0sZ20tDQSiRQaGtqWNtv+d4EOU1RU/Pvvv/91Nf71HC6XO2PGjD179jCZTE1NTQqF8sN12tVzuG3+u9oF+756/fo1lUqtqKhoXsJgMFRVVaWlpTv8KePyZ18BnhCG7/Z58+YtXLiw5ZK0tDSEUN++fVsthO92wEOSO6K2d+/ekpISHx+f5iVxcXFZWVlTp06VlZUlllAolBkzZnz69Onu3bttb7mN7RgbG0+dOnX16tUsFosXfxAQEP71HITQ2bNn169f/8OTns1EqOfwb18NGDCAyWR27tw/pH8DAAAgAElEQVS5eYmUlJSWlhaDwWhsbGxeKEL7CvAK/3rdmTNnAgMDWy4xNjaWlZXNy8vjtjjnDr0O8JaEFmpcLvfMmTODBg3S0NBoXvj48WOEkIWFRcs1iX9GR0e3vfG2tzNp0qTPnz/fu3ev3X8AwISvPQch1PxD8msi0XP4va9aqayszMnJMTU1VVJSarlcJPYV4BUB97q6urqGhgZDQ0MSidRyOfQ6wEMSWqilp6d/+fLF2Ni45cI3b94ghHr06NFyoaamJkLo3bt3bW+87e2YmJgghB48eNCu8AAjvvacthOJniOwfVVdXU2n052dnbt37x4cHNzqVZHYV4BXBPwJvXbtGkJo06ZNrZZDrwM8JKGF2qtXr9B3n9vKykqEUKdOnVoulJeXRwh9+/at7Y23vR3im4IIA0QCX3tO24lEzxHMvtq5c6eSkpKdnR2FQrl165ahoWGrFURiXwFeEeQn9MuXL+vXr58/f76Li0url6DXAR6S0EKtuLgYIdTqFMkPEVcetBrW7oAftqOoqEgikYgwQCQIvuf8kEj0HMHsq82bNzMYjNevXw8YMMDU1HTHjh2tVhCJfQV4RWCf0PLycicnp2HDhp06der7V6HXAR6S0EKNuNyYRqO1XKisrIwQqqura7mQ+CfxUhu1qx0qldrQ0ND2xgFefO057SL8PUdg+0pKSmrAgAEnT550dnb28fH5559/Wq0g/PsK8Ipgel1dXd3o0aP19fUvXbpEoVB+uA70OsArElqoycjIIISYTGbLhQMGDEAIff78ueXCwsJChFC/fv3a3ni72mGxWG28fhwIA772nHYR/p4j+H01fvx4hND39/EJ/74CvCKAXsdisaZNm6apqRkUFPSzKg1BrwO8I6GFmrq6OkKoqqqq5cLhw4cjhFJSUlouJP45YsSItjfe9naqq6u5XC4RBogEvvacthOJniP4fSUtLY0QqqioaLlQJPYV4BUB9LpFixYxGIywsLDmx+j06dPn2bNnLdeBXgd4SEILNeKK41YHWPb29vr6+tevX29+DhObzb569aqWltYff/zR9sbb3g5xSPf95c9AaPG157SdSPQcvu6rNWvWzJo1q9XCyMhIhJClpWXLhSKxrwCv8PsT6uvrm5WVFR4eThwV/Az0OsBDElqoGRsbd+3atdUcbWQy+ezZsxUVFXPmzCkpKSkvL1+2bFlOTs7p06eJ4XTCrFmzSCRSfn7+zxpvYzsIIeKp1qNGjeL13wf4ha89p+1Eoufwe19dvnx5+/btBQUFDAajoKDA29s7JCTE3Nx8/vz5LVcTiX0FeIWvve7ChQvbtm1LSkpSUFAgtZCXl9dqTeh1gIcktFAjkUjz589PSkoqKipqudza2johIaGqqqp///46Ojo5OTlPnjwZPXp0y3WKi4vl5eW1tbV/0X5b2kEI3bp1S1NTk0+DLoAf+N1z7t69S3z1FxYWstls4v/PnDnTajWR6Dl83Vc+Pj6nT59OSEgYPny4oqKikZFRdHT0nj17nj592urCIJHYV4BX+Nrrrl+/3sYY0OsAL+GYt4qP2j5vWmVlpaamZsv54Nri27dvsrKy8+fP71C6/0HMB3flypW2rAzzwQlAG+d5FK2ew8U61yfsK8Ar8N0OJJaEjqghhJSUlCIiIq5fv378+PE2voXL5S5fvlxRUfH7ZzW11/v37ydPnrxhw4bp06f/ZlNAwKDntB3sKyB40OuAmJHcQg0hZGpqmpycHBkZWV1d3Zb1v3z58v79++jo6O7du//mpgMDA3ft2rVr167fbAdgAT2n7WBfAcGDXgfECRV3AMx0dHS+f+rSz3Tv3j0+Pp4n2/X39+dJOwAX6DltB/sKCB70OiA2JHpEDQAAAABAmEGhBgAAAAAgpKBQAwAAAAAQUlCoAQAAAAAIKSjUAAAAAACEFBRqAAAAAABCCgo1AAAAAAAhBYUaAAAAAICQgkINAAAAAEBIQaEGAAAAACCkJH0KKQDE25EjR+rr68PDw9XU1MzMzLS1tXEnAgAA0A4wogaAOPP09CSRSPfu3Zs0aVLPnj2VlZUdHR03b9588+bNDx8+4E4HAADgX8CIGgDijEQiycjIqKurFxUVsVisqqqq6Ojo2NhYNpvN5XIVFRUtLCysra3NzMzMzc11dHRw5wUAAPA/YEStg969e1dRUYE7BQD/jkQieXp6qqqqUqn/OTBjsVhcLhchVF1dHRMTc+DAgWnTpunq6nbu3Pns2bMCC1ZXVxcVFSWwzQHAP+/fv6+vr8edAognMRxRo9Ppffv25fdWysrKpKWlFRQU+L0hQmlp6aBBgwSzLUm2efPmvXv34k7BY7W1tUpKSlFRUTY2NhwOh8PhtHyVy+UyGAzi/zkczsSJE9vY7G/uKzabXVxcrKioqKio2OFGeK62thZ3BPBTgvlu7xgmk1lUVNStWzcZGZl2vRG+28G/ErdCbfLkybq6uvzeCovF8vPz09bWdnFx4fe2mvXq1Utg25JMPj4+jY2NuFPwhaWlpYmJyfXr18ePH/+zdchksr+/v6qqalsa/M19VVlZee7cucbGRnd3d2G7v8HS0hJ3BPADgvlu/x2HDh0qLCy0t7cfPnw4hUJp+xvhux38Gok4AwLa5eLFi+7u7goKChUVFc2nkwAQfvv27fP29v7+U0+lUgcMGJCWltauH5iOefXq1YgRI75+/crlcisqKjp37szvLQIgAN7e3nv37qVQKPr6+levXtXX18edCIgJuEatI44fP04mk2tqahITE3FnAaAd1q5du2DBgu+PLthstpeXlwCqtKSkJDs7u2/fvnG5XFVVVajSgNgghqvZbPbr169NTEz8/f1bXWYAQMdAodZu2dnZSUlJHA5HSkrq3r17uOMA0D7Hjh2ztbWl0WjNS2g0moODw8KFC93c3L58+cK/TUdERAwdOrS2tpbJZCKEYMgBiJPBgwcrKSkhhFgsFpPJ3Lhxo42NTV5eHu5cQORBodZuJ06cIH7kmpqabt68iTsOAO1Do9Fu3rzZo0eP5nE1KpUaHBwcHh4eHx/fv3//gIAANpvN8+0GBwdPmjSJxWIRjUtJSQ0cOJDnWwEAFwqF4uzs3HwIxOFwUlNTBw4c+Pfff+MNBkQdFGrtU19fHxQURIwHIIRycnLggAmIHBUVlaioKDk5OTKZTKFQtm3bpqGhMX78+KysrBUrVnh7e1tYWPD2tH5AQMDs2bPZbHbzySAul6unp8fDTQCAnbOzM4vFav5nU1NTfX394sWLnZyciouLMQYDIg0Ktfa5fPlyy4flUKnU+/fvY8wDQMf069fv9u3bJBKpZ8+eXl5exEI5OTlfX9/MzMyuXbva2tq6u7uXlZX95oa4XO7atWtXrFjR6g4GJpMJpz6BmHFycvr+AlAulxsTE2NoaBgeHo4lFRB1UKi1z7Fjx1r+k8PhwGcPiKjhw4efOnXqxIkTUlJSLZf37dv3wYMH4eHhMTExxJnQDl8T3dTUNGPGjIMHD/7wVRhRA2JGXl7ezs6OTG79w9rU1PTt27eJEyfOmzevpqYGSzYguqBQa4e0tLT09PSWP1ocDicuLg4+eEBEzZ8/f/To0T98afz48a9evZo1a9bq1avt7e0zMzPb23hNTY2Tk9ONGzd+WOcpKCh079693YkBEG6TJk36vlBDCHG5XDKZnJaWVl5eLvhUQKRBodYOx48fb3mvHIHFYv3zzz9Y8gDAV0pKSgEBAcnJyWw228zMzMvLq7q6uu1vX7lyZUxMzM/uS+jfvz+PYgIgRFpdpkYgSrdly5YlJibCjLqgvaBQa6uamppLly4130bQjEql3r17F0skAATAxMSETqefPXv28uXLenp6wcHBbXzj6dOnw8LCevTo8f3j2ahUqomJCa+TAoBfz549BwwY0HIJlUpVUFC4f//+kSNHWl1mAEBbQKHWVsHBwU1NTd8vZzKZ4eHhMMEDEGMkEsnd3f3t27dTp06dM2eOg4PD69ev2/KuadOm5ebmnjhxQlFRseVF1mQyGS5QA+Jq8uTJzedeyGSymppa165d7e3t8aYCogsKtbY6fvz4zy6pLi8vT0lJEXAeAARMRUUlICAgNja2vLzczMxs69atbZnuU0pKys3NTV5e3tzcXFpamhhRaGpqajXqAIDYGD9+PJPJpFAoVCrV398/KSmpoqJixYoVuHMBUQWFWpu8fPny3bt3Pxw2I07rwNlPICHs7OxSUlJ27dp16NAhExOT2NjYf33L4cOHq6urb9++nZub6+rqSlyvA8/mAOLKyspKVVW1R48eiYmJa9as0dLSCgoKOnPmzJUrV3BHAyIJJmVvh8bGxvr6+srKyoMHD969e/fMmTPfvn2rr6+vq6vr0qWLi4sL7oAACE5RUZGnp+etW7dmzZp16NAhVVXVH6727du3Pn36eHp6+vr6EkuysrK2b99+5cqVH94cB4AYCA0NHTt2rIKCQvOSZcuWXbp0KTU1VVdXF2MwIIqgUOuI9evXR0dHv3jxAncQADCLiIhYsmQJi8Xau3evu7v79yusWrUqJCQkNzdXUVFR8PEAEBIMBmPQoEHS0tLx8fHfPz0AgF+AI9qOqKmpaXmoBIDEIh639ueff86ZM2fcuHEfP35s+WpBQcGJEyd8fX2hSgMSTlpa+vLly69evdq2bRvuLEDEQKHWEbW1tfLy8rhTACAUlJWViZsM3r9/r6en5+/v3/zstM2bN2tqas6fPx9vQgCEgb6+/qFDh/bs2QOP3gTtAqc+O2Ly5MkyMjKXL1/GHQQAIcJkMg8ePLh161YDA4PTp09TKBQzM7PQ0NCpU6fijgaAsJg5c+bjx4/T09O7deuGOwsQDTCi1hG1tbVw6hOAVmg0mre3d3JyspSU1KBBg5ydnc3MzKZMmYI7FwBC5MSJE7KysnPmzIFREtBGUKh1BJz6BOBnDA0NExISvLy8Pn78WFRUFB0djTsRAEJEWVk5NDT0n3/+OXLkCO4sQDRAodYRcDMBAL/25MkTR0fHwYMHjxo1yt3dHSaiBqCZlZWVj4+Pt7d3amoq7ixABECh1hEwogbAL1y5ciU1NXXfvn3Xr18PDw+PiYkxMDBo+yShAIi9jRs32tnZubi41NTU4M4ChB0Uah1RU1MDhRoAP9TU1OTj4+Ph4UFMuz5+/PjMzExnZ+fZs2ePHz/+06dPuAMCgB+ZTA4KCqqsrPTy8sKdBQg7KNQ6AkbUAPiZEydOFBYWNs9DgBBSVlb++++/nzx5kpOTY2hoePr0abiMGgBNTc3g4OALFy5cunQJdxYg1KBQazcmk8lgMOAaNQC+V1NTs2fPHi8vL21t7VYvDR06NC0tbcmSJUuWLLG3t8/JycGSEADhMWbMGE9Pz8WLF7979w53FiC8oFBrN+KSAhhRA+B7fn5+TCZz3bp1P3xVRkbGz88vOTm5pqbGxMTE39+fw+EIOCEAQmXv3r19+/Z1dXVtamrCnQUIKSjU2q22thYhBCNqALRSVFQUEBCwadMmFRWVX6xmYmLy/PlzHx8fHx+foUOHwlgCkGTS0tJhYWFv37718fHBnQUIKSjU2o0o1GBEDYBWtm7d2qVLl2XLlv3rmsSjcV+8eNHQ0EAMrTXPOgWApOnTp8/hw4f37dv36NEj3FmAMIJCrd2IU58wogZAS2/fvr1w4cKOHTtkZGTa+JaBAwcmJiauXbt2y5Ytw4YNy83N5WtCAITW3Llzp0+fPmvWrJKSEtxZgNCBQq3dYEQNgO+tW7dOX1/f1dW1Xe+SkpLatm3bixcviKvWTpw4ATeEAskUGBiopKQ0e/Zs+AiAVqBQaze4mQCAVp49exYREbF3714yuSNfKcbGxsnJyVu2bFmxYsWoUaM+fvzI84QACDl5eflLly7FxMQcOnQIdxYgXKBQa7fa2lppaWkajYY7CADCYs2aNfb29qNHj+5wC1Qq1dvbOz4+/vPnz0ZGRn///TcP4wEgEiwtLX19fdevX5+UlIQ7CxAiUKi1G0z0CUBLt27dSkhI2L9//+83ZWVllZqaumTJkqVLl44dO7aoqOj32wRAhHh7ew8bNszV1bW6uhp3FiAsoFBrN5iWAIBmbDZ78+bNf/75p7m5OU8aJJ61FhcXl5uba2BgEBISwpNmARAJZDL54sWLdXV1np6euLMAYQGFWrvV1tbCiBoAhDNnzuTk5OzYsYO3zdrY2KSkpLi4uLi7u7u6ulZWVvK2fQCEVrdu3c6fP3/x4sWLFy/izgKEAhRq7QYjagAQGhoadu7cuWTJkj59+vC8cQUFhcDAwPv378fExBgbGz958oTnmwBAODk5Oa1YsWLp0qVv377FnQXgB4Vau8E1agAQ9u/fX1VVtXHjRv5twsnJKTs729bW1sHBwcvLi8Fg8G9bAAgPf39/AwMDmFoKICjUOgBG1ABACJWVle3fv9/b27tbt2583ZCysvLly5cvXLhw7tw5CwuLjIwMvm4OAGFAo9FCQkLevXu3adMm3FkAZlCotVtNTQ0UagBs3769U6dOK1asEMzm3N3dMzMzlZWVBw0aBLO5A0nQp0+fo0ePHjhw4O7du7izAJygUGs3uJkAgPz8/L///tvX17dTp04C26iOjk5MTIyvr++WLVucnJwKCwsFtmkAsPDw8HB1dZ07d25xcTHuLAAbKNTaDU59ArBhwwYdHZ25c+cKeLvEc3Hj4uLy8/NNTEwiIiIEHAAAATt58mTnzp1dXV1hFFliQaHWbnDqE0i4tLS0a9eu+fn5UalULAGsra1TU1PHjRs3YcIEuMMAiDd5efnLly/T6fQDBw7gzgLwgEKt3eDUJ5Bwa9assbS0nDBhAsYM8vLy58+fDwsLCw4ONjc3f/XqFcYwAPCVubn5zp07N27c+OzZM9xZAAZQqLUbjKgBSRYZGRkdHb1//34SiYQ7C5o6dWpaWpqioqKVlVVAQADuOADwy5o1a0aPHg1TS0kmKNTah8vl1tXVQaEGJBOHw9m0adPEiRPt7OxwZ/mPnj17xsXFrVu3btWqVdOmTYM5DIBYIpFI586da2hoWLBgAe4sQNCgUGufhoYGNpsNpz6BZAoJCcnIyNi5cyfuIP+DSqX6+vo+ePCATqebmpomJibiTgQA73Xt2vXChQvXr18PCgrCnQUIFInL5eLOgFN1dXVBQUFBQUF+fn75f5WVlVVWVrLZbGKQuaGhgcvlysnJIYQ6depUUlKiq6urra2tpqamqqqqqqqqra2to6Ojq6vbuXNn3H8QEHZNTU0fP34kel1JSUl5CywWq7q6ms1ms9nsmpoaZWVlhJC0tLScnJyMjIzqf3Xp0kVDQ0NXV1dHR0dDQ4NMFtDhVmNj44ABA0aNGvX3338LZovtVVxc7O7uHhcXt3fvXi8vL9xxhEhxcTHR5QoLC8vKysrKyoguV19f39jY2NDQgBCqrq6WlZWl0WgkEklZWZlMJqu20K1bNx0dHR0dnZ49e8rIyOD+gyTX2rVrT548mZycPGDAANxZfqW9v60KCgpUKlVBQaFLly7w29qKZBVq3759y8jIyMjIyMzMTE9Pz83NraioIF7q1q1bc+dQU1NTVlYmOg1CSFpamkwmE99ldXV1TU1NNTU1X79+bf6+Ky4uJnajkpJS7969Bw4caGRkNHDgQGNjYzU1NYx/L8CuqakpOzs7MzMzIyMjPT39zZs3hYWFxG328vLyGhoaROFFdDwqlaqkpEQmk8lksoKCQlVVFdFCXV1dY2Nj8zfd169fi4qKiIllpKSkevbsaWho2NzlevXqxafSbf/+/T4+Pu/evevRowc/2ucJDoezZ8+erVu3Tpo06ezZs4qKirgTYZCfn090uYyMjFevXuXn5zc2NiKEaDSaurp6yx9COTk5WVlZovBSUFBoaGhgsVgIoW/fvnE4HKK/ER2vuLiY6JAIIXV1dT09PSMjIyMjI2NjYwMDA1lZWYx/r0RhMplDhw6tq6t7/vy58FTM8NvKV2JeqHG53Ddv3iQkJMTHxycmJhIT3KqoqBgbGxsZGfXv3584RtTV1f2dLxoGg1HwXzk5Oenp6ZmZmV++fEEI6ejo2Nra2tjY2NnZGRgYUCgUnv1tQFiVlpYmJCTQ6fSEhISUlBQGgyEtLa2vr29kZGRgYECMhOnq6nbp0qXDm+BwOMXFxfn5+fn5+e/fv3/16lVGRkZeXh6bzVZUVLSxsbGxsbG1tbWysuLV9ZSVlZV9+vRZvHixsJ33/KHY2NgZM2bIy8tfv3594MCBuOPwXWNjY3JyMp1Op9PpiYmJZWVlJBJJV1d34MCBBgYGffv2Jb7oevTo8TtfQd++fWseI3n9+nV6enpWVlZ9fT2VSjUxMSG6nK2traamJg//NPC9vLw8MzOzefPmHTx4EFcG+G0VJPEs1MrKyh4+fBgZGfnw4cPS0tJOnTpZWVnZ2toOHjzY2NhYMN8jpaWl6enpiYmJiYmJCQkJ1dXVnTt3dnR0dHJycnJy0tDQEEAGIDBNTU3x8fFRUVFRUVGZmZlkMtnAwID4HjEzM+vfv78AHjlWX1+flZX14sULokwsKCigUqk2NjZElzMxMfmd+zS9vb3PnTuXm5urpKTEw8z8U1paOnPmTDqdfuTIEXG9/jo7OzsyMjIqKurp06cMBkNDQ4PoclZWVkZGRgK4lJbD4eTl5b18+TIhISEhISEtLY3FYvXt29fJyWnMmDH29vbEWS3Ac2FhYdOnT799+7azs7Mgtwu/rXhwxUh+fr6/v7+VlRWZTKbRaMOHD/f393/x4gWTycQbjM1mp6enHz582MnJSVZWlkQiGRsb+/r6vn79Gm8w8JtqamouX748adIkYuBqwIABK1euvH//fmVlJe5o3MLCwitXrsyePbt79+4Ioe7du8+fP//hw4csFqu9TX3+/FlOTu7w4cP8yMk/TCZz69atZDLZzc2trq4OdxzeYLPZT58+/euvv7S1tRFCqqqqM2bMCAoKys/Pxx2NW1tbGx0dvX79euKoQEZGxsnJ6ezZsxUVFbijiSF3d3c1NbXCwkIBbAt+W/ESh0KtsLDwwIEDgwYNIpFIqqqq8+fPv3XrVnV1Ne5cP1ZfX3///v1ly5apq6sjhAYOHLhz587379/jzgXaobGxMSwsbMqUKbKyslQqdfTo0SdPnhSGX8of4nA4L1++3L17t7m5OUJITU1t8eLFT5484XA4bWxh9uzZOjo6jY2NfM3JJxEREZ07dzYxMcnJycGd5bckJSWtWLGCuEDQwMBgy5YtiYmJHSi7BaOoqOjcuXMTJ06UkZGRkpL6448/goKCampqcOcSH7W1tf3797e3t+dfH4DfViEhwoUam81+9OjRtGnTaDSasrKym5vbnTt3GAwG7lxtRRwZL1++XF1dnUwmOzo6BgUF1dfX484FfuXNmzfe3t5qampkMtnW1vbw4cMlJSW4Q7VDQUHB4cOHbW1tEUJ9+vTZunXrx48ff/2WjIwMCoVy+fJlwSTkhw8fPgwaNEhRUTEsLAx3lnarrKwMDAw0MTFBCOnq6i5fvvzp06e4Q7VDXV3dnTt3pk2bJi0traCg4Obm9ujRI9yhxERKSoq0tPTu3bt52yz8tgobkSzUvn79umPHDi0tLRKJNHz48CtXrojosT6ByWSGh4ePGzeOQqF07drV29v706dPuEOB/8FkMq9evUo85VVXV3fXrl1FRUW4Q/2WjIwMT0/Pzp0702i0qVOnxsXF/WzNsWPHGhsbs9lsQcbjuYaGhkWLFpFIpHXr1gntKFQrL1++9PDwkJWVlZeXnzdv3rNnz3An+i3l5eWHDh3S19dHCJmamp45c0akv7eFxIEDB6hUKp1O50lr8NsqnESsUHv79u3ixYtlZWVVVFTWrVv37t073Il46dOnT9u2bdPQ0KDRaLNmzUpNTcWdCHCrq6sPHTqko6NDoVAmT5784MEDUS9ZWmpoaLh48aKNjQ1CyMrKKjQ0tFURExsbixASmyGQoKAgWVnZkSNHlpWV4c7yUxwO5969ew4ODsTpm1OnTlVVVeEOxUt0Ot3Dw0NaWrpbt247duz4+vUr7kQijMPhjB8/XktL6zcvBITfVmEmMoVaWlraxIkTyWRynz59jh07VltbizsRvzAYjAsXLhDPFBg5ciSvDpVAe1VUVGzatElJSUleXt7T0zMvLw93Ij5KSEiYMmUKhULR1dUNDAxsamricrkcDmfw4MGjR4/GnY6XUlNTdXV1tbS0nj9/jjtLa2w2+/Lly/r6+iQSafTo0Q8fPsSdiI+Kioo2btyooqIiJye3fPlyUR+ixqi0tFRdXX3q1Kkdezv8tgo/ESjUsrOzXVxcyGSymZnZjRs3xGk84xc4HM6DBw+GDBmCEHJychLCHxUxVlVVtW3bNmVlZVVV1V27dknOPWu5ubmLFy+WkpLq1avXhQsXrl69SiaTU1JScOfisbKyMkdHRxkZmfPnz+PO8h8cDufGjRuGhoYUCmXWrFmZmZm4EwlIbW3tkSNHNDU15eTkVq9eXVpaijuRSIqJiaFQKGfOnGnXu+C3VVR+W4W6UPv8+bO7uzuFQjE0NLxx40bbb1ITJw8fPrS2/j/27juuqXv9A/j3ZEf2kCEgBCygAiqCg+FWsOJWtHVX0Fqvu63aobe1t7a2tlq1dVXFhbhnARU3uBUBUZClgIjsDUlIfn/kXn6IEAI553xPkuf9x33VlH6/D71Pz+fJyck5/QiCGDduXEpKCu5ytJxYLN64caOZmZmxsfF3332nZR85qSgzM3Pu3LkcDsfS0lLLTqc1kEqlK1euRAjNmzdPcfoQoytXrnh6erJYrODg4OTkZLzFYFFTU/P7779bWlrq6+uvWbNGi0/qUGfVqlV6enoq9g9kq1yjspWhg1p1dfX333+vp6fn6OgYHh6uI5O+EufPn3dzc+PxeCtWrGDCPbq00iCi/ksAACAASURBVLlz55ydnYVC4erVq3XnLFpLXrx4MXXqVIIghgwZkpCQgLscSoSHh+vp6fn7++P66m5aWtr48eMRQh9++OGTJ0+w1MAclZWV69evNzQ0tLW1PXjwoG5OD+0mkUj69+/v5uam/OuNkK1NaES2MnFQO3r0aOfOnQ0MDNavX694aCuQy+USiWTbtm1mZmYWFha7du2CoxiJnj9/PmLECIRQcHBwVlYW7nIYJDY21tvbm81mL1iwQCuH1/j4eEdHR1tb27t379K5b1VV1cqVK/l8fteuXaOioujcmuHevHkTEhLCYrH69ev34MED3OVokvT0dCMjo0WLFrX0A5CtzWJ+tjJrUMvOzh49ejRBELNnz4ZrS5tVXFy8ePFiDoczcOBAhp+t1QhisfiHH34QCAQ9e/ZUcosKXVZfX793714rKysrK6tjx47hLod8DZes7d+/n54dL1686OjoaGxsvHnzZuwfvDLTo0eP/P39ORzO559/rjVPlaDB0aNHCYI4ffp0k9chW1vF5GxlyqAmk8nCwsJMTU0dHR215l4A1ImPj/fy8hIIBGvXrtWg+xAyzePHj3v37i0UCuFfY6tKSkrmzZtHEERQUFCr98jVOFKpdMWKFQihL774gtK7rDX+16iht3SiTUMoiEQi7f4CLLnmzJljYmLy8uVLxR8hW9uEmdnKiEEtJydnyJAhHA5n5cqVGn37YDpJJJL169cLhUIvL6/nz5/jLkfDSCSSb7/9ls1mDx48WNOfLESnmJgYJycnY2Pj8PBw3LWQ7/Dhw0KhMDAwsKSkhIr1o6KirK2tO3XqdPLkSSrW10q5ubnjx48nCOKzzz6DdFBFZWWlq6vrgAEDpFIpZGs7MDBb8Q9qx48fNzU1dXFxgcsR2uH58+deXl56eno7d+7EXYvGSEtL69evn1Ao3LZtGwMvR2C46urqhQsXEgQxY8YM7ftW7O3bt62srJydnck9QNfU1CxdupQgiKlTp1I0BWq3I0eOGBsbd+vWTeNuVYpFQkKCUCicOnUqZGu7MSpbcQ5qVVVVn3zyieIb8vB97HYTi8WrVq1isVjjxo3Tysu9yRUWFmZgYNCzZ8+nT5/irkWDnT9/3sLCQiQSafpzjd6Xk5Pj7e1tamp6+fJlUhZ8+vSpu7u7oaEhbdfAaaWXL18OHDiQz+f/9ttv8P5KuaqqKsXz7iBb1cGcbMU2qKWlpXl4eJiZmb1/2SNoh2vXrtna2jo6OsI7zpbU1tYqnva4YsUKjX6AHUO8efMmMDCQx+P9+eefuGshWU1NzfTp0zkczk8//aTmUhEREfr6+v3798/IyCClNl0mlUp//PFHDoczadKk8vJy3OUwFGQruZiQrXgGtQsXLpiYmPTs2RMOXiQqKChQfHnt77//xl0L4+Tk5PTr18/AwEArv7eIi0wm++mnn1gs1rRp07Tsq3kNv9q8efPad02x4p66BEG0ewXQrBs3big+nk5KSsJdC+NAtlIBe7bSPajJZLJ169axWKxZs2bBtY2kk0gkK1asIAhi8eLFlH55TbPcunXLwsKia9euz549w12LFjp//ryxsbGnp2dOTg7uWkh24sQJfX39QYMGtfXB4UVFRYMHDxYKhfBxJxWys7P79u1rYGBw9uxZ3LUwBWQrpfBmK62Dmlgsnj17NofD2bp1K5376pojR44IhcLRo0fD1QlyufzIkSMCgWDs2LHwWQl10tLSunbtamtrGx8fj7sWksXHx9vb2zs5Oak+5aenp7u6utrZ2cF1CNSpra395JNP2Gz2li1bcNeCH2QrPXBlK32DWnl5eWBgoL6+/rlz52jbVGfduXPHwsLCw8NDx+/VtGnTJhaLBecXadDwH/j58+dx10KygoICf39/ExOTmJiYVn/47t27lpaWHh4e2ne3OQZq+A9clx+FBNlKJyzZStOglpub2717dxsbG3iLSZu0tDQXFxd7e3um3WSZHvX19QsWLGCz2Zs3b8Zdi66oq6ubOXMmh8PZu3cv7lpIVltbO23aNA6Hs23bNiU/du7cOaFQOGrUqIqKCtpq03Hh4eF8Pn/SpEm6eSEgZCv96M9WOga1rKysLl26dO3aVcfP7tCvqKioX79+VlZW2vpQ7ZZIpdKZM2fy+fxTp07hrkW3yGSyr7/+miAI7ftASiaTrV27VnGRSrPnb44ePcrlckNCQuD0Lc2uX79uaGgYGBioa9dmQbbiQnO2Uj6oZWRkiESi7t27w/PFsKisrBw2bJiJicnt27dx10KTurq6SZMmdejQITo6GnctOurnn39GCP373//GXQj5FJc8jh8/vsm3XA8dOsThcD777DO4xRcWDx8+NDc39/f3176bMLcEshUvOrOV2kHt2bNn1tbWffv2hRuxYlRdXT1y5EhDQ8PY2FjctVCurq4uKCjI0NDw+vXruGvRaVu2bCEIYu3atbgLIV9cXJyFhUWPHj0arkLbuXMni8X66quv8Bam4xISEqysrPr27asLsxpkKxPQlq0UDmrp6ek2NjY+Pj7wbTvs6urqxowZY2xs/PDhQ9y1UEgikUycONHQ0FD7bpeviXbt2kUQhPr3jGWg9PT0rl27durU6cGDB/v372exWN999x3uooA8JSXF2tra399fy+7q1wRkK3PQk61UDWo5OTmOjo49evSAeZ8h6urqRo4caW5urq13iZTJZHPnzu3QocO1a9dw1wL+a8uWLQihjRs34i6EfMXFxUOHDjUyMuJwOMuWLcNdDviv58+fW1paDhs2rKamBnctlIBsZRoaspWSQS0/P9/FxcXNza2td4kElFI8AK5Tp07p6em4ayHf/PnzBQLBxYsXcRcC3vHjjz8SBLFv3z7chZDvzJkzXC530aJFuAsB73j48KGRkdG4ceMkEgnuWkgG2cpMVGcr+YNaVVVV3759nZyc8vLySF8cqKmsrKx3794uLi6FhYW4ayHTunXrOBzOmTNncBcCmrF69Woul6tlM/SDBw/09PTmzJkD3x5goNjY2A4dOixYsAB3IWSCbGUySrOV5EGtvr5+woQJpqamz58/J3dlQJa8vDx7e3s/Pz+t+WjgyJEjBEHALbkZSyaTzZw508DAQGueW5CTk2Nrazt48GDdvHeXRjh37hybzd6wYQPuQsgB2cp81GUryYPasmXLeDzelStXyF0WkOvp06fGxsbBwcFacDvvGzdu8Pn8L774AnchQBmxWDx06NBOnTppwf36y8rKPDw8unfvXlJSgrsWoMxvv/1GEMShQ4dwF0ICyFaNQFG2kjmoKb7kdfjwYRLXBBS5fPkyl8v9/vvvcReilszMTDMzs4kTJ2rBxKn1iouLXV1dvb29NfpUbn19/ciRI7Vj4tQF//rXv4RC4aNHj3AXohbIVg1CRbaSNqg9evRIKBR+/fXXZC0IqLZlyxYWi3XhwgXchbRTTU1N7969PTw84NnzmiI1NdXIyGjGjBm4C2m/b775hsvl3rp1C3chQCVSqXTEiBH29vaae/U9ZKvGIT1byRnUioqKRCLR0KFD4dkpmmX27NkmJiZpaWm4C2mPOXPmaG7xOuvs2bMEQezatQt3Ie1x7tw5Fou1Y8cO3IWANigsLHRwcBg2bJgmxhNkq4YiN1sJuVyO1COTyQICAtLS0h48eGBmZqbmaoBO1dXVPj4+LBYrLi5OIBDgLqcNduzY8dlnn509e3bUqFG4awFt880332zcuPHWrVu9e/fGXUsbpKene3l5jR8/fs+ePbhrAW1z7969AQMGrFy58rvvvsNdSxtAtmoukrNV/Vnvp59+4vF4Dx48UH8pQL+0tDRDQ8MlS5bgLqQNnj59KhQKv/nmG9yFgPaQSqVDhw51dnbWoM+sJRJJv379evbsqdEX2OmyP//8k81ma9aT5SBbNRqJ2aruoPbw4UMej6c1X4HWTfv37ycI4vz587gLUUltbW3Pnj29vb3FYjHuWkA75ebmmpmZhYaG4i5EVd9++61AIEhISMBdCGi/sWPH2traFhUV4S5EJZCtWoCsbFVrUKuqqnJ1dR0wYAB8fK7pPv74YwsLizdv3uAupHXLly/X09NLTU3FXQhQy6lTpxBCERERuAtp3a1bt9hs9rZt23AXAtRSUFBgbW09adIk3IW0DrJVa5CSrWoNagsXLjQ1Nc3OzlZnEcAEJSUl9vb248ePx11IK65evcpisfbu3Yu7EECCkJAQMzMzhr89qKysdHR0HDVqFDyBQAtER0drxH0uIFu1BinZ2v5B7fbt2ywW68CBA+psD5jj6tWrBEGcOHECdyEtqq2tdXV1/fDDD3EXAshRWVkpEok++ugj3IUos2zZMiMjo5ycHNyFAHJ8+umn5ubmb9++xV1IiyBbtYz62drOb33W1dV5enp27tw5MjJS3a8zAMb45JNPIiMjk5OTTUxMcNfSjFWrVv31119JSUl2dna4awHkiIyM/PDDD0+fPj127FjctTTj/v37/fv337lz5yeffIK7FkCO8vLy7t27DxkyJCwsDHctzYBs1UrqZmv75rtvvvmmQ4cOFD0oHuBSVFRkaWnJzEu84+PjuVzun3/+ibsQQLKPP/64U6dOpaWluAtpSiKR9OrVa9CgQfChp5Y5f/48QigqKgp3Ic2AbNVKamZrewa11NRUHo+3adOm9m0JmEzxgPO4uDjchbxDJpP17dvXz88PHhWlfd6+fWtmZrZixQrchTT1yy+/CIXCFy9e4C4EkG/ixIldunSpra3FXcg7IFu1mDrZ2p6PPkePHp2RkfHkyRMOh9Oek3iA2UaMGFFcXHzv3j0Wi4W7lv86cODA7Nmz7927p1m3SAUq+vPPP5ctW5aQkODi4oK7lv96+/ats7PzkiVLNOsWqUBFOTk5rq6ua9as+fLLL3HX8v8gW7Vb+7O1rZPd5cuXEULR0dHtmAqBRkhKSuJwOGFhYbgL+a+qqqrOnTvPmzcPdyGAKlKp1MPDIygoCHch/y8kJMTGxkaDbskL2mrt2rUGBgavX7/GXch/QbZqvXZna9vOqNXX1/fq1cvR0fH06dNtmweBRlmwYMGpU6dSU1MNDQ1x14LWrFmzadOm1NRUKysr3LUAqly5cmXo0KGRkZGBgYG4a0FPnjzp3bt3WFjYtGnTcNcCqFJTU9O1a9dhw4bt3r0bdy2QrbqindnaprHu77//5nK5cNGG1nv79q2RkdG6detwFyJ/8+aNnp4e3J5bF4wdO7Znz55MuHI/MDCwb9++TKgEUOrQoUNsNvvp06e4C4Fs1RXty9Y2DGpisVgkEs2fP7+NhQGN9O9//9vIyKi4uBhvGUuWLLG2tq6qqsJbBqBBUlISi8U6duwY3jJiY2MRQpcvX8ZbBqCBTCbr0aPH5MmT8ZYB2apT2pGtbRjUtm3bxuPxMjMz21wX0EBlZWWmpqbffvstxhpyc3OFQuHWrVsx1gDoNHXq1G7duuH9bu/gwYP9/PwwFgDodOLECYIgHj9+jLEGyFad0o5sVXVQq6mpsbW1XbRoUbsKAxrpP//5j76+PsZbeH/66aedO3dm2lfoAXVSUlI4HM6hQ4dwFRATE4MQunbtGq4CAM1kMpm3t/fYsWNxFQDZqoPamq2qfkd03759hYWFq1evbvvFc0BTLV68WCAQbN26FcvueXl5e/fu/eqrr/h8PpYCAP2cnZ0/+uij//znP/J2PTFFfT/++OOwYcMGDhyIZXdAP4Igvv3227NnzyYmJmIpALJVB7U1W1Ua1ORy+ebNm2fOnGltba1GbUDD6OvrL1y4cOvWrVVVVfTvvmXLFiMjo1mzZtG/NcDoyy+/fPbsGZbn5yQkJFy5coVRN9YCNAgKCurWrdtvv/1G/9aQrbqprdmq0qB29uzZlJSUpUuXqlcb0DwLFy6sqanZv38/zftWV1fv3Llz0aJFAoGA5q0BXm5ubgEBARs3bqR/6w0bNri5uQ0bNoz+rQFGBEEsX7780KFDOTk5NG8N2aqz2pStKt1HbcCAAUZGRufOnVO7NqB5Pv300ytXrjx//pzOBxVs3bp15cqVL1++NDc3p21TwBCXL18ePnz4w4cPPT09ads0NzfX0dFx165dM2fOpG1TwBB1dXUikWjWrFnr16+nc1/IVl2mera2Hr1Pnjy5efPmsmXLSKoNaJhly5alpaXR+VGUXC7funXrzJkzYUrTTcOGDevRo8eWLVvo3PSvv/4yMzObOnUqnZsChuDz+QsXLty5c2dtbS1tm0K26jjVs7X1QW3nzp0uLi6DBw8mozCgeVxcXAYNGkTnzbtv3LiRkpIyb9482nYETDN//vyIiIjS0lJ6tpNKpXv37p07dy6Px6NnR8A0ISEhFRUVJ0+epG1HyFYdp3q2tjKo1dTUhIeHh4aGEgRBUm1A84SGhp4/f/7169f0bLdr164+ffr06tWLnu0AA3388ccsFis8PJye7c6fP5+Xlzd79mx6tgMMZGlpGRQUtGvXLnq2g2wFSOVsbWVQi4iIqKqqmjFjBnmFAc0zceJEY2PjsLAwGvYqLi4+ceJEaGgoDXsBxjIyMpo8efL27dvp2W7Xrl0jRoxwcnKiZzvATCEhIdevX09NTaVhL8hWgFTO1lYGtT179owbN87CwoK8woDm4fF406dP37NnDw17HTp0iMvlwqVCICQkJCEh4fHjx1RvlJubGx0dHRISQvVGgOECAgLs7Oz27dtHw16QrQCpnK3KBrWcnJzY2FgY+QFCaNq0aWlpaQ8ePKB6oyNHjowbN05fX5/qjQDD+fr6Ojk5RUREUL3RsWPH9PT0goKCqN4IMBybzf7oo4+OHDlC9f2WIVtBA1WyVdmgdvToUUNDw+HDh5NdGNA8Xl5eXbp0OXr0KKW7ZGdn3759Ozg4mNJdgKaYNGlSeHg41akZERExfvx4uGMfQAgFBwdnZmZS/Y4UshU0UCVbWxnUxo0bBw/wAQqTJ0+m+r3m0aNHjYyM4PgFFIKDg1+9enX//n3qtsjOzr579y68NwAKnp6eH3zwAdXncSFbQWOtZmuLg9rLly/v3bs3efJkagoDmic4OFiRatRtcfz4cTh+gQaK1KT0PO7Ro0eNjY3haQSgQXBw8LFjx6h7RwrZCppoNVtbHNQuXLigr68Pxy/QoGfPniKR6Pz58xSt//bt23v37o0fP56i9YEmGj9+PHUthxC6cOHCqFGj4PZpoMH48eNfvXqVkJBA0fqQraCJVrO1xUEtMjJy6NChcPwCjQUGBkZFRVG0eHR0NIfDgds/gsYCAwNTUlLS09OpWLyioiI2NnbkyJFULA40VK9evSwtLak70EG2gvcpz9bmBzWxWHzt2jU4foEmRo4c+ejRo/z8fCoWj4qK8vf3NzAwoGJxoKH8/PyMjIyio6OpWPzy5ctSqRTObYDGWCzWiBEjKBrUIFtBs5Rna/OD2o0bNyorKwMCAqgsDGieIUOG8Hi8ixcvkr6yTCa7fPkyHL9AE1wud/DgwRSlZlRUlLe3N9zLCjQRGBgYGxtbVlZG+sqQraBZyrO1+UEtJiama9eu9vb2VBYGNI+enp6vr++lS5dIXzk+Pv7t27cjRowgfWWg6QICAq5evSqVSklfOSYmBiITvG/EiBFSqfTmzZukrwzZCpqlPFubH9Ru3brl7+9PZVVAU/n7+8fGxpK+bGxsrImJSffu3UlfGWg6f3//yspK0i/uzs/PT09PhwMdeJ+5ubmrqysVBzrIVtASJdnazKBWV1f34MEDX19fiqsCGsnX1zcjIyMvL4/cZWNjY318fFisVp5pBnRQt27dTE1NSU/NW7dusdnsPn36kLss0A5+fn6ktxxkK1BCSbY2k4uPHj2qra318fGhvjCgefr378/hcEg/hMXFxUHLgWYRBNG/f3/SWy42NtbDw8PQ0JDcZYF28PX1vXfvXl1dHYlrQrYCJZRkazOD2u3bty0sLJycnKgvDGgefX19d3f3uLg4EtfMzs7Ozs6G4xdoia+vL+mD2u3bt/v370/umkBr+Pr61tXVPX78mMQ1IVuBEkqytfkzal5eXgRBUF8Y0EheXl7kHr8ePXpEEISnpyeJawJt4uXllZOTU1BQQNaC9fX1CQkJ3t7eZC0ItEyXLl2MjY1JP9BBtgIlWsrWZga1hIQEDw8P6ksCmsrd3Z3cK7sTEhJEIhF8CAVa4u7ujhBKTEwka8EXL15UV1crlgWgWW5ubiS2HIJsBa1pKVubDmpisTglJQWOX0AJd3f34uLi3NxcshZMTEyE4xdQwsrKysLCgsS3BwkJCWw2u1u3bmQtCLSPh4cHiS0H2Qpa1VK2Nh3Unj17JhaLITWBEor2IPG9JrzRBK0i9/RGYmKis7OzUCgka0GgfRSnN8h6OjtkK2hVS9nadFBLTk7mcrkuLi401QU0kKmpqbW19dOnT0lZTSwWp6WlwR3UgHJubm7JyclkrZacnAwtB5Rzc3OrqKjIyckhZTXIVtCqlrK16aCWmZlpZ2fH5XLpKgxoJEdHx6ysLFKWevXqVX19vaOjIymrAW3l6OiYmZlJ1mqZmZnw5TugnOKgRNaBDrIVqKLZbG06qGVlZTk4ONBTENBcIpGIrNRUNCV0HVDOwcEhPz+/qqqKlNUyMzPhMT5AOWtra4FAQOKBDo5yoFXNZisMaqA9HBwcSHyjaWBgYG5uTspqQFuJRCKE0MuXL9VfqqysrLS0VLEgAC0hCKJz584wqAE6NZutMKiB9lBM/aRcZvvy5UtoOdAqxVxFytsDRfRC14FWiUQist6RQrYCVTSbrU0Htby8PBsbGxqr0h6nT58m/qe2tpbSvX799VfFRra2tpRu1BJbW9vq6uqysjL1l8rLy+vUqZP66+gm3ek6AwMDQ0NDUm4Ko3iaHhzo2kd3Wg4hZGtr+/r1a1KWgmxtN11rufez9Z1Brba2trKyEj6Eap9x48bJ5fKxY8fSsNfnn38ul8t79OhBw17NMjMzQwgVFRWpv1RBQUHHjh3VX0c36VTXmZubk9JyhYWFfD7fwMBA/aV0kK61XGFhofrrQLaqQ6dartlsfWdQU3QkNBNolaJJSDmEFRUVQcsBVZA4qEHLAVWYmZmR1XIIshWooNlsfWdQU3QkNBNolaJJyDqEKd5DAKCcmZkZWe8NoOWAKsg6owbZClTUbLa+M6gVFxcjhExNTeksC2giPT09gUBAyqBWUlICLQdUQdYZteLiYhjUgCrMzMyqqqrq6urUXAeyFaio2Wx9Z1Crrq5W/Bx1RTS+KvDly5dTpkwxMDAwMzObMWNGSUlJVlbW6NGjDQwMrK2tQ0NDKyoqGv+zBQUFixcvdnBw4PF4HTt2nDBhQnx8fMPflUqlERERw4cPt7KyEgqF7u7umzdvlslk7++blZU1ZcoUY2NjMzOzoKCg9PR01esvKipavny5k5MTn8+3tbUdNmzYvn37ampqmvzYmzdvmt3ihx9+UNTg5+eneCUqKkrxSsObrfaVevDgQaKRN2/eqP5LtU+HDh3e/8XboaqqitKWQ9B12tJ1ZLVcdXU1tJxy0HIKHTp0QAip33WQra2ClmvQzIFO3siJEycQQlKpVE4xxVWBEyZMePDgQWVl5f79+xFCI0eOHDt27OPHjysqKrZv344QWrZsWcM/8vr1a3t7e0tLywsXLlRUVCQlJQ0cOFAgEMTFxSl+4Ny5cwihH3/8sbi4uKCg4I8//mCxWIoLA5vsO3bs2Li4uMrKykuXLgmFQm9vbxXLzsvLE4lEVlZW586dKy8vf/Pmzbp16xBCv//+e0tbxMTEGBoaNtlCT0/P19e38Su9e/c2MzNra6k9evSwsbFR/LVUKl2+fPnw4cOLi4tV/HXUZGVl9ccff6i/DofDOXz4sPrrtAq6TtO7btGiRf7+/uqv89FHH02YMEH9dVoFLafpLXfjxg2E0Js3b9RcB7JVOWi5xt7P1ncGtfDwcDabTUMdin9TFy5caHhF8dy969evN7wiEolcXFwa/jhr1iyE0KFDhxpeycvL4/P5vXv3Vvzx3LlzgwYNarzL9OnTuVxuWVlZk33PnTvX8MqkSZMQQgUFBaqUPXv2bIRQRERE4xcDAwPfb6bGW3z88cdNtlC9mZSX2tBMJSUlAQEBS5YsoeFA0MDe3v6XX35Rc5H6+nqE0PHjx0kpSTnoOk3vus8//7xPnz7qrzNhwoSpU6eqv06roOU0veXu3LmDEHr58qWa60C2Kgct19j72frOR591dXU8Hk/ZKTlSeXl5Nfy14k5ajV+xsbFpfAOb06dPs1isoKCghlesrKy6d+/+8OFDxUNzg4KCrl692nj9Hj16SCSS959v6u3t3fDXdnZ2CCEV75Rz6tQphNDIkSMbvxgZGbl06VIlWyjundO+m/GoUmpKSkrfvn1ZLNamTZvYbHY7dmkfHo+n/qUbihWg65SArmtASsshhMRiMbScEtByDfh8PvrfYUodkK3KQcs19v6BjtP4D1KplMPhILoYGho2/DWLxWKz2YoLAhTYbHbDp+B1dXWK+78ZGRm9v86LFy9sbW3Lyso2btx46tSpnJyc0tLShr+ruDigscaLKP7jadhICUUNAoFAldsvNd6CxWKpuIXydZottaSkZNy4cba2tpGRkQcPHpw+fXo7dmkfHo8nFovVXEQqlSKE6HxQMXRdm9ZhVNfxeDyJRKL+OhKJBA50LYGWa0xRDCkHOmi5lkDLNfF+tr5zRo3D4Sg+imIaPp9vbGzM4XAkEsn75wkHDx6MEBo9evS6detCQ0NTU1NlMplcLv/9998RQnIyHnOkqMHIyKi2trbJZZjtwGKxmvzf0Lj724TD4Vy+fPnMmTPu7u6hoaH3799XszbVSSQS9d8jKg5einGNaaDrWoKr6yQSCSkzPRzolNcALddAUT8pBzpoOSU1QMs19n62vjOokfXJAhUmTJgglUpjY2Mbv/jzzz93cMPACgAAIABJREFU7txZKpXW19fHxsZaWVktXry4Y8eOBEEgMr6q08T48eMRQv/880/jF3v16rVs2bI2rWNtbd34SThv3rx59epV+0oyMDCwsbHR19c/e/asvr7+uHHjFI/HoQEpJ/MVnyyo/4aVItB1zcLVdXV1dYqGUROfz4cDnRLQcg3IGtQgW5WDlmvs/Wx9Z1Dj8/n19fXMHPzXr1/v5OT0ySefREZGlpWVFRcX79ix4/vvv//11185HA6bzR40aNCbN29++eWXwsLCmpqaq1evKr7eQm4NIpFo2bJlim/H5OTkfPbZZ3l5eW1tphEjRrx+/Xrr1q2VlZXp6elLliyxsLBQszYHB4fjx48XFBRMmDCBniOCWCxWPzUVp+UZewiDrlOO5q4j69oyUj61pwi0nHI0t5xiC/UPdJCtrdYALdegmWxtfJ5T8S3c6upq1b6a0B63b99uvPvXX3/d5Izi+vXrb9682fiVtWvXKv5ZxX1WHB0duVxux44dR4wYcenSpYaVCwoK5s+fb2dnx+VyLS0tZ8+evWrVKsUKvXv3fn/fJqdtR40apUr9hYWFS5cuFYlEXC7X2tp66tSpqampLf1qLW1RWloaEhJibW0tFAr9/Pzu37/fu3dvxc+sXLlSlXXCw8Mbv/L77783+aemTZtG2v9nLTA1Nd2+fbv663To0GHfvn3qr6MEdJ1cK7pu/vz5Q4cOVX+dWbNmBQUFqb+OEtBycq1oucuXLyOE1L8vA2Rrq6DlGryfrUTjQq9cuTJ06FB4pA9QRYcOHbZv3z5z5kw11+nYseP333+/YMECUqoCWmzWrFklJSVnz55Vc50FCxakpqbGxMSQUhXQYufOnRszZkxNTY1AIFBnHchWoLr3s/Wdjz6bfWw7AO+rqqqqqakh5dF1pqam0HJAFWTlHFlP2gZar7CwUPFIHzXXgWwFKmo2W5sZ1Eh5Bi3QboomISU1yXqAI9B6hYWFpLw3IOvh7kDrkdhyCLIVqKDZbH1nUGv2se26g2jZv//9b9zVMYuiSSA11QddpzqyzqiZm5tDy0HLqaKoqIislkOQrdByKmg2W9+5BZ9AINDT09PZQ5icpLvC6AJFM5mamqq/lJmZWX5+vvrraCjoOtUVFxeT1XJ1dXWVlZX6+vrqr6ZxoOVUR1bLQbbiLkFjNJutrCY/ZGVl1b4HMgCdkpubKxQKjY2N1V+qyZ1vAGhWVVVVaWmptbW1+kspFoGuA63Kzc0lpeUQZCtQTbPZ2nRQc3BwyMrKoq8ooJkyMzPt7e0VNz9Uk729fWZmpvrrAO2maBKRSKT+Uvb29gihly9fqr8U0G4ZGRmktByCbAWqaTZbYVAD7ZGVlUXW8UskElVUVBQXF5OyGtBWikFNMWOpydTU1MjICN4eAOXkcvmrV69gUAN0ajZbYVAD7ZGZmUni8QshBF0HlMvKyurYsaMqj21WhYODA5xRA8rl5+dXV1fDoAbo1Gy2Nh3URCLRq1evmPmQbMAcmZmZigFLffb29iwWKyMjg5TVgLYi8UMohJBIJEpPTydrNaCVFAclsg50kK1AFc1ma9NBrVu3bmKxODU1laaigAYqLS3Nzc3t3r07Kavx+XwnJ6ekpCRSVgPaKikpqVu3bmSt1q1bt6dPn5K1GtBKSUlJ+vr6nTt3JmU1yFbQqpaytZlBjcvlJiQk0FUY0DwJCQlyudzd3Z2sBT08PBITE8laDWilxMREElvO3d09JSWltraWrAWB9lG0HClfmUKQrUAFLWVr00GNz+c7OztDagIlEhMTjY2NbW1tyVrQ3d0djl9AiYKCgvz8fA8PD7IW9PDwkEqlz549I2tBoH0SEhJIbDnIVtCqlrK16aCGEPLw8IDUBEokJiZ6eHiQ9UYTIeTh4ZGRkVFZWUnWgkDLKI5IJKams7OzQCCA1ARKPH36lMSTuAiyFbSmpWxtZlDr2bPnw4cPaakKaKRHjx717NmTxAV79eolk8ni4+NJXBNok0ePHllbW1tYWJC1IIfDcXd3hwMdaElmZmZRUVGPHj1IXBOyFSjXUrY2M6j5+Pjk5eXBTYZAs6qqquLj4319fUlc08HBwcbGJjY2lsQ1gTa5desWuS2HEOrfvz+0HGjJrVu3+Hy+l5cXiWtCtgIllGRrM4Oat7c3n8+HQxho1t27dyUSiY+PD7nLQmqClsjl8tu3b5M+qPn6+j558gQ+cAfNio2N7d27t0AgIHFNyFaghJJsbWZQ4/P5np6ecXFx1BcGNE9sbKyDgwOJ3yRQ8PX1jYuLg2f3gvelpKQUFBSQPqj5+flJpdJ79+6RuyzQDrGxsX5+fuSuCdkKlFCSrc0MagghX1/fW7duUVwV0EixsbGkn05DCPn6+hYVFT1//pz0lYGmu3XrVocOHci9LBIh1KlTJ3t7ezjQgfeVlJQkJydTdKCDlgPNUpKtzQ9qQ4YMSUpKys3NpbIqoHlqampu3rw5dOhQ0lf29PQ0NTW9ePEi6SsDTRcdHT1w4EAul0v6ykOHDoWWA++7dOkSQRD+/v6krwzZCpqlPFubH9QGDRokFAqjo6OpLAxonmvXrtXU1AQEBJC+MpvNHjp0aFRUFOkrA41WX19/5cqVwMBAKhYPDAy8c+dOcXExFYsDzRUVFdW/f39TU1PSV4ZsBc1Snq3ND2pCoXDAgAGQmqCJqKgoDw8PGxsbKhYPDAy8du1adXU1FYsDDXX79u3i4mKKBrXhw4cTBBETE0PF4kBDyeXy6OhoiloOshU0S3m2Nj+oIYRGjhx56dIleIIsaCwqKoqi4xdCKDAwsK6u7tq1axStDzRRZGSko6Ojs7MzFYsbGxv369cvMjKSisWBhkpISHj9+jV1BzrIVvA+5dna4qA2atSo0tJSSE3Q4OnTp6mpqaNGjaJo/U6dOnl6ep4+fZqi9YEmOn36dFBQEHXrjxo16ty5c5CaoMHp06etra179epF0fqQraCJVrO1xUHNycmpd+/eR48epaYwoHkiIiI6depE+l0SGps8efLx48fFYjF1WwANkpiYmJycPGXKFOq2mDJlSlFR0ZUrV6jbAmiWo0ePBgcHs1gthqOaIFtBE61mq7JeDA4OhtQEDY4fPz5lyhTqjl8IoeDg4NLS0qtXr1K3BdAgERERtra2/fv3p24LkUgEqQkaJCQkJCcnBwcHU7oLZCtorNVsVRa6U6dOLS0thfeaACEUHx//7Nkzqo9fIpHI29sbUhMoKM5tvP+IYnIFBwefPHkSUhMghI4ePWpnZ0fpewME2QoaUSVblQ1qnTt37tOnz6FDh8guDGiew4cP29vb9+3bl+qNpkyZcvLkyZqaGqo3Agx3//79Fy9eUPq5p0JwcHBZWRl8EQ/I5fLw8HAa3htAtoIGqmRrKx9jzZkz58SJEyUlJaQWBjSMVCo9cODAnDlzqD5+IYRmzpxZU1Nz/PhxqjcCDLd79+6uXbv26dOH6o3s7e2HDBmye/duqjcCDBcTE5ORkTFnzhwa9oJsBUjlbG1lUJs2bRqHwzl48CCptQENc+bMmbdv386ePZuGvczNzUePHr1r1y4a9gKMVVVVdeTIkXnz5tGzXWho6D///PPq1St6tgPMtHv3bh8fn+7du9OwF2QrQCpnayuDmr6+fnBwMKSmjtu9e3dAQIC9vT0924WGht68eTM5OZme7QADHTlypLa2dtq0afRsN27cODMzs7CwMHq2AwxUVFR0+vTpkJAQeraDbAVI5Wxt/Rt8oaGhiYmJsbGxJBUGNExmZubFixdpO34hhIYNGyYSiXbu3EnbjoBpdu7cOWHChI4dO9KzHY/Hmzlz5u7du+GGajpr3759fD6f6u9LNQbZquNUz9bWB7W+ffv269fv999/J6MwoHl+//13Ozu7MWPG0LYji8VauHDhnj17SktLadsUMMeNGzfu3bu3ePFiOjdduHDh69ev4eJI3SSRSP7444+5c+fq6enRtilkq45TPVtVuifWsmXLTp06lZaWpnZhQMOUlJTs3bt36dKlHA6Hzn3nzZvHYrHgpJpu2rhxo6+vL9W3SGjCwcFh/Pjxv/76K52bAoaIiIjIzc3917/+RfO+kK06q03ZqtKgNnHiRJFItHnzZrVrAxrmzz//ZLFYn3zyCc37GhgYhISE/PHHH3B3K12TkpJy/vz5FStW0L/1F1988fDhw+vXr9O/NcDrt99+Cw4OdnR0pHlfyFad1aZsVWlQY7PZixYt2rt3b0FBgXq1AU1SU1OzdevWBQsWGBoa0r/74sWL3759Gx4eTv/WAKNff/3Vyclp7Nix9G/t7e3t5+f3yy+/0L81wOjSpUuPHz9evnw5/VtDtuqmtmarqo8DCgkJ0dfX37Bhgxq1AQ3z119/lZeXL126FMvunTt3nj59+rp16yQSCZYCAP0yMjLCwsJWrVpF6ZPKlPjqq68uXLhw7949LLsDLNauXRsQEODl5YVld8hWHdTmbJWr7LfffhMKhbm5uar/I0BzVVZWWlpafvHFFxhryMrK4vF4u3fvxlgDoNOsWbO6dOkikUgw1uDv7x8QEICxAECnCxcuIITu3LmDsQbIVp3Sjmxtw6BWU1Nja2u7ZMmSthcGNM/69ev19fXz8/PxljF//vzOnTvX1tbiLQPQIDU1lcPhHDhwAG8Zly9fRghdv34dbxmAHn369Bk9ejTeGiBbdUo7srUNg5pcLt+2bZtAIHj58mUbCwMapqSkxMzM7KuvvsJdiDw7O1sgEGzZsgV3IYByU6ZM6dq1q1QqxV2IfNCgQQMGDMBdBaDciRMnCIJ49OgR7kIgW3VF+7KVkMvlqn+wKhaL3dzcPD09jxw50vaPZYHGWLZs2aFDh1JTU42NjXHXgr788ss9e/akpqaamprirgVQJTY21t/f/+TJk+PGjcNdC7p7927//v2PHTs2ceJE3LUAqtTV1XXv3r1v375MeDg6ZKuOaGe2tnUePHv2LILPBbTas2fPuFzujh07cBfyX+Xl5dbW1osXL8ZdCKBKfX29t7f3kCFDcBfy/2bMmCESiWpqanAXAqjy448/CoVC5pzEgmzVeu3O1radUVMIDAx8+/btgwcPcH0zC1Dqww8/fP369cOHD9lsNu5a/mv37t0LFix4/Pixm5sb7loA+fbs2TNv3rzHjx+7u7vjruW/cnNzXV1dV69e/dVXX+GuBZAvPz/f2dn5888///bbb3HX8v8gW7Vb+7O1HVNhUlISh8NhzhkXQKIzZ84ghK5evYq7kHdIpdJevXoNGzZMJpPhrgWQrLi42MrKauHChbgLaWrdunX6+vrMOeMCSDRjxgx7e/vq6mrchbwDslWLqZOt7RnU5HL5ihUrDA0Nc3Jy2vePA2YqLy+3s7ObMWMG7kKacefOHTabvXfvXtyFAJLNnTvXysqquLgYdyFN1dbWdu3adeTIkbgLASSLiYkhCOLUqVO4C2kGZKtWUjNb2zmoVVVVOTk5BQUFte8fB8y0cOFCMzMz7LfkaMnixYtNTU3fvHmDuxBAmmvXrhEEcezYMdyFNO/69esEQRw+fBh3IYA0ivCaPHky7kKaB9mqldTM1nYOanK5/MqVKwRBnDhxot0rAEa5c+cOi8XCfhcrJSorK0Ui0dSpU3EXAshRW1vr6uo6atQo3IUoM3/+fHNz87dv3+IuBJBj+fLlRkZGTD5lBdmqZdTP1vYPanK5fM6cOZaWlow9AQNUV1lZ6ezsHBgYiLuQVvzzzz8IIcaegAFtsnTpUiMjo+zsbNyFKFNaWmpjYxMcHIy7EECCGzdusNls5j/sBLJVa5CSrWoNaqWlpSKRKDAwEC7x1nQhISEmJiavXr3CXUjrPv30U2NjY7jEW9NFR0cTBMHkM7gNLl26xGKx9u3bh7sQoJbS0lIHB4eRI0cyP7AgW7UGKdmq1qAml8tv3brFZrO3bdum5joAo1OnTiGEIiIicBeikqqqKldX1wEDBjDhFvagfQoKCqytrSdNmoS7EFWtWLFCX18/NTUVdyGg/T7++GMLCwtNucgVslULkJWt6g5qcrl8zZo1QqEwKSlJ/aUA/bKzs83MzEJCQnAX0gYPHz7k8Xjr16/HXQhoD5lMNnr0aHt7+5KSEty1qKq2trZnz579+vUTi8W4awHtERYWRhBEVFQU7kLaALJVo5GYrSQMahKJxNfX18XFpaysTP3VAJ3q6ur69evXtWvXyspK3LW0za+//srhcK5cuYK7ENBmP/74I5fLvXnzJu5C2ubp06f6+vqLFi3CXQhosydPnujp6S1fvhx3IW0D2aq5yM1WEgY1uVyel5fXqVOnMWPGwAfqmmX+/Pn6+vpPnz7FXUibyWSy4OBgMzOzzMxM3LWANrh8+TKbzd60aRPuQtrj5MmTBEHAzfw0S0lJSZcuXXx8fOrq6nDX0maQrRqK3GwlZ1CTy+VxcXE8Hu8///kPWQsCqh04cIAgiKNHj+IupJ0qKiq6d+/ep0+f2tpa3LUAlbx8+dLc3Fyjb7CyfPlygUDw8OFD3IUAlchksvHjx1tZWeXm5uKupZ0gWzUO6dlK2qAml8s3bdrEZrPPnDlD4pqAIrGxsQKB4Msvv8RdiFqeP39uaGg4a9YseLvJfOXl5T179nRzc9O4z9kbk0gkAwcOFIlEmnJNuo5bvXo1j8eLjY3FXYhaIFs1CBXZSuagJpfLFyxYIBQK79y5Q+6ygFzp6ekWFhYffvihRCLBXYu6IiMjORzOd999h7sQoIxUKh0zZoy5ufmLFy9w16KuwsJCZ2dnLy8vjZ44dcHu3bsRQtu3b8ddCAkgWzUCRdlK8qAmkUgCAgKsrKyysrLIXRmQpaioyMXFxdPTs6KiAnct5Ni1axdBEGFhYbgLAS1auHChUCiMi4vDXQg50tLSOnbsGBQUBPeIYawrV67weLw1a9bgLoQckK3MR122kjyoyeXysrIyDw+P7t27FxUVkb44UFNVVZWfn5+9vX1eXh7uWsj05Zdf8ni8y5cv4y4ENGP9+vUsFouZz8But5s3bwoEgsWLF+MuBDTj0aNHhoaG06dP16aLIiBbmYzSbCV/UJPL5dnZ2fb29t7e3vClYkapq6sLDAw0NzfXxK95KldfX//xxx/r6elp+sUo2mfbtm0EQWzduhV3IeQ7evQom83+5ptvcBcC3pGcnNyxY8dhw4Zp4tc8lYNsZSaqs5WSQU0ul6elpXXq1MnHx0drPl/TdFKpNDg42NDQ8P79+7hroYRUKp08ebKRkZG2/oKa6MCBAywW68cff8RdCFXCwsJYLBbce5k5Xr58aW9v369fP22NHshWpqEhW6ka1ORyeVJSkrm5+YgRI2pqaqjbBahCKpXOmDGjQ4cOGneX0Tapra0dPny4ubl5YmIi7lqA/NixYxwOZ/Xq1bgLodaWLVsIgvjjjz9wFwLkr169cnR09PT0LC0txV0LhSBbmYOebKVwUJPL5Q8ePDAxMRkyZAjM/hiJxeKpU6cKhcKLFy/iroVyVVVVAwYMMDc3f/DgAe5adNqBAwc4HI6OXML1888/EwSxYcMG3IXotLS0NAcHBzc3t4KCAty1UA6ylQloy1ZqBzW5XJ6UlGRtbe3t7Q3XP2JRW1s7fvx4PT29S5cu4a6FJlVVVQEBAUZGRrdu3cJdi47avn07i8VauXIl7kLos23bNl37lRnl2bNnNjY2vXv31oUpTQGyFS86s5XyQU3+v/+EPD093759S8N2oEF5efmQIUNMTEx07e47tbW148aN06nxlDk2bNhAEMQPP/yAuxC67dq1i81mL1++XJu+aagRHjx4YG5u7u/vr2uX2EO24kJzttIxqMnl8oyMDCcnJycnp+fPn9OzI8jJyenZs6elpWV8fDzuWjCQSCTTpk3j8Xj79u3DXYuukEqlixYtYrFYmzdvxl0LHocPH+bxeFOnToXHmtHm/Pnz+vr6AQEBVVVVuGvBALKVfvRnK02DmlwuLyws9PPzMzExuXbtGm2b6qzExMTOnTt36dJFC24E324ymWzt2rUIocWLF8NJDqpVVlaOGTOGz+eHh4fjrgWnmJgYY2Pj/v37w0kOGuzatYvD4cyePVssFuOuBRvIVjphyVb6BjW5XF5dXT1hwgQ+n3/gwAE699U1//zzj6Gh4aBBg4qLi3HXgt/OnTs5HM6MGTPgG1LUycnJ8fLyMjc3h/vYyeXypKQke3t7Z2fnlJQU3LVoLalUunz5ct38kP19kK30wJWttA5qcrm8vr5+xYoVCKElS5bo8nsgishksnXr1rFYrJkzZ2rfzR7bLTIy0sjIyMvLC56+QoXr169bWlq6uLjo8unbJl6/fu3t7W1kZHT69GnctWihgoKCoUOHCgSCgwcP4q6FKSBbKYU3W+ke1BTCw8P19PT8/Pxev36NpQCtVFZWNmHCBA6H89NPP+GuhXFevHjh7u5uZmYWHR2NuxatsmPHDi6XO3r06JKSEty1MEttbe28efMIgli5ciU8EpREDx8+dHBwsLOzu3v3Lu5aGAeylQrYsxXPoCaXyxMSEj744INOnTrFxMTgqkGb3L9/v0uXLp06dYJ7UrSksrJy6tSpbDb7+++/h+BUX0lJSXBwMJvNXr9+PVwC2JJdu3bx+fzhw4dr2dN1sZDJZFu3buXz+SNGjCgsLMRdDkNBtpKLCdmKbVCTy+UlJSUTJ05ksVhffvklfE7XbvX19evXr+dyuUOHDoUwaNUff/whEAj8/PwyMzNx16LBrl+/3rlzZ2tr68uXL+Ouhenu37/v5OTUsWPHM2fO4K5Fg+Xn5wcFBbHZ7LVr18IbLeUgW0nBnGzFOagp7N69W19f39PT89mzZ7hr0TyvXr0aPHgwj8fbsGFDfX097nI0Q0JCgpubm5GREVzg0g5isfirr75is9ljxozRnZuLqqm8vHz27NkIoU8//VQ37yKhpn/++cfKysrBwUG7H4JHLshWdTAqW/EPanK5PCMjw9fXVyAQrF27FsZ/FclksrCwMFNTU1dX14cPH+IuR8PU1NSsXLmSxWIFBQW9evUKdzka4/Hjx7179xYKhZs2bYKPO9vq+PHjpqamjo6OuvAwN7KUlJQoLvWbPHkyfI29rSBb24GB2cqIQU0ul0skkk2bNunp6Xl4eMAloq168eLFkCFDFM9SrKysxF2Oprpx44aLi4uRkdGmTZuwv2diuKqqqpUrV7LZbH9/f3iD3m55eXmTJk1CCE2ePBnOR7bq7NmzNjY2VlZWYWFhuGvRVJCtbcLMbGXKoKaQmpo6aNAgNpu9ePFiePPUrMrKym+++YbP5/fu3fvRo0e4y9F41dXVX375JYfD8fPzg3+fLTlx4oSDg4OJicnu3bvhRJr6jh8/bm1tbWlpuW/fPniH0KyUlJQPP/yQIIjQ0FD4QrH6IFtbxeRsZdagJpfLZTLZ7t27LSwszM3N//zzT7hotIFMJjt48KCtra2RkdHGjRslEgnuirTHo0eP+vfvz2KxQkND8/PzcZfDIAkJCUOGDCEIYtq0afBVFRKVlJQsWLCAzWZ7e3vHxcXhLodBSktLP//8cx6P5+7ufv36ddzlaA/I1pYwP1sZN6gplJaWrlixQvHfamRkJO5y8Lt165aPjw+LxQoJCYFJggqN/1v9+eef4Yrv169fwyRBtSdPnijm4I8//jg9PR13OZiJxeLt27dbWFiYmZlt27aNgXmpBSBbm9CIbGXooKaQkpIyZswYhJCPj4/O3hLm7t27AQEBCKFBgwYx7Xys9qmsrFyzZo2enp6VldXmzZt186lT+fn5y5cvFwqFtra2e/fuhc/mqHby5MkPPviAy+WGhoa+fPkSdzkYSCSSPXv2iEQiHo+3ZMkS+GyOapCtco3KVkYPagp37twZMWKE4t+mTt206c6dO6NHj0YI9e/fX6d+cewaTypbt27VnbNreXl5K1euVMypmzZt0s05FQuJRPL33387ODjw+fyFCxfqzk3+xGJxWFiYYk4NCQmBh7zRCbJVU7JVAwY1hZs3bw4ePBgh1KtXr4MHD2rxs8zq6+vPnDnj7++PEOrTp8+FCxdwV6SjcnNz//WvfwkEAnNz8zVr1jD2rDgpkpOTQ0JC+Hy+hYXFhg0bdGc2ZZS6urq//vqrc+fOHA5nypQp9+/fx10RhUpLSzds2GBra8vlcmfNmpWWloa7Ih0F2cp8GjOoKdy/f3/KlCkcDsfOzm79+vVadnVzcXHxli1bXFxcCIIICgq6evUq7oqAPD8/f82aNebm5gKBICQk5N69e7grIpNUKj1//nxQUBBBEC4uLjt27ICzaNiJxeJDhw55enoihAYOHBgREaFld8BKTk5eunSpoaGhoaHh8uXLdfPTXqaBbGUyDRvUFDIzM5ctW2ZiYsLlcidMmPDPP/9o9GU0Mpns2rVr06dPFwgE+vr6oaGhycnJuIsC76iurv7rr7+6d++OEOrZs+fWrVs1/ZYBmZmZ3377ra2tLUEQQ4YMOXPmjEb/R6SVYmJiRo8ezWazO3bsuGLFCk2/fV1VVdXevXt9fX0RQiKRaMOGDaWlpbiLAu+AbGUmjRzUFGpqag4cODBw4ECCIGxsbJYuXRoXF6dZN3l6/Pjx6tWrHR0dEULe3t47duwoLy/HXRRQJjY2ds6cOXp6ekKhcOLEiREREZr1KWF+fv62bdsGDhzIYrGsrKxWrVr14sUL3EUBZXJycr7//nsHBwfF5zUbN27UrGdp1NbWnj17dvr06QYGBnw+Pzg4+NKlSxod/1oPspVpNHhQa5CSkrJmzRoXFxeEkL29/YoVK65cucLYD9qlUmlcXNzXX3/t7OysKPiLL7548uQJ7rpAG5SVle3atWvYsGFsNltPT2/KlCnh4eGFhYW462pRRkbGn3/+OXToUDabra+v/9FHH505cwZuf6BB6uvrL168OGfOHBMTE4IgfHx8Nm7cyORzbGUcijcPAAAgAElEQVRlZSdPnpw9e7axsTFBEL6+vn/88Qc8jEGzQLYyBCGXy5G2ePLkSURExIkTJ1JTUw0MDIYNGxYYGDhkyJAuXbrgLg1lZ2dfuXIlKirq4sWLxcXF9vb2EyZMCA4O7tu3L0EQuKsD7fT27dsTJ04cO3ZM8axob2/vkSNHDh8+3MvLi8vl4q2toqIiNjY2Ojo6MjIyJSVFX18/MDAwODh41KhRHTp0wFsbaDexWHzx4sWjR49euHChuLjYwcFh5MiRgYGB/v7+JiYmeGurr69/8uTJpUuXoqKiYmNj6+vr+/btO2nSpMmTJ9vZ2eGtDagDshUvrRrUGmRkZERFRUVGRl69erWqqsrKysrHx8fPz69fv37u7u76+vo01FBbW/v06dPbt2/HxcXdunUrOztbIBD4+/sHBgaOHDmya9euNNQAaFNeXn758uWoqKioqKjs7GyhUOjt7e3n5+fj4+Pp6WltbU1DDTKZLDMz8969e4qWS0xMrK+vd3d3V7Scr68vj8ejoQxAj/r6+rt370ZGRkZFRSnuAtWtWzdfX19fX98+ffp88MEHbDabhjKKiooePXoUFxcXGxt7586diooKCwuLgIAAxTsWc3NzGmoAtIFsxUI7B7UGYrH4wYMHiv874+LiCgoKWCyWSCTy8PBwd3d3cXFxcHAQiUTKc1QqlVZWVhobGyv5mbdv32ZlZWVmZr548SIhISExMfHFixf19fXGxsY+Pj6KVvb29oYzGbogNTW1oeWeP38ul8vNzc0VLdetWzdHR0cHB4fOnTsrH5sKCwuVh1x1dXVmZmZmZmZ6evrTp0+fPHmSnJxcWVnJ5XJ79eqlaDlfX18rKyuyfz/AOEVFRYpRKTY29sGDB7W1tQKBoHv37u7u7m5ubl26dBGJRA4ODoaGhkoWabXlpFJpTk6OouuePXumONDl5eUhhBwdHX3/p1u3biwWi9xfEDANZCudtHxQayI9PV3x/3RiYmJCQkJmZqZEIkEICQQCkUhkbm5ubm5uZmZmYWFhaGgoEAiEQiFCKCMjo7i42MvLCyFUV1dXXV1dUVFRVFRUUFBQWFhYWFiYlZVVVVWFEGKz2fb29h4eHm5ubh4eHh4eHh988AEcs3RZcXFxfHx8UlJSYmLikydPnj9/XlFRgRBis9mdOnWysbExMzMzMzNTNB6XyzUyMkII8Xi83bt3z507VyKRyGSysrKyurq6oqKiwsJCRePl5OS8fftWsUXHjh3d3NwUkdyjRw83NzftPmYB5cRicVJSUkJCQsP/KmYphJCZmZmtra3iaY+KxhMKhQYGBhwOh81mh4eHT5w4UXEerqKiQiKRKPpNIS8vLzs7WyqVIoSEQqGrq6u7u7u7u3uPHj08PDwsLS1x/s4AN8hWSunWoNZEfX19Tk6OYlrPyspSHI8KCwsLCgrKy8sVfYMQUnyHXHH9h1AoFAgEBgYGinBVNJ+9vb3i3YOdnR32K5MAwxUWFir6LTMz882bN0WNSKXS0tJShFBlZaVEIunQoQOfz2ez2YaGhnw+3+x/zM3NbWxsFOdIRCIRPR83AM1VU1OjOA2WlZWVm5tbUFDQ0HI1NTWKZpNKpRUVFYpmQwgZGhpyOByzRiwtLRX95uDgAKdpgXKQreTS6UFNFbW1tebm5tXV1a9evbK1tcVdDtAJU6dOjYiI2Lx58+LFi3HXAnTCqVOnJkyY0Ldv3zt37uCuBegEyFbV6cqZw3Y7f/58dXU1m80+evQo7lqATqiqqjpz5gxCaP/+/bhrAbri8OHDBEHcu3fv1atXuGsBOgGyVXUwqLXiwIEDbDa7vr4+LCwMdy1AJ5w5c6aurg4h9PDhw7S0NNzlAO1XUVFx7tw5uVzO4XDCw8NxlwN0AmSr6mBQU6a8vDwyMlIqlcrl8oSEhNTUVNwVAe138OBBxUWyXC4X3msCGpw+fVpx6bdEIoHUBDSAbG0TGNSUOX78uEwmU/w1j8eD95qAaiUlJYoH7CCEJBLJ3r17cVcEtN/Bgwcbbg367Nmzp0+f4q0HaD3I1jaBQU2ZAwcONPy1WCyG1ARUO3bsWMPxCyGUlpaWkJCAsR6g9QoKCmJiYhTvDRBCPB7vyJEjeEsCWg+ytU1gUGvRmzdvbty40XD8Qgi9fPny0aNHGEsCWq/x8QshxOVy4b0moNSxY8ca/1EsFoeFhcHdAAB1IFvbCga1FkVERDS5nx6coQWUev36dVxcXOMzaoprhiA1AXX279/fpMGys7Pv37+Pqx6g9SBb2woGtRbt37+/8ciP/vdes3GOAkCi8PDw9++1nZeXd/v2bSz1AK2XnZ197969Jsc0SE1AKcjWtoJBrXkZGRmPHz9+/0xGQUHBzZs3sZQEtN77xy8En34CKh0+fPj9Z7eLxeIDBw6834oAqA+ytR1gUGve4cOHORzO+69zudzDhw/TXw/QeorvDbx//JJIJAcPHlQ8YxEAcjX73gAhVFRUdO3aNdrLAdoPsrUdYFBr3oEDBxQ3FmpCIpGEh4eLxWL6SwLa7dChQy09zK60tDQmJobmeoDWe/78eXJycrNXQEJqAopAtrYDDGrNUNx/j8Ph8P+Hx+Mp/oLL5VZUVFy8eBF3jUDbHDx4sL6+/v2W4/P5BEHAp5+AdIpRrNmWk8lkx48fVzwhAwCyQLa2TzNnIEFZWdnKlSsb/hgVFVVeXh4cHNzwCnwLD5CrrKxs4sSJDX/MzMw8evTo0qVL+Xy+4hVDQ0NMpQGtZWVl1fhAt2nTpsGDB/fo0aPhlTdv3tjb2+MoDWgnyNb2IeDfS6tCQ0NfvXoVHR2NuxCgK6KjowMDA0tLS42MjHDXAnSFsbHxL7/8EhoairsQoCsgW1UEH30CAAAAADAUDGoAAAAAAAwFgxoAAAAAAEPBoAYAAAAAwFAwqAEAAAAAMBQMagAAAAAADAWDGgAAAAAAQ8GgBgAAAADAUDCoAQAAAAAwFAxqAAAAAAAMBYMaAAAAAABDwaAGAAAAAMBQMKgBAAAAADAUDGoAAAAAAAwFgxoAAAAAAEPBoAYAAAAAwFAwqAEAAAAAMBQMagAAAAAADAWDGgAAAAAAQ8GgBgAAAADAUDCoAQAAAAAwFAxqAAAAAAAMBYMaAAAAAABDwaAGAAAAAMBQMKgBAAAAADAUDGoAAAAAAAwFgxoAAAAAAEPBoAYAAAAAwFAwqAEAAAAAMBQMagAAAAAADAWDGgAAAAAAQ3FwF9BON27cePbsGT17ZWRklJSU7Nixg57t7OzsPvzwQ3r2AqrLycm5cOECPXulpKR06NBh3759AoGAnh3nzJnD4/Ho2Quobt++fXV1dfTsxWaz4+LiZDIZPdsNHDjQ1dWVnr2A6iBbGYiQy+W4a2iPkJCQsLAwfX193IWQrLq6euDAgRcvXsRdCGgqOjo6MDDQ2NgYdyEkk0qllZWVpaWlRkZGuGsBTRkZGUmlUu2boUtLS3fu3BkaGoq7ENAUZCsDaeoZNYTQ4MGDNfRfuhIhISGvXr3CXQVoUVZWlpYNNIoBFHcVoEWbNm3SvoFGy/4j0jKQrUwD16gBAAAAADAUDGoAAAAAAAwFgxoAAAAAAEPBoAYAAAAAwFAwqAEAAAAAMBQMagAAAAAADAWDGgAAAAAAQ8GgBgAAAADAUDCoAQAAAAAwFAxqAAAAAAAMBYMaAAAAAABDwaAGAAAAAMBQMKgBAAAAADCUrgxqL1++HDNmTHl5ecMr8fHxo0aNMjY2NjAwGDZsWGxsbPtWVr7OqlWrIiIi1CodaCYqWk4ul8fGxi5cuNDZ2ZnP51tYWPj5+R08eFAulzf8DLSczqLuKIcQ+ueff5ydnTkczvt/C1pOl1HRdSUlJdu3bx8yZIipqalQKPzggw+mTZv25MmTxj+jU12nE4NafHy8l5fXiBEjDA0NFa/cvXvXx8fHwMDg2bNnmZmZjo6OgwYNunjxYltXbnWd0NDQ1atXf/vtt6T9MkATUNRyKSkpfn5+qampx48fLysru3PnTufOnWfMmPHFF180/Ay0nG6i7iiXnp4+ZsyY1atX5+fnN/sD0HI6i6Ku++KLLxYtWjR27Njk5OSioqI9e/bEx8f37t379OnTDT+jW10n10xz584dPny4Kj9ZVlZma2s7f/78hlfq6+u7d+9ubW1dXV2teEUqlbq4uNjZ2dXW1qpeg4rrxMfHEwQRERGhypqq/16AZlFRUQih0tLSVn+SupZ79uwZh8MpLi5ueKWurs7MzIzP57e75VT/vQD9DA0Nd+7c2eqPUddycrn8o48+Wr9+vUQisbGxYbPZzf5Mm1pOrvLvBejHhGydO3fuvHnzGr8SHx+PEPrggw+avKgj2ar9Z9Q2bNjw5s2bNWvWNLxy48aNp0+fTpo0SSgUKl5hs9kfffRRdnb2+fPnVV9ZxXV69OgxadKkFStWSKVSMn4hwHTUtZyrq6tEIjExMWl4hcfj2dnZ1dXV1dbWNrwILadrqGs5hNDff/+9atWqZj/0bAAtp4Oo67rdu3fv2LGj8Ss9evQQCoXp6enyRpd56E7XafmgJpfLd+/e3bdv306dOjW8eOXKFYSQl5dX459U/DEmJkb1xVVfZ/z48Tk5ORcuXGjzLwA0DaUt977S0tIXL1706tXLyMio8evQcrqD6pZrCF3loOV0Cs0HuqqqqpqaGjc3N4IgGr+uI12n5YPakydP8vPze/To0fjF58+fI4RsbW0bv2hjY4MQSk1NVX1x1dfp2bMnQig6OrpNxQNNRGnLNVZeXh4bGztmzBgrK6v9+/c3+bvQcrqDtpZTDlpOp9DcdceOHUMIff31101e15Gu0/JBLSkpCb3XN6WlpQghPT29xi/q6+sjhEpKSlRfXPV1FJ2qKAZoN0pbrsEPP/xgZGTk5+fHZrNPnTrl5ubW5Aeg5XQHPS3XKmg5nUJn1+Xn569atSokJCQ4OLjJ39KRrtPyQS0vLw8h1ORToWYpPvluclq1HZpdx9DQkCAIRTFAu9HTct98801dXd2zZ89cXV179eq1bt26Jj8ALac76D/KNQtaTqfQ1nVFRUWBgYGDBg3avn37+39XR7pOywc1xRXWXC638YvGxsYIoaqqqsYvKv6o+FsqatM6HA6npqZG9cWBhqK05Rrj8Xiurq5//fXXmDFj1qxZc/ny5SY/AC2nI2hruVZBy+kOerquqqoqICCgW7duhw4dYrPZzf6MLnSdlg9qAoEAISSRSBq/6OrqihDKyclp/GJubi5CyNnZWfXF27SOVCpV8ZpcoNEobblmjR49GiH0/peqoOV0BP0t1xJoOd1BQ9dJpdLJk/+PvfsOiOLo+wA+e8cBB0dToiKKKAoIIgISFDUUxRLF3lCJiSVGjTGWxIqxYU3TJHafiA1UsKEgICigIoKKQapKURAQpZeDK/v+cc/LQ2hS9nb29n6fv+Q8Zr7njTu/m93bmWFoaOjj49NclYaUY9SxvFAzMDBACJWWltZ/0MXFBSH0+PHj+g/Kfhw5cmTrG299O2VlZSRJysIAdpPrkGuSmpoaQqioqKj+gzDklAf9Q65JMOSUCg2jbsmSJTU1NRcvXqy7NUzfvn0fPnxY/zlKMupYXqjJLrJuUOA7OTlZWFj4+/vX3XpKIpH4+fn17Nlz/PjxrW+89e3IPlI0vuIbsI9ch9zatWvnzZvX4MHg4GCEkL29ff0HYcgpD7kOudaDIadU5D3qtm7dmpSUdO3aNdkH0eYoyahjeaFmbW3dpUuXBnuEcTickydPFhUVffXVV/n5+R8+fFi+fPmLFy+OHz8uW86VmTdvHkEQmZmZzTXeynYQQrK7Ko8ePZrq1wcYR65DDiF0/vz57du3Z2Vl1dTUZGVlrVu37uzZs3Z2dosWLar/NBhyykPeQ66VYMgpFbmOulOnTm3bti02NlZLS4uo59WrVw2eqSSjjuWFGkEQixYtio2Nffv2bf3HhwwZ8uDBg9LSUjMzM2Nj4xcvXty9e3fMmDH1n5OXlycQCIyMjFpovzXtIISuXLliaGgopw+ygFHkOuS2bNly/PjxBw8euLi4aGtrW1lZhYeH7969Ozo6usFVGjDklIe8j3I3btyQTZO5ubkSiUT25xMnTjR4Ggw5pSLXUefv79/KGMoy6nDsW0WB1u/bVVJSYmhoWH8/stYoLi7m8/mLFi1qV7p/ke1H5uvr25onK/R+ZOzW+j0xFWvIwV6fTNbKPTEVa8iRsNcng8HcykAsX1FDCOno6AQGBvr7+//111+t/BWSJL/77jttbe3Gt6dqq4yMjKlTp27YsGH27NkdbAooChhygGYw5AD9YNTRhv2FGkLIxsYmPj4+ODi4rKysNc8vKCjIyMgIDw/v1q1bB7s+evSot7e3t7d3B9sBigWGHKAZDDlAPxh19FDBHYAmxsbGjW801Zxu3brdu3ePkn737t1LSTtA4cCQAzSDIQfoB6OOBkqxogYAAAAAoIigUAMAAAAAYCgo1AAAAAAAGAoKNQAAAAAAhoJCDQAAAACAoaBQAwAAAABgKCjUAAAAAAAYCgo1AAAAAACGgkINAAAAAIChoFADAAAAAGAoKNQAAAAAABgKCjUAAAAAAIaCQg0AAAAAgKGgUGsVsViMOwJQLjDkAM1gyAH6wahrDRXcAdovJyfn6NGjNHT05s2b4uLigQMH0tBXamqqhoYGDR2B9jl16pS6ujoNHQUFBX3++ec0dJScnExDL6DdoqKipFIpDR2FhIS4urryeDwa+qqtraWhF9A+MLcyjaIWapqamnl5eevXr6ehr+rqapIkaXuPXV1d6ekItAmPx9PV1d26dSsNfUkkkoqKisjISIIgaOhOV1eXno5AW+np6d24cePGjRs09FVWVhYaGkpPoaaurq6mpkZDR6CtYG5lIIIkSdwZGI0kye7du5eUlBQWFgoEAtxxgFJYs2bNr7/+euHChZkzZ+LOApTCw4cPhw4dOmXKlMuXL+POApQCzK2tB9eofcT9+/fz8/NramquX7+OOwtQClKp9MyZMwihs2fP4s4ClIWvry9C6ObNm2VlZbizAKUAc2vrQaH2EefPn1dVVeVwOLK5EwB5u3v3bmFhIUIoODi4qKgIdxzAfhKJ5Ny5cwghsVh85coV3HGAUoC5tfWgUGuJWCz28/Orra2VSCRhYWEfPnzAnQiw3/nz52XXCZEkefXqVdxxAPtFRETUHdxg1gQ0gLm1TaBQa0loaGhxcXHdj/7+/hjDAGVQW1t76dIlkUiEECJJEmZNQAPZ2gZCSCqV3r17t6CgAHciwHIwt7YJFGotqVvbQAiRJHn69Gm8eQDr3bp1q+4iIalUGhkZmZubizcSYDehUOjv71//fhkwawJ5g7m1TaBQa5ZQKLxy5YpsbQMhJJVKY2JisrOz8aYC7Hbu3Ln690fgcrkwawK5CgoKqqysrPtRKpXCrAnkCubWtoJCrVnXrl2rrq6u/4iKisqlS5dw5QGsV1lZef369brjF0JIIpH4+PhgjARY79y5c1wut+5HkiTj4uKysrLwJQIsB3NrW0Gh1qwGxy+EkFgshs+aQH6uXr3a4I7tJEk+ffr0xYsXuCIBdisvL79x40aDbXxUVFT8/PxwRQKsB3NrW0Gh1rSSkpJbt241OH6RJJmYmAhb7gA5OXv2LIfT8L8kj8e7cOECljyA9S5fvtx4s0WRSATruEBOYG5tByjUmubv79/k/no8Hu/ixYv05wGsV1RUdPv27SZnzb///htLJMB6Z86caXL3sNTU1OfPn9OfB7AezK3tAIVa05q7LQLMmkBOLl261Nx+bhkZGc+ePaM5D2C9wsLCu3fvSiSSxn+lqqoKZz+BPMDc2g5QqDUhLy/v3r17TR6/EEKvX7+Oj4+nORJgvbNnzzb5QRMhRBCEbIcfACh08eLF5o5ytbW1p0+fhp2gAbVgbm0fFdwBmCgmJsbKyqpuMBUVFUkkkk8++UT2I4fDefTo0eDBg/EFBGxTUlJSXV1taWkp+1EoFBYWFhoaGtZdspaeno4vHWCnpKQkKyurumosJydHT09PU1NT9iOPx3v58mW/fv3wBQRsA3Nr+xDwmemjFi9e/Pr165CQENxBgLIICQkZO3ZsSUmJjo4O7ixAWejq6u7fv3/x4sW4gwBlAXNrK8GpTwAAAAAAhoJCDQAAAACAoaBQAwAAAABgKCjUAAAAAAAYCgo1AAAAAACGgkINAAAAAIChoFADAAAAAGAoKNQAAAAAABgKCjUAAAAAAIaCQg0AAAAAgKGgUAMAAAAAYCgo1AAAAAAAGAoKNQAAAAAAhoJCDQAAAACAoaBQAwAAAABgKCjUAAAAAAAYCgo1AAAAAACGgkINAAAAAIChoFADAAAAAGAoKNQAAAAAABgKCjUAAAAAAIaCQg0AAAAAgKGgUAMAAAAAYCgo1AAAAAAAGAoKNQAAAAAAhoJCDQAAAACAoaBQAwAAAABgKCjUAAAAAAAYCgo1AAAAAACGgkINAAAAAIChoFADAAAAAGAoFdwBmCg/Pz81NfXt27cVFRXFxcUpKSllZWV79+7V0dERCATdunUzMzPr2bMn7piAPSoqKtLS0rKzs9+/f19ZWZmcnKyrq/vbb7917txZU1NTX1+/X79+JiYmqqqquJMClhCLxZmZmenp6YWFhZWVlRUVFWpqamFhYWVlZVpaWnp6er169TI1NdXV1cWdFLAHzK3tQ5AkiTsDfiUlJVFRUREREQ8ePEhPTy8tLUUI8Xg8gUCgq6urqanJ4XAqKipKSkoqKytramoQQpqamqampg4ODq6urs7Ozp988gnm1wAUilgsjouLu3PnTmRkZHJyck5Ojuxx2XgTCAQCgUA23ioqKioqKhBCKioqxsbG1tbWLi4uLi4uFhYWWF8BUDyvXr26c+fOnTt3njx58urVK5FIhBDS0NCQjTddXd2qqirZkCspKZFNDV27drWwsBgxYoSrq+uQIUPU1NRwvwigSGBupYRSF2qFhYW+vr7nz5+Pj48nSdLa2vqzzz7r37+/mZmZmZmZgYFBc7+VlpaWlpaWmpp67969+Ph4iURibW09a9asefPm9ejRg+ZXARSISCQKCgo6c+ZMaGhoeXm5oaGhq6vrwIEDZUOud+/ePB6v8W9VV1enp6enpaWlp6c/evQoKiqqtLS0W7dukydP9vT0dHR0pP+FAAXy7Nmz06dPBwQEZGdna2pqDh8+3MHBwdzc3NTU1NTUVEtLq/GvSCSS7Ozs9PT01NTUxMTEu3fvZmRk8Pl8FxeXefPmTZ48mc/n0/9CgKKAuZVipFIKDg52d3fn8XhaWlpfffVVQEDA+/fv29dUaWlpYGDg0qVLO3XqxOFwRo4cefHiRYlEQm1goOhevny5YsUKfX19Dofj6up6+PDh1NTU9jUlFotjY2O9vb0HDBiAEOrXr5+3t3dRURG1gYGiq6ioOHDgwMCBAxFCJiYmXl5e0dHRNTU17WstMzPz5MmT48ePV1FR0dbWXrhw4bNnz6gNDFgA5lZ5UK5CTSKRBAQE2NraIoTc3NzOnj1bWVlJVeM1NTVXrlyZNGkSh8MxNzf38fERiURUNQ4U1/Pnz+fOncvlck1MTLy9vV+/fk1h40+ePPn+++87deqkpaW1bt26goICChsHCqqkpGTnzp36+vqamppff/31vXv3pFIpVY3n5+f/9ttvVlZWBEFMnDgxNjaWqpaB4oK5Va6UqFCLiooaOHAgh8OZNm3akydP5NdRamrql19+yePxTExMbty4Ib+OAMPl5eXNmzePw+EMGDDg3LlzYrFYTh3JLsjt2rWrhobG1q1bq6ur5dQRYDiRSPT777/r6Ojo6upu3ry5sLBQTh1JpdLr1687ODgghCZOnJiRkSGnjgDzwdwqb0pRqBUUFMyfP58giHHjxiUnJ9PTaWZm5uzZsxFCkydPzsrKoqdTwBBisfiPP/7Q0dHp1auXv78/hesZLaiqqtq/f79AIOjbt29wcDANPQJGefDggbW1tZqa2ubNm0tLS+npNCQkxMLCgs/n79ixQygU0tMpYAiYW+nB/kLt2rVrnTt37tmzZ0BAAP29375929zcXFNT8z//+Q/9vQMssrKyhg4dqqqqumHDBgrX/1spJydnxowZCKH58+dXVFTQ3DvAora2ds2aNQRBuLm5paWl0d/73r17NTU1LS0tnz9/TnPvABeYW2nD5kKtpqZm1apVBEEsWLCgvLwcY4wff/yRIAhPT0+MMQA9rl692qlTpwEDBuCdsQIDA/X19fv375+YmIgxBqBBVlaWg4ODQCA4deoU3hjDhg3T0NA4efIkxhiABjC30oy1hdq7d++GDBkiEAjOnDmDOwtJkuTNmzdlEydczMFWUql0w4YNBEEsWrSoqqoKdxzy9evXw4YN4/P5Fy5cwJ0FyMvt27f19PSsrKxSUlJwZyFFItG6detk87eyXe6tPGBupR87C7XMzExTU1MTE5N23wFBHt68eWNjY2NgYABfa2cfkUgku8oV76pGAyKRaMWKFRwO548//sCdBVDv4sWLampqHh4eTPhgUCcwMFBTU3P8+PH0n/cH8gZzKxYsLNQSExO7d+8+aNCgvLw83FkaKi0tdXFx0dXVjYyMxJ0FUKaqqsrd3V1TU5OZl/Dv2rWLIIjNmzfjDgKodOjQIQ6Hs3LlSgbeWerhw4f6+vpDhw798OED7iyAMjC34sK2Qu3Fixddu3Z1cnKSbYHCQEKhcOrUqQKB4NGjR7izAAqIRCJ3d/dOnTo9fPgQd5ZmnTx5ksvlbtu2DXcQQI2TJ08SBOHt7Y07SLNSUlJ69uzp4OAA32hhB5hbMWJVoVZQUGBqampvb8/w6wpra2vHjRunr6/PhMtKQEdIpdKFCxdqaGjcv38fd5aPOHr0KELo4MGDuIOAjrp+/bqKispPP/2EO8hHyKb2kSNHtns7BIxDVKYAACAASURBVMAQMLfixZ5Crby83Nra2szMTH73eKRQRUWFg4ODsbFxfn4+7iyg/TZs2MDj8Zh5xrOxbdu2cbncq1ev4g4C2u/+/ft8Pv+bb77BHaRVHj16JBAIvvjiC9xBQPvB3Iodewq1efPmffLJJwp0+7v379+bmJiMHDmSgZeYgNa4du0aQRCM+vbARy1atEhHR+fly5e4g4D2KCwsNDQ0nDhxovx2uaBccHAwh8M5fPgw7iCgnWBuxY4lhdqJEycIgrh+/TruIG2TkJCgrq6+fft23EFAm71+/bpz586LFi3CHaRthEKhra2tnZ0d3ERe4Uil0okTJ/bs2bPdu1zj4uXlpaamJtfNhYCcwNzKBGwo1JKTkzU0NNavX487SHv88ccfXC43KioKdxDQBmKxeOjQoQMGDFDEGxCkp6draWl9//33uIOAttm/fz+Px2Pyd1aaIxaLnZ2dTU1NFfH/izKDuZUhCJIkkSIjSdLZ2bmqqiomJkZFRQV3nPZwd3d/9epVQkKCqqoq7iygVf788881a9Y8efLE0tISd5b28PHxWbBgQWxs7ODBg3FnAa2SmZlpaWm5efPmjRs34s7SHm/fvrW0tFy6dOmuXbtwZwGtAnMrg2AuFDvMx8eHw+Eo4qfMOtnZ2Zqamrt378YdBLRKfn6+rq7uhg0bcAdpP6lU6uLiYmdnp0CXOik5d3d3U1NThT5hffDgQVVVVdq27gYdBHMrcyh2oVZcXNy1a9dly5bhDtJR3t7eGhoa2dnZuIOAj/P09OzVq5ein8RJSkri8XhwibdCkH1tJSIiAneQDhGLxba2tq6urriDgI+DuZVRFPvU57Zt2w4ePPjq1StdXV3cWTqktrbWwsLC1dX12LFjuLOAliQlJQ0cOPDChQvTp0/HnaWjVq9e7efnl5GRoa6ujjsLaBZJktbW1hYWFn5+frizdFRMTIyjo2NYWNioUaNwZwEtgbmVWXBXiu1XUVGhr6+/detW3EGocezYMR6Pp+iFP+vNnTu3f//+7PjWd35+Pp/P/+uvv3AHAS25evUqQRD//PMP7iDUcHNzc3Z2xp0CtATmVqbh4C4U2++vv/6qrq5evnw57iDU+PLLL7t37/7rr7/iDgKalZGRceHChc2bN3M4Cvwfp07Xrl0XLFiwZ8+e2tpa3FlAs/bu3Ttp0iQrKyvcQaixadOmu3fv3rt3D3cQ0CyYW5lGUecbiURy8ODBZcuW6evr485CDR6Pt3r16uPHj5eVleHOApr2+++/9+rVa9asWbiDUObHH3/Mz88PCAjAHQQ0LTo6OiYmRkG/6dkkJyenYcOG/fbbb7iDgKbB3MpAilqo3b59Ozc3d+HChbiDUGn+/PkkSfr7++MOApogEon8/PwWLFjA5XJxZ6GMkZHRmDFjzpw5gzsIaNrp06dtbGzs7e1xB6HS4sWLb9y48f79e9xBQBNgbmUgRS3Uzpw54+joaGZmhjsIlXR0dCZMmACzJjMFBQW9f/9+zpw5uINQzNPTMzQ0ND8/H3cQ0JBQKPT39/f09MQdhGLTp09XVVW9dOkS7iCgCTC3MpBCFmrl5eVXrlxh3/ELIeTp6RkVFZWdnY07CGjozJkzzs7OxsbGuINQbOLEiVpaWufPn8cdBDR07dq1iooK9n020NTUnDJliuLOmiwGcyszKWShdvfuXaFQOG3aNNxBqDd27FhNTc3g4GDcQcC/iMXi0NDQGTNm4A5CPXV1dXd395s3b+IOAhq6efPmiBEjunbtijsI9aZPnx4bGwtnP5kG5lZmUshCLSIiwsrK6pNPPsEdhHo8Hm/EiBF37tzBHQT8S1xcXHl5+ciRI3EHkQsXF5cHDx5UV1fjDgL+5c6dO2wdck5OTgRB3L17F3cQ8C8wtzKTQhZqd+7ccXV1xZ3iX37++WeCIAiC6NGjRwebcnFxCQ8Pl0qllAQDlIiIiOjevbupqSnuIP9C1agbOXKkUCh8+PAhVcFAx6Wnp+fk5Li4uOAO8i9UDTkdHR07OzsFnTVZDOZWZlK8Qq24uDgxMZFpx6+1a9eSJGltbd3xplxdXT98+JCSktLxpgBVoqKimHb8QtSNOiMjIxMTk8jISEpSAUpERUUJBAKmfd+T2gMdrKgxCsytjKV4hVpKSopUKh00aBDuIPIyYMAAFRWV5ORk3EHA/yQlJbF4yCGErK2tYcgxSlJSkqWlJY/Hwx1EXqytrV+8eCESiXAHAf8FcytjKV6hlpqaqqGhYWhoiDuIvKiqqhobG6empuIOAv6roqLi7du3LPu+egNmZmZpaWm4U4D/SUtLY/2QE4lEGRkZuIOA/4K5lbEUr1BLS0szNTVlxx4+zYFZk1HS0tJIkmT9rJmeni6RSHAHAf+VmprK7iFnampKEAQc6JgD5lbGUry3JDMz08TEpH2/K9veWCY7O3vWrFlaWlqdO3f29PQsLi7Oyspyd3fX0tIyMDBYvHhxeXm57Ld27twp+5Xhw4fLHrl165bsETltstG3b1/4oMkcGRkZHA6n3XdQU4hR17dvX6FQmJeXR3nLoB0kEsnr16/ZfaDT1NQ0MDB49eoV5S2D9oG5lbmwbQffXm5ubosWLepIC5MmTUIITZ06NT4+vqKi4vTp0wihcePGTZo06enTp+Xl5UeOHEEIrVq1qv5vaWpqDhs2rP4jdnZ2nTt3rv+ItbW1oaFhR7LJbN261cLCouPtAEocP35cW1u7g40wfNQlJSUhhJ4/f97BdgAlSkpKEEIhISEdaYThQ44kSQsLi59++qnj7QBKwNzKWIq3olZeXq6lpdXxdhYuXGhnZ6epqenp6WlpaRkcHLx69epBgwYJBIIlS5b07t07KCio4720j5aWluJuH8s+VA05xOBRJ3uBdZ90AV6yN0IZDnQw5JgD5lbGUrxCraKigpLBNHjw4Lo/d+/evcEjhoaGb9++7Xgv7QPHL0ahsFBj7KiDQo1RZG+EQCDoeFOMHXIIDnQMA3MrYyleoSYUCtXU1Drejra2dt2fORwOl8vV0NCoe4TL5WK8LR6fz4fbxDNHTU2Nuro6JU0xdtTx+XyEEIw6hhAKhQghSkYdY4ccggMdw8DcyliKV6hpaGhUVVXR3y+Hw6mtra3/iOw6EnmoqKig5MM0oISGhkZlZSWWrmkbdRUVFYiiJRzQcZqamgghONABOsHcyliKV6jhWro0MDDIzc2t+zE/P//169dy6ovCc22g4zCultM26ii8KAp0HMYz0XCgU1owtzKWQhZqsk//NBs9evTbt2///PPPioqKV69erVy5skuXLnLqq7y8vP7qMcAL15BDNI46KNQYBWOhRvOBDoYcc8Dcyly4v3baZnPmzHF3d2/f78bExNR/7Zs2bYqLi6v/yO7du6Ojo+s/Uvft8ZKSkkWLFhkYGPD5/OHDh8fFxdnZ2cmes27duv379zdouSOvcenSpZ999llHWgAUkt0iqLKysn2/rhCjLjw8HCFUUFDQ7hYAhaRSqZqamo+PT/t+XSGGHEmSnTt3/vPPPzvSAqAQzK2MRZAkiRTK1q1b/fz8FHEXiNYbOXJknz59jh8/jjsIQAih5ORkS0vLZ8+eDRw4EHcWeTly5Mj69evld2kIaCtLS8upU6fu2LEDdxB5KSoq6ty5c2hoqJubG+4sACGYWxlM8U59mpmZZWRksHsrX9Zv86dY+vbtq6Kioogbj7QeDDmmUdC9blpPVhDAqGMOmFsZS/EKNXNzc3Zv5asMW4ArFtlWvuyeNdPT02HIMYq5uTm7h1xaWpqGhkaPHj1wBwH/BXMrYylkoaamptbg/DebxMfHkyTJ4rNsisja2prFQ44kyfj4eGtra9xBwP8MHDgwJSUF17dYaBAXF2dlZcXuLcAVC8ytjKV4/0n4fL6Dg8OdO3dwB5GXiIgIExOTXr164Q4C/sfZ2TkyMlIikeAOIheJiYnv3r1zcXHBHQT8j6urq1gsvnfvHu4g8hIREeHq6oo7BfgfmFsZS/EKNYSQi4uL7EtqrATHLwZydXUtLS198uQJ7iByERER0alTp0GDBuEOAv6nS5cu/fv3Z+us+fbt27S0NPhswDQwtzKTQhZqrq6u2dnZL1++xB2EemVlZY8ePYLjF9P079+/W7duYWFhuIPIRXh4uJOTE5yEYhpXV9fQ0FDcKeQiLCxMTU1t2LBhuIOAf4G5lZkU8tDs6OjYrVs3X19f3EGod+nSJS6XO27cONxBwL8QBDF58uRz587hDkK9oqKisLCwqVOn4g4CGpo8eXJCQkJSUhLuINTz9fUdM2ZM/S0gARPA3MpMClmoqaiozJ49+/Tp0wp3E7iPOnPmjLu7u66uLu4goCFPT8/k5OSnT5/iDkIxX19fFRWVyZMn4w4CGnJxcenZs+f58+dxB6FYXl7e7du3PT09cQcBDcHcykwKWaghhDw9PV++fPnw4UPcQaiUnZ0dHR0Nxy9mcnR0NDMzO3PmDO4gFDtz5sy0adMUcaNi1uNwOPPmzfPx8WHZt1jOnTsnEAjGjx+POwhoAsytDKSohZqtra21tfWff/6JOwiVDh061KVLl7Fjx+IOAprm6enp4+ODa4N2eYiLi4uNjZ0/fz7uIKBp8+fPf/v2bWBgIO4glJFIJEePHp0zZw6fz8edBTQB5lYGUtRCDSH0448/Xrhw4cWLF7iDUKOoqOjw4cOrV6/m8Xi4s4CmffvttxKJ5PDhw7iDUMbb29vW1lZBL7BVBmZmZpMmTdq+fTtrTkX5+fllZmauWrUKdxDQLJhbmUaBC7VZs2b16dNn3759uINQ4+DBgzwe75tvvsEdBDRLR0dnyZIlv/76a3V1Ne4sFEhOTg4MDPzpp58IgsCdBTRry5YtCQkJ7PjGMUmSe/bsmTNnTr9+/XBnAc2CuZVx8O0HT4ETJ06oqqqmp6fjDtJR796909PT27ZtG+4g4CPy8/P5fP6+fftwB6HAlClTBg4cKJVKcQcBHzFmzBgHBweJRII7SEedP3+ew+EkJSXhDgI+AuZWRiFIRV5RF4vFgwcP7tKli6LfbWjBggW3bt1KTU3V1tbGnQV8xNatW3/99deUlBRDQ0PcWdovNDR0zJgxQUFBCvp9daXy/PlzW1vbw4cPL1y4EHeW9isvL+/fv//48eOPHj2KOwv4CJhbmQV3pdhR9+7dIwji0qVLuIO03/379xX9JSgVoVBoamo6c+ZM3EHajwUvQdmsXLmyU6dOhYWFuIO03/fff6/oL0GpwNzKHIq9oibz1Vdf3b59+9mzZ506dcKdpc2EQuGnn35qYGAQEhKCOwtoreDg4M8//zwwMHDChAm4s7THpk2b/vjjD0VfFFQqZWVl5ubmbm5uPj4+uLO0R1xcnKOj4+HDhxctWoQ7C2gtmFuZAnelSIH379/36NFj4sSJini1zTfffKOrq5uRkYE7CGibL774Ql9f/82bN7iDtFlYWBiHwzl69CjuIKBtrl+/ThCE7GakiqWkpKRPnz6jR49mwWV2SgXmVoZgQ6FGkmRMTAyPx/vtt99wB2mbixcvEgTh7++POwhos4qKCgsLiyFDhtTW1uLO0gb5+fkGBgZw0lNBrV69WlNTMzk5GXeQtvHw8OjatWteXh7uIKDNYG5lApYUaiRJ7tq1S1VV9c6dO7iDtNazZ8+0tbW//fZb3EFAOyUmJvL5/JUrV+IO0lrV1dUjRozo169fWVkZ7iygPWprax0cHCwtLYuKinBnaa29e/dyuVwFOjKDBmBuxY49hZpEIpk1a5aOjs7Tp09xZ/m4zMzM7t27u7i4CIVC3FlA+/n5+XE4nD179uAO8nFisXjKlCl6enrPnz/HnQW035s3b3r27Dl8+PCqqircWT7u9OnTBEEcOHAAdxDQfjC3YseeQo0kydra2jFjxnzyySdpaWm4s7SksLDQ3NzcysqquLgYdxbQUYcOHSII4sSJE7iDfMSKFSv4fH50dDTuIKCj0tPTu3TpMmHCBJFIhDtLS8LCwlRVVTdu3Ig7COgomFvxYlWhRpJkWVmZnZ1dz549GXtPxTdv3lhaWpqYmMAVG6yxadMmLpfL2MvzxWLx119/raKicv36ddxZADUePHigoaExefLk6upq3FmadvXqVT6f/9VXXynideigMZhbMWJboUaSZHFx8YgRI/T09O7du4c7S0PJyclGRkYWFhavX7/GnQVQac+ePQihdevW4Q7SkFAonDFjhpqaGmuuqwUyDx8+1NfXHzJkyPv373Fnaejvv/9WUVH56quvGL7mB9oE5lZcWFiokSRZVVXl7u6uoaFx4cIF3Fn+JywsrFOnTsOGDVOgC4FB6x0+fJjL5S5evJg5ixxv374dPny4np4enPFkpcTERENDQysrqxcvXuDO8l9isXjTpk0EQfz000+4swDqwdyKBTsLNZIkRSLR8uXLEULLli3DPnGKxWIvLy8OhzNr1iyFuAQYtM+VK1e0tbVtbGyYMHGGhYV17dq1X79+iYmJuLMAecnKyrK1tdXW1mbCxPn27VtnZ2d1dfXjx4/jzgLkBeZW+rG2UJO5ePGijo6OjY0NxrkqIyNDdvA6dOgQrgyANi9fvpRNnKdPn8Z1dU51dfXGjRtlB6/S0lIsGQBthEKhbOJcsmQJxrf7+vXrXbp06devn0J8NxB0EMytdGJ5oUaS5MuXL4cMGcLj8dasWVNeXk5n10KhcMeOHXw+38LCAg5eykMoFK5cuZLD4bi4uNB/b9Lg4OC+ffsKBIIjR47Q3DXA6NKlS/r6+t27d/f19aW566ysrEmTJiGEPD094RZ9ygPmVtqwv1AjSVIikRw5cqRTp049evT4+++/abiVvEQiuXTpkqmpqaam5p49exTr5vWAEo8ePbKzs5MdxfLz82noMTExccqUKQih6dOnK+LeVqCD3r9/v2jRIg6HM3LkyIcPH8q7u7y8vLi4uK1bt2poaJiZmd2+fVvePQKmaTC3ZmRkpKamyrtHJZxblaJQk3n37t3ixYt5PJ6xsfGhQ4coP7n+4cMHkiRFItHp06f79+8vO/GUnZ1NbS9AgYjF4r/++qtbt258Pn/FihWUfx2prsG4uLjJkycTBGFlZXXr1i1qewGKJSYmZujQoQihUaNGye9u8u/evVu7di1BENra2rt27aqpqZFTR4D5ZHOrioqKiorK1q1b5XThmjLPrUpUqMlkZ2d/9913fD5fT0/v66+/3rZtW0FBASUtDx8+fPPmzb179+ZwODNmzFC4/fiAnNTU1Pj4+JiYmHC53FGjRvn4+Fy6dImSNbYVK1b88MMPo0aNIgjC2trax8cHNr0GMtHR0RMmTEAIWVhY/PTTT1lZWZQ0KxaLw8LCPD09NTU19fX11dTUOnXqBMc68ObNG0NDQ4RQ3dwaHR1N1UW6ycnJP/30kzLPrUpXqMnk5eV5e3v36dMHIWRiYrJ27dqgoKB2nGWvqqoKDw/ftGmTjY0NQkhLS2vz5s0ZGRnyyAwUWk1Nzblz58aMGcPlcgmCmDp16qlTp9qxxiaVShMTEw8cODBhwgRZU9OmTYOzTqBJDx8+/Prrr3V1dWUfEvbt2xcfHy8Wixs87aNfQcjPz/f19V28eHHXrl0JghgxYsTx48crKyvNzc0RQp06dYJ9yZTZmzdvjI2NZTOgbG6VDQxzc/NWzq2NR2CDubVXr17KPLcSJEkipVRbW/vpp58+e/bsiy++ePz4cVJSkoqKip2dnYWFhampqampqZGRkZ6enkAgEAgEHA6noqKivLy8pKQkNzc3LS0tPT09JSUlPj5eKBT269dv5MiRp06dEgqFx44dW7x4Me4XBxhKKBTa2NikpqYOGTIkISFBKBT27dt30KBBpqamZmZmffv2rRty2traZWVlpaWl5eXl79+/T09PT09PT01NjY+Pf/funZ6enpOTU3FxcWRk5LBhwyIjI7lcLu4XBxhKKBQGBgYGBATcuXNHNnjs7e3NzMzMzc1NTU0/+eST7du3nzhxQiAQVFVVVVRUVFRUFBcXZ2ZmpqampqWlPX/+PDk5mcvlOjg4jB07du7cub1795a1PGHChJs3b6qoqAgEgsjIyIEDB+J9pYB+OTk5I0aMyM3NFYlE5ubmKSkpsscfPXrk6+sbFhb20bn1/fv369evX7NmTXNz6+zZsz/77DOCIPC+UoyUt1D7/vvvDx48SJJkfHy8nZ1dQUHBnTt3YmJiUlNT09PTZee/m/vdHj16yGZWBwcHV1fXnj17IoQEAkFlZSWPx4uKihoyZAiNLwUojMWLF588eZIkyeTkZGNj45iYmMjIyKSkJFkdVlNT09wvamtrm5mZmZmZDRo0yNnZedCgQVwud968eefPn+dwOJs2bdq2bRudLwQoIpIkk5KSIiIiEhISZEVYUVFRc0/m8Xh9+vTp379///79R4wYMWLECIFA0OA533777bFjx0QikYqKCp/Pj4iIGDx4sJxfBGCQ+lUaQmjcuHFBQUENntPxuRUoaaEWFBQ0YcIE2WuPjo4ePnx4gydUV1fn5eUVFxfLPl9KpVLZIoeurm6XLl20tLQatykr1Lhcrq6u7rNnz2Qn7AGoc/78+blz58r+/M8//1hZWdX/W4lE8vbt25KSEtmQKysr09HR0dHREQgEenp63bp1a9zgtGnTLl++jBAiCCIkJMTNzY2GVwHY5P379zNnzrxz586GDRvs7e01NDRk6xy6urqGhoYqKiot//q+ffu8vLxqa2sRQlwuV1ar2dvb05IdYNagSuPxeAsXLjx8+HDLv9V4bv3777+vXLnyww8/eHl5NTm3go/8P2SlnJycuXPnEsR/i9SqqqrGz+Hz+bIr2NpKIpGUlZVNmTIlOjpaTU2to1kBWzx//nzBggV1P8oObfVxudyePXu26RNk3dAlCGL27NnPnz83MDDoeFSgPKqqqiIjIwmCeP369a5du9r667169aobyRKJpLq62tXVNTw8/NNPP6U6KWCW/Px8FxeXuioNIcThcFpz+Go8t65YsQIhdO7cud27d8sjKgtwcAegm1QqnTt3bmVlpVQqlT3SZKHWESKR6OnTp7LBBwBCqKKiYsqUKRKJpO4R2SJEB9UNXalUWl5ePnPmzPpdAPBRR44c4XK5JEnevHmz7pDYekZGRvXPydTVarGxsZTGBMySn58/YsSI7Ozs+h84RSJRjx492tpUZmZmdnY2QigvL+/mzZtUpmQRpSvUtm7dev/+/brhRRBEdXU1JS3Xv9RRLBYfP378+PHjlLQMFN3ixYuzsrLEYnHdI41X1Nqh/tAViUQxMTHe3t4dbxYoiZqamqNHj8qGYklJyZMnT9ragpGRUYNHJBKJUCiU3XGXmpSAYZqs0hBCUqm0HZeUyb6MghDicDgHDhygLCW7KFehFhkZ6e3tXX/VgcvlUr6iVmfp0qXR0dFyahwoioMHD164cKF+lYYoKtQaDF2JRLJ169bbt293vGWgDC5evFhcXCz7s6qq6q1bt9ragoGBQePr2GS1mouLS2RkJAUpAZM0V6XJtGNF7caNG7KlXIlEcufOnbS0NApSso4SFWqFhYUzZsxo8BVfDocjv0INITRlypTc3Fz5tQ8Y7tGjR2vWrGn8lR1KTn0KhcIGj8guVsvPz+9444D1fv/9dw7nv1OASCS6fv16W1vgcDhdu3Zt/LhEIqmtrR03bty9e/c6mhIwRm5u7tChQ7Oyspr7nNnWr9DV1NRERkbWnXNXUVE5cuRIR1OykbIUaiRJfvnllyUlJQ0u4iEIQn6FWt0XC1q47QJgsaKioqlTpzb5xWpKVtQaF2pSqbSsrAwuVgMf9fTp0ydPntSNE5IkHz9+3MLdOppTd0+1+jgcDkmSBgYGBQUFHQ0KGCMtLU1DQ0MsFjd510ZtbW0NDY02NRgZGVn/ICYSiWQ3Uu5oUNZRlkJt//79wcHBTc6OVF2j1iSRSPTkyZOVK1fKrwvATFKp1MPD4927d03WTJQUak1+ABCJRPfv39+zZ0/H2wcsdvDgQR6P1+DBdpw3l+2NVvcjh8MhCMLExOTUqVPp6enTpk3raFDAGK6urklJSWFhYba2tgihBme923HeMzg4WFVVtf4jQqHw3LlzHczJPkpRqMXGxm7cuLG5O8ZRtaLWwn2Tjx49euHCBUp6AYpi165doaGhTRZkBEFQcuqzuUZIktyyZUtUVFTHuwCsVFxc7Ovr22Bwcrncxncr/SgjI6O6i8ERQvr6+rNmzUpJSfniiy9gtwxWGjVq1KNHj3bv3i173+vK/SbXVlt2/fr1BgcxqVT6yy+/KOftXVugFIXa4cOHSZLkcrmNDxxSqVROpz5lw1cgEMyZMycsLGzmzJny6AUwU1VVVVxcHI/H43A4ja+2JgiCkhW1Bsc4LpfL4XC4XK6Tk9PBgwf79u3b8S4AK504caLxQq9IJLpx40Zb50gjIyPZOLS2tg4MDFy+fHlwcHB5eTllWQEjBQYGjh49OiYmZvTo0bJFisZfAW5ZVlZWRkZGgwdJkkxPT4dLGxuicV9RnD58+HDx4sU5c+bITqLXzZ0qKioLFiygpAvZLZVl+2Srqan16dPH399fJBJR0jhQRJWVldevX58zZ46amhpBEHWjjsvlyjaS6iDZGoaKigpBEDwer1u3bj4+PkVFRR1vGbCYRCJp4TYKT58+bVNroaGhw4YNu3XrluzHkpISPT29nTt3yiE4YIrQ0FCE0P3792U/JiQkzJw5c8+ePW1q5NChQ02uufJ4vOnTp8shtQJTlkKtzoEDB/h8/oIFCzp37iwbFrNmzaKkZV1dXRUVlfHjx/v6+ubk5Kiqqp49e5aSloGi+/zzz21tbadNm6auri779Clb5e0I2QVq2tra8+fPv3r1anx8PELo4cOHlAQGLBYYGNhclcbj8Xbt2tWm1sRicYNHvLy8OnfuXFZWRl1kwCxOcbixegAAIABJREFUTk5ubm4NHpRIJG1qZMKECc2dHOdyuTk5OdTlVXhKV6hNmDBhypQpJElKJJKYmJj169evXbuWkpbPnj374cOHuh/Hjx8/fvx4SloGCq28vJzP5//nP/8hSbKqqury5ctz5sz5+++/O9isSCSKiIioP0327t178+bNHWwWsN64ceNkNZmampqamprsBH3dHDlkyJAOtv/hwwctLa19+/ZRkhYwTUxMDELo7t27HWmkpqaGz+fXr8xUVVXV1NRUVVVlZx62bt1KVWAWUK5N2YVCYefOnQ8cOLBo0SJ593Xu3Lkvv/wyNze3S5cu8u4LMJmvr+8XX3yRl5enr68v145WrFgRHR2dkJAg116AogsNDS0pKSkpKSkuLs7Ly7t06ZKtra1EIikqKiopKamtrX327FkH98Zev379qVOnMjIy2nq/BsB8n3/+eXFxsaxca7f79+/PnTtXU1NTT09Ptv765s2bOXPm6Py/3r17Dx48mKrMCg93pUiroKAggiDoWVOtqKgQCASHDh2ioS/AZNOmTRs9ejQNHcnuLJ+VlUVDX4AdkpOTEUKJiYnUNltYWCgQCH777TdqmwXYPX36lCCIoKAgaps9fvy4jo4OtW2yiVJ867POzZs3Bw0a1Na7J7ePpqamu7u7r68vDX0Bxqqqqrp16xY9d5NydnbW0tJqxx0WgNIqLS1FCOno6FDbrL6+/tdff71371653qUS0G/Hjh3W1tZjx46ltlkdHZ2ysrK6LQpAA8pVqN26dWv8+PG0defh4XHv3r2srCzaegRMExQUJBQKJ0+eTENfampqbm5uN27coKEvwA4lJSUIIV1dXcpb/uGHH0pLS//++2/KWwa4pKSkXL161cvLq4WbhraPrq4uSZJlZWXUNssaSlSoJScnv3r1is5CbezYsZ06dYJb3SqzgICAzz77jLbrFMePHx8eHl5RUUFPd0DRlZaWcrlcgUBAecvdunVbuHDhnj17KLm3M2CCXbt2mZmZyeNjp2xNV7a+CxpTokLt5s2b+vr69vb2tPUoux8MnP1UWjU1NUFBQXTuojNhwgSRSBQeHk5bj0ChlZSUaGtrU75AIrNu3bp37975+PjIo3FAs4yMDD8/v40bN9b/jjBVZGu6svVd0JhyFWrjxo2jeVcTDw+PZ8+ePX/+nM5OAUPcunWroqJiypQptPXYpUsXe3t7OPsJWqm0tFQe5z1levToMX/+/D179ojFYjl1AWizZ88eIyOj2bNny6NxWFFrmbIUaqWlpQ8ePPj8889p7vezzz7r1auXn58fzf0CJggICHB0dOzevTudnU6YMOHmzZukMt12B7RbaWkp5d8kqG/Tpk05OTmwzbaiy8nJOX369Pr16xtviEcJWFFrmbIUaiEhIVKp1M3NjeZ+CYKYMWOGr68vTJzKRrZzIp3nPWUmTJiQl5f3+PFjmvsFiqikpER+K2oIISMjo7lz5+7cuRMW1RTazz///Mknn3zxxRdyal9NTU1dXR1W1JqjLIVacHCwo6Nj3bZRdPLw8MjIyIiNjaW/a4BRWFhYSUkJnec9ZaytrXv06HHz5k2a+wWKSN4ragihTZs2ZWVlXbp0Sa69APl5//79iRMn1q5dq6amJr9edHR0YEWtOUpRqJEkGRISQvmtX1rJ1tbWwsICvlKgbAICAj799NNevXrR3C9BEGPHjg0JCaG5X6CI5L2ihhAyMTGZNWvWjh074C5ZCuqXX37h8/ny3s5HV1cXVtSaoxSFWmJiYl5e3pgxY3AFmDVrlp+fHyz+Kw+xWBwYGEj/eU+ZsWPHPnr06MOHD1h6BwqEhhU1hNCmTZvS0tIuX74s744A5UpLS48cObJmzRpNTU25dqSjowOFWnOUolALCQnR19e3sbHBFWDu3LmFhYURERG4AgCa3blzp7CwcOrUqVh6d3Nz43A4YWFhWHoHCoSGFTWEUP/+/adPn75z5064VFfhHDhwgCTJb775Rt4d6erqwqnP5ihFoRYaGjp69Gh53P2llUxMTOzt7eHsp/IICAiwtbU1MTHB0ru2tvaQIUNkW38C0AJ6VtQQQlu2bElMTAwMDKShL0CVysrKP/74Y+XKlTRU87Ci1gL2F2rV1dX3798fPXo03hgeHh6XL1+Gne+UgVQqvX79Oq7znjKyy9RgAQO0rKSkhJ5CzdLScuLEidu2bYMxqUAOHz5cXV29YsUKGvqCFbUWsL9Qu3v3rlAopP/GHA3Mnj27srISvounDKKiovLy8nCd95QZN25cfn7+06dPMWYADCeRSCoqKmhYLJHZsmXL06dPYaFXUQiFwt9++23p0qX6+vo0dAcrai1gf6EWEhJiZWVF801HG+vWrZuzszOc/VQGAQEBVlZW5ubmGDMMGjTIwMAAJkXQgrKyMpIk6VlRQwjZ2Nh8/vnn27dvp6c70EEnT54sKipatWoVPd3B7TlawP5CTXaBGu4UCCHk4eFx8+ZNGIvsRpLktWvX8J73RAgRBDF69Ggo1EALZMci2lbUEEJeXl4PHz6EvWiZTyQS/fzzzwsXLqRtjQNuz9EClhdqOTk5KSkpGG/MUd+MGTMIgrhy5QruIECOHjx48ObNG+yFGkJo7NixMTEx8MEANEc2L9K2ooYQcnBwcHNz27FjB209gvY5e/Zsbm7u2rVraesRVtRawPJC7datW3w+f9iwYbiDIISQtrb2uHHj4OwnuwUEBJiamg4YMAB3EDRmzBiSJG/fvo07CGAoWaFG54oaQmjr1q2RkZFRUVF0dgraRCKR7N27d968ecbGxrR1qqurW1NTU1NTQ1uPCoTlhVpoaKiTkxOfz8cd5L88PDzCw8Pfvn2LOwiQC5IkL1++PGPGDNxBEEJIT0/v008/hbOfoDmyBQxtbW06O3V0dHRycoJFNSa7dOnSy5cv161bR2enspVdWFRrEpsLNYlEEh4ezpDznjLu7u5aWlqw7R1bxcXFZWdnM+G8p8y4ceNu3boFN0QATSotLeXz+XLdwLFJXl5et2/fvn//Ps39gtYgSXL37t0zZswwMzOjs1/Zyi5cptYkNhdq8fHxRUVFDPkmgYy6uvrkyZPh7CdbBQQE9O7dG+MeGA2MGTMmNzc3OTkZdxDARPRsS9DYyJEjhw8fvmvXLvq7Bh91/fr1xMTEDRs20NwvrKi1gM2F2u3btw0MDCwsLHAH+RcPD4/Y2NgXL17gDgKox5zznjJ2dnZ6enpwmRpoEm3bEjS2adOmoKCguLg4LL2DFuzdu3fixIkDBw6kuV9YUWsBmwu1iIiIkSNH4k7R0KhRo7p27ern54c7CKBYQkLCy5cvmXPeEyHE5XKdnZ3hbgigSaWlpVhW1BBCY8eOtbe3h0U1pgkLC4uJiaH56jQZLS0tDocDK2pNYm2hJhQKY2JiXF1dcQdpiMvlzpgx4/z587iDAIoFBAT07NnT3t4ed5B/GTVq1N27d0UiEe4ggHFo2z+qSZs3b7527dqzZ89wBQCNeXt7u7m5DR06lP6uORyOlpYWrKg1ibWF2oMHD6qrq11cXHAHaYKHh0dqampCQgLuIIBKAQEB06dPJwgCd5B/GTVqVHl5eWxsLO4ggHEwrqghhNzd3W1tbb29vXEFAA3ExMRERkZu2rQJVwDY7rM5rC3UIiIi+vbtS+dtYFpv6NChvXv3hq8UsElSUlJKSgqjznvKmJqaGhsbw2VqoDG8K2oEQWzYsCEgIOD58+e4MoD6tm/fPnToUCcnJ1wBYLvP5rC2UAsPD2fgeU8ZgiA8PDx8fX2lUinuLIAa/v7+3bp1w3LK4KNcXV3hMjXQGN4VNYTQ1KlTLS0t9+zZgzEDkElISAgJCdmyZQvGDLCLVHPYWaiVl5c/fvyYsYUaQmjevHlv3ry5d+8e7iCAGrLznhwOE/9DjRo16uHDh2VlZbiDAGbBu6KG/n9Rzc/PLy0tDWMMgBDasWOHtbU13tuOwi5SzWHivNJxd+/eFYvFzs7OuIM0q3///gMHDoSzn+zw4sWLxMREBp73lBk5cqREIoFNe0ADGG/PUWfmzJl9+/aFRTW8UlJSrl696uXlhfcSW1hRaw47C7WIiAgrK6uuXbviDtISDw+Pixcv1tbW4g4COurSpUv6+vrDhw/HHaRpXbp0GThwIJz9BA1gP/WJEOJyuRs3bjx37lxmZibeJMrM29vbzMxs8uTJeGPAilpzWFuoMfm8p8ycOXOKi4tDQ0NxBwEdFRAQMG3aNBUVFdxBmjVq1KiwsDDcKQCDVFdX19TUYF9RQwjNnTvX2NgYFtVwycjIuHDhwqZNm7BfuQEras1h7tTSbu/evUtMTNy5cyflLWdkZEgkEgobtLW19fHxoXlLtSZ17dqV5r2ZKVFVVZWbm4s3Q0FBwdOnT7/99lvKd5swMTGh6tA5atSoX375JTc319DQkJIGAeXevXtH5yxVWFiIEKqoqKBhlxRNTc3u3bs397dcLvfHH39ctmzZxo0be/XqJe8woIE9e/YYGRnNmjWrhedQPvc1SSQSFRYW0rxtj2LMfSTr+Pn5qaiolJSUUN6yAryd7XXs2DHK/7locOvWLdz/cnJE4RiurKxUU1M7ffo0VQ0Cyi1cuBD3iJMXNze3ll97bW2tsbHx8uXL6fmnBnXevHmjqqr60eM/zH14sXBFLSIiYvDgwXJa0vfy8poyZYo8Wsbos88+wx2hQ6KiogQCAe4UVIqJiVm+fDmFDWpoaAwdOvT27duenp4UNguoNWTIkEOHDuFOQbHt27dXVla2/Bwej/fDDz+sXr16w4YNsOhLp/3793fp0mX+/PkffSbMfRixsFC7c+fO9OnT5dR4z549bWxs5NQ4LtgvTeiggQMHMuFSGwq9e/eO8jZdXV1PnDhBebOAQlpaWuw7vHTu3PmjhRpCaOHChbt27frll19+/fVXGlIBhNC7d+9OnDixe/duVVXVjz4Z5j6MFCNl6+Xn57948QLjvZUBYCYnJ6fXr1/Dd+sAM6mpqf3www9Hjx6Vx6cU0KTffvtNIBAsWrQIdxDwEWwr1CIjI1VUVBwdHXEHAYBZHBwc+Hx+ZGQk7iAANG3JkiU6OjqwokaP0tLSw4cPr1q1SkNDA3cW8BFsK9Sio6MHDRqkpaWFOwgAzKKmpubg4ACFGmAsdXX1VatW/fnnn7JvpAK5OnDgAEJo6dKluIOAj2NhoaYolwcCQDMnJ6eIiAjcKQBo1rJlyzQ0NA4ePIg7CMtVVlb+8ccfK1euZNnVvWzFqkKtuLj4+fPnI0aMwB0EACZydnZ+/fp1dnY27iAANE1TU/P7778/ePBgcXEx7ixsdujQoerq6hUrVuAOAlqFVYVadHQ0SZKM3ckHALyGDh2qrq5+9+5d3EEAaNa3337L5XL//PNP3EFYSygU/v7778uWLdPX18edBbQK2wo1S0tLGHwANAkuUwPMp62t/d133/3+++/l5eW4s7DTyZMni4qKvv/+e9xBQGuxrVCDC9QAaIGTkxMUaoDhVq1aJZVK//rrL9xBWEgkEv38888LFy5sYVMvwDTsKdQqKyufPHkCF6gB0AInJ6eMjAy4TA0wmY6OzrJly37++eeKigrcWdjmzJkzubm5a9euxR0EtAF7CrUHDx6IRCK4QA2AFjg6Oqqrq0dFReEOAkBLVq9eXVtbe+zYMdxBWEUikezdu9fT09PY2Bh3FtAG7CnUoqOjTUxMevTogTsIAMylrq5ub28PZz8Bw3Xu3HnJkiX79++vrq7GnYU9Ll68+OrVq3Xr1uEOAtqGPYVaVFQUXKAGwEc5OTnBFz8B861du7asrAw2qKUKSZK7d++eOXOmqakp7iygbVhSqNXW1sbFxTHqArXs7OyJEyeWlZXVPZKQkDB+/HhdXV0tLa1Ro0bdv3+/fS233M769esvXLjQoejsJY83hSTJ+/fvL1++3NTUVE1NrUuXLsOHDz979ixJknXPYdSb4uTk9OrVq9evX+MOAjpEfkcYhFBQUJCpqamKikrjv6JtMHft2nXx4sX79u2rqamhoTvWu379+vPnzzds2CDvjuQxMouLi48cOeLq6tqpUyc+n9+vX7+5c+c+e/as/nMYdZilFksKtbi4uKqqKuasqCUkJAwePHj06NHa2tqyR2JjYx0dHbW0tFJSUjIzM/v06ePs7BwaGtrWlj/azuLFizds2ODl5UXZi2ELOb0paWlpw4cPT09P9/f3Ly0tffjwoZGRkaen5w8//FD3HEa9KY6OjqqqqtHR0biDgPaT3xHm1atXEydO3LBhQ0FBQZNPoHMwr1u37sOHD6dOnaKhL9bbu3fvxIkTrays5NqLnEbmDz/8sGLFikmTJiUnJ3/48OE///lPQkKCnZ3d1atX657DqMMsxUhW2Lt3r4GBgbx70dbWPnbs2EefVlpa2qNHjyVLltQ9IpFILC0tDQwMqqqqZI+IxWIzM7OePXsKhcLWB2hlOwkJCQRBXLhwoZXNtvJ1MdCtW7cQQiUlJR99pvzelJSUFBUVlaKiorpHampqOnfurKam1u43pfWvq30cHByWLVsmp8ZB+yxcuNDNza01z5TfYCZJ0sPDY/fu3SKRyNDQkMvlNvmcNg3m1r+uJi1dutTIyKimpqbdLQCSJENCQhBCDx48aN+vY5/7Fi5c+PXXX9d/JCEhASHUr1+/Bg+ycu5jyYragwcPhg4dijvFf+3bty8/P3/Lli11j0RFRSUlJU2fPp3P58se4XK5Hh4eb968uXHjRutbbmU71tbW06dPX7NmjVgspuIFsYH83hRzc3ORSKSnp1f3iKqqas+ePWtqaoRCYd2DjHpThg0b9uDBA9wpQDvJbzAjhE6ePLl+/fomT3rWoXMwb9iwIT8//+zZs/LuiN28vb1Hjx4t71lSfiPzxIkTR48erf+ItbU1n89/9eoVWe8iE0YdZinEkkItNjaWIYUaSZInTpxwcHCofztB2U7YgwcPrv9M2Y/h4eGtb7z17UyZMiUnJ+fmzZttfgFsJNc3pbGSkpIXL17Y2Ng02PCYOW+Ko6NjYmJiaWkp7iCgzeQ9mOsm1JbRNph79uzp6em5a9culk29dIqJiYmKitq0aZNce6H5MFtZWVldXT1gwACCIOo/zpzDLIXYUKhlZGTk5+czpFB79uxZQUGBtbV1/QdTU1MRQg1uHWJoaIgQSk9Pb33jrW9n0KBBCCHZcjeQ65tSX1lZ2f379ydOnNitW7fTp083+FvmvCnDhw+XSCSPHj3CHQS0GW2DuWV0DuaNGzdmZ2f7+fnR0Bcrbd++fejQofK+hpvmkXnp0iWEUOPqkzmHWQqxoVCLiYnh8Xi2tra4gyCE0PPnz1GjcVlSUoIQ0tTUrP+gQCBACBUXF7e+8da3I/ufIAsD5Pqm1Nm5c6eOjs7w4cO5XO6VK1cGDBjQ4AnMeVO6du3au3dvOPupiOgZzB9F52Du06fPnDlzvL29pVIpDd2xzNOnT0NCQuqfjpQTOkdmQUHB+vXrFy1aNHPmzAZ/xZzDLIVYUqjZ2Ni0csVe3vLy8hBCDc55NUl2Zr3Bsm07NNmOtrY2QRCyMICeN2Xz5s01NTUpKSnm5uY2NjY7duxo8ARGvSlwmZqCov8I0ySaB7OXl9eLFy/8/f3p6Y5NduzYMWjQoDFjxsi7I9pG5ocPH8aOHevs7HzkyJHGf8uowyxVWFKoMeS8J0JIdv04j8er/6Curi5CqLKysv6Dsh9lf9VKbWpHRUUFbuotI9c3pT5VVVVzc/PDhw9PnDhxy5Ytt2/fbvAE5rwpjo6ODx8+lEgkuIOAtqFtMH8UnYO5b9++M2bM2L59OyyqtUlKSsq1a9e8vLzkVK/XR8/IrKysHDNmjIWFxblz57hcbpPPYc5hlioKX6hVVVX9888/zCnU1NXVEUIikaj+g+bm5gihnJyc+g/m5uYihNp0k+g2tSMWixmyyoidXN+UJrm7uyOEGn+tiTlviqOjY1lZGctOECgD+gdzc2gezF5eXrKyg7YeWcDb29vMzGzSpEk09EXDyBSLxTNmzDA0NPTx8WmuSkNMOsxSReELtbi4OLFYzJxCzcDAACHU4Pt0Li4uCKHHjx/Xf1D248iRI1vfeOvbKSsrI0lSFgbI9U1pkpqaGkKoqKio/oOMelOsrKx0dHTg7KfCoX8wN4n+wWxhYTFlypTt27fXvx0DaEFGRsaFCxc2bdrE4dAx0dMwMpcsWVJTU3Px4sW628f07dv34cOH9Z/DqMMsVRS+UIuJienevbuRkRHuIP8lu4S8wQcIJycnCwsLf3//uhtrSSQSPz+/nj17jh8/vvWNt74d2UeWxtezKye5vilr166dN29egweDg4MRQvb29vUfZNSbwuFwHBwcoFBTOHIdzK2HZTB7eXk9e/YsKCiIzk4V1+7du42MjGbNmkVPd/IemVu3bk1KSrp27ZrsY3BzGHWYpQobCjVHR0fcKf7H2tq6S5cuDfYg43A4J0+eLCoq+uqrr/Lz8z98+LB8+fIXL14cP35ctlwsM2/ePIIgMjMzm2u8le0ghGR3bR49ejTVr08hyfVNQQidP39++/btWVlZNTU1WVlZ69atO3v2rJ2d3aJFi+o/jWlvytChQzuyHSTAQt6DuZWwDGZra+sJEyY0/poOaCwnJ+f06dMbNmxo+d7FFJLryDx16tS2bdtiY2O1tLSIel69etXgmUw7zFJC4Qs15tzqVoYgiEWLFsXGxr59+7b+40OGDHnw4EFpaamZmZmxsfGLFy/u3r3b4Js4eXl5AoGg5dXB1rSDELpy5YqhoaGcPkwrHLm+KVu2bDl+/PiDBw9cXFy0tbWtrKzCw8N3794dHR3d4DoJpr0pw4YNy8zMlH0ABYpC3keYGzduyKbA3NxciUQi+/OJEycaPA3XYN66deujR4/asYepstm/f3+XLl2++OIL2nqU68hs/Rd+mXaYpQaGbauo8/LlS9SB/cvaqpX7gpWUlBgaGtbf76w1iouL+Xz+okWL2pvuf2T7nfn6+rby+Yqy31ljrd8TU7HeFHnv9SlTVlbG5XL9/f3l2gtopdbvialYg7mDe302Nnbs2KFDh1LYIPsUFBRoaGgcOHCAqgZh7sNLsVfUYmJi1NTUbGxscAf5Fx0dncDAQH9//7/++quVv0KS5Hfffaetrd3xVf2MjIypU6du2LBh9uzZHWyKTeBNaUxLS2vAgAFwmZrCUfLB/NNPP8XExNy9exdL7wrh119/FQgEDS69oIGSj0z5UfhCzcbGpsHlWUxgY2MTHx8fHBxcVlbWmucXFBRkZGSEh4d369atg10fPXrU29vb29u7g+2wD7wpjcFtbxWUMg/mIUOGuLq6wpVqzSktLT1y5Mjq1as1NDTo712ZR6b80HSZoZw8evRo2LBhuFM0zdjYuPFttJrTrVu3e/fuUdLv3r17KWmHleBNacDBweHkyZM1NTUtf5EKMJAyD2YvLy8XF5fo6OgRI0bgzsI4v//+O0Lom2++wRVAmUemnCjwilptbW1iYmKDOyAAAFrP3t6+pqYGbnsLFIuzs/OIESNYuXbSQZWVlX/++ef333/fmq2cgKJQ4ELtn3/+qampsbOzwx0EAEVlbm6uq6sbFxeHOwgAbbN58+aQkJBHjx7hDsIshw4dEgqF3333He4ggEoKXKjFx8draWnJb4MUAFiPIAgbGxso1IDCGT169LBhw3bu3Ik7CINUV1f/+uuvS5cu7dSpE+4sgEoKXKg9fvzY1taWns0xAGAre3t7WJYAimjDhg2BgYENtidSZidOnCgpKVm1ahXuIIBiClzlxMfHDx48GHcKABSbvb19cnJyeXk57iAAtM348eMHDx68e/du3EEYQSQS/fLLL4sXL2bZNpcAKW6hJhQKk5KS4AI1ADro008/lUqlsn1XAFAsGzduvHz5cmJiIu4g+J06dert27dr1qzBHQRQT1ELtWfPnolEIlhRA6CDjIyMunXrBmc/gSKaPHmylZXVrl27cAfBTCKR7N+//8svv+zVqxfuLIB6ilqoxcfH6+jomJiY4A4CgMIbPHgwfJ8AKCKCIDZt2nTp0qW0tDTcWXDy9fXNyMj44YcfcAcBcqGohdrjx4/t7OzgmwQAdJy9vT0UakBBTZ8+vX///sq8qEaS5N69e+fMmdOvXz/cWYBcKGqh8/jxYzjvCQAl7O3tMzMzP3z4gDsIAG3G4XDWrVt37ty5Fy9e4M6CR0BAQFJS0o8//og7CJAXhSzUqqqqkpOT4ZsEAFDC3t6eJElYVAMKysPDw8TEhMU7CLVsz54906ZNGzBgAO4gQF4UslBLSEgQi8VQqAFACX19/d69e0OhBhQUl8tdv3796dOns7KycGeh240bNx4/frx+/XrcQYAcKWSh9vjxYz09vT59+uAOAgBLwGVqQKHNmzevR48e+/btwx2Ebnv27JkwYQIsW7CbohZqdnZ2BEHgDgIAS0ChpjzKyspwR6Aej8dbt27df/7zn5ycHNxZ6BMeHn7//n0WL6eJRCLcERhBBXeA9oiPj3d3d8fS9bt37xTrklWpVJqSkmJpadnyc2jLIw8ZGRkCgaDJvxIKhTdu3Pj88881NDRoTtURb9++pblHe3v7/Pz8nJycHj160Nw1qFNVVUXD4cXLy2vjxo18Pl/eHcnQVhcuWLBg9+7d+/fvP3DgAD09Yuft7T1y5Mhhw4bR0Bf9c19BQcHt27fnzp0rvy4UZu4jFU1VVRWXy71w4QL9XWtra+N+u+Tl2LFj9P97dtytW7dw/8vJUUlJCW3/kqWlpQRBBAYG0tYjaGDhwoW4R5y8uLm50fNvePDgQXV19dzcXHq6wysmJgYhFBERQUNfMPfhRZAkifsfqm3i4+Pt7e1TU1PNzMxo7vqff/6RSCQ0d9pxBQUF7u7uYrHYwOD/2DvPgCiSpo/37C67S85IkpwEARMGFPE/gWL1AAAgAElEQVRAFMw5Y/YMp5xZUYwYQFG50zNn0VPPiIJ6KmZPESUrKggYCErOsOn9MPfycAbYMDM9u9u/T7rMVP2XKaZqerqrTSZNmjRo0CAul/vVMRYWFvr6+lDkyUJlZWVmZuZXH2ZmZkZFRcXGxvL5fBaLFR0dbWxsDEWejLi7u1PZKdDGxmbq1KkhISGUeUQ05cOHD0VFRWR7OXLkyM6dO8eOHUtlc1QtLS1qmpPX1dXZ2tqOGzdu69atFLiDS79+/UpLS/FyjWyg5L6DBw/u3r173rx5U6ZMIc+LfOQ+2JWixBw6dEhVVZXP58MWIk8EBQVhGIZhGIPB0NLSCgkJyc/Phy2KeB48eODv749hmIqKCgCAyWTOmzcPtii5YejQoSNGjICtAkEifD7fzMwMAGBhYQFbC1ls27ZNXV398+fPsIWQy4sXLzAMi42NhS2ERIYMGQIA0NTULC0tha0FMvK3mCA1NbVt27ZMJhO2EHkiODiYzWaLRCKhUFhRUREeHt66devAwMC0tDTY0gigvr7++PHjbdq08fLyunXrlkgkwqegMpnMZcuWwVYnN7i7uycnJ8NWgSCRmJiYT58+AQDev3//7VC0YjBr1ix1dfXIyEjYQsglNDS0Xbt2/v7+sIWQCL4BcW1tbUREBGwtkJG/Qi0lJcXNzQ22CjnD2Nh43rx5LNa/a0d4PB6fzz9z5oyrq2u3bt3wmUlwFUrH58+f8aJzypQp+GZ/fD4f/5GKisqCBQvw8QOEOLi7u2dlZVVVVcEWgiCL3377Db8JsFgsRZ3fqaamtmDBgl27dpWUlMDWQhavXr26fPnyqlWrFLj1QVlZWX5+PgCAz+dv27atoKAAtiKYyF+hlpqa6urqCluF/LFs2TL8hWAj+LBTQkLCoEGD2rZtu3///rq6OkjqJCYtLW3atGnm5uarV6/+8uWLUCj8qtZks9loi2KJaNeunVAoTE1NhS0EQQqZmZl37tzBn2SEQuHVq1dhKyKLuXPnstns33//HbYQstiwYYOjo+PgwYNhCyGRxMTExlu6QCDYuHEjXD1wkbNCLS8v78uXL2hETQoMDAwWLlzYOKjWCH7jzsjImDVrloODA/WNIaSgsrJyxIgRhw8f5vF4DQ0N3x7AYrGWLFkiB1NE6YSlpaWOjk5SUhJsIQhS2LVrV+Ofv1AovHPnTm1tLVxJJKGhoREUFBQZGVlWVgZbC/FkZWWdPXs2JCSEypVG1JOYmNg4ssDj8fbu3fvu3Tu4kiAiZ1c6JSUFAIBG1KRj0aJF3673xMHbyaxYscLU1JRaUdKgqal569YtMzOzr8YIG8Fff1CsSt7BMMzNzQ1NU1NIampq8Aebxk8aGhru378PURKp4Mundu/eDVsI8WzatMnS0nLUqFGwhZDLixcvmr4kwTBs3bp1EPXARf4KNTMzMwMDA9hC5BJdXd0lS5Z8O6iGs3nz5lmzZlEsSWrMzc3v3r2rra397ddhsVghISEK3PiHPNB6AkUlKiqqurq66SdsNvvatWuw9JCNtrb23Llzt2/fXllZCVsLkXz48CEqKmrFihU/uo0rDPHx8Y0TjgEAPB4vKirq5cuXECVBRM4KtdTUVPTeUxYWLlz4bRN/DMPWrFkjdwsk7ezsbt26xWazv1oCrKOj88svv8BSJde4u7unpqbKTbduhNjs2rXrq08aGhqio6OhiKGGBQsWNDQ07N27F7YQIgkLC2vVqtWECRNgCyGXurq6b190MpnMFStWQNEDHTkr1NCSTxnR0NBYvnx508qGwWBgGCaP07n4fP727dt5PJ6KikrjdA0mk7l27Vr52jCKPrRr1666ulq+NklDtMjDhw+/W39nZ2dnZWVBkUQBenp6c+bM2bZtW01NDWwtxFBQUHDkyJHly5ez2WzYWsjlu/11eTze5cuXnz59CkUSXOSpUOPxeBkZGahQk5G5c+dqa2vj/2YymYGBgZs2bQoKCpKvnX0bGhrGjh177ty5K1euxMTEMJlMvOI0MjKaPn06bHXyStu2bVksFnr7qWDs3Lnzu7M5WSzWjRs3qNdDGYsXL66urj5w4ABsIcQQERGhra1Napt+mpCYmPjdVqksFis4OJh6PfCB2W1XQvD8kZqaCluI3LNjxw4mk8lkMseMGSMQCEQi0Z49exgMxrJly2BLE4vq6uq+fftqa2s/ePAA/yQ6Ohr/wz506BBcbfKOi4vLihUrYKtAEEZ+fv6P5jMxGIyAgADYAsllwYIFJiYmNTU1sIXISlFRkYaGRkREBGwhVDB79uwfLRQDANy+fRu2QKqRp0LtxIkTbDa7vr4ethC5p7a21tjYeNCgQTwer/HDkydPslisWbNm4aUbbSkrK+vevbuent7Tp0+bfn7y5ElHR8em3wghBePGjevXrx9sFQjCCA0NBQCwWCw2m83hcL6a08nlcmtra2FrJJH8/HxVVdU//vgDthBZWblypb6+fmVlJWwhVNChQ4emlZmKikrj214mkzl+/HjYAqlGnlaOpKamOjs7K/zreQrgcrmnT5/u2rVr00ftcePGaWhojBo1qrKy8ujRo/RcVVRSUhIQEPDhw4d79+61bdu26Y/GjRvXp08fesqWI9zd3RW4U6gSEhAQ4OTkVP7/REVFWVhY6OjoFBcXl5aWVlVVJSQk9OjRA7ZMsjA2Np42bVpYWNj06dPlN3eUl5f/8ccfixcv/nYpmOIhEAgaV3caGBiYmJi8ffs2JCTE1dXV0dHRxsammcE2hQV2pSgB/v7+EydOhK1CwYmNjVVVVR01alRDQwNsLV+Tl5fXtm1bKyurzMxM2FoUFnzSUmFhIWwhCFLQ1dXdt28fbBWU8uHDBw6Hc+DAAdhCpCc0NFRLS0tJ9iavrKz8888/nz9/XlFRIRKJMjIyAADPnz+HrQsm8rSYIC0t7atBFAThBAQEXL9+/fr160OGDKFV4/Ls7GwvLy+BQPDw4UNbW1vYchQWvJu00vYrUmxEIlFFRUXjWiIlwdzcfNKkSZs3b27al0uOqK6u/v3334OCgnR0dGBroQINDY0xY8Z06NBBU1MTAIAPob158wa2LpjITaFWWVn56dMnZ2dn2EIUn549e96+ffvp06cBAQE0aRf56tUrLy8vHR2d+/fvo33WScXExERXV/fVq1ewhSCIp6qqSiAQKEm+b8rKlSs/fvx48uRJ2EKkYc+ePTU1NUFBQbCFwEFFRcXKygoVavJBRkaGSCRydHSELUQp6NSp07179968eePr61tcXAxXzPPnz3v27GlraxsXF4c2paAAJycnVKgpJOXl5QAAZRtRAwBYWFiMGzduw4YNcjeoVldXt2PHjtmzZxsaGsLWAg0HBwdUqMkHGRkZbDbbysoKthBlwcXF5c6dO/n5+X5+fl++fIEl4/79+z4+Pp07d75+/TraFYoa2rRpgwo1hURpCzUAQEhISE5Ozl9//QVbiGQcPHiwpKREyXcuRoWa3BRqr1+/dnBwQGv6qMTR0fHhw4eVlZU9e/b8+PEj9QJiY2P9/f0DAgIuXbqkqqpKvQDlpE2bNmiOmkJSVlYGlLVQs7W1HT16dGhoqBztkMbj8SIiIqZPn25qagpbC0zs7e1RoSYfZGRkODk5wVahdFhaWj548IDFYnl5eVG828yZM2eGDBkyYsSIqKgoZVyPDY82bdrk5eXhSR2hSCjziBoAYOXKla9fv7548SJsIeJy/PjxvLy8xYsXwxYCGUdHx/Ly8sLCQthCoIEKNUQLGBsb3759W0dHx8vLKy0tjRqnx48fnzBhwsyZM48dO4aGUSkGX7KDr4pHKBLl5eUsFktdXR22EDi0adNm+PDhoaGhIpEItpaWEQgEW7ZsmThxoqWlJWwtkHFwcAAAKPOgmnwUagKBIDMzE60kgIWRkdGdO3esra19fX2TkpLIdrdr167JkycvWrRo586dGIaR7Q7xFZaWlmpqamiamuJRXl6utMNpOGvWrElNTb1y5QpsIS1z+vTprKyspUuXwhYCHzMzMw0NDVSo0Z3s7Oz6+npUqEFER0fn77//dnNz++mnn/755x/yHIWHhwcFBW3dujUsLIw8L4hmYDAYjo6OqFBTPMrKypS8UHNxcRk0aNC6detoPqgmEonCwsLGjBmDDyYpORiG2dnZvX37FrYQaMhHoYa/hUGFGlzU1dWvXr3aq1cvPz+/W7duEW5fJBItWrRo5cqV+/fvX7RoEeH2EeKDFn4qJOXl5UrYRO0rVq9enZiYiO/AQVsuXLiQnp6+fPly2ELogpIv/JSbQs3MzAx1Z4AOh8M5e/Zsv379BgwYcPnyZQItCwSCGTNm7Nq169SpU9OnTyfQMkIK0MJPhQS9+gQAtG/fPiAgYN26dbCFNEdYWNjQoUPRTjyNoEJNDnj9+jVaSUATVFRU/vzzz/Hjx48aNercuXOE2GxoaBg7dmxUVNTZs2dHjRpFiE2ELLRp0yYnJ6empga2EASRoEINZ/Xq1U+ePLl9+zZsId8nNjY2ISEhODgYthAaYW9vn5mZKRAIYAuBg3wUamjJJ61gMpkHDx6cM2fOmDFjjhw5IqO1mpqawYMHX7t2LSYmZvDgwYQoRMiIs7OzUChU5kdYhQQVajhdunTx8/MLDQ2FLeT7bN68uV+/fp06dYIthEY4ODjU19fn5ubCFgIHuSnU0AQ1WoFh2I4dO0JCQqZNm/bbb79JbaeqqmrQoEFPnz69efOmr68vgQoRsmBnZ6eiooKmqSkYZWVlaI4aztq1a+/du3f//n3YQr4mLi7u4cOHaDjtK/ACQGkfHeWgUCsuLi4qKkKFGg1Zu3bt5s2b58+fv379eilOLy0t7d27d3p6+r1797p27Uq4PITUqKio2NraokJNwUAjao14enp6e3tv2LABtpCv2bhxo4+PT48ePWALoRe6uroGBgZKW6jJQStRPFugV5/0ZNmyZZqamvPmzaupqZGooUZBQUGfPn0qKioePHhgZ2dHnkKEdDg7O6NCTcFAhVpTVq1a1bt370ePHnXv3h22ln958uRJXFwcbSfPwcXBwUFpO3TIwYja69ev1dXVW7duDVsI4vvMmTPn2LFj27Ztmzt3rpjdiXJycry8vHg83sOHD1GVRk/Qwk/FAxVqTfH19e3Ro8emTZtgC/kfoaGhXbp08fHxgS2Ejijzwk85GFF78+aNvb096lBPZyZMmKCiohIYGNjQ0LB3714Go7kHgIyMDD8/PyMjo+vXrxsaGlImEiERjo6OWVlZQqGw+auJkBeEQmFVVRUq1JqyYsWKfv36PXv2zMPDA7YWkJSUdO3aNbnYNQEKDg4Od+/eha0CDnJwC3737p2trS1sFYgWGD169MWLF0+cODF+/Hgej/ejw168eNGzZ09ra+u4uDhUpdEZa2vr+vr6T58+wRaCIIaKigqhUIgKtaYEBAR4eHjQZFBtw4YN7u7u/fr1gy2Epjg4OLx//762tha2EAjIQaGWnZ1tbW0NWwWiZfr374932Rg2bFhdXd23Bzx48MDHx8fV1TU2NhYlDJqDPx29e/cOthAEMZSXlwMA0KrPrwgJCbl8+XJKSgpcGa9evbp48WJISAh6d/QjHBwchEJhVlYWbCEQkINC7d27d6hQkxd69ep1+/btx48fBwQEVFVVNf1RXFxcv379vL29Y2JiNDQ0YClEiImxsbGamhoq1BQGvFBDD0hfMXDgwA4dOmzcuBGujI0bNzo6Og4dOhSuDDpjZ2fHYDCUc5oa3Qu18vLy0tJSVKjJER4eHjdv3kxPTw8ICMBzAwDg8uXL/fv3HzJkyPnz57lcLlyFCHHAMMza2hoVagpDWVkZQIXaN2AYtnz58nPnzqWlpcHSkJWVdebMmZUrV6L5oM2gqqraunVrVKjRETxP2NjYwBaCkIAOHTrcu3cvOzvbx8enqKgoKipqxIgRU6dOPXbsGIslB+tXEDi2traoUFMY0Ijajxg+fLiLi4tE3YWIZfPmzRYWFqNHj4YlQF5Q2oWfdC/UsrOzMQyztLSELQQhGW3atHn48GF5ebmrq+ukSZMWLVr0xx9/oOdF+cLGxkY5Z4QoJOXl5RwOB41nfwuGYcHBwadPn4ZSBHz48OHEiRPBwcHoIbZFUKFGU7Kzs01NTdHNRR6xsrIaNWpUQUGBjo7Ozz//DFsOQmJsbGzQiJrCgJqoNcOoUaPs7OygDKpt2bKlVatWEydOpN613GFvb48KNTqClnzKKSKRaMmSJeHh4REREa1bt/7pp5+Utqm0/GJjY/Ply5eKigrYQhAEgAq1ZmAymcHBwVFRUdnZ2VT6LSwsPHTo0NKlS9lsNpV+5RQHB4cvX76UlJTAFkI1dC/U0JJPeUQgEMycOTMyMvLw4cOLFi26c+eOqampl5cX9DXwCInA54ZSnLoQJFFeXo56czTDhAkTrKysKB5Ui4iI0NLSmjZtGpVO5RcHBwcAgBI+89O9UEMjanIHn8+fOnXq8ePHz549O2nSJACArq7uzZs327Zt26tXrydPnsAWiBAXa2trBoOB3n4qBmVlZWhErRmYTObSpUuPHDmSm5tLjceSkpJ9+/YtWrRIVVWVGo/yjpWVFZfLVcK3n7Qu1EQiUW5uLirU5Ij6+vqRI0eeP3/+ypUrTXsCaWhoREdHd+nSxc/PLy4uDqJChPhwuVxTU1O0nkAxQK8+W2TSpElmZmYRERHUuIuMjFRRUZk1axY17hQAJpNpY2ODRtToRX5+fm1tLerNIS9UV1cPGDDg3r17N2/e9PPz++qnampqly9f7tu378CBA2/cuAFFIUJSbGxs0KtPxQAVai2ioqKyZMmSgwcPUrBzWkVFxa5du+bPn6+pqUm2L0VCORd+0rpQwzMEGlGTC0pLS/38/FJTU+/cudOtW7fvHsNms8+cOTNq1KhBgwZduHCBYoUIKbC1tUUjaooBKtTEYdq0afr6+tu2bSPb0c6dOwUCwdy5c8l2pGCgQo12vHv3js1mm5qawhaCaIHCwsJevXp9+vTpwYMH7u7uzRzJZDIPHz48a9asUaNGHTt2jDKFCOlAmxMoDGiOmjhwOJzFixfv27fv8+fP5Hmprq7+7bff5s6dq6urS54XhQTv0CESiWALoRRad9jLzs62tLRkMpmwhchEdXV1RkZGTk5Obm7u+/fvi4uLi4uLi4qKhEJhRUWFQCAAAGhoaKioqGhoaOjr6xsYGJiYmFhZWVlaWtra2lpYWMD+Bi2Qm5vr5+fHYDAePnzYunXrFo/HMCwyMpLNZk+ZMqWiomLevHkUiJQagUCQlZX17t07/AoWFhbiV7Curq62thbfe57D4aipqbHZbH19fX19fSMjIwsLCysrKxsbG3t7exUVFdhfQnpsbW1zcnIEAoG8/xkqKuLHJ4/Hu3XrVnZ2tiLFJxnMmjVry5Yt27dvJ28F6N69e6urq3/99VeS7Csw1tbWrVq1OnHiRFFRkULm0++C0bkynTJlSl5entzNZ6qrq0tISHj06NGzZ8+Sk5PfvXsnFAoxDMPDxcDAAE/nTCZTW1sbb9ZfVVXF4/GqqqqKi4s/f/6cn5+fk5NTW1sLANDV1XVzc2vXrp2np2f37t3NzMwgf73/8vr1az8/Py0trZs3b5qYmEh0bnh4eHBw8NatWxctWkSSPCkQiUQZGRmPHz/+559/kpOT09PT8Quho6NjaWlpYmKC//FzuVxVVVW8FXNDQ0N1dXVDQ0NRUVFxcXFhYWFubm5RUREAgM1mOzs7u7m5denSpUePHi4uLvJV8Tx58qRbt245OTlodxCagOKTArZu3bpu3bqcnBwDAwPCjdfX19vY2IwZM4aCF6wKgFLl0x9B60Ltp59+cnR03Lt3L2whYpGSknL9+vVr1649fvy4oaHB1NS0a9eubm5urq6ubdu2tbS05HA4EhksKCh4+/ZtampqcnLyixcvkpKS+Hy+jY1N3759/f39fX191dXVSfouYpKYmOjv729paXnt2jV9fX0pLOzatSsoKGjp0qUQN9rDKSwsvHHjxrVr127dulVUVKSuru7h4dG+fXtXV1c3NzdbW1tJe1BVVVVlZWWlpqampqYmJSU9efKkoqJCW1vbx8cnICDA399fnNFH6BQWFhobG9+9e9fb2xu2FqUGxSeVVFdXW1tbz5o1a/369YQb371798KFC7OysuSlSoCCEubT5hDRGDs7u9DQUNgqWuDFixfLly/Hl6YaGRkFBgaeOHEiOzubcEdVVVVxcXEhISGdOnViMBhqamrjx4+/fv06n88n3Jc4PH36VE9Pr1evXhUVFbLY2bdvH4PBWLJkiVAoJEqb+BQUFPzxxx/e3t4MBoPD4fj5+W3btu3Zs2c8Ho9YRwKBIDk5eefOnQMGDFBXV8cwrEePHvv27SstLSXWEbEIhUIOh3Py5EnYQpQUFJ+w2LBhg5aWVklJCbFmGxoarKys5syZQ6xZhUFp82nz0LpQU1dXP3ToEGwV36e0tHTXrl34xHkrK6slS5Y8ffpUIBBQ472wsHDPnj2enp4AABMTk0WLFiUnJ1PjGicuLk5TU3PgwIG1tbWyWzt16pSKisrMmTMp+wUKBIKYmJghQ4awWCwNDY2xY8deuHChqqqKGu+1tbUxMTFjx47FX06NHDkyOjq6oaGBGu+SYmlpGR4eDluFcoHiEzrl5eW6urrr168n1uyhQ4dUVFTIqDzkGiXPpy1C30KttLQUAHDt2jXYQr7m48eP8+fPV1dXV1dXnzp16uPHj6EMBeG8fft29erV+POHp6fn1atXKRATHR3N5XLHjRtH4L270SbhQwVfUVdXt3fvXhsbGwzDfvrpp1OnTtXU1JDqsRnKy8sPHTqEj5eYmJhs3bq1srISlpgf4enpGRQUBFuFsoDikz6sWbNGT09PxjcGTeHz+Q4ODlOmTCHKoAKA8qk40LdQe/nyJQCAVoVtVlbWzz//zOFwzM3NIyMjy8vLYSv6F6FQeO/evQEDBmAY1q5du7Nnz5L3LHLy5EkWizVr1izCXcTFxWloaBA1SvctVVVV27dvNzMz43A4M2fOfP36NRlepCMnJ2fx4sX4MqV169YR/sJFFkaOHDl8+HDYKhQfFJ90o6ysTEdHJywsjCiDJ0+eZDKZGRkZRBmUa1A+FR/6Fmq3bt0CAHz58gW2EJFIJHr9+vWECRNYLJatre3+/fvr6+thK/o+SUlJo0aNYjAYTk5Ox48fJ/xpYPfu3QwGY9myZcSabeT+/ftaWloBAQHEjiJUV1dv3LjR0NBQXV19wYIFnz59ItA4gRQXF69evVpXV1dLS2v58uU0SYfz58/v2rUrbBWKDIpP2hIcHGxgYEDIOKJQKHR1dR07dqzspuQdlE8lhb6F2vHjx9lsNvSBx5qampCQEA6H4+zsHBUVRc+Zhl+RkZExadIkFovVrVu3xMREosziCzPXrl1LlMHvkpCQYGBg0LNnT6IesC5evGhpaamtrR0SEkKTur95KioqwsLCjIyMjIyMjhw5Av1PYOvWra1bt4arQYFB8UlnioqKNDU1t23bJrupCxcuYBiWkpIiuyn5BeVT6aBvoRYWFmZlZQVXw5UrV6ytrdXV1cPCwsieO0U4ycnJ3bt3ZzAYP//8c1lZmYzW1qxZgzeqJURb86Snp5uamnbq1KmoqEgWO1lZWf379wcAjBw5sqCggCh51FBWVhYUFMRkMnv06AH35n7q1CkWiyUXt1T5AsWnXLB48WJjY2PZx/g9PDyGDh1KiCQ5BeVTqaFvofbrr796enrC8p6TkzN48GAAwNixY/Py8mDJkBGhUHjo0CFDQ0MTE5NTp05JbeTXX39lMplHjhwhVF1zvH79unXr1s7OztK9Bqqvr1+/fr2qqqqLi8vdu3cJl0cZL1686Nq1K4vFWrhwIax53Pfu3QMA5OfnQ/GukKD4lCMKCgrU1NR27twpi5HY2FgAQHx8PFGq5AuUT2WEvoXayJEjR4wYAcX1+fPndXR0nJycbt++DUUAsRQXF8+cOZPBYIwdO1bSFUx8Pn/y5MlsNvv8+fMkyfsRubm59vb2jo6O79+/l+jErKysTp06qaurb9myRQF6CggEgv379+vr6zs4OCQlJVEvIDMzEwCQkJBAvWuFBMWn3BEUFGRubl5XVye1hR49evj7+xMoSY5A+VR26Fuode/efd68eRQ7raurCwoKwjAsMDCwurqaYu+kEhcXZ2JiYm9vL/5b9vr6+mHDhqmrq9+4cYNUbT8iPz/f1dXV0tLy7du3Yp5y8eJFXV1dZ2fntLQ0UrVRTGFhoZ+fH5fLpebtc1Nqa2sxDLt8+TLFfhUSFJ/ySF5eHpfL3bt3r3Sn37lzBwBw//59YlXRH5RPiYK+hZq1tfWmTZuo9JiTk9O1a1dNTU2KRzUpo7CwsE+fPhwOR5ybaVVVVZ8+fXR0dB49ekSBth9RUlLSpUsXY2PjFufB4DcFAIDi3RRw+Hz+mjVrmEzm0KFDKe4Xr6+vv3v3bio9Kh4oPuWa2bNnW1hYSLc+sXfv3r169SJcEs1B+ZRAaFqoCYVCLpd79OhRyjxGR0draWm1b9/+zZs3lDmlHj6fv3r1agaDMWbMmGbalZWWlnp6ehoZGcFa5NKUsrKy7t276+npPX369EfHfPz4sUOHDlpaWmfOnKFSG/XcvHmzVatWdnZ2L1++pMypm5vbypUrKXOneKD4lHfev3/PZrMPHz4s6YlPnjwBANy8eZMMVbQF5VNioWmhVlRUBAD4+++/qXF3+PBhFos1depUUn/X9OHmzZs6Ojre3t7fXb1SUFDQrl07CwsL+rTcrK6u7tOnj7a29neH9169emVpaens7Cz+G1K5Ji8vz9PTU19f/8mTJ9R4DAgImDRpEjW+FA8Un4rBtGnTbG1tJV2uOGDAgM6dO5MkiZ6gfEo4NC3UUlJSAADUTOOIjIzEMMqwVo0AACAASURBVGzZsmWK3RDoK9LS0szNzdu2bfvx48emn+fm5jo4OFhbW2dlZcHS9l3q6+uHDh2qrq7+Vfn+7NkzQ0NDDw8PuehBRRR1dXXDhg1TU1OLiYmhwN306dN79+5NgSPFA8UnbC2EkZWVxWKxTpw4If4pSUlJGIZFR0eTp4puoHxKhn2aFmo3btwAAJDd+VooFC5ZsgTDsIiICFId0ZOcnBxHR0crK6vGkbN3797Z2NhI3RSDbPh8/sSJEzkczoULF/BPbt++ramp2bt3b8pW39AHPp8/ffp0Fot16NAhsn2tWbOmTZs2ZHtRPFB8UhOflBEYGOjk5CT+hkIjRoxwd3dXkpIF5dOv8imB0LRQO3LkiKqqKqkuBALBxIkT2Wz2n3/+SaojOvP582cPD49WrVqlpqampaUR0maWVBrv/sePHz937hybzQ4MDFSAHgfS0XhnlLHJU4vs379fS0uLVBeKB4pPyuKTMt68ecNkMsWcaPjq1SsGg3H27FmyVdEBlE9F/82nxFqmaaG2ceNGW1tbUl3MmzePw+Fcv36dVC/0p7KysmfPnqampoaGhj4+PvTvWikUCoOCgrp3785ms3/55RcleVpthk2bNmEYFhUVRZ6LmJgYAAD9Y4M+3Lx5E8UnDgXxSSVjxoxxcXERZ1BN0uE3uQblUxw8n5qZmWVnZxNolqaF2vz587t160ae/dDQUOV51mmR8vLy9u3bm5ub5+bmwtYiFs+ePdPU1Bw7dqyS3ARbZPHixSoqKrGxsSTZj4+PBwC8e/eOJPsKBorPryA7PqkkPT2dwWBcvHix+cPwCW3Hjx+nRhVcUD5tCp5P7ezsCNwXjqaFWmBg4IABA0gyvn//fgDAb7/9RpJ9eaSwsNDe3r5Tp070HzXJzMxs1aqVr6+vLI3CFQyhUDh16lQ1NTWSmt5lZWUBAJ49e0aGcQUDxee3kB2fFDNs2LD27ds3P1Y6Y8YMGxsbudvRUgpQPv0WwvMpTQu1/v37k9QO4PLlyywWa926dWQYl2vwBOPj40PnBPPp0ydra2sPDw/6F5QUw+fzhwwZoq+vT0b/qrKyMgAAeq/RIig+fwSp8UkxiYmJGIZdvXr1Rwfk5uay2ez9+/dTqQoKKJ/+CGLzKU0LtW7dui1YsIBws2lpaWpqarNnzybcsmKQkJCgoaERFBQEW8j3aWho6Natm5OTk1J1OhCf6urqrl27Ojg4EL7GUCgUstnskydPEmtWwUDx2TzkxSf1DBw4sEuXLj/66Zw5c1q3bi3dNgZyBMqnzUNgPqVpoebo6Lh+/XpibdbU1Li5uXXp0kVpF2GJw5kzZzAMo34LdnFYvHixurp6eno6bCH0paCgwNjYeNSoUYRbbtWq1e+//064WUUCxWeLkBefFPP8+XMMw77bkj0/P19VVXXXrl3Uq6ISlE/Fgah8StNCzdDQkPBAnzx5sq6ubk5ODrFmFY8ZM2bo6OjQbeZ4bGwshmFU7iomp9y+fZvJZB44cIBYs87OzmvWrCHWpiKB4lNMSIpP6unbt6+np+e3n8+fP9/Y2LimpoZ6SVSC8qmYEJJP6VioCYVCFotF7E6up06dwjDs0qVLBNpUVGpra9u3b+/h4UGfofsPHz4YGBhMnjwZthD5YMWKFVwul9h9Wr28vObNm0egQUUCxadEkBGf1PP48WMAwJ07d5p++OXLFw0NjR07dkASRREon4oPIfmUjoUa4TOXX716pa6uvnjxYqIMKjwZGRkaGhoLFy6ELUQkEol4PF737t2dnZ2rqqpga5EPeDyel5eXk5MTgb+xIUOGjBs3jihrigSKT0khIz6h4OPj4+Pj0/STpUuXGhgYKPZSEpRPJUX2fErHQu3du3cAgPj4eEKsCYVCLy8vDw8P9CpdIo4ePcpgMOiwrXJkZCSHwyG817Ni8/HjR11d3SVLlhBlcNq0aX379iXKmiKB4lMKCI9PKNy5cwcA8ODBA/y/xcXFmpqa4eHhcFWRCsqn0iFjPqVjoZaQkAAAyMzMJMTakSNHGAzG06dPCbGmVPj4+HTo0IHP50PUkJ+fr6OjExISAlGDnLJ7924Wi5WcnEyItaVLl3bq1IkQU4oEik+pITY+YeHl5eXv74//OyQkRE9PTwHWtDYDyqdSI0s+pWOh9vfffxO1I3tJSYmRkRGaWyMdr1+/5nA4cJcvjR071sLCQt5fkUBBIBB06dLFy8uLkF2MwsPDra2tZbejYKD4lBpi4xMWN27cAAA8ffq0rKxMR0cnNDQUtiISQflUFmTJp3Qs1E6fPs1gMAjZfWXWrFmtWrUqLS2V3ZRysnz5ci0trby8PCje7927h2FYdHQ0FO8KQEJCApPJPHHihOymDh48iPZl/woUnzJCYHxCxNPTc+DAgevXr9fW1lbsXIPyqYxInU/pWKjt3r1bX19fdjv4XUBhNgOGQnV1tbW1dWBgIPWu6+vr27RpM3jwYOpdKxKzZ88m5N568eJFAAB9FgJDB8UnIRAVnxC5cuUKAEBHR2fVqlWwtZAIyqeyI3U+pWOhtmHDBnt7e9nt+Pj49OzZU67H1enA+fPnMQxLSkqi2O+ePXu4XC7q0yMjJSUl+vr6sqeQ+/fvAwAI3GZY3kHxSQhExSdczM3NWSyWYu9IgfIpIUiXTxmAfpSWlurp6clo5OnTp3FxcevWrcMwjBBVSgu+A/HmzZupdMrj8bZs2TJ16lRLS0sq/Soeurq68+fP//333/GuN1Kjr68PACguLiZIl3yD4pMoiIpPiNTU1FRWVvL5/Pz8fNhayALlU6KQLp/SsVArKSmRvVALDQ3t2rVrr169iFCk7CxbtuzcuXOvX7+mzOOpU6c+fvy4ZMkSyjwqMPPmzcMwbM+ePbIYQYVaU1B8Eggh8QmRvXv38ng8Z2dnip9mqQTlUwKRJp+SNL4nC4MHDx4/frwsFpKSkjAMi4mJIUqSkiMQCFxcXChrvE6xO2VgxYoV+vr6svThbGhowDDs4sWLBKqSU1B8Eo7s8QmL2tpaU1PThQsXnj59mslkZmRkwFZEPCifEosUNxA6Fmo9e/acO3euLBZGjhzp7u6O3qYTyNGjR1VUVKjZAPTs2bMMBkMhb3mwKCoqkn1nG01NzUOHDhElSX5B8Uk4hMQnFHbu3Mnlcj99+iQQCNq2bTtx4kTYiogH5VPCkTSf0vHVZ2VlpZaWltSnZ2Zmnj9/PiQkBL1NJ5Dx48ebm5tv376dAl/h4eEjRoxwdHSkwJeSoK+v//PPP0dERPD5fKmNaGpqVlZWEqhKTkHxSTiExCf18Hi8iIiI6dOnm5qaMhiMZcuWnTx58u3bt7B1EQnKp2QgaT6lY6FWVVWlrq4u9en79+83MzMbOnQogZIQLBbrl19+OXHiRE1NDamO4uPjnz9/Pn/+fFK9KCG//vprQUFBTEyM1BY0NDSqqqoIlCSPoPgkCdnjk3qOHDmSl5e3ePFi/L9jx461tbXdsmULXFXEgvIpGUiaTxWtUGtoaDh27Nj06dOZTCaxqhCTJ0+uq6v766+/SPVy4MABV1fXbt26kepFCbGwsPD19T1w4IDUFlChBlB8kobs8UkxPB4vLCxsypQpjSt/mUzmsmXLjh07lpOTA1UaYaB8Sh4S5VM6FmrV1dUaGhrSnXv16tXi4uKpU6cSKwkBANDX1x8yZMjhw4fJc1FTU3PmzJnp06eT50KZmTFjxvXr1/Py8qQ7Hb36RPFJKjLGJ8WcPHny48ePy5cvb/phYGCgubm5wgyqoXxKHhLlU9oVaiKRqLq6WuoRtTNnznh7e5ubmxOrCoEzbty4hw8ffvr0iST7MTExNTU1o0ePJsm+kjNw4EANDY1z585JdzoaUUPxSSoyxieVCASCsLCw8ePHW1tbN/1cRUVl2bJlhw8fJu8mSSUon5KK+PmUdoVabW2tQCCQbkStpqYmJiZm5MiRhKtC4Pj7+2tra5N3J/3rr7969erVqlUrkuwrORwOZ9CgQWfPnpXudA0NDSUfUUPxSSoyxieVnDlzJjMz86vhNJypU6caGxtv3bqVelXEgvIp2YifT2lXqFVXVwMApCvUbty4UVdXN2zYMKJFIf6FzWYPGDDgwoULZBivq6uLjY0dMWIEGcYROCNHjnz8+LF0LdQ1NTWVeUQNxScFyBKflCESiTZv3jx69OjvrvxVUVFZtGjRvn375OUd7o9A+ZRsxM+ntCvU8Ewg3avP2NhYDw8PIyMjokUh/ke/fv0eP35Mxn4v9+/fr66u7tevH+GWEY307t2by+XeuHFDinOVfEQNxScFyBKflHH+/Pn09PTg4OAfHTBjxgw9Pb0dO3ZQqYpwUD6lADHzKe0KNXxETbpC7e+//w4ICCBaEeI/9O3bVyQS3b59m3DL165dc3V1tbCwINwyohFVVVUvL6/r169Lca66uroyj6ih+KQAWeKTGkQiUVhY2PDhw9u2bfujY7hc7sKFC/fs2fPlyxcqtRELyqcUIGY+pV2hVldXBwDgcrmSnpiRkfH+/fu+ffuSIArxP3R1dT08PG7dukW45du3b6PLRwF9+/a9deuWSCSS9EQul1tfX0+GJLkAxSc1SB2f1HDlypUXL158d3ZaU2bPnq2urh4ZGUmNKsJB+ZQaxMyntCvUGhoaAAAcDkfSEx8+fKiurt6xY0cSRCH+g5eX18OHD4m1WVZWlp6e7uXlRaxZxLf07NmzuLg4IyND0hM5HA7+HKWEoPikDKnjkxo2bNgwaNCgFhONmpraggULdu3aVVpaSo0wYkH5lDLEyae0K9TwR3YpCrVHjx517tyZxWKRIArxH7p3756enl5SUkKgzcePH4tEItRHlALatWunoaHx6NEjSU/kcrlKW6ih+KQMqeOTAq5du/bs2bOVK1eKc/DcuXPZbPZvv/1GtioyQPmUMsTJpzQt1NhstqQnxsfHo9soNXh6eopEooSEBAJtxsfH29nZGRoaEmgT8V1YLJaHh8eTJ08kPVGZCzUUn5QhdXxSwKZNmwICAjw8PMQ5WENDY968eZGRkWQsvSIblE8pQ5x8StNCTdIRtbq6ujdv3rRr144cUYj/YGhoaGpqmpKSQqDN5OTk9u3bE2gQ0Qzu7u5SXD5lnqOG4pNKpItPsrl9+/bDhw9XrFgh/im//vorhmG7d+8mTxUZoHxKJeLkU9oVavgcNUlH1NLT0/l8vpubGzmiEF/j6uqamppKoMHk5GRXV1cCDSKawdXVNS0tTSAQSHQWXqgJhUKSVNEZFJ9UIl18kk1oaKivr2+PHj3EP0VbW3vu3Lnbt2+Xr742KJ9STIv5lHaFWn19PZvNxjBMorPS09M5HI6dnR1JqhBf0bZt2/T0dKKs1dTU5OTkuLi4EGUQ0TwuLi61tbWSbh2Nr8VWwkE1FJ8UI118ksrjx4/v3bu3atUqSU9csGBBQ0PDvn37yFBFEiifUkyL+ZSOhZoUKwmys7OtrKyYTCYZkhDfYmNjk52dTZS1nJwckUhka2tLlEFE8+C/akmvIF6oKeE0NRSfFCNdfJLK2rVrPT09vb29JT1RT09v9uzZERERNTU1ZAgjA5RPKabFfEq7Qo3H40mxkiAnJ8fKyooEOcRTVVVlb28/YMAA2EJkwtrauqSkpLy8nBBr+KOzpaUlIdbIRgGuoIGBgaampqQjFvgTlBKOqKH4pBjp4pM8nj59evPmzbVr10p3+pIlS6qrqw8cOECoKBJB+ZRiWsyntCvU+Hy+FIX8+/fvaXgb1dDQ+HZCg0gkEgqFX030+e6RdAb/M87NzSXE2vv373V1dbW1tQmxRiCKfQUlTYQMBgMAoIRz1FB8Uo8U8UkeoaGhXbp08fPzk+50AwODGTNmhIeH19bWEiuMJFA+pZgW8yntuqQIhUI8H0jE58+fu3fvToYewtHU1MzKyoKtQlbwDeCI2iDl8+fPrVq1IsQUBSjMFZT08uFPUEpYqKH4pB4p4pMkkpKSYmNjr1y5IouRpUuX7t279+jRo7NnzyZKGHmgfEoxLeZT2o2oSVeoFRcX6+vrk6EH8V10dXWZTGZRUREh1oqLiw0MDAgxhRATAwOD4uJiiU7BCzW6rcWjABSf1CNFfJLE+vXr27Vr169fP1mMGBsbT506dfPmzXhbA5qD8inFtJhPaVeoCQQCKV59lpSUEBtYGRkZQ4YM0dbWVlNT69y589WrV3v37o1hGIZh06dPx4/58uVLUFCQlZUVm802NDQcNmxYUlIS/qOIiAgMw6qrqx89eoSfhbd4vnTpEvb/4JOyf3Rkiy6amsrNzR09erSmpqa+vn5gYGBpaWlOTs7AgQM1NTVNTExmzJhB+OJwBoOhp6dH1OYEJSUlenp6hJhqBF3B5tHX15c0EeJPUEpYqKH4lIv4JIOXL19evnx59erVkjYi+JZly5YVFhYeP36cEGGkgvIp7fKpiGZs2bLF0tJSolPwzHH+/HmiNLx9+1ZHR8fMzOzvv/+urKxMS0vr3bu3oaEhh8NpPCYvL8/S0rJVq1YxMTH4Md7e3lwuF99qBkddXb179+7f2h88eDAAoLa2tvkjxXGBmxo2bFhCQkJVVRV+FwgICBg8eHBiYmJlZeXevXsBAAsWLCDql9OIhYVFREQEIaaGDRs2duxYQkzhoCvYIosXL+7SpYtEp7x48QIA8PbtW2KV0B8Un3IRn2QwevRoFxcXgUBAiLWff/7ZxsaGx+MRYo0kUD6lYT6lXaEWFhZmbW0t0Sn4sucrV64QpWHkyJEAgHPnzjV+8vnzZzU1taaBNWnSJADAyZMnGz/Jz8/ncDgdO3Zs/ETGwBLHBW4qJiam8RO829O9e/caP7G2tnZ0dBTvq0uAnZ3dpk2bCDE1YMCAiRMnEmIKB13BFlmxYkW7du0kOiU5ORkAkJGRQawS+oPiUy7ik3BevXrFYDDOnDlDlMHc3Fw2m33s2DGiDJIByqc0zKe0e/UpxRw1Ho8HAFBRUSFKw/Xr1wEAffv2bfzE0NDQycmp6TGXLl1iMBhNVwUbGxu7uLg8f/7848ePhMgQ30WnTp0a/21qavrVJ2ZmZnl5eYRIagqHwyGqpVZDQwOBlw+gKygGHA5H0kYbSjtHDcWnXMQn4WzcuNHBwWHEiBFEGbSwsBg3blxoaCid/4hQPqVhPqXdqk/p5qgBAEQiESEC6uvrKysruVyuhoZG0891dXWbHoO3PPnuiv23b9+am5vLLkN8F1paWo3/ZjAYTCZTTU2t8RMmk0nGSj2RSCTFso/vIvv8j6agKygOQqFQ0l+70s5RQ/EpF/FJLFlZWadPnz5y5AhRdzmckJAQJyens2fPjh07lkCzhIPyKQ5N8intCjUpwBvk4s8BssPhcDQ1NSsrK6uqqprG1ufPn5seo6OjU1VVVVtb23Su4leIf6P59kgxXUBEuj0kvgubzSZwMRS6guLQ0NAg6eXDvyNRd3A5AsUn9UgRn8SyadMmS0vLMWPGEGvW1tZ21KhRoaGho0ePJrYEJAqUT6HQfD6lXaAwmUxJH9nxr0fgnTQgIAD8/4AtTkFBwZs3b5oeM2zYMD6f/+jRo6YfhoeHW1hY8Pl8/L9qamqNqhwdHffv3/8jj989UhwXECHwTspms4m6L+CgK9giUlw+/A9TCTeWQfFJPXALtffv30dFRa1YsYKMpB4SEvL69euLFy8SbpkQUD6FQgsBT/icOBmRYjGBSCRSU1M7evQoURoyMzP19PQaV6mkpqb6+/tbWlo2nfxYWFhoa2trY2MTGxtbVlZWXFy8d+9eNTW1pjNP/f39tbW1379///jxYxaL9fLlS/zzbyc/fvdIcVx8a6pv375MJrPp1/H29lZXVyfql9OIrq7u3r17CTE1adKk/v37E2IKB13BFpk5c6avr69Ep6SkpAAAGn8JygOKT7mITwKZNWuWhYVFfX09SfZHjhzp7u4uFApJsi8jKJ82fkKTfEq7Qm3r1q0WFhaSntW6dWuiWkXgvH79esiQIVpaWmpqap6envfu3evVq5eamlrTY4qLixcuXGhjY6OiomJoaNinT5+bN282PSAjI8PLy0tdXb1169Z//PGHSCT66ilq/PjxPzqyRRf//PNPU1MrV6589uxZ0082b9784MGDpp+sWbOGqN8Pj8fDMIyoJdwLFy7s2rUrIaYaQVeweYYPHz569GiJTsF7Dinhqk8Un3IRn0SRl5fH5XL37NlDnou0tDQGgxEdHU2eC1lA+ZRu+ZR2hdr27dvNzMwkPat9+/bBwcFk6GnE0dFRigpSUSkoKAAA3L17lxBrGzdutLOzI8RUM6Ar2BRvb+9ffvlFolOUto8aik/qkSI+iSIoKMjExKTpsAoZDB48uEOHDvQcVEP5lGJazKeKMEcNAGBkZIR/VUIoKCjQ09NrOislJycnKyvLx8eHKBfyTmFhIQDA0NCQEGutWrUi8PIBdAXFoLCwUNLLh/9h0nMGNKmg+KQeKeKTKL8HDx4MDg7mcrmkOlqzZk1iYuKNGzdI9SIdKJ9STIv5lHb3XOkKNUtLy5ycHAJllJaWzpw588OHDzU1NfHx8aNHj9bS0lq1ahWBLuSa7OxsDMOsrKwIsWZhYVFVVUXsjjHoCjaDSCTKycmR9PLhi9KVsFBD8Ukx0sUnIURERGhqajbua0Qe7du3DwgIWLduHdmOpADlU4ppMZ/S7p5Lh0LN2Nj41q1bZWVlPXv21NXVHTRokL29fXx8vI2NDVEu5J3s7GwjI6Om3WVkAQ/Q7OxsQqwBdAVbIj8/v66uztraWqKzlLZQQ/FJMdLFp+wUFxfv27dvyZIlqqqqFLhbvXr1kydP4uLiKPAlESifUkyL+ZR2DUWkK9RsbW0/fPhAYGcvX19fX19fQkwpJJmZmba2tkRZs7S0ZLFYmZmZTRtAywi6gs2QmZkJAJD0Rqm0hRqKT4qRLj5lZ/v27Ww2e+bMmdS469KlS+/evUNDQ+n2EhDlU4ppMZ/S7p6roqIiRcsiV1dXPp//6tUrMiQhviU1NdXV1ZUoa2w229HRMTU1lSiDiOZJTU3Ft0mW6Cy8NRHeD1OpQPFJMdLFp4yUl5fv3r170aJFX/XQJ5V169bdvXv3/v37lHkUB5RPKabFfEq7Qo3L5Uqxg6SDgwOXy8X7PCEoID09ncBCDQDg5uaGEiFlpKamurm5SbpFD773Itx+8bBA8Ukl0sWnjOzYsUMkEs2ePZtKp56ent7e3hs2bKDSaYugfEoxLeZTOhZqQqFQ0rbILBbLxcUlMTGRJFWIpuTm5hYXF7u5uRFo093dHe/+gKCApKQkKS4f/gRF9mo4eoLik0qki09ZqKio+P333xcsWKCjo0OlXwDAqlWrbt68+VXHfLigfEol4uRTOhZq4P9TgkR069bt8ePHJChCfM2jR49UVFQ6duxIoM1u3bp9+vTp/fv3BNpEfJfa2trExERPT09JT6yrq8MwTAlffQIUnxQidXzKwq5duwQCQVBQEJVOcXx9fXv06LF582bqXTcDyqeUIU4+VZxCrXv37omJiTU1NSSIQvyHR48edezYkaglnzgeHh5sNptWj5WKytOnTxsaGnr06CHpiXV1dVwul+IXUjQBxSdlSB2fUlNdXR0ZGTl37lxdXV3KnDZlxYoVMTExX7XChwvKp5QhTj5VqEKNx+N9tREEggzu379P+G1UVVW1Q4cO9+7dI9Ys4lvu379vYWHRunVrSU+sq6tTzglqAMUnhUgdn1KzZ8+empqa+fPnU+bxKwICAjw8PDZt2gRLwLegfEoZ4uRTmhZqtbW1kp7YunXrNm3aXL9+nQRRiP/x8ePH9PT0Pn36EG65T58+sbGxhJtFfMX169f79u0rxYn4iBrheuQFFJ/UIHV8SkddXd2OHTvmzJkDZSOERlauXHn58mX6zN9H+ZQaxMynNC3UpBhRAwD4+/tfu3aNaEWI/3Dt2jUul0vGiwl/f/8PHz6gNeGkUlpaGh8fL10irK+vV+ZCDcUnBcgSn9Kxf//+kpKSBQsWUObxuwwaNKhDhw4bN26EK6MpKJ9SgJj5lHaFGt4SWrpCrX///unp6W/fviVaFOJ/REdH+/r6ktG5u3PnzoaGhhcvXiTcMqKR6OhoJpPZu3dvKc4lsAGmPILikwJkiU8paGho2LZt28yZM01MTKjx+CMwDFu+fPm5c+fS0tLgKmkE5VMKEDOf0q5QU1dXBwBUV1dLce5PP/1kZmYWFRVFtCjEv3z58uXGjRvjxo0jwziTyRw1ahS6fKRy4sSJ/v37a2trS3FuVVUVlb1A6QaKTwqQJT6l4PDhw4WFhUuWLKHGXfMMHz7c2dk5PDwctpB/QfmUbMTPp7Qr1LS0tAAA5eXlUpzLYDDGjh17/PhxkUhEtC4EAACcOnVKVVV18ODBJNkPDAx89epVQkICSfaVnE+fPt29ezcwMFC60ysrKzU1NYmVJF+g+CQVGeNTUng83pYtW6ZOnUrxFgg/AsOw4ODgP//8882bN7C1AIDyKfmIn09pV6ix2Wwul1tRUSHd6ZMnT87JyXn48CGxqhA4J06cGD58OLGNOZrSpUsXJyenEydOkGRfyYmKitLW1u7Xr590p1dUVODPUUoLik9SkTE+JeXEiRMfP35cunQpNe7EYfTo0XZ2dmFhYbCF/AvKp6Qifj6lXaEGANDS0pK6UHNxcWnXrh26k5LBq1evnj9/Tvbz7oQJE/78808p9ntFtMjJkyfHjBkj9TwzNKIGUHySiYzxKRECgSA8PHzixIlWVlYUuBMTJpMZHBwcFRWVnZ0NWwsAKJ+SiUT5lI6Fmra2ttSFGgBg4sSJf/31lxQNPhDNc/z4cQsLC29vb1K9BAYGFhcXo9VGhPPixYvU1NQJEyZIbQEVagDFJ2nIHp8S8eeff2ZlZS1btowad+IzYcIEKysr+sxUQ/mUJCTKp3Qs1LS0tCorzxZrhQAAIABJREFUK6U+ffz48XV1dUeOHCFQEqKqqurAgQNTpkxhMMiNGQsLCz8/v8jISFK9KCE7duxwcXHp2rWr1BYqKyuV/NUnQPFJGrLHp/gIhcLw8PBx48bZ29tT4E4imEzmkiVLDh8+nJubC1sLACifkoOk+ZSmhZosI2pGRkbTpk0LDw+XdGd3RDPs2bOnrq5u7ty5FPhavnz5nTt30MQIAnn37t3p06eDg4Nl2QAKjajhoPgkHELiU3z++uuvly9f0nA4DWfy5MlmZmYRERGwhQCA8ik5SJpPFbBQAwAsW7asoKDg1KlTRElScurq6iIjI3/55RcDAwMK3PXq1YuGuxTLNZs3b7a0tBw9erQsRioqKlChBlB8kgAh8SkmIpFo06ZNI0eOdHFxocCdFKioqCxZsuTgwYN5eXmwtQCA8inRSJNPRfRj4sSJAwYMkNHIlClT7Ozs+Hw+IZKUnJ07d3K53Ly8PMo84nv1JCQkUOZRgfnw4QObzT548KCMdjQ1NQ8dOkSIJHkHxSeBEBWfYnLx4kUMw1JSUqhxJx11dXVmZmYLFy6ELeRfUD4lECnyKR0Ltfnz53t6espoJDMzk8lknj59mhBJykxDQ4OlpeW8efMo9tupU6cRI0ZQ7FQhmTdvXuvWrevr62UxUl9fDwC4dOkSUarkHRSfREFIfIqJUChs3779sGHDKPAlIzt27FBTUyssLIQtRCRC+ZQ4pMundCzUQkNDHRwcZLczZswYJycnav7+FZidO3ey2ez3799T7Pf8+fMMBuPZs2cU+1Uw3r17p6qqunPnThntfPr0CQDw8OFDQlQpACg+CYGo+BQTfDgtKSmJGneyUFtba2JismzZMthC/gXlU0KQLp/SsVDbs2ePnp6e7HZyc3PV1dXDwsJkN6W0FBQU6OjoBAcHU+9aKBT+9NNPHTt2ROPtsjBw4EAHB4e6ujoZ7SQnJwMAXr16RYgqBQDFJyEQFZ9i0qlTJ7kYTsMJDw9XV1f/8uULbCEiEcqnRCB1PqVjoXb27FkGg0HI7S80NFRNTS07O1t2U8rJhAkTLCwsqqqqoHhPS0tTUVHZs2cPFO8KwOXLlwEAt2/flt1UXFwcAIAmOYMmoPiUEQLjUxwuXbqEYZgczSysqqoyNDRctWoVbCH/gvKpjEidT+lYqOEp4fPnz7Kbqq+vd3JyGjp0qOymlJAHDx5gGAZ3WtLixYt1dXVpMlFDvqipqbG2th4/fjwh1gh8fFIkUHxKDbHxKQ4eHh5ylws2bNigra1dWloKW4hIhPKpbMiST+lYqKWkpAAAXr58SYi1mzdvAgCuXLlCiDXlgcfjubm59e3bF66M6upqS0vLKVOmwJUhj6xcuVJLS+vTp0+EWCNqQoKCgeJTaoiNzxbBh9Pkbk5heXm5rq7u+vXrYQv5F5RPpUPGfErHQg1vHnP//n2iDI4ePdrKyoomDyXywrp161RVVbOysmALEZ07dw7DsL///hu2EHkiMTGRw+H89ttvRBkkaomP4oHiUwoIj88WkcfhNJzVq1fr6elVVFTAFvIvKJ9KgYz5lI6FWkNDA4ZhFy5cIMrg58+fTU1NBw4cKBQKibKp2Ny9e5fJZFK2FKtFJkyYYGRkRNnDt7xTWVnp5OTk7e1N4JvK+fPnd+vWjShrCgaKT4kgIz6b5/Lly/I4nIZTWlqqo6NDn1n8KJ9Kiuz5lI6Fmkgk0tbW3r9/P4EG6VZ50JnCwkK6/R1Sf2eXa8ioGyZMmCB7G2pFBcWnRFBf18rvcBpOcHCwgYFBZWUlbCH/gvKp+BCST2laqDk5Oa1du5ZYm+vWreNwOHK05AcKAoGgT58+FhYWxcXFsLX8h5SUFFVV1TVr1sAWQnf27t3LYDBu3LhBrFkfH5+ZM2cSa1ORQPEpJiTFZzPI9XAaTlFRkYaGxvbt22EL+R8on4oDUfmUpoWaj4/Pzz//TKxNgUDg5+dna2tbVlZGrGVFIjQ0VEVF5fHjx7CFfIc//viDwWCgyUDNgJcLISEhhFsm49lJwUDx2SLkxWczeHh4DBkyhEqPZLBo0SJjY+OamhrYQv4F5VNxICqf0rRQI+k9S35+vrGxcZ8+fVB75e9y/vx5JpMZGRkJW8gPGTlypIGBAWq7+l0+ffpkZWXl7e3N4/EIN66lpUXsbASFBMVnM5Aanz9CAYbTcAoKCtTU1Gj1thHl0+YhMJ/StFBbtmxZhw4dyLCcnJyso6MzZswYgUBAhn355e7du1wud9asWbCFNEdNTU2PHj3Mzc1zc3Nha6EX5eXl7dq1s7e3J6OnV1VVFVqTLw4oPn8EqfHZDIoxnIYTFBRkbm5O2S4O4oDy6Y8gNp/StFCLjIxs1aoVScbj4uI4HM6cOXNIsi+PpKSk6OrqDh48mP6zocvKytzc3Jydnek2iw4iNTU1PXv2NDU1zcnJIcP+mzdvAADPnz8nw7iCgeLzW8iOzx8RHR2tGMNpOHl5eVwud9++fbCF/AeUT7+F8HxK00INb4Pe0NBAkv2LFy8ymcyNGzeSZF++ePfunYmJSa9evWpra2FrEYuPHz9aWlp26dIF1t5WtILP5w8fPlxbW5u8rabv3r0LAMjPzyfJvoKB4rMpFMTnj1Ck4TScWbNmWVhY0O1VI8qnTSEjn9K0UHv48CEAQNId5iVi165dGIb9/vvv5LmQC3Jzc+3t7du1a1deXg5biwS8fPlSX1/f39+/uroathaY8Hi8iRMnqqqqPnjwgDwvp06dYrFY9B9tpQ8oPnGoic/vomDDaTi5ublsNvvw4cOwhXwNyqc4JOVTmhZq2dnZAIAnT56Q6iUsLAzDMPpseUs9qampZmZmbm5uBQUFsLVITHx8vL6+vqenp9K+Y6qpqRk4cKCamlpsbCypjiIiIszMzEh1oXig+KQsPr+Lh4fH4MGDqfdLNtOmTbO1taVyQYaYoHxKXj6laaFWV1fHYDD++usvsh0dO3aMxWJNnjyZhnFPNk+ePDEwMOjatWtRURFsLVLy6tUrCwuLNm3akDr4Sk9KSkq8vLx0dXUpGKuYP39+586dyfaieKD4pCY+v+XKlSsAgPj4eOpdk01WVhaLxYqKioIt5DugfEpSPqVpoSYSiczMzLZu3UqBo+joaFVV1cGDB9OnRQ0F4N960KBB8v6t8/Ly3NzcTE1NU1JSYGuhjry8PHd3d1NT0+TkZArcDR48ePTo0RQ4UjxQfEIR0LlzZ4UcTsMJDAxs06YNPRdaonxKhn36Fmo9evSgbCHJ/fv3dXR0evTooQy79QmFwsjISBaLNWPGDMWYdVRcXOzp6amvr68kvUbj4+MtLCycnZ0pG6dxc3Nbvnw5Nb4UDxSfFKPAw2k4b968YTKZZ86cgS3k+6B8Sjj0LdQCAwMDAgIoc5eamurg4GBkZETl3ibUU1paOnToUMVboVNdXT1mzBgGg7Fy5UrFqD6/C35TYLPZffr0oXLmk7a2Nt2aAsgXKD6pRLGH03BGjx7t4uJCz0E1EcqnREPfQm316tVOTk5UeqyoqBg3bhyGYUFBQeR1BoFIQkKCra2tkZGRoj7ZHzt2TE1NrWfPnh8/foSthXjKy8tHjhzJZDLXrFlD5Q26uLgYAKCoMUMlKD4pQOGH03DS09MZDMbFixdhC/khKJ8SCH0LtSNHjnC5XFk2nJeO/fv3q6qqKtjNVCgU7tixg81m9+3b9/Pnz7DlkEhSUpKjo6OhoeG1a9dgayGSJ0+eWFlZmZmZ3bt3j2LXCQkJAIA3b95Q7FchQfFJKkKh0MPDY9CgQRA1UMawYcPat29PfYqUCJRPCYG+hRrEHpsvX75s27aturp6WFiYAqxeSU5O7t69O4vFgvukSxmVlZXjx48HAIwcOVIe2458RVlZWVBQEJPJ9PX1hfLn8NdffzEYDFptXCPXoPgkD3xnTyXZQiMxMRHDsJiYGNhCWgDlU9mhb6GWm5sLAJB923npqKmpWbNmDZfLdXd3f/ToERQNslNVVbVmzRo2m92xY8enT5/ClkMp0dHRVlZW2trakZGR8jsrKDo62tzcXE9PLzIyElaRvXXrVnNzcyiuFRgUn4QjFArbtWs3fPhwuDKoZMCAAV26dIGtomVQPpUR+hZqfD6fzWbD7Rbz+vVrPz8/DMOmTZv25csXiEqk4NSpUyYmJgYGBgcPHqT58DhJVFdXBwcHs9nsDh06kN08mXDS0tK8vb0ZDMasWbNKSkogKpkzZ46XlxdEAYoKik9iOX36NIPBgNUQBAoJCQkYhsnL/FGUT6WGvoWaSCRycnJas2YNbBWi6OhoCwsLDQ2NoKAg+q83FgqF0dHRHh4eGIYFBgYq9ow0cXjz5k3fvn0BAL179/7nn39gy2mZtLS0wMBAFovVvn17Ogju3bv3tGnTYKtQWFB8EgKfz2/Tps348eNhC6Gavn37enp6wlYhASifSgGtC7UhQ4aMGjUKtgqRSCSqrKwMDw9v1aqVmppaUFDQhw8fYCv6Dnw+/+TJky4uLgwGY/jw4S9evICtiEZER0d36dIFAODn53f37l3Ycr7P8+fPhw0bxmAwXFxcTp48Cf1dEo65ufmWLVtgq1BwUHzKyNGjR5lMZkZGBmwhVPP48WMAAG1j5rugfCoptC7Uli9f7ubmBlvF/6ipqfn9999bt27NZrNnzJiRlJQEW9G/lJSU7N69287OjsViTZgwIT09HbYimnLz5s1evXoBAHr06HHx4kWazGzl8/mxsbH9+vXDMKxjx44XLlygTwqsrKzEMCw6Ohq2EKUAxad0NDQ02NraKu24708//eTr6wtbhcR8N5/SYXEoDfMprQu1o0ePcrlcus20ra+vP3DggIODAwCgc+fOU6dOhdXasb6+/tKlS8OHD+dwOGpqajNmzMjMzISiRL54+PBhv379GAyGiYlJcHAwxL/DpKSkgIAAY2NjDMO8vb1p2LIB783x+vVr2EKUCFrF58KFC+kcnzh79+5VUVF59+4dbCFwiIuLAwBA2VNVdprmUwsLi0mTJqF8+i20LtSePHkCAMjKyoIt5DsIhcI7d+507NiRwWCoqKgEBAQcOnQoLy+PAtcNDQ1xcXFz5841MDBgMBg+Pj5HjhypqKigwLUikZ2dHRISYm5uDgBo27bt+vXrExMTqZkl+urVq/DwcFdXVwAAk8mcMmUKPYNcJBJFRUWx2WyaDO0oFTSJTzs7u7Vr19I2PkUiUXV1tZmZGWX7DdITLy8vf39/2CqkRygUbtq0CcMwNpuN8um30LpQKy8vBwDQtk/MjRs38OsaFRU1aNAgLpeLYVj79u2XLl0aHR1dVFREoC8ej5eQkPDbb78NGTJEU1MTAODi4rJp0yZYu+kpDAKB4N69e7/88ouxsTEAwMTEZPLkyUeOHCF8DCknJycqKmrmzJlWVlYAAH19/VmzZj169EhTU1NHRyc7O5tYd0SxatUqZ2dn2CqUF/LiUyAQNC37fhSf9F8wHhoaqqGhAb2FG1xu3Lgh1/sxpKenq6urAwCOHz+O8um3YCKRCNAYU1PTxYsXL1y4ELaQr3nz5k2nTp0qKyv79+9/9epVAEBNTc3du3evX78eFxf38uVLAIC9vb27u7urq6uzs7ONjY2VlZWurq44xnk83vv377Ozs9++fZuSkpKampqcnFxVVaWnp9ejRw9/f39/f39ra2tyv6GSIRKJEhMTr1+//vfff8fHx9fW1hoZGbm7u7u5ubm4uNjb21tbW5uammIYJo61/Pz8nJycrKystLQ0/PJ9+vQJb8DTu3fvgICAzp07M5lMAICurm5ZWVmbNm3i4+M1NDTI/ZKSM2rUKIFAcP78edhClB3C4/Pu3bv//POPmppa8/FJc758+WJnZ7d06dKVK1fC1gKZ7t27GxgYXL58GbYQifn8+XOHDh0KCwv5fP7ly5cHDRoEUD79L3Qv1Hx8fOzt7fft2wdbyH+oqKjw8PB49+4dn88fMmTIxYsXvzqgpKTk8ePHz549S01NTUlJwSdPAAA0NDSMjY319fX19PTwrKymplZbWysSifh8fklJSXFxcVFR0ZcvXwQCAQBAR0enbdu2rq6u7du39/T0dHZ2FvNGjJAF/HnryZMnKSkpKSkpL1++rKurAwBwOBxDQ0N9fX0DAwM9PT0AgIqKCoPBqK+vBwCUl5cXFRXhl6+2thb/aZs2bdq2bevm5tatWzcPDw9VVdWvfBkYGBQXF7NYrICAgEuXLjEYDMq/bnO4ubkNHDhw48aNsIUg/gdR8YlhGH57aSY+ac4vv/xy+fLlN2/eqKmpwdYCmatXrw4aNOjZs2cdO3aErUUCGhoafHx84uPjeTweAOD69et4t5qmoHxK90Jt7ty5iYmJjx49gi3kfwiFwn79+sXFxeGBNXLkyLNnzzZ/Sn19fU5OTnZ29v+1d+cBUZX7/8CfmWGGXVBBEFeU1R3JfQXEVFATl1QcNTW1a3arm5lpZlnXMiu738pcY1VQ3DUTBdwVN1BRAQVR2ZF9hnVmzu+P+X25fBELnTPnOWfm/forx+l53tzel/nMOTPn5OTkFBQUFBcXl5eXV1RUEEIUCoWFhYVYLJbJZLa2tm3btm3btq2jo6Ozs3PXrl3t7e05+Ingr2k0mtzcXO1/waKiouLi4uLi4rKyMo1GU1dXp9FozMzMCCGtW7du3bq1nZ2dvb19ly5dnJ2dO3bs+LeHJRwdHQsKCgghYrF49erVX375JRc/UsvU19e3atVq27ZtcrmcdhZ4oVfrZ1RU1NatW3fu3LlgwQLaP8Erunnz5qBBg7Zv3z5//nzaWXhhwIABXbp0iYmJoR3kJSxcuDA0NFQ7SBFC4uPjfXx8/vpfMcbXU2onXVtm+/btFhYWvPri54cfftjw6isSiWbNmkU7EQiYk5NTw/8ZRSLR7t27aSf6r6SkJEJISkoK7SDAPu11QNq3by/Qu7iqVCpvb++RI0fy/1N0nNm/f79IJLp9+zbtIC319ddfNzmmdeHCBdqh+Ihf51me179//6qqqvT0dNpB/r+wsLAffvihYfwXiUQmJiZ0I4GgNTnkNn/+/GvXrtEK00RSUpK5ubm7uzvtIMA+7RReWFj422+/0c7yKjZv3pySkvLbb78J5ewVB6ZMmdK7d+8NGzbQDtIiBw8eXLNmDfN/z+nJZDJaefiM74Nar169ZDKZ9ncKdZcvX160aFHjRzCogY4a94dhGI1GExAQkJOTQzFSg6SkpL59+6LhhufJkyfa79Sr1ep169ZVVlbSTvRyHj9+vG7duk8//dTT05N2Fh4RiUSffvrp3r1709LSaGf5G8nJybNnz35+yMag1iy+D2oymaxHjx58GNRyc3PfeOMNjUbT+EEMaqCjJv1RqVRlZWVvvPGG9gPgdN28edPLy4t2CmBf49+oSqXyp59+ohjmFbz77rsdOnRYuXIl7SC8M336dA8PD54fVMvPzx8/frxKpWryekoIMTU1pRKJ5/g+qBFCvLy8qA9q1dXVAQEBpaWlDSc9tUQikSC+xA689fygX19fn5ycvHDhQip5Gmg0mlu3bmFQM0hJSUkNhy7q6+u/+eab4uJiupFabvfu3X/88ceOHTvwov48sVi8cuXKiIiIBw8e0M7SvJqamokTJxYXF6tUquf/FkfUmiWAQa1///43b958fvTmDMMwb731VkpKivZrno3hiBroqNn+qFSq3bt3//DDD9znaZCamqpQKDCoGaQbN240fpmsq6vbuHEjxTwt9+zZsw8++GDx4sXDhw+nnYWnZs+e3b17d37+B2UYZu7cucnJyc+/mGpJpVKOIwmCAAa1IUOGlJaWai95R8VXX30VHR3d7PhPnvswOMBLedEvJoZhVqxYceLECY7zNLhw4YKlpWXfvn1pBQD9uXbtWuO3vvX19T/++GN2djbFSC20bNkyqVTK81N7dEkkkpUrV4aGhmZlZdHO0lRycnJiYqJKpXrR7z0cJW2WAAa1fv36WVtbX7hwgVYAV1dXf39/7T09m3z4EUfUQEfP90csFovFYlNT05kzZ1K8V8HFixcHDx6MN7iGp7i4WHvpvsZEItFXX31FJU/LHT58eN++fTt27LC1taWdhdfkcnnHjh2/++472kGa8vLyevz48fXr1+fPn29ubi4Wi5sc6cCpz2YJYFCTSCSDBw+meM3bmTNnxsbGZmdnf/fddy4uLuT/lgmvZKCLxoOaiYmJ9vZ2W7ZsKSoqioyMHDFiBK1gFy5cwNklg9TsR37r6up27Njx8OFD7vO0UHFx8ZIlSxYuXDhu3DjaWfhOKpV+/PHHO3fu5Mn3x5vw9vbetm1bVlaWqalpp06dtPdi1/4VBrVmCWBQI4QMGzaM4hE1rfbt2//zn/8cOnRor169li1bZmdnRwipq6vDqU/QRcNh2m7duq1evdrCwmLhwoWLFy/W3iqYlvz8/MzMzGHDhlHMAHqSnJzc7NtLsVj82WefcZ+nhd59912JRMLPj17x0IIFCxwdHXl4UK3BqVOn6uvrL1++nJ6evmLFCkdHR4JB7QWEMagNHz48Kyvr6dOndGMolcoDBw4sWbLkhx9+yMvLO378+IwZM3h4I20QkI4dOy5btiwxMTEjI2PdunVTpkwJDw+nHYqcO3dOeySbdhBgX1JSUrPfzaqvr4+Ojr59+zb3kf7WkSNHoqOjd+zY0cL7cINMJvvXv/61devWvLw82lmaFxISMmHCBEdHRxcXl6+++ionJyc2NhYfJWoe1fsitJRCoZBKpXv27KEbIywsTCqVFhUV0Y0BBuzkyZOEkNTUVLox3nvvPW9vb7oZQE+6d+/e+CVAIpGYmpo2fPr27bffph2wqaKiIkdHx7feeot2EIGprq52cnJasWIF7SDNePr0qUQiOXDgAO0gwiCMI2qWlpYDBgyIj4+nGyM8PDwgIEB70hNAH8aMGdOxY8fIyEi6MeLi4v721sggRFVVVY8ePdL+s7W1dffu3c3NzVevXh0VFZWUlKRQKLZt20Y34fPefvttmUxG92o1QmRmZvbhhx/++uuvRUVFtLM0FRISYmtrO2HCBNpBhEEYgxohxN/fPzY2lmKA3Nzc+Ph4uVxOMQMYPLFYPHv27LCwMIoXDszNzb13756/vz+tAKA/VVVVO3bsuHjxYlFRUUVFRUREhEKhmDNnzowZM/r162dpaUk7YFM7duw4cuSI9nWddhbhWbp0qaWl5ebNm2kHaSoiIkIul+NiHC0kpEHt8ePHFK+2HB4ebmNjExAQQCsAGIl58+Y9fvz4/PnztALExsaampriK58Gyc7O7q233ho6dKj2zIC7uzshJD09nXau5mVmZn744YcrVqzA8d1XY2lp+f777//888+lpaW0s/zX+fPn09LS5s2bRzuIYAhmUBs0aJCNjQ3Fg2qRkZEzZ87EOwDQtx49enh5eVH8SsGpU6eGDx9uYWFBKwBwpnXr1nZ2dvwc1FQqVXBwsIuLy5dffkk7i4AtX75cJpP95z//oR3kv0JCQry8vPr160c7iGAIZlAzMTEZPXr0qVOnqOx+48aNO3fu4LwncEMul+/bt6+qqor7rRmGiY+Px3lP4+Hm5sbP+0KuX78+OTk5NDQUl2zQhZWV1fLly3/88ceysjLaWQghRKlU7tu3b/78+bSDCIlgBjVCiL+/f0JCwotu5aRX4eHhrq6ugwYN4n5rMELBwcHV1dWHDx/mfutbt27l5+djUDMebm5uaWlptFM0de3atQ0bNmzatKl37960swjeP//5T5FI9Ouvv9IOQgghMTExtbW1s2bNoh1ESIQ0qL3++usVFRXcX/lWpVJFRUXNnTu3yf2jAPSkXbt2Y8eOpXL2848//nB0dMQtPo2Hq6sr3059KpXK4OBgHx+ff/zjH7SzGAIbG5tly5b98MMPlZWVtLOQkJCQwMBAe3t72kGEREiDmouLi6en59GjRzne98SJE4WFhcHBwRzvC8ZMLpfHxsZyf7HKI0eOBAQEiMVC+s0AunBzc3vy5ElNTQ3tIP+1fPny0tLSkJAQvDdmywcffFBXV7d161a6MbKyss6dO4fzni9LYL+OJ06cyP35oPDw8FGjRjk7O3O8LxizyZMnW1tb7969m8tNCwsLr127NnHiRC43Bbrc3Nw0Gg1/7vJ56NCh33//fcuWLe3bt6edxXC0bdv2nXfe2bRpE5VPvjYICQmxt7fH3VpflvAGtYyMjNTUVM52LC8vP3bsGL5GABwzMzObPn16SEgIl5seO3ZMKpX6+flxuSnQ5erqKhaLeXL2Mzc3d9GiRYsXL542bRrtLIZmxYoVSqVyx44dtAIwDBMeHi6Xy5u91Sz8BYENakOGDLGzszty5AhnO0ZFRRFCpk6dytmOAFpyuTwlJYXLey8ePXrUz88Pt681Kubm5p06deLDoMYwzNtvv21ra7tp0ybaWQyQnZ3dokWLvvnmm+rqaioBzpw5k5mZiaMer0Bgg5pEIpkwYQKXH1MLDw+fMmWKjY0NZzsCaA0fPrx79+6cfaWgtrY2Li4O5z2NEE+u0PGf//zn1KlTu3fvtra2pp3FMK1cubKsrIzj4/QNQkJCXnvttT59+lDZXdAENqgRQiZPnnz58uX8/HwO9nr06NGlS5fwDgCoEIlEc+bMCQ8P5+aSNLGxsQqFIjAwkIO9gFfc3NyoH1G7cePGypUr165dO3DgQLpJDJijo+OCBQs2bNhQV1fH8dYKheLAgQP4GsGrEd6gNmHCBEtLy/3793OwV2hoaLt27caMGcPBXgDPk8vlhYWFp0+f5mCvqKioYcOGdezYkYO9gFeoX6GjsrIyODh46NChq1atohjDGKxcubKgoID7S/9ER0fX1dW9+eabHO9rGIQ3qJmZmQUGBkZHR+t7I4ZhIiIi5syZY2Jiou+9AJrVvXv3oUOHcvBbtaam5tixY/g1apzc3NwKCwtbHKcNAAAgAElEQVQp3g5y6dKlZWVlkZGREomEVgYj0alTp3nz5v373//m+NLxISEhb7zxhvYOs/CyhDeoEULefPPNCxcuPHnyRK+7XLhwISMjA+c9gS65XH7w4MHy8nK97nLs2DGFQhEUFKTXXYCf3NzcCCG0Pqb2yy+/REVFRURE4Hoc3Fi9evXTp0+5vPTPw4cPL168iPOer0yQg9q4ceNat26t77Of4eHhvXr1wiXaga6ZM2cSQvTd9ujoaB8fHycnJ73uAvzUtWtXU1NTKjeSun379ooVKz7//HN8woQzXbp0CQ4OXr9+vVqt5mbHkJCQ9u3bjx07lpvtDI8gBzWZTDZp0iS9nv2sqanBjWOBD2xsbAIDA/V69lOpVJ44cQLnPY2WRCLp1q0b90fUFArFjBkzBg0atHr1ao63NnJr1qzJysrat28fB3tpNBrt5dNwXvuVCXJQI4S8+eabiYmJGRkZelr/8OHDlZWVs2fP1tP6AC0nl8vPnj376NEjPa1/+PDh2traN954Q0/rA/9R+eLnkiVLysrKdu/ejZdwjnXv3n3GjBnr16/XaDT63isuLu7Jkyfz5s3T90YGTKiD2pgxY+zt7fV3Pig8PHzs2LH4zATwwfjx49u1axcZGamn9aOjo/39/XGbZGPG/aCm/WhaeHg4fs1SsWbNmtTU1IMHD+p7o5CQkMGDB3t6eup7IwMm1EHNxMRkypQpejr7WVhYGBsbi68RAE+YmJjMnDkzLCyMYRjWFy8rKzt58iTOexo57aCmj4I1S/vRtLVr1/r7+3OzIzTh6ekZFBS0fv16vf5HLy8vP3ToED5EpCOhDmqEkDfffPPmzZv6eBcYGRlpbm4+efJk1lcGeDVyufzBgweJiYmsr3zo0CFCCM57Gjk3NzelUpmbm8vBXg0fTVuzZg0H28GLrFu37s6dO8eOHdPfFlFRURqNBu8DdSTgQW306NHt27ffu3cv6yuHh4dPnz7dwsKC9ZUBXo23t3fv3r318ZWC6Ojo8ePH4yZpRk57hQ5uzn4uXbq0tLQUV02jrmfPnhMnTly3bp3+DqqFhIQEBQXZ2trqaX0jIeBBTSwWBwUFsX728+7du0lJSTjvCXwTHBwcFRVVW1vL4prPnj2Li4vD+11wdHS0sbHhYFDbsmXLnj17du/ejWvB8MHnn3+elJQUGxurj8XT09MTExNx3lN3Ah7UCCGzZs1KSUlJTk5mcc3Q0NAuXbqMGDGCxTUBdCeXy8vLy48fP87imtHR0TKZDPf3BEKIq6urvq/QkZiY+MEHH6xdu9bPz0+vG0ELeXl5jRs37osvvtDH4rt27XJycvL19dXH4kZF2IPasGHDPDw8du3axdaCGo1mz549c+fOFYuF/b8MGB4nJycfHx92z37u3LlzxowZVlZWLK4JAqXvL34WFhZOmzZt5MiR+Ggar6xdu/by5cvx8fHsLqvRaCIjI+fPn48T3LoT/Dgyf/78yMjImpoaVlY7depUdnZ2cHAwK6sBsEsulx8/fvzZs2esrHb79u2kpKQFCxawshoInaurq/5uTqBWq+fMmSORSPbs2YNXbl4ZPHjwmDFj1q9fz+6yJ0+ezM7OxoeIWGEIg1plZeXhw4dZWS08PHzIkCHu7u6srAbArqlTp5qamkZFRbGy2o4dO9zc3IYNG8bKaiB0bm5umZmZ9fX1+lj8k08+OX/+/IEDB9q2bauP9UEXX3zxxZkzZ86fP8/imiEhIcOHD8eLKSsEP6g5ODiMGzdu586dui+lVCoPHz6MdwDAW5aWlkFBQayc/ayrq9uzZ89bb70lEol0Xw0MgJubm0ql0scNMA4dOvT9999v2bKlf//+rC8Ouhs6dOjIkSO/+uorthYsKSk5cuQIvkbAFsEPaoSQhQsXnj59OjMzU8d19u3bV1dXN2PGDFZSAeiDXC6/evVqamqqjuscOHCgrKxs7ty5rKQCA6A9+MH6x9TS0tLmzZv3j3/8Ay/bfPbZZ5/FxsZevHiRldW0J7inT5/OympgCINaQECAo6NjWFiYjuuEh4dPnDgRR+aBz3x9fTt16qT7QbVdu3aNHz8el0iABtbW1o6OjuwOagqFIigoqEePHj/88AOLywLrxowZM3z48A0bNrCyWkhIyNSpU1u1asXKamAIg5qJicmcOXN27dqlVqtfeZGcnJyzZ8/ivCfwnFgsDg4ODg0N1eVuytnZ2fHx8fgaATTh7u7O4hU6GIZZsGBBcXFxTEyMTCZja1nQk08//fT48ePXr1/XcZ27d+9ev34dB1BZZAiDGiFk0aJF2teeV14hNDTU1tZ2/PjxLKYC0Ie5c+dq31e88go7d+5s27ZtQEAAi6nAALB7hY6NGzcePHgwOjq6Q4cObK0J+jN+/PgBAwb8+9//1nGd33//vUuXLqNGjWIlFRCDGdTc3NyGDBmiywXVwsPDZ8+ejbd9wH+enp6vvfbaK5/9ZBgmPDx87ty5UqmU3WAgdK6urmwNagkJCWvWrPn222/xgi0gq1evPnTo0O3bt195BZVKpb18Gq5FyiITutvn5eWxdZ29nj17/v7776NHj36Fq3dmZGSkpqbOnj07MjKSlTBaM2bMwGshEFZ7ruXp6blnz55hw4aZmZm97L977969jIwMe3t7ttqOnnMmMTHx4cOH+ls/Ly8vJydn586dr9CrJjZt2uTt7d2uXbsW1qx9+/a4hL0uWOkGwzCdOnX66KOP5s2b92or3Lx5s6CgoFWrViy+mKIbIv3djbUlTp48OW7cOBMTduZFhmFe+VoDuvy7za6mVqvLyspwr2sgbPdciw9tR885tmjRol27dun1grHs/iZsIbVaPWbMGD3dcdJIcNCNFmK3QugGoX5ETevZs2cG9ote+8JMOwXwC3oOujPIF61FixY9efKEdgrBQzcMFc4iAwAAAPAUBjUAAAAAnsKgBgAAAMBTGNQAAAAAeAqDGgAAAABPYVADAAAA4CkMagAAAAA8hUENAAAAgKcwqAEAAADwFAY1AAAAAJ7CoAYAAADAUxjUAAAAAHgKgxoAAAAATwlsUHv8+PGkSZMqKioaHklOTg4ICLC1tbW2th4zZszFixdfbeW/XueTTz6Jjo7WKTpAi+mj5wzDXLx4cdmyZW5ubqampu3atRs+fHhERATDMA3PQc8NjD6KVFpa+ttvv/n6+rZp08bc3NzV1TU4OPjWrVuNn4Mi8Z/+XkwJIX/88Yebm5uJicnzf4VuvAIhDWrJycmvvfba2LFjW7VqpX0kMTFx6NCh1tbW9+/ff/ToUbdu3UaPHh0bG/uyK//tOm+//faqVas+++wz1n4YgBfQU8/T0tKGDx+enp4eExNTXl5+5cqVzp07y+XyFStWNDwHPTckeirSihUrli9fPnny5Hv37hUXF+/atSs5Odnb2/vQoUMNz0GReE5/L6YZGRmTJk1atWpVQUFBs09AN14FQ9Wff/5JCCkrK/vbZ5aXl3fs2HHJkiUNj6jV6p49e7Zv376qqkr7iEqlcnd379SpU01NTcsztHCd5ORkkUgUHR3N7s8FxoAPPb9//76JiUlJSUnDI7W1tW3btjU1NUXPhWLhwoX+/v4teab+irRw4cLFixc3fiQ5OZkQ4urq2uTBlhep5T8XvAgfusEwzKxZszZs2FBfX9+hQweJRNLsc9CNlyWYI2obN27Mz89fu3ZtwyPnzp27e/futGnTzM3NtY9IJJJZs2Y9ffr02LFjLV+5hev07dt32rRp//rXv1QqFRs/EEAz9NdzDw+P+vr61q1bNzwik8k6depUW1tbU1PT8CB6bhj0V6QdO3Zs3bq18SN9+/Y1NzfPyMhgGp1GR5F4S3/dIITs3Lnzk08+afakZwN042UJY1BjGGbHjh2DBg1ycnJqeDA+Pp4Q8tprrzV+pvaPcXFxLV+85etMmTIlOzv7+PHjL/0DALSAXnv+vLKysgcPHnh5ednY2DR+HD0XOo6LpFQqq6ure/XqJRKJGj+OIvGQvrvRMOr9NXTjpQhjULt161ZBQUHfvn0bP5iamkoI6dixY+MHO3ToQAhJT09v+eItX6dfv36EkJMnT75UeIAW0mvPG6uoqLh48eKkSZMcHR3DwsKa/C16LnScFUlr3759hJDVq1c3eRxF4iGOu/Ei6MZLEcaglpKSQp6rUVlZGSHE0tKy8YNWVlaEkNLS0pYv3vJ1tMXVhgFgnV573uCrr76ysbEZPny4RCI5ePBgr169mjwBPRc6boqkVVBQ8MknnyxatGjGjBlN/gpF4iEuu/EX0I2XIoxBLS8vjxDS5ARNs7QfkmhyBP4VNLtOq1atRCKRNgwA67jp+Zo1a2pra+/fv+/h4eHl5bV+/fomT0DPhY6zX5jFxcXjxo0bPXr0b7/99vzfokg8xP2LabPQjZcijEFN+2FnqVTa+EFbW1tCiFKpbPyg9o/av2qhl1rHxMSkurq65YsDtJxee96YTCbz8PDYsmXLpEmT1q5de/r06SZPQM8FjZsiKZXK119/vUePHpGRkRKJpNnnoEh8w9kvmb+FbrScMAY1MzMzQkh9fX3jBz08PAgh2dnZjR/MyckhhLi5ubV88ZdaR6VStfDDkgAvS689b9bEiRMJIc9/sQs9FzQOiqRSqaZPn96hQ4fQ0NAXTWkEReIf7n/JvAi60XLCGNTat29PCCkvL2/8oI+PDyHkxo0bjR/U/tHPz6/li7d8nYqKCoZhtGEAWKfXnjfL1NSUEFJSUtL4QfRc6Dgo0pIlS2pra/fu3dtwIQYXF5crV640fg6KxEPc/5JpFrrxUoQxqGk/79xk3h81alSPHj1iYmIargKlVqujoqI6deoUEBDQ8sVbvo72HcbzH74GYIVee/7RRx/NmTOnyYMnTpwghAwYMKDxg+i50Om1SISQdevW3b179/Dhw9pB/0VQJB7SdzdaCN14KcIY1Pr27duuXbsmt5MTi8U7d+4sKSl566238vPzi4uLly1b9uDBg+3bt2uP7mrNmTNHJBI9evToRYu3cB1CiPYC3GPHjmX75wMgRM89J4Ts3r37yy+/zMrKqq2tzcrKWrlyZUREhLe396JFixo/DT0XOr0WKSQk5IsvvkhMTLS2thY1kpGR0eSZKBIP6fuXTAuhGy9FGIOaSCRatGhRYmJibm5u48cHDx586dKl8vJyd3f3rl27Pnjw4MyZM6+//nrj5+Tl5VlZWXXu3Pkv1m/JOoSQgwcPdujQQU/vMAD02vO1a9du37790qVLPj4+rVq16t27d1xc3IYNG86fP9/kkyLoudDptUgxMTEtjIEi8ZC+X0yPHTumHdxzcnLUarX2n3fs2NHkaejGy6Fx36r/avm9AsvKyjp06ND49mQtUVpaam5uvmjRolcN+F/a25Pt2bOnJU/GPRChMfQcWNHy+x4Kq0i4n6Pu0A0DJowjaoQQGxubo0ePxsTE/PLLLy38VxiGee+991q1avX8laJeVmZmZlBQ0KpVq2bOnKnjUgB/AT0HVqBI8CLohuAIZlAjhHh5eV2/fv3EiRMVFRUteX5BQUFmZmZcXJyjo6OOW2/duvXrr7/++uuvdVwH4G+h58AKFAleBN0Qlr+6xT0Pde3a9flrPr2Io6PjhQsXWNn322+/ZWUdgJZAz4EVKBK8CLohIEI6ogYAAABgVDCoAQAAAPAUBjUAAAAAnsKgBgAAAMBTGNQAAAAAeAqDGgAAAABPYVADAAAA4CkMagAAAAA8hUENAAAAgKcwqAEAAADwFAY1AAAAAJ7CoAYAAADAUxjUAAAAAHjKuAa10tJS2hEA9A49B92p1eqKigraKYCP0A2OmdAOQAgh+/btMzc31/cuarV6+/btS5cu1fdGhJA7d+5wsAsIC3oOusvPz4+MjORgo5SUlOLi4lGjRnGwV0ZGhlQq5WAjw4ZuGCrKg5pYLDYxMXnnnXc42IthGLVafeXKFQ72IoSYmJiIRCJu9gKeQ8+BFSYmJvfv358/fz4He2k0GoZhfv/9dw72IoT4+/tzs5GhQjcMmIhhGNoZODJnzpzIyMiff/552bJltLMA6At6Drqrqamxt7dXKpVPnz7t0KED7TjAI+gG94zlM2rV1dUHDhwghISFhdHOAqAv6Dmw4sSJE0qlUiwWx8TE0M4C/IJucM9YBrUjR47U1NQQQq5du5aVlUU7DoBeoOfAioiICIlEotFoQkNDaWcBfkE3uGcsg1pkZKREIiGEmJiYREdH044DoBfoOeiusrLy2LFjKpWKYZikpKQHDx7QTgR8gW5QYRSDWllZ2Z9//qlSqQgh9fX1eB8ABgk9B1YcOHBA2yJCiFQqxcQPDdANKoxiUNu/f79Go2n44/3791NSUijmAdAH9BxYER4e3vBN3vr6es6+3Af8h25QYRSDWnh4eOM/ymSyqKgoWmEA9AQ9B90VFRWdOXNGrVY3PJKZmXnr1i2KkYAn0A1aDH9Qy8/PP3/+fONu1dXVhYaGGs91ScAYoOfAiudPZkml0j179lAJA7yCbtBi+INaVFSUWNz0x8zOzr569SqVPAD6gJ4DK8LCwhqfQCf/+3lHTPyAbtBi+IPa890ihMhkMrwPAEOCnoPunjx5cv369edfd/Pz8y9evEglEvAEukGRgQ9qGRkZycnJz7+A1dXVhYWFNXx7BUDQ0HNgRWRkpIlJM/cVxBkuQDcoMvBBbc+ePc12ixBSWlp65swZbuMA6AV6DqwICwurr69//vH6+vrIyMhm/wqMBLpBkYEPauHh4SqVStockUi0e/du2gEBWICeg+7u3r2bmpoqkUieb5FEIikvLz99+jTtjEAHukFX8+/CDUNpaeno0aNHjx6t/WNubu6pU6dmzZolk8m0j9ja2lILB8AS9BxYkZubu3jx4oY/Xrp0SalU+vv7NzxSUVFBIxfQh27QJTKe72ucPHly3LhxZWVlNjY2tLMA6At6Dqx4++23nzx5cvLkSdpBgHfQDY4Z+KlPAAAAAOHCoAYAAADAUxjUAAAAAHgKgxoAAAAAT2FQAwAAAOApDGoAAAAAPIVBDQAAAICnMKgBAAAA8BQGNQAAAACewqAGAAAAwFMY1AAAAAB4CoMaAAAAAE9hUAMAAADgKQxqAAAAADyFQQ0AAACApzCoAQAAAPAUBjUAAAAAnsKgBgAAAMBTGNQAAAAAeAqDGgAAAABPYVADAAAA4CkMagAAAAA8hUENAAAAgKcwqAEAAADwFAY1AAAAAJ7CoAYAAADAUxjUAAAAAHgKgxoAAAAAT2FQAwAAAOApDGoAAAAAPIVBDQAAAICnTGgH0K+SkpLCwkKlUllaWnr58mVCyMmTJ9u1a2dtbW1jY+Pk5GRhYUE7I4Cu0HPQHcMwOTk5JSUlSqVSqVQ+evTo2bNnsbGxlpaWVlZWbdq0cXJykkgktGMCBegGXSKGYWhnYI1arU5OTj537ty9e/dSU1PT0tKKior+4vkikahz585ubm7u7u79+vUbNWqUi4sLZ2kBXg16DqxQKBTnz5+/cuVKampqenp6WlpadXX1Xzzf1NTUxcXFw8PDzc1t0KBBo0aNsrW15SwtcAnd4BVDGNTy8vL2798fFxd39uzZ0tLSdu3a9enTR/uy5O7u3r59eysrK1tbW0tLS1NT06qqKoVCoVAoysrKHj9+nJ6enp6enpqaeuvWLaVS2blzZx8fn7Fjx06ePNnS0pL2TwbwX+g5sOLatWtHjhxJSEhITExUqVTu7u49evRwc3PTdqlt27bawyS2trYikaisrEx7EKW4uPjhw4dpaWnp6en379+/d++eSCTy8vLy8fEJDAwcMWKESCSi/ZOBrtANfhLwoFZdXX3w4MGIiIjY2FgrK6vRo0f7+vr6+vr27NnzFWpRX1+fmJgYHx+fkJBw6dIlmUwWFBQkl8t9fX3FYnySD6hBz4EVT58+jYyMDAsLu3//frdu3fz8/Hx9fX18fBwcHF5htZKSkrNnz8bHx8fFxd2/f79r165yuVwul7u6urKeHPQN3eA7RoAKCgo++eQTGxsbExOTwMDAvXv3VldXs7j+s2fPfv7550GDBhFCunTp8vPPP1dVVbG4PkBLoOfAisTExMmTJ4vF4rZt2y5btuzKlSvsrn/nzp0VK1Y4OTkRQvz8/OLi4thdH/QH3RAEgQ1qT548Wb58ubm5uYODw4YNGwoKCvS6XWpqqnY7R0fHjRs3VlRU6HU7AC30HFiRkJDg7+9PCBk4cGBMTExtba3+9lKpVH/++aefnx8hZMiQIUePHtVoNPrbDnSEbgiIYAa1urq6zZs3W1padu7cefPmzUqlkrOtCwsLP//8c1tbW0dHx9DQUDQM9Ac9B1ZkZ2dPnz6dEDJs2LAjR45wuXVSUtL06dNFItGIESPu3LnD5dbQEuiG4AhjUPvzzz9dXV2trKy+++67uro6KhmePXu2ZMkSsVjs6+t7//59KhnAsKHnoLva2tqvv/7awsLC09OT4pmma9euDRgwQCqVfvzxxwqFglYMaAzdECi+D2oKhWL+/PmEkKlTpz59+pR2HCYxMdHb21smk23atAmHHIAt6DmwIiUlpWfPnhYWFhs2bNDryayWUKvVW7Zsad26ddeuXS9fvkw3DKAbwsXrQe3OnTuenp5t27bl+PDsX1OpVN9++61UKg0MDHz27BntOCB46DmwYteuXRYWFsOGDXv06BHtLP9VUFAQEBAglUq/++47DP20oBuCxt9B7ffff9cW68mTJ7SzNOPSpUudO3fu1KkT3g2ALtBz0F1VVZVcLheJRB9//HF9fT3tOE1pNJqNGzdKpdKAgICSkhLacYwLumEAeDqoffHFF7wtVoNnz55NmDDB3NycVwdCQEDQc9BdaWnpiBEj2rRpc/z4cdpZ/srFixc7dOjQu3fvnJwc2lmMBbphGHg3qGk0mg8//FAikWzZsoV2lr+nUqkWL14skUi2bdtGOwsICXoOrMjLy+vXr1/79u1v3bpFO8vfy8nJ6d27d5cuXVJTU2lnMXzohsHg16CmUqlmzZplamq6f/9+2llaSqPRrF69WiQSff/997SzgDCg58CKrKwsZ2dnDw+Px48f087SUs+ePRs8eLCdnV1SUhLtLIYM3TAk/BrUlixZYm5uLsSLF3///fcikWjnzp20g4AAoOegu8LCQnd39379+hUVFdHO8nIUCoWfn5+Dg8PDhw9pZzFM6IaB4dGgtmbNGolEIqBjDE0IPT9wQ+g9EXp+w6BUKocMGdKtW7e8vDzaWV5FRUWFt7e3cPPzGbphePgyqP36668ikWjXrl20g7w6jUbz9ttvm5ubX7x4kXYW4Cn0HHRXX1/v7+/v6Ogo6KMOBQUFrq6uXl5elZWVtLMYDnTDIPFiULty5YpUKl2/fj3tILpSqVSBgYEdO3YU3AFn4AB6DqxYtWqVhYXFzZs3aQfRVWZmpp2dnVwupx3EcKAbBon+oFZaWurs7Dx+/Hi1Wk07CwtKSkq0Pw4u3weNoefAiri4OLFYbDAfE/zjjz/EYvHvv/9OO4ghQDcMFeVBTaPRTJkyxcDemicmJspkso0bN9IOAnyBngMr8vPzHR0dZ86cSTsIm1auXGlmZiaIS0jwGbphwEQMwxB6QkNDFy5cmJCQMGLECIoxWPf999+vWrUqOTm5R48etLMAfeg5sGLixIkPHjy4fv26lZUV7SysUalUo0aNqquru3LlikQioR1HqNANQ0ZxSCwpKWnXrt3y5cspZtATtVo9aNCgESNG4MQQoOfAigMHDohEovj4eNpB2JeWlmZqavrLL7/QDiJU6IZhozmoLV261MHBobS0lGIG/bl+/bpEIomIiKAdBChDz0F3SqWya9euc+fOpR1EX1auXNmqVavc3FzaQYQH3TB41Aa1a9euicViw/79/s477zg6OlZUVNAOAtSg58CKVatW2dra5ufn0w6iLwqFonPnzvPnz6cdRHjQDYNHbVALDAwcPHiwYZ8xKS4ubtWq1YYNG2gHAWrQc9BdUVGRpaXlpk2baAfRr927d0skkvT0dNpBhATdMAZiKh+Mu3Xr1vHjx9esWSMSiagE4EabNm2WLVv2448/VlVV0c4CFKDnwIqffvrJzMxsyZIltIPo14wZM1xcXL799lvaQYQE3TAGdAa1DRs29OnTZ8KECVR259K//vWvqqqqHTt20A4CFKDnoLuKiopffvnlgw8+MKRv8zVLIpGsXLkyLCzs8ePHtLMIA7phJCgMapmZmTExMZ9++qlhH2bQatu27aJFizZt2qRWq2lnAU6h58CKbdu2aTSaZcuW0Q7ChTlz5jg5Of3444+0gwgDumEkKAxqoaGhDg4OU6dO5X5rKv75z39mZ2efOnWKdhDgFHoOrAgNDZXL5ba2trSDcEEqlS5dujQ8PLy2tpZ2FgFAN4wE14MawzARERHBwcHGc/G6rl27Dh06NDw8nHYQ4A56Dqy4du1aSkqKXC6nHYQ7crm8vLz8xIkTtIPwHbphPLge1M6fP5+ZmTlnzhyO96VLLpcfPHiwvLycdhDgCHoOrAgLC3Nzcxs4cCDtINzp0KHD6NGjMfH/LXTDeHA9qEVGRnp5efXp04fjfemaMWMGwzCHDh2iHQQ4gp6D7tRqdVRU1Lx582gH4ZpcLj927FhZWRntIPyFbtAOwimuB7XY2NhJkyZxvCl1rVu3HjFiBD6+YzzQc9DdzZs3nz17NnnyZNpBuDZx4kSVSnX27FnaQfgL3aAdhFOcDmqPHj3Kysry9fXlclOe8PHx0d6IjXYQ0Dv0HD1nRUJCQrt27Yzwhvdt2rTp27dvQkIC7SD8hW7QDsIpTge1+Ph4CwuLQYMGcbkpT/j6+ubl5aWmptIOAnqHnqPnrEhISPD19TWGy7s8z9fXNz4+nnYK/kI3aKfgFKeD2pkzZ4YOHWpqasrlpjzx2muv2djYGNv7AOOEniy/j7IAABHbSURBVKPnulOpVBcuXPDx8aEdhA5fX9+UlJSioiLaQfgI3TC2bnA6qN26dcuovqLSmEQi6d+//61bt2gHAb1Dz9Fz3WVkZCgUigEDBtAOQseAAQMYhrl9+zbtIHyEbhhbN7gb1DQazYMHD9zd3TnbkW/c3NzS0tJopwD9Qs/Rc1akpqaKRCJXV1faQeiwt7dv06YNitQsdMPYusHdoPb48eOamhpjfgFzd3c3qm4ZJ/QcPWdFWlpax44dDf4ejn8BE/+LoBvG1g3uBjXt/6xG+yaAEOLu7p6fn29sF4AxNug5es6KtLQ0Yx73CSb+F0M3jK0b3A1qT58+tbGxadOmDWc78k3Xrl0JIdnZ2bSDgB6h5+g5K54+fdqlSxfaKWjq2rXrkydPaKfgI3TD2LrB3aBWWVnZqlUr3dcpLi7+8MMPu3fvLpPJWrduPX78+IavmB06dEj0v7Kyst58801bW9u2bdsGBgZmZGQ0XqSoqOi9997r2rWrTCazt7cPCgpKTk5u+Nva2tq1a9d6eHhYWFi0adNm4sSJR44cUavVOibX/viVlZU6rgN8hp6j56yorKy0sbHRcRHhtogQ0qpVK7SoWeiG0XWD4cq6des8PT11XCQvL8/Z2dnBweHo0aPl5eVpaWlBQUEikWj79u0Nz9FerHny5MmXLl1SKBSnTp0yNzfXfk9EKzc3t0uXLg4ODsePH6+srExJSRk1apSZmdmlS5e0T1i0aJGNjU1sbGxVVVV+fv5HH31ECElISNAxvPZk0MmTJ3VcB/gMPUfPWdGzZ8+1a9fqsoKgW8QwzLZt22xsbHRfx/CgG8bWDe4GtY8++mjgwIE6LjJ//nxCyJ49exoeqampcXJyMjc3z8/P1z6irdfRo0cbnjNt2jRCSFFRkfaP2vujRUZGNjwhLy/P1NTU29tb+0dnZ+ehQ4c23tfNzU33eqlUKpFIFBMTo+M6wGfoOXrOii5dumzcuFGXFQTdIoZh9uzZI5FINBqN7ksZGHTD2LrB3alPpVJpYWGh4yIHDx4khAQEBDQ8Ympq6ufnV11dffLkycbPbHyNmU6dOhFCcnNztX88dOiQWCwODAxseIKjo2PPnj1v3Lih/WDNuHHjLl26tHjx4itXrmiP06alpY0ePVrH8BKJxMzMTKFQ6LgO8Bl6jp6zQqlUWlpa6rKCoFtECLGyslKr1TU1NbovZWDQDWPrBneDmqmpaW1trS4r1NbWlpeXm5mZWVtbN37cwcGBEJKfn9/4wcan8GUyGSFEo9E0LKLRaGxsbESN3Lx5kxDy4MEDQsgvv/wSFhaWmZnp5+fXqlWrcePGaWutI4Zh6urqzMzMdF8KeAs9R89ZoWORhN4iQkhNTY1IJNLmgcbQDWPrBneDmrW1tY5vsk1NTW1sbGpqapp8irCgoIAQ4ujo2MJFbG1tTUxM6uvrnz/AqL0ph0gkksvlp0+fLisrO3ToEMMwQUFBP/zwgy7hCSFVVVVqtbrJ/zfAwKDn6DkrrK2tdfm4tNBbRAiprKy0tLSUSCS6L2Vg0A1j6wZ3g5qVlZXuX9OYMmUKIeT48eMNj9TW1sbFxZmbm7/++ustXCQoKEilUl28eLHxg99++23nzp1VKhUhxNbWVntXaalU6u/vr/0KTONNX432x2flK4HAW+g5es4KKysrHSd+QbeIEFJZWYlxv1nohrF1g9Mjarq/gG3YsMHZ2fn9998/duxYZWVlenr67Nmz8/LyfvrpJ+1h2xYu0r179wULFpw4caK8vLykpGTr1q1ffvnlpk2bTExMtM9ZunTp7du3a2trCwsLtR/b9PX11TF8RUUFIcSo6mWE0HP0nBW6F0nQLSKEVFRUoEXNQjeMrhuv+i2El7Z//36xWFxVVaXjOs+ePXv//fednZ2lUqmNjc3rr78eFxen/avLly83/tFWr17NMEzjRwICArTP1F5Cplu3blKp1N7efuzYsadOnWrYIjk5ecmSJZ6entqrvwwePHj79u26f8HkzJkzhJDc3Fwd1wE+Q8/Rc1bMnDlz0qRJOi4i3BYxDPOPf/xjxIgRuq9jeNANY+uGiPm//wH05+7du7169bp9+3bv3r252ZFvtm7d+vHHH5eXl9MOAnqEnqPnrFi3bl1UVJT2zJFx8vPz69at2/bt22kH4R10w9i6wd2pTxcXF4lEYlT352oiPT3dyG/QZgzQc/ScFe7u7pmZmfX19bSDUIMivQi6YWzd4PTyHF26dElPT+dsR77BnXSNAXqOnrPC3d29vr4+KyuLdhA6lEplTk4OitQsdMPYusHdoEYI6dmzZ+MbgRmb27dv9+jRg3YK0Dv0HD3Xnbu7u4mJidEW6fbt2wzDeHp60g7CR+iGsXWD00FtxIgRZ8+e5exTcbzy4MGDp0+fjhw5knYQ0Dv0HD3XnaWlZf/+/bXfzDBC8fHxTk5OLi4utIPwEbphbN3gdFDz9fUtLCxMSUnhclOeiI+Pt7KyGjhwIO0goHfoOXrOCl9f3/j4eNop6EhISPDz86Odgr/QDdopOMXpoObl5dWmTRvjrFd8fPyIESOkUintIKB36Dl6zgofH5/U1NScnBzaQbhWU1Nz6dIl7dXtoVnoBu0gnOJ0UBOLxaNHj/7zzz+53JQP6uvr4+LiWLnQH/Afek47iIEYPny4qalpk5tkG4OzZ89WV1cb21GTl4Ju0A7CKU4HNULI9OnTT58+3eS2rwbvxIkTJSUlU6dOpR0EOIKeg+4sLCwCAwMjIiJoB+FaRETEkCFDOnfuTDsIf6EbtINwiutB7Y033rCystqzZw/H+9IVHh4+atQoZ2dn2kGAI+g5sEIul585c8aoLsSgVCoPHTokl8tpB+E7dMN4cD2omZmZTZs2LTw8nON9KSovLz9+/LgRdsuYoefAigkTJtjZ2e3evZt2EO7ExMTU1dVNnz6ddhC+QzeMB9eDGiFk7ty5SUlJ165d435rKkJDQ0Ui0bRp02gHAU6h56A7qVQ6a9asXbt2qdVq2lk4sn379sDAQDs7O9pB+A7dMB7c3euzsaFDhzo4OBw8eJD7rTlWX1/v6ur6xhtvbN68mXYW4Bp6DrrLzMx0d3cPDQ2dPXs27Sx6d+bMGR8fn/Pnzw8fPpx2FgFAN4wEnUHt0KFDQUFBt2/f7tWrF/e7c2nbtm3vvvvuw4cPje3Dj0DQc2BJcHBwUlJSSkqKWEzhHAiX/P391Wq1cV7a5tWgG8aAzqDGMEzfvn379Olj2F9aUavVnp6evr6+v/32G+0sQAF6Dqy4f/9+r169Dhw4MHnyZNpZ9Ojq1auDBg06ffq0sV18QRfohjGgM6gRQqKjo4ODg69cufLaa69RCcCB//mf//noo49SU1PxPTijhZ4DK6ZPn3737t3k5GSZTEY7i14wDDNq1CiNRnPhwgXaWQQG3TB8DD0+Pj7e3t4qlYpiBv3Jz8+3tbVdvXo17SBAGXoOunv8+LGlpeWGDRtoB9GXkJAQsVicmJhIO4jwoBsGj+agdvfuXalU+uuvv1LMoD/BwcGdO3dWKBS0gwBl6Dmw4quvvrKwsMjMzKQdhH3l5eXt27d/9913aQcRKnTDsNEc1BiG+fjjj1u3bp2dnU03ButOnTolEokOHz5MOwjwAnoOuqutrfXw8AgICNBoNLSzsGzx4sUODg6lpaW0gwgVumHYKA9qCoXCw8Nj5MiR9fX1dJOwKD8/39HR8c0336QdBPgCPQdWnD9/3sTE5Mcff6QdhE179+4ViUQxMTG0gwgbumHAKA9qDMPcuXPHwsLCYD7jolar/f39u3fvXlZWRjsL8Ah6Dqz4+uuvpVLppUuXaAdhx8OHD21sbIz8xBZb0A1DRX9QYxhm69atYrH4zz//pB2EBV988YWpqemNGzdoBwHeQc9Bd2q1euzYsc7OziUlJbSz6Kq6utrb27t///41NTW0sxgCdMNQ8WJQYxgmODjYxsYmKSmJdhCdhIeHi0QiQ/3YOOgOPQfdFRQUdOrUafjw4VVVVbSzvDqVShUUFNS6desHDx7QzmI40A2DxJdBrba29vXXX7e3t09LS6Od5RWdPn3a1NT0k08+oR0E+As9B1bcvXu3TZs2gYGBwv3U4/Lly83Nzc+dO0c7iKFBNwwPXwY1hmEqKir69+/v4uKSl5dHO8tLu3LlipWV1bx58wzvSzfALvQcWHHx4kULC4sFCxYI8b/F2rVrTUxM8H1hPUE3DAyPBjWGYQoKCtzc3FxcXDIyMmhneQmnT5+2traeOHGicN/BAJfQc2DFsWPHZDLZnDlz6urqaGdpKY1Gs2LFCpFItHPnTtpZDBm6YUj4NagxDJOfn9+/f39HR8ebN2/SztIiBw4cMDMzmzp1Kj7zCC2HngMr4uLiWrVq5efnV1FRQTvL36uvr1+4cKGJiQleiTmAbhgM3g1qDMOUl5f7+vra2NjExsbSzvJXNBrN999/LxaL33//fbVaTTsOCAx6Dqy4evWqvb39oEGDcnNzaWf5K6WlpePGjbOysjKMLz4LArphGPg4qDEMU1NTM3v2bLFY/Nlnn/HzJomlpaVBQUESiWTjxo20s4BQoefAitTUVFdXVwcHB94O/VevXnV2dnZycjLmOzZSgW4YAJ4OalqhoaEWFhajRo3KycmhneX/uH79evfu3du1a8fb6oOAoOegu4qKitmzZ4tEovfee49vH0vaunWrTCbz9fUV4hdoDAC6IXS8HtQYhrl7927Pnj1bt269efNmPhxyUCqVn3/+uUwm8/PzQ7GALeg5sEI79Ht5eV2+fJl2FoZhmPT09LFjx5qYmHz++ec4b04XuiFcfB/UGIaprKz86KOPpFLpwIEDr1+/TjHJvn37Onbs2KZNm99++02IX3sGPkPPgRX37t3z8fERi8VLly4tLi6mFUOhUKxcuVIqlXp7e1+9epVWDGgM3RAoAQxqWnfu3Bk5cqREIpkzZ87du3c53v3UqVMjR44UiURvvfVWYWEhx7uD8UDPQXcajSYiIsLR0dHOzu7rr7/m+H6sVVVVP/30U4cOHWxtbX/55Rc+HCGGBuiGEAlmUGMYRqPR7N69u0ePHmKxeOrUqRzcZ1Cj0Rw9enTw4MGEEH9/f4O52S3wGXoOrCgrK1u9erWNjY2tre2aNWuKior0vWNFRcW3337r4OBgYWHx3nvv5efn63tHeDXohrAIaVDT0mg0R44cGThwICGkR48e33zzjT7+k2dlZX3zzTcuLi6EkDFjxvDkpD4YD/QcWFFRUbF582ZHR0dTU9PAwMC9e/fW1tayu4VarT5//vzixYutra2trKzee+89nl8MArTQDaEQMQxDhCkhISE0NPTAgQM1NTXjxo0bN26cr6+vh4fHKy+oUqlu3LgRHx9/9OjRy5cvOzk5BQcHz58/v0ePHizGBngp6DnoTqlU7t27Nyws7Ny5c23btp06daqfn9/o0aPt7Oxeec2KioqzZ8/GxcXt378/Ozt70KBBcrl89uzZrVu3ZjE56Bu6wX8CHtS0qqqqDhw4sHfv3jNnzlRWVjo5Ofn6+vbp08fd3d3d3b1bt25SqfQv/t309PS0tLT09PSrV6+eO3euoqKiffv2Y8eOnT17tp+fn0Qi4fJnAXgR9BxY8eTJk/Dw8CNHjmhPqffp02fkyJGenp7aIjk5Of3Fv1tYWJiWlpaWlpaamnrhwoXr169rNJo+ffoEBgbK5XJ3d3fOfgrQB3SDtwQ/qDVQqVTXr19PSEg4e/bsvXv3nj59SgiRSqX29vZWVlbW1ta2trZisbiurk6hUJSWlioUCu2JeRMTE2dn5759+/r4+Pj4+Hh6etL+UQBeCD0HVpSXl587dy4+Pv7y5ctpaWllZWWEEAsLi3bt2ln9L5FIpFAolEqlQqEoLCxUKBSEECsrK3d394EDB/r6+up43AX4Cd3gG8MZ1JpQKpXaQwj5+fkKhUL7oqXRaGQymfbFzMrKqmPHjh4eHt27d/+LoxEAfIaeAysKCgpSU1MzMzOLioq0r74KhUKj0TS8MNvZ2XXt2tXd3b1jx460wwKn0A3qDHZQAwAAABA6Me0AAAAAANA8DGoAAAAAPIVBDQAAAICn/h+Dr0EGsCb6kQAAAABJRU5ErkJggg==\n", + "image/png": "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\n", "text/plain": [ "" ] }, - "execution_count": 7, "metadata": {}, - "output_type": "execute_result" + "execution_count": 8 } ], "source": [ @@ -457,7 +308,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -479,7 +330,7 @@ "source": [ "This dataset requires 3.2 GB of memory which may be close to or greater than the amount of available RAM than you have on your computer. Nevertheless, dask has no problem handling this.\n", "\n", - "Do not try to .visualize( ) this array!\n", + "Do not try to .visualize() this array!\n", "\n", "When doing a big calculation, Dask also has some tools to help us understand what is happening under the hood." ] @@ -495,22 +346,20 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { + "output_type": "display_data", "data": { + "text/plain": "VBox()", "application/vnd.jupyter.widget-view+json": { - "model_id": "bb409085811c4d74a599b5f3b456a1cf", "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "VBox()" - ] + "version_minor": 0, + "model_id": "15aaa6fd3d5c4eb697d27cab241d5166" + } }, - "metadata": {}, - "output_type": "display_data" + "metadata": {} } ], "source": [ @@ -539,59 +388,19 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { + "output_type": "execute_result", "data": { - "text/html": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "
\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
Array Chunk
Bytes 32.00 kB 8.00 kB
Shape (4000,) (1000,)
Count 3472 Tasks 4 Chunks
Type float64 numpy.ndarray
\n", - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - " \n", - " \n", - "\n", - " \n", - " 4000\n", - " 1\n", - "\n", - "
" - ], "text/plain": [ "dask.array" - ] + ], + "text/html": "\n\n\n\n\n
\n\n \n \n \n \n \n \n \n \n \n
Array Chunk
Bytes 32.00 kB 8.00 kB
Shape (4000,) (1000,)
Count 3472 Tasks 4 Chunks
Type float64 numpy.ndarray
\n
\n\n\n \n \n \n\n \n \n \n \n \n \n\n \n \n\n \n 4000\n 1\n\n
" }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "execution_count": 11 } ], "source": [ @@ -602,7 +411,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -613,30 +422,36 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { + "output_type": "stream", + "name": "stderr", + "text": [ + "distributed.comm.tcp - WARNING - Closing dangling stream in \n" + ] + }, + { + "output_type": "execute_result", "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 12, "metadata": {}, - "output_type": "execute_result" + "execution_count": 13 }, { + "output_type": "display_data", "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] + "text/plain": "
", + "image/svg+xml": "\r\n\r\n\r\n\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n\r\n", + "image/png": "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\n" }, "metadata": { "needs_background": "light" - }, - "output_type": "display_data" + } } ], "source": [ @@ -654,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -667,7 +482,7 @@ "source": [ "### Summary\n", "\n", - "This example shows some basic concepts of the dask operations .compute( ), .visualize( ) and the diagnostic tool ProgressBar." + "This example shows some basic concepts of the dask operations .compute(), .visualize() and the diagnostic tool ProgressBar." ] }, { @@ -697,9 +512,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.7.4-final" } }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/Dask_02_data_chunks_CMIP6.ipynb b/Dask_02_data_chunks_CMIP6.ipynb index 172b758..79f0f70 100755 --- a/Dask_02_data_chunks_CMIP6.ipynb +++ b/Dask_02_data_chunks_CMIP6.ipynb @@ -17,7 +17,7 @@ "* NetCDF file Chunks versus Dask Chunks\n", "* chunk shapes\n", "\n", - "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. Please visit data collection [catalogue](https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563) and [CMIP6 terms of use](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html) for more information. \n", + "The following material uses Coupled Model Intercomparison Project (CMIP6) collections. Please see the data collection [catalogue](https://geonetwork.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/f6600_2266_8675_3563) and [CMIP6 terms of use](https://pcmdi.llnl.gov/CMIP6/TermsOfUse/TermsOfUse6-1.html) for more information. \n", "\n", "---" ] @@ -28,7 +28,7 @@ "source": [ "- Authors: NCI Virtual Research Environment Team\n", "- Keywords: CMIP6, Xarray, Dask, Chunks\n", - "- Create Date: 2019-June; Update Date: 2020-May\n", + "- Creation Date: 2019-June; Updated: 2020-May\n", "---" ] }, @@ -57,170 +57,274 @@ "source": [ "### Data\n", "\n", - "We will use precipitation data update of RCP8.5 based on SSP5 from GFDL-CM4 ensembles in this example. Let's take a look at some of the data:" + "We will use precipitation data from SSP5-85 from the ACCESS-CM2 model in this example. Let's take a look at some of the data:" ] }, { "cell_type": "code", "execution_count": 2, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "netcdf pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231 {\n", + "dimensions:\n", + "\ttime = UNLIMITED ; // (18263 currently)\n", + "\tlat = 144 ;\n", + "\tlon = 192 ;\n", + "\tbnds = 2 ;\n", + "variables:\n", + "\tdouble time(time) ;\n", + "\t\ttime:bounds = \"time_bnds\" ;\n", + "\t\ttime:units = \"days since 1850-01-01\" ;\n", + "\t\ttime:calendar = \"proleptic_gregorian\" ;\n", + "\t\ttime:axis = \"T\" ;\n", + "\t\ttime:long_name = \"time\" ;\n", + "\t\ttime:standard_name = \"time\" ;\n", + "\t\ttime:_Storage = \"chunked\" ;\n", + "\t\ttime:_ChunkSizes = 1 ;\n", + "\t\ttime:_Endianness = \"little\" ;\n", + "\tdouble time_bnds(time, bnds) ;\n", + "\t\ttime_bnds:_Storage = \"chunked\" ;\n", + "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\n", + "\t\ttime_bnds:_DeflateLevel = 1 ;\n", + "\t\ttime_bnds:_Endianness = \"little\" ;\n", + "\tdouble lat(lat) ;\n", + "\t\tlat:bounds = \"lat_bnds\" ;\n", + "\t\tlat:units = \"degrees_north\" ;\n", + "\t\tlat:axis = \"Y\" ;\n", + "\t\tlat:long_name = \"Latitude\" ;\n", + "\t\tlat:standard_name = \"latitude\" ;\n", + "\t\tlat:_Storage = \"contiguous\" ;\n", + "\t\tlat:_Endianness = \"little\" ;\n", + "\tdouble lat_bnds(lat, bnds) ;\n", + "\t\tlat_bnds:_Storage = \"chunked\" ;\n", + "\t\tlat_bnds:_ChunkSizes = 144, 2 ;\n", + "\t\tlat_bnds:_DeflateLevel = 1 ;\n", + "\t\tlat_bnds:_Endianness = \"little\" ;\n", + "\tdouble lon(lon) ;\n", + "\t\tlon:bounds = \"lon_bnds\" ;\n", + "\t\tlon:units = \"degrees_east\" ;\n", + "\t\tlon:axis = \"X\" ;\n", + "\t\tlon:long_name = \"Longitude\" ;\n", + "\t\tlon:standard_name = \"longitude\" ;\n", + "\t\tlon:_Storage = \"contiguous\" ;\n", + "\t\tlon:_Endianness = \"little\" ;\n", + "\tdouble lon_bnds(lon, bnds) ;\n", + "\t\tlon_bnds:_Storage = \"chunked\" ;\n", + "\t\tlon_bnds:_ChunkSizes = 192, 2 ;\n", + "\t\tlon_bnds:_DeflateLevel = 1 ;\n", + "\t\tlon_bnds:_Endianness = \"little\" ;\n", + "\tfloat pr(time, lat, lon) ;\n", + "\t\tpr:standard_name = \"precipitation_flux\" ;\n", + "\t\tpr:long_name = \"Precipitation\" ;\n", + "\t\tpr:comment = \"includes both liquid and solid phases\" ;\n", + "\t\tpr:units = \"kg m-2 s-1\" ;\n", + "\t\tpr:cell_methods = \"area: time: mean\" ;\n", + "\t\tpr:cell_measures = \"area: areacella\" ;\n", + "\t\tpr:history = \"2019-11-08T10:45:49Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).\" ;\n", + "\t\tpr:missing_value = 1.e+20f ;\n", + "\t\tpr:_FillValue = 1.e+20f ;\n", + "\t\tpr:_Storage = \"chunked\" ;\n", + "\t\tpr:_ChunkSizes = 1, 144, 192 ;\n", + "\t\tpr:_DeflateLevel = 1 ;\n", + "\t\tpr:_Endianness = \"little\" ;\n", + "\n", + "// global attributes:\n", + "\t\t:Conventions = \"CF-1.7 CMIP-6.2\" ;\n", + "\t\t:activity_id = \"ScenarioMIP\" ;\n", + "\t\t:branch_method = \"standard\" ;\n", + "\t\t:branch_time_in_child = 60265. ;\n", + "\t\t:branch_time_in_parent = 60265. ;\n", + "\t\t:creation_date = \"2019-11-08T10:45:50Z\" ;\n", + "\t\t:data_specs_version = \"01.00.30\" ;\n", + "\t\t:experiment = \"update of RCP8.5 based on SSP5\" ;\n", + "\t\t:experiment_id = \"ssp585\" ;\n", + "\t\t:external_variables = \"areacella\" ;\n", + "\t\t:forcing_index = 1 ;\n", + "\t\t:frequency = \"day\" ;\n", + "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.ssp585.none.r1i1p1f1\" ;\n", + "\t\t:grid = \"native atmosphere N96 grid (144x192 latxlon)\" ;\n", + "\t\t:grid_label = \"gn\" ;\n", + "\t\t:history = \"2019-11-08T10:45:50Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.\" ;\n", + "\t\t:initialization_index = 1 ;\n", + "\t\t:institution = \"CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)\" ;\n", + "\t\t:institution_id = \"CSIRO-ARCCSS\" ;\n", + "\t\t:mip_era = \"CMIP6\" ;\n", + "\t\t:nominal_resolution = \"250 km\" ;\n", + "\t\t:notes = \"Exp: CM2-ssp585; Local ID: bk786; Variable: pr ([\\'fld_s05i216\\'])\" ;\n", + "\t\t:parent_activity_id = \"CMIP\" ;\n", + "\t\t:parent_experiment_id = \"historical\" ;\n", + "\t\t:parent_mip_era = \"CMIP6\" ;\n", + "\t\t:parent_source_id = \"ACCESS-CM2\" ;\n", + "\t\t:parent_time_units = \"days since 1850-01-01\" ;\n", + "\t\t:parent_variant_label = \"r1i1p1f1\" ;\n", + "\t\t:physics_index = 1 ;\n", + "\t\t:product = \"model-output\" ;\n", + "\t\t:realization_index = 1 ;\n", + "\t\t:realm = \"atmos\" ;\n", + "\t\t:run_variant = \"forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)\" ;\n", + "\t\t:source = \"ACCESS-CM2 (2019): \\n\",\n", + "\t\t\t\"aerosol: UKCA-GLOMAP-mode\\n\",\n", + "\t\t\t\"atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\\n\",\n", + "\t\t\t\"atmosChem: none\\n\",\n", + "\t\t\t\"land: CABLE2.5\\n\",\n", + "\t\t\t\"landIce: none\\n\",\n", + "\t\t\t\"ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\n\",\n", + "\t\t\t\"ocnBgchem: none\\n\",\n", + "\t\t\t\"seaIce: CICE5.1.2 (same grid as ocean)\" ;\n", + "\t\t:source_id = \"ACCESS-CM2\" ;\n", + "\t\t:source_type = \"AOGCM\" ;\n", + "\t\t:sub_experiment = \"none\" ;\n", + "\t\t:sub_experiment_id = \"none\" ;\n", + "\t\t:table_id = \"day\" ;\n", + "\t\t:table_info = \"Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371\" ;\n", + "\t\t:title = \"ACCESS-CM2 output prepared for CMIP6\" ;\n", + "\t\t:variable_id = \"pr\" ;\n", + "\t\t:variant_label = \"r1i1p1f1\" ;\n", + "\t\t:version = \"v20191108\" ;\n", + "\t\t:cmor_version = \"3.4.0\" ;\n", + "\t\t:tracking_id = \"hdl:21.14100/1cade23c-cf5e-4d0e-96f9-4128cd729af7\" ;\n", + "\t\t:license = \"CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\n", + "\t\t:_NCProperties = \"version=2,netcdf=4.6.2,hdf5=1.10.5\" ;\n", + "\t\t:_SuperblockVersion = 0 ;\n", + "\t\t:_IsNetcdf4 = 0 ;\n", + "\t\t:_Format = \"netCDF-4 classic model\" ;\n", + "}\n" + ] + } + ], + "source": [ + "# On Gadi: netcdf module must be loaded\n", + "\n", + "!ncdump -hst '/g/data/fs38/publications/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/v20191108/pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231.nc'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "netcdf pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231 {\r\n", + "netcdf pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231 {\r\n", "dimensions:\r\n", - "\tlat = 180 ;\r\n", + "\ttime = UNLIMITED ; // (18263 currently)\r\n", "\tbnds = 2 ;\r\n", - "\tlon = 288 ;\r\n", - "\ttime = UNLIMITED ; // (7300 currently)\r\n", + "\tlat = 144 ;\r\n", + "\tlon = 192 ;\r\n", "variables:\r\n", + "\tdouble time(time) ;\r\n", + "\t\ttime:bounds = \"time_bnds\" ;\r\n", + "\t\ttime:units = \"days since 1850-01-01\" ;\r\n", + "\t\ttime:calendar = \"proleptic_gregorian\" ;\r\n", + "\t\ttime:axis = \"T\" ;\r\n", + "\t\ttime:long_name = \"time\" ;\r\n", + "\t\ttime:standard_name = \"time\" ;\r\n", + "\t\ttime:_ChunkSizes = 1 ; // \"1850-01-02\"\r\n", + "\tdouble time_bnds(time, bnds) ;\r\n", + "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\r\n", "\tdouble lat(lat) ;\r\n", - "\t\tlat:long_name = \"latitude\" ;\r\n", + "\t\tlat:bounds = \"lat_bnds\" ;\r\n", "\t\tlat:units = \"degrees_north\" ;\r\n", "\t\tlat:axis = \"Y\" ;\r\n", - "\t\tlat:bounds = \"lat_bnds\" ;\r\n", + "\t\tlat:long_name = \"Latitude\" ;\r\n", "\t\tlat:standard_name = \"latitude\" ;\r\n", - "\t\tlat:cell_methods = \"time: point\" ;\r\n", - "\t\tlat:_Storage = \"chunked\" ;\r\n", - "\t\tlat:_ChunkSizes = 180 ;\r\n", - "\t\tlat:_DeflateLevel = 2 ;\r\n", - "\t\tlat:_Shuffle = \"true\" ;\r\n", - "\t\tlat:_Endianness = \"little\" ;\r\n", "\tdouble lat_bnds(lat, bnds) ;\r\n", - "\t\tlat_bnds:long_name = \"latitude bounds\" ;\r\n", - "\t\tlat_bnds:units = \"degrees_north\" ;\r\n", - "\t\tlat_bnds:axis = \"Y\" ;\r\n", - "\t\tlat_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlat_bnds:_ChunkSizes = 180, 2 ;\r\n", - "\t\tlat_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlat_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlat_bnds:_Endianness = \"little\" ;\r\n", + "\t\tlat_bnds:_ChunkSizes = 144, 2 ;\r\n", "\tdouble lon(lon) ;\r\n", - "\t\tlon:long_name = \"longitude\" ;\r\n", + "\t\tlon:bounds = \"lon_bnds\" ;\r\n", "\t\tlon:units = \"degrees_east\" ;\r\n", "\t\tlon:axis = \"X\" ;\r\n", - "\t\tlon:bounds = \"lon_bnds\" ;\r\n", + "\t\tlon:long_name = \"Longitude\" ;\r\n", "\t\tlon:standard_name = \"longitude\" ;\r\n", - "\t\tlon:cell_methods = \"time: point\" ;\r\n", - "\t\tlon:_Storage = \"chunked\" ;\r\n", - "\t\tlon:_ChunkSizes = 288 ;\r\n", - "\t\tlon:_DeflateLevel = 2 ;\r\n", - "\t\tlon:_Shuffle = \"true\" ;\r\n", - "\t\tlon:_Endianness = \"little\" ;\r\n", "\tdouble lon_bnds(lon, bnds) ;\r\n", - "\t\tlon_bnds:long_name = \"longitude bounds\" ;\r\n", - "\t\tlon_bnds:units = \"degrees_east\" ;\r\n", - "\t\tlon_bnds:axis = \"X\" ;\r\n", - "\t\tlon_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlon_bnds:_ChunkSizes = 288, 2 ;\r\n", - "\t\tlon_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlon_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlon_bnds:_Endianness = \"little\" ;\r\n", + "\t\tlon_bnds:_ChunkSizes = 192, 2 ;\r\n", "\tfloat pr(time, lat, lon) ;\r\n", + "\t\tpr:standard_name = \"precipitation_flux\" ;\r\n", "\t\tpr:long_name = \"Precipitation\" ;\r\n", + "\t\tpr:comment = \"includes both liquid and solid phases\" ;\r\n", "\t\tpr:units = \"kg m-2 s-1\" ;\r\n", - "\t\tpr:missing_value = 1.e+20f ;\r\n", - "\t\tpr:_FillValue = 1.e+20f ;\r\n", "\t\tpr:cell_methods = \"area: time: mean\" ;\r\n", "\t\tpr:cell_measures = \"area: areacella\" ;\r\n", - "\t\tpr:standard_name = \"precipitation_flux\" ;\r\n", - "\t\tpr:interp_method = \"conserve_order1\" ;\r\n", - "\t\tpr:original_name = \"pr\" ;\r\n", - "\t\tpr:_Storage = \"chunked\" ;\r\n", - "\t\tpr:_ChunkSizes = 1, 180, 288 ;\r\n", - "\t\tpr:_DeflateLevel = 2 ;\r\n", - "\t\tpr:_Shuffle = \"true\" ;\r\n", - "\t\tpr:_Endianness = \"little\" ;\r\n", - "\tdouble time(time) ;\r\n", - "\t\ttime:long_name = \"time\" ;\r\n", - "\t\ttime:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime:axis = \"T\" ;\r\n", - "\t\ttime:calendar_type = \"noleap\" ;\r\n", - "\t\ttime:calendar = \"noleap\" ;\r\n", - "\t\ttime:bounds = \"time_bnds\" ;\r\n", - "\t\ttime:standard_name = \"time\" ;\r\n", - "\t\ttime:description = \"Temporal mean\" ;\r\n", - "\t\ttime:_Storage = \"chunked\" ;\r\n", - "\t\ttime:_ChunkSizes = 1 ;\r\n", - "\t\ttime:_DeflateLevel = 2 ;\r\n", - "\t\ttime:_Shuffle = \"true\" ;\r\n", - "\t\ttime:_Endianness = \"little\" ;\r\n", - "\tdouble time_bnds(time, bnds) ;\r\n", - "\t\ttime_bnds:long_name = \"time axis boundaries\" ;\r\n", - "\t\ttime_bnds:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime_bnds:_Storage = \"chunked\" ;\r\n", - "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\r\n", - "\t\ttime_bnds:_DeflateLevel = 2 ;\r\n", - "\t\ttime_bnds:_Shuffle = \"true\" ;\r\n", - "\t\ttime_bnds:_Endianness = \"little\" ;\r\n", + "\t\tpr:history = \"2019-11-08T10:45:49Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).\" ;\r\n", + "\t\tpr:missing_value = 1.e+20f ;\r\n", + "\t\tpr:_FillValue = 1.e+20f ;\r\n", + "\t\tpr:_ChunkSizes = 1, 144, 192 ;\r\n", "\r\n", "// global attributes:\r\n", - "\t\t:external_variables = \"areacella\" ;\r\n", - "\t\t:history = \"File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_8FFywjr5HC,realiz_id_Lda2LtjE2s,run_id_Dj7oSa1Fj7]\" ;\r\n", - "\t\t:table_id = \"day\" ;\r\n", + "\t\t:Conventions = \"CF-1.7 CMIP-6.2\" ;\r\n", "\t\t:activity_id = \"ScenarioMIP\" ;\r\n", "\t\t:branch_method = \"standard\" ;\r\n", - "\t\t:branch_time_in_child = 0. ;\r\n", - "\t\t:comment = \"\" ;\r\n", - "\t\t:contact = \"gfdl.climate.model.info@noaa.gov\" ;\r\n", - "\t\t:Conventions = \"CF-1.7 CMIP-6.0 UGRID-1.0\" ;\r\n", - "\t\t:creation_date = \"2019-03-18T15:13:56Z\" ;\r\n", - "\t\t:data_specs_version = \"01.00.27\" ;\r\n", + "\t\t:branch_time_in_child = 60265. ;\r\n", + "\t\t:branch_time_in_parent = 60265. ;\r\n", + "\t\t:creation_date = \"2019-11-08T10:45:50Z\" ;\r\n", + "\t\t:data_specs_version = \"01.00.30\" ;\r\n", "\t\t:experiment = \"update of RCP8.5 based on SSP5\" ;\r\n", "\t\t:experiment_id = \"ssp585\" ;\r\n", + "\t\t:external_variables = \"areacella\" ;\r\n", "\t\t:forcing_index = 1 ;\r\n", "\t\t:frequency = \"day\" ;\r\n", - "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-CM4.ssp585.none.r1i1p1f1\" ;\r\n", - "\t\t:grid = \"atmos data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1\" ;\r\n", - "\t\t:grid_label = \"gr1\" ;\r\n", + "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.ssp585.none.r1i1p1f1\" ;\r\n", + "\t\t:grid = \"native atmosphere N96 grid (144x192 latxlon)\" ;\r\n", + "\t\t:grid_label = \"gn\" ;\r\n", + "\t\t:history = \"2019-11-08T10:45:50Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.\" ;\r\n", "\t\t:initialization_index = 1 ;\r\n", - "\t\t:institution = \"National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA\" ;\r\n", - "\t\t:institution_id = \"NOAA-GFDL\" ;\r\n", - "\t\t:license = \"CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\r\n", + "\t\t:institution = \"CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)\" ;\r\n", + "\t\t:institution_id = \"CSIRO-ARCCSS\" ;\r\n", "\t\t:mip_era = \"CMIP6\" ;\r\n", - "\t\t:nominal_resolution = \"100 km\" ;\r\n", + "\t\t:nominal_resolution = \"250 km\" ;\r\n", + "\t\t:notes = \"Exp: CM2-ssp585; Local ID: bk786; Variable: pr ([\\'fld_s05i216\\'])\" ;\r\n", "\t\t:parent_activity_id = \"CMIP\" ;\r\n", "\t\t:parent_experiment_id = \"historical\" ;\r\n", "\t\t:parent_mip_era = \"CMIP6\" ;\r\n", - "\t\t:parent_source_id = \"GFDL-CM4\" ;\r\n", + "\t\t:parent_source_id = \"ACCESS-CM2\" ;\r\n", + "\t\t:parent_time_units = \"days since 1850-01-01\" ;\r\n", "\t\t:parent_variant_label = \"r1i1p1f1\" ;\r\n", "\t\t:physics_index = 1 ;\r\n", "\t\t:product = \"model-output\" ;\r\n", "\t\t:realization_index = 1 ;\r\n", "\t\t:realm = \"atmos\" ;\r\n", - "\t\t:source = \"GFDL-CM4 (2018): \\n\",\r\n", - "\t\t\t\"aerosol: interactive\\n\",\r\n", - "\t\t\t\"atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa)\\n\",\r\n", - "\t\t\t\"atmosChem: fast chemistry, aerosol only\\n\",\r\n", - "\t\t\t\"land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bot level 10m); land:Veg:unnamed (dynamic vegetation, dynamic land use); land:Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes)\\n\",\r\n", - "\t\t\t\"landIce: GFDL-LM4.0.1\\n\",\r\n", - "\t\t\t\"ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m)\\n\",\r\n", - "\t\t\t\"ocnBgchem: GFDL-BLINGv2\\n\",\r\n", - "\t\t\t\"seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories)\\n\",\r\n", - "\t\t\t\"(GFDL ID: 2019_0186)\" ;\r\n", - "\t\t:source_id = \"GFDL-CM4\" ;\r\n", + "\t\t:run_variant = \"forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)\" ;\r\n", + "\t\t:source = \"ACCESS-CM2 (2019): \\n\",\r\n", + "\t\t\t\"aerosol: UKCA-GLOMAP-mode\\n\",\r\n", + "\t\t\t\"atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\\n\",\r\n", + "\t\t\t\"atmosChem: none\\n\",\r\n", + "\t\t\t\"land: CABLE2.5\\n\",\r\n", + "\t\t\t\"landIce: none\\n\",\r\n", + "\t\t\t\"ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\\n\",\r\n", + "\t\t\t\"ocnBgchem: none\\n\",\r\n", + "\t\t\t\"seaIce: CICE5.1.2 (same grid as ocean)\" ;\r\n", + "\t\t:source_id = \"ACCESS-CM2\" ;\r\n", "\t\t:source_type = \"AOGCM\" ;\r\n", "\t\t:sub_experiment = \"none\" ;\r\n", "\t\t:sub_experiment_id = \"none\" ;\r\n", - "\t\t:title = \"NOAA GFDL GFDL-CM4 model output prepared for CMIP6 update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:tracking_id = \"hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\" ;\r\n", + "\t\t:table_id = \"day\" ;\r\n", + "\t\t:table_info = \"Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371\" ;\r\n", + "\t\t:title = \"ACCESS-CM2 output prepared for CMIP6\" ;\r\n", "\t\t:variable_id = \"pr\" ;\r\n", - "\t\t:variant_info = \"N/A\" ;\r\n", - "\t\t:references = \"see further_info_url attribute\" ;\r\n", "\t\t:variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:branch_time_in_parent = 60225. ;\r\n", - "\t\t:parent_time_units = \"days since 1850-1-1\" ;\r\n", - "\t\t:_SuperblockVersion = 2 ;\r\n", - "\t\t:_IsNetcdf4 = 1 ;\r\n", - "\t\t:_Format = \"netCDF-4 classic model\" ;\r\n", + "\t\t:version = \"v20191108\" ;\r\n", + "\t\t:cmor_version = \"3.4.0\" ;\r\n", + "\t\t:tracking_id = \"hdl:21.14100/1cade23c-cf5e-4d0e-96f9-4128cd729af7\" ;\r\n", + "\t\t:license = \"CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\r\n", + "\t\t:DODS_EXTRA.Unlimited_Dimension = \"time\" ;\r\n", + "\t\t:_NCProperties = \"version=2,netcdf=4.6.2,hdf5=1.10.5\" ;\r\n", + "\t\t:_Format = \"classic\" ;\r\n", "}\r\n" ] } ], "source": [ - "!ncdump -hst '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc'" + "# Outside of Gadi, access via THREDDS\n", + "\n", + "!ncdump -hst 'https://esgf.nci.org.au/thredds/dodsC/master/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/v20191108/pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231.nc'" ] }, { @@ -236,29 +340,55 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20350101-20541231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20550101-20741231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20750101-20941231.nc\r\n", - "pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20950101-21001231.nc\r\n" + "pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231.nc\r\n", + "pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20650101-21001231.nc\r\n" ] } ], "source": [ - "!ls /g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701\n", - "path = '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/*'" + "# On Gadi\n", + "\n", + "!ls /g/data/fs38/publications/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/v20191108\n", + "path = '/g/data/fs38/publications/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/v20191108/*'" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20150101-20641231.nc\n", + "pr_day_ACCESS-CM2_ssp585_r1i1p1f1_gn_20650101-21001231.nc\n" + ] + } + ], + "source": [ + "# Remote access\n", + "\n", + "from siphon.catalog import TDSCatalog\n", + "\n", + "cat = TDSCatalog(\"http://dapds00.nci.org.au/thredds/catalog/fs38/publications/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/latest/catalog.xml\")\n", + "print(\"\\n\".join(cat.datasets.keys()))\n", + "\n", + "filelist=list(cat.datasets.keys())\n", + "DAProot='https://esgf.nci.org.au/thredds/dodsC/master/CMIP6/ScenarioMIP/CSIRO-ARCCSS/ACCESS-CM2/ssp585/r1i1p1f1/day/pr/gn/v20191108/'\n", + "path = [ DAProot+f for f in filelist ]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -615,86 +745,150 @@ " fill: currentColor;\n", "}\n", "
<xarray.Dataset>\n",
-       "Dimensions:    (bnds: 2, lat: 180, lon: 288, time: 31390)\n",
+       "Dimensions:    (bnds: 2, lat: 144, lon: 192, time: 31411)\n",
        "Coordinates:\n",
-       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
-       "  * lon        (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
-       "  * time       (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
+       "  * time       (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
+       "  * lat        (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
+       "  * lon        (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
        "Dimensions without coordinates: bnds\n",
        "Data variables:\n",
-       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(7300, 180, 2), meta=np.ndarray>\n",
-       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(7300, 288, 2), meta=np.ndarray>\n",
-       "    pr         (time, lat, lon) float32 dask.array<chunksize=(7300, 180, 288), meta=np.ndarray>\n",
-       "    time_bnds  (time, bnds) object dask.array<chunksize=(7300, 2), meta=np.ndarray>\n",
+       "    time_bnds  (time, bnds) datetime64[ns] dask.array<chunksize=(18263, 2), meta=np.ndarray>\n",
+       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(18263, 144, 2), meta=np.ndarray>\n",
+       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(18263, 192, 2), meta=np.ndarray>\n",
+       "    pr         (time, lat, lon) float32 dask.array<chunksize=(18263, 144, 192), meta=np.ndarray>\n",
        "Attributes:\n",
-       "    external_variables:     areacella\n",
-       "    history:                File was processed by fremetar (GFDL analog of CM...\n",
-       "    table_id:               day\n",
-       "    activity_id:            ScenarioMIP\n",
-       "    branch_method:          standard\n",
-       "    branch_time_in_child:   0.0\n",
-       "    comment:                <null ref>\n",
-       "    contact:                gfdl.climate.model.info@noaa.gov\n",
-       "    Conventions:            CF-1.7 CMIP-6.0 UGRID-1.0\n",
-       "    creation_date:          2019-03-18T15:13:56Z\n",
-       "    data_specs_version:     01.00.27\n",
-       "    experiment:             update of RCP8.5 based on SSP5\n",
-       "    experiment_id:          ssp585\n",
-       "    forcing_index:          1\n",
-       "    frequency:              day\n",
-       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n",
-       "    grid:                   atmos data regridded from Cubed-sphere (c96) to 1...\n",
-       "    grid_label:             gr1\n",
-       "    initialization_index:   1\n",
-       "    institution:            National Oceanic and Atmospheric Administration, ...\n",
-       "    institution_id:         NOAA-GFDL\n",
-       "    license:                CMIP6 model data produced by NOAA-GFDL is license...\n",
-       "    mip_era:                CMIP6\n",
-       "    nominal_resolution:     100 km\n",
-       "    parent_activity_id:     CMIP\n",
-       "    parent_experiment_id:   historical\n",
-       "    parent_mip_era:         CMIP6\n",
-       "    parent_source_id:       GFDL-CM4\n",
-       "    parent_variant_label:   r1i1p1f1\n",
-       "    physics_index:          1\n",
-       "    product:                model-output\n",
-       "    realization_index:      1\n",
-       "    realm:                  atmos\n",
-       "    source:                 GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n",
-       "    source_id:              GFDL-CM4\n",
-       "    source_type:            AOGCM\n",
-       "    sub_experiment:         none\n",
-       "    sub_experiment_id:      none\n",
-       "    title:                  NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n",
-       "    tracking_id:            hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n",
-       "    variable_id:            pr\n",
-       "    variant_info:           N/A\n",
-       "    references:             see further_info_url attribute\n",
-       "    variant_label:          r1i1p1f1\n",
-       "    branch_time_in_parent:  60225.0\n",
-       "    parent_time_units:      days since 1850-1-1
" + "
  • Conventions :
    CF-1.7 CMIP-6.2
    activity_id :
    ScenarioMIP
    branch_method :
    standard
    branch_time_in_child :
    60265.0
    branch_time_in_parent :
    60265.0
    creation_date :
    2019-11-08T10:45:50Z
    data_specs_version :
    01.00.30
    experiment :
    update of RCP8.5 based on SSP5
    experiment_id :
    ssp585
    external_variables :
    areacella
    forcing_index :
    1
    frequency :
    day
    further_info_url :
    https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.ssp585.none.r1i1p1f1
    grid :
    native atmosphere N96 grid (144x192 latxlon)
    grid_label :
    gn
    history :
    2019-11-08T10:45:50Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
    initialization_index :
    1
    institution :
    CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)
    institution_id :
    CSIRO-ARCCSS
    mip_era :
    CMIP6
    nominal_resolution :
    250 km
    notes :
    Exp: CM2-ssp585; Local ID: bk786; Variable: pr (['fld_s05i216'])
    parent_activity_id :
    CMIP
    parent_experiment_id :
    historical
    parent_mip_era :
    CMIP6
    parent_source_id :
    ACCESS-CM2
    parent_time_units :
    days since 1850-01-01
    parent_variant_label :
    r1i1p1f1
    physics_index :
    1
    product :
    model-output
    realization_index :
    1
    realm :
    atmos
    run_variant :
    forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
    source :
    ACCESS-CM2 (2019): \n", + "aerosol: UKCA-GLOMAP-mode\n", + "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n", + "atmosChem: none\n", + "land: CABLE2.5\n", + "landIce: none\n", + "ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\n", + "ocnBgchem: none\n", + "seaIce: CICE5.1.2 (same grid as ocean)
    source_id :
    ACCESS-CM2
    source_type :
    AOGCM
    sub_experiment :
    none
    sub_experiment_id :
    none
    table_id :
    day
    table_info :
    Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371
    title :
    ACCESS-CM2 output prepared for CMIP6
    variable_id :
    pr
    variant_label :
    r1i1p1f1
    version :
    v20191108
    cmor_version :
    3.4.0
    _NCProperties :
    version=2,netcdf=4.6.2,hdf5=1.10.5
    tracking_id :
    hdl:21.14100/1cade23c-cf5e-4d0e-96f9-4128cd729af7
    license :
    CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
    DODS_EXTRA.Unlimited_Dimension :
    time
  • " ], "text/plain": [ "\n", - "Dimensions: (bnds: 2, lat: 180, lon: 288, time: 31390)\n", + "Dimensions: (bnds: 2, lat: 144, lon: 192, time: 31411)\n", "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", + " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " pr (time, lat, lon) float32 dask.array\n", - " time_bnds (time, bnds) object dask.array\n", + " time_bnds (time, bnds) datetime64[ns] dask.array\n", + " lat_bnds (time, lat, bnds) float64 dask.array\n", + " lon_bnds (time, lon, bnds) float64 dask.array\n", + " pr (time, lat, lon) float32 dask.array\n", "Attributes:\n", - " external_variables: areacella\n", - " history: File was processed by fremetar (GFDL analog of CM...\n", - " table_id: day\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " comment: \n", - " contact: gfdl.climate.model.info@noaa.gov\n", - " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", - " creation_date: 2019-03-18T15:13:56Z\n", - " data_specs_version: 01.00.27\n", - " experiment: update of RCP8.5 based on SSP5\n", - " experiment_id: ssp585\n", - " forcing_index: 1\n", - " frequency: day\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n", - " grid: atmos data regridded from Cubed-sphere (c96) to 1...\n", - " grid_label: gr1\n", - " initialization_index: 1\n", - " institution: National Oceanic and Atmospheric Administration, ...\n", - " institution_id: NOAA-GFDL\n", - " license: CMIP6 model data produced by NOAA-GFDL is license...\n", - " mip_era: CMIP6\n", - " nominal_resolution: 100 km\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: historical\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: GFDL-CM4\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " source: GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n", - " source_id: GFDL-CM4\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " title: NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n", - " tracking_id: hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n", - " variable_id: pr\n", - " variant_info: N/A\n", - " references: see further_info_url attribute\n", - " variant_label: r1i1p1f1\n", - " branch_time_in_parent: 60225.0\n", - " parent_time_units: days since 1850-1-1" + " Conventions: CF-1.7 CMIP-6.2\n", + " activity_id: ScenarioMIP\n", + " branch_method: standard\n", + " branch_time_in_child: 60265.0\n", + " branch_time_in_parent: 60265.0\n", + " creation_date: 2019-11-08T10:45:50Z\n", + " data_specs_version: 01.00.30\n", + " experiment: update of RCP8.5 based on SSP5\n", + " experiment_id: ssp585\n", + " external_variables: areacella\n", + " forcing_index: 1\n", + " frequency: day\n", + " further_info_url: https://furtherinfo.es-doc.org/CMIP6.CSI...\n", + " grid: native atmosphere N96 grid (144x192 latx...\n", + " grid_label: gn\n", + " history: 2019-11-08T10:45:50Z ; CMOR rewrote data...\n", + " initialization_index: 1\n", + " institution: CSIRO (Commonwealth Scientific and Indus...\n", + " institution_id: CSIRO-ARCCSS\n", + " mip_era: CMIP6\n", + " nominal_resolution: 250 km\n", + " notes: Exp: CM2-ssp585; Local ID: bk786; Variab...\n", + " parent_activity_id: CMIP\n", + " parent_experiment_id: historical\n", + " parent_mip_era: CMIP6\n", + " parent_source_id: ACCESS-CM2\n", + " parent_time_units: days since 1850-01-01\n", + " parent_variant_label: r1i1p1f1\n", + " physics_index: 1\n", + " product: model-output\n", + " realization_index: 1\n", + " realm: atmos\n", + " run_variant: forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (G...\n", + " source: ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMA...\n", + " source_id: ACCESS-CM2\n", + " source_type: AOGCM\n", + " sub_experiment: none\n", + " sub_experiment_id: none\n", + " table_id: day\n", + " table_info: Creation Date:(30 April 2019) MD5:e14f55...\n", + " title: ACCESS-CM2 output prepared for CMIP6\n", + " variable_id: pr\n", + " variant_label: r1i1p1f1\n", + " version: v20191108\n", + " cmor_version: 3.4.0\n", + " _NCProperties: version=2,netcdf=4.6.2,hdf5=1.10.5\n", + " tracking_id: hdl:21.14100/1cade23c-cf5e-4d0e-96f9-412...\n", + " license: CMIP6 model data produced by CSIRO is li...\n", + " DODS_EXTRA.Unlimited_Dimension: time" ] }, - "execution_count": 4, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1029,183 +1168,21 @@ "source": [ "### Chunks\n", "\n", - "Notice that it says:`pr(time, lat, lon) float32 dask.array`. There is now the `chunksize` component. The data array also becomes a Dask array.\n", + "Notice that it says:`pr(time, lat, lon) float32 dask.array`. There is now the `chunksize` component. The data array also becomes a Dask array.\n", "\n", "The chunking of the array comes from the integration of Dask with Xarray. Dask divides the data array into small pieces called \"chunks\", with each chunk designed to be small enough to fit into memory. \n", "\n", "The file itself may be already chunked. Filesystem chunking is available in netCDF-4 and HDF5 datasets. The CMIP6 data should all be netCDF-4 and include some form of chunking for each file." ] }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "netcdf pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231 {\r\n", - "dimensions:\r\n", - "\tlat = 180 ;\r\n", - "\tbnds = 2 ;\r\n", - "\tlon = 288 ;\r\n", - "\ttime = UNLIMITED ; // (7300 currently)\r\n", - "variables:\r\n", - "\tdouble lat(lat) ;\r\n", - "\t\tlat:long_name = \"latitude\" ;\r\n", - "\t\tlat:units = \"degrees_north\" ;\r\n", - "\t\tlat:axis = \"Y\" ;\r\n", - "\t\tlat:bounds = \"lat_bnds\" ;\r\n", - "\t\tlat:standard_name = \"latitude\" ;\r\n", - "\t\tlat:cell_methods = \"time: point\" ;\r\n", - "\t\tlat:_Storage = \"chunked\" ;\r\n", - "\t\tlat:_ChunkSizes = 180 ;\r\n", - "\t\tlat:_DeflateLevel = 2 ;\r\n", - "\t\tlat:_Shuffle = \"true\" ;\r\n", - "\t\tlat:_Endianness = \"little\" ;\r\n", - "\tdouble lat_bnds(lat, bnds) ;\r\n", - "\t\tlat_bnds:long_name = \"latitude bounds\" ;\r\n", - "\t\tlat_bnds:units = \"degrees_north\" ;\r\n", - "\t\tlat_bnds:axis = \"Y\" ;\r\n", - "\t\tlat_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlat_bnds:_ChunkSizes = 180, 2 ;\r\n", - "\t\tlat_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlat_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlat_bnds:_Endianness = \"little\" ;\r\n", - "\tdouble lon(lon) ;\r\n", - "\t\tlon:long_name = \"longitude\" ;\r\n", - "\t\tlon:units = \"degrees_east\" ;\r\n", - "\t\tlon:axis = \"X\" ;\r\n", - "\t\tlon:bounds = \"lon_bnds\" ;\r\n", - "\t\tlon:standard_name = \"longitude\" ;\r\n", - "\t\tlon:cell_methods = \"time: point\" ;\r\n", - "\t\tlon:_Storage = \"chunked\" ;\r\n", - "\t\tlon:_ChunkSizes = 288 ;\r\n", - "\t\tlon:_DeflateLevel = 2 ;\r\n", - "\t\tlon:_Shuffle = \"true\" ;\r\n", - "\t\tlon:_Endianness = \"little\" ;\r\n", - "\tdouble lon_bnds(lon, bnds) ;\r\n", - "\t\tlon_bnds:long_name = \"longitude bounds\" ;\r\n", - "\t\tlon_bnds:units = \"degrees_east\" ;\r\n", - "\t\tlon_bnds:axis = \"X\" ;\r\n", - "\t\tlon_bnds:_Storage = \"chunked\" ;\r\n", - "\t\tlon_bnds:_ChunkSizes = 288, 2 ;\r\n", - "\t\tlon_bnds:_DeflateLevel = 2 ;\r\n", - "\t\tlon_bnds:_Shuffle = \"true\" ;\r\n", - "\t\tlon_bnds:_Endianness = \"little\" ;\r\n", - "\tfloat pr(time, lat, lon) ;\r\n", - "\t\tpr:long_name = \"Precipitation\" ;\r\n", - "\t\tpr:units = \"kg m-2 s-1\" ;\r\n", - "\t\tpr:missing_value = 1.e+20f ;\r\n", - "\t\tpr:_FillValue = 1.e+20f ;\r\n", - "\t\tpr:cell_methods = \"area: time: mean\" ;\r\n", - "\t\tpr:cell_measures = \"area: areacella\" ;\r\n", - "\t\tpr:standard_name = \"precipitation_flux\" ;\r\n", - "\t\tpr:interp_method = \"conserve_order1\" ;\r\n", - "\t\tpr:original_name = \"pr\" ;\r\n", - "\t\tpr:_Storage = \"chunked\" ;\r\n", - "\t\tpr:_ChunkSizes = 1, 180, 288 ;\r\n", - "\t\tpr:_DeflateLevel = 2 ;\r\n", - "\t\tpr:_Shuffle = \"true\" ;\r\n", - "\t\tpr:_Endianness = \"little\" ;\r\n", - "\tdouble time(time) ;\r\n", - "\t\ttime:long_name = \"time\" ;\r\n", - "\t\ttime:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime:axis = \"T\" ;\r\n", - "\t\ttime:calendar_type = \"noleap\" ;\r\n", - "\t\ttime:calendar = \"noleap\" ;\r\n", - "\t\ttime:bounds = \"time_bnds\" ;\r\n", - "\t\ttime:standard_name = \"time\" ;\r\n", - "\t\ttime:description = \"Temporal mean\" ;\r\n", - "\t\ttime:_Storage = \"chunked\" ;\r\n", - "\t\ttime:_ChunkSizes = 1 ;\r\n", - "\t\ttime:_DeflateLevel = 2 ;\r\n", - "\t\ttime:_Shuffle = \"true\" ;\r\n", - "\t\ttime:_Endianness = \"little\" ;\r\n", - "\tdouble time_bnds(time, bnds) ;\r\n", - "\t\ttime_bnds:long_name = \"time axis boundaries\" ;\r\n", - "\t\ttime_bnds:units = \"days since 1850-01-01 00:00:00\" ;\r\n", - "\t\ttime_bnds:_Storage = \"chunked\" ;\r\n", - "\t\ttime_bnds:_ChunkSizes = 1, 2 ;\r\n", - "\t\ttime_bnds:_DeflateLevel = 2 ;\r\n", - "\t\ttime_bnds:_Shuffle = \"true\" ;\r\n", - "\t\ttime_bnds:_Endianness = \"little\" ;\r\n", - "\r\n", - "// global attributes:\r\n", - "\t\t:external_variables = \"areacella\" ;\r\n", - "\t\t:history = \"File was processed by fremetar (GFDL analog of CMOR). TripleID: [exper_id_8FFywjr5HC,realiz_id_Lda2LtjE2s,run_id_Dj7oSa1Fj7]\" ;\r\n", - "\t\t:table_id = \"day\" ;\r\n", - "\t\t:activity_id = \"ScenarioMIP\" ;\r\n", - "\t\t:branch_method = \"standard\" ;\r\n", - "\t\t:branch_time_in_child = 0. ;\r\n", - "\t\t:comment = \"\" ;\r\n", - "\t\t:contact = \"gfdl.climate.model.info@noaa.gov\" ;\r\n", - "\t\t:Conventions = \"CF-1.7 CMIP-6.0 UGRID-1.0\" ;\r\n", - "\t\t:creation_date = \"2019-03-18T15:13:56Z\" ;\r\n", - "\t\t:data_specs_version = \"01.00.27\" ;\r\n", - "\t\t:experiment = \"update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:experiment_id = \"ssp585\" ;\r\n", - "\t\t:forcing_index = 1 ;\r\n", - "\t\t:frequency = \"day\" ;\r\n", - "\t\t:further_info_url = \"https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GFDL-CM4.ssp585.none.r1i1p1f1\" ;\r\n", - "\t\t:grid = \"atmos data regridded from Cubed-sphere (c96) to 180,288; interpolation method: conserve_order1\" ;\r\n", - "\t\t:grid_label = \"gr1\" ;\r\n", - "\t\t:initialization_index = 1 ;\r\n", - "\t\t:institution = \"National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA\" ;\r\n", - "\t\t:institution_id = \"NOAA-GFDL\" ;\r\n", - "\t\t:license = \"CMIP6 model data produced by NOAA-GFDL is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.\" ;\r\n", - "\t\t:mip_era = \"CMIP6\" ;\r\n", - "\t\t:nominal_resolution = \"100 km\" ;\r\n", - "\t\t:parent_activity_id = \"CMIP\" ;\r\n", - "\t\t:parent_experiment_id = \"historical\" ;\r\n", - "\t\t:parent_mip_era = \"CMIP6\" ;\r\n", - "\t\t:parent_source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:parent_variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:physics_index = 1 ;\r\n", - "\t\t:product = \"model-output\" ;\r\n", - "\t\t:realization_index = 1 ;\r\n", - "\t\t:realm = \"atmos\" ;\r\n", - "\t\t:source = \"GFDL-CM4 (2018): \\n\",\r\n", - "\t\t\t\"aerosol: interactive\\n\",\r\n", - "\t\t\t\"atmos: GFDL-AM4.0.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 33 levels; top level 1 hPa)\\n\",\r\n", - "\t\t\t\"atmosChem: fast chemistry, aerosol only\\n\",\r\n", - "\t\t\t\"land: GFDL-LM4.0.1 (1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 20 levels; bot level 10m); land:Veg:unnamed (dynamic vegetation, dynamic land use); land:Hydro:unnamed (soil water and ice, multi-layer snow, rivers and lakes)\\n\",\r\n", - "\t\t\t\"landIce: GFDL-LM4.0.1\\n\",\r\n", - "\t\t\t\"ocean: GFDL-OM4p25 (GFDL-MOM6, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 75 levels; top grid cell 0-2 m)\\n\",\r\n", - "\t\t\t\"ocnBgchem: GFDL-BLINGv2\\n\",\r\n", - "\t\t\t\"seaIce: GFDL-SIM4p25 (GFDL-SIS2.0, tripolar - nominal 0.25 deg; 1440 x 1080 longitude/latitude; 5 layers; 5 thickness categories)\\n\",\r\n", - "\t\t\t\"(GFDL ID: 2019_0186)\" ;\r\n", - "\t\t:source_id = \"GFDL-CM4\" ;\r\n", - "\t\t:source_type = \"AOGCM\" ;\r\n", - "\t\t:sub_experiment = \"none\" ;\r\n", - "\t\t:sub_experiment_id = \"none\" ;\r\n", - "\t\t:title = \"NOAA GFDL GFDL-CM4 model output prepared for CMIP6 update of RCP8.5 based on SSP5\" ;\r\n", - "\t\t:tracking_id = \"hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\" ;\r\n", - "\t\t:variable_id = \"pr\" ;\r\n", - "\t\t:variant_info = \"N/A\" ;\r\n", - "\t\t:references = \"see further_info_url attribute\" ;\r\n", - "\t\t:variant_label = \"r1i1p1f1\" ;\r\n", - "\t\t:branch_time_in_parent = 60225. ;\r\n", - "\t\t:parent_time_units = \"days since 1850-1-1\" ;\r\n", - "\t\t:_SuperblockVersion = 2 ;\r\n", - "\t\t:_IsNetcdf4 = 1 ;\r\n", - "\t\t:_Format = \"netCDF-4 classic model\" ;\r\n", - "}\r\n" - ] - } - ], - "source": [ - "!ncdump -hst '/g/data/oi10/replicas/CMIP6/ScenarioMIP/NOAA-GFDL/GFDL-CM4/ssp585/r1i1p1f1/day/pr/gr1/v20180701/pr_day_GFDL-CM4_ssp585_r1i1p1f1_gr1_20150101-20341231.nc'" - ] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "#### In this case the file is chunked such that `pr:_ChunkSizes = 1, 180, 288 ;`\n", + "#### Looking at the file metadata in the \"Data\" section above, we see in this case the file is chunked such that \n", + "#### `pr:_ChunkSizes = 1, 144, 192 ;`\n", "\n", - "Here we see that the data is chunked in time, where one chunk is one time-step and all points in lat-lon.\n", + "Here we see that the data is chunked in space but not time, where one chunk is one time-step and all points in lat-lon.\n", "\n", "![](images/chunks.png)\n", "image source: https://www.unidata.ucar.edu/blogs/developer/en/entry/chunking_data_why_it_matters\n", @@ -1225,15 +1202,17 @@ }, { "cell_type": "code", - "execution_count": 6, - "metadata": {}, + "execution_count": 7, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 20.7 ms, sys: 12.7 ms, total: 33.4 ms\n", - "Wall time: 99.6 ms\n" + "CPU times: user 35.1 ms, sys: 8.69 ms, total: 43.8 ms\n", + "Wall time: 135 ms\n" ] }, { @@ -1589,92 +1568,121 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'pr' (time: 1, lat: 180, lon: 288)>\n",
    -       "array([[[1.1679080e-07, 1.1679080e-07, 1.1679080e-07, ...,\n",
    -       "         1.1679080e-07, 1.1679080e-07, 1.1679080e-07],\n",
    -       "        [5.6357038e-08, 5.6899808e-08, 5.7449537e-08, ...,\n",
    -       "         5.4770052e-08, 5.5292201e-08, 5.5821182e-08],\n",
    -       "        [7.7667160e-08, 7.7346748e-08, 7.7024652e-08, ...,\n",
    -       "         7.8618250e-08, 7.8302911e-08, 7.7985881e-08],\n",
    +       "
    <xarray.DataArray 'pr' (time: 1, lat: 144, lon: 192)>\n",
    +       "array([[[1.6359276e-05, 1.1489548e-05, 1.1842003e-05, ...,\n",
    +       "         2.6086314e-05, 2.8186410e-05, 1.7582113e-05],\n",
    +       "        [2.6601911e-05, 2.8185083e-05, 2.2405620e-05, ...,\n",
    +       "         1.7252434e-05, 2.2461660e-05, 2.7394799e-05],\n",
    +       "        [8.8953284e-06, 1.6366070e-05, 2.8468858e-05, ...,\n",
    +       "         2.3836124e-06, 2.5670124e-06, 4.2845654e-06],\n",
            "        ...,\n",
    -       "        [7.0853553e-06, 7.2527428e-06, 7.4210134e-06, ...,\n",
    -       "         6.5884897e-06, 6.7532287e-06, 6.9188504e-06],\n",
    -       "        [2.2063125e-05, 2.2134822e-05, 2.2207438e-05, ...,\n",
    -       "         2.1853495e-05, 2.1922468e-05, 2.1992342e-05],\n",
    -       "        [3.0045994e-05, 3.0045994e-05, 3.0045994e-05, ...,\n",
    -       "         3.0045994e-05, 3.0045994e-05, 3.0045994e-05]]], dtype=float32)\n",
    +       "        [1.6479444e-06, 1.4545669e-06, 1.0920535e-06, ...,\n",
    +       "         1.7799719e-06, 1.7468499e-06, 1.7031343e-06],\n",
    +       "        [3.6177703e-08, 3.3514027e-08, 2.8007335e-08, ...,\n",
    +       "         2.8953947e-08, 3.2579656e-08, 3.5454985e-08],\n",
    +       "        [4.3186881e-09, 4.3916062e-09, 4.4698378e-09, ...,\n",
    +       "         4.2707637e-09, 4.2820667e-09, 4.2873936e-09]]], dtype=float32)\n",
            "Coordinates:\n",
    -       "  * lat      (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n",
    -       "  * lon      (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
    -       "  * time     (time) object 2015-01-01 12:00:00\n",
    +       "  * time     (time) datetime64[ns] 2015-01-01T12:00:00\n",
    +       "  * lat      (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
    +       "  * lon      (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
            "Attributes:\n",
    +       "    standard_name:  precipitation_flux\n",
            "    long_name:      Precipitation\n",
    +       "    comment:        includes both liquid and solid phases\n",
            "    units:          kg m-2 s-1\n",
            "    cell_methods:   area: time: mean\n",
            "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    • time
      (time)
      datetime64[ns]
      2015-01-01T12:00:00
      bounds :
      time_bnds
      axis :
      T
      long_name :
      time
      standard_name :
      time
      _ChunkSizes :
      1
      array(['2015-01-01T12:00:00.000000000'], dtype='datetime64[ns]')
    • lat
      (lat)
      float64
      -89.38 -88.12 ... 88.12 89.38
      bounds :
      lat_bnds
      units :
      degrees_north
      axis :
      Y
      long_name :
      Latitude
      standard_name :
      latitude
      array([-89.375, -88.125, -86.875, -85.625, -84.375, -83.125, -81.875, -80.625,\n",
      +       "       -79.375, -78.125, -76.875, -75.625, -74.375, -73.125, -71.875, -70.625,\n",
      +       "       -69.375, -68.125, -66.875, -65.625, -64.375, -63.125, -61.875, -60.625,\n",
      +       "       -59.375, -58.125, -56.875, -55.625, -54.375, -53.125, -51.875, -50.625,\n",
      +       "       -49.375, -48.125, -46.875, -45.625, -44.375, -43.125, -41.875, -40.625,\n",
      +       "       -39.375, -38.125, -36.875, -35.625, -34.375, -33.125, -31.875, -30.625,\n",
      +       "       -29.375, -28.125, -26.875, -25.625, -24.375, -23.125, -21.875, -20.625,\n",
      +       "       -19.375, -18.125, -16.875, -15.625, -14.375, -13.125, -11.875, -10.625,\n",
      +       "        -9.375,  -8.125,  -6.875,  -5.625,  -4.375,  -3.125,  -1.875,  -0.625,\n",
      +       "         0.625,   1.875,   3.125,   4.375,   5.625,   6.875,   8.125,   9.375,\n",
      +       "        10.625,  11.875,  13.125,  14.375,  15.625,  16.875,  18.125,  19.375,\n",
      +       "        20.625,  21.875,  23.125,  24.375,  25.625,  26.875,  28.125,  29.375,\n",
      +       "        30.625,  31.875,  33.125,  34.375,  35.625,  36.875,  38.125,  39.375,\n",
      +       "        40.625,  41.875,  43.125,  44.375,  45.625,  46.875,  48.125,  49.375,\n",
      +       "        50.625,  51.875,  53.125,  54.375,  55.625,  56.875,  58.125,  59.375,\n",
      +       "        60.625,  61.875,  63.125,  64.375,  65.625,  66.875,  68.125,  69.375,\n",
      +       "        70.625,  71.875,  73.125,  74.375,  75.625,  76.875,  78.125,  79.375,\n",
      +       "        80.625,  81.875,  83.125,  84.375,  85.625,  86.875,  88.125,  89.375])
    • lon
      (lon)
      float64
      0.9375 2.812 4.688 ... 357.2 359.1
      bounds :
      lon_bnds
      units :
      degrees_east
      axis :
      X
      long_name :
      Longitude
      standard_name :
      longitude
      array([  0.9375,   2.8125,   4.6875,   6.5625,   8.4375,  10.3125,  12.1875,\n",
      +       "        14.0625,  15.9375,  17.8125,  19.6875,  21.5625,  23.4375,  25.3125,\n",
      +       "        27.1875,  29.0625,  30.9375,  32.8125,  34.6875,  36.5625,  38.4375,\n",
      +       "        40.3125,  42.1875,  44.0625,  45.9375,  47.8125,  49.6875,  51.5625,\n",
      +       "        53.4375,  55.3125,  57.1875,  59.0625,  60.9375,  62.8125,  64.6875,\n",
      +       "        66.5625,  68.4375,  70.3125,  72.1875,  74.0625,  75.9375,  77.8125,\n",
      +       "        79.6875,  81.5625,  83.4375,  85.3125,  87.1875,  89.0625,  90.9375,\n",
      +       "        92.8125,  94.6875,  96.5625,  98.4375, 100.3125, 102.1875, 104.0625,\n",
      +       "       105.9375, 107.8125, 109.6875, 111.5625, 113.4375, 115.3125, 117.1875,\n",
      +       "       119.0625, 120.9375, 122.8125, 124.6875, 126.5625, 128.4375, 130.3125,\n",
      +       "       132.1875, 134.0625, 135.9375, 137.8125, 139.6875, 141.5625, 143.4375,\n",
      +       "       145.3125, 147.1875, 149.0625, 150.9375, 152.8125, 154.6875, 156.5625,\n",
      +       "       158.4375, 160.3125, 162.1875, 164.0625, 165.9375, 167.8125, 169.6875,\n",
      +       "       171.5625, 173.4375, 175.3125, 177.1875, 179.0625, 180.9375, 182.8125,\n",
      +       "       184.6875, 186.5625, 188.4375, 190.3125, 192.1875, 194.0625, 195.9375,\n",
      +       "       197.8125, 199.6875, 201.5625, 203.4375, 205.3125, 207.1875, 209.0625,\n",
      +       "       210.9375, 212.8125, 214.6875, 216.5625, 218.4375, 220.3125, 222.1875,\n",
      +       "       224.0625, 225.9375, 227.8125, 229.6875, 231.5625, 233.4375, 235.3125,\n",
      +       "       237.1875, 239.0625, 240.9375, 242.8125, 244.6875, 246.5625, 248.4375,\n",
      +       "       250.3125, 252.1875, 254.0625, 255.9375, 257.8125, 259.6875, 261.5625,\n",
      +       "       263.4375, 265.3125, 267.1875, 269.0625, 270.9375, 272.8125, 274.6875,\n",
      +       "       276.5625, 278.4375, 280.3125, 282.1875, 284.0625, 285.9375, 287.8125,\n",
      +       "       289.6875, 291.5625, 293.4375, 295.3125, 297.1875, 299.0625, 300.9375,\n",
      +       "       302.8125, 304.6875, 306.5625, 308.4375, 310.3125, 312.1875, 314.0625,\n",
      +       "       315.9375, 317.8125, 319.6875, 321.5625, 323.4375, 325.3125, 327.1875,\n",
      +       "       329.0625, 330.9375, 332.8125, 334.6875, 336.5625, 338.4375, 340.3125,\n",
      +       "       342.1875, 344.0625, 345.9375, 347.8125, 349.6875, 351.5625, 353.4375,\n",
      +       "       355.3125, 357.1875, 359.0625])
  • standard_name :
    precipitation_flux
    long_name :
    Precipitation
    comment :
    includes both liquid and solid phases
    units :
    kg m-2 s-1
    cell_methods :
    area: time: mean
    cell_measures :
    area: areacella
    history :
    2019-11-08T10:45:49Z altered by CMOR: replaced missing value flag (-1.07374e+09) with standard missing value (1e+20).
    _ChunkSizes :
    [ 1 144 192]
  • " ], "text/plain": [ - "\n", - "array([[[1.1679080e-07, 1.1679080e-07, 1.1679080e-07, ...,\n", - " 1.1679080e-07, 1.1679080e-07, 1.1679080e-07],\n", - " [5.6357038e-08, 5.6899808e-08, 5.7449537e-08, ...,\n", - " 5.4770052e-08, 5.5292201e-08, 5.5821182e-08],\n", - " [7.7667160e-08, 7.7346748e-08, 7.7024652e-08, ...,\n", - " 7.8618250e-08, 7.8302911e-08, 7.7985881e-08],\n", + "\n", + "array([[[1.6359276e-05, 1.1489548e-05, 1.1842003e-05, ...,\n", + " 2.6086314e-05, 2.8186410e-05, 1.7582113e-05],\n", + " [2.6601911e-05, 2.8185083e-05, 2.2405620e-05, ...,\n", + " 1.7252434e-05, 2.2461660e-05, 2.7394799e-05],\n", + " [8.8953284e-06, 1.6366070e-05, 2.8468858e-05, ...,\n", + " 2.3836124e-06, 2.5670124e-06, 4.2845654e-06],\n", " ...,\n", - " [7.0853553e-06, 7.2527428e-06, 7.4210134e-06, ...,\n", - " 6.5884897e-06, 6.7532287e-06, 6.9188504e-06],\n", - " [2.2063125e-05, 2.2134822e-05, 2.2207438e-05, ...,\n", - " 2.1853495e-05, 2.1922468e-05, 2.1992342e-05],\n", - " [3.0045994e-05, 3.0045994e-05, 3.0045994e-05, ...,\n", - " 3.0045994e-05, 3.0045994e-05, 3.0045994e-05]]], dtype=float32)\n", + " [1.6479444e-06, 1.4545669e-06, 1.0920535e-06, ...,\n", + " 1.7799719e-06, 1.7468499e-06, 1.7031343e-06],\n", + " [3.6177703e-08, 3.3514027e-08, 2.8007335e-08, ...,\n", + " 2.8953947e-08, 3.2579656e-08, 3.5454985e-08],\n", + " [4.3186881e-09, 4.3916062e-09, 4.4698378e-09, ...,\n", + " 4.2707637e-09, 4.2820667e-09, 4.2873936e-09]]], dtype=float32)\n", "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 -85.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00\n", + " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", + " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", "Attributes:\n", + " standard_name: precipitation_flux\n", " long_name: Precipitation\n", + " comment: includes both liquid and solid phases\n", " units: kg m-2 s-1\n", " cell_methods: area: time: mean\n", " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1686,15 +1694,17 @@ }, { "cell_type": "code", - "execution_count": 7, - "metadata": {}, + "execution_count": 8, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 37.4 s, sys: 3.65 s, total: 41 s\n", - "Wall time: 42.3 s\n" + "CPU times: user 77.6 ms, sys: 20.6 ms, total: 98.1 ms\n", + "Wall time: 33.7 s\n" ] }, { @@ -2050,47 +2060,47 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    +       "
    <xarray.DataArray 'pr' (time: 31411)>\n",
    +       "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n",
    +       "       1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n",
            "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    +       "  * time     (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
    +       "    lat      float64 0.625\n",
    +       "    lon      float64 180.9\n",
            "Attributes:\n",
    +       "    standard_name:  precipitation_flux\n",
            "    long_name:      Precipitation\n",
    +       "    comment:        includes both liquid and solid phases\n",
            "    units:          kg m-2 s-1\n",
            "    cell_methods:   area: time: mean\n",
            "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]
    " ], "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", + "\n", + "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n", + " 1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n", "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " lat float64 0.625\n", + " lon float64 180.9\n", "Attributes:\n", + " standard_name: precipitation_flux\n", " long_name: Precipitation\n", + " comment: includes both liquid and solid phases\n", " units: kg m-2 s-1\n", " cell_methods: area: time: mean\n", " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]" ] }, - "execution_count": 7, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -2106,7 +2116,7 @@ "source": [ "### The same volume of data can take orders of magnitude longer to load\n", "\n", - "The spatial dataset contained 51840 data-points and took in the order of 100ms to load. The time-series dataset had 31390 data-points and took about 10,000 ms to load.\n", + "The spatial dataset contained 27648 data-points and took in the order of 100ms to load. The time-series dataset had 31411 data-points and took order 10,000 ms to load.\n", "\n", "
    \n", "NOTE: If you look at the dashboard, the task stream actually shows that the most time consuming part is data concatenation. \n", @@ -2121,12 +2131,12 @@ "source": [ "### NetCDF file Chunks versus Dask Chunks\n", "\n", - "Keep in mind, Dask chunking is different to chunking of the stored data. As we saw in our example, the stored data was chunked with chunks of size (1,180,288) whereas the Dask array had a chunk size of (7300, 180, 288). It's possible to change the chunking size in the Dask array. In the example below, we are specifying that there are 730 chunks in time." + "Keep in mind, Dask chunking is different to chunking of the stored data. As we saw in our example, the stored data was chunked with chunks of size (1,144,192) whereas the Dask array had a chunk size of (18263, 144, 192). It's possible to change the chunking size in the Dask array. In the example below, we are specifying that there are 730 chunks in time." ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -2483,86 +2493,114 @@ " fill: currentColor;\n", "}\n", "
    <xarray.Dataset>\n",
    -       "Dimensions:    (bnds: 2, lat: 180, lon: 288, time: 31390)\n",
    +       "Dimensions:    (bnds: 2, lat: 144, lon: 192, time: 31411)\n",
            "Coordinates:\n",
    -       "  * lat        (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n",
    -       "  * lon        (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n",
    -       "  * time       (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    +       "  * time       (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
    +       "  * lat        (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
    +       "  * lon        (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n",
            "Dimensions without coordinates: bnds\n",
            "Data variables:\n",
    -       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(7300, 180, 2), meta=np.ndarray>\n",
    -       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(7300, 288, 2), meta=np.ndarray>\n",
    -       "    pr         (time, lat, lon) float32 dask.array<chunksize=(730, 180, 288), meta=np.ndarray>\n",
    -       "    time_bnds  (time, bnds) object dask.array<chunksize=(730, 2), meta=np.ndarray>\n",
    +       "    time_bnds  (time, bnds) datetime64[ns] dask.array<chunksize=(730, 2), meta=np.ndarray>\n",
    +       "    lat_bnds   (time, lat, bnds) float64 dask.array<chunksize=(18263, 144, 2), meta=np.ndarray>\n",
    +       "    lon_bnds   (time, lon, bnds) float64 dask.array<chunksize=(18263, 192, 2), meta=np.ndarray>\n",
    +       "    pr         (time, lat, lon) float32 dask.array<chunksize=(730, 144, 192), meta=np.ndarray>\n",
            "Attributes:\n",
    -       "    external_variables:     areacella\n",
    -       "    history:                File was processed by fremetar (GFDL analog of CM...\n",
    -       "    table_id:               day\n",
    -       "    activity_id:            ScenarioMIP\n",
    -       "    branch_method:          standard\n",
    -       "    branch_time_in_child:   0.0\n",
    -       "    comment:                <null ref>\n",
    -       "    contact:                gfdl.climate.model.info@noaa.gov\n",
    -       "    Conventions:            CF-1.7 CMIP-6.0 UGRID-1.0\n",
    -       "    creation_date:          2019-03-18T15:13:56Z\n",
    -       "    data_specs_version:     01.00.27\n",
    -       "    experiment:             update of RCP8.5 based on SSP5\n",
    -       "    experiment_id:          ssp585\n",
    -       "    forcing_index:          1\n",
    -       "    frequency:              day\n",
    -       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n",
    -       "    grid:                   atmos data regridded from Cubed-sphere (c96) to 1...\n",
    -       "    grid_label:             gr1\n",
    -       "    initialization_index:   1\n",
    -       "    institution:            National Oceanic and Atmospheric Administration, ...\n",
    -       "    institution_id:         NOAA-GFDL\n",
    -       "    license:                CMIP6 model data produced by NOAA-GFDL is license...\n",
    -       "    mip_era:                CMIP6\n",
    -       "    nominal_resolution:     100 km\n",
    -       "    parent_activity_id:     CMIP\n",
    -       "    parent_experiment_id:   historical\n",
    -       "    parent_mip_era:         CMIP6\n",
    -       "    parent_source_id:       GFDL-CM4\n",
    -       "    parent_variant_label:   r1i1p1f1\n",
    -       "    physics_index:          1\n",
    -       "    product:                model-output\n",
    -       "    realization_index:      1\n",
    -       "    realm:                  atmos\n",
    -       "    source:                 GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n",
    -       "    source_id:              GFDL-CM4\n",
    -       "    source_type:            AOGCM\n",
    -       "    sub_experiment:         none\n",
    -       "    sub_experiment_id:      none\n",
    -       "    title:                  NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n",
    -       "    tracking_id:            hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n",
    -       "    variable_id:            pr\n",
    -       "    variant_info:           N/A\n",
    -       "    references:             see further_info_url attribute\n",
    -       "    variant_label:          r1i1p1f1\n",
    -       "    branch_time_in_parent:  60225.0\n",
    -       "    parent_time_units:      days since 1850-1-1
    " + "
  • Conventions :
    CF-1.7 CMIP-6.2
    activity_id :
    ScenarioMIP
    branch_method :
    standard
    branch_time_in_child :
    60265.0
    branch_time_in_parent :
    60265.0
    creation_date :
    2019-11-08T10:45:50Z
    data_specs_version :
    01.00.30
    experiment :
    update of RCP8.5 based on SSP5
    experiment_id :
    ssp585
    external_variables :
    areacella
    forcing_index :
    1
    frequency :
    day
    further_info_url :
    https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS.ACCESS-CM2.ssp585.none.r1i1p1f1
    grid :
    native atmosphere N96 grid (144x192 latxlon)
    grid_label :
    gn
    history :
    2019-11-08T10:45:50Z ; CMOR rewrote data to be consistent with CMIP6, CF-1.7 CMIP-6.2 and CF standards.
    initialization_index :
    1
    institution :
    CSIRO (Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria 3195, Australia), ARCCSS (Australian Research Council Centre of Excellence for Climate System Science)
    institution_id :
    CSIRO-ARCCSS
    mip_era :
    CMIP6
    nominal_resolution :
    250 km
    notes :
    Exp: CM2-ssp585; Local ID: bk786; Variable: pr (['fld_s05i216'])
    parent_activity_id :
    CMIP
    parent_experiment_id :
    historical
    parent_mip_era :
    CMIP6
    parent_source_id :
    ACCESS-CM2
    parent_time_units :
    days since 1850-01-01
    parent_variant_label :
    r1i1p1f1
    physics_index :
    1
    product :
    model-output
    realization_index :
    1
    realm :
    atmos
    run_variant :
    forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2, N2O, CH4, CFC11, CFC12, CFC113, HCFC22, HFC125, HFC134a)
    source :
    ACCESS-CM2 (2019): \n", + "aerosol: UKCA-GLOMAP-mode\n", + "atmos: MetUM-HadGEM3-GA7.1 (N96; 192 x 144 longitude/latitude; 85 levels; top level 85 km)\n", + "atmosChem: none\n", + "land: CABLE2.5\n", + "landIce: none\n", + "ocean: ACCESS-OM2 (GFDL-MOM5, tripolar primarily 1deg; 360 x 300 longitude/latitude; 50 levels; top grid cell 0-10 m)\n", + "ocnBgchem: none\n", + "seaIce: CICE5.1.2 (same grid as ocean)
    source_id :
    ACCESS-CM2
    source_type :
    AOGCM
    sub_experiment :
    none
    sub_experiment_id :
    none
    table_id :
    day
    table_info :
    Creation Date:(30 April 2019) MD5:e14f55f257cceafb2523e41244962371
    title :
    ACCESS-CM2 output prepared for CMIP6
    variable_id :
    pr
    variant_label :
    r1i1p1f1
    version :
    v20191108
    cmor_version :
    3.4.0
    _NCProperties :
    version=2,netcdf=4.6.2,hdf5=1.10.5
    tracking_id :
    hdl:21.14100/1cade23c-cf5e-4d0e-96f9-4128cd729af7
    license :
    CMIP6 model data produced by CSIRO is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (https://creativecommons.org/licenses/). Consult https://pcmdi.llnl.gov/CMIP6/TermsOfUse for terms of use governing CMIP6 output, including citation requirements and proper acknowledgment. Further information about this data, including some limitations, can be found via the further_info_url (recorded as a global attribute in this file). The data producers and data providers make no warranty, either express or implied, including, but not limited to, warranties of merchantability and fitness for a particular purpose. All liabilities arising from the supply of the information (including any liability arising in negligence) are excluded to the fullest extent permitted by law.
    DODS_EXTRA.Unlimited_Dimension :
    time
  • " ], "text/plain": [ "\n", - "Dimensions: (bnds: 2, lat: 180, lon: 288, time: 31390)\n", + "Dimensions: (bnds: 2, lat: 144, lon: 192, time: 31411)\n", "Coordinates:\n", - " * lat (lat) float64 -89.5 -88.5 -87.5 -86.5 ... 86.5 87.5 88.5 89.5\n", - " * lon (lon) float64 0.625 1.875 3.125 4.375 ... 355.6 356.9 358.1 359.4\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", + " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 355.3 357.2 359.1\n", "Dimensions without coordinates: bnds\n", "Data variables:\n", - " lat_bnds (time, lat, bnds) float64 dask.array\n", - " lon_bnds (time, lon, bnds) float64 dask.array\n", - " pr (time, lat, lon) float32 dask.array\n", - " time_bnds (time, bnds) object dask.array\n", + " time_bnds (time, bnds) datetime64[ns] dask.array\n", + " lat_bnds (time, lat, bnds) float64 dask.array\n", + " lon_bnds (time, lon, bnds) float64 dask.array\n", + " pr (time, lat, lon) float32 dask.array\n", "Attributes:\n", - " external_variables: areacella\n", - " history: File was processed by fremetar (GFDL analog of CM...\n", - " table_id: day\n", - " activity_id: ScenarioMIP\n", - " branch_method: standard\n", - " branch_time_in_child: 0.0\n", - " comment: \n", - " contact: gfdl.climate.model.info@noaa.gov\n", - " Conventions: CF-1.7 CMIP-6.0 UGRID-1.0\n", - " creation_date: 2019-03-18T15:13:56Z\n", - " data_specs_version: 01.00.27\n", - " experiment: update of RCP8.5 based on SSP5\n", - " experiment_id: ssp585\n", - " forcing_index: 1\n", - " frequency: day\n", - " further_info_url: https://furtherinfo.es-doc.org/CMIP6.NOAA-GFDL.GF...\n", - " grid: atmos data regridded from Cubed-sphere (c96) to 1...\n", - " grid_label: gr1\n", - " initialization_index: 1\n", - " institution: National Oceanic and Atmospheric Administration, ...\n", - " institution_id: NOAA-GFDL\n", - " license: CMIP6 model data produced by NOAA-GFDL is license...\n", - " mip_era: CMIP6\n", - " nominal_resolution: 100 km\n", - " parent_activity_id: CMIP\n", - " parent_experiment_id: historical\n", - " parent_mip_era: CMIP6\n", - " parent_source_id: GFDL-CM4\n", - " parent_variant_label: r1i1p1f1\n", - " physics_index: 1\n", - " product: model-output\n", - " realization_index: 1\n", - " realm: atmos\n", - " source: GFDL-CM4 (2018): \\naerosol: interactive\\natmos: G...\n", - " source_id: GFDL-CM4\n", - " source_type: AOGCM\n", - " sub_experiment: none\n", - " sub_experiment_id: none\n", - " title: NOAA GFDL GFDL-CM4 model output prepared for CMIP...\n", - " tracking_id: hdl:21.14100/ad8c930c-124f-4b82-98b2-98cc4236ba25\n", - " variable_id: pr\n", - " variant_info: N/A\n", - " references: see further_info_url attribute\n", - " variant_label: r1i1p1f1\n", - " branch_time_in_parent: 60225.0\n", - " parent_time_units: days since 1850-1-1" + " Conventions: CF-1.7 CMIP-6.2\n", + " activity_id: ScenarioMIP\n", + " branch_method: standard\n", + " branch_time_in_child: 60265.0\n", + " branch_time_in_parent: 60265.0\n", + " creation_date: 2019-11-08T10:45:50Z\n", + " data_specs_version: 01.00.30\n", + " experiment: update of RCP8.5 based on SSP5\n", + " experiment_id: ssp585\n", + " external_variables: areacella\n", + " forcing_index: 1\n", + " frequency: day\n", + " further_info_url: https://furtherinfo.es-doc.org/CMIP6.CSI...\n", + " grid: native atmosphere N96 grid (144x192 latx...\n", + " grid_label: gn\n", + " history: 2019-11-08T10:45:50Z ; CMOR rewrote data...\n", + " initialization_index: 1\n", + " institution: CSIRO (Commonwealth Scientific and Indus...\n", + " institution_id: CSIRO-ARCCSS\n", + " mip_era: CMIP6\n", + " nominal_resolution: 250 km\n", + " notes: Exp: CM2-ssp585; Local ID: bk786; Variab...\n", + " parent_activity_id: CMIP\n", + " parent_experiment_id: historical\n", + " parent_mip_era: CMIP6\n", + " parent_source_id: ACCESS-CM2\n", + " parent_time_units: days since 1850-01-01\n", + " parent_variant_label: r1i1p1f1\n", + " physics_index: 1\n", + " product: model-output\n", + " realization_index: 1\n", + " realm: atmos\n", + " run_variant: forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (G...\n", + " source: ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMA...\n", + " source_id: ACCESS-CM2\n", + " source_type: AOGCM\n", + " sub_experiment: none\n", + " sub_experiment_id: none\n", + " table_id: day\n", + " table_info: Creation Date:(30 April 2019) MD5:e14f55...\n", + " title: ACCESS-CM2 output prepared for CMIP6\n", + " variable_id: pr\n", + " variant_label: r1i1p1f1\n", + " version: v20191108\n", + " cmor_version: 3.4.0\n", + " _NCProperties: version=2,netcdf=4.6.2,hdf5=1.10.5\n", + " tracking_id: hdl:21.14100/1cade23c-cf5e-4d0e-96f9-412...\n", + " license: CMIP6 model data produced by CSIRO is li...\n", + " DODS_EXTRA.Unlimited_Dimension: time" ] }, - "execution_count": 8, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -3005,7 +3039,7 @@ "\n", "The rule of thumb for Dask chunks is that you should \"create arrays with a minimum chunksize of at least one million elements\": http://xarray.pydata.org/en/stable/dask.html#chunking-and-performance\n", "\n", - "NetCDF4 chunks are often a lot smaller than Dask array chunks. The minimum chunksize exists because if you have too many chunks, queuing of operations when parallelising will be slow. If the chunk sizes are too large, computation and memory can be wasted. The default chunks from dask gave us chunks of size (7300, 180, 288) or nearly 400 million elements so we could try reducing those chunks if needed. The larger the array, the larger the cost of queueing and therefore larger chunks may be needed.\n", + "NetCDF4 chunks are often a lot smaller than Dask array chunks. The minimum chunksize exists because if you have too many chunks, queuing of operations when parallelising will be slow. If the chunk sizes are too large, computation and memory can be wasted. The default chunks from dask gave us chunks of size (18263, 144, 192) or around 500 million elements so we could try reducing those chunks if needed. The larger the array, the larger the cost of queueing and therefore larger chunks may be needed.\n", "\n", "#### IMPORTANT: Whatever Dask array chunks you use, make sure they align with the netCDF4 file chunks!!\n", "\n", @@ -3018,16 +3052,16 @@ "source": [ "#### Exercise\n", "\n", - "Try to load the data in with chunks size `(31390,180,1)` (i.e. chunked in lon) and name that file `f_bad_chunk`. Next, try reloading the time series of pr at `lat=0` and `lon=180` and time how long this takes." + "Try to load the data in with chunks size `(31411,180,1)` (i.e. chunked in lon) and name that file `f_bad_chunk`. Next, try reloading the time series of pr at `lat=0` and `lon=180` and time how long this takes." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "f_bad_chunk = xr.open_mfdataset(path,chunks={'time':31390,'lat':180,'lon':1}, combine='by_coords')" + "f_bad_chunk = xr.open_mfdataset(path,chunks={'time':31411,'lat':180,'lon':1}, combine='by_coords')" ] }, { @@ -3043,9 +3077,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", "from dask.distributed import Client\n", @@ -3070,7 +3112,7 @@ "metadata": {}, "source": [ "
    \n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", + "Warning: Please make sure you specify the correct path to the scheduler.json file within your environment. \n", "
    " ] }, @@ -3083,15 +3125,17 @@ }, { "cell_type": "code", - "execution_count": 11, - "metadata": {}, + "execution_count": 13, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 38.1 s, sys: 3.18 s, total: 41.2 s\n", - "Wall time: 40.6 s\n" + "CPU times: user 3.03 s, sys: 597 ms, total: 3.63 s\n", + "Wall time: 34.1 s\n" ] }, { @@ -3447,47 +3491,47 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    +       "
    <xarray.DataArray 'pr' (time: 31411)>\n",
    +       "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n",
    +       "       1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n",
            "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    +       "  * time     (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
    +       "    lat      float64 0.625\n",
    +       "    lon      float64 180.9\n",
            "Attributes:\n",
    +       "    standard_name:  precipitation_flux\n",
            "    long_name:      Precipitation\n",
    +       "    comment:        includes both liquid and solid phases\n",
            "    units:          kg m-2 s-1\n",
            "    cell_methods:   area: time: mean\n",
            "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]
    " ], "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", + "\n", + "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n", + " 1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n", "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " lat float64 0.625\n", + " lon float64 180.9\n", "Attributes:\n", + " standard_name: precipitation_flux\n", " long_name: Precipitation\n", + " comment: includes both liquid and solid phases\n", " units: kg m-2 s-1\n", " cell_methods: area: time: mean\n", " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -3499,15 +3543,17 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, + "execution_count": 14, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 38.5 s, sys: 3.12 s, total: 41.7 s\n", - "Wall time: 40.9 s\n" + "CPU times: user 3.18 s, sys: 603 ms, total: 3.79 s\n", + "Wall time: 35.6 s\n" ] }, { @@ -3863,47 +3909,47 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    +       "
    <xarray.DataArray 'pr' (time: 31411)>\n",
    +       "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n",
    +       "       1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n",
            "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    +       "  * time     (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
    +       "    lat      float64 0.625\n",
    +       "    lon      float64 180.9\n",
            "Attributes:\n",
    +       "    standard_name:  precipitation_flux\n",
            "    long_name:      Precipitation\n",
    +       "    comment:        includes both liquid and solid phases\n",
            "    units:          kg m-2 s-1\n",
            "    cell_methods:   area: time: mean\n",
            "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]
    " ], "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", + "\n", + "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n", + " 1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n", "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " lat float64 0.625\n", + " lon float64 180.9\n", "Attributes:\n", + " standard_name: precipitation_flux\n", " long_name: Precipitation\n", + " comment: includes both liquid and solid phases\n", " units: kg m-2 s-1\n", " cell_methods: area: time: mean\n", " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -3915,15 +3961,17 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": {}, + "execution_count": 15, + "metadata": { + "scrolled": false + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 440 ms, sys: 247 ms, total: 687 ms\n", - "Wall time: 14.3 s\n" + "CPU times: user 2.22 s, sys: 588 ms, total: 2.81 s\n", + "Wall time: 24 s\n" ] }, { @@ -4279,47 +4327,47 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    +       "
    <xarray.DataArray 'pr' (time: 31411)>\n",
    +       "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n",
    +       "       1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n",
            "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    +       "  * time     (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n",
    +       "    lat      float64 0.625\n",
    +       "    lon      float64 180.9\n",
            "Attributes:\n",
    +       "    standard_name:  precipitation_flux\n",
            "    long_name:      Precipitation\n",
    +       "    comment:        includes both liquid and solid phases\n",
            "    units:          kg m-2 s-1\n",
            "    cell_methods:   area: time: mean\n",
            "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]
    " ], "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", + "\n", + "array([1.83213061e-07, 2.28843783e-06, 1.21034245e-05, ...,\n", + " 1.55756240e-07, 6.65439970e-08, 3.86067654e-07], dtype=float32)\n", "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", + " * time (time) datetime64[ns] 2015-01-01T12:00:00 ... 2100-12-31T12:00:00\n", + " lat float64 0.625\n", + " lon float64 180.9\n", "Attributes:\n", + " standard_name: precipitation_flux\n", " long_name: Precipitation\n", + " comment: includes both liquid and solid phases\n", " units: kg m-2 s-1\n", " cell_methods: area: time: mean\n", " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" + " history: 2019-11-08T10:45:49Z altered by CMOR: replaced missing va...\n", + " _ChunkSizes: [ 1 144 192]" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -4333,1268 +4381,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Let's switch the scheduler to `threaded scheduler`:" + "### Poor chunking with dask can make your performance worse!\n", + "\n", + "As you can see, bad chunks and the alignment of the chunks slow down the I/O performance significantly. They are both important to keep in mind when creating Dask chunks. " ] }, { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 38.7 s, sys: 2.52 s, total: 41.3 s\n", - "Wall time: 40.9 s\n" - ] - }, - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    -       "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    -       "Attributes:\n",
    -       "    long_name:      Precipitation\n",
    -       "    units:          kg m-2 s-1\n",
    -       "    cell_methods:   area: time: mean\n",
    -       "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='synchronous')" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 39.1 s, sys: 3.04 s, total: 42.1 s\n", - "Wall time: 41.6 s\n" - ] - }, - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    -       "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    -       "Attributes:\n",
    -       "    long_name:      Precipitation\n",
    -       "    units:          kg m-2 s-1\n",
    -       "    cell_methods:   area: time: mean\n",
    -       "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='threads')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 458 ms, sys: 184 ms, total: 643 ms\n", - "Wall time: 13.7 s\n" - ] - }, - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "
    <xarray.DataArray 'pr' (time: 31390)>\n",
    -       "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n",
    -       "       1.6186357e-05, 1.5706388e-05], dtype=float32)\n",
    -       "Coordinates:\n",
    -       "    lat      float64 0.5\n",
    -       "    lon      float64 180.6\n",
    -       "  * time     (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n",
    -       "Attributes:\n",
    -       "    long_name:      Precipitation\n",
    -       "    units:          kg m-2 s-1\n",
    -       "    cell_methods:   area: time: mean\n",
    -       "    cell_measures:  area: areacella\n",
    -       "    standard_name:  precipitation_flux\n",
    -       "    interp_method:  conserve_order1\n",
    -       "    original_name:  pr
    " - ], - "text/plain": [ - "\n", - "array([2.1776618e-06, 9.6000194e-06, 5.3295435e-06, ..., 7.7904500e-05,\n", - " 1.6186357e-05, 1.5706388e-05], dtype=float32)\n", - "Coordinates:\n", - " lat float64 0.5\n", - " lon float64 180.6\n", - " * time (time) object 2015-01-01 12:00:00 ... 2100-12-31 12:00:00\n", - "Attributes:\n", - " long_name: Precipitation\n", - " units: kg m-2 s-1\n", - " cell_methods: area: time: mean\n", - " cell_measures: area: areacella\n", - " standard_name: precipitation_flux\n", - " interp_method: conserve_order1\n", - " original_name: pr" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "f_ssp585.pr.sel(lat=0,lon=180,method='nearest').load(scheduler='processes')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Poor chunking with dask can make your performance worse!\n", - "\n", - "As you can see, bad chunks and the alignment of the chunks slow down the I/O performance significantly. They are both important to keep in mind when creating Dask chunks. " - ] - }, - { - "cell_type": "markdown", + "cell_type": "markdown", "metadata": {}, "source": [ "### Close the client\n", @@ -5604,7 +4397,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -5640,9 +4433,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.7.8" } }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/.ipynb_checkpoints/Dask_03_fundermentals_Delayed-checkpoint.ipynb b/Dask_03_fundamentals_Delayed.ipynb old mode 100755 new mode 100644 similarity index 100% rename from .ipynb_checkpoints/Dask_03_fundermentals_Delayed-checkpoint.ipynb rename to Dask_03_fundamentals_Delayed.ipynb diff --git a/Dask_03_fundermentals_Delayed.ipynb b/Dask_03_fundermentals_Delayed.ipynb deleted file mode 100755 index 100239d..0000000 --- a/Dask_03_fundermentals_Delayed.ipynb +++ /dev/null @@ -1,708 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Parallelize code with `dask.delayed`\n", - "\n", - "In this section we parallelize simple for-loop style code with Dask and `dask.delayed`.\n", - "\n", - "* Basics\n", - "* Parallelize with the dask.delayed decorator\n", - "* Dask delayed annotation\n", - "* Parallelize a for loop\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Xarray, Dask, Diagnostics\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask-tutorial](https://github.com/dask/dask-tutorial).\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Set up\n", - "\n", - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Basics\n", - "\n", - "Let's make some toy functions, `inc` and `add`, that sleep for a while to simulate work. We'll then time running these functions normally and in the following section we'll parallelize these functions." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "from time import sleep\n", - "\n", - "def inc(x):\n", - " sleep(1)\n", - " return x + 1\n", - "\n", - "def add(x, y):\n", - " sleep(1)\n", - " return x + y" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 286 ms, sys: 33.6 ms, total: 320 ms\n", - "Wall time: 3.01 s\n" - ] - }, - { - "data": { - "text/plain": [ - "5" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "# This takes three seconds to run because we call each function sequentially, one after the other.\n", - "\n", - "x = inc(1)\n", - "y = inc(2)\n", - "z = add(x, y)\n", - "z" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Parallelize with the `dask.delayed` decorator\n", - "\n", - "Those two increment calls *could* be called *in parallel*.\n", - "\n", - "We'll wrap the `inc` and `add` functions in the `dask.delayed` decorator. When we call the delayed version by passing the arguments, the original function isn't actually called yet.\n", - "Instead, a *task graph* is built up, representing the *delayed* function call." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "from dask import delayed" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 859 µs, sys: 0 ns, total: 859 µs\n", - "Wall time: 848 µs\n" - ] - }, - { - "data": { - "text/plain": [ - "Delayed('add-aa3c829e-ea83-4439-9791-5c902ed3fe20')" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "# This runs immediately, all it does is build a graph\n", - "\n", - "x = delayed(inc)(1)\n", - "y = delayed(inc)(2)\n", - "z = delayed(add)(x, y)\n", - "z" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "This ran immediately, since nothing has really happened yet (i.e, variable `z` does not return any value but rather returns a delayed object).\n", - "\n", - "To get the result, call `compute()`." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 367 ms, sys: 42.3 ms, total: 409 ms\n", - "Wall time: 2.22 s\n" - ] - }, - { - "data": { - "text/plain": [ - "5" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "# This actually runs our computation using a local thread pool\n", - "\n", - "z.compute()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## What just happened?\n", - "\n", - "The `z` object is a lazy `Delayed` object. This object holds everything we need to compute the final result. We can compute the result with `.compute()` as above or we can visualize the task graph for this value with `.visualize()`." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Delayed('add-aa3c829e-ea83-4439-9791-5c902ed3fe20')" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "z" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Look at the task graph for `z`\n", - "z.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can visualize the chain of calculations that the object `total` corresponds to as follows: the circles are functions, rectangles are data/results." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Dask Delayed annotation\n", - "\n", - "Dask allows you to construct a prescription for the calculation you want to carry out. This is an alternative way to utilize dask.delayed functions. You can achieve this while programming with perfectly ordinary Python functions and for-loops." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "from dask import delayed\n", - "\n", - "@delayed\n", - "def inc(x):\n", - " return x + 1\n", - "\n", - "@delayed\n", - "def add(x, y):\n", - " return x + y" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Instead of using the `dask.delayed` function (i.e., `delayed(inc)`) as in the previous session, here we use the delayed annotation to show that we want these functions to operate lazily which will save the set of inputs and execute only on demand. " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "# this looks like ordinary code\n", - "x = inc(15)\n", - "y = inc(30)\n", - "total = add(x, y)\n", - "# x, y and total are all delayed objects. \n", - "# They contain a prescription of how to execute" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calling a delayed function created a delayed object (`x, y, total`). Making these objects is somewhat equivalent to constructs like the `lambda` or function wrappers (see below). Each holds a simple dictionary describing the task graph and a full specification of how to carry out the computation." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Why should you care about this?**\n", - "\n", - "By building a specification of the calculation we want to carry out before executing anything, we can pass the specification to an *execution engine* for evaluation. In the case of Dask, this execution engine could be running on many nodes of a cluster, so you have access to the full number of CPU cores and memory across all the machines. Dask will intelligently execute your calculation with care for minimizing the amount of data held in memory, while parallelizing over the tasks that make up a graph. Notice that in the animated diagram below, where four workers are processing the (simple) graph, execution progresses vertically up the branches first, so that intermediate results can be expunged before moving onto a new branch.\n", - "\n", - "With `delayed` and normal Pythonic looped code, very complex graphs can be built up and passed on to Dask for execution. See a nice example of the [simulated complex ETL](https://blog.dask.org/2017/01/24/dask-custom) work flow.\n", - "\n", - "![this](images/grid_search_schedule.gif)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Some questions to consider:\n", - "\n", - "- Why did we go from 3s to 2s? Why weren't we able to parallelize down to 1s?\n", - "- What would have happened if the inc and add functions didn't include `sleep(1)`? Would Dask still be able to speed up this code?" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercise: Parallelize a for loop\n", - "\n", - "`for` loops are one of the most common things that we want to parallelize. Use `dask.delayed` on `inc` and `sum` to parallelize the computation below:" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "data = [1, 2, 3, 4, 5, 6, 7, 8]" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 1.44 ms, sys: 0 ns, total: 1.44 ms\n", - "Wall time: 1.37 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "# Sequential code\n", - "\n", - "results = []\n", - "for x in data:\n", - " y = inc(x)\n", - " results.append(y)\n", - " \n", - "total = sum(results)" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Delayed('add-6cbddf76af3faa573e350f9b09840fea')" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Before computing: Delayed('sum-abb0952a-3671-4412-9a8d-589a44637e28')\n", - "After computing : 44\n", - "CPU times: user 31.2 ms, sys: 6.51 ms, total: 37.7 ms\n", - "Wall time: 51.6 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "results = []\n", - "\n", - "for x in data:\n", - " y = delayed(inc)(x)\n", - " results.append(y)\n", - " \n", - "total = delayed(sum)(results)\n", - "print(\"Before computing:\", total) # Let's see what type of thing total is\n", - "result = total.compute()\n", - "print(\"After computing :\", result) # After it's computed" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Exercise: Parallelizing a for-loop code with control flow\n", - "\n", - "Often we want to delay only *some* functions, running a few of them immediately. This is especially helpful when those functions are fast and help us to determine what other slower functions we should call. This decision to delay or not to delay requires careful thought when using `dask.delayed`.\n", - "\n", - "In the example below we iterate through a list of inputs. If that input is even then we want to call `inc`. If the input is odd then we want to call `double`. This `is_even` decision to call `inc` or `double` has to be made immediately (not lazily) in order for our graph-building Python code to proceed." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "def double(x):\n", - " sleep(1)\n", - " return 2 * x\n", - "\n", - "def is_even(x):\n", - " return not x % 2\n", - "\n", - "data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Delayed('add-a61ea5adfd2f9a53c2062fe4d7dcdacc')\n", - "CPU times: user 530 ms, sys: 62.3 ms, total: 592 ms\n", - "Wall time: 5.01 s\n" - ] - } - ], - "source": [ - "%%time\n", - "# Sequential code\n", - "\n", - "results = []\n", - "for x in data:\n", - " if is_even(x):\n", - " y = double(x)\n", - " else:\n", - " y = inc(x)\n", - " results.append(y)\n", - " \n", - "total = sum(results)\n", - "print(total)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 776 µs, sys: 624 µs, total: 1.4 ms\n", - "Wall time: 1.43 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "# lazy version\n", - "\n", - "results = []\n", - "for x in data:\n", - " if is_even(x): # even\n", - " y = delayed(double)(x)\n", - " else: # odd\n", - " y = delayed(inc)(x)\n", - " results.append(y)\n", - " \n", - "total = delayed(sum)(results)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 123 ms, sys: 12.5 ms, total: 135 ms\n", - "Wall time: 1.05 s\n" - ] - }, - { - "data": { - "text/plain": [ - "90" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%time total.compute()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": "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\n", - "text/plain": [ - "" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "total.visualize()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Some questions to consider:\n", - "\n", - "- What are other examples of control flow where we can't use `dask.delayed`?\n", - "- What would have happened if we had delayed the evaluation of `is_even(x)` in the example above?\n", - "- What are your thoughts on delaying `sum`? This function is both computational but also fast to run." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "**Notes**\n", - "\n", - "Delayed objects support various operations:\n", - "```python\n", - " x2 = x + 1\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "If `x` was a delayed result (like `total`, above), then so is `x2`. Supported operations include arithmetic operators, item or slice selection, attribute access and method calls - essentially anything that could be phrased as a `lambda` expression.\n", - "\n", - "Operations which are *not* supported include mutation, setter methods, iteration (for) and bool (predicate)." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example shows some basic concepts of dask delayed functions and how to parallelize the for-loop using `dask.delayed`." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "https://docs.dask.org/en/latest/delayed.html" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/.ipynb_checkpoints/Dask_04_delayed_pandas_palioceanography-checkpoint.ipynb b/Dask_04_delayed_pandas_paleoceanography.ipynb old mode 100755 new mode 100644 similarity index 100% rename from .ipynb_checkpoints/Dask_04_delayed_pandas_palioceanography-checkpoint.ipynb rename to Dask_04_delayed_pandas_paleoceanography.ipynb diff --git a/Dask_04_delayed_pandas_palioceanography.ipynb b/Dask_04_delayed_pandas_palioceanography.ipynb deleted file mode 100755 index 6513914..0000000 --- a/Dask_04_delayed_pandas_palioceanography.ipynb +++ /dev/null @@ -1,865 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Parallelize code with Dask Delayed" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook we demonstrate:\n", - "\n", - "* A few words about Panda\n", - "* Reading CSV files using Delayed\n", - "* A reading data example\n", - "* Sequential code: Mean CO3 Per Core\n", - "* Parallelize the sequential code using Dask delayed\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Delayed, Pandas, DataFrame\n", - "- Create Date: 2020-April\n", - "---" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### A few words about Pandas\n", - "\n", - "Pandas is a an open source library providing high-performance, easy-to-use data structures and data analysis tools. Pandas is particularly suited to the analysis of tabular data, i.e. data that can can go into a table. In other words, if you can imagine the data in an Excel spreadsheet, then Pandas is the tool for the job.\n", - "\n", - "Pandas are tools for reading and writing data between in-memory data structures and different formats: CSV and text files, Microsoft Excel, SQL databases, and the fast HDF5 format.\n", - "\n", - "Python with Pandas is in use in a wide variety of academic and commercial domains, including finance, neuroscience, economics, statistics, advertising, web analytics, and more." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Choose from the following two options to create a client:" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/dask/2.19.0-py3.7/lib/python3.7/site-packages/distributed/node.py:155: UserWarning: Port 8787 is already in use.\n", - "Perhaps you already have a cluster running?\n", - "Hosting the HTTP server on port 39867 instead\n", - " http_address[\"port\"], self.http_server.port\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/apps/pangeo/2020.05/lib/python3.7/site-packages/distributed/client.py:1079: VersionMismatchWarning: Mismatched versions found\n", - "\n", - "numpy\n", - "+------------------------+---------+\n", - "| | version |\n", - "+------------------------+---------+\n", - "| client | 1.19.2 |\n", - "| scheduler | 1.19.2 |\n", - "| tcp://10.6.66.20:34463 | 1.17.2 |\n", - "| tcp://10.6.66.20:34919 | 1.17.2 |\n", - "| tcp://10.6.66.20:35351 | 1.17.2 |\n", - "| tcp://10.6.66.20:36561 | 1.17.2 |\n", - "| tcp://10.6.66.20:36677 | 1.17.2 |\n", - "| tcp://10.6.66.20:36767 | 1.17.2 |\n", - "| tcp://10.6.66.20:38087 | 1.17.2 |\n", - "| tcp://10.6.66.20:38475 | 1.17.2 |\n", - "| tcp://10.6.66.20:39029 | 1.17.2 |\n", - "| tcp://10.6.66.20:39097 | 1.17.2 |\n", - "| tcp://10.6.66.20:39109 | 1.17.2 |\n", - "| tcp://10.6.66.20:39145 | 1.17.2 |\n", - "| tcp://10.6.66.20:39273 | 1.17.2 |\n", - "| tcp://10.6.66.20:39321 | 1.17.2 |\n", - "| tcp://10.6.66.20:40113 | 1.17.2 |\n", - "| tcp://10.6.66.20:40491 | 1.17.2 |\n", - "| tcp://10.6.66.20:42587 | 1.17.2 |\n", - "| tcp://10.6.66.20:43569 | 1.17.2 |\n", - "| tcp://10.6.66.20:43991 | 1.17.2 |\n", - "| tcp://10.6.66.20:44299 | 1.17.2 |\n", - "| tcp://10.6.66.20:44535 | 1.17.2 |\n", - "| tcp://10.6.66.20:44859 | 1.17.2 |\n", - "| tcp://10.6.66.20:46179 | 1.17.2 |\n", - "| tcp://10.6.66.20:46449 | 1.17.2 |\n", - "+------------------------+---------+\n", - " warnings.warn(version_module.VersionMismatchWarning(msg[0][\"warning\"]))\n" - ] - } - ], - "source": [ - "# If you run this notebook on Gadi under pangeo environment, you can create cluster using scheduler.json file\n", - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    \n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
    " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    \n", - "NOTE: If you run this notebook on your local computer, make sure that your local computer has multiple cores. Otherwise, your parallel code won't perform any better than sequencial code! \n", - "
    " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Scale up csv file reading using `delayed` \n", - "\n", - "We will apply `delayed` to a real data processing task, albeit a simple one.\n", - "\n", - "Consider reading three CSV files (found in `/g/data/dk92/notebooks/demo_data/CSV`) with `pd.read_csv` and then measuring their total length. We will consider how you would do this with ordinary Python code, then build a graph for this process using delayed, and finally execute this graph using Dask. The Dask execution provides a handy speed-up factor of more than two (there are only three inputs to parallelize over)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/g/data/dk92/notebooks/demo_data/CSV/csvfile1.csv',\n", - " '/g/data/dk92/notebooks/demo_data/CSV/csvfile2.csv',\n", - " '/g/data/dk92/notebooks/demo_data/CSV/csvfile3.csv']" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "import os\n", - "from glob import glob\n", - "from dask import delayed\n", - "import numpy\n", - "\n", - "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/CSV/*.csv'))\n", - "filenames" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "27\n", - "CPU times: user 14.2 ms, sys: 4.06 ms, total: 18.3 ms\n", - "Wall time: 65 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "\n", - "# normal, sequential code\n", - "a = pd.read_csv(filenames[0])\n", - "b = pd.read_csv(filenames[1])\n", - "c = pd.read_csv(filenames[2])\n", - "\n", - "na = len(a)\n", - "nb = len(b)\n", - "nc = len(c)\n", - "\n", - "total = sum([na, nb, nc])\n", - "print(total)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Your task is to recreate this graph using the `delayed` function on the original Python code. The three functions you want to delay are `pd.read_csv`, `len` and `sum`. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 558 µs, sys: 1.01 ms, total: 1.57 ms\n", - "Wall time: 1.55 ms\n" - ] - }, - { - "data": { - "text/plain": [ - "Delayed('sum-985d05c7-b3bb-455a-9dba-7bba89b4e6f9')" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "%%time\n", - "\n", - "# delayed, sequential code\n", - "delayed_read_csv = delayed(pd.read_csv)\n", - "a = delayed_read_csv(filenames[0])\n", - "b = delayed_read_csv(filenames[1])\n", - "c = delayed_read_csv(filenames[2])\n", - "\n", - "delayed_len = delayed(len)\n", - "na = delayed_len(a)\n", - "nb = delayed_len(b)\n", - "nc = delayed_len(c)\n", - "\n", - "delayed_sum = delayed(sum)\n", - "\n", - "total = delayed_sum([na, nb, nc])\n", - "total" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "27\n", - "CPU times: user 48.5 ms, sys: 12.7 ms, total: 61.2 ms\n", - "Wall time: 514 ms\n" - ] - } - ], - "source": [ - "%time print(total.compute())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, repeat this using loops rather than writing out all the variables." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "27\n", - "CPU times: user 20.7 ms, sys: 5.71 ms, total: 26.4 ms\n", - "Wall time: 46.9 ms\n" - ] - } - ], - "source": [ - "# concise version\n", - "csvs = [delayed(pd.read_csv)(fn) for fn in filenames]\n", - "lens = [delayed(len)(csv) for csv in csvs]\n", - "total = delayed(sum)(lens)\n", - "%time print(total.compute())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Real example\n", - "\n", - "### Inspect Data\n", - "\n", - "We will use the supplementary data of the paper **Sequestration of carbon in the deep Atlantic during the last glaciation** by Yu *et al.* published in Nature Geoscience, 2016, doi:10.1038/ngeo2657.\n", - "\n", - "I downloaded the data and reorganized it into several CSV files saved under `/g/data/dk92/notebooks/demo_data/Nature_geo_csv`. This dataset includes lab measurement of pH (i.e., CO$_{3}$ $\\mu$mol/kg), Oxygen isotopes, Carbon isotopes, and CaCO$_{3}$ in sediments at different depths of the Ocean Deep Drilling (ODD) cores in the Atlantic Ocean. The name convention for those files are coreID-measurements.csv." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['.DS_Store',\n", - " 'EW9209-2JPC-PH.csv',\n", - " 'MD01-2446-O-C.csv',\n", - " 'MD01-2446-PH.csv',\n", - " 'MD95-2039-CaCO3.csv',\n", - " 'MD95-2039-O-C.csv',\n", - " 'MD95-2039-PH.csv',\n", - " 'RC13-228-O-C.csv',\n", - " 'RC13-228-PH.csv',\n", - " 'RC13-229-O-C.csv',\n", - " 'RC13-229-PH.csv',\n", - " 'RC16-59-PH.csv',\n", - " 'TNO57-21-PH.csv']" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import os\n", - "sorted(os.listdir('/g/data/dk92/notebooks/demo_data/Nature_geo_csv'))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Read one file with pandas.read_csv and compute the mean pH value of a core.\n", - "\n", - "We can use `Pandas.read_csv( )` to access the csv files." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    topbtmmidageCw B/CaCO3
    0815816815.551.9123.483.3
    1853854853.554.6128.888.0
    2916917916.560.7114.075.0
    3925926925.561.4113.374.5
    4936937936.562.3111.372.7
    \n", - "
    " - ], - "text/plain": [ - " top btm mid age Cw B/Ca CO3\n", - "0 815 816 815.5 51.9 123.4 83.3\n", - "1 853 854 853.5 54.6 128.8 88.0\n", - "2 916 917 916.5 60.7 114.0 75.0\n", - "3 925 926 925.5 61.4 113.3 74.5\n", - "4 936 937 936.5 62.3 111.3 72.7" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "# skip the first two lines\n", - "# line1: core name\n", - "# line2: units of the measurement in each column\n", - "df = pd.read_csv(\"/g/data/dk92/notebooks/demo_data/Nature_geo_csv/TNO57-21-PH.csv\",skiprows=2)\n", - "df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "top int64\n", - "btm int64\n", - "mid float64\n", - "age float64\n", - "Cw B/Ca float64\n", - "CO3 float64\n", - "dtype: object" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# What is the schema?\n", - "df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "top 1092.583333\n", - "btm 1093.604167\n", - "mid 1093.093750\n", - "age 73.637500\n", - "Cw B/Ca 125.895833\n", - "CO3 85.506250\n", - "dtype: float64" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Get the mean value of each column\n", - "df.mean()" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "48" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# We can get a single column as a Series using Python's getitem syntax on the DataFrame object.\n", - "df['CO3']\n", - "\n", - "# or specify one column to get the mean of that data series only\n", - "df.CO3.mean()\n", - "\n", - "# Find the number of data points\n", - "import numpy as np\n", - "np.size(df['CO3'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Sequential code: Mean CO$_{3}$ Per Core\n", - "\n", - "The above cell computes the mean departure delay per-airport for one year. Here we expand that to all years using a sequential for loop." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "['/g/data/dk92/notebooks/demo_data/Nature_geo_csv/EW9209-2JPC-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/MD01-2446-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/MD95-2039-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/RC13-228-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/RC13-229-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/RC16-59-PH.csv',\n", - " '/g/data/dk92/notebooks/demo_data/Nature_geo_csv/TNO57-21-PH.csv']" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from glob import glob\n", - "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/Nature_geo_csv/*-PH.csv'))\n", - "filenames" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 55.8 ms, sys: 2.06 ms, total: 57.9 ms\n", - "Wall time: 151 ms\n" - ] - } - ], - "source": [ - "%%time\n", - "means = []\n", - "counts = []\n", - "for fn in filenames:\n", - " # Read in file\n", - " df = pd.read_csv(fn,skiprows=2)\n", - " \n", - " # Get the mean CO3 for each core\n", - " mean_CO3_each = df.CO3.mean()\n", - "\n", - " # Count how many data points in each core\n", - " count = np.size(df['CO3'])\n", - "\n", - " # Save the intermediates\n", - " means.append(mean_CO3_each)\n", - " counts.append(count)\n", - "\n", - "# Combine intermediates to get total mean-delay-per-origin\n", - "mean_CO3 = np.mean(means)\n", - "n_dpoints = sum(counts)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[92.66666666666667,\n", - " 97.8157894736842,\n", - " 106.03571428571429,\n", - " 90.16,\n", - " 80.31818181818181,\n", - " 94.51515151515152,\n", - " 85.50625000000002]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "means" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "263" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mean_CO3\n", - "n_dpoints" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Parallelize the code above\n", - "\n", - "Use `dask.delayed` to parallelize the code above. \n", - "\n", - "Note that methods and attribute access on delayed objects work automatically, so if you have a delayed object you can perform normal arithmetic, slicing, and method calls on it and it will produce the correct delayed calls.\n", - "\n", - "```\n", - "x = delayed(np.arange)(10)\n", - "y = (x + 1)[::2].sum() # everything here was delayed\n", - "```\n", - "\n", - "Calling the `.compute()` method works well when you have a single output. When you have multiple outputs you might want to use the `dask.compute` function:\n", - "\n", - "```\n", - "x = delayed(np.arange)(10)\n", - "y = x ** 2\n", - "min_, max_ = compute(y.min(), y.max())\n", - "min_, max_\n", - "(0, 81)\n", - "```\n", - "This way Dask can share the intermediate values (like `y = x**2`).\n", - "Your goal is to parallelize the code above (which has been copied below) using `dask.delayed`. You may also want to visualize some of the computation to see if you’re performing it correctly. This is just one way of using `delayed` - there are several other ways to use this." - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "from dask import compute\n", - "from dask import delayed" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "CPU times: user 171 ms, sys: 34.1 ms, total: 206 ms\n", - "Wall time: 1.16 s\n" - ] - } - ], - "source": [ - "%%time\n", - "\n", - "means = []\n", - "counts = []\n", - "for fn in filenames:\n", - " # Read in file\n", - " df = delayed(pd.read_csv)(fn,skiprows=2)\n", - " \n", - " # Get the mean CO3 for each core\n", - " mean_CO3_each = df.CO3.mean()\n", - "\n", - " # Count how many data points in each core\n", - " count = np.size(df['CO3'])\n", - "\n", - " # Save the intermediates\n", - " means.append(mean_CO3_each)\n", - " counts.append(count)\n", - "\n", - "# Compute the intermediates\n", - "means, counts = compute(means, counts)\n", - "\n", - "# Combine intermediates to get total mean-delay-per-origin\n", - "#mean_CO31 = np.mean(means1)\n", - "#n_dpoints = sum(counts1)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "92.43110767991409" - ] - }, - "execution_count": 19, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "mean_CO3" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Close the client\n", - "\n", - "Before moving on to the next exercise, make sure to close your client or stop this kernel." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [], - "source": [ - "client.close()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Summary\n", - "\n", - "This example shows how Pandas work with multiple tabular datasets efficiently using the Dask `delayed` feature." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Reference\n", - "\n", - "https://tutorial.dask.org" - ] - } - ], - "metadata": { - "anaconda-cloud": {}, - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.4" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} diff --git a/Dask_05_dataframes_ACTweather.ipynb b/Dask_05_dataframes_ACTweather.ipynb index 7883846..247211e 100755 --- a/Dask_05_dataframes_ACTweather.ipynb +++ b/Dask_05_dataframes_ACTweather.ipynb @@ -38,7 +38,7 @@ "\n", "## Dask DataFrames\n", "\n", - "In this tutorial, we build a parallel dataframe computation over a directory of Paleoceanography CSV files with `dask.delayed`. We use `dask.dataframe` to automatically build similiar computations for the common case of tabular computations. Dask dataframes look and feel like Pandas dataframes but they run on the same infrastructure that powers `dask.delayed`." + "In the previous tutorial, we built a parallel dataframe computation over a directory of Paleoceanography CSV files with `dask.delayed`. We now use `dask.dataframe` to automatically build similiar computations for the common case of tabular computations. Dask dataframes look and feel like Pandas dataframes but they run on the same infrastructure that powers `dask.delayed`." ] }, { @@ -55,7 +55,7 @@ "\n", "\n", "We call each chunk a *partition*, and the upper / lower bounds are *divisions*.\n", - "Dask *can* store information about the divisions. You can operate on dataframe per partition at a time when you write custom functions to apply to Dask DataFrames." + "Dask can store information about the divisions. You can operate on dataframe per partition at a time when you write custom functions to apply to Dask DataFrames." ] }, { @@ -66,7 +66,7 @@ "\n", "**Main take-aways**\n", "\n", - "1. Dask DataFrame should be familiar to Pandas users\n", + "1. Dask DataFrame will be familiar to Pandas users\n", "2. The partitioning of dataframes is important for efficient execution" ] }, @@ -137,7 +137,7 @@ "metadata": {}, "source": [ "
    \n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", + "Warning: Please make sure you specify the correct path to the scheduler.json file within your environment. \n", "
    " ] }, @@ -174,6 +174,7 @@ "source": [ "import os\n", "import dask\n", + "# Provide path to where you have saved the BoM data\n", "filename = os.path.join('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", "filename" ] @@ -450,8 +451,8 @@ ], "source": [ "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd" + "ddf = dd.read_csv(filename)\n", + "ddf" ] }, { @@ -460,7 +461,7 @@ "source": [ "Notice that the respresentation of the dataframe object contains no data - Dask has just done enough to read the start of the first file, and infer the column names and dtypes.\n", "\n", - "Also data dataframe uses \"from-delayed\" so that 375 tasks are read efficiently into the memory. " + "Also data dataframe uses \"from-delayed\" so that 125 tasks are read efficiently into the memory. " ] }, { @@ -595,7 +596,7 @@ } ], "source": [ - "dd.head()" + "ddf.head()" ] }, { @@ -727,7 +728,7 @@ } ], "source": [ - "dd.tail() " + "ddf.tail() " ] }, { @@ -748,7 +749,7 @@ ], "source": [ "# load and count number of rows\n", - "len(dd)" + "len(ddf)" ] }, { @@ -759,7 +760,7 @@ "- Dask investigated the input path and found all 125 matching files (see **npartitions=125**)\n", "- a set of jobs was intelligently created for each chunk - one per original CSV file in this case\n", "- each file was loaded into a pandas dataframe, had `len()` applied to it\n", - "- the subtotals were combined to give you the final grand total." + "- the subtotals were combined to produce the final total." ] }, { @@ -812,10 +813,10 @@ "maxes = []\n", "filenames = sorted(glob('/g/data/dk92/notebooks/demo_data/Weather_Stations_ACT/IDCJAC0009_*_*/IDCJAC0009*.csv'))\n", "for fn in filenames:\n", - " df = pd.read_csv(fn)\n", - " # rename column names to shorter strings\n", - " df.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - " maxes.append(df.rainfall.max())\n", + " with pd.read_csv(fn) as df:\n", + " # rename column names to shorter strings\n", + " df.columns = ['code','station','year','month','day','rainfall','period','quality']\n", + " maxes.append(df.rainfall.max())\n", " \n", "final_max = max(maxes)\n", "```\n", @@ -890,8 +891,8 @@ } ], "source": [ - "dd.columns = ['code','station','year','month','day','rainfall','period','quality']\n", - "%time dd.rainfall.max().compute()" + "ddf.columns = ['code','station','year','month','day','rainfall','period','quality']\n", + "%time ddf.rainfall.max().compute()" ] }, { @@ -936,7 +937,7 @@ ], "source": [ "# notice the parallelism\n", - "dd.rainfall.max().visualize()" + "ddf.rainfall.max().visualize()" ] }, { @@ -966,7 +967,7 @@ ], "source": [ "# Please change /g/data/dk92/data/ACT_weather.parquet to a directory you have write permissions to \n", - "dd.to_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')" + "ddf.to_parquet('/g/data/dk92/notebooks/demo_data/ACT_weather.parquet', engine='pyarrow')" ] }, { @@ -1099,7 +1100,7 @@ "source": [ "## Exercises\n", "\n", - "In this section we do a few `dask.dataframe` computations. These should be familiar to you if you are comfortable with Pandas. You will have to think about when to call `compute( )`.\n", + "In this section we do a few `dask.dataframe` computations. These should be familiar to you if you are comfortable with Pandas. You will have to think about when to call `compute()`.\n", "\n", "### 1.) How many rows are in our dataset?\n", "\n", @@ -1123,7 +1124,7 @@ } ], "source": [ - "len(dd)" + "len(ddf)" ] }, { @@ -1195,7 +1196,7 @@ } ], "source": [ - "dd.groupby(\"station\").period.count().compute()" + "ddf.groupby(\"station\").period.count().compute()" ] }, { @@ -1234,7 +1235,7 @@ } ], "source": [ - "dd.groupby(\"station\").rainfall.mean().compute()" + "ddf.groupby(\"station\").rainfall.mean().compute()" ] }, { @@ -1256,8 +1257,8 @@ "metadata": {}, "outputs": [], "source": [ - "mean_rainfall= dd.groupby(\"station\").period.count().mean()\n", - "std_rainfall = dd.groupby(\"station\").period.count().std()" + "mean_rainfall= ddf.groupby(\"station\").period.count().mean()\n", + "std_rainfall = ddf.groupby(\"station\").period.count().std()" ] }, { @@ -1435,7 +1436,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.7.8" } }, "nbformat": 4, diff --git a/Dask_06_schedulers_ACTweather.ipynb b/Dask_06_schedulers_ACTweather.ipynb index cdf29cc..fbb3d03 100755 --- a/Dask_06_schedulers_ACTweather.ipynb +++ b/Dask_06_schedulers_ACTweather.ipynb @@ -6,14 +6,14 @@ "source": [ "# Dask Schedulers\n", "\n", - "In this notebook we demonstrate how to set up different dask schedulars.\n", - "* A few words about dask schedulars\n", - "* Dask Schedulars on a single machine\n", - " * local thread\n", + "In this notebook we demonstrate how to set up different dask schedulers.\n", + "* A few words about dask schedulers\n", + "* Dask Schedulers on a single machine\n", + " * local threads\n", " * local processes\n", " * single thread\n", - "* Apply schedular options to weather station data\n", - "* Distributed schedulars (local)\n", + "* Apply scheduler options to weather station data\n", + "* Distributed schedulers (local)\n", "\n", "-----" ] @@ -23,9 +23,9 @@ "metadata": {}, "source": [ "- Authors: NCI Virtual Research Environment Team\n", - "- Keywords: Dask, Dataframe, schedulars\n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask-tutorial](https://github.com/dask/dask-tutorial).\n", + "- Keywords: Dask, Dataframe, schedulers\n", + "- Creation Date: 2020-May\n", + "- Lineage/Reference: This tutorial is referenced to [dask-tutorial](https://github.com/dask/dask-tutorial). It is important to note that ``dask`` is a rapidly evolving library and information contained in this tutorial may be obsolete at time of viewing.\n", "\n", "----" ] @@ -39,13 +39,13 @@ "In the previous notebooks, we used `dask.delayed` and `dask.dataframe` to parallelise computations.\n", "This work built a *task graph* instead of executing immediately, with each *task* representing a function to call on some data. The full *graph* shows the relationship between all of the different tasks.\n", "\n", - "When we wanted the actual result, we called `compute` or `load`, which handed the task graph off to a *scheduler*.\n", + "When we wanted the actual result, we called `.compute()` or `.load()`, which handed the task graph off to a *scheduler*.\n", "\n", "**Schedulers are responsible for running a task graph and producing a result**.\n", "\n", "![](https://raw.githubusercontent.com/dask/dask-org/master/images/grid_search_schedule.gif)\n", "\n", - "First, there are the single machine schedulers that execute things in parallel using threads or processes (or synchronously for debugging). These are what we've used up until now. Second, there's the `dask.distributed` scheduler, which is newer and has more features than the single machine scheduler.\n", + "First, there are single machine schedulers that execute things in parallel using threads or processes (or synchronously for debugging). These are what we've used up until now. Second, there's the `dask.distributed` scheduler, which is newer and has more features than the single machine scheduler.\n", "\n", "In this notebook we'll first talk about the different schedulers. Then we'll use the `dask.distributed` scheduler in more depth." ] @@ -60,11 +60,11 @@ "\n", "Dask has two families of task schedulers:\n", "\n", - "- Single machine scheduler: This scheduler provides basic features on a local process or thread pool. This scheduler was made first and is the default. It is simple and cheap to use, although it can only be used on a single machine and does not scale.\n", + "- Single machine scheduler: This scheduler provides basic features on a local process or thread pool. This scheduler was made first and is the default. It is simple and cheap to use, although it can only be used on a single machine/node and does not scale.\n", "\n", "- Distributed scheduler: This scheduler is more sophisticated, offers more features, but also requires a bit more effort to set up. It can run locally or distributed across a cluster.\n", "\n", - "For different computations you may find better performance with particular scheduler settings. This session helps you understand how to choose between and configure different schedulers, and provides guidelines on which one might be more appropriate.\n", + "For different computations you may find better performance with particular scheduler settings. This lesson helps you understand how to choose between and configure different schedulers, and provides guidelines on which one might be more appropriate.\n", "\n", "#### Local Threads\n", "\n", @@ -72,7 +72,7 @@ "- `dask.config.set(scheduler='threads')` # overwrite default with threaded scheduler\n", "```\n", "\n", - "The threaded scheduler executes computations with a local multiprocessing.pool.ThreadPool. It is lightweight and requires no setup. It introduces very little task overhead (around 50us per task) and, because everything occurs in the same process, it incurs no costs to transfer data between tasks. However, due to Python’s Global Interpreter Lock (GIL), this scheduler only provides parallelism when your computation is dominated by non-Python code, as is primarily the case when operating on numeric data in NumPy arrays, Pandas DataFrames, or using any of the other C/C++/Cython based projects in the ecosystem.\n", + "The threaded scheduler executes computations with a local `multiprocessing.pool.ThreadPool`. It is lightweight and requires no setup. It introduces very little task overhead (around 50$\\mu$s per task) and, because everything occurs in the same process, it incurs no costs to transfer data between tasks. However, due to Python’s Global Interpreter Lock (GIL), this scheduler only provides parallelism when your computation is dominated by non-Python code, as is primarily the case when operating on numeric data in NumPy arrays, Pandas DataFrames, or using any of the other C/C++/Cython based projects in the ecosystem.\n", "\n", "The threaded scheduler is the default choice for Dask Array, Dask DataFrame, and Dask Delayed. However, if your computation is dominated by processing pure Python objects like strings, dicts, or lists, then you may want to try one of the process-based schedulers below (we currently recommend the distributed scheduler on a local machine).\n", "\n", @@ -96,9 +96,9 @@ "\n", "The single-threaded synchronous scheduler executes all computations in the local thread with no parallelism at all. This is particularly valuable for debugging and profiling, which are more difficult when using threads or processes.\n", "\n", - "For example, when using IPython or Jupyter notebooks, the `%debug`, `%pdb`, or `%prun` magics will not work well when using the parallel Dask schedulers (they were not designed to be used in a parallel computing context). However, if you run into an exception and want to step into the debugger, you may wish to rerun your computation under the single-threaded scheduler where these tools will function properly.\n", + "For example, when using iPython or Jupyter notebooks, the `%debug`, `%pdb`, or `%prun` magics will not work well when using the parallel Dask schedulers (they were not designed to be used in a parallel computing context). However, if you run into an exception and want to step into the debugger, you may wish to rerun your computation under the single-threaded scheduler where these tools will function properly.\n", "\n", - "Here we discuss the *local* schedulers - schedulers that run only on a single machine. In each case we change the scheduler used in a few different ways:\n", + "Here we discuss the *local* schedulers - schedulers that run only on a single machine. We experimented with these in the Dask_02 lesson. In each case we change the scheduler used in a few different ways:\n", "\n", "- By providing a `scheduler=` keyword argument to `compute`:\n", "\n", @@ -137,6 +137,7 @@ "metadata": {}, "outputs": [], "source": [ + "# Provide path to the ACT rainfall data used in Dask_05\n", "filename = os.path.join('/g/data/dk92/notebooks/demo_data/', 'Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", "df = dd.read_csv(filename)\n", "# rename column headers\n", @@ -260,8 +261,8 @@ "source": [ "### Some Questions to Consider:\n", "\n", - "- How much speedup is possible for this task (hint, look at the graph).\n", - "- Given how many cores are on this machine, how much faster could the parallel schedulers be than the single-threaded scheduler.\n", + "- How much speedup is possible for this task (hint, look at the graph)?\n", + "- Given how many cores are on this machine, how much faster could the parallel schedulers be than the single-threaded scheduler?\n", "- How much faster was using threads over a single thread? Why does this differ from the optimal speedup?\n", "- Why is the multiprocessing scheduler so much slower here?" ] @@ -370,7 +371,7 @@ "source": [ "### Exercise\n", "\n", - "Run the following computations while looking at the diagnostics page. In each case what is taking the most time?" + "Run the following computations while looking at the diagnostics page (dask dashboard). In each case what is taking the most time?" ] }, { @@ -384,8 +385,8 @@ "import pandas as pd\n", "filename = os.path.join('/g/data/dk92/notebooks/demo_data/', 'Weather_Stations_ACT','IDCJAC0009_*_*','IDCJAC0009*.csv')\n", "import dask.dataframe as dd\n", - "dd = dd.read_csv(filename)\n", - "dd.columns = ['code','station','year','month','day','rainfall','period','quality']" + "ddf = dd.read_csv(filename)\n", + "ddf.columns = ['code','station','year','month','day','rainfall','period','quality']" ] }, { @@ -406,7 +407,7 @@ ], "source": [ "### 1.) How many rows are in our dataset?\n", - "len(dd)" + "len(ddf)" ] }, { @@ -462,7 +463,7 @@ ], "source": [ "### 3.) In total, how many non-record days from each weather station?\n", - "dd.groupby(\"station\").period.count().compute()" + "ddf.groupby(\"station\").period.count().compute()" ] }, { @@ -495,7 +496,7 @@ ], "source": [ "### 4.) What was the average rainfall from each station?\n", - "dd.groupby(\"station\").rainfall.mean().compute()" + "ddf.groupby(\"station\").rainfall.mean().compute()" ] }, { @@ -522,7 +523,7 @@ "source": [ "### More...\n", "\n", - "The distributed scheduler is more sophisticated than the single machine schedulers. It can compute asynchronously, and also provides an api similar to that of `concurrent.futures`. For further information you can see the docs http://distributed.readthedocs.io/en/latest/." + "The distributed scheduler is more sophisticated than the single machine schedulers. It can compute asynchronously, and also provides an API similar to that of `concurrent.futures`. For further information you can see the docs http://distributed.readthedocs.io/en/latest/." ] }, { @@ -556,4 +557,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/Dask_07_numpy_temperature.ipynb b/Dask_07_numpy_temperature.ipynb index 3bb77c2..c0e454c 100755 --- a/Dask_07_numpy_temperature.ipynb +++ b/Dask_07_numpy_temperature.ipynb @@ -22,8 +22,8 @@ "source": [ "- Authors: NCI Virtual Research Environment Team\n", "- Keywords: ND array, Dask, Numpy, Scale \n", - "- Create Date: 2020-May\n", - "- Lineage/Reference: This tutorial is referenced to [dask tutorial](https://github.com/dask/dask-tutorial).\n", + "- Creation Date: 2020-May\n", + "- Lineage/Reference: This tutorial is derived from [dask tutorial](https://github.com/dask/dask-tutorial).\n", "---" ] }, @@ -90,7 +90,7 @@ "metadata": {}, "source": [ "
    \n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", + "Warning: Please make sure you specify the correct path to the scheduler.json file within your environment. \n", "
    \n", "\n", "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." @@ -126,6 +126,7 @@ "# this creates a pointer to the data, but does not actually load\n", "import h5py\n", "import os\n", + "# Provide path to data\n", "f = h5py.File(os.path.join('/g/data/dk92/notebooks/demo_data/', 'random.hdf5'), mode='r')\n", "dset = f['/x']" ] @@ -1395,7 +1396,7 @@ "Performance and Parallelism\n", "-------------------------------\n", "\n", - "In our first examples we used `for` loops to walk through the array one block at a time. For simple operations like `sum` this is optimal. However, for complex operations we may want to traverse through the array differently. In particular we may want the following:\n", + "In our first example we used `for` loops to walk through the array one block at a time. For simple operations like `sum` this is optimal. However, for complex operations we may want to traverse through the array differently. In particular we may want the following:\n", "\n", "1. Use multiple cores in parallel\n", "2. Chain operations on a single blocks before moving on to the next one\n", @@ -1414,7 +1415,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "1. Construct a 20000x20000 array of normally distributed random values broken up into 1000x1000 sized chunks\n", + "1. Construct a 20,000 x 20,000 array of normally distributed random values broken up into 1000 x 1000 sized chunks\n", "2. Take the mean along one axis\n", "3. Take every 100th element" ] @@ -1528,7 +1529,7 @@ "Performance comparision\n", "---------------------------\n", "\n", - "The following experiment was performed on Gadi using 96 cores. Your performance may vary. If you attempt the NumPy version then please ensure that you have more than 4GB of main memory." + "The following experiment was performed on Gadi using 96 cores. Your performance may vary. If you attempt the NumPy version then please ensure that you have more than 4GB of main memory available." ] }, { @@ -1714,7 +1715,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "There is 5 GB of Australian temperature data over the past twenty years kindly provided by Morwenna Griffiths () from the Bureau of Meterology. This demo data only serves to demonstrate the dask array performance. Please refer to a proper Australian temperature data collection at [NCI's data catlogue](https://geonetwork.nci.org.au/) . \n", + "There is 5GB of Australian temperature data over the past twenty years kindly provided by Morwenna Griffiths () from the Bureau of Meterology. This demo data only serves to demonstrate the dask array performance. Please refer to a proper Australian temperature data collection at [NCI's data catlogue](https://geonetwork.nci.org.au/). **Note:** the Australian Gridded Climate Data (AGCD) collection is not yet publicly available at NCI. \n", "\n", "The data is available in `/g/data/dk92/notebooks/demo_data/temp_data`. \n", "\n", @@ -1762,6 +1763,13 @@ "filenames" ] }, + { + "source": [ + "Let's create a list of these files and check the structure of the first one." + ], + "cell_type": "markdown", + "metadata": {} + }, { "cell_type": "code", "execution_count": 2, @@ -2189,6 +2197,13 @@ "dsets[0]" ] }, + { + "source": [ + "The files contain variable `tmax`. What does that contain?" + ], + "cell_type": "markdown", + "metadata": {} + }, { "cell_type": "code", "execution_count": 3, @@ -2608,7 +2623,7 @@ "source": [ "**Integrate with `dask.array`**\n", "\n", - "Make a list of `dask.array` objects out of your list of `Xarray.Dataset` objects using the `da.from_array` function with a chunk size of `(1, 691, 886)`." + "Make a list of `dask.array` objects out of your list of `Xarray.Dataset` objects using the `da.from_array` function with a chunk size of `(1, 691, 886)`. Why would we choose this as a chunk size? Consider the dimensions of the data. Let's just extract the January data for each year, that is, the first 31 timesteps." ] }, { @@ -2652,7 +2667,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Stack these along the first axis so that the shape of the resulting array is `(31, 5760, 11520)`." + "Stack these along the first axis so that the shape of the resulting array is `(31, 691, 886)`." ] }, { @@ -3359,7 +3374,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "**Plot the mean of this array along the time (`0th`) axis**" + "**Plot the mean of this array along the time axis.** As python uses 0-indexing, this is the `0th` axis." ] }, { @@ -3431,7 +3446,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In the above exercise the result of our computation is small to handle, so we can call `compute( )` safely. Sometimes our result is still too large to fit into memory and we want to save it to disk. \n", + "In the above exercise the result of our computation is small to handle, so we can call `compute()` safely. Sometimes our result is still too large to fit into memory and we want to save it to disk. \n", "\n", "See what happens if you try to calculate the mean value over the whole 10 years of temperature data. `Hint:` You will get an error message of \"worker killed\".\n", "\n", @@ -18251,4 +18266,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/Dask_08_xarray_CMIP6.ipynb b/Dask_08_xarray_CMIP6.ipynb index 65b0af1..43531f0 100755 --- a/Dask_08_xarray_CMIP6.ipynb +++ b/Dask_08_xarray_CMIP6.ipynb @@ -24,13 +24,13 @@ "source": [ "- Authors: NCI Virtual Research Environment Team\n", "- Keywords: CMIP6, xarray, dask\n", - "- Create Date: 2020-May\n", + "- CreationDate: 2020-May\n", "---" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -51,60 +51,792 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\n" + "\n" ] } ], "source": [ - "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", - "from dask.distributed import Client\n", - "client = Client()\n", - "print(client)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from dask.distributed import Client, LocalCluster\n", - "client = Client(scheduler_file='scheduler.json')\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "
    \n", - "Warning: Please make sure you specify the correct path to the schedular.json file within your environment. \n", - "
    " - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Open a dataset\n", - "\n", - "Xarray is an open source project and Python package that extends the labeled data functionality of Pandas to N-dimensional array-like datasets. It shares a similar API to NumPy and Pandas and supports both Dask and NumPy arrays under the hood. \n", + "# If you run this notebook on your local computer or NCI's VDI instance, you can create cluster\n", + "from dask.distributed import Client\n", + "client = Client(n_workers=8, threads_per_worker=1, processes=False, silence_logs='error') #Suppress warnings, not generally a good idea\n", + "print(client)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# If running on Gadi using the Pangeo environment\n", + "from dask.distributed import Client, LocalCluster\n", + "client = Client(scheduler_file='scheduler.json')\n", + "print(client)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
    \n", + "Warning: Please make sure you specify the correct path to the scheduler.json file within your environment. \n", + "
    " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Starting the Dask Client will provide a dashboard which is useful to gain insight into the computation. The link to the dashboard will become visible when you create the Client. We recommend having the Client open on one side of your screen and your notebook open on the other side, which will be useful for learning purposes." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Open a dataset\n", + "\n", + "Xarray is an open source project and Python package that extends the labeled data functionality of Pandas to N-dimensional array-like datasets. It shares a similar API to NumPy and Pandas and supports both Dask and NumPy arrays under the hood. \n", + "\n", + "By specifying the chunk shape, xarray will automatically create Dask arrays for each data variable in the `Dataset`. In xarray, `Datasets` are dict-like containers of labelled arrays, analogous to the `pandas.DataFrame`. Note that we're taking advantage of xarray's dimension labels when specifying chunk shapes." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset>\n",
    +       "Dimensions:   (bnds: 2, lat: 144, lon: 192, time: 2919)\n",
    +       "Coordinates:\n",
    +       "  * time      (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
    +       "  * lat       (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
    +       "  * lon       (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
    +       "Dimensions without coordinates: bnds\n",
    +       "Data variables:\n",
    +       "    lat_bnds  (time, lat, bnds) float64 dask.array<chunksize=(2919, 144, 2), meta=np.ndarray>\n",
    +       "    lon_bnds  (time, lon, bnds) float64 dask.array<chunksize=(2919, 92, 2), meta=np.ndarray>\n",
    +       "    ps        (time, lat, lon) float32 dask.array<chunksize=(2919, 144, 92), meta=np.ndarray>\n",
    +       "Attributes:\n",
    +       "    Conventions:            CF-1.7 CMIP-6.2\n",
    +       "    activity_id:            CMIP\n",
    +       "    branch_method:          standard\n",
    +       "    branch_time_in_child:   0.0\n",
    +       "    branch_time_in_parent:  0.0\n",
    +       "    creation_date:          2019-11-08T06:00:27Z\n",
    +       "    data_specs_version:     01.00.30\n",
    +       "    experiment:             all-forcing simulation of the recent past\n",
    +       "    experiment_id:          historical\n",
    +       "    external_variables:     areacella\n",
    +       "    forcing_index:          1\n",
    +       "    frequency:              6hrPt\n",
    +       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n",
    +       "    grid:                   native atmosphere N96 grid (144x192 latxlon)\n",
    +       "    grid_label:             gn\n",
    +       "    history:                2019-11-08T06:00:27Z ; CMOR rewrote data to be co...\n",
    +       "    initialization_index:   1\n",
    +       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
    +       "    institution_id:         CSIRO-ARCCSS\n",
    +       "    mip_era:                CMIP6\n",
    +       "    nominal_resolution:     250 km\n",
    +       "    notes:                  Exp: CM2-historical; Local ID: bj594; Variable: p...\n",
    +       "    parent_activity_id:     CMIP\n",
    +       "    parent_experiment_id:   piControl\n",
    +       "    parent_mip_era:         CMIP6\n",
    +       "    parent_source_id:       ACCESS-CM2\n",
    +       "    parent_time_units:      days since 0950-01-01\n",
    +       "    parent_variant_label:   r1i1p1f1\n",
    +       "    physics_index:          1\n",
    +       "    product:                model-output\n",
    +       "    realization_index:      1\n",
    +       "    realm:                  atmos\n",
    +       "    run_variant:            forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n",
    +       "    source:                 ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n",
    +       "    source_id:              ACCESS-CM2\n",
    +       "    source_type:            AOGCM\n",
    +       "    sub_experiment:         none\n",
    +       "    sub_experiment_id:      none\n",
    +       "    table_id:               6hrLev\n",
    +       "    table_info:             Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n",
    +       "    title:                  ACCESS-CM2 output prepared for CMIP6\n",
    +       "    variable_id:            ps\n",
    +       "    variant_label:          r1i1p1f1\n",
    +       "    version:                v20191108\n",
    +       "    cmor_version:           3.4.0\n",
    +       "    tracking_id:            hdl:21.14100/d28c06ba-e284-436a-84fe-ae8d4520879f\n",
    +       "    license:                CMIP6 model data produced by CSIRO is licensed un...
    " + ], + "text/plain": [ + "\n", + "Dimensions: (bnds: 2, lat: 144, lon: 192, time: 2919)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n", + " * lat (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n", + " * lon (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n", + "Dimensions without coordinates: bnds\n", + "Data variables:\n", + " lat_bnds (time, lat, bnds) float64 dask.array\n", + " lon_bnds (time, lon, bnds) float64 dask.array\n", + " ps (time, lat, lon) float32 dask.array\n", + "Attributes:\n", + " Conventions: CF-1.7 CMIP-6.2\n", + " activity_id: CMIP\n", + " branch_method: standard\n", + " branch_time_in_child: 0.0\n", + " branch_time_in_parent: 0.0\n", + " creation_date: 2019-11-08T06:00:27Z\n", + " data_specs_version: 01.00.30\n", + " experiment: all-forcing simulation of the recent past\n", + " experiment_id: historical\n", + " external_variables: areacella\n", + " forcing_index: 1\n", + " frequency: 6hrPt\n", + " further_info_url: https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n", + " grid: native atmosphere N96 grid (144x192 latxlon)\n", + " grid_label: gn\n", + " history: 2019-11-08T06:00:27Z ; CMOR rewrote data to be co...\n", + " initialization_index: 1\n", + " institution: CSIRO (Commonwealth Scientific and Industrial Res...\n", + " institution_id: CSIRO-ARCCSS\n", + " mip_era: CMIP6\n", + " nominal_resolution: 250 km\n", + " notes: Exp: CM2-historical; Local ID: bj594; Variable: p...\n", + " parent_activity_id: CMIP\n", + " parent_experiment_id: piControl\n", + " parent_mip_era: CMIP6\n", + " parent_source_id: ACCESS-CM2\n", + " parent_time_units: days since 0950-01-01\n", + " parent_variant_label: r1i1p1f1\n", + " physics_index: 1\n", + " product: model-output\n", + " realization_index: 1\n", + " realm: atmos\n", + " run_variant: forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n", + " source: ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n", + " source_id: ACCESS-CM2\n", + " source_type: AOGCM\n", + " sub_experiment: none\n", + " sub_experiment_id: none\n", + " table_id: 6hrLev\n", + " table_info: Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n", + " title: ACCESS-CM2 output prepared for CMIP6\n", + " variable_id: ps\n", + " variant_label: r1i1p1f1\n", + " version: v20191108\n", + " cmor_version: 3.4.0\n", + " tracking_id: hdl:21.14100/d28c06ba-e284-436a-84fe-ae8d4520879f\n", + " license: CMIP6 model data produced by CSIRO is licensed un..." + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# On NCI systems (Gadi or VDI)\n", "\n", - "By specifying the chunk shape, xarray will automatically create Dask arrays for each data variable in the `Dataset`. In xarray, `Datasets` are dict-like containers of labeled arrays, analogous to the `pandas.DataFrame`. Note that we're taking advantage of Xarray's dimension labels when specifying chunk shapes." + "filename = '/g/data/fs38/publications/CMIP6/CMIP/CSIRO-ARCCSS/ACCESS-CM2/historical/r1i1p1f1/6hrLev/ps/gn/latest/*.nc'\n", + "ds = xr.open_mfdataset(filename,combine='nested', concat_dim='time',chunks={'lat': 144, 'lon': 92, 'time': -1})\n", + "ds = ds.sel(time=slice('1950','1951'))\n", + "ds" ] }, { @@ -468,62 +1200,67 @@ "
    <xarray.Dataset>\n",
            "Dimensions:   (bnds: 2, lat: 144, lon: 192, time: 2919)\n",
            "Coordinates:\n",
    +       "  * time      (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
            "  * lat       (lat) float64 -89.38 -88.12 -86.88 -85.62 ... 86.88 88.12 89.38\n",
            "  * lon       (lon) float64 0.9375 2.812 4.688 6.562 ... 353.4 355.3 357.2 359.1\n",
    -       "  * time      (time) datetime64[ns] 1950-01-01T06:00:00 ... 1951-12-31T18:00:00\n",
            "Dimensions without coordinates: bnds\n",
            "Data variables:\n",
            "    lat_bnds  (time, lat, bnds) float64 dask.array<chunksize=(2919, 144, 2), meta=np.ndarray>\n",
            "    lon_bnds  (time, lon, bnds) float64 dask.array<chunksize=(2919, 92, 2), meta=np.ndarray>\n",
            "    ps        (time, lat, lon) float32 dask.array<chunksize=(2919, 144, 92), meta=np.ndarray>\n",
            "Attributes:\n",
    -       "    Conventions:            CF-1.7 CMIP-6.2\n",
    -       "    activity_id:            CMIP\n",
    -       "    branch_method:          standard\n",
    -       "    branch_time_in_child:   0.0\n",
    -       "    branch_time_in_parent:  0.0\n",
    -       "    creation_date:          2019-11-08T06:00:27Z\n",
    -       "    data_specs_version:     01.00.30\n",
    -       "    experiment:             all-forcing simulation of the recent past\n",
    -       "    experiment_id:          historical\n",
    -       "    external_variables:     areacella\n",
    -       "    forcing_index:          1\n",
    -       "    frequency:              6hrPt\n",
    -       "    further_info_url:       https://furtherinfo.es-doc.org/CMIP6.CSIRO-ARCCSS...\n",
    -       "    grid:                   native atmosphere N96 grid (144x192 latxlon)\n",
    -       "    grid_label:             gn\n",
    -       "    history:                2019-11-08T06:00:27Z ; CMOR rewrote data to be co...\n",
    -       "    initialization_index:   1\n",
    -       "    institution:            CSIRO (Commonwealth Scientific and Industrial Res...\n",
    -       "    institution_id:         CSIRO-ARCCSS\n",
    -       "    mip_era:                CMIP6\n",
    -       "    nominal_resolution:     250 km\n",
    -       "    notes:                  Exp: CM2-historical; Local ID: bj594; Variable: p...\n",
    -       "    parent_activity_id:     CMIP\n",
    -       "    parent_experiment_id:   piControl\n",
    -       "    parent_mip_era:         CMIP6\n",
    -       "    parent_source_id:       ACCESS-CM2\n",
    -       "    parent_time_units:      days since 0950-01-01\n",
    -       "    parent_variant_label:   r1i1p1f1\n",
    -       "    physics_index:          1\n",
    -       "    product:                model-output\n",
    -       "    realization_index:      1\n",
    -       "    realm:                  atmos\n",
    -       "    run_variant:            forcing: GHG, Oz, SA, Sl, Vl, BC, OC, (GHG = CO2,...\n",
    -       "    source:                 ACCESS-CM2 (2019): \\naerosol: UKCA-GLOMAP-mode\\na...\n",
    -       "    source_id:              ACCESS-CM2\n",
    -       "    source_type:            AOGCM\n",
    -       "    sub_experiment:         none\n",
    -       "    sub_experiment_id:      none\n",
    -       "    table_id:               6hrLev\n",
    -       "    table_info:             Creation Date:(30 April 2019) MD5:e14f55f257cceaf...\n",
    -       "    title:                  ACCESS-CM2 output prepared for CMIP6\n",
    -       "    variable_id:            ps\n",
    -       "    variant_label:          r1i1p1f1\n",
    -       "    version:                v20191108\n",
    -       "    cmor_version:           3.4.0\n",
    -       "    tracking_id:            hdl:21.14100/d28c06ba-e284-436a-84fe-ae8d4520879f\n",
    -       "    license:                CMIP6 model data produced by CSIRO is licensed un...