diff --git a/README.md b/README.md index eb1989e..2345e49 100644 --- a/README.md +++ b/README.md @@ -1,23 +1 @@ -# Genes2Genes -### A new algorithm and framework for single-cell trajectory alignment - -Genes2Genes aims to guide downstream comparative analysis of reference and query systems along any axis of progression (e.g. pseudotime) through both gene-level and cell-level alignment. - -You can use this framework to perform comparisons such as: - - -#### Input to Genes2Genes -(1) Reference adata (with `adata_ref.X` storing log1p normalised expression), -(2) Query adata (with `adata_query.X` storing log1p normalised expression), and -(3) Pseudotime estimates stored in each adata object under `adata.obs['time']`. - -**Note: This is the initial and testable version of Genes2Genes (in confidence -- still unpublished and under refinement) so you might run into unforseen errors and bugs. Please do let me know so that I can correct them before releasing the stable version. Thanks!** - -### Tutorial - -Please refer to the tutorial notebook which gives steps to analyse an example reference and query dataset: 2 treatment groups of mouse-bone-marrow-derived Dendritic cells from Shalek et al (2014). The respective single-cell datasets along with pseudotime estimates were downloaded from CellAlign (Alpert et al 2018) and packaged into adata objects. - +Simulation Trials diff --git a/notebooks/TrajectorySimulatorUsingGPs.ipynb b/notebooks/TrajectorySimulatorUsingGPs.ipynb new file mode 100644 index 0000000..9742476 --- /dev/null +++ b/notebooks/TrajectorySimulatorUsingGPs.ipynb @@ -0,0 +1,1728 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "comprehensive-morocco", + "metadata": {}, + "source": [ + "## Experiment to test how well G2G captures different alignment patterns\n", + "\n", + "Here we simulate (1) totally matched patterns using sampled functions from a Gaussian Process with RBF kernel, as well as (2) convergent (3) divergent (4) crossing patterns using a change point kernel by Penfold et al (2018), Wilson (2013), implemented based on standard textbook learnings on GPs and change point kernels. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "creative-debut", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import torch\n", + "import gpytorch\n", + "import seaborn as sb\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.cluster import KMeans\n", + "from sklearn.cluster import AgglomerativeClustering\n", + "from tqdm import tqdm\n", + "import pickle\n", + "import anndata\n", + "import os,sys,inspect\n", + "# setting the path to source\n", + "# sys.path.insert(0,os.path.dirname(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))) + '/source') \n", + "sys.path.append('source') \n", + "# new source imports \n", + "import Main\n", + "import ClusterUtils\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "warnings.simplefilter(action='ignore', category=FutureWarning)\n", + "torch.cuda.is_available() \n", + "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", + "torch.manual_seed(1)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "strategic-relevance", + "metadata": {}, + "outputs": [], + "source": [ + "def run_G2G(simulated_datasets,T_f, use_const_std=False):\n", + " # if const_std mode, G2G uses a constant of std=0.1 for all time points \n", + " n_sim_genes = len(simulated_datasets) \n", + " r_df = []\n", + " q_df = []\n", + " time = T_f.detach().numpy()\n", + " \n", + " for dataset in simulated_datasets:\n", + " r_df.append( dataset[0])\n", + " q_df.append( dataset[1])\n", + " r_df = pd.DataFrame(r_df).transpose() \n", + " q_df = pd.DataFrame(q_df).transpose() \n", + " r_df.columns = np.asarray(['Gene' + str(x) for x in np.arange(n_sim_genes)]) \n", + " q_df.columns = r_df.columns\n", + " gene_list = list(r_df.columns)\n", + "\n", + " aligner = Main.RefQueryAligner(r_df,time, q_df, time, gene_list, 50)\n", + " aligner.WEIGHT_BY_CELL_DENSITY = True\n", + " aligner.CONST_STD=use_const_std\n", + " aligner.align_all_pairs()\n", + " \n", + " return aligner\n", + "\n", + "def plot_simulated_dataset(simulated_dataset, T_f, figsize = (15,3)):\n", + " l = len(simulated_dataset)\n", + " ncol = 4\n", + " nrow = int(np.ceil(l/ncol)) \n", + " plt.subplots(nrow,ncol,figsize=figsize) \n", + " k=1\n", + " for pair in simulated_dataset:\n", + " plt.subplot(nrow,ncol,k)\n", + " sb.scatterplot(T_f,pair[0], color='midnightblue')\n", + " sb.scatterplot(T_f,pair[1], color='forestgreen')\n", + " k=k+1" + ] + }, + { + "cell_type": "markdown", + "id": "configured-grove", + "metadata": {}, + "source": [ + "## All Matches simulator\n", + "\n", + "Random Sampling a reference and query instance of a function under a Gaussian Process" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "literary-combat", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 100/100 [02:43<00:00, 1.64s/it]\n" + ] + } + ], + "source": [ + "def generate_matched_functions(f, base_mean, base_kernel, σ = 0.1):\n", + " sample1 = gpytorch.distributions.MultivariateNormal(f, (σ**2)*torch.eye(len(f))).rsample()\n", + " sample2 = gpytorch.distributions.MultivariateNormal(f, (σ**2)*torch.eye(len(f))).rsample()\n", + " return sample1,sample2\n", + "\n", + "def run_all_match_simuator(T_f, n_simulations,base_mean_factor = 0.0):\n", + "\n", + " base_mean = torch.zeros(len(T_f)) + base_mean_factor\n", + " base_kernel = gpytorch.kernels.RBFKernel(); base_kernel = gpytorch.lazy.NonLazyTensor(base_kernel(T_f).evaluate())\n", + " f = gpytorch.distributions.MultivariateNormal(base_mean,base_kernel).rsample()\n", + " \n", + " matched_datasets = []\n", + " for i in tqdm(range(n_simulations)):\n", + " # sample random variation \n", + " σ = np.random.uniform(0.05,1.0)\n", + " sample1,sample2 = generate_matched_functions(f, base_mean, base_kernel,σ)\n", + " dataset = [sample1.detach().numpy(), sample2.detach().numpy()]\n", + " matched_datasets.append(dataset)\n", + " return matched_datasets\n", + "\n", + "T_f = torch.tensor(np.linspace(0,1,300,dtype=np.float64)) # specify time points \n", + "matched_datasets = run_all_match_simuator(T_f, n_simulations=100)\n", + "#plot_simulated_dataset(matched_datasets, T_f, figsize=(15,15))" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "level-pennsylvania", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2d25670dacb34e1a8d7cd3afcde55272", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/100 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "def run_match_experiment(matched_datasets, const_std_mode = False):\n", + " \n", + " aligner_matched = run_G2G(matched_datasets, T_f, const_std_mode)\n", + " total_match_count_dist = [a.alignment_str.count('M') +a.alignment_str.count('W') + a.alignment_str.count('V') for a in aligner_matched.results]\n", + " total_mismatch_count_dist = [a.alignment_str.count('I') + a.alignment_str.count('D') for a in aligner_matched.results]\n", + " plt.subplots(1,2)\n", + " plt.subplot(1,2,1)\n", + " sb.boxplot(total_match_count_dist) \n", + " plt.subplot(1,2,2)\n", + " sb.boxplot(total_mismatch_count_dist) \n", + "\n", + " return aligner_matched, total_match_count_dist,total_mismatch_count_dist\n", + " \n", + "aligner_matched, total_match_count_dist,total_mismatch_count_dist = run_match_experiment(matched_datasets, const_std_mode=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "catholic-seven", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_simulated_dataset(matched_datasets[10:22], T_f, figsize=(15,10))" + ] + }, + { + "cell_type": "markdown", + "id": "representative-juice", + "metadata": {}, + "source": [ + "## Divergence and Convergence simulator\n", + "\n", + "#### Implementing the HGP Branching Process with change point kernel by Penfold et al (2018)\n", + "Following is my attempt to implement the HGP based branching process to simulate a branching time series (10/11/2021)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fabulous-lyric", + "metadata": {}, + "outputs": [], + "source": [ + "# ========================================================================================================================\n", + "class ZeroKernel(gpytorch.kernels.Kernel):\n", + " \n", + " def __init__(self,**kwargs):\n", + " super(ZeroKernel, self).__init__(**kwargs) \n", + " \n", + " def forward(self,x1,x2,**kwargs):\n", + " return torch.zeros(len(x1),len(x2))\n", + " \n", + "#class ChangePointKernel(gpytorch.kernels.Kernel): TODO\n", + " \n", + "def ChangePointKernel(K1,K2,T_f,t_cp,s):\n", + " \n", + " K1 = K1(T_f).evaluate().detach().numpy()\n", + " K2 = K2(T_f).evaluate().detach().numpy()\n", + " T_f = T_f.detach().numpy()\n", + " \n", + " def a(t,t_cp): # sigmoid function\n", + " s=30# steepness - this controls how steep the bifurcation point (seems a high value is suitable for the 0-1 range from testing)\n", + " return 1/(1+np.exp((t_cp-t)*s)) #return 0.5 * (1.0 + np.tanh((t_b-t)/s))\n", + " \n", + " CP = np.zeros([len(T_f),len(T_f)])\n", + " for i in range(0,len(T_f)):\n", + " for j in range(0,len(T_f)):\n", + " a1 = a(T_f[i],t_cp)\n", + " a2 = a(T_f[j],t_cp)\n", + " CP[i,j] = (a1*K2[i,j]*a2) + ((1-a1)*K1[i,j]*(1-a2)) \n", + " #sb.heatmap(CP)\n", + " return torch.tensor(CP)\n", + "\n", + "# ========================================================================================================================\n", + "class HierarchicalGP():\n", + " \n", + " def __init__(self,n_levels, n_branches_per_level):\n", + " self.n_levels = n_levels \n", + " self.n_branches_per_level = n_branches_per_level\n", + " self.functions = []\n", + " self.level_kernels = [] \n", + " \n", + " def set_hierarchical_level_kernels(self,hierarchical_level_kernels): # need to set this before construction\n", + " self.level_kernels = hierarchical_level_kernels\n", + " \n", + " def recursive_construct_HGP(self, base_f, level):\n", + " if(level==self.n_levels):\n", + " return\n", + " for branch in range(self.n_branches_per_level[level]):\n", + " f = gpytorch.distributions.MultivariateNormal(base_f,self.level_kernels[level]).rsample() \n", + " if(level==self.n_levels-1): # leaf level\n", + " #print('level ',level, ' | branch ',branch)\n", + " self.functions.append(f)\n", + " self.recursive_construct_HGP(f,level+1)\n", + " \n", + " def construct(self, base_mean_factor = 0.0): # base mean factor to change base mean from 0 to any extent\n", + " base_mean = torch.zeros(len(self.T_f)) + base_mean_factor\n", + " base_kernel = gpytorch.kernels.RBFKernel(); base_kernel = gpytorch.lazy.NonLazyTensor(base_kernel(self.T_f).evaluate())\n", + " GP_base_function = gpytorch.distributions.MultivariateNormal(base_mean,base_kernel).rsample() # defining the root level GP\n", + " self.recursive_construct_HGP(GP_base_function,0)\n", + " \n", + "class BranchingProcess(HierarchicalGP):\n", + " \n", + " def __init__(self, n_levels, n_branches_per_level):\n", + " super(BranchingProcess,self).__init__(n_levels, n_branches_per_level)\n", + " \n", + " def get_branching_kernel(self,T_f,level,level_bifurcation_points): # A change point kernel \n", + " K1 = ZeroKernel()\n", + " K2 = gpytorch.kernels.RBFKernel(); K2.lengthscale=3\n", + " K = ChangePointKernel(K1,K2,self.T_f,self.bifurcation_points[level],s=5) # for branching process as done by Penfold et al (2018)\n", + " return gpytorch.lazy.NonLazyTensor(K)\n", + " \n", + " def init_hierarchical_level_kernels(self, level_bifurcation_points):\n", + " level_kernels = [] \n", + " T_f = np.linspace(0,1,300,dtype=np.float64)\n", + " self.T_f = torch.tensor(T_f)\n", + " for l in range(0,self.n_levels):\n", + " level_kernels.append(self.get_branching_kernel(self.T_f,l,level_bifurcation_points))\n", + " self.set_hierarchical_level_kernels(level_kernels)\n", + " \n", + " def run(self, bifurcation_points, base_mean_factor = 0.0):\n", + " self.bifurcation_points = bifurcation_points\n", + " self.init_hierarchical_level_kernels(self.bifurcation_points)\n", + " self.construct(base_mean_factor)\n", + " \n", + " def simulate_branching_process(self, σ = 0.1): # generate random data points according to the Hierarhical GP branching process\n", + " simulated_data = []\n", + " for f in self.functions:\n", + " #sb.scatterplot(self.T_f,f.detach().numpy())\n", + " sample = gpytorch.distributions.MultivariateNormal(f, (σ**2)*torch.eye(len(f))).rsample()\n", + " #sb.scatterplot(self.T_f,sample.detach().numpy())\n", + " simulated_data.append(sample)\n", + " return simulated_data, self.T_f\n", + " \n", + " \n", + "def run_divergence_simulator(BIFURCATION_POINT= 0.5, n_simulations = 10, MEAN_DIFF_THRESHOLD = 0.5,σ = 0.2):\n", + " divergence_simulated_dataset = [] \n", + " \n", + " while(len(divergence_simulated_dataset)" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#plot_simulated_dataset(divergence_simulated_datasets[0:20], T_f, figsize=(20,15))\n", + "plot_simulated_dataset(convergence_simulated_datasets[30:50], T_f, figsize=(20,15)) " + ] + }, + { + "cell_type": "markdown", + "id": "organizational-lexington", + "metadata": {}, + "source": [ + "# Crossing Simulator" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "national-denver", + "metadata": {}, + "outputs": [], + "source": [ + "torch.manual_seed(1)\n", + "def get_branching_kernel(T_f, BIFURCATION_POINT = 0.5, plot_kernels = False):\n", + "\n", + " K = gpytorch.kernels.RBFKernel(); K.lengthscale = 0.5 # define kernel\n", + " n_functions = 2\n", + " bifurcation_t = torch.tensor(BIFURCATION_POINT) \n", + " K_ff = K(T_f).evaluate() # K_ff block -- self function variance -- evaluate covariance function for the sampled index timepoints\n", + " k_fb = [] # vector of covariance function values for each index time point of the function with the intersection time point = K(T_f,t_b)\n", + " for t in T_f:\n", + " k_fb.append(K.forward(t,bifurcation_t).detach().numpy()[0][0])\n", + " k_fb = torch.tensor(k_fb).unsqueeze(0)\n", + " k_bb = K.forward(bifurcation_t,bifurcation_t).detach().numpy()[0][0] # variance of the intersection point \n", + " K_fg = torch.matmul(torch.transpose(k_fb,0,1),k_fb)/torch.tensor(k_bb)\n", + "\n", + " branching_kernel = gpytorch.lazy.NonLazyTensor(K_ff - K_fg)\n", + " \n", + " K_diagonal_block = K_ff\n", + " K_non_diagonal_block = K_fg\n", + " \n", + " # joint branching kernel -- the block kernel representation for the joint distribution of the 2 functions:\n", + " rows = []\n", + " for i in range(0,n_functions):\n", + " row = []\n", + " for j in range(0,n_functions):\n", + " if(i==j):\n", + " row.append(K_diagonal_block)\n", + " else:\n", + " row.append(K_non_diagonal_block)\n", + " rows.append(torch.hstack(row))\n", + " joint_branching_kernel = torch.vstack(rows) \n", + "\n", + " if(plot_kernels):\n", + " fig, axs = plt.subplots(ncols=2,nrows=1,figsize=(15,5), gridspec_kw={'wspace':0.3},constrained_layout=False)\n", + " axs[0].set_title('Branching kernel for GP')\n", + " sb.heatmap(branching_kernel.evaluate().detach().numpy(),ax=axs[0]) # the covariance function (kernel) for sampling a function under the constraint that multiple samples will intersect at the point\n", + " axs[1].set_title('joint Branching kernel')\n", + " sb.heatmap(joint_branching_kernel.detach().numpy(), ax=axs[1]) \n", + " \n", + " return branching_kernel\n", + "\n", + "def simulate_branching_process(sampled_functions, T_f, σ = 0.1): # generate random data points according to the Hierarhical GP branching process\n", + " simulated_data = []\n", + " for f in sampled_functions[0:len(sampled_functions)]:\n", + " sample = gpytorch.distributions.MultivariateNormal(f, (σ**2)*torch.eye(len(f))).rsample()\n", + " simulated_data.append(sample)\n", + " return simulated_data\n", + "\n", + "def get_datasets(T_f, simulated_data, sampled_functions, MEAN_DIFF_THRESHOLD = 0.5):\n", + " datasets = []\n", + " for i in range(len(simulated_data)):\n", + " for j in range(len(simulated_data)):\n", + " if(i==j):\n", + " continue\n", + " x = simulated_data[i].detach().numpy()\n", + " y = simulated_data[j].detach().numpy()\n", + " if( np.abs(np.mean(x[0])-np.mean(y[0]))>MEAN_DIFF_THRESHOLD and np.abs(np.mean(x[len(x)-1])-np.mean(y[len(y)-1]))>MEAN_DIFF_THRESHOLD ): \n", + " #if(mean_diff > MEAN_DIFF_THRESHOLD):\n", + " datasets.append([x,y])\n", + " continue\n", + " return datasets\n", + "\n", + "def plot_crossing_pairs(simulated_datasets, T_f, figsize=(20,60) ):\n", + " l = len(simulated_datasets)\n", + " ncol = 4\n", + " nrow = int(np.ceil((l)/ncol)) \n", + " plt.subplots(nrow,ncol,figsize=figsize)\n", + " k=1\n", + " print(nrow,ncol)\n", + " for i in range(len(simulated_datasets)):\n", + " plt.subplot(nrow,ncol,k)\n", + " sb.scatterplot(T_f,simulated_datasets[i][0], color='midnightblue')\n", + " sb.scatterplot(T_f,simulated_datasets[i][1], color='forestgreen')\n", + " k=k+1\n", + "\n", + "def run_crossing_simulator(T_f, BIFURCATION_POINT = 0.5, n_simulations = 5, σ = 0.1,MEAN_DIFF_THRESHOLD=0.5):\n", + " \n", + " branching_kernel = get_branching_kernel(T_f, BIFURCATION_POINT = BIFURCATION_POINT)\n", + " \n", + " MVN = gpytorch.distributions.MultivariateNormal(mean = torch.zeros(len(T_f)),covariance_matrix = branching_kernel)\n", + " sampled_functions = []\n", + " print('n_sims = ', n_simulations)\n", + " for i in range(0,n_simulations):\n", + " function = MVN.rsample()\n", + " sb.scatterplot(T_f.numpy(),function.detach().numpy() )\n", + " sampled_functions.append(function)\n", + " \n", + " simulated_data = simulate_branching_process(sampled_functions, T_f, σ)\n", + " return get_datasets(T_f, simulated_data, sampled_functions,MEAN_DIFF_THRESHOLD )\n", + " \n", + "#cross_simulated_datasets = run_crossing_simulator(T_f, n_simulations=25,σ=0.2, MEAN_DIFF_THRESHOLD=1.0)\n", + "#plot_crossing_pairs(cross_simulated_data[0:20],T_f, figsize=(20,10))" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "drawn-enlargement", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5 4\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_crossing_pairs(cross_simulated_datasets[0:20],T_f, figsize=(15,15))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "statistical-beijing", + "metadata": {}, + "outputs": [], + "source": [ + "#import pickle\n", + "#pickle.dump(matched_datasets, open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/match_simulated_datasets.pkl', 'wb')) \n", + "#pickle.dump(divergence_simulated_datasets, open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/divergence_simulated_datasets.pkl', 'wb')) \n", + "#pickle.dump(convergence_simulated_datasets, open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/convergence_simulated_datasets.pkl', 'wb')) \n", + "#pickle.dump(cross_simulated_datasets, open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/cross_simulated_datasets.pkl', 'wb')) " + ] + }, + { + "cell_type": "markdown", + "id": "comparable-booking", + "metadata": {}, + "source": [ + "### Running G2G on simulated data and evaluating" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "higher-might", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "35b71b96f83645e2b867b9a5087fbb44", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/100 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "run_diveConv_experiment(aligner_convergence, divergence = False)" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "pointed-wagner", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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5x07pRXFT0ZYk7UiSlVW1zd9E8S/FSZLUAj27cKn5WtdhIya/vaqu6UU945Hkq8BeIya/rqpW96KeqZLkIjpf9ev251X1l72oR5I0dj0L9Ko6rVfbnqyq+ule1zAdquqcXtcgSZoYh9wlSWoBA12SpBYw0CVJagEDXZKkFjDQJUlqAf/etvrOjBkzoB7vdRlbmTdvXq9LkLSbM9DVd/baay+2bHqk12VsxdunSuo1h9wlSWoBA12SpBYw0CVJagEDXZKkFjDQJUlqAQNdkqQWMNAlSWoBA12SpBYw0CVJagEDXZKkFjDQJUlqAf+Wu/rS5sfDe4f2nVQb3984k+dNUT2S1GsGuvrOQQcdxP3338+sOXMm1c7z8C5pktrDQFffueyyy3pdgiQ95XgOXZKkFjDQJUlqAQNdkqQWMNAlSWoBA12SpBYw0CVJagEDXZKkFjDQJUlqAQNdkqQWMNAlSWoBA12SpBYw0CVJagFvziJJkzQ4OMi6desm3c769esBmLOdOwnOmzePRYsWTXobai8DXZImad26ddx8+82w/yQbeqDz457cs/X0+yfZrnYLBrokTYX9YcvCLZNqYsYNnbOgI9sZni7tiO8SSZJawECXJKkFDHRJklrAQJckqQUMdEmSWsBAlySpBQx0SZJawECXJKkFDHRJklrAQJckqQUMdEmSWsBAl9RXBgcHGRwc7HUZfcl9127enEVSX5mK25Turtx37eYRuiRJLWCgS5LUAga6JEktYKBLktQCBrokSS1goEuS1AIGuiRJLWCgS5LUAga6JEktYKBLktQCBrokSS2wywM9ycYdzJub5Ixp3PabkvzWBNedm+QbU1DDe5KcPNl2dtD+4iR772SZdyc5bxxtjvqaSZKeGp5qR+hzgXEFepKZY122qi6pqr8ab1FTqar+qKr+YRo3sRjYYaBLu9ry5ctZtWrVE89XrVrF8uXLR52udjn//PNZsWLFE89XrFjB+eef37N6pvt916v+Tuhua0l+E1gEPA34KnA28ADw58DLgYeBV1bVXUkOA5Y32/riTpq+AHh+kluATwCDzbSFwF7ARVX1F0kWAkuADcD8JGcDS4G7gPnAFcBq4FxgNvCrVfXtJO8GNlbVB5Pc0NR+ErA/8D+r6sYkc4G/BvZpanpzVf3rGPbJmcCvAjOBo4D/1eyf1wGbgZdV1X1JLgeurqrPJrkAeAXwGHBtVZ3XzH8YOAJ4DvAG4PXACcBXq+rMZnsfBY5t+vfZqlqSZBFwMHB9knur6qQkLwX+pKnr3qr6xabkI5t9cCiwrKrGdE/FJOcDr6HzelzZbHcu8AXgX4CfAf6Dzuv/8FjaVPsdccQRLFmyhKVLlwKM6fFo1q9fz8MPP8yiRYumt+hxWLt2LWyZxg1s7Gxjsn1eu3Yts2fPnqKixm5gYICLL774iecXX3wxZ5999i6vY9iO3o9ToVf9HXegJ3k+cDpwYlU9muRi4DfoBOBXquqdSf4U+B3gvXRC/qNV9VdJztlJ8+8AzquqlzfbOgt4oKqOTbIXcFOSa5tljwOOqqrvNgH/QuD5wH3Ad4CPV9VxSc4F3kLnyHWb/jfLvIzOB4STgbuBl1TVpiSHA58GBsa4e44CjgFmAeuAt1fVMUk+BPwWsGx4wSTPAk4DjqiqSrJ/VzvPBF5MJ+z/HjgR+G3g60nmV9UtwDubDwgzgeuSHF1Vg0neBpxUVfcmeTbwMeDnm/30rK5tHEHnw8x+wDeTfLSqHt1R55KcAhxOZ98HuCrJzwPfb6a/tqp+J8lngF8DPrmdNs4CzgI49NBDd7gz1R4LFixg6dKlLF68GIBly5axYMECgFGnqz1OP/10AC666CIAzjnnnCem9cKO3o9ToVf9ncgR+i8CL6ITLtA5QrwbeAS4ullmJfCS5vGJdH65Q+fI98JxbOsU4Ogkr2qeP4NOcDwCfK2qvtu17NeragNAkm8Dw8G/mk5wbc8VXfXObR7vCXwkyXzgceB546j3+qp6EHgwyQN0wni4hqNHLPtfwCbg40k+z5P7DuDvm5BfDdxVVaubft3e1HkL8JomHPcADgKOBG4bsY3jgX8e3k9VdV/XvM9X1WZgc5K7gQOB9Tvp3ynNv5ub5/vSeT2+D3y3+aABW+/PrVTVpcClAAMDA7WT7UnbmDNnDgCDg2MaVNolFi1axM3/cfPOF5yofeHwQw6fdJ+fSqMamnoTCfQAn6iqP9hqYnJeVQ3/gn58RNsT/cUd4C1Vdc2IbS0EfjRi2c1dj7d0Pd/C6P0cXqa73rfSGbp/IZ1rDDaNo94x11BVjyU5js4HpF8H3kznqJwR641sc4/mNMZ5wLFV9cNmmH7WduoJo+/77nZHvl6jCfD+qvqLrSZ2htxHtrfrx/X0lLVq1SqWLFnCsmXLgG2H2UdO9yi9XVasWMHFF1/MOed0BmmHh6N7dZQ+2vtxqt53vervRAL9OuDvknyoqu5uhnH328HyN9EJrE/SGZrfkQdHtHUN8LtJ/rEZ3n8enfOz0+kZwPqq2pLk9XTOPU+5JPsCe1fV/03yFTpD9GP1dDofaB5IciBwKnBDM294H94LfBm4KMlhw0PuI47Sx+sa4I+TfKqqNiY5BNjhML0EsGbNmq1+YS5dupQ1a9Y88XjkdAO9XYaGhjj77LO3CrShoaGeBfpo78epet/1qr/jDvSquiPJu4Brk8yg8wt9R+fGzwWWN+eyP7eT5m8DHktyK3A5nfPvc4FV6Yzv30PnwrPpdDHwuSSvBq5n25GAqbIfnQ9Gs+gc+b51rCtW1a1JbgZup3O9wE1dsy8FvpBkQ3NR3FnAFc1rdTdPngoZt6q6trmG4svN6ZaNwG/SOSKXRnXGGVt/eWXBggXb/eU52nT1tw984ANbPT/99NN7eg59rO/HiepVf/PkKLm0aw0MDNTQ0FCvy1CfGT4P/FQ8h75l4eQudZ9xQ+ebxCPbmXHDDI455JgpO4f+VNp3Gr8kK6tqm4u1n2rfQ5ckSRMwoe+hT1aSF9C54r3b5qr66V7UMx5Jfoltr9T/blWd1ot6pkqSH6NzfcRIv1hV/7mr65EkjU9PAr35Gtb8Xmx7spor7q/Z6YJ9pgnt+b2uQ5I0MQ65S5LUAga6JEktYKBLktQCBrokSS1goEuS1AI9ucpdkiZq3rx5vS6hb7nv2s1Al9RXvGPYxLnv2s0hd0mSWsBAlySpBQx0SZJawECXJKkFDHRJklrAQJckqQUMdEmSWsBAlySpBQx0SZJawECXJKkFDHRJklrAQJckqQW8OYskTYX7YcYNkzxGur/zY5t27gcOmVzTaj8DXZImaapuS7q+1gMw55A5W884xFufaucMdEmaJG9LqqcCz6FLktQCBrokSS1goEuS1AIGuiRJLWCgS5LUAqmqXteg3VSSe4B/n+DqBwD3TmE5/cA+7x7s8+5hMn1+TlU9e+REA119KclQVQ30uo5dyT7vHuzz7mE6+uyQuyRJLWCgS5LUAga6+tWlvS6gB+zz7sE+7x6mvM+eQ5ckqQU8QpckqQUMdEmSWsBAV99J8tIk30yyLsk7el3PdEhyWZK7k3yja9qzknwpydrm5zN7WeNUSvKTSa5P8m9Jbk9ybjO9zX2eleRrSW5t+ry0md7aPg9LMjPJzUmubp63us9JvpdkdZJbkgw106a8zwa6+kqSmcBFwKnAkcBrkxzZ26qmxeXAS0dMewdwXVUdDlzXPG+Lx4Dfq6rnA8cD5zSva5v7vBl4cVW9EJgPvDTJ8bS7z8POBf6t6/nu0OeTqmp+13fPp7zPBrr6zXHAuqr6TlU9AvwN8Moe1zTlquqfgftGTH4l8Inm8SeAX92VNU2nqtpQVauaxw/S+WV/CO3uc1XVxubpns2/osV9BkgyB/hl4ONdk1vd51FMeZ8NdPWbQ4AfdD1f30zbHRxYVRugE4DAj/e4nmmRZC5wDPBVWt7nZuj5FuBu4EtV1fo+A8uA3we2dE1re58LuDbJyiRnNdOmvM97TLYBaRfLdqb53cuWSLIv8DlgcVX9V7K9l7s9qupxYH6S/YErkxzV45KmVZKXA3dX1cokC3tczq50YlXdmeTHgS8lWTMdG/EIXf1mPfCTXc/nAHf2qJZd7a4kBwE0P+/ucT1TKsmedML8U1V1RTO51X0eVlX3AzfQuW6izX0+EXhFku/ROV324iSfpN19pqrubH7eDVxJ59ThlPfZQFe/+TpweJLDkjwN+HXgqh7XtKtcBby+efx64O96WMuUSudQ/H8D/1ZVf9Y1q819fnZzZE6S2cDJwBpa3Oeq+oOqmlNVc+n83/3HqvpNWtznJPsk2W/4MXAK8A2moc/+pTj1nSQvo3MebiZwWVW9r7cVTb0knwYW0rnF4l3AEuD/AJ8BDgW+D7y6qkZeONeXkvwscCOwmifPrf4hnfPobe3z0XQuhppJ5+DqM1X1niQ/Rkv73K0Zcj+vql7e5j4n+Sk6R+XQOc29vKreNx19NtAlSWoBh9wlSWoBA12SpBYw0CVJagEDXZKkFjDQJUlqAQNdkqQWMNAlSWqB/w+VSt3dYB3d4AAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "run_diveConv_experiment(aligner_divergence, divergence = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "played-guitar", + "metadata": {}, + "outputs": [], + "source": [ + "# for cross pattern alignment validation\n", + "def get_match_len(al_str):\n", + " \n", + " first_m_idx = al_str.find('M')\n", + " first_w_idx = al_str.find('W')\n", + " first_v_idx = al_str.find('V')\n", + " temp =np.asarray([first_m_idx, first_w_idx, first_v_idx]) \n", + " temp[temp<0] = 10000 # some max number to filter out negative values when there is an absence of a state\n", + " # find which comes first and start counting matches from there\n", + " c = temp[ np.argmin(temp)]\n", + " match_idx = c\n", + " \n", + " match_len = 0\n", + " while(al_str[c] in ['M','W','V']):\n", + " match_len+=1\n", + " c+=1\n", + " \n", + " return match_len, match_idx\n", + "\n", + "def evaluate_crossing_alignments(aligner): \n", + "\n", + " fwd_match_len_dist = []\n", + " bwd_match_len_dist = []\n", + " middle_indel_len_dist = []\n", + " fwd_match_idx_dist = []\n", + " bwd_match_idx_dist = []\n", + " \n", + " for i in range(len(aligner.gene_list)):\n", + " al_str = aligner.results[i].alignment_str\n", + " #print(aligner.results[i].gene)\n", + " \n", + " # fwd direction\n", + " fwd_match_len, fwd_match_idx = get_match_len(al_str)\n", + " fwd_match_len_dist.append(fwd_match_len)\n", + " fwd_match_idx_dist.append(fwd_match_idx)\n", + " \n", + " #print(al_str, fwd_match_len, fwd_match_idx)\n", + " \n", + " # bwd direction \n", + " bwd_match_len, bwd_match_idx = get_match_len(al_str[::-1])\n", + " bwd_match_len_dist.append(bwd_match_len)\n", + " bwd_match_idx_dist.append(bwd_match_idx)\n", + " \n", + " #print(al_str, bwd_match_len, bwd_match_idx)\n", + " \n", + " if(len(al_str) - (fwd_match_idx + fwd_match_len) == bwd_match_idx): # if this is true --> there are no indels occured in the middle\n", + " continue\n", + " \n", + " # if indels, occured the length of that part from fwd \n", + " #print(fwd_match_idx, fwd_match_len, len(al_str))\n", + " c = fwd_match_idx + fwd_match_len\n", + " middle_indel_len = 0\n", + " # print(al_str[c])\n", + " while(c" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "run_crossing_experiment(aligner_cross)" + ] + }, + { + "cell_type": "markdown", + "id": "promising-affairs", + "metadata": {}, + "source": [ + "# Run G2G for all patterns together" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "disciplinary-argument", + "metadata": {}, + "outputs": [], + "source": [ + "with open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/aligner_all.pkl', 'rb') as f:\n", + " aligner = pickle.load(f)\n", + "with open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/match_simulated_datasets.pkl', 'rb') as f:\n", + " matched_datasets = pickle.load(f)\n", + "with open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/divergence_simulated_datasets.pkl', 'rb') as f:\n", + " divergence_simulated_datasets = pickle.load(f)\n", + "with open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/convergence_simulated_datasets.pkl', 'rb') as f:\n", + " convergence_simulated_datasets = pickle.load(f)\n", + "with open('/nfs/team205/ds40/G2G/SimulatedDataWithGP/cross_simulated_datasets.pkl', 'rb') as f:\n", + " cross_simulated_datasets = pickle.load(f)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "formal-potter", + "metadata": {}, + "outputs": [], + "source": [ + "pattern_labels = list(np.repeat('Divergence', len(divergence_simulated_datasets))) + list(np.repeat('AllMatch', len(matched_datasets))) + list(np.repeat('Convergence', len(convergence_simulated_datasets))) + list(np.repeat('Crossing', len(cross_simulated_datasets)))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "upper-infection", + "metadata": {}, + "outputs": [], + "source": [ + "cross_simulated_datasets = cross_simulated_datasets[0:100] \n", + "simulated_data = divergence_simulated_datasets + matched_datasets + convergence_simulated_datasets + cross_simulated_datasets\n", + "T_f = torch.tensor(np.linspace(0,1,300,dtype=np.float64)) # specify time points " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "universal-cream", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ef7590946482423e8e494bcfeaabd5e5", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/400 [00:00" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ClusterUtils.run_hierarchical_clustering(aligner_all)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "impressed-ability", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "p = sb.clustermap(aligner_all.DistMat,cmap='viridis', method='ward',yticklabels=False,xticklabels=False)\n", + "p.ax_row_dendrogram.set_visible(False) " + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "caroline-washington", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch',\n", + " 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch', 'AllMatch'],\n", + " dtype='1):\n", + " Pure.append('N')\n", + " else:\n", + " Pure.append('Y')\n", + "\n", + " df = pd.DataFrame([n_genes, AllM, Div, Conv, Cross, Pure]).transpose()\n", + " df.columns = ['nGenes', 'AllMatch','Divergence','Convergence','Crossing','Pure_cluster']\n", + " return df " + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "geological-greek", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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nGenesAllMatchDivergenceConvergenceCrossingPure_cluster
0130.00.01.00.0Y
1190.00.00.01.0Y
2150.00.01.00.0Y
3110.00.01.00.0Y
430.01.00.00.0Y
550.00.00.20.8N
6130.01.00.00.0Y
740.01.00.00.0Y
840.00.01.00.0Y
9120.01.00.00.0Y
10170.01.00.00.0Y
11100.00.00.01.0Y
1220.01.00.00.0Y
1360.00.00.01.0Y
14130.01.00.00.0Y
15250.00.01.00.0Y
1630.00.00.01.0Y
1740.00.00.01.0Y
18100.00.01.00.0Y
1970.01.00.00.0Y
2020.00.00.01.0Y
2160.00.00.01.0Y
2230.00.01.00.0Y
23180.00.01.00.0Y
2460.01.00.00.0Y
2530.01.00.00.0Y
2650.00.00.01.0Y
2740.00.00.01.0Y
28100.00.00.01.0Y
2920.00.00.01.0Y
3070.00.00.01.0Y
311001.00.00.00.0Y
3280.00.00.01.0Y
3370.00.00.01.0Y
34130.01.00.00.0Y
3520.01.00.00.0Y
3630.00.00.01.0Y
3750.01.00.00.0Y
\n", + "
" + ], + "text/plain": [ + " nGenes AllMatch Divergence Convergence Crossing Pure_cluster\n", + "0 13 0.0 0.0 1.0 0.0 Y\n", + "1 19 0.0 0.0 0.0 1.0 Y\n", + "2 15 0.0 0.0 1.0 0.0 Y\n", + "3 11 0.0 0.0 1.0 0.0 Y\n", + "4 3 0.0 1.0 0.0 0.0 Y\n", + "5 5 0.0 0.0 0.2 0.8 N\n", + "6 13 0.0 1.0 0.0 0.0 Y\n", + "7 4 0.0 1.0 0.0 0.0 Y\n", + "8 4 0.0 0.0 1.0 0.0 Y\n", + "9 12 0.0 1.0 0.0 0.0 Y\n", + "10 17 0.0 1.0 0.0 0.0 Y\n", + "11 10 0.0 0.0 0.0 1.0 Y\n", + "12 2 0.0 1.0 0.0 0.0 Y\n", + "13 6 0.0 0.0 0.0 1.0 Y\n", + "14 13 0.0 1.0 0.0 0.0 Y\n", + "15 25 0.0 0.0 1.0 0.0 Y\n", + "16 3 0.0 0.0 0.0 1.0 Y\n", + "17 4 0.0 0.0 0.0 1.0 Y\n", + "18 10 0.0 0.0 1.0 0.0 Y\n", + "19 7 0.0 1.0 0.0 0.0 Y\n", + "20 2 0.0 0.0 0.0 1.0 Y\n", + "21 6 0.0 0.0 0.0 1.0 Y\n", + "22 3 0.0 0.0 1.0 0.0 Y\n", + "23 18 0.0 0.0 1.0 0.0 Y\n", + "24 6 0.0 1.0 0.0 0.0 Y\n", + "25 3 0.0 1.0 0.0 0.0 Y\n", + "26 5 0.0 0.0 0.0 1.0 Y\n", + "27 4 0.0 0.0 0.0 1.0 Y\n", + "28 10 0.0 0.0 0.0 1.0 Y\n", + "29 2 0.0 0.0 0.0 1.0 Y\n", + "30 7 0.0 0.0 0.0 1.0 Y\n", + "31 100 1.0 0.0 0.0 0.0 Y\n", + "32 8 0.0 0.0 0.0 1.0 Y\n", + "33 7 0.0 0.0 0.0 1.0 Y\n", + "34 13 0.0 1.0 0.0 0.0 Y\n", + "35 2 0.0 1.0 0.0 0.0 Y\n", + "36 3 0.0 0.0 0.0 1.0 Y\n", + "37 5 0.0 1.0 0.0 0.0 Y" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aligner_all = cluster_stat(aligner_all)\n", + "df_aligner_all\n" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "id": "combined-efficiency", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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nGenesAllMatchDivergenceConvergenceCrossingPure_cluster
550.00.00.20.8N
\n", + "
" + ], + "text/plain": [ + " nGenes AllMatch Divergence Convergence Crossing Pure_cluster\n", + "5 5 0.0 0.0 0.2 0.8 N" + ] + }, + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_aligner_all[df_aligner_all['Pure_cluster'] == 'N'] " + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "photographic-sight", + "metadata": {}, + "outputs": [], + "source": [ + "df_aligner_all.to_csv('df_aligner_all.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "still-mountain", + "metadata": {}, + "outputs": [], + "source": [ + "# E.g. of extreme divergence case where g2g misses many matches at the beginning in the non constant std (default) mode -- this gives correct alignment when const std is used \n", + "#aligner_all.results[81].plotTimeSeries(aligner_all, plot_cells=True)\n", + "#aligner_all.results[81].plotTimeSeriesAlignment() " + ] + }, + { + "cell_type": "markdown", + "id": "cultural-delay", + "metadata": {}, + "source": [ + "### Exploring Clustering output for n_clusters = 4 " + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "bulgarian-vacation", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_cluster_patterns(E):\n", + " # agglomerative clustering\n", + " clustering = AgglomerativeClustering(n_clusters=4, linkage='ward', affinity='euclidean').fit(E)\n", + " k = pd.DataFrame([pattern_labels,clustering.labels_]).transpose()\n", + " k.columns = ['pattern','cluster_id']\n", + " print(np.unique(k[k.cluster_id==0]['pattern'], return_counts=True)) \n", + " print(np.unique(k[k.cluster_id==1]['pattern'], return_counts=True)) \n", + " print(np.unique(k[k.cluster_id==2]['pattern'], return_counts=True))\n", + " print(np.unique(k[k.cluster_id==3]['pattern'], return_counts=True)) \n", + "\n", + " k['COUNTER'] = 1\n", + " k = k.groupby(['cluster_id','pattern'])['COUNTER'].sum().unstack()\n", + " k = k.fillna(0)\n", + " p = k.apply(lambda x: x*100/sum(x), axis=1).plot(kind='bar',stacked=True, color=sb.color_palette('tab20', 20))\n", + " p.legend(loc='center left', bbox_to_anchor=(1.0, 0.85), ncol=1)\n", + " plt.title('Agglomerative Clustering')\n", + " # kmeans clustering\n", + " clustering = KMeans(n_clusters=4, random_state=0).fit(E)\n", + " k = pd.DataFrame([pattern_labels,clustering.labels_]).transpose()\n", + " k.columns = ['pattern','cluster_id']\n", + " print(np.unique(k[k.cluster_id==0]['pattern'], return_counts=True)) \n", + " print(np.unique(k[k.cluster_id==1]['pattern'], return_counts=True)) \n", + " print(np.unique(k[k.cluster_id==2]['pattern'], return_counts=True))\n", + " print(np.unique(k[k.cluster_id==3]['pattern'], return_counts=True)) \n", + "\n", + " k['COUNTER'] = 1\n", + " k = k.groupby(['cluster_id','pattern'])['COUNTER'].sum().unstack()\n", + " k = k.fillna(0)\n", + " p = k.apply(lambda x: x*100/sum(x), axis=1).plot(kind='bar',stacked=True, color=sb.color_palette('tab20', 20))\n", + " p.legend(loc='center left', bbox_to_anchor=(1.0, 0.85), ncol=1)\n", + " plt.title('K-means Clustering')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "fifty-highland", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(array(['Convergence', 'Crossing'], dtype=object), array([99, 42]))\n", + "(array(['Convergence', 'Crossing', 'Divergence'], dtype=object), array([ 1, 58, 4]))\n", + "(array(['Divergence'], dtype=object), array([96]))\n", + "(array(['AllMatch'], dtype=object), array([100]))\n", + "(array(['AllMatch'], dtype=object), array([100]))\n", + "(array(['Convergence', 'Crossing'], dtype=object), array([99, 13]))\n", + "(array(['Crossing', 'Divergence'], dtype=object), array([ 6, 97]))\n", + "(array(['Convergence', 'Crossing', 'Divergence'], dtype=object), array([ 1, 81, 3]))\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plot_cluster_patterns(aligner_all.E)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "greater-webmaster", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "environment": { + "kernel": "python3", + "name": "pytorch-gpu.1-9.m82", + "type": "gcloud", + "uri": "gcr.io/deeplearning-platform-release/pytorch-gpu.1-9:m82" + }, + "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": "3.8.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/run_match_accuracy.py b/notebooks/run_match_accuracy.py new file mode 100644 index 0000000..c4fa72a --- /dev/null +++ b/notebooks/run_match_accuracy.py @@ -0,0 +1,155 @@ +import anndata +import numpy as np +import pandas as pd +import seaborn as sb +import scanpy as sc +import scipy.stats as stats +import matplotlib.pyplot as plt +import seaborn as sns +from tabulate import tabulate +import os,sys,inspect +import pickle +# setting the path to source +# sys.path.insert(0,os.path.dirname(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))) + '/source') +sys.path.append('../source') + +# new source imports +import OrgAlign as orgalign +import Main +import MyFunctions +import TimeSeriesPreprocessor +# import PathwayAnalyser + +import warnings +warnings.filterwarnings("ignore") + +from sklearn.preprocessing import normalize +import multiprocessing + +import argparse +parser = argparse.ArgumentParser() +parser.add_argument("mm_type", + type=str) +parser.add_argument("mm_size", + type=int, + help="path to working directory") +parser.add_argument("--save_aligner", + action='store_true') +args = parser.parse_args() + +mm_type = args.mm_type +mm_size = args.mm_size +save_aligner = args.save_aligner + +def simulate_alignment2(adata, true_align_string, + frac_query = 0.5, + seed=42352, + gene = 'Msi1', + n_stds = 3): + np.random.seed(seed) + n_bins=len(true_align_string) + adata.obs['time_bins'] = pd.cut(adata.obs['time'], n_bins).astype('category').cat.codes + q_cells= np.array([]) + + ## Split in ref and query + for i,b in enumerate(true_align_string): + n_cells = sum(adata.obs['time_bins'] == i) + q_cells_bin = np.random.choice(adata.obs_names[adata.obs['time_bins'] == i], size=int(np.round(n_cells*frac_query)), replace=False) + q_cells = np.hstack([q_cells, q_cells_bin]) + + adata_query = adata[q_cells].copy() + adata_ref = adata[~adata.obs_names.isin(q_cells)].copy() + + ## Calculate shift for insertion + X_query = adata_query.X.copy() + X_gene = X_query[:,adata_query.var_names == gene] + # ins_shift = n_stds*X_gene.std() + + ## Find max bin for insertion (using interpolated mean) + gene_list = adata_ref.var_names + aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, 40) + aligner.WEIGHT_BY_CELL_DENSITY = True + aligner.WINDOW_SIZE = 0.1 + al_obj = aligner.align_single_pair(gene) + max_bin = np.array(al_obj.S.intpl_means).argmax() + X_insert = adata_query[adata_query.obs['time_bins'] == max_bin, gene].X + mean_shift = X_insert.mean() + n_stds * X_insert.std() + std_shift = X_insert.std() + + for i,b in enumerate(true_align_string): + bcells = adata_query.obs_names[adata_query.obs['time_bins'] == i] + if b == 'D': ## delete cells + adata_query = adata_query[~adata_query.obs_names.isin(bcells)].copy() + if b == 'I': # change values for gene expression + X_gene = X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene] + X_ins = np.random.normal(loc=mean_shift, scale=std_shift, size=len(X_gene)) + X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene] = X_ins + adata_query.X = X_query.copy() + + # Algorithm expect time spanning from 0 to 1 + adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_ref.obs['time'].values) + adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_query.obs['time'].values) + return(adata_ref, adata_query) + +def make_align_string(mm_type, mm_start = 10, n_bins = 50, mm_size=10): + mm_ixs = range(mm_start, mm_start+mm_size) + true_align_string = ''.join([mm_type if i in mm_ixs else 'M' for i in range(n_bins)]) + return(true_align_string) + +def alignment_viz(aligner, al_obj): + # plt.subplots(1,2,figsize=(10,3)) + # plt.subplot(1,2,1) + # al_obj.plotTimeSeries(aligner, plot_cells=True) + # plt.subplot(1,2,2) + # al_obj.plotTimeSeriesAlignment() + print(al_obj.al_visual) + +def predict_alignment(adata_ref, adata_query, gene, n_bins=50): + gene_list = adata_ref.var_names + aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, n_bins) + aligner.WEIGHT_BY_CELL_DENSITY = True + aligner.WINDOW_SIZE = 0.1 + al_obj = aligner.align_single_pair(gene) + alignment_viz(aligner, al_obj) + return(al_obj) + +def get_ref_aling_str(al_obj): + ref_ixs = (al_obj.al_visual.split('\n')[1]).split(' Reference')[0] + al_str = al_obj.alignment_str + ref_aling_str = ''.join([al_str[i] for i,p in enumerate(ref_ixs) if p!=' ' and al_str[i] != 'V']) + return(ref_aling_str) + + +def run_match_accuracy(params): + adata, gene, align_params, save_aligner = params + match_dict = {'D':'mismatch', 'I':'mismatch', 'M':'match', 'V':'match', 'W':'match'} + true_align_string = make_align_string(**align_params) + rdata, qdata = simulate_alignment2(adata, true_align_string, gene=gene) + al_obj = predict_alignment(rdata, qdata, gene=gene) + if save_aligner: + with open(f'./data/aligner_{gene}.{align_params["mm_type"]}.size{str(align_params["mm_size"])}.pkl', 'wb') as f: + pickle.dump(al_obj, f) + true_ref_align_str = get_ref_aling_str(al_obj) + + # get mismatch accuracy + outcome_df = pd.DataFrame([(i, match_dict[true_align_string[i]], match_dict[c]) for i,c in enumerate(get_ref_aling_str(al_obj) )], + columns=['position', 'true', 'predicted'] + ) + outcome_df['correct'] = outcome_df['true'] == outcome_df['predicted'] + accuracy = outcome_df['correct'].sum()/outcome_df['correct'].shape[0] + outcome_df['accuracy'] = accuracy + outcome_df['gene'] = gene + for p in align_params.keys(): + outcome_df[p] = align_params[p] + outcome_df = outcome_df[list(align_params.keys()) + ['gene', 'accuracy']].drop_duplicates() + return(outcome_df) + +adata = sc.read_h5ad("./data/match_accuracy_pancreas.h5ad") +match_outcome = pd.DataFrame() +pool = multiprocessing.Pool(7) +outcomes_g = pool.map(run_match_accuracy, + [(adata, g, {'mm_type':mm_type, 'n_bins':50, 'mm_start':0, 'mm_size':mm_size}, args.save_aligner) for g in adata.var_names[adata.var['simulation_gene']]]) +pool.close() +outcomes_g = pd.concat(outcomes_g) +match_outcome = pd.concat([match_outcome, outcomes_g]) +match_outcome.to_csv(f'./data/match_accuracy_pancreas.{mm_type}.size{str(mm_size)}.csv') \ No newline at end of file diff --git a/notebooks/simulations.ipynb b/notebooks/simulations.ipynb new file mode 100644 index 0000000..1980e2f --- /dev/null +++ b/notebooks/simulations.ipynb @@ -0,0 +1,1498 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "polished-fifteen", + "metadata": {}, + "source": [ + "# Simulations - splitting real data" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "reasonable-adelaide", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The autoreload extension is already loaded. To reload it, use:\n", + " %reload_ext autoreload\n" + ] + } + ], + "source": [ + "%load_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "liberal-evolution", + "metadata": {}, + "outputs": [], + "source": [ + "import anndata\n", + "import numpy as np\n", + "import pandas as pd\n", + "import seaborn as sb\n", + "import scanpy as sc\n", + "import scipy.stats as stats\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from tabulate import tabulate\n", + "import os,sys,inspect\n", + "# setting the path to source\n", + "# sys.path.insert(0,os.path.dirname(os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))) + '/source') \n", + "sys.path.append('../source') \n", + "\n", + "# new source imports \n", + "import OrgAlign as orgalign\n", + "import Main\n", + "import MyFunctions \n", + "import TimeSeriesPreprocessor\n", + "# import PathwayAnalyser\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")\n", + "\n", + "from sklearn.preprocessing import normalize\n", + "import multiprocessing" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "antique-scientist", + "metadata": {}, + "outputs": [], + "source": [ + "import scanpy as sc\n", + "import cellrank as cr\n", + "from cellrank.datasets import pancreas_preprocessed" + ] + }, + { + "cell_type": "markdown", + "id": "advised-indianapolis", + "metadata": {}, + "source": [ + "## Test on pancreas dataset" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "relevant-speaker", + "metadata": {}, + "outputs": [], + "source": [ + "# pip install git+https://github.com/theislab/cellrank" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "forty-purpose", + "metadata": {}, + "outputs": [], + "source": [ + "adata = pancreas_preprocessed()\n", + "adata.obs['time'] = adata.obs['dpt_pseudotime'].copy()\n", + "adata.X = adata.X.toarray()" + ] + }, + { + "cell_type": "markdown", + "id": "monthly-saturn", + "metadata": {}, + "source": [ + "Get beta lineage drivers using Cellrank" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "quality-macedonia", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b27af64022ce46dbac1d9d72d71ebefb", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | 0/2531 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sc.pl.umap(adata, color=['dpt_pseudotime', 'clusters'])" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "needed-burst", + "metadata": {}, + "outputs": [], + "source": [ + "adata.var = pd.concat([adata.var, beta_drivers], axis=1)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "breathing-comparative", + "metadata": {}, + "outputs": [], + "source": [ + "adata.var['simulation_gene'] = beta_drivers['Beta_qval'] < 0.01" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "bulgarian-shadow", + "metadata": {}, + "outputs": [], + "source": [ + "## Save object\n", + "adata.write_h5ad('./data/match_accuracy_pancreas.h5ad')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "analyzed-amendment", + "metadata": {}, + "outputs": [], + "source": [ + "adata = sc.read_h5ad('./data/match_accuracy_pancreas.h5ad')" + ] + }, + { + "cell_type": "markdown", + "id": "parental-amino", + "metadata": { + "tags": [] + }, + "source": [ + "## Match/mismatch accuracy" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "british-favorite", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'TimeSeriesPreprocessor.Utils'; 'TimeSeriesPreprocessor' is not a package", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn [91], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mTimeSeriesPreprocessor\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mUtils\u001b[39;00m \n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'TimeSeriesPreprocessor.Utils'; 'TimeSeriesPreprocessor' is not a package" + ] + } + ], + "source": [ + "import TimeSeriesPreprocessor.Utils " + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "published-houston", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "\n", + "def simulate_alignment2(adata, true_align_string, \n", + " frac_query = 0.5,\n", + " seed=42352,\n", + " gene = 'Msi1',\n", + " n_stds = 1):\n", + " np.random.seed(seed)\n", + " n_bins=len(true_align_string)\n", + " adata.obs['time_bins'] = pd.cut(adata.obs['time'], n_bins).astype('category').cat.codes\n", + " q_cells= np.array([])\n", + "\n", + " ## Split in ref and query\n", + " for i,b in enumerate(true_align_string):\n", + " n_cells = sum(adata.obs['time_bins'] == i)\n", + " q_cells_bin = np.random.choice(adata.obs_names[adata.obs['time_bins'] == i], size=int(np.round(n_cells*frac_query)), replace=False)\n", + " q_cells = np.hstack([q_cells, q_cells_bin])\n", + "\n", + " adata_query = adata[q_cells].copy()\n", + " adata_ref = adata[~adata.obs_names.isin(q_cells)].copy()\n", + " \n", + " ## Calculate shift for insertion\n", + " X_query = adata_query.X.copy()\n", + " X_gene = X_query[:,adata_query.var_names == gene]\n", + " ins_shift = n_stds*X_gene.std()\n", + " \n", + " for i,b in enumerate(true_align_string):\n", + " bcells = adata_query.obs_names[adata_query.obs['time_bins'] == i]\n", + " if b == 'D': ## delete cells\n", + " adata_query = adata_query[~adata_query.obs_names.isin(bcells)].copy()\n", + " if b == 'I': # change values for gene expression \n", + " X_query = adata_query.X.copy()\n", + " X_gene = X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene]\n", + " X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene] = X_gene + ins_shift\n", + " adata_query.X = X_query.copy()\n", + " \n", + " # Algorithm expect time spanning from 0 to 1\n", + " adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_ref.obs['time'].values)\n", + " adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_query.obs['time'].values)\n", + " # adata_query.obs.loc[adata_query.obs['time'].idxmax(), 'time'] = 1.0\n", + " return(adata_ref, adata_query)\n", + "\n", + "def make_align_string(mm_type, mm_start = 10, n_bins = 40, mm_size=10):\n", + " mm_ixs = range(mm_start, mm_start+mm_size)\n", + " true_align_string = ''.join([mm_type if i in mm_ixs else 'M' for i in range(n_bins)])\n", + " return(true_align_string)\n", + "\n", + "def alignment_viz(aligner, al_obj):\n", + " # plt.subplots(1,2,figsize=(10,3))\n", + " # plt.subplot(1,2,1)\n", + " # al_obj.plotTimeSeries(aligner, plot_cells=True)\n", + " # plt.subplot(1,2,2)\n", + " # al_obj.plotTimeSeriesAlignment()\n", + " print(al_obj.al_visual)\n", + " \n", + "def predict_alignment(adata_ref, adata_query, gene, n_bins=40):\n", + " gene_list = adata_ref.var_names \n", + " aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, n_bins)\n", + " aligner.WEIGHT_BY_CELL_DENSITY = True\n", + " aligner.WINDOW_SIZE = 0.1\n", + " al_obj = aligner.align_single_pair(gene)\n", + " alignment_viz(aligner, al_obj)\n", + " return(al_obj)\n", + "\n", + "def get_ref_aling_str(al_obj):\n", + " ref_ixs = (al_obj.al_visual.split('\\n')[1]).split(' Reference')[0]\n", + " al_str = al_obj.alignment_str\n", + " ref_aling_str = ''.join([al_str[i] for i,p in enumerate(ref_ixs) if p!=' ' and al_str[i] != 'V'])\n", + " return(ref_aling_str)\n", + "\n", + "\n", + "def run_match_accuracy(params):\n", + " adata, gene, align_params, save_aligner = params\n", + " match_dict = {'D':'mismatch', 'I':'mismatch', 'M':'match', 'V':'match', 'W':'match'}\n", + " true_align_string = make_align_string(**align_params)\n", + " rdata, qdata = simulate_alignment2(adata, true_align_string, gene=gene)\n", + " al_obj = predict_alignment(rdata, qdata, gene=gene)\n", + " if save_aligner:\n", + " with open(f'./data/aligner_{gene}.{align_params[\"mm_type\"]}.size{str(align_params[\"mm_size\"])}.pkl', 'wb') as f:\n", + " pickle.dump(al_obj, f)\n", + " true_ref_align_str = get_ref_aling_str(al_obj)\n", + "\n", + " # get mismatch accuracy\n", + " outcome_df = pd.DataFrame([(i, match_dict[true_align_string[i]], match_dict[c]) for i,c in enumerate(get_ref_aling_str(al_obj) )],\n", + " columns=['position', 'true', 'predicted']\n", + " )\n", + " outcome_df['correct'] = outcome_df['true'] == outcome_df['predicted']\n", + " accuracy = outcome_df['correct'].sum()/outcome_df['correct'].shape[0]\n", + " outcome_df['accuracy'] = accuracy\n", + " outcome_df['gene'] = gene\n", + " for p in align_params.keys():\n", + " outcome_df[p] = align_params[p]\n", + " outcome_df = outcome_df[list(align_params.keys()) + ['gene', 'accuracy']].drop_duplicates()\n", + " return(outcome_df)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "alternative-clinic", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(adata.obs['time']);\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "id": "fantastic-quality", + "metadata": {}, + "outputs": [], + "source": [ + "g = 'Maob'\n", + "match_dict = {'D':'mismatch', 'I':'mismatch', 'M':'match', 'V':'match', 'W':'match'}\n", + "true_align_string = make_align_string(mm_type=\"I\", mm_start = 0, n_bins = 40, mm_size=5)\n", + "# rdata, qdata = simulate_alignment2(adata, true_align_string, gene=g, n_stds = 1)" + ] + }, + { + "cell_type": "code", + "execution_count": 320, + "id": "faced-excellence", + "metadata": {}, + "outputs": [], + "source": [ + "seed=2022\n", + "frac_query=0.5" + ] + }, + { + "cell_type": "code", + "execution_count": 321, + "id": "tight-silicon", + "metadata": {}, + "outputs": [], + "source": [ + "gene = g" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "id": "tracked-conflict", + "metadata": {}, + "outputs": [], + "source": [ + "n_stds = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "postal-oxide", + "metadata": {}, + "outputs": [], + "source": [ + "np.random.seed(seed)\n", + "n_bins=len(true_align_string)\n", + "adata.obs['time_bins'] = pd.cut(adata.obs['time'], n_bins).astype('category').cat.codes\n", + "q_cells= np.array([])\n", + "\n", + "## Split in ref and query\n", + "for i,b in enumerate(true_align_string):\n", + " n_cells = sum(adata.obs['time_bins'] == i)\n", + " q_cells_bin = np.random.choice(adata.obs_names[adata.obs['time_bins'] == i], size=int(np.round(n_cells*frac_query)), replace=False)\n", + " q_cells = np.hstack([q_cells, q_cells_bin])\n", + "\n", + "adata_query = adata[q_cells].copy()\n", + "adata_ref = adata[~adata.obs_names.isin(q_cells)].copy()\n", + "\n", + "## Calculate shift for insertion\n", + "X_query = adata_query.X.copy()\n", + "X_gene = X_query[:,adata_query.var_names == gene]\n", + "# ins_shift = n_stds*X_gene.std()\n", + "\n", + "## Find max bin for insertion (using interpolated mean)\n", + "aligner = Main.RefQueryAligner(rdata, qdata, gene_list, 40)\n", + "aligner.WEIGHT_BY_CELL_DENSITY = True\n", + "aligner.WINDOW_SIZE = 0.1\n", + "al_obj = aligner.align_single_pair(gene)\n", + "max_bin = np.array(al_obj.S.intpl_means).argmax()\n", + "X_insert = adata_query[adata_query.obs['time_bins'] == max_bin, gene].X\n", + "mean_shift = X_insert.mean() + n_stds * X_insert.std() \n", + "std_shift = X_insert.std()\n", + "\n", + "for i,b in enumerate(true_align_string):\n", + " bcells = adata_query.obs_names[adata_query.obs['time_bins'] == i]\n", + " if b == 'D': ## delete cells\n", + " adata_query = adata_query[~adata_query.obs_names.isin(bcells)].copy()\n", + " if b == 'I': # change values for gene expression \n", + " X_gene = X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene]\n", + " X_ins = np.random.normal(loc=mean_shift, scale=std_shift, size=len(X_gene))\n", + " X_query[adata_query.obs_names.isin(bcells),adata_query.var_names == gene] = X_ins\n", + " adata_query.X = X_query.copy()\n", + "\n", + "# Algorithm expect time spanning from 0 to 1\n", + "adata_ref.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_ref.obs['time'].values)\n", + "adata_query.obs['time'] = TimeSeriesPreprocessor.Utils.minmax_normalise(adata_query.obs['time'].values)\n", + "# adata_query.obs.loc[adata_query.obs['time'].idxmax(), 'time'] = 1.0" + ] + }, + { + "cell_type": "code", + "execution_count": 331, + "id": "japanese-separate", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "012345678901234567890123456789012345678901234567890123 Alignment index \n", + " 0123456789012345678901234567890123456789 Reference index\n", + "--------------\u001b[91m*\u001b[0m\u001b[92m*************\u001b[0m\u001b[92m**************************\u001b[0m\n", + "\u001b[91m**************\u001b[0m-^^^^^^^^^^^^^\u001b[92m**************************\u001b[0m\n", + "01234567890123 333333333333345678901234567890123456789 Query index\n", + "IIIIIIIIIIIIIIDWWWWWWWWWWWWWMMMMMMMMMMMMMMMMMMMMMMMMMM 5-state string \n" + ] + } + ], + "source": [ + "# al_obj = predict_alignment(rdata, qdata,g)\n", + "gene_list = rdata.var_names \n", + "aligner = Main.RefQueryAligner(adata_ref, adata_query, gene_list, 40)\n", + "aligner.WEIGHT_BY_CELL_DENSITY = True\n", + "aligner.WINDOW_SIZE = 0.1\n", + "al_obj = aligner.align_single_pair(g)\n", + "alignment_viz(aligner, al_obj)" + ] + }, + { + "cell_type": "code", + "execution_count": 333, + "id": "major-efficiency", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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LRahxMcS/nnBF+ao7fTltMpkUjUZ5zffFEQRBuFaYHWbWH1zPvO3z2HNmj//x1KqpjGo9ivQb0tEoomtMK/xNVH0KV0yw6k6Xy01OzmZGjOgU0XtcrX1xBEEQrgUWh4WXNr7EhC8mBARpAHvO7GHCFxN4aeNLWBxX34zNWCECNaFCOJ0uzGY7J08a2LfvJCdPGjCbbQGtM0puY7U6glZ3Zmdvpm3b+gwd2j7sPq/mvjiCIAhXO6fbybqD61jyy5Kw2y3+ZTHr/1iP0+28TEd2bRFLEcJFK2uCQO/eTfB4CNgmNbUGc+ZkBq3uNBjMDBkyl8WLR9OyZR3mz/+uXNWjgiAIwqVjd9mZu21uRNvO2zaP7vW7R52vJnLfRKAmXKSSOWbF5eYeZ8qUj0hLu4E33vg6YBudTh22uvPw4XPceut0MjLSeO+9EVgsdux2F5UqxV0TfXEEQRCudgXWAvae3RvRtrvP7KbAWoBWEXnxl8h98/pH3vo8deoUOTk5jB8/nvbt26PRaJBIJHTt2rXc7/nMM88gkUjC/m/OnDkV9yFiQCQTBDIz09iwYW+pbUwmK5UqxYV9f4PBzIwZ62jbdhpjxmRTrVoCKSl6tFqVCNIEQRCuMKPVGNX2BbaCiLcVuW9/+0euqC1btoyJEydekveuWrUqN954Y9Dnqlevfkn2eaWUNUFAJpOSkZHGvfe+W+q5/ftPRVzd6XZ7LlSDKi76mAVBEISKoVdH178yQZUQ0XbR5L61ua4NfRr0uaZvg167nyyMhIQE0tPTad26Na1bt+ann35i2rRpFfLeffv25f3336+Q94p1ZU0QaNgwBYvFHnSb4tWdEycuK3NforpTEAQhtiSoE0itmlpqxSuYxlUbk6COLFCr6Nw3X0N1o9GM0WhBr9eg12uumhSaf+SZb/jw4QwfPtz/9+PHy+7XJQT+sNvtToqK7GG3LysPLTt7M6tXT2To0PYsWrQl5HaiulMQBCH2KGVKRrUexYQvJpS57ag2o1DKIiv+qsjct7KK3Xr1iv2itH9kjpoQPbPZzqpVvzBgwNu0bPksI0a8h1IZPnAqKw/NV92ZldWd6dMH0aRJzYDnmzSpyezZGUyd2j/mv0iCIAj/NHKpnPQb0hncbHDY7YY0G0KP+j0ivj1ZUblvvmK3rKycUik2ubnHycrKYdq0lZjN4RcdrrR/5IrapfTLL78wePBgTp06RXx8PDfffDP33HMPjRs3vtKHVm7BKjsjyTGLZJvi1Z3Z2ffj8XgoKLCUORtUEARBuPI0Cg1Tuk6h7XVtmbttbqnqzNFtRtOjfo+oqjMrIvctkmI3gIULN9GuXT369WsWs+caEahVsJ9//pmff/7Z//eVK1fywgsv8NBDD/H6668jk5X9gzB37lzmzZsX0f727o1sebi8Qv2wR5JjFmkemq+6MzW1Ot263YTd7kQmk1To5xAEQRAuDY1CQ58GfehevzsF1gIKbAUkqBLK3e+sInLfyip2K27WrA0xnV4jArUKUqNGDZ577jl69+5NvXr1iI+P58CBA8yaNYs5c+bw5ptvolAoePXVV8t8r5MnT7Jr167LcNRlC/fDHkmO2eLFW/jmm0fJzEwrs41Hy5Z1aNfueQwGM3B15RAIgiD8k8mlcuRSOVqFlpT4lIt6r4rIfSur2K243347RkGBJWbPMyJQqyCjRo0q9VjTpk2ZPXs2devW5dFHH2X69OlkZWVRp06dsO9VvXp1WrRoEdF+9+7di8Vy6frIhPthDzZBYO/ekzRsmEL16nruuKMVXbs2wm53MmXKbbRrVz9oQueoUV1p1aoOd9892x+kwd85BMOGdRB5aoIgCNeIsqowi+e+hWvRES73zWiM7rxoNJpJSYnuluvlIgK1y2Dy5Mm89dZbnDhxgpUrVzJ+/Piw248ePZrRo0dH9N4tW7a8pKtvZf2w+3LM7r+/C8uXj0WhkFFQYMFotKDTqbFY7CxcuInPPvuJ/v2bk519Pw6Hi6IiG3q9BrVawZw5G3nqqU8CgrTiroYcAkEQBKFskVZhXmzum14f3cQCvT7yiQmXmwjULgOZTEbbtm355JNP+P3336/04UQlkh/2pCQtAwe2YM2aXObP/77Ul2/EiE4sXTqGIUPmMnPmeho1qs5dd7UmIyONAQPe5rffym6PEus5BIIgCEJ4ZY0cLHkH5WJy3/R6bUQN1QGaNq1FQoL6oj7bpSTac1wmSqX3tp3T6bzCRxId3w97KImJWpYsGcOsWd8wceKyoCXQEycuY/bsDSxePJqEBA179pxgxYrtnDtnChqkyWRSUlNr0KZNPVJTayCTSf05BIIgCMLVJ5oqzLVrc3E6XQABeW8NkhuQEp+CVqENGqQ53U7MDjOnCk9hchnJyuoe0bHFekP12D2ya0xubi4AtWrVusJHEh2lUkZWVneysnKCPp+ZmcbWrQfDNqwFyMnZTIsWtcnISGPGjHXodGpOnw7sfZOYqCUzM42MjDQsFjt5eUVUqhSHWq1g0aItFBZaYjaHQBAEQQjtUldhlhzgPjFtEoM7DyuzoXpGRhqdOzeMeD9XglhRuwy++OILdu/eDUCvXr2u8NFERy6X0atXEzIz00o955vl+e6730X0XgsWfE9mZhpSqQSTyUpi4t+3VevWTWb16onUrZvMfffNp3PnlxkwYAadO7/M8OELqFs3merVEyvqYwmCIAiXUXmqMCNVcoC7TCJjYMM7mTRpadiG6tOnD2Ls2G5MmrQMu90V1ee5nMSKWhQ6duzIsWPHmDBhAhMmTPA/vnv3bt5++22ysrJo1qyZ/3G3283y5csZM2YMALfddhutW7e+3Id90bRaJU899S/at6/PzJl/J4A2bJiCzeaI6stnsdhp1Kh6QDPcY8fyWbJkDDNnrg965eO7ffrzz3+J6k9BEISr0MVUYTrdTuwuOwXWAoxWI3q13p+nBpQa4H5j8o1YTE7WrNnDtm1HyMhI4733RmCx2MnPN5OUpEWtVpCTs4Vnn/0Mg8Es2nPEmr/++ovmzZv7/261WgHYtGkTycnJ/scfeeQRHnnkEf/fjx07xp9//onBYAh4P4fDwbx585g3bx6VKlWidu3ayOVyDh48SH5+PgCdOnUiJyf47cOrgVarpF+/ZvTs2eRCVaeZ5OR4zpwJProjlPx8Mzqd2t8Md+zY7uzffzKi26ei+lMQBOHqVN4qzJK3NH1Sq6YyqvUoetTvwed7Pw94rU6pI89gAv5uqO4rZNPp1JhMVvbtO4nb7fG/RrTniDEul4vz58+XetzpdAY8bjYHbxdRUp06dXj++efZsmULe/fu5eDBg1itVipVqkTfvn0ZPHgwgwYNimgqQSyTy2XI5TK0WqX/B9puj644IilJi8nkDYx37DjCgw+m06nTjQwaNCei14vqT0EQhKtPeaowfbc0g/VS23NmDxO+mMCQZkN4ovsT7Dixwz8j1GQ3USlRF7C92+1hz57Qd39Ee44YU6dOHTweT9kblnDkyJGgjycmJvLEE09c5FFdnaL98qnVCvbtOwlARkZ7VCo5BQWWa6aDtCAIglBaWYVpxWVldUOukPL1wTVhG94CLP5lMc2qN2Nws8HM/nE2AL+f+x2NTh7y3CSTSWnYMMW/uqZQyER7DuHa5fvyRWL48E7k5GzB7fYwbFgH/8pYeXIXBEEQhKtHuMK04nznBicO5m6bG9F7L9y1kMHNBiOVeEMal8fF0t2LGDGqQ8B2iYlaxo9PZ+vWJ5kzJ5MpU/oxZ04mS5aMjum7NCJQEy5KpF++jIw02ratx44dh5k9OyOgKOBa6iAtCIIgBOcrTJs9OyNoFWbxc0OBtYC9Z/dG9L67z+zG4rDQILkBMomMRlUasffsHjp1r0fmsPbIZFJ69kxl7dqHqVevSqnOAnffPZvVq3/FbLZfio990f6Rtz6FihWqKhT+HgvSvftN2GxOcnLu989z87mWOkgLgiAIoQUrTNPrtSQkqAPODb58s0gV2goZenMGna/vhsXkJM9gwlrk4ckn+/PkE/3xeOD55z8nJyeyqQixRARqQoWI9MsXTLS5C7HcQVoQBEEIL1hhWkl6deQVmHUS61A/oSEHtli579GcUosFr712F4cOnQsapBUXq50FxK1PocIU/+I1bFidlBQ9Wq2qzB/4SG+fZmamkZ7eOKa+QIIgCELFS1AnkFo1tczt9Go9OQOX8MLzq5jw4PJSd2b27j1JcnI8s2ZFPhUh1prfikBNiAlarZKpU/vz9ttDQnaQHjOmG7Nnb4jZPAJBEAShYihlSka1HlXmdoNvHsKW746GnCHasGEKFov9kk1FuBzEPSQhJjidLjZu3Mfvv58us4P0jTdWjbmlaUEQBKHiyKVy0m9IZ3CzwSFbdMgkMu5tNoJBd74T8n10OjV5eUVR7TvWmt+KQE24rJxOF3a7C6PRjNFoQa/X+Ks+33xzDbt3nyizg7RoeisIgnDt0yg0TOk6hbbXtWXutrmlJhM83OlhHGbCrpaZTFYqVYqLar+x1llABGrCZWM221mzJpdZswIrQ/v3v4Unnrjd/2Urq4O0aHorCILwz6BRaOjToA/d63enwFpAga2ABFWCf9bnwQNnw76++Fzpq7WzgMhREy4Ls9nOc899RlZWTqkvy6lTBZw8aYjq/UTTW0EQhH8GuVSOVqElJT6FBskNSIlPQavQ4rB5iItThX2tb670iBGdItpXLHYWEIGacMk5nS7WrMkNmex5LSxNC4IgCJeP2Wxn2rTPkEolpQrQSsrO3kzbtvUZOrR92O2KT8yJJSJQEy45u93FzJmhS6OLL01HIhaXpgVBEITLw3fx//77myJaLTMYzAwZMpfHHruVGTOCdxYoOTEnlsTW+p4Q00IVApTV0NZoNIdN9iy+ND1x4rIyj6P40nR5j0kQBEG4+jidLmw2p//iPzt7M6tXT2To0PYsWrQl5Os6dmyAyWTj6NHz/s4CJpONqlXjkUql6PUaNJrYC9JABGpChEIVAvhGRPXq1STklUgkQ9cj/bIVX5q+mGMSBEEQri5ms52tW/+gTp3K/ot/32rZ4sWjadmyDvPnfxf0fNCqVR3uvns2hw+f4+uvc5k4sRc333wdjz32AevX72XHjqdFoCZcvXyFAMFyzCKZkRbJ0PXiX7a0tBuCBl/jxnWnZ09v8HWxxyQIgiBcPXy/8/ftO8WUKf0Cnjt8+By33jqdjIy0oH04ZTIpbreHN98cHNCbc+LEZRgM3sK0WOudVpwI1ISwyioE8Ak3I803dH3v3pM0bJji74+2f/8pXC63f7vDh8/x8MPLycm5n169Qs8MrYhjEgRBEC6Nik5JKf47PzW1RtDiM4PBzIwZ64L24dy48VFeffVLzpwpDNqbE2K7QE0EakJYZRUCFDdnzkZ69Wpa6ouoVMp44417SEqKw2Kxk5dXRKVKcajVChYt2kJ29mb/VU1GRnsUivADe6M5JtEcVxAE4fK5FCkpNvvfOWll9UUr2YezadNaqNUKVq/+tVRwVnybWC5QE4GaEFZZhQAAiYlaMjPTyMhIIz+/iD//DLyCsttdHDx4JugXd8SITqxePZEhQ+bSuXPDiIKqSI7JRzTHFQRBuDwiS0lJ4/En+mHxFBKvjkcpUyKXhg5FrA4r5/IK/L/zoy0+Gz68Ezk5W0IGaRCbvdOKu+gj27hxI0uXLuXXX38lLy8Ph8MRcluJRMIff/xxsbsULqOyCgHq1k1m8eLR/PjjH9x33/yAQKx9+/q8++59vPLK6pBf3IkTl5GRkcaqVRNQqRQRBVSRFCcEbh+7uQeCIAjXgshTUjZzS6ta/JW8mW//3Mio1qNIvyEdjaJ0LrPT7WTn8Z0ojMkBj0defJZG164NefbZz8JuE+t3XcodqHk8HoYPH052drb/72WRSCTl3Z1whYQrBEhM1LJkyRhmzlwf9MvSunXdiL64OTmbSU+/ic6dG1JUZMNotJCfX0RSUhx6vQaFQhZwtRNJcULgZ4jd3ANBEIRrQTQpKQvmbWbBkqHM3TGHCV9MYEizITze9fFSwZrdZWfZr8t4qNljAY9HUul5/5hOtO9SG6fEwtPTbmP+3E2l7+iM7kDf3s1i/o5LuQO1GTNmsHDhQgBatmxJ//79qVGjBnJ57C4fCtHzFQIEywXIzExj69aDQYM0mUxKRkYa9977bpn76NTpRtq1u4FVq35h7tyNpb5Mo0d3pU+fpv5RIeGOqaRYzz0QBEG4FkSbkmIxOWmQ3IB9Z/ex+JfFtLmuDX0a9Am4DVpgLeDr37/msQ5PlvqdH6rSs3JlHVWrxjN31yxeWjoWgMFNh/De0gwsJif5xiKS9HGodTKW5S7G4qlHArF9MV/uqOq9995DIpEwcuRI5s6dW5HHJMQQpVJGVlZ3srJyAh4vKxBr2DAFi8Ve5he3du3KvPvucJ5/fiU5OaUDvtzc4zz44GIyM9OYOrU/cXGqkMcUTKznHgiCIFwLok1JyTcWoVPq/H+ft20e3et3DwjUjFYjLo+LpbsXMWJUByaOXxHwHsEqPR96KJ0f8r5i1raZ/u1mb5/F3B1zaJDcAJ1Sh8lu4sC5A9xU5Say0saW8xNfPuUeIXXgwAEAXn755Qo7GCH2yOUyevVqQmZmWsDjZQViOp2avLyiMt//pZfuZM2a3KBBWnHZ2Zv5+utc7HZnyGMqKVbntgmCIFxrok1JSdLHYbKb/H/ffWY3BdaCwPdUe3OLl/y6mHZdrmdoRrug7+Wr9LzpphTatK1Hsq5y6W08bvad3ceO4zvYd3Yfbo+bUW1GoZTF9m1PuIhATa1Wk5iYSFJSUkUejxCDtFolTz31L2bPzvDPSCsrEItk0LpSKadVqzrMmbMhouOYO3cjDocr5DH5xPrcNkEQhGuNLyUlEk2b1kKtk3Hg3IGAxwtsgYFagjqB1KqpGK1Ghn+WybiHOzJ9xl1Bf+e/9b97eHJqf3J+fY/GKY0ZdPOgsMcwpNkQetTvEbbiNFaU+wibNm3Kpk2bMJlM6HS6sl8gXNW0WiX9+jWjZ09vI1qr1Y5SqQi5fVm9bgB69WqM0WiJKq/BaLT4c9VKHlOw5riCIAjCpSeRuxk9tgsPjltS5rbDR6WxLHcxbo874PEEVULA35UyJaNaj2LCFxM4YjjCwOW3h8w3K3Dk85fpMK/98Bof5H7AgjsX0LxGc97f9T57zuzxv2dq1VRGthpJzxt7Bq00jUXlXlF74IEHcLlcLFiwoCKPR4hhxZvQ1qlThcTE0FdQxXvdhJKcHO9vdBup4tsX735tsdipXFknBrILgiBcZhaHhemb3qBVxxohb0/6ZGS2p13n61ny2+KAxxtXbUyCOjBQk0vlpN+QzuBmgwFvztrs7bPo+n5HHto4itd3T+WhjaN4Z9ds6lSqzTPrnwHwBnWLBnI4/zBzB8xlzX1rWDFoBWvuW8OcAXMwWA0V9tkvh3KvqN15552MGzeORx99lKSkJDIyMiryuISrQFlJ/WX1usnLM5GUFF21TWKid3sxkF0QBOHKc7qdrDu4jvk757P+j/UseDiblm2uD9kOo13n6xn+WSZGqzHgfULli2kUGqZ0nULb69oyd9tc9pzZ4883S62ayti2Y+lRvwcmm4ntx7f7X2e0Gpn942zmbptbqojA7XHT+8beaBWxXe3pU+5Abfjw4QBotVruvfdepk6dSuvWrYmPjw/5GolEwvz588u7SyHGFE/qD9Yrzdfr5uOPH6RDhxuYOdMbVPkmGdx7b0fi49VRtdrQ6zViILsgCEKMsLvszN3m7fxQ8vaktciF3QxanRyZxs2y3MW8snxcqSCtrHwxjUJDnwZ96F6/OwXWAgpsBSSoEkhQJ/gnGxw1HA36WrfHze/nfufG5BvRKXU0SG7A7+d+p8BWQEp8SsX+Y1wiEk8knWqDkEqlSCSSiBvdejweJBIJLperPLsTQmjZsiW7du2iRYsW7Ny584ocg9lsZ+3aXH8g5tOkSU3GjetOz55NUCpl2O0uiopsqFRy1q/fy+zZ3zBlym2cP2/iwQcXh9mD1//+N5R+/W7myy9/K7M1R2KilhUrxlKvXhWMRkuFDAYWBEEQAp0qPEWHuR1KPS6VSGlUpRGdandieKvh/HzyZ2ZsmUHu6Vz/NqlVUxndZjQ96ve46Hyx4schk8i4MflGqumq0aV2V9Lr9sZicpJnMFEpUYdaJ0On0ZCovbITayI9f5d7RS0zM1NMGviHKZ4TVjLwiSSp3/dn8dWwxx//kDVrHiYjo33YFh2ZmWn07t0El8tTZvdr31irbdsOMWnSMnFrVBAE4RIpuToG3rYag28ewqDGQ7GYnBw+mMeNlW9m8b+X4cDGees5dEpdwIrYxUpQJ9CmVhta1WzFoGaDcLqc6OWV+WbdPu6bknNVnwfKvaImxIbLtaJWETlhTqeLVat+KbUa1qnTjbz77nDWrt3NnDkbSr3/mDHd6N27CXFxKk6eNNCy5bMh95GYqOXLLyeFHGvlI26NCoIgXLySK2p1Euuw4F/ZbP32KPPnlc5TG5vVnd6XIEByup0U2gpZ/8d6Psr9iFfSX+d/r/3AopytIV9zpc8Dl3xFTfjnqKicsFCz4L7//nd69XqdF1+8g48/foCCAgsGg5nExNKzPsvqfh1urFVxCxduol27evTr10zcBhUEQSgnX6+zPWf2oFfreW9AdsgAKTf3OOMuUQ6xw+XgjR/eYPmvy3miy5Ns/favsEEaXD3ngXK35xD+GZxOV0SD1Rcu3MTatbk4naFzEMPNgvvzz/MMGTKP1NQneOaZz1i0aCsajeLCyKjIBrL7xlq9++53ZXwqr1mzNmC3i5xJQRCE8vL1OgMYfPMQtmw8GlGAVNb5IhpOt5NvD32LXpXIhnu/59+N7uKdOd9H9Nqr4TxQIYHa6dOnmTlzJvfddx/9+vWjX79+3HfffcyaNYvTp09XxC6EKyTUKlgwZf3ARzILzul0s2rVL7z//g+cOVNQ6vlw3a8jnS/q89tvxygoiG4+nSAIghCoR/0eDL1lKIMaD+XduT9E9JqKDJAcLgdNk2/hujNpTHviK06fMl5T54GLuvXpcrmYOnUqb7zxBg6HA8BfBSqRSMjOzmbSpElMnjyZ5557DpksdpcWheDCrYKV5PuBD7WcHe0sOL2+dI+bcL3bIp0vWpzRaCYl5cpW/giCIFyNzA4z6w+u5/N9n/NMj2dwFcoq7HwRDZddwluvfsuinK20aVPvmjsPXFSglpmZybJly/B4PKhUKlq1akWtWrUAOHbsGDt27MBms/Hyyy9z9OhRcnLCt1QQYk8kq2CB24f+gfethkXaMy0hQV3q8XC92yKZLxrsmARBEIToWBwWXtr4Ekt+8Y6McrldjG84Nar3qIgAyel0sXbNbv/t1mvxPFDuW5+ffvopS5cuxePxMGnSJE6ePMn333/P0qVLWbp0Kd9//z2nTp3i4YcfxuPxsGTJElauXFmRxy5cBhWxCubjWw2LRFZWt4DctOJCDWTfv/8UOp06qsHAwYJBQRAEITTfNAJfkAZwynSKuPjQ85+DSUjQcK7oHPvP7udU4SnMDjNOtzOq97DbXcya9Y3/78XnTEfCdx5wOl2YzXZOnjSwb99JTp40YDbbKiyP7mKUe0Vt/vz5SCQSpkyZwrRp04Juo9frefXVV1GpVLzwwgu888479O/fv9wHK1x+FbEK5lPWJAOfYcM60LNn47BVOKEGsuv1mrBjrYoLFwwKgiAIwRWfRuDz+7nf0ejkUZ0vJCoH7eek+Yezp1ZNZVTrUaTfkB5xA9yS6TnF50xPnLiszNf/5z99AFi16peYHUlY7hW17du3I5VKefjhh8vc9uGHH0YqlbJ9+/YytxViSzSrYA89lI5cLgt7VRJqNQy8X4rp0wcxblx3Nm06iNlsD7u/4kPiGzasTkqKHo1G6Q8Gw/EGg01iuiRbEAQhFhVYC9h7dm/AYy6Pi6W7FzFiVOkpBcEMH5XGot+y/UEawJ4ze5jwxQRe2vgSFkfptJuSq17nzhViMJhLbZedvZm2beszdGj7sMcwZkxX2re/geeeW0lWVk6pANPXfmratJVlno8upXIvJ+Tn56PX69Hry76/7NsuPz+/vLsTrpBIV8EmTepNly6NWL361zKvSrRabzDVocONGAxm8vPNJCVpUasV5ORs4dlnP8NgMJe7144vGGzfvn7YsVai2a0gCEL0gk0jAFjy62I+ufsehma0C9uiIyOzPe06X88ry8cFfX7xL4tpc10b+jTo459aEKzpempqDebNG1bq9b4504sXj6ZlyzrMn/9dqfPAqLGd6dfnFr7+OrL2U1ey31q5A7WkpCTOnz9PQUEBCQkJYbc1Go0YjUaSk5PLuzvhCior8JkwoSddujRi2rSVETXFVSplfP11Lg88sIhGjaqj06kxmazs23cSt/vvQRkX8+UIdWu05FgrQRAEITp6dfAFGqPVyPDPMlnwcDYt21zP/LmlJxOMGtOZ1p1qMvyzzJABH8C8bfPoXr87cqk8ZNP1/ftPoVIpgt5uPXz4HLff/hYTJvRk8eLRWCx2zp4tpHoNPR6ljWW5S7A7U6NqP3Wl7sKUO1Br3bo1q1evZvr06Tz99NNht50+fTput5tWrVqVd3fCFRYu8JHLZaxe/WtEVyXt29cjPb0xM2eux+32sGdP+FLuOXM20qtX03J9OeRyWcDtUUEQBOHiFZ9GUNIRwxEGLr+dwU2H8P6yTFwWKUWFDhISNOjiVVjtNhwSG30b3MqSXxeHDNZ2n9lNgbUApUQVsul6qHy0xEQtmZlpZGSkYbHYOXz4LMnJOm64oSq/G/cx5uNRVNNVY2C9QVeknUi0yp2jdt999+HxeJg2bRpTp07FZDKV2qawsJAnn3ySadOmIZFIGDFixEUdrHBlBcsJ02pVOJ3uiK5KZDIpv/56HKPRUuaXIzFRy/jx6bz77n3k5xfFXBWOIAjCP1XxaQTBGK1Gvvx9NQ6Xg/37TjFv3kYyM98h9aYnuKXps9x3Tw7XnUnjk7s/p05inZDvU2ArKLPpesl8tLp1k1m9eiJ16yZz333z6dz5ZQYMmEHHji/xf/83i0Pb7awc9AVd6nThXF7ppurhGI2l8+Euh3KvqP373//mrrvuYsWKFbz44ou88cYbtG7dmpo1vQnivj5qVqsVj8fD3XffzcCBAyvswIXYUVZT3OJXNx6Pp8xmhHXrJrN48Wh+/PEP7rtvfkxW4QiCIPxTyaVy0m9IZ3CzwQEtOnx8Mz9nvraJnJzSc5dzc48zcfwKMjLbs2ByNgOX315qZU2v1pMSVx2jIfz5pXg+Wvv29WnTph5vvbU26Lzn3NzjTHhwOZnD0pg69UGMRmtUn/tK9Vu7qBFSOTk5TJo0CZlMhsVi4bvvvmPZsmUsW7aM77//HovFgkwmY/LkyWRnZ1fUMQsxJlxT3JJXN/feOx+VKvT1QWKiliVLxjBr1jdMnLgsZqtwBEEQ/sk0Cg1Tuk7hrdveIrVqasBzE9pPZPv3J4IGacXlZG9h63dHGdx0SMDjTao1YW3GBn7ZcYLjxw1lHsvhw+e49dbpJCbGsX374aBBWnHZCzfzxVc/o4mTXRV9Ny+qiZRCoeD1119n0qRJfPTRR+zYsYMzZ84AULVqVVq1asUdd9xBjRo1KuRghcvD4XDhdLrweEAi8d7yVChC54iFaorrC7pmzlzv/+LIZFJ/M8JgvXYyM9PYuvVgmV+0K12FIwiC8E+nUWjo06AP3et3p8BaQIGtgARVAvGyJAY89nZE77Fg3mYWLBnK3B1zcHvcNK3WlJyBS3l+2ip27jzCnDmZEb1PYaGVBg2qce+970a0/fy5m+nZszEjRnVg4vgVZW5/JftuVshea9SowYMPPlgRbyVcQU6nC5vN6Z/X6uNyubHbnahUwaslQzXFDRZ0hWtGKJNJychIi/iLdiWrcARBEATvbVC5VI5WoSUlPgWAkycNUSXpW0xOGiQ34GThSeYPeJ+vv8olJ2dzmRf2xTVsmILN5oxqv/kGEx271S2znciV7rt5Ubc+hWuH0+nCanWUCtJ8PB4PVqsjaCJ/sKa4vqDr3Xe/K7V9qGaEDRumYLHYy/yiyWRSUlNroNEoMZttAZ8hVkeACIIg/FNEOyM631iETqljYvtJyFxK5s7dCARe2JdFp1NTVGQrc7vizuebeHXzS4x7uCNv/e+eoE3YZ8/OKFc/z4ok5ucIANhskc1Xs9mcpa4qgjXFDRd0hWpGqNOpwxYalCy5zssrwmZzYrHY8Xg8rFmzO2ZHgAiCIPxTRDsjukZyFWb2n0mcNKHUalx29mZWr57I0KHtw6bEDBjYnORkXVT7TdLHcTDvoL+dyMefPICp0BZzfTcjCtSee+45AJKTk8nKygp4LFpPPfVUuV4nXDoOhyvkSlpJHo8Hh8NVKmetZFNcrVYVNujyJX9mZKTx3nsjsFjsSCQSNJrgwVSoStDERC1r1z7M22+vIyen7Ga7IlgTBEG4tKKZEZ2WdgOVkuIACUVFVs6dC2z1FcmUgawHu9KjW2NsVmep/cpkUho2TPE3Vt+//xQul5umTWuhS1AhlUgx2UzM3j6L/o1vp0FKg5jruynxRHCGlkqlSCQSGjZsyJ49ewIei5bLJW5DVaSWLVuya9cuWrRowc6dO8v1HhaLHZfLXfaGF/jyBkK9l83mxGSyIpFIaN267IBeKpXQqFF1li8fi0ajZMCAtwO+aImJWr78clJAUYLP+PHp1K2bHNHw3dmzM0TxgSAIwiXmdLpYteoXsrJywm5Xt24yn38+ge++28933+3nvvs6odEo6Nz55VLbJiZqychIIzPTe0fFN3qwWjU9f5oOsXdzIX/8fs5/Pgh2B6ZSpTjUagWLF2+lfft6NLwlCbvbjlQqZdkvyxh6y1CqxVe7VP8spUR6/o5oRa1z585IJBKuv/76Uo8JV78IF9PK3N435mPRoi2kptYgJ+f+iK6q3G7PheBP4c93K/4FD1UJKooPBEEQYk8kM6ITE7V88smDvPrqarKzN1/IO1aELB4wGMzMmLGOmTPX06hRdapX13PHHa2oXj2R2vH1mDhnBsePG1i9eiITJvTkrrvaBL0D8/DDfRg9uisWi51jR86h12vQxSvpWb8X8ar4S/5vUx4RBWobN26M6DHh6hRtvB1se6fTFTDmIzf3OO+990PQ6s5gfKXPJb/g4YKxSIsPfK7kCBBBEIR/krJmRL/xxj1s3nzQf87Yv/8UGo2Sr7/OZdSorowfvzjo+7rdHiwWO9Om/ZudO48wefIyHn64j/88MGbMQj74YBzPP/95QDpM8fSZu+6aVep4RozqQEq6BalEilpxZfqlhSKKCQTkcllUtz6DrUgFG/MRaRLoffd1DJjnWfwL/uWXv4UMxsoqPgjGaDTHXP6BIAjCtSjcjGiAiROX+rf1VXg2alSN9PQmIc8bfzdFX09OzhbatKkXcB7o2rURq1f/EhCkBevpWVzxSQmPTemDXOZtORIrRHsOAYVCFnAb2+HwtuqwWOxYrQ4cjr/zCiUSSdDmt8HGSPmSQLOyujN9+qBSpc/t29dnzZrJTJlyGwZD4DxPpVJGv37NePPNwdjtwfMaTSYrlSrFRfQZfS09kpNjc2lbEAThWhRqRnSwmc/Z2Ztp3bo+BoM55Hnj4Yf7sGPHYf/Ug+LngVBtoSJtpJ6TvYV16/bicEbWBeFyuWQh46pVq1i7di1SqZRbb72Vnj17XqpdCRVApZJjMlkvNLwt/owHp/Pvhrc6XfAl4VB9c4JVd+bnm7nuukrEx6tZu3Y3kyYtC9tSIykp+Hw131J5uDy44gmlNpuTM2cKsNud6PWamCi7FgRB+CcKds4wGMy88MLnPPBAOnfeOZOMjDTef38kDocLs9mGXq9Br9cyYMDfUw+Knwd8t0WLB4DR5jK/O/cH+vZuBjGUIVPuFbWPP/6YevXqMWbMmFLPTZo0iX/961/873//4+2336ZPnz785z//uagDFS6XUAlr4RPZwvXN8SWBtm07jTFjsnnrrbXodCqmTVtJVlZOmfM8faXeJZXVDLHknNGOHV+kR4/XaNnyWQYMmMGqVb+IeaGCIAhXQKhzxoEDp1Eq5RgMZr77bj8KhZSDB8/wzjvf8swzn5Xqs1b8PBAsHaY8ucxGoxmnO3ZW1codqK1cuZI///yTTp0CT5K7du3izTffxOPxcN1111G/fn08Hg9vvPGGKECIYb5GtnFxSlQqOTKZFKlUikwmRaWSExenRC6XhWyMGyqYKs7t9rBnzwl69LiJdev2hKwG8lm4cBNr1+Yil0tLTT7wCTXlQAx3FwRBiF2hzhneFTIFAwe2YMWKLF5//WsyMuaxbNk2zpwpDJqX7DsPdOnSoFQ6THlymQsKLLjcsdNKrNyB2vbt2wHo0aNHwOMLFiwAYODAgRw6dIgDBw4wbtw4PB4P77zzzkUcqnCplGx4q1DI0GgUaLUKNBpFQE6ar+FtScHGSAUjk0kZOLBlqcKDUGbN2oDT6fZXgpZUPA/u7beH+L/40Qx3X7s2V4yZEgRBuIxCnTNcLjcbNuzllVf+j6+//i2gKCBUXrLvPDBwYEsqV9YFBIDR5DL76PVaCm2FUb3mUip3oHb27FnkcjkpKSkBj69ZswaJRMKjjz6KVOp9+ylTpgCwZUv4k+blcurUKXJychg/fjzt27dHo9EgkUjo2rXrRb/3hg0buO2226hSpQoajYZGjRoxdepUioqii+gvp2iDlGDbF2+rEc7DD/cpd0uNp576F7NnZ5S6CouLU7Fnz3H69buZTz8dz65dzzBuXI+gc0aDmTVrQ8iCBUEQBKHiBTtnJCZqGT8+ndtvvwWn0+2f+elTPB+tJF8+9M8//8XYsd0jek0wTZvWQqWVkGfJK98HuwTKXUxgMBiIjw+soDt//jwHDx4kKSmJNm3a+B+vXr06cXFxnDx5svxHWoGWLVvGxIkTK/x9Z8yYwUMPPYTH46FWrVpcd9117Nmzh+eff56PPvqIH374gUqVKlX4fi9WNA1vpVJJyEbHZfXNGTeuO717N+XIkXNRHZ+vpUa4Uu/ihQFarbJUHkM4or+aIAjC5adUynjkkVtp3rw2X375K888M4Bt2/7A4XBRUFC6KrR4Plqw/pwGg5nx4xfx5ZeTyMhoT07OljJfU9LYrG4s2b2I/2t6Z4V9zotV7hU1nU6H0WjE4XD4H/vhhx8AaN++fantFQoFcnls9CVJSEggPT2dxx9/nI8//pipU6de9Hvu3LmTCRMmADB37lyOHj3Krl27OHToEC1btmTv3r3cf//9F72fSyGShre+AM1otHD48Fl/G42Sq2u+YMq3srVhwyPs2vUMn376IP36NUOtVkQ9sFev/7vqM1Spd8nqzVBVqKEYjeaothcEQRAujt3uYuTIBZw4YeB//xvKnDkbmDfvO6xWR6mZnz7h8pLHj0/nq68m43K5mTLldmbN8t6BCfWakoYNS6NVxxpsObqZBHVChX3Oi1XuyKlRo0b8+OOPrF69mn/9618ALF++HIlEUqrAwGw2YzQaqVev3sUdbQUZPnw4w4cP9//9+PGyB8eWZdq0abjdbjIzMxk1apT/8Ro1arB06VIaNWrExx9/zK+//srNN9980furSCUb3jocLpxONx4PyOUSlEoFa9bsZtas0qtk3jYajZFKJbjd3qDPF0z5AqriHA4XCQmaiAf2Nm1ay98cMRoXEwwKgiAIl57RaGbr1kO0aVOPL774hezszbRpU4/8fHPIvLJgQ9qLimz+qQO+kVG+2aDZ2ffjcLiw2R1MnXo7aWk3BD2XjR7bhdadajLskyFM7DgRpSx27rCUO1D797//zdatWxk5ciT79u3j5MmTLF++HKlUyv/93/8FbLt9+3Y8Hg9169a96AOORSaTia+++gogIEjzufHGG+nevTvr1q3jgw8+iLlATaGQYbc7cTic2Gx/FxZIJN4g7fnnVwat0PRVTg4b1oEpU27zr0oplQp/9ahvpcvpdF3o0eZBKpWUmucJ3kKDhg1T0OnUmExW9u8/5R8tFS29Xkv//rdw6lSB/71CTV8obzAoCIIglJ/RaCnV58xksoad+QmB/Tnff38k8fHqUiOjSs4GvePOlgy4uwnHqm7hvaUZ2Mxu7EUeEvQaUNpZkruIl5cv494W99Lzhp4xNZmg3EfywAMPsGjRIn799VemTJniP7k/+OCDpVbOPv74YyQSCZ07d764o41RP/30EzabDZVKFZCbV1ynTp1Yt24dW7duvcxHFxmZTEJhobf1htPpwuVyExenYu3ayNpotG1bjw4dbqCgwNs0t6jISny8msRE70qV1fr3LXK320PPno398zyLN6W1WOzk5RVRqVIcer0WnU7lf53T6cJud2E0mjEaLReaH5ZuXOu9HevhiSdu5+RJA5UqxaFWK1i0aAvZ2ZsxGAJvc5Y3GBQEQRDKT6/XlOpzVnzmZ7i8Ml8gJpXCjTemsGTJVlJTawRc6Ltcbn9bqD3PnaBSFQ3WZCtd3+9Ig+QGzBswj6PG/ew8spOquqqszdyAxeTk8MG8kOeXK6HcZye1Ws0PP/zAm2++yZYtW0hMTOS2225j0KBBAdvZ7Xa+/fZbrr/+enr16nXRBxyLDhw4AMD111+PQqEIuk39+vUB2L9/f5nvN3fuXObNmxfRvvfu3RvhUYbncnmQyyWYTFZcF9LOVCoFs2ZF1kZj9uwN9OiRSkGBFfAGY0ajBYkE1Oq/l5AdDm8QKJVKePLJ20lPT6VRo+ps2vS7f8nap0mTmtx/fxd69myMQiFj7dpwt1+9UwzMZjtr1uQG3W7EiE6sXj2RIUPmcviwt6Bh2LAO9OzZ5Ip/EQVBEP5p9HotN99cK6DPmS/5v2HDajRvXifsrGiZTMrIkZ359NOf2Lr1SWw2B/n5ZpKStCiV8lIX5wvmbWbBkqHM3TGHfWf3ccp0iu+PfE9Wy/GsXbubux6fE/b8cqVc1DKCTqfjySefDLuNUqnk559/vpjdxLy8PG8Zb7iKTt9z+fn5Zb7fyZMn2bVrV8UcXAQcDhcOhxOn04NarcLpdCGVSigsLF11E4qvctLhcOB0gkbjDVjz881UrixFIvE21fUFah6PB4VCRvv2NzBtWuhbq08//SldujTk5Ze/CHv7dcyYrkye3Cfse02cuIyMjDQWLx7N5MnLyMxMo2fPK/sFFARB+KdSKmXcdtstpfLRsrM3s3r1RFas2EZWVnd/LlrJIOrpp/+FSqVAr9cGvdAfNaorX301iUGD5nD48Dl+++0YFpOTBskN2Hd2H5U0lRjSODPsecOX3jN1av8rdq4Q93sqgNXqXUVSKkP/R1SpvLfwLJayqxGrV69OixYtItr33r17I3rPcHz5Yz5yuQyFQsbp0wVRvU9+fhEmkwWz2YFOp0anU/krRRUKKXa7E3exNLG4OG+RQrhbq5mZaWzYsLfM269KpZyvvvqtzO1ycjbTvn19Fi0ahUIhEytpgiAIV4hcLqNdu/qYzbaAfLTiBQM//fQnJpM1YFZ05cpxVKoch1Ih57nnQgdZ48cvZtiwNJYtG0vv3v/FYDCTbyxCp9TRuGpjElVJrPmy7PPLwoWbaNeuHv36Nbsi54xLFqj99ttvrFu3DqlUSu/evWnUqNGl2tUVp1Z7E9Ht9tCjiGw2GwAaTdnViKNHj2b06NER7btly5YXvfpmt7sCeqk5nS7cbjeJidFXTp4+bcRotFBQYCUpSY1eH4fD4SAurvR7qdXhb61GOkw32qG7s2dvoFcvcbtTEAThStNqlUgkMHp0Vx58cLH/8eIFA5mZ3vxlq9XJ9ddXJj5BhRsXX38d/kIfYOFCb2uO++/vzGuvfUWlRB0mu4kRLUfgdkp4d+4PER3nrFkbSO/Z+IqcN8rdR+2bb76he/fu/qkDxb3xxhs0b96chx9+mEmTJtG0aVNmzJhxUQcay5KSkoC/b4EG43vOt20scV9Y5nK5XFgsNoqKbBgMZuLj1VF1c9bpVJw7Z0KnU5GUpMXp9JCXZ8JicZTaXqmUl3lrNdJhuuUZultQcHGrkIIgCELF0GiU9O3btNRkG1/BQNu20xgzJpvvf9iPRO1g5Mr7sNkdzAoyilAmk5KaWoM2beqRmloDmUzK7NkbyMzsQLNm15Go19KiRgvaXd8Og7EoqvPGuTwjVoe1Qj5zNMq9ovbBBx/w7bffcs899wQ8fuDAAR599FHcbjcqlQqZTIbZbGbixIl07NiR5s2bX/RBx5oGDRoAcPToURwOR9CCgj/++CNg21gik0lxuVwUFdlwOJwYjVYsFhsymZQxY7rywAOLy3yPBx7ogclkpVevJphMNvLzi0hKikOnU5GfX4REIsHt9uB0enu0SSQSCgtLB3DFRTpMtzxDd33TDgRBEIQrT6tV8dRT/6Jdu3rMmrUhIN8sNbUGI0Z3oF3n6xn0wV3EKeOwFbkDgqxQ3QN8Ff92u4uJD/dEpVIysvVIXv32VQZfPzaqYzyTZ+C46yBtrmtzWdt3lHtPmzd7lxv79u0b8Pi7776Ly+WiS5curFq1CqVSyZAhQ/jwww+ZNWvWNTmYvXnz5iiVSmw2G9u2baNDhw6ltvn++++B4FMbrjSFQobV6q2WOXeuALPZjsPhIi+viB49GpORkRbQn6akiRN70a1bI77+Ope5czeWSugcM6Yb6empnDplxGy24XJ58Hg8JCWFH5Qb6TDd8g7dFQRBEKLndDuxu+wUWAswWo3o1XoS1AkoZcqLCmC0WiVde91A6061sJicGIxmalRJRqGBhb8s4JXl4zBajdzR+I6ANkt16yaXanjr46v4j4tT0qrtdRhseTzy5SOY7CaqNY/uDleSPo63f/0ft9S45bIGauW+9XnmzBlkMhm1atUKePyrr75CIpHw1FNPERcXh0Kh4KWXXgLgu+8iG5J9tYmPj6d3794AQdtq/P7773zzzTcA3Hln7MwP8/F4vMHOiRN55OebMRiKyM8v4vRpA+vW5TJlSr+gw9CbNKnJ3LnDGDu2G9Omfc6DDy4u1ZwwN/c4DzywiBdfXEW1agkUFVk5dcrAoUNniItThb21Gukw3fIM3RUNbgVBEKJndpj5cv+X3L30bjrM7cCtC2+lw9wO3L30br7c/yUWx8WllSgVCrJWj+KhjaN4bfeTPL3lEcwUULdyHWom/P073nexnZioZcmSMcya9Q0TJy4Leg6aOHEZL720CpfTzbmic9RJqsPIliNJrqSP6ryh1sn48sCXFFijK7S7WOUO1PLy8khISAgY0F1YWMju3buJi4ujS5cu/sfr16+PWq3m2LFjF3e0V1jHjh2pU6cOb775Zqnnpk6dikQiIScnh3nz5vkbAJ88eZJBgwbhdrsZMGAAzZo1u8xHXTaXy83p00YKCqzk55vJyysiL8+E2w1du6ayceM+zp0z8d57I/juu8f47LPx/PDD4yxfPpbu3W/i669zw664gbfcev36vWi1aqxWJ9ddVwm5XMrYsd3DHpdvmG5Zx5+Ts5nRo7tG9HlFg1tBEIToWRwWXtr4EhO+mMCeM3sCnttzZg8TvpjASxtfuqhgTSlTMrLVSPad3ceO4zv45tA3DFw0kMP5h5k7YC5r7lvDvS3uRa/3jiLMzExj69aDIXut+SxcuJmN3/xOHX1dJnWcRMOqDVEopGRlhT4HFTd8VBrLchfj9rgpsF0lgZparcZoNPoDEvDeDvV4PLRt2xapNPCtI6l2vFz++usvkpOT/f977LHHANi0aVPA46+++mrA644dO8aff/6JwWAo9Z6tW7fmjTfeALxVm7Vr16ZFixbUrVuXnTt30rBhw5i97XvuXAEGg8Vbupxv4vz5QoqKnNx9dzv++9+vGDs2h6lTP/EndL7wwipGjVrILbc8jcViZ86cDRHtZ+7cjdSvX5Vu3W7i0KFzDBv2Ls2bXx92UG529ma6dm1UKsm0JLvdSZ8+pZNRS8rMTKNHj1TsdmepgfKCIAhCcE63k3UH17HklyVht1v8y2LW/7Eep9sZdjvfe5odZk4VnmL/2f2cKjyF3WWn5w09GdFyhH87o9XI7B9n0+WdLoxfNZ5pG6aBxM3993cmIyONd9+N7G7du3N/QI6KOVvmUDepLkqFgl69mpR53sjIbE+7ztez5DdvvnaC6vIObC/3ssINN9zAzz//zLfffkvXrl2Bv0dFdezYMWBbu92O0Wjk+uuvv6iDrSgul4vz58+XetzpdAY8bjabS20TzoQJE2jatCn//e9/+fHHHzlz5gy1a9fmzjvv5PHHH0en0130sV8KBkMRRqOJvLxCjEYLVquTXr0a8N13B8jJ+fsqxTeKwyc1tQYGgzniqpm//spDKpXy6qtf+FfgSg7XDTaZQKVSMHVqf9q2rc/s2aUnDowb15309MZIJBKmTu1P+/b1mTkz2GSCzrRtW4/evf9LXJwqJjpOC4IgXA3sLjtzt82NaNt52+bRvX73sHlcZoeZ9QfXM2/7vIDVudSqqYxqPYoJHSbQ/vr2vLHpDf/zbo8bqUTKkFuGIFfI6NWrKfn50VVuGo1mHu36KGqFN/1Fq1Uy9an+tGxzPe/M+b70eeNCEcPwzzIxWo00rtqYBPVVEqj169ePn376iREjRvDiiy9y8uRJ3n//fcA7sL24n376CbfbHTOBWp06dQJWAiN15MiRMrfp0aMHPXr0KMdRXTkWi5kzZwowGMzYbN4eah07NmDIkPBfymirLTMz01i3bnfAbdLivXKKNzRMSdGTlBSHRALnz5s4f95E8+bX8+GH4ygstGI0mklM1JKQoEUq9QaRvv+mPXs2Jj29MQUFFk6fLkCnU6FWK8jJ2cKzz37mT0KNhY7TgiBcOyKdR3w1KrAWsPdsZCMLd5/ZTYG1AK0ieNGW7xZqsNU53y3UIc2G8FjXx1h+/XIKrAUU2ApIUCUEFC1IPA7M5tD9S4MpLLRRs0bgFCGVWkZq+3je65KBxeQk31hEkj4OtU7GstzF/iIGgFFtRqGUXd7zRbkDtUmTJrFw4UIOHz7M4MGDAfB4PNx99900bdo0YNvPPvss6EqbEBssFjcGgxmz2YHH46FGDT1FRbYyr1KiqbYM15TW1ytn5sz1NGpUHZ1OTfXqel599f8CjuH0aSOnTxvRapXIZFKMRjMKhdw/rsrH7fYglUrYu/ckb7+9DpPJyr59J3G7SwfnV7rjtCAI14Zwc4avhdV7X6ASqQJbASnxKQGPOd1OnC4naw+ujegWapvr2tCnQR9S4lNKvRd451EnJUVXwZ8YpOJfLpVTN7kOL298mZ0ndqJTepviHjh3ALfn73E6Q5oNoUf9Hpe14hMuIkctMTGRzZs3M3z4cBo1akS7du144YUXyMnJCdjObrezYMECPB4P3bp1u+gDFiqew+HB5QKPx4XZbMfjkUa0UhZNtWXDhinYbM6wwZ/v1uq2bYf47LOfKCiwolB4Z44aDGYKCy3YbHasVjuFhVby8kwhG9d6PPDSS6vYtu0Qe/acCBqk+cyatQG7XeSrCYJQPmazneee+4ysrJygVYdZWTlMm7Yy6tWfWKJXR9d3smQel9lh5qv9X2G0GZm3rXR3hGDmbZuH3RX838zpdmK22KNuzB4fX7ri3+wws/XPrYxuO5rhLYdjdpjZd3afP0hLrZrKW7e9xeNdH0ejuPz59hcVFtasWZN33w0/tkepVHLq1KmL2Y1wiUkkHuRyKU4nOJ1uCgosZfY4g8CqzIkTl4XdVqdTU1Rki+q48vOLKCy0U1AQ2AlaobBeOD4JRUVWIPAXglTqnS8a7aSCq/lqVxCEK8PpdLFmTW7Mz4u8WAnqBFKrppaq9gymZB6X71bnrhO7uKnqTRd9C9XsMHM07y+qKmuxdcsfEZ2DAEaO7Myhw2eoV68qKrUMuVQecBtWr9YzuNlg5g6Yi8VhwWA1kKhORK/Wo1Pq/Hltl1u5V9SEa4dSKUOhkOLxuJFI4OTJfOLiIlspy87eTIcODcqsmunWrSGVK0dXTKHXa4NWZjocLs6dK8TjceMptiztcLiwWBzYbK6AZoiRMBqj214QBAG8s5JnBhllFMzVvHqvlCkZ1XpURNsWz+MqXi2qU+rIt+RHtd+SrTAsDguvfPsK1bTVWbd2Nw8/vJy2beuH7R4AMGxYB1q3rsvdd83huec+o9BkxuqwBlSylqwuffW7Vxm/ajzt57Rn3R/rIqpkvRQqLFA7e/YsO3bsuGab2l7LFAopMpkErVaNSqVAIpGybl0uI0d2LvO1BoOZ3NxjPProrbz99pCgTXFnzBjCPfe0RamURT071GAowul04XC4cDpd/mDS7fZQUGBDqVTgdLooKrJjNHrbixgMhSQkRD9QXhAEIVpGY+SV71fznGG5VE76DekMbjY47HYl87iKV4ua7CaSNNFNAyh+C9UX9O06sQu5RMk773yLwWBmyJC5ZGV1Z/r0QUHPQW+9NZgnn7ydZ575lMJCKzt3/MlPu47idLl4Z3vptlluj9vfx813CzTcbdhL7aIz4lauXMkzzzzDL7/8AoBEIsHp/DvqzM/PZ9CgQQAsX74cvV7MV4w1crkUlUqBQuFdWXM6paxb9xsvvHA3Q4e2D9tIMDMzjVtuuZ433/yaFi1qs3jxKIqK7BgMZpKStCQkaNi16zAzZqyldeu63H9/Fx56KHwSKcDo0V05cuTchSpUFx4PSCQgkUiRyaQolTI8HhdSqbeowGSycmG2PDYb1KmTQJMmNUvliwQjJhUIglBeRmN0gdfVPGdYo9AwpesU2l7Xlrnb5pZqqzG6zWh61O8RkMdVvFr093O/o1Foyn0L1Rf0pVZNpaBYekuo7gFJSVp/xX9BgZU77mjFCy/cgcVix2CwUJjvYHa/eSzdvZglvy4OWzBRViXrpXRRgdrLL7/ME088EbbVRVJSEhqNhpUrV/Lhhx8yYsSIkNsKV4ZMpiA+Xs2ZMybAg0wGFouDl19exWOP3Ubr1nV5551vS1UyjR7dlY4db+Tddzdw7pyJr77KZe3aPVx/fRKJiVpUKhlyOezbdxq1WslPP/3JmDE9yMhoH9CfraTMzDS6dm3IunW7MZutuFyQmKhBpVLgdntvb7pcEhQKNS6XB5vNjccjAf7+OSwstDJ2bDfGjVtU5ucXkwoEQSgvvf6ftXqvUWjo06AP3et3D9k2o7jiwY/L42LpL0sZ1mIYj371aJn7KtkKwxf0pVZNLZWuEqx7gK/iv3btyowb1x2bzRF8FuioDnxy9z0M/yyTI4YjIY8nWCXr5VDuW59bt27liSeeQC6XM336dM6dO0e1atWCbjt06FA8Hg9r164t94EKl45U6sZmc6HRKJDLZXg8ThwOF0eP5vH448twuRwsWjSKLVue4KuvJrFt21SWLRtLlSpxZGd/T1GRDY1GgVotQ62WYzCYOH3aSH6+CbPZhVKpRCqVEhen5rPPdjB5cp+Qt0lnzhzKY4/1Y9Om/dhsNlJTa/F//9ea9u1vpG7dqrRqVZ++fZtxww3VSEhQUlhoRiaToNEokculuN3uCwPlTfTokVpm7tywYR3o2bPJVZncKwjClafXa/9xc4blUjlahZaU+BQaJDcgJT4FrUIbtG1FZW1lWtVsRaMqjZBJZCz+ZTGta7Vm0M2Dwu4jWCsMX9C37+w+EhODB7zFuwfs2XOChAQNS5aM4cUXVzF+/JLgs0DHr2DWfzex4F/ZYatbL/dEAp9yLyO89dZbADz++OM89NBDYbf1zf386aefyrs74RJyOFy43R4cDid2u+vC7UUPIMFicbBq1S7WrNlNamp1atVKIiUlkaNH8zl92oDV6kAmk6FUgkQiIyUlkRo1ElEoZBgMRbhcbqRS74qYwWDh6NEiZs1aR5s29ViyZDRFRTYMBgtJSVp0OjXnzhnZu/c4CoWMvn1b8O23+3jmmc+Crub16JHKwYOncblc2O3e4NLl8ja+tVo9HDt2nilTbqNdu/pBexuNG9ednj2v7t5GgiBcWUqljKys7mRl5ZS57bW2eu90O7G77BRYCzBajejVev/KGm4JdrsLR4GcRxq/gF6v8TaQ3b2Yhz5/iLduf4vmNZrz/q73I7qFCn+3CNl3dh9qnSyi9JbMzDR+/PGPMqtyc7K30KL1dQxuOoTZ22eVev5KTCTwKfdPzKZNmwB44IEHytw2OTmZuLg4TpyILOFSuLxkMjk2m5OiIjseD3g8EmQyGTL/IpMEt9vDwYNnsNsdxMWpsNudyOUyJBI3KpWEdu0a0bZtfSQSb2sMo9FCYqKWuDgV+/adYOfOI3g8btxuDwaDhTVrfmPt2j3UqVPpwgQCKVqtguuuS8BicdO27Y28/PLqoMPec3OP8+CDi8nMTOOxx/rx11/nsFgcBN6B91BYaOP330/RqlVtPvroAQoLrRQWWtDrtSQkqK+JbuGCIFxZcrnMPy8yXDBwNa/e2x0OHA43RqMZs8VOYoL3d7vBnsfU9U+y4dDf85571O/BKz1e59tvDga9QB4xqgMzbx3CjB/fpFFyo4BWGCm6FJI0SSjlpW+hwt8tQgpthShkcsaO7c64caED5HCN1oNZMG8zC5YMZe6OOQGNbuHKTCTwKXegdubMGeLj40lOTo5oe5VKRWFhYXl3J1xCNpv9QhDlLSyQSuU4nX9HPTKZBJlMitsNHo8blwtcLg9uN1StGs8dd7RGIoEvv/yNd98tPa9z7Nju3H13WxYs+I6iogKcTi6MfXLyxx9n0GrVpKTEExdXibg4LYmJCr75Zm/QIK247OzNtG1bj+bNa2M2B08CdTrdHD9u4Pz5QqpXT6Jhw+oV848mCIJwgVar5Kmn/hVyzvDVvHpfZLax/pvdnDtTRO/eTcANhw6dJTlZR1JSPG/3ncnkryew5uAa9Go9T3Z6mpde+JJFOVtLvZfvNuOwYWk8PmUqJrcBhUzBzuM7MVq8czTD9SqTS+U8lPYQzau2YsP6/bRqVSdsgNywYQoOhyuqqlyLyUmD5AbsO7vP//iVmkjgU+69xsXFUVhYiMvlQiYLf4VgMpkwGAxUqVKlvLsTLiGn04PHI6FSJS0GgwWr1XWhwpILK2we5HIZiYka3G4JIEEm8y75DxzYEpfLzeuvfxW0OjQ39zjjxnlnak6a1ItPPtmBzeagqMjBuXPGCyOgZJjNNtxuCS4X1KqVGFERAMCcORv54IMsTp824nS6AgJMuVziv3q12by3RQVBEC4FrVZJv37N6NmzCQUFFoxG81W/el9ktjHzf+u56642/PjjH0ET8UeN6sLrfd9klG04zau3YMvGo0GDtOIWLtxM23b16dD9ev4yHqV5jeYkaZKQy8KHJE63k3bVO2C1OJkxYx1ms50VK7JCprc8+uitUU+DyDcWoVN6e36Guw17OZU7UGvYsCE//vgjv/76K82bNw+77aefforb7eaWW24p7+6ES8jXnsPhcJKYGIfFIsdud+J0upDLZSgUcrRaFTIZqNUK5HIparWMevWqcfKkgb17T4Zt4ZGYqEWv16BQyOnb9xbOni2kUqU4tFolW7Yc4JdfjhIXp8bpdKFQyCgsjHaqgBW5XIrZbMftduF2e1fsXC4pLpcbuVyKXC5HKpVU1D+ZIAhCKXK5DLlchlarvGpbcPjYHQ7Wf7Obu+9uy8yZ60NeiI8fv4TMzCPMfGIuZoeZYXcvDPp+MpmUhg1T/NWYc+dspHXHIdy99G7cHjepVVMZ1XoU6Teko1Fogg+4T9Swdevv1KldxX+OePTRD3jhhX8Hbcvx9de51K4d2V0/n5pVqvBKn1dQy9UhK1kvt3LvvX///mzdupWXXnqJFStWhNzu2LFjPPbYY0gkEu64447y7k64hLRaJQkJSsxmKxaLHZCgUMhRKLw/HhKJ5EJumhKdTolWK+P8eWjW7DocDjeTJy8P+d516yazePFofvzxD+66a1bQq7ExY9L5+ONtuN1unE4H+fl/5waU/HLv338Kl8sd8LjVasflcmO1lrxycuF0SlEoZGi1Kv/nEQRBEMJzONycPW1ia9HBsBfi4E1D6d27CfVuTC51kZ2YqCUzM42MjDQsFjt5eUVUqhSHWq1AgZQWNVqw4/gO9pzZw4QvJvBg+we5v/lY1q7ZHbBKJpNJ2b79Kb5Y9SuDBrXzv/+pU0YcDhcdOrxYqi2HRCJh69amUfXUTNRr0Wqja8p7qZX7zPXAAw8wc+ZMPvroIzIzM3nkkUf8zzkcDo4cOcLnn3/OK6+8wtmzZ2nYsCHDhg2rkIMWKpZSqSA+XovBYL0w3sRN8Z5kAAqFDLVaSXy8FolEhk6nwWZzYTbbQq5+JSZqWbJkTARXY2lMntyblSt3YjLZqVWrcsgvt0aj5MQJA3XrJmM22zl1yohWq6RKleocO5bPoUNnLlSueo/Zu4rmRqlUlvpMgiAIQnBGo5k+fZpGnIi/atUvpabZFL9QD3bbdMzYbkzv/TYZHw/miOEIerWefzf8P557dmWpHOWGDVMwmaz89ttxxo37exb1/v2n0GiUpKbWCBKMeS7Mo+7MxIlLy/wMsVqVW+4+ajqdjs8//5zk5GQWLVpEs2bNOHPmDABqtZpGjRrxn//8h7Nnz1KjRg0+/fRTFApFhR24UHH0ei1yuYzk5DiqVEnw51QoFDKUSjkJCRqqVEkgOTkOmUyGXC5BrVZgNtvIyysK+b6ZmWls3RrZ1di33x6gYcPqGAxG4uM1rFkzmbp1k7nvvvl07vwy9947nw8/3IFMJiUlRc+ZM4U4HC5q1EgkO3szw4cvYN++k6Sl3XihYa8ds9mGy+UiLk6L2+0CxK1PQRCESJgtdiwWe5lpKDKZlNTUGrhcnoDmv74L9VmzvmHixGVB+5c9MG4Rb736rb9/2eCbh7Bl49GghWQ6nZq8vCJ/YObrXedyuS8EY52CHt9nn/3ErbfeTEZG+FmgmZlppKc3jslcwoua9XnLLbfwyy+/cN9996FSqfB4PAH/UygU3HvvvezYsYOGDRtW1DELFUyhUFClSjwqlYr4eDVJSVoqV44nKUl34U8t8fFqVCoVycnxeDwSPB4PWq2KSpXigr6nryz63Xcjm/36zjvfctNNtfB4FEgkMGPGev+Xu27dZFavnkjduslkZr5D27bTSE9/jU6dXmL48AXUrZvMf/97D2+88TWvvfYlnTs3QqdTolZ7g02z2YrT6Qg7QUMQBEH4W2KCNuyFeGKilvHj09m69UnmzMlk8OC2JCRo/AFUpBfqOdlb2PrdUYY0HcqgxkN5d+4PQbczmaxUqhQXNDDzdgAIPpj9X/9qzo4dh3jyyf78739DgzZa/9//hvLEE7fz889HcTpdYY/3SrjoNb6UlBTmz5/PrFmz2LlzJydOnMDlcpGSkkLr1q3Raq/ucRn/DB6SkuIwmSwUFHjweEChcCOReKtBpVIJarWchAQVSUlxOBw2Tp82olJ5E/SD3f9v2DClzKuxkvlnJpOVG29MYd26Pf4rqkhun06cuIyMjDQWLx7NrbdOp02betSrV4VDh85isbhwOt0Xhs2LFTVBEP45wjWkLStBPi5ORXKyLuhzoW5pjh+fzsiRnZk8eXnU/cuyl99LodEa8pxRfCUtO3szX301yd+awzeYffHi0bRsWYf5871tomQyKZmZHfB4PLz++leo1YqQs0B//fUvRo7sgt3uirlVtXIHasOHDwdg6tSp1K1bF5VKRVpa+HE9QmySSCQolTKqVElAo1FjNlswm70NDhUKb0VofLwGnU6JUinD5ZIilcrYv/8kOp2aESM6MXHisoD39C1TBxMq/8zb+FYS0OE74quynM20aFGbjIw05s7dyLJlYzh69BxVq+pQqxV4PGCx2IDgK4CCIAjXErPDzPqD65m3fV6pzv/FqytDkcklVKqkK3UhHu7iOTt7M6tXT2TSpF4R3Tb1+e23Y7hsHswmZ8htiq+kTZy4jC+//JVHHulL8+a1/YGZbzB7dvb9OBwuHA4nGo2CNWtyeeedbwGCzgJ1u713W266qQa9e8dev7tyB2rZ2dnI5XLmz59fkccjXAFSqQSpVEZcnAoAicSDXK7A6fS2tlAqpeh0SuLiVEilMuRyORqNnL17j/Ovf7WkWrUEhg5tH/Cl9S1TlxQuubR//1t44onb/V/uqLtKL/ie994bgVarQKWS0717Y/+UBN/tW1/LEUEQhGuVxWHhlW9fYcfxHeiUOhpVacTv537H5XH5qyuHNBvC410fDxmsKRUKXCoPo0Z1Yfz4Jf7Hw108+1a2PvxwHGfPRt7gvm7dZOLj4nA7wmdj+QLBzMw0brvtFkaOfI9+/Zrx0UcPXJgv7V0lczpdrFmTy8mTRsaPTw9IwfHNAg1mwYLvufXWmyM+7sul3IFa1apVsVqt4nbSNcA7LkqO2WxDoVCg00nRaLx5hhKJBJnM2zjW4XCjVstRKt3Ex6spKCjis892MmBAKx57rB+tW9flnXe+JTf3eMAytS8YK+s25qlTBZw8afD/PZLbp8WZTFYSEtRkZKSxatUvQackZGV1p1ev2LtiEgTh2hS0H5hec8ma4DrdTg6dP8Ko5llk3Ogkz2CiUqLOP2dzya+LMVqNLP5lMW2ua0OfBn1C3gbVaJT07XszGRlHyMnZHNHF8+HD58jKyuGttwZHdLy+88L0N9YwaVLvsK00fIHgihVZuN0etm49hNvtbasxZcpHpVbJbrutGYWFoW+nlvTbb8coLLQSHx96OsKVUO5ArU2bNnz++eccP36cmjVrlv0CIWZ5bw26UCoV/hme8hI/Gd7bo3I8HhcqlXfFSiaTc/p0IXPmrKNt2xvp3bsJffs2xWi0UFBgIS5OFTCsuKzbmCVX4cLdPi0pMVHLsmVjMZvtYackZGV5pyRMndofhUKG0+nC4/FOYfA29xWrbYIgVAyz2c6aNblBu+ZfqotGm9XF7k1G3p37RdA5m5/cfQ/DP8vkiOEI87bNo3v97mHz1c6cKeDhh3vTvn19vvrqt4gunnfsOEJcnCqqoelKpZyDB08HTaUp7vDhczz22Ac89lg/4O/zRrBVsvPnTRiNlrD7L6mgwEKNGolRveZSK3fV50MPPQTA008/XWEHI1wZTqeLuDgVMpkEjcYbhMnlsgutOGSoVHI0GgUymYS4OBUSCRQV2ZBIPCQladBqVezefZxdu47gdHpX3eLiVFitDtLTG5ORkRZRFWjJsutQt0+DycxM4/z5QjZs2FtmPtvChZtYuzYXq9VBUZGNoiIrRUU2TCbvn7FY9SMIwtXFbLbz3HOfkZWVE7Q1RVZWDtOmrYx6xFFZ+5z23EomPLg86D4njl/BrP9u8rfD2H1mNwXWgrDvqVYryMh4h44db+S11+660GuzbFKppFRftZJ854X5878jIyON555bGbJ6s7iWLeuQlOQtVCx53ijOaLSQkBDd6ljxFiOxotyBWrdu3Zg+fToLFy7krrvuYteuXRV5XMJlJJFIUKkUJCRoLtzqlKJUylCpZCiVMmQyKRKJhIQEDSqVAqlUisPhRiKRodGoqFkziSFD2nP+fBF33TWLpk2fol2752nR4hkeeCCHRx+9lYULR2KzOcJeiZUsuw73BSzO92VPSUmMuB3IrFkbkEi8Q9tdLg9OpxubzemvPhXBmiAI5eXLkQo1LNzHd9FYEb9vIt2nrx3G4KZDACiwhQ/U9Hot8+cP59VXv+Tf/56JWl32jbiGDVMwGMy0aVMvbNDlG5rucnmwWOxs3XqIIUPmkpXVnenTB4VspTFgQAskEm/HgXB91A4ePENiorbMc4hP06a1SEi4hgK1evXq8eabb6JQKPjoo49o3bo1Op2O2rVrU69evaD/q1+/fkUeu1BBfIGYSqUgOTkene7v/AmlUo5OpyE5Od7f4sJsthEfr0atVqBUyunRowmvvfYVDz64uNRV3Jo1u+nY8UW0WgU2W+iKHp/s7M2kpd1IZmZamY0MfRo2TMHlcmMyRZeLUFBgxe32jp6y2Rz+26BWq5OiIltE7yMIglCS3e5i5sz1EW07a9aGiFepKmqfC+ZtZlCToUglUhJUCWG3lculbN36B4sWbWHfvpOoVIoyA5/q1fVYLI4yg67HH++H2WwPSHM5fPgct946nUOHzvLeeyP47rvH+Oyz8Xz33WO8994IOnduwHvv/cDChZv854ZQfdRuuKEqZrO9zHOIz/DhnXA4Yu8ivdw5akeOHCn1mNlsxmw2h3yNKDyITRIJqFQyrFZvIKXRKNBogk+RUKlkOJ0eVCoFlSrFkZKiZ+PGfUE7SfsYDGaefPIT3ntvRETHI5VKmDixF82b12bFim3cc0/bUlWl8HcftjZt6mG3OyPOZ/MxGs0kJGhwuTyAd1XNbneiUsmxWkGrdYmcNUEQomY0mqO8aLRcdK5atPu0mJz0bdCXBHX4QM3pdDNnzgagdIuMULp1a0R8vJrDh88xaNAcXnzxDj7++AEKCiz+ysyEBA179pxApZKXSnMxGMzMmLEuaCuN2rUrs3jxaHbvPk6zZtf5zw2+Pmo9etzE11/n8uuvx9DrNfz1V54/iAuXFpORkUbbtvU4e7aAxMTY6v9a7kDtvffeq8jjEK4guVyGy+VGrQabzRW0g793xc2bs6bRyCko8OYu1KlTlYcfXlHmPvbvP4VCISszuTQzM40ffjjAs8+uJCMjjbffHoLT6eKJJ24nLe0GZs36hmPH8v192Gw2By6Xp1zL1Xq9FpfLHfCYb0VNrfaOoVKE6TMkCIIQTLQJ7EajmZQU/WXdZ76xiHtuvgelLHyA6AsAfRfGubnHGTq0fcjARyaT0rt3U2QyKb16NeaZZwbw449/cOedM3E63f6gSy6XMnx4R1JTayCXS0t1CYDAVhoymdQftM2YsY5p0wbiAaZO7U/nzg04c6YQpVJOo0Y1uO66yiQmakhI0FBQYOX//m9mqWa4Pk2a1GTEiM60bVuPIUPm8tFHD0T173g5lDtQEwPWrx0KhaxYtacMh8Pbzf/vakipf2VJIpGg12vJzy9CLpdTWGiJ6CrO5XKzbNmPjB3bnXHjcoJuU7z0u+QVVUqKnm7dGpGdfT9xcUrWrt3j78Mmk0nZuvVJdDp1RFVG4M1FiI9XcfRoXsDn9JXL22xONBp3Ge8iCIJQWrQJ6Xr9xa/gRLvPqpUSqVbt+jInFBQWWhk/Pj2gQbnL5Wbq1P60bVuPuXM3BvzO7dfvZtxuDx988CNvvDGIl1/+IuRK1oQJy4iP1zB6dLeQK3WVK+uYOLEnt9/eHIvFzqlTRqpXT8TldvPOT3M4Yz7Nfzo9zncb/uDee98NOJabb67FsmVjiYtT+ZvhhppM8Oyzn3HddZWiLj64HGJvTLxwRXhv9zkAb+AW6pafSiVHr49DpysEJBgMoW91F1e3bjL//ndLdDp1yCuxYH3TfFdUe/acYNeuP0lPb8wbb3wd8HrfcnyfPk3KXJL3GTu2G/n5RRiNZn+/OKVShlqtvFBAIcPhKDunThAEoSS9XhvVRWNFBAfR7jM5SY9aoSpz2xo1EqlbN7lUg/L27eszdertfPzxA5w+XUBeXhFJSVpq1Ejkzz/PA/Dtt/vLrMKfPHk5mzZN4dixPG69tRm7dnmHsicmannooXSGDGlPfr6ZP/88T2Kihho1Elm0aAvbtx8m897O3N8tlWnTPmdRTun9/PrrMebM2eBv2hvqdqpvMsGLL96BUhl7YdFFDWUXrh1yuQy1OvQ8TIlEglqtQC6XodUqSUqKQ6GQkpRUdvsMX0PD//1vPbff/mbI5NKbb66FxeII+T6jRnVh+/bDQb/42dmbqVRJR9eujcos7R42rAPdujXi8OFzmEw2TCY7JpMNo9FCXp6JwkIrLpcLqVR8PQRBiJ5SKSMrq3tE22ZldauQ4CDafapUZe/TbLbz/POfM3HislIB4JYtf3DrrW/y/POfo1YrePvttfz3v19TaC9EpZNw111tmDWr7OIGg8HM1KkfM3x4J2bP3sDYsd145517Wbv2YapW1fPvf/+Ptm2n0b//W3Tu/DLDhy+gbt1k/vvfezh1ooCvv8oNGqT5ZGdvplWrumRkeEdc+i7+t207xJ49J/xBWkZGGt273wTS0qk/V9pF/3R4PB4+/vhjli1bxo4dOzhz5gzgnVzQqlUr7rnnHgYOHChOeleBwFuf4RvBJifH43Z7SEgo+3ZjyUa3oZagvSOegt9uvOGGKowc2ZmBA2cEfd5gMDNo0ByWLx/LY4/dGjAlwadJk5qMG9edrl0b8euvf5GXZ8Zms+F2g1QKKpUKrVaBw+FGKpVQrVpilP+CgiAI3t+ZvXo18Q8ND2XYsA707NmkQiYUVPQ+I233kZ29mebNa5OaWpPU1Op8ffBLbm1wG3aTJ+Lihlq1KrFmTS5vvrmGTz7ZycqVD/Hf/34VdN+5uceZOHEZw4Z14Iknbgt5TvAxGMxkZLzDBx9k0b59/aDNh305akVmCwoNZd4OvtwknmCZ4xE6evQod911F9u3bwcolYTuW51p2bIlH3zwAbVr176IQxWCadmyJbt27aJFixbs3Lnzsu7bZLJgszn57rsDjBu3KOg2vvyxe+99t9SXViqVBCxB//77aX78cSqZme+UGgK8bt1/sNudpKW9EPaYEhO13H9/F+69twMKhcw/JSEx0VtlVFho4fffT/Pnn2ex2Zz+qynf8SiVchIStFStGk+TJtfF3CgRQRCuHmaznbVrc5k5s3RwMG5cd3r2rPjJBBW1T7PZzr/+9VZEwVbTprVYvHgUWq2SLcd/oGX1Nhz+PZ9+/aaX+dqS54jx49OpWze5zBSW1NQavPfeCNq2nRZym8REbUDhmUajRKdTU1ho5ezZQuLiVKjVcnJytrBz5xHeWzgcq8dEFV2VMo+7IkR6/i532Gg0GunSpQtHjx7F4/GQlpZG9+7d/eOkjh8/zoYNG9i0aRM7duygW7du/PTTT+j1F1fZIsQGb4NGb++1nj0bh7yKCzevM9hw3Pff/4GxY7sFBH6ZmWns3XsioqDJYDDz2mtf8t//fsX69f8hL89EYqIWjUZJfn4RBoOZOnWq0LhxTQ4cOMXu3cewWh1IJBKkUgluN4CNpCStv1+cIAhCeWi1Svr1a0bPnk0oKLBgNJrR67UkJKgv2azPitpntO0+HA4XWq2KDrU7sun7g9SunRzRa4ufIyKZJeqj06k5fbp0s15fdWqDBtV44onb2bTpQEB+nVQq4bbbmvF//9ea5GQd99wzmz/+OMtb/7ubzce+p32ddticNlTysvP3LpdyB2ovvPACf/75J5UqVWL58uX06NEj6HYbNmzg//7v//jzzz958cUXeeWVV8p9sELsKN68ViKRMHVqf9q3r1/qKq6svLOSsrM3s2XLk/6CA98X97nnPuM//+kb8fu43R50OhWVK+vYuHEfDz20tNTV5ahRXenfvwUffbQDo9GMSiVHp5Mik3l/SdntophAEISL40sp0WqVF92C43LuM9p2H2fOFJKUFIfLDa+++iULFoyIqLhBp1NjMHj3Fe7CviSTyUpi4t+VrsVXzywWB3a7E4fDRVrajRw6dI5jx/IxGMy43R5WrvyZlSt/JiMjjZycUby/8AfadLqOgctv59kez1JZW5nmNZqjiZH2TOVOHPvkk0+QSCTMmTMnZJAG3lFTc+bMwePx8NFHH5V3d0IMcTgCe615PB48Hg89ezbmk08eZOfOp/nmm0fYufNpXnjhDpKTdRG/t8FgxmAoYvz4dKZPH0S/fjdjsdhZvfq3iMZJ+aSl3YBer+W1175i/PglQefejR+/mP/+92v+/e9WSKVSrFYnJpMNs9mO0+mhsDC6X1SCIAjXimjbfcTFKfn117/Izzfx22/HI5oqA96Aq1o1b9Pd4hMKylJ8xGDdusmsXj3RX53aufNLpKe/RlraC/7iA9/zxeXkbGbXrj95cGJXhn+WidFq5J3t71AnqQ7r/1iP0x0bF+vlDtSOHTuGUqnk3//+d5nbDhw4EJVKxfHjZZcNC7Ev1Fw6t9sbsOn1Gq6/vhJ6vQaXy01CgiaqWWsymZQJE5aSmlqd6dMHYbe7Ih4n5fPUU/35+uvcsBMTwLuC9913B2jW7DpsNgc2mwOTyUxRkRWbLfKVQEEQ/nmcThdms52TJw3s23eSkycNmM22a2JWsK/dRySaNq2FWq1gxYrtFBRYAfjss5/o3v0mMjPTwr62deu6JCV591VyQkE4vnPC+PHpLFkyhlmzvvFXp8pkUlJTa9CmTT3cbg8PP7yC2bM3sHjx6FJTB+bO3YjNaeeo8SgAu8/sxuKwsOb3Ndhd9oiO5VIrd6CWlJSEWq2OqJpTJpOhVqtJSkoq7+6EGFKy/MThcGG1OrBY7FitDn+Svi9RXyqVRFw2PnZsN+LiVLz77n3I5VJ27Trs7zEUap5bSffd14F69ar4x56U5Z13vqV58zqYzVaKiuzYbC4KCorEyDPhquZ0OzE7zJwqPMX+s/s5VXgKs8McM6sEVzuz2c6qVb8wYMDbtGz5LN27v0rLls8yYMAMVq36BbM5Nk7y5RVNu4/hwzuRk7OFn38+il6vpW7dZJYuHcO2bYd44IEe/nZMxQOo/v1v4c03BzF2bDd27z7O2LHdA1bJIrFjxxG6d7+J7dsPsWjRlgu913qyY8fTvP/+CKZNG8icOZls2fIESUlafvrpT3+bDp/ffjuGudBBg+QG/scMVgOnTacpsIYfWH+5lDtHLS0tjU8++YQDBw7QoEGDsNseOHAAo9FIz549y7s7IYb44hen04XN5iwRuAXOzPQlroYrG/clf/7f/7Wmd+8m5OUVce5cIWfPFmC3OwImDvjmuYUaBXL//V3o1+9mzpwpjCoRtqjIhl4fx5kz3n1qtUlBR2kJwtXA7DCz/uB65m2fx54ze/yPp1ZNZVTrUaTfkB4z+TdXI7PZznPPfRayfURWVg7DhnVg6tT+FV7VWZGcThd2uwuj0YzRaEGv16DXa/xFB716NbmQxxX6zoRvRuazz35GYaGV+Hg1K1Zk8dZba/3B0/33d2H58rHI5bILBQ7eSny1Wo7HA2fPFtC6dR0GDWpLTs5mRo7szIQJS8s8/rvuao3D4Wbu3I3cfHMtFi0ajUwmIT+/iHPnTFSqFIdarWDNmt00bFiN1q3r0b79DXzzzV7i4lSYTFb27z9FvrEInfLvFJ1EdSImu4kCWwEp8SkV8m99McodqD322GOsWrWKrKwsvvjiC1Sq4BUSdrudrKwsFAoFjz32WLkPVIgdcrkMm83hH+IeTPGZmSqVAoVCxlNP/Sug4MCX/HnvvR1xOFyYTFYMBjN6vQa5XIpSKSM/38yZM0bGjOnKAw8s5vDhc2FHgeTlFbFr1xG02uiqNfPzi5BIPNhsDuRyCS6XE49HjJASrj4Wh4WXNr7Ekl+WlHpuz5k9TPhiAkOaDeHxro+LYK0cIu0vtnDhJtq1q0e/fs0uSXXnxTKb7axZkxu0r1hWVnd69fK28Zg69XZatKhd5oxM35QaDx62bv3D3zczKUnLwIEtWLMml/nzvw9S1NWFVq3qMnnyMl555S5++ulP2re/IaIAsXfvJhQVWZHLZaxYkcXXX//GvHml+2eOGNGJli3r8scfZ2jVqg5z5w7j3LlCfyCn1Ehht3f7xlUbo1aoOXDuAAmq8APrL5dyB2qtWrVixYoVDBs2jFtuuYVHHnmEbt26lWrP8frrr3Py5Ek+/PBDWrRoUWEHLlw53tmgkeVg2O0uEhO9v6SKl40XFdlQqeSsX7+3VN+0Jk1qMnZsN3r0SEUqleJ0uklPb+z/4pacA+rrw9a6dR0eeqgXa9fmcscdraP6THq9lnPnTJjNdrRaJTab65rIMxH+WZxuJ+sOrgsapBW3+JfFtLmuDX0a9Im55p6xzm53MXNm2R33AWbN2lBhDW0rUjQrglKpFJPJGnZGpi9Ia9bsOmRSqT/txDeVZubM9UEnyniLupaQkZHGK6/cxaBBc+jfvzmdOjVk6tTbadmyNu++WzpAHDeuOz16NOavv84jkUjIzr6f55//PGhgl5t7nLffXkfXro3Iyyti4MAZQc83r6a/wfDPMrm/9f38cf4PWtdsTYL6Kg/UZLK/f/AKCgoYOXJk2O0HDBgQ9HGJRILTKXImriYOhwulUhZ2Rc1HqfROOvBNNvCVjQNhf1GMG7eIYcPSePzx2zhxIp/Tp4088cRtAZ2lfX3YmjSpyZgx3ejY8UbmzfsGiURCcrIuqrl3Wq2S48cNKBQyTCYrVarEB7QgEYSrgd1lZ+62uRFtO2/bPLrX7y4CtShF21+soMASU7c/o10R7Nv3ZipX1tG27bSQMzJ9Jj7ckzzD32knJafShJKTs5kWLWrTv39zZsxYx5w5G9i582nS0xvTq1dj8vKKOH++yB8gbtlyEIfDyYkTRm6+uRY//PB7yNU3X7D43/9+HTJY9J1vPpzyKVaPiW3HtzHzXzNRymLjv1u5v6Eif+efy+l0XZgNCjabK+jPgkQiQaXyBmVOpytgBJXT6WLr1j/Yt+8Uqak12L//FC5X6duMCxd6iwc6dbqRwkIrRqOZzp0bkp6eSkGBlbw8E/HxGuLilOzceYQ5c77B5XLzwAPpfP/9gYgHtI8c2Zn163cX+6UjobDQEvC5IhmrJQhXWoG1gL1n90a07e4zuymwFqBVaMveWPCLtr+Y0Wi+bP3TIlGeFcFevZowdGj7MkdTtW9Xj7+OGgCial4LsGDB9yxYMJyZM9cTF6dCIpHwyiurWbx4S0CAeOqUkS++mMhLL33BihXbyc2dFnamaKTB4sKFm2ndpi5de9Xn7U1vs/PYTh7v+nhMXMiU+wg2bIisok649vjil8DZoO5iQYw0IIgpHsf5ChDq1KnMlCn9/DkCixZtITt7s38J3Wf27A2kp6ficHgDObvdid3uRKmUYbFY+fHHPzh/3oTH40Yul9CxY0O+//4ATz31KatXT/Q3zg0lMzONDh1u4IknVgAS3G4PTqcLh8ON0+kuVjARGIy6XKULJgThSjNajVFtHyvJ0leTaPuL6fWxFQiXZ0UwJUVfKsfYp/hoKpkC4nXef59omtf69mWx2GnUqDq33daM77474F8lKz7BZvz4dH/glZpag/z8opD7iDZYnDvnWzp3v4EFdy5g4KKBMZMeUO69d+nSpSKPQ7iKlOxaoVAEX12SSiUBf4ZLXh0xohOrV09kyJC5HD58zv+c7xeFx+Nd1fIGgXLkcilut5uiIuuFfchQKCQ0b16He+6ZjcFgjqhCtG/fpjz55EeYzQ5kMpDJJAHjpKxWby+1UMGo1epArUYEa0JM0KujW7mJlWTpq4mvv1ikaRW+9kKxorwrgpGMpjKb7SgUMpo0qYlWq4q4ea1Pfr6ZhAQNGRlp3HPP7FLPlwy8dDo1Z84Uhny/8gSLBkMRRxy/M7jZ4JhJD7jya3rCVUculwW9VekjlUrweLy/EAwGM0lJccTHq5k2bWXInLSJE5eRkZHG4sWjufXW6QErawaDBZ1Oid3uRCKRoVB4f2zj4tRUqRLP2bMFFBU5qFxZh8lk9X8py6oQzcnZwvnzJrRaBQqFFJAglcpQq+VoNHKcTueFFTUXhYVmrFY7brcbqVSKSqUkIUGLSiXDZpOIQE2ICQnqBFKrpga05AilcdXGMZMsfTXx9RfLysopc9usrG4olbF1mr2YFcGyRlMZjWYWLtzEiBGdeOed7yJuXuuTlKSlalVvfnCw4Kpk4GUyWcN+nmgmHfjkG4tYd2Id49PGM3fb3JhIDyj3T9DBgwe54YYbonpNTk4OGRkZ5d2lECO8VZ+lbwf6GsSuWbM7YNVs/Ph06tWrUmbyqi+hNCMjjRkz1vkfT0zU4HJ5kMmkOJ0ezGYrTqecpKQ4kpLiLuSWmYiLU5W6dRqqQtSXCNunTxN0Og1qtQKZzBsEqlRS9HotHo+HvLxC8vPNOJ3FP6uLoiIHBQXeoK9SpXgcDrnIWROuOKVMyajWo5jwxYQytx3VZlTMJEtfTXz9xUL1hfQZNqxDTFZ8XsoVQaPRQnb2ZlavnshPPx31N6+NdF9qtQKNRlnq97hPycCreIPcYPsIN+nA17/Td07w5Uon6eP47affsDgsNEhuEBPpAeWeTNCiRQuys7Mj2tZkMjF06FDuvffe8u5OiDEqVfAYf9q0lWRl5fi/NL6l6nfe+Tai912w4HsyM9P8t0ubNq1FfLwmYEC695akd/pB9epJ6HQqrr8+mfh4NUlJwb+UvgrRbdsOsWfPCX/hQGKi9sJ7y5DLJcTFKalaNR6ZTIpcLuPs2aISQdrfnE4PZ88WkZdnEq08hJggl8pJvyGdwc0Gh91uSLMh9Kjf44rf0rlaabVKnnrqX8yenVGqi36TJjWZPTsjZpvdRjNxINoVQb1e4087GTOmG2fPFjJyZOeIXuubbuDxhF718wZefzemLWu0YLBJB4mJ2gt5bk8yZ04mU6b0808veOGFf6OJl3Pg3AEMVgM6pY4EVQIWi3fyjsNxZX7PlztQM5lM3HfffQwdOpTCwtD3iLdv384tt9zC0qVLxUiea4i36lPh/28qlUpYu3Z3qSvMi0koBe9IKas1+CgWj8dDUlIcNWsm43A4OX/eRHy8Oqr5dDqdCpPJTGKimsRE7YVfrBISEzUR94rLzy+6Yl9gQShJo9AwpesU3rrtLVKrpgY8l1o1lbdue0s0u60AvpytTz8dz65dz7BhwyPs2vUMn376IP36NYvJIA0CVwTDKc+KoG+1zpd2smHDPm699eYy9+Ur6srJ2cyePcfR64PPhz548AyVKsUFPOcbLRhsHyUDudLD219mwIAZdO78MsOHLyAhQYNSquR6/fUkqhOppqtGvCoel8s7b9pmc1BUdPlnuZY7UPvPf/4DwNKlS2nevDnbt28vtc0rr7xCx44dOXToEMnJyXz++eflP1Ih5sjlMuLiVKhUCjwegpZ863Rq8vODL2OHkp9vRqdTM2xYGj163ITJZAt4XiLhwugRCQ6HE6VSSt26VahdO4kTJ/IZPbprRPu5//4ubN/+x4XiAXC5PEgkoFAoiI+Pw1Xsu2i1OjCZLBQUmDGZLP4iA/CurBkM0eVBCMKlpFFo6NOgD8sHLWfT6E18ee+XbBq9ieWDltOnQR8RpFWQ4vlaDRtWv5B0r4q5250lXaoVweKrdQaDmdde+5K+fd/ggQd68NZbg4Pu6803BzF5cm/kchkrV47nhRfuQCqVMHbs36t+vlWwTZumoFbLA1bpDAYzTz/9CU88cRtvvjmo1D62bz9Mz55NGD26S6nh7cXl5h7nwQcX8/rLa8keuASNQkOvG3ohdQf+t/R4PFitjssarJV73fuVV14hPT2dYcOGcejQITp27Mizzz7LY489xqlTpxg6dCgbNmzA4/HQs2dPsrOzqVatWkUeuxAjFAoZ584Fn62p16upWTMxZD5AMJUrxzFlSj+aNKmJ2WxDKpUgkXhz4Hy3JIELY6dsaDQKZDJvFabT6QqYYhBKZmYanTrdyIwZX+NwuJBKJSgUUlQqFTVqJPjfz2ZzYDbbSg2it9tdWCw2tFpvoCpW1IRYI5fKkUvlaBXaK55jI8SeSKo4oxUsf++PP87Sq9d/A4q6rFYner0GiQRycrbwzDOfUVBg8ecR33FHS/r3b05GRho//HCAxYtH8+OPfzBt2koeeaQvbdrUC2i9ZDRaOXDgNH/8cda/D6PRQlJSHBqNgg8+2MYDD6SzceO+spvvZm+hbdt6NE5LoFu9bpgtdtweNxIkyKRSFDIFADab87IF5BLPRXauPXv2LMOGDeOrr75CIpGQlpbG/v37OXfuHAqFghdffJHJkydX1PEKJbRs2ZJdu3bRokULdu7cecWO4/Dhs3Tu/HJA8JWYqOXrryeTmKihqMiOyWQlL68oZO+0xEQt//lPH+66qw1Go/cXR2Kilvh4NU6nu1Q/s8JCC4WFVn9VktPpbaGhUMhISdHzzTd7g7YCGTOmG507N+CDD7Zz4kQe4AakqNVKkpI0JCZq0Gq9jXSdTu/nsVqduFxO3G6QSkEmk6NWe69z4uO9wWjduuJCRBAEoajIxtq1u0v9/r355lo88sittGtXD4lEwnPPfcbChaUvqBMTtaxb9zAJCd4c4pdf/oJFi7bQpk09pkzpx8SJSy8Eb4eYP/873G4Pc+Zk0rnzy0ilEn/A57vIjo9XM3t2BkOHzosoDadp01p8/MkDmO1mXO7ABQUJElRyJXKp3D/HurwiPX9fdCZplSpVWL16NS+//DJTpkxh8+bNeDwe6tWrx4oVK8R8z6uM0+nCbndhNJoxGi3o9Rr0ek2pK6yS2yUkaNiy5YmA4Ouhh9KJi1Py9de7mTdvY9jeaQCLF49m584jIWaxdadnz1QsFoc/GPRNSPApPp7q/HkTHTrcQI8eqRQWWvzHGBenYt++E6xcuQuXy0XlyvH4AjWpVIpEIqWw0I5Wq6aoyIFE4sFstvsDNV8fNV+gptUqL0xeUFzC/yqCIAhXD4nMQ9ceDUjv6Z0i41+ti1fjxgVyN7vP7OGhR7rRvFUt3p27KeB3fq1aSfy2+yidO97Et9/u96+CmUxWKlfWBbReWrhwJB6Px5+fnJt7nBMnDGRmppGRkYbFYsdiceB0uqPKlTYaLSi1pfPqPXiwOm2o5SBzSi9LtX+FlPzs37+fZcuWIZFI/CseZ8+eZe/evSJQu4qEa0ibldWdXr2aoNUqI2pcO25cNkOGtOe551aGnK/m6522dOkYJBL43//Wk5MTahabd0jwE0/cRlGRHY/H266j+MzZ4txuDwUFVgoKrCiVcvR6LUVFFrZsOeCfbmCzOXE63UgkbjweKXK5FKVSSXy8CrfbjdVqRyqVYrE4sdlsWK0uPB43EokUlco3TkqCRqOM+ZwUQRCEy0UqA5vFhtVjQ6mVUTXOW43vwoVcIufsGSPu8zrMHjvpvVLpkZ6KwVhEnsFEkj6OxMQ44jRqXHZ3wHio06cLqFYtwR+Q5eRsZvDgdnz88Q6Sk+MZObILb721xn+r9L775pObe9y/EhcNo9HsP+5gbE47SvnlKRi56EBt/vz5TJgwgaKiIhISEnjhhRd4//332blzJ5mZmXz11VfMnj0bnU5X9psJV4zZbA87JD0rK4cxY7oyeXKfiBrXLlo0mrVrd0c0jHfw4LYcOnQ2aJBW3MKFm2jbth5duza6MBHAm5tW1nB4u92JWi0nP9+EVCrFanUgk0nRapXY7XZcLikyGcjlvvdzoFarsNu9q3cWiwObzXXhNqh39c3pdON2u/F4nOj16pDtSgRBEP5pPHhQqeRYrU6cLhcyqRSNXMO6dXuCXuCPHNWBjt3rsfiXWfye9zs96vWga72uVKNuwCrYkCHtOHjwtH+Os2+O52uvfUXlynF8++1jdO3akNdf/yrg3BOun1ooiWWM/vLgweV2Apc+WCt31WdBQQH33HMPo0aNoqioiLZt2/Lzzz8zbtw4tmzZwqRJkwBYsmRJyKpQITY4nS7WrMktsyGtUinnq69+K3O7JUu2IpVKmDXrmzL3LZNJqVZNH9G24J396W0NIicxMQ6ZzPv/Q7V+kUgkqNXyCytvEhwOByDxr6h5PN5bnh6PFIfDhd3uRCqVYLdbkck82GxOf36dyWSmqMj7p9lspajIjs3mnTtqNtuC7l8QBOGfRoLE/3taKpWgUWh4/vnPA3ps+uTmHmfC+BW89eq3TGz3H86YznBPs3v47vB3GI1/dwzw9eR87rmV/nYcGRlpLF++jfHj0/nqq8mo1Uo2bSo9gD1YP7VwmjathUYnQ6WSI5OGCZOkF5XiH7FyB2q33HILH3zwAQCPPfYYP/zwA3Xq1AFALpfz+uuv8+WXX1K1alX++OMPOnbsyEsvvVQhBy1ULLvdFbS1RnG+L8mcORvKfL+GDVPIz49s8G/DhikBY5/K8ttvxygstKDTqUlI0CCVSpDJvCXyKpUcmcwbeMlkUlQqbw6ZTCZDKpWgVMpxuyU4HG7kchlKpRyZzFcc4K1elctl2GxuJBIJBoMVuVwOSLDZ7BQVOSgstFFU5MBqtQES5HI5+flmiopEoCYIggAgk3pTQeRyGTqNhnVr95Q9mSZ7C1u/O8q4tg9gcVj45tA3JCb+varl68m5ffsRnn76EyZO7I1UKuGNNwZRt24yL7zwOS5X4K1Sn7Ia45Y0fFQa7+6ax6vfvYJGrcBuu5AqU6y6XyIBuaLcIVRUyr2XI0eOUK1aNdasWcOLL74YNFeoV69e/Prrr/Tu3RuHw8HUqVMv6mCFS8NoLDuoiqZxbYMG1TCbgzepLak8s9gKCiz+nLDi4018TXg1GgVqtSIgb8xXcu50ulEqZYAHu92Ozea6kIPmurDa5kGtlmG3uzGbvb3TvLdAPUilHtxuyYU/wW73Pm80mrFarVF9BkEQhGuVQqZAgvcuh8clLXMhwGfBvM30rX8b+ZZ89p3dh1on9a+CpaToUShkbN36JFOn9sdisREXp/L3RVMqFRQUWEKeo3yNcYcObR/2GDIy29Ou8/Us+W0xi39ZzIbDG9CovUVjNrsTi9mOy+lGpZL7P+OlVu5ArW/fvvz666/06NEj7HZVqlThyy+/5PXXX7+wOiHEGqPRUuY2kQZUiYlannwy8kaJ5ckdKD4kWK1Wkpio8Y+cKkkq9U4ZUKuVaDRKtFr5hd5oThwODy6XB/D+abd7MJud2GwO5HIJIOHMmULOnzddqPx04XY7sVpdmM12zp83ceZMITabHYcj9JB6QRCEa4nD4cJisWM220OOVlLJVUglUgqMoYOnkn777RhFJjvVdNW4Tn8dSDyMHdudunWTefnlO9m160/uu28+/fu/jV4fx/r1e4vd5vQE3CotyTfaKiurO9Onl26M26RJTabPuIusyR0Y/lkmRuv/s/ff8Zbddb0//vyUVXY5dWaSDCQEEnooQqQlJobQlEjxcfEnLQmXIhpEaeL3wgUBeeBDveGqXJAmXBIpiuVeQBQMEPHSBKQHEggkIZl+ym6rfOrvj7XPnjmZdmYymUzCfj4e85iZvT9nlX3OWeu93uX16gHwnq++h1Zr7/0s0twzYG/m8PbmqCOnf/qnfzqi9a94xSu48MKN+YtNOb4czFdtXzYaUF1yyTn8v/93Leeee98NmfFee+0Out38NpkE53lKnjfTqHVtCSEipSDLknUBY7MuI8Y+IYSJ36eUghAaxekQmoEBKTVlWVGWhhAiQsR1wViSCLyHsjQMBgZjLFOmTJlyV8Y5v5+eJTSlRWMcWbZXxmnNR3a1tzpZtxHh86WVAWcsbuLKX/0Qf3755/iNF13AP/7jS9cNCPzu7z4BIeK6Muc112xjfv7Q96h9ZT3e//4XIISYSIfkXcn7vvEe/vhvXjIJ0gC+t+t79Os+MQYigZnxJKipPfPt4yPLdHwKrGN+7ud+7nju7rB87nOf41d+5VfYsmULrVaL+9///rzuda9jNDpyO6DnPe95CCEO+edf/uVfboezuO2s+bMdio00Y+41YP/8hvsBvA/s2TPYsO3ToUyC2+2UhYUOmzZ1WVjo7JfVCyGQppK5uQ7z8y263ZQkUWNXAkWn02TnZmY6xNjIe+S5IsZAv18yHNbjoYKawaAixkCeK0ajaupMMGXKlLs0znmqyu4XpK1xIGslLTXzc+1DGqH/zu88fl0v2sJchxuWb+RLn7+J97z783ziE99cNyCglOR5z/sFlpdH6zJ13//+drJMH/Zetrpa8La3XcULX/j+SaYsEnn1v76Cv/zqO9YFaWv0614jOWINy6s9amNIVXrcrvu3OVArioK/+Iu/4KKLLuJBD3oQZ5555rr3e70eH/rQh/jwhz98W3d1THnb297G4x73OP7pn/6JPM95wAMewA033MCb3/xmHvGIR7C8vHxU2z3ttNM499xzD/hnYWHhGJ/FsWFff7aDsdaMeaiAat8+to32A1x66bmcfPIsj3jEvTa09khNgvclhEiWpSwuNrYiWaZptTStVkKr1QjYtloJCwvNE1OaKoZDOzFn995hrcd7h/fNEMZwaNFa4tzxmf6ZMmXKlDuCuj60DNLB1s3Pt/n0p195UCP0fY3SH/zgU8m7invOnsE733E1Skl+5Vd+bl3m7H73OwVrHXv2DNftZ+0eta9H6KF48Ysv4H//738nSTRROLYPtx907Ww2N662QIiRum4EdI+X3+dtahr75je/ydOe9jRuvvnmSZR9a5mE2dlZ3vzmN3Pttddy8sknnxDlz69//eu87GUvA+Bd73oXL3rRixBCsG3bNp761Kfy9a9/nRe96EX8/d///RFv+/nPfz5veMMbju0B384cyJ/tQBjj+KVfevBB1+3bx7bWD/DBD76Ys8++J3/1V58/gDju+Tz5yQ9Ga8W3vvVTfvd3n8AjHnEv3vOef9tv7UteciFPeMKDjtgkeD2RNNWUZc3iYpc8txjjJqXSNG2mR4VgnMIX1LVjdbUZKGh00wRCRIQwlGWTgWsEcKeCt1OmTLlrYq0/aCbt1sQYsdZPFPtjjLztbZ85oPfyvtqbH/zgi/nmd26gjgWqyPne97bxwAfebb8htm43Z2WlOGArzrvf/W986lOvPOy97NJLz+FRjzqDD37wy1x66S9QxAHX7bnugGvPOuksulmXXdU2EpmQp03rzaAY0c7zA37NseaoA7WlpSUuuugitm/fztlnn82znvUs3vSmNzEYDNatE0Lwghe8gN/7vd/jYx/72AkRqP3hH/4hIQQuueQSfuM3fmPy+t3udjc+/OEPc//7359/+Id/4Nvf/jYPechD7sAjPX602ymvf/3TeMxjzuTtb99fkHDfQOlg6045ZZatW+cn/791P0BZGlZWChYW2uR5wpVXfomisJx8covzz78f1jaG6r/0Sw9mMKjo9w9uYXU0NDIdkKYJxrhxJm19j4EQjYxHI6Ircc7ivR//iftsS+C9xzmLUs2o9pQpU6bcFbl15sh6iw+BSNzPrHxtfZKosUbn9w4YpO3LlVd+kUc84l5cdNFDSDLJj67bDRx4iG04rMbX7nS/3ubV1YJnPvMv+fCHf5NHPvIM3vnOzx3QZeexj30Aq6sj3v3uS8kyzYe/8Q+EeOCBsBc+4kUMhyVaKiKB0pSkOgGpqUx9G5MHG+OoA7X/+T//J9u3b+dxj3scn/rUp5BS8qd/+qf7BWoAF110Eb/3e7/Hl750aOX548FwOJz0iu0bpK1xn/vchwsvvJCrrrqKj370oz8zgRo0wdpFFz2UJzzhQfT75V5/trG0xVqgdKh10PwyfP/72ydNo5/5zDW8852f4z73OXnSRPqDH2znrLPuzste9oT9LKnWTHUf8pBT+ZVf+Tke/egzj5lF05pEh5Ryn+ArAgKlGk22JJG0WulYzFaT554QPEIEhIAYmz6JPNfjoM6Mp0SnTJky5a7HWjLNBUftzHjycS/Og/F2Yla+tn4jGp1rvOc9/8aTn/wQoheTAbcDDbGt9Ut/6lPf5YUvPJ+XvWxvW9X8fJunPOXn0FrxC79wHx7/+AcyHNb0+yUzMzlKSd7//v/Ha17z96yuFhMf6V/9xf/CP3z/77lh9YZ1+3rOQ5/DBfe8gFt27N7308A4Q6rBhxO89Pnxj38cIQR/8id/gjyUci9wv/vdjyRJuP766492d8eMb3zjG9R1TZZlPPKRjzzgmvPOO4+rrrqKL3/5y0e8/c997nN873vfY2lpifn5ec4++2ye+9zncvrpp9/WQz8urBmbt9spp5wyd8TrnPO89a3PZGGhQ1kalpdHLC52yPNknWE7wO/+7uOJMfKmN623pAohcs0127jmmm185CP/waWXnsvrXrdxyY+Dkefp5JiN8Vi7vrdM62aoIE0VS0sFSjXToHneiOnWdaOnppQgSSRKJYQAQqipPMeUKVPusgjRBGmVO7iw975m5ZlqrtUb0ehcozFCL5jfnNHuJpMH/ltnztZ60e53v5N52MPuOSlz3utemycen8973nv3e+h/0pMexP3ut5VPfOKbk3vQmo/0JZecw/teeQW/+jdPoVf1eOBJD+SFP/9CHnfm49i2cwkf9r++u+BQx+kB/agDtR//+MekabqhSU4hBLOzs/R6+09THG+uu66pQ9/jHvcgSQ48Wrs2EHHttdce8fY///nPr/v/P/7jP/LGN76RN7/5zbz61a/e0Dbe9a538e53v3tDa7///e8f8THenhjj+dGPdh3SsP05z3kX559/Px772AfwqU8d3rrqAx/4Ao9+9BlcdNFDb1NmLc8TsiwhRmi1FEnSZNRijAjRZNTWtl/XJe12SqdjWV4eUZYO8MSoCcFhjKTdFszOdsiyhNFoKs8xZcqUuyZaK/rlxkTMa2fotFo45ycB0Ubp9Ur+6ea/o18O+K3LHstLLvvriYLAy1/+kcm6K674Ip/85Mv527/9D175yidx7rn34eEPP50///N/XWcftdYz/+Mf7+Hyyz/FRRc9lL/7u5dw2WVX8rWv3TCRBrniii/y6EefwT9d/M8gAyEGrvrRVcQIxh742p6kCh9P8IxaCAGtD+6xuC8xRobDIZ1DONEfL9amORcXFw+6Zu29lZWVDW/3Pve5D5dffjkXXngh97znPcmyjG9/+9tcfvnlfPSjH+X3f//36Xa7XHbZZYfd1vbt2/nP//zPDe/7ROFwxu5rTaOf+MTLJgHTRtPi73jH527TxCc0T4ULCx2Wl4cY48ZZwf3XpKmm1cowJpIkitnZFlnW+HpaC0mSorWk3c5JEoX3Yb/fA2s9znliHFuNaDVprp0yZcqUOxUygIiwkXkCEUEGrInrZDc2Qmcm5R+/8o9sH2znU899Hhdf/JhJUPbc5z5mEoTtO6z2la/8mMc+9v78679eM3l/fr498QItS8toVLFlyywzMzn9fslf/MVzEIJ1VZ6//MurefwTXsLQr/Kb/+c3uWbXNTzhzCeSpymV2RukirEdoVLi0D6gx5CjDtTufve7c/3117Nr1y5OOumkQ6796le/Sl3XPOABDzja3R0z1qx+0vTgZbQsywAoy8Mr9q/x2te+dr/XHvWoR/G3f/u3vOQlL+Ed73gHr33ta7nkkkvodruH3NbWrVt5+MMfvqH9fv/73z+i47y92Kix+5VXfpFzzjmTiy56KLt3D44oLd7vl4ctfzrnMcbT6xX0evsPI+R5wuJil8GgwhiH92GfjJokTTUzMzndboKUcTJA0EhwSNac0pRqfnW8j3jv6Xb1ZP917ej1SsqynkyUtloZc3OtdYKQU6ZMmXJnwAdPlq0NWR2aLNNUtUGE5iH3SMTMk1bguj3XEWLghR9/Hn/9+o/wiEffkze84f/whjc8fZ2CwNqw2qte9SSEEBMJj31LoP/1v/7VASs7j3rUmbzhDf+HX/7lB0+qPGv3mFW5TDtpAsx+3aOVzGK9m1RdlG6CMyUkrTw7mo/ziDnqQO2CCy7g+uuv5/3vfz+///u/f8i1b3zjGxFC8IQnPOFod3fMyMfjtMYcPI1b100dvtU6vGL/RnjLW97Ce9/7XlZXV/nsZz/LU5/61EOuf/GLX8yLX/ziDW377LPPPiGyb0fSNPqOd3yOJz3pwRuyrtqXXq84ZN/crYcS1lib9HniEx+ElJI8b7xAi8KOZTfW5DkS2mOl6TxP6HQylpYaw/VGG6gJ6GKM1LUfT0IJOp2UJGm84JaWBiwtjSjLGmMCMQaEkKTpiNXVjE2bOmzaNDMN1qZMmXKnIRLHD7qMnQn2X7NX1khha08iminJ3/qtC3nJS6487D5+67LH8tffuWIyffndnd/l4n94Flc840oe//gHstof8uhfuCdPvughDAYlyytD5ufb4ypJ89A/P9/mQx/6Td7+9s+sK4GusW9l5w1veDpPfvL/5ClP+Tk++MEX8+Qn/0/2LPfYdOocQ9NotM3lc3gDWb5/qNTptE98r8/f/d3fRQjBW97yFq666qoDrtm5cyfPec5z+Od//mfSNOUlL3nJUR/osWJNdPZQgrZr7x0rgdq5uTnOOussAH74wx8ek22eaBxp0+hwWG3Iumpf9vX4vDVrZdfLLrtyv6e37373Fi677Er+8A8/xr65+3Y7YX6+zeJih/n59iRIgyZIT1NNlslx2VIipSRGgZSSJGlezzJJkmjyPGFpacC2bSvs2TNgdbVkMKgYDAyDQcXqasmePc37S0v7T0ZPmTJlyonKWkCitaLTycYBmRz39UqyTNPpZHsfQGPTbD8yJU94wgO55JJzDrn9Sy89hwsfd38+9J0Prnv92t3XUvuKL2/7f8wupMzOp0BAKUW3nSOVoDQFyytNYHXJJefw5S//6IBB2r5ceeUX+cpXfszFF5+z7t8zszlaaa7bc91YP20G49b3qCkhme12ydP0xPf6POuss3jLW97C//f//X886UlP4mEPe9hkWODZz342N954I1//+tex40a8P//zP+ce97jHsTnq28B973tfAG666SastQccKFibTl1beyxYK7U6tzF15zsbR5odW1oactppm26Tx+caGy27rg0l/PIvP+SgAo5CCLKskfBIU02nk+O9QGuBMX6SfUsSSZ7ndDoZaaqx1rFzZ4+VlRLnHKORoyyrSY9anud0u812lZIsLs5Me9amTJlyp0BJhfN7711JcuieWy01hamIREpX8tr//is8+tFnHrTa8fjHP5CC/sS+abG1yG8/6qVcdO+nYAawuT6TalXQaiV89B+/zv/4H/8yGVR46lN/jte+9ikTC8PnPe+9Gzqn973v33nf+57P29/+Gd73vn/nAx94IVlb8r5vvJsQA7/xiN8ghkCWpnuv+1pPRG4FYp123O3JbXImePWrX82mTZt41ateta789jd/8zeTm+D8/Dx/9md/xiWXXHLbjvQY8bCHPYw0Tanrmv/4j//g3HPP3W/Nv//7vwPwmMcc2tJoozjn+MEPfgDAqaeeeky2eaJxNNmxNeuqyy47fFr8UB6fR1p2fcITHkSnkx2y4T/GSKuVMzfnxtYhESE8a5praarodhPm5jrkec5oVON9kz1bWRmOy6UeCEBT+ux2MxYWuiglWFkZcdJJsxs65ilTpky5I0lUgvH766cdCIFAakk0Ee88halZ9QWPOueePO5xL6E/qOj1SubnWszOtihtydJgmc2Lczzy1EfyuDMez68/8Nlc9a/X8OzXHLjHbK2v7Cc/2cM//dO3ed3rnspFFz1kPxeDQ/Gd79xMWRruf/+tfOc7N2OtJ9fwwW99kOc89Dk89szHYq0n09m6PuY1Mn18+tPgNgZqAC94wQv49V//df7+7/+eL3zhC2zbtg3vPaeccgrnnnsuv/Zrv8bc3MH7io43MzMzPOlJT+LjH/847373u/cL1H74wx/y2c9+FoBnPOMZx2Sf73rXu+j1emitTwhnhtuDNWP3g2XHlJITAdytW+eYmck3bF11OI/PIy27rg0lHOqpMEn0+LgF8/MzZFlNUdSTX9g8T+l0cpQSSAl17SkKy44dKwyHFYNBNZb0aAK7PNfUdU5dW6SElZXhNFCbMmXKnYZMZ1Su2tA65x3ee0YjgzFNT1tVWvbQJ88SsrakMAXD3SOSLKK1xtnIXz75XQSn+MM3ffywPWZrfWWrqwWf+MQ3efazH72fi8GB2PdeVFWO2dkmyTAa1fzjTz/Kmx7/Ji4840LK0mD9vvIbEecC1nhmOx20vM3h04Y5JnvqdrtceumlXHrppcdic7c7r3vd6/jEJz7BlVdeybnnnjvx+ty+fTvPetazCCHw9Kc/nYc+9KHrvu6e97wnAP/jf/yPdUHcv/7rv3LVVVfxwhe+kPvc5z6T140xvOtd7+JVr3oVAL/5m7/J1q1bb/8TvAM4WHZs/Zh0I4C7des81nrK0hyRddXBONZDCQBZlpCmzdNTCB6lFJ1OCyHi2O+zeR2aPrYQYNeuVfbsGbCy0uiuWbu3VKq1YjSqWFjooLXgHvc4uDzMlClTppxoaKnJdU7t6gNm1gSCTGdoqbHeEnycGLQ7bwkxEseq/lII9LhsKFNNrhUSxf/7wo/p98sN9Zg9/OGnT3rMnvzkh9JuJwwGBxfkPdC9aGGhzdvf/lw+8IEvMDff4kVnvgglNKbyZCqnLguqyhBiQApJnqd0u22ciTjpj9tQ2PELCU8gHvGIR/DWt76VV7ziFbz4xS/mzW9+M5s3b+aaa66hrmvud7/78Z73vGe/r7vxxhuBxoZqX0ajEX/yJ3/Cn/zJn3DyySdPypvXXnvtZO1/+S//hcsvv/x2PrM7jgNlxw43Jv3iF1/AL//yg2m3sw1ZVx2MYzmUsEaWadrtlFYrGYvi+kmA1pxv4x3aaiVkWdPDsHv3kJ07+xSFwRiLc2GfQE1iTIIxnjSVVNXBLyhTpkyZciKipUaneuz16ffx+lTrvT5twLmATgWjoqT2Bh/93hKiUGTR02m3iC6QiJTPXHUNj3jEGUfcYyYlfPGLP+Ttb/8Mn/zkKw5Y2TncveiFLzyfmZkcYsSaQFUZhsOasqow1uFjRAlBVVlM5el2M4QQ00Dt9uZlL3sZD37wg7n88sv5yle+wq5duzj99NN5xjOewX/7b//tsFpn+3L22Wfzute9ji996Uv88Ic/5Ac/+AHWWrZs2cITn/hEnve85/GUpzzldjyb24fDaZLdmnY75XWveypnn31PPvKRr/DWtz7rkGPSL33pB9fZQ23EuupAHK7sui+HGkrYlzTVJIkal2gT6tqM5Tbi2LhdkmXp2OFAIURkeXnIYFBQlg5jAiGESf9bM6Tg8d6xZ09CVU0tp6ZMmXLiUBSGut4rV5RlyUErGYlKDtlIb+uA9ZbaV0TtUBLwYtyyK1ASonLUvgIyMp3xz//8HR70oFOPuMfs0kt/gYsvfjc/+tFu3vvez/Mbv3EBv/M7e6dHNyLZ8bKXfZj//M8b+f3XPAklNLv3DBhVBT7szRxaoLKWoqooqzZbNu+9T9ze/MwGagCPe9zjeNzjHrfh9QeaEgQ47bTTeNOb3nSsDuuEYCOaZLf+JS5Ly+pqwY9+tIv3vve/cvXVPzhsCvtY2EMdq6GEffHes2lTF2s9WgfyXGFtJIQwlucQJIkmSSSbNnVZWhpS15bRyFLXnhCaJ8q1wE5KSQiREOI42za1nJoyZcodT1UZ+v2KENbf3+raMRxWzM7m5Pn6a/1hnVeipDIVxjeVAynZzxM8EjC+JhMJ/X7Fzp2DDfWYrT92h5R7Bwje/e5/28/FYKOSHVdc8UXOfuQ9uOjJD2VQjIhAZSt8cJPzVFKTJzmDYoRakXQ6+XEJ1I6P/8GUOxUb1SQrir2iwWVp+dSnvsP27au84x2fpSgM73jHZze0v3e843MYc/SeafuWXQ/F4YYS1iPodlucfPIs7XZKliW0WimdTkarlU6eNk8+eZZutzWR7gCBc47BoKAoSqqqpihKRqNiLM0icG5v78aUKVOm3FFUlWF1tdwvSFsjhMjqaklVNdd65/x4ot3ifVM18D6MH1LrsQh405O2USKwujpiOKxYXDwym8n5+RbLy3tbkdaspS677EL+7M+exUMecioXX3wO733v5w+xlb28913/j+BBJYLVcpVe2Wd12Gdl2GN12G/+X65SuZr+aLjuHnh78jOdUZuyP0eiSXbeeffh8Y8/a6zIP+LMM09icbHD/e53yhGPSW/EHupQHIuhhH1JU42UkpmZNnmeTtwJvA9jqylFt5uTJHrypCiEmLw/O9vG+73yHNCMdje+oBLnNmKaN2XKlCm3H/3+4ac419ZpraiqgwdgMUaqypLn4LFIKcnIMcEQ4/6tHkJIUpnifGBxrs211+6g1UqPzHIqUfv5ia5ZS1188Tl84AMvwjl/RPeiXq9EJjAYFtTGYq1nLaWWJAqTOkzefA7DUcGmTRtvkzpapoHalHVsVJPsXvfazEMecg8++clvT8qjSkm+/OX/zkMecuoRp7A3Mol5ONrt9DYNJazfVkaWVVSVIcsStFZjX9BxClxJlJLE2EyIZpnGe0+rpYHmgrVvYNcI5Ca0WpoQPFpPk9lTpky54ygKc9BM2q0JIbKyUtBqHV7gta4dOhPN0ICUtGSOD2G/YYI1Q/P+sOL0rRkPeMBWrrzyi7zgBefx8pd/5LD7ef7zz+P97/8CF1/8mP2Cu9XVgre97Sq++tUf85rX/MqGznGNfr+krmpWesX4YXsvVW0plKVrExQKc5wE7Kd3iynr2Igm2Vpz5l/8xb+uK496H7jyyi/ypCc96IhT2BuZxNwI+w4k3O9+WznllDna7eyI+98ar8+ULEuBNdsoPW4eXcuiCbIsHXt9CrrdDOcio5GhruvJ1KdzAWMco5HBuUi3m6H18fGImzJlypQDUdfrs2OlLelXPVbLFfpVj9LulT1yzq9bb72lsjWlrahsjd2n1BljhAh5tjeoU1KSqoRMp6QqmQRpADqFXat7+M3fuoArrvgij3rUmTz3uYcWm7/44nN41KPO4IorvsCnPvVdXvziCw64rt+v9su4HY75uTa37FzCe48PHucczlmcc/jg8d4zGNYUZYkXx6fXeJpRm7KOjWiSHao584orvsgzn/kout3smE9iHk+SpPG0izGitcC5sF9GbV+PO6WSycAACLyXhOAQQo6dDZoBhBAiQoA8Th5xU6ZMmXIg1rJpta8ZVkMi68uTxhsKU9DNu+AlQghccNTOYG1TLZjIcyhJklgynY6FYCWtTkogYmp3ULu+NNM4Ydg53MOFFz6ApzzlJzznOe/igx98MWeffU/+6q8+f8A2lgsvfAA/uWUHH/vny+jOZnTTLhdf/BiuvHL9PeloyqmdTsru5V6jBecCzntCBClAK0XQHi0TysoQ/fHJqE0DtSnrOJwm2eH81NaaOf/v//1dXvziC3jpSz94wHX7stFJzOPN3kBN770w7WMlkiSaLGsCOiEEde1IU0G73ZRKjanH2muRJGnKo2kqMKYJ4KZMmTLljkJKQe1rBlUfAQQfxpqRa9c4gVIwqPqkok2mE0ZVQT12GthLxPmAsQ6XOjp5m0xlRBydTkaiJcb68bbXHnQFaaJIswQXa4pCcd1Pf8J/e80v87nPnsErX/kRfv7n78X73/8CytLQ65WcdNIsi4sdKlchkkA/38YHv/8xXvLol/Ceb1zJZa/6//HwR57GX73rC+uqPGsZt43ei66/5ZZGmNdYisoQgieE8eSqULRbKbqliTLi5Z0sUPve977H1772NXbt2gXASSedxM///M9z1llnHatdTDkOHE6TbCODAj/5yR6e8pQ/42Mf+53bbA91R6L12sCAwxg1lttYG0eXpKkmy5retxibvjOtFUI4wKOUIITGYgrCZIxdqWb9lClTptxRZFnCcHlI9JHKOMKtsl7WgRSCLNUUfoRSHdwhdLpjhKp2CEoWZuaIIiNS0dIpsnRNgBdASMgSTdZuwo9WljFUlqKsuObG63nw2Sfxvsc9n8GgYnV1xObNM5yydZblQY9rb97FTDulriP3mr8vf3DhH3DV9Vfxv778v7jym1fy7Ac/h/d/+GLKoWOlN2JhrkNrRpPKdOJicDAuvfQcLrjgfnz2P/+Doi4x3iIEeCcgBLyUyDRivIUaFje3wd9JBG8/8YlP8JrXvIbvfe97B3z/rLPO4s1vfjNPfepTb+uuphwHDqdJ1u3mGxoUuPHGJZ7+9LfxwQ++mEc96kz+8i9v+yTmHYHWCq0VaaoPqRskZeNU0PxbjoOxve9pLSbToUkiuZWk0OF1iaZMmTLlWKIbL+Kqtge1Wg+xeT/TitrXZPLwRuSVsUQR6KQdrPOMRgU+BpQSML6kueCJo0in06adSvLE4Hxju3fj9h388Kc30223SLRmuGuVepshSRTdvE0U4IVn1/ISczMt3v0f7wagV/X4y6++g3d97Z3cd/N96aZdhmbIdXuu4x5z9+CKV3+Ic845sCrAb/3WY/nFC+7LtTfeQGVrklQxGtSMihLnmVgHqgq6nRadjiJEz8Sq5nbmNgVqb3rTm3jjG984qT9rrdm0aRMAS0tLOOf47ne/y6/+6q/yute9jje84Q23+YCn3L4czij9SLRu1sakr77693nMY86kri1laZmfP7pJzDuSQxm4Ayilm19kJcYCt429iJQQwl53grUs21pQ1zTp7t/D4X0zgLCWsZsyZcqUY4nxhiTRRA5tZxcBkQpstGQ0gZrzjYPBWo+alHu9OwUCHzyEBB1S8gSsN41Ty2S9JFEpOqS44Gi1Muqx6n/tLT5EVgb9yTUzSxPaeU6rlTWKR7Em+MjQDPn+7u+vO94QAz/Y/YN1r92wegNP+fAv89nnf47zzr8vw2HF6mrJ/HyLdjvlmh//hH//9n+yaXaeauTwJiC0bM4pOJyPaCXQSiO0xJtAPXIkx8mY/aj38i//8i+TwOv888/nv//3/855551HljXfSGMMn//853nLW97C1VdfzR/+4R/ymMc8hic96UnH5MCn3H4cSpNMa8nmzTMbbs487bRFvA/8x3/8mCc+8cEbGu++M5JlCq0hSRJmZiTea4xx49JnJEkUWjd2I2narHfOb1iXaBqsTZky5VhijEWngtnZNqNhhXFuPwmNVGs63RzjaiQCHxzW2WYi8lb9bE45Ep2Qt1o43zyArnmDFkZg2WtunqiUdtr0Q5dlY9JuvUWrBJEK/D5BnZISpRp/USkEQkms92Rpzkq5uuHz7VU9tvW3cfVV11LVhixNcdbSL2u2LM5w0t3bICAaRVlZrLVE6UB5kkQRgycIsFZQCsF8S4E6PnqYRx2ovfWtbwXg137t1/jIRz6CuFUKME1THv/4x/O4xz2OZz7zmXz0ox/lrW996zRQu5NwKE0yrTdu2fRbv/VY5ufbt8ki6s6A1oJOJ8OYwHBYMxo1VlNNiVPQSHkkdLtZ02CbyA27E9S1u0t/dlOmTDn+rGnQqgRac5I4BF9FQgwoIUnSSGtGNr6cvslUBRGoaoup3X6BWpppVKJABpzxJFmcTIlGIkrptcongcDIFGQ6JVEJS6uGVpajtaUcRkztcSGgpSRpNQ38iUqoKsdMq42ImtoYFrP5IzrnmXQGgmRpeYiWCt1SdGYUITHURUpoBSQKb0AEgYiqsQO0Hq0a83kRBN40gwXWnuDyHF/72tcQQvDWt751vyBtX4QQXH755Xz0ox/lq1/96tHubsodwFp/1oGM0g9VHl3j0kvP5YlPfBCt1onbg3as8F6wdes8RWGwttFZszYgRCBGidaMhw8UJ500jzHxoN6xtybGiLV+2rM2ZcqUY4aWCT6MqExJbTyBQJpL1uRVA5GiMGSpR6Jw1lN7SxxLDK3d9tf+HUOkrixaSdIsxwVHNZ4+cNbvJ+ehE0XlaqxtekOcDfR7JaO6HvfrRowQGO/xNjA3p2inqtmGFxTW0E27PPCkB3LNrmsOe75nnXQWbd1h1+oedAZEh5ARH6GsArNZxBSemAQ6ecb23QWrg35T5h1/KlolzM/MsnVLl6ADpjrBM2rGGObn57n73e9+2LWnnnoqCwsLGHN8fLGmHDuc8xjj6fUKer2SubkWc3Mt0lQfU8umOztp2kxznnzyHGla0O9XJMm+gZpkdjZnYaGNUgql1k8T2LUL2Tr5j72BmXPTQG3KlCnHjnbaZvvqLqrqEMMEIVBVgUxD9Jp6nEGSSnJrKcgQI3XdWEcttAW1M3jnqY3Dmv0DtSRVZKmmchXOBnqrBYPKNIEgEgEQwdvIwBsIBe20hZOeNEsY1kP2LPd44c+/kFd88hWHPd//+vAX8KVvfY+h7YOS4APBC9omZ25mFhkSghfY2tAfjYg42lkL4zTeg1KQaEXE0R+NmJnJiMfJCvCoA7UzzjiDa6+9FmMMaXrom3Fd1wyHQ+5///sf7e6m3AEUheHTn/7uxCJqjQc96O5cdtmFPPGJDzpmlk13dtrtpiTc6bTIc83MTHs8JOARQpFlkm43RamENFXk+bgpdzxM0Ex9rpf/SBK1j/zHHXyCU6ZMuUsRRSAho6Dx+zS1w5nYTGgKiU4Eaa6bIC40PsWMs2iHsoSKTmBcTYiR0ajGGE9ZGqzxhBiRQqDTppzprMfh6I+GOBfIVUrhSupQT7adyYxWkuJcYDQsSRINItJu5dy8awe/eL8LePZDns2Hvv2hg57rsx/6bM497Rd4zxc/jkQ3umhIMpWgVIKtHTIIhFKsDIaMQoHUEuUiRNmEjTEihURqySgULA9SkvQEl+d49rOfzWte8xquuOIKXvjCFx5y7ZVXXom1lmc/+9lHu7spx5miMLzpTf/3gKXN7373Fi677EouvfRcXve6p9Jupwcsj/4sMTvbZmGhzdLSiBAkWieT9H2TIVNoLZFSjIPZFs75sdl7I82xv/NBM3DQ6WRk2VQgd8qUKccOHzyJSshos3tlFbePyr7FQw26DGxZmMe7QKoVNnhKW1KZGuvcJPBKtCZPM1pJizxLMNZSG0+/XzIaGqyzNPm0JtaTpaAcGTrdlICjrCxoGA4H+ww17C2pBhwz3RlKY+gai8cThKfdyvnhjTfzynNfxSNOfQTv+dp71pVBH3jSA3nhw1/Iuaedx4c//jn6qwXGu4kQOV6Q6oxu1mJkaxZ8IIZIrCX9UY2pLc47QvBIqaiMIrUpM50MOSNx7gTvUXvlK1/JJz/5SX7nd36HJEm49NJLD7juiiuu4Hd+53c477zzeOUrX3nUBzrl+OGc59Of/u4h+88APvCBL/DoR59xlx8U2AidTsaWLXM41/R1NL54cq/+jmoEJtvtlC1b5piZaTEa1YxGFmNs88RpHSHEsbSHpt1OcS4Zb//EstiaMmXKic3htBmd9xAjVRGYyWYZDIeUrsIFj5aKls6ZaXepioDWEJQnioCtPMXIU5U1PkSUFGQtgep48jSAbJwKRoOaXq/ABocNbj95Dhc9rucgSOpY47zBa4cQAeFBjMM6oQJeOUZmgBAzeOeRqcDXEes8wQW+9f3ruf+Wn+Ovf+2DDM2QXtVjLp+jk3S55gc38tf/eBUrg1HTl+fBuYhOBEokhBApTEW7k2FChVYJvoZyVDGsy3EvsQAMQgi6LtDWGVJITDzBnQn+6I/+iPPPP5/vfOc7PP/5z+cP/uAPuOCCCyY9a7fccgv/9m//xk033cTc3BznnXceb3nLWw64rde//vVHexhTbgeM8bz97Z/Z0Np3vONzJ6yzwPEkSRRbtszgfaDXK6gqh7V7e86SRJDnCXNzbbZsmSFJFCsrlsFgRFnWDIeWojCT9e12ijEJrVaGlEdmcD9lypSfXTaszRihLCxCRnr9UZNhkwmJbB4OXfD0h0PmZjvUtSeoGltZVnoVVWXwsbGEcgKcK/DWIaJHKUk3bVMZS+UNxhmquqK2TVZNIkgTTStr4XUKTlDZGp+Oe9hl00I2qbMSCdFTe4+2Gi/nyZIEBpK6rJuSLPDjn27jxz/dxkynTZporB7xg9XtfPfan9AfFYyKinpksWOJkMoGtLDkIUVJQYiWgMdaT2EqkkQzJ2ex1uKiQwtNohQyERSmaj5nd4IHam94wxsm054xRm666SauvHK9XMPaD0qv1+OP/uiPDrqtaaB2YtHrFYe0iNqX73znZvr98mdmaOBgaK2YnW0RY6TTyRgOK6rK4n1sBBuzhJmZnG43G5c9A3Vds7IyYmmppChGFIXDe49SinZb02532LTJkeeaqrLTYYIpU6YckiPRZjR1oDSGsi5Jc8moME0AFjxKKrI8pZUnlHWJlJr+aslw1PSehRibbF2ICCkQWmGsY9fSCCE06XxOaUpsrFgZ9jG3KhFWDipbszg3izUBP860xYOONTRCukkiiTi8lSgkucoYuZraNIK6UkoIJZ08J6aREDzgKYYGbyJCSqQHEUAKiZASb2Lz/kJERMGoGtDppvT6NeVo1FhfAQJLmiq6WZdON22M7N0J7kxw/vnnH1KWY8qdl16vPML1xc90fxqsORdo5uba5HmjlVbXe0uZaapptzOyrFk3GlUsLxfs2jVgz54hy8sF1lY4J9A6onXKpk0W7x1ZlrBlS83MzLT8OWXKlINzJNqMEklR1pTG0B8NcK4xZV+rlVauZlSNmO3MkEoY9hwGR1VZjKtxwU0qAFpqUp2R5wmDkaXbqRnUBaujPjoRCJngzF4nA50IlBasjvpkpPgAC/MdSlONJ+AjY08ElBIkiaKV5gjd2Dn5GJt+OW9wwRKiJ4pxABkFpTfIIHDB4kIg0QnGNhlF5xxEASI2IuRtTaITIhHrPVEKyqrGhhEiDWgh9pqyJwEbRpQVdGdaEE7wqc+rr776GB7GlBOJubnWEa5v305HcuciyzQxxrE36P4m7msZsSzT7NxZs2PHKrfcskSvV1AUhrK0eB9QSpKmFu8tdV2TJJK7332Rk066g09wypQpJyzW+iPSZhyVFSEEVvo9auObwGsfWyghRVNq9D26eRsfLKWtGVZDLJ4YA2vBlAiSxNVE0WV+punvKquKEMA6h7WOGEMzHBDBekmSaJRWOGFIsxypBalPid4Rbx0EKo3UgkRpkkRT1R7jKqpxCdKHveK70QUCnkRFauuJrhEet6EJ0oyz+OhQQgMRGyRSZkRACwVRMDIjjG9KtSiBWPMojZHoA5gRi36GLDvBLaSm3HWZm2tv2CLqwQ8+ldnZaaYHmvJnnjdPqwfyBhVCTPpDiqJk27ZVdu8esrw8YnW1mFxom542yfx8B2MCeZ5QFEeW5ZwyZcpdj0MNCDjn16/1dj8rpkQl+2zLUtU1zjZrnW9KmWvXICEhqoi2ip4rqYwF6ZFagI0QIgKacqWMyESA8FSuwFjdlDKdwFiLD54QIiGCFCBkINpIjoYkMDuTYepGvkNJCUqvxYAoKZt+uNpz8sI8UmhqM6LyhiiaoNMHPw4EJUIqooDKG2wZcM5T1hXGlXhpiYlHRkUUBi88xgXKWmHqNjGM9dKkwhOIMRBcIEiQAZRuSq6JVKSJJhyn7/s0UJuyH2m6cYuoyy57LGk6/TFaY83N4XATV6urA/bs6bFt2wr9foUxfuKfp1QjCGmMp6oMWaZZXR3cgWc1ZcqUO5KNDAisvbWvbdO6bXgw3pLpFC01NtQUdYXOBMpIirpqgrW1TJZq+tTSTDAaeEZmSDYjaakEhaQsHC4GtJBkmSJvaYJ0DM2I+U4HJPjgiF5ha4cNnuADUjWBjsoUXjl0kkEaWUhm2LM8pCorrPP4GFFCkGhF3spZWOyiM40MqpHNMI3Zu4uOMC57ShGw0YMLyJhDgKK0lL5AJpJMpShrx2s1UiukkhR+RGm6RBmRChZmZ1le7WFqg/UQLQgJCOi0NAuzsyAjQRyfUG16h52yH1qrDVtETSc+D8yBMmr7Mhg4duwYsLJSUBRNL1rjndc8FUoJdZ3gfaDb7TMYHJ/poilTppxYbHRAANiwbVOuIcaAl4HhoMTGGplGdBDEQDMgIAJVLPFFIJMZNYYstJprVmkIbty4FQKylrSrlPmFNtFbohYo3fhllmVFZZuyqhQS5zxWNhm2THdIkxSNRCtBK1NYozDWQ4hE2WQCW5lCK4GMkhjBWI+LFu8FdR0IrrHAkkikUshc4KQleolxFWmaYeoS7xtJkRBF09PmHULntNMWkYCMkW6nxcpyAUrSamu0iZMeNa0BJbHO021nyLtSoNbv93n605+OEILPfGZjsg9T7lja7XRqEXU7MhqN6PeHVJWjLBvdtbDP77yUkGXNIMLKSsFwOLrjDnbKlCl3GBsdEHAuUIe9tk3rk2+NtpmxjizV1Bg8ASE8xpW4tYuPAKkFMTb5OBsc+EirrclGCbt39zHWj0VoI8L7pvwYAqOyEcG9x9YtZKlGG7DRkqQJMUps5QgyooJCJ4ok1dhomyZ9m9H3BcY5hIqkuSCERiBcKDDO0R8VzOQziEQQYsTWkcrUBDyoxmkAIOCpqhoZchyOTjtntTCIEME3DvNi/OGIIJvXYyBLErxsglSZSBKjic4RNKhxGVaqpk9OJhIkJPou1KNmreXqq6+eToneyWi306lF1O1EXUdGI09RNBYrIJByMnAFNHp2QtSUZYYxx6sbYsqUKScKRzQgIJpWCecPfq2IEarakY+DDuMN3bkWxdA2EhcxTC5CUkiyNKXdTZDeoEggKKL1lIXBxn2cCYSi1c6bBi+n6eSanUueLE0pyoLRsMIYO8l6JS5BJYLZtI2rAkFHhNQYW+CwBBEQKhIQOALCRnKV443ABgvREaInTRKi1+ucDJRQCCXG9n2BNJXIWqFJ8UAMCmIgCtm0pZAilUYnkiQR1MaQtyTWKJxVKA+eiEKgRFMtyVsSZz3yOFn7TUufUw7JWs/Vz7pF1LFGSk2MnhACSjXj3yGEibWJlM3TZPNaRIjk8BudMmXKXYpbDwgcCh/Cuqz8oRA015Y815jCkLUjOtNYGxjXPtEJaBWbkqBSSOVJpaJX1xTWND21Y801qzyiFsy0WyQ51HWAoBj2C4bFiNIaXPCTAQFvHbLwJAJaSYdR4WnPavKsRSgipq5xIaDluP+t3UJI2QSiOYQkkmUJzgZq6zBmb9tIlkKWKHQiCXGEEIKWTqmCJ1rwLtCEgKCDRKSKlk5RWiCEINUJzoKWiixtIaIFF0i0RKcSLRXOQpJohDo+1n7TQG3KlDsAKQUzMy16vYqydGMpjwAIvI94Hyem7J1OhlLTbPSUKT9rbDCZBjQyGEJGcp1gTJPtujVSNJqOUkm0FiQqIc0VReXwwSFTUKjGSxMIUpHnCqqE0g1AR3Sq0bUhjPveRBQoQKcadGRYlhgTcbWk128cCSKBKEITp40lOurK0g81C52A8BVJnjIoasrC4nzER/Ai4o0j+hrZFpSipKNylBQkmaY/KCiKAuca2QyhJKY2+NhmU7eNdwpEbPQsNehcE00c+yOASjRSQwhrtU3IVIpwktHIUlQjjB1/jjUktcC7Dgs6JRHNZOvxYMOB2vOf//yj3kld10f9tVOm3BVJU8WmTV1WVytCKPHe4D0wntTSupHy6HZbbNo0Q5pOTdmnTPlZ49bdQoeS3Ah+/JqWtHRKXdcYu1ePLE00WZbus23FzGybcqVkrt1uetyMI/hAolLSRJMkzXUnUS1c8CyXfVQL5nRGVflJBUBnEpk6lsse3U6Kq2F1OCRNEoqqpq5do0s2nvpMlUaJhDRJGIyGzM7OsKc3wtaOugxYH1jT8kiUIIYaaz0nL0pykdKSOTuWdzbBaaNdC1IgYjOdaV3NyrJntpsRIlgMaS5QKsVoiY8BJSSJVuhUYDHNpTdIopMYG6nqmsp7mNhZReoAqq4xto0IEmuOx0/BEQRq//t//+9pj9mUKceIdjuh09HMzbUm5U9j1nuDttsZc3MtZmbkdGhjypSfQbRWeB82JLkhxxkuHxzGGaz3Ez9OAUQfCMaT6hQlG+HYVq7ZPLvAnuXViZNKjILgIyY6tMjYvDhPf4/BeUemFEVZUxnTbE9JpAvgBS2f0W5lWBcYFhXGVBRVhQsW69ccASIhBkQUuMRSVhXtNGU4GCGUpKo8dVVTVxYbAomUpLnG2pw8DwzaNVsXZtk5dMigsLVppDq8n2TqvFfEKGhpRTGIZLkmNym94ZBhPWr68FCARwTBjOoy1+qiEoEOCf1BiRCehfkOXZdTV3ZiT5VkCVmiEMKz2itR8gTLqK0FaQ996EOZmzuyXiVrLV/84sFlHqZM+VkjyyRZltJua4xpkecJ1tpJoCalIk2b95MkJU33XhAOp9E2ZcqUuwZJoiiqaiK5cSAikcrVSKWIwjOqK8yBNNccWONxWaCTtei0ckYmp8Qxk86CL6jKZqBACkmepsyk7bHkRURECUEAEuE1xtg1X4KxlmbzvkQQvMV4x8gUlMbghUMmYuznCR5HYZrr1wJzDIY1aabZvadPfzQi+L3Cu1IJZjsdtmyepRwY7FaJtY0bvJaaMtSUpcN6T6IUeQvaUoMThAiJSpCpR2eSGZlRuQA+gtKkWqITiUw9qVIYE3DBorXEmoAxBoNpknsANpAkHTItiXicPT7TBBsO1O5973vzox/9iFe84hU897nPPaKdLC0tsWXLliM+uClT7qp0OilKCTqdFjEqiqJCKQhBIaVHa02n05qs63azDYleTidxp0y5i6E8HFxGbe+yNFKXnrqyCCD4MNZmbAKeNSHturJkKmV+dga52iNYsN4hhSRJ9aSsKoXEekdmNUmq0FJh6ogroa49zjZ9bBKIUaBJMEScB5kKKlvicagUVNR4F1jLZSnVyFsE3DjbJljuL1NUNT44nA9rcwcoJINyhN/t6LYyqtoSvacylqU9A/rFkNo7xFh3LR1pXAnqpFmytMWoqNFak6eeMkZSPEEJpGjs/vJUo7XGGk/sONqdFsuDAYNRnzqY5vOTAh8iLjr8yCPFLFkrw/gNfGOOARsO1B7+8Ifzox/9iP/8z/884kBtypQp60mShE2b5un3DZ1OQp4rrHVj7aAwmbZtetnm0FpvSPQyz5kGa1Om3EWw3qK0JM/1+CFt/zVCjH2GRaDuOZRIGBUlZWkbj81miJNEa1rthE67RXCNOK6MmhBBiEbEtaoag3MpFOSCLE0Jsel/U0pRl45R2ZRViU0QGIQg2MAoGARN2wbSgWgmM6vaYpwhiiZgDDESQyBVKVkrQ0pJVRaUpqIwNc43ZdY1dNTYmCJkZFiUlEOHMYallR69YoRxhuDHzgRBYGSgVwwRS5HTtmTkOqNvS7RKyNJGQWQi5aE0WiUEB61UN1Gk9CAdKo1oJyGwdwJCgtIRpEOqgDpOl9oNB2pnn302f/M3f8PXv/712/N4pkw5IpzzGOPp9Qp6vZK5uRZzc607gc6bYtOmDsYssGvXgKKw42uBRIiA1pp2O+Wkk2bYsqVLXe+9QjcCuU0/iZRN2WGth62u3Ql+3lOmTNkoPjTyHPta03kf9smSyUnbw7CsEUJQDGpGQ0dpTWPhNA5KjAwEKxC+pnNSzmhQY01EBklZlBRFRV1arA8kSuJdQAGdNMeFxukgyxJKYzG1xcdAGM9PSuFRaUqWJdjgUImk002pvSFHo7Qk2DDJwMlEkihJqkEnkmE9RCWR6CzOGVyMTLQ8okdpgUpS+tUIUzh2LfWbLJoAQsDhm+lOBGlUCAG1d6yWfRKpaGct+sWQKCNKaiSSMHbqjDHSzlroLCfNoPQjWrMJSTpHXQWsMWP1t4BOm4dqnQtKX5Clx+dae0QZNYBvfetbR7yTJEk4//zzp8MIU44pRWH49Ke/yzvesd454TGPOZM3vvHp3OteW8ZCvSdeANdup+R5ykknzdFqZfR6JWVpCMEjpaLV0szNdZiZyUnThDzXVJVhOKwnIrmTaa5U0W5ndLsZeZ5irZ/2rE2Zchfg1sMDh8K5RkC7qi21t43cT4S16CiGQO0tuhYURYWWCYNhwfLqkH7fUdSG4AOCiAkRFyIEjWSIRBE8hMSRd0GlberaEINHSEWSabIUfGKJvpEfmltoUZqagsaCCUkjECtAColKJGk7JUsExtd45VBJJCdp5IpCQMhGRkQmkSIUtEyCcZbV/ojKVDgsMQUVmqyfVIIoIw5DbaE31Cy2O3RmcrRWlHVN7erJZ5KpjFaekeUJWa6ReaDdzbDWgYKQBESIuCDQMqIThVaaREKnmxH1CWYh9Yu/+Iv85Cc/OaqdzM7OcvXVVx/V106ZciCKwvCmN/3f/bxI73WvzVx++TP5yleu5xWv+Mh+1leXXXYhT3ziHW99NT/fodNpjqHVSul0cuq6nmTJsiyj00mRUpDnmlYrY/fuAUVRUxQGa8PeSaREUpaGsjRs2TKz7il7ypQpd17WdLr29qfu+27Eub39qd4Fer0RPgSkCNQuUBk7CXjyNCFJAjZYVnsl7Tyw0msCNWiCJz8W2EYIpJKE4FnpDWnJHCFBaof3hqA9WgSE0kTviMrjlSbTAqEjOio63Yy5UQeEpAoVBrFuqr3VzpnvdEmEQqcSFyPBBwK+MUCXArGW9/LN8SVKND1t0WNcjYmu0VljnDa0DhCNppsNOJkjNjuyToJUASFSEqv2HoeW5B1FmieknYjQkZlOGzvw7BmOGI0KjI/IKClFILUCMdNmrtOh3c7R2fH5OdhwoKaU4vTTT789j2XKzyhHWr50zvPpT393vyBtfr7Nhz70m7z97Z/hr//6S/t93Xe/ewuXXXYll156Lq973VPv0GAtyxLudrc5brppGWMC3W5Kq5VMWiGUEkgpSVPJ1q0zjEamMTeuLINBRVnuHRnPc83sbIuqsiglabfzO+y8pkyZcuxQUjV6XlXTs1WVphGzHT/QJamm1UqpKsdo4DDOUVeOYVUxqgqcsfgYUUKg0oSubdPNc0BAcPT6A2KEwWhIWRuMs4gIUUCqE1pZytxMl+GoQkpotzKiinjr8G4sdZZqlG7EY9tpRpJLsnZOVmZ0uxYfGm9NZW2zYRHRiabbSml3NKHwzC22cSuxsYtCIqInKoXwnqZYKtAypT3bofaNJpofBrwbN+AFxurAsnE+cAGXRLKWwnrPbDvFu7F3KHIyMCGUbHoA25JUJ6QyYaaVs92vgoA0yRDCE6InEQlaChBQe89MK0fJqTPBlJ8BDla+PFT2yxjP29/+mf22dckl5/DlL//ogEHavnzgA1/g0Y8+g4sueugdVgZNU8Xi4iwhwO7dA8rS0vTnrvWeQKuVsGXLDFmWsHNnn36/YDisWVkZsrxc4pxB65TZ2YwtW2bpdjOUkmzePHuHZwynTJly20lUgqk9dWUYDmrCrSqhde0phjXdmazRE6sde3o9RuUIFxzexbFUK0hbU1cVVavDyWKOmOQY1wRrlbVUo6Zsal0k0QKbNhJAMQzpZjkxBrrdNkqmlLHGhHoc7kS0SunkOa2WJpGSLNXMi1n2rK6StzVKSYqiGXgQUZK3NVmmMN6xeWGObcuChfkOg15CPaqpvSH6ZuYzEQmtVs7MXEqUgfasxPcts50Wg35NWRmsjePgC7SGdjtjtp0h80jW0kQn8b7pqYsqIiNE0XyN94HoJIlI6WYzVNUOOq2curZYZ9AiEtEIAlJBmig6rRxTORJxfK6z00Btyh3GwcqXcOjsV69X8L3vbVu3XinJxRefw/Oe994N7fsd7/gcT3jCg+6wQE1rRaeTAbPMzLRZXR1RFAbvwzgrljI/3yHLNMNhyerqiFtuWeX663eytNSnrveqgqepZPPmOc4882SkFAyHJYuLnTvkvKZMmXLssNYTrKDfb3TUvA9NYMFYukJJUJJ+vyb4wOqgoj8aEFykshZj/CRQSxIFqaAfBrSyjEWVYG3FcFixslJQVjUuwFoTv5LQHloWF9q0Wwnddo6LDiUjiUohkZNer0RrlFSoqOl22yRSILIWC505dq4uU9iKmASkUIRoqaxHqRYnz8+hs4S5mQ5Ly0NyrZGdAKNGkBYUaS7ItUYBMzMZMwspcnsjhaZVQqoEwbpJj1oqFFol4/cFnayFGXiE1yQKCHv9U7VSjSbcIJLOtUijwtcQRWBusUWnTijKGhdBC8jylCxPiDHgahDh+HgwTwO1KXcIBytf3poDZb96vXK/dfe73ymUpdkvgDsY3/nOzfT75R2WeUoSRZJoOh3GMhz6gNNcWaZZWhqwa1efb3/7Rvr9Cmsj3nvWLqjWRqxdZTSqSFPJmWeecoec05QpU46Mw4lXO+cpRw6NZliVGOPGgdrYLkpJ0lTTzVusDocUVUE0ksFoRFXW1NbhQ2isphKFawVmOx1sXVLnbYraMBxVlLVlZKrGPWCM1hohJINRxWZmyVSGFJLKeZwJOBcm05MiBHItSfOUVtJC5RCNpp21OHl2Ez0xYlTWeOdRStFpZczNdGhnOYjA3MwMy8sFpSmpTE0Qa6Gow5um3Jh32izMd8laio5us1wvMRpZ6okzgSS6gI8SPwoIldDJciSSuXaH1cGAqg6Yeq+ZvPCCdidjrj0DXmOcIElSpJCUtqD0BicNIDEEQnBgMzpJF52kCHt8Qqij3ssZZ5xxROvzPGd+fp6zzjqLX/qlX+LpT3866niJkEw54ThY+fJA3Dr7NTfX2m9Nt5uzvDw6omPo9QpOOeXIXDaOJVmmiTEeduy+rmuuu24bq6sFxnhC8OP1jSaQUpIQNCEErrtuOw996Gl32DlNmTLl8KwNBxjjmgnHSaDWBF5r4tXN4FDTd4ZVmKoxOV9zD8iShFRk1Dhq46hKT1FWLK+W9EdDgguTtVJLZjsRLRWtTsZmCb3VEYUxeFGhVCA4sbenTXm8qCiMYNiraN8tI5pG2iIRCT4IfHAomaBRjYMBmjTRqKAp6hotE5wvkUKRZpoQFVIIpFA4H9EywYdIXTm6nRznHGIYqGqPx6NQpJlgtpsx02nhjUOGnE6rQ3TL2GBxmMZUXcpGqkMJZBDgUhQaJRTRS4KReBvHgXEkBo8WimAk0Uu0loyGhk7eYk8RMSOPNQZLoBGjg+gtKmo67Ugnb2HcCTb1eWtuuOGGyb+FEPuppR/sva985Su8733v4wEPeAAf/ehHecADHnC0hzDlTsyBypcH49bZr7m5Ng960N3X9bQNh9URl/vm5tpHtP5Yo7UizxvtsybDtv7BRYjGmH337orl5R7OBUajiqqqx/1sTelTSmi1MqRssbw8Yteu4g46oylTphwO5zzDYTVuXziQy4jHWke3m2Oto6oMo6JmWJYUpsIHNwm+SqMx1tNttagqR10Ztu9ZpTaNyXhUEREgykactqgKtu9xdDstamsYFiXGVdTG4jz4OO5LA4IRhGiRSlCVlmgjKPA+UtbVRJXfeUuoE7IsAQUajffgXGSlP4IokUqRkSFiJI4nSomSlf6ImbSDtYGYBrKuJsgUWdVACrim3NjWxDSAlYgywXjL/EKbAPR7UFARnG0GsETCbLfD/GKH2ljqEURRYEINBLRUazMNICIm1IwKxXDQItMpxhpkUORZgk4kxru9JV6lSKRGBoWxphG/PQ4cdaD2/ve/n9XVVd70pjexsrLCeeedxwUXXMDd7353AG655Rauvvpq/v3f/53FxUVe//rXE0Lga1/7Gv/wD//ANddcwy/90i/xrW99i/n5+WN1PlPuJByofHno9XuzX2mquOyyC7nssisn71977Q5arXS/AO5gPPjBpzI7e8dPR+4rZHmwEki/P8A5wWBQUBSWqgLv3SRQU0oSowEiMzMZg8Hgjj2pKVOmHJTRaJ8pzmp/8eq1KU4harwPDEcVS4NVClMSrMdEj4yBICSpkNSuonY1pjT0+kN8cNhocdHggqcZg2wyacQUHSSrowEn1fNkWYJZdpTG491a4Nh0tQnARY3WnjRNGY0CIq+xqkYkAekjXghUjIjUY1VNbROq2qOiphiVqKioXDXurfPE8VSnIuKEI9eN8G5LtOlXqwQcUTIOpgQiKoQUBByuFmRzLcqRHwvuRhAOlXkyZONMICQ6bV4PQHSwulKiZx1CghYaFxwueBKpkCiEjIzciJVBwj1OPonSVmilmG/PU1uDcfUksEt0Sp5kjb+qrdDZCWbKfmue8Yxn8MhHPhIpJZ/97Ge54IILDrju85//PM94xjN43/vex5e+9CVe9rKXcd1113HhhRdy88038/a3v53Xvva1R3sYU+6kHKh8eej1e7NfWiue+MQHcckl50x63LwPXHnlF3nBC87j5S//yGG3d9lljx0bCZ8YHCijtob3YSxm6ej3LdY20hxrZVIhJMYkgMCYxt9vypQpx5/D9ZxZ65vMV92IV4dbjXEa4yiKmm43QwiBtZ7eaMCwHOCCxzhPbTzKg1dglSLDE73DGaisRaQe4QMeTwhhIvDvZCSRGpF6gojY2uGjIUkSEuvAS0KAQGgCGBVJlCBNE2L09FeHpAu+6dOSkahBBoiqUd0IwVHWFaNBwWhkCaLxxjQmYKxv+t/GflZaaUgDqXKEKBnWBbnsMhj0GI5GTVA3Do6UcQg/w+xcl8qPA0oj2bO6gguGqDw683glUd4TFZS+ICw7Fk6epawM7VSxOhgyqgp8CKwFo0pKOnmb+ZkuRlucd7Q6KbU1+BBIk4Q0WT8wEMdf1+qkBGFu/x8qxobwR8Mf/dEf8YMf/IB3vetdBw3SAM4//3ze+c538u1vf5s//uM/BuC+970vl19+OTFGPv7xjx/tIUy5E7NWvtwIB8p+tdspr3/90/jLv7x4sp0rrvgij3rUmTz3uY855PYuvfTcO3Ti80hRCobDkqpyWOuw1uKcw/vm4uecHZdImjLJtPVzypTji3Oe0aimrm0jAxGa6cy6toxGNc41k4ZVZamqmn6/2i9IWyOESL/ftDiUVUXpC6raMezX7Lp5wLYb+txwwx623dBnx7Y+w34zNFA5Q1AeFyxROpRQJKLRY0yEQAtFlA4bLCHWCCGpbE2WK1qZQqcaIUAix0GmppUpskw1Bu/B4k2kGDqGo5qqqqlt83cxqimGDm8io7qmNBUeR+0s1lhs5TC1w1Rh/LfDGkvlLD44iM12ZdS0khaZztEiJdM5uc6RUVMMHcFZvIgURYUSTUYMJFEICE1ZtTkDhZKa0ni0lKz0BgyrAhc8MXoijhg9LniGVcFKb0BwglpWzM3kzMy2SbQmxsbGy4VmACHGZsJ1ZrbN7EyOE+6A38NjzVGnFP7u7/6ONE15+tOffti1T3va08iyjL/927/lDW94AwBPecpTkFJy3XXXHe0hTLkTc6Dy5YGYn29z+eW/DsD27av7CeJedNFDecITHjS2iirodDL+4A+exrnn3pu3v31/bbaXvORCnvCEO96Z4EgQQmKtpaqai32SpOsu8muai1Xlm16PeHxEGKdMmdIEaVXV9GsdbCioqix5DtY6hsN68rVFWVIZNxGvzhJNp91UG4bDGhMrjLUMexU/uXmZwcoQ69ccMwNKCZZ7M9z79EWUTlAShFAE1/SxuSCIAYIUqBCRTiLS5vqgpaSbtVnp7aH2oTFNTwAvESoQZaDyoOqSdDHHmqop2QaJFhobIo6IZpwhC5KqcoSuxYaICBFTOWpjsMHjQ2jyWAGCCGACUklm8pT+sEKosfh51TgP+NgcU3ARJT2kkeGgZtO8ISbQ0jkhgPWNFpqPASUkiVQo3UyfiiQy6tcY6VBaEZ0gek/wzectpEJpiQmOylTADN3ZDOcCQjmqMuDWhH0FKC1ptTQzeU53NkOJE8zr89bcdNNNtFot5AaUeZVStFotbrzxxslr7Xab+fn5aT/NzygHKl/emnvdazP/8A8v5Utf+tFh7aDa7XTdBOetA7i5uTazs/kJ4/V5JFgryPM2WVZTVYz9QIGJQpJASkWWNTcF7w+9vSlTphw76tpNpjiHw4qy3KuHmOcpMzM5Waapa0FVWUKIlHXNan9EbepGhJXmt1ki6I9K5mc7tLKMylhGfcsPf7wLVzsEGlyNCx4tQaiEalDxwx/v4qwHnoqIglRqSl9RFQY7UfYPaCVJZE4qNVpr9Ewky1tIoYjBNsfhm5626CNBQgwaSYbKFJUJeBexzmFtwHkgCpyASPN1WmhKExDRNcMSxMYsPQZC9BOBXBHVuJs/4r1FCBiWo0boVkdEkGghmpqqhNpXiDIwM5MS8bRaisEQvI14ByJKdJRr7Xh4G4lZIBGCkSxo5xnDYUldGax3rE0HJEKj2xntboqXNcIppHJkMyB0lzSpx5IoEaUEiW7s/NIWSAXt5PgMpB11oNbpdFheXub666/nzDPPPOTaH/3oR6yurrK4uDh5LcbIYDBY99qUny3WypePecyZ+2W/HvOYM3nve/8rf/zHnzxiQVzY26R/6wDuzoiUgdnZNgsLNb1egbXgmmoBQjSl0TSVzM21mZ9vIeX6ksqOHT36/WJy85idbd/pP5MpU/blcL1hR7v2cOutbSY0l5eHrKyMGA7rsb1bHPv0JszMZCwsdFhc7GKto6xrdi+vYILDWId3btwIL1Ba4/DYZcOWxQW8D/z0pt3gIyu9isFwQGU9MUSEFGRaMjszyxbdYbha083aLA36eCztVoqzcXLcQoHHUpWOls5RSiITQbfTwbtIqGpcjEQ8AkniFVmWMZO30VIQiAThcDZQm7FECIqAx/tGnCOkDvAE4QkBYohIBBHwMY6HCRoTJ4kghEhdG5JMEJxDjGcfIDTtbCKCaEqxQTlUCgGH0hCFQ6WCXGpi1HuDQAFKC6L0iCTgFSADXjnQDq0gopqjEg6vFMhAVJ40UwipUVqQZoLgUnwUxLEWnVaKNJMoHVFSM989PtfRow7UHv3oR/PJT36S3/7t3+ZjH/sYSXJghV7nHC996UsRQvCYx+ztHbr55pux1rJ169ajPYQpdwHa7fSA2a+5uRaf+tTGBHHPO+8+PP7xZ+Fc2LBf6J2JzZtnSRI4+eQ50jSl3x9gTPM0CoI0hdnZWRYWWkgp2LRpBoA9e3rcfPMKS0sjyrLGWkiSxgR+x44VTj11gc2bpwHblDsve83KDyRz4SZ6ZPuuPZx22ZFs2znPysqQm29eHT9E+XWDPkVhGAwqRiM7fqiS9PtDClNTVmUjxeE9YixhmyhFmipaeYt+f4jzgcHIsm33KoPhaCyjESaBoHMCFwMhOu62dRNRRtJc40yLqqqoTMQHUBLSBDLdIsmbKYBUalCWPNeURYqtPUEJohcIFdFSkiZpY8EkmwAriEiaKkTMMKXHBUEiFUmuSFNJEI0MSEQ2Uv4Raudw3uEnn3mj/1ELR56nQIpnhfluh5XeiNoaoo/NMEGAEANZK2e+28FFhwgaLzytjkZphTMB4y3BgdSQqqbfLm9pIpGWVAxcn6StSLM21npElEQR0IkC5Rm4Pl2/SDtP0UnGqF/T6w2pXDMsIDQYwFTNz8XiXJeZzgzt/PgoBxx1oPZ7v/d7fPKTn+TTn/40D3/4w3n1q1/N+eefz93udjeEEGzbto2rr76ayy+/nO9+97sAvPrVr558/cc+9jEAzjnnnNt4ClPu7Bwo+1UUZkOCuPe612Ye8pB78MlPfvuI/ELvTNz97gucdtomrr12J4uLLRYX83F5pcmmaZ2QJJIQAqefvsCppy6yZ0+Pa665hT17CgaDktHIIGUgBEmnk9DrVfT7BQ98INNgbcqdklv3ht06+Nq3NwyYaJdZ6/brI9tXu0xrteFtG+PYtq3P8vIAY5qBHufCpOdMa0mea7z3jQ/vljYmGoajgqqucKEJuta2bb3AOon3kU4rZdS3LPdH9PpDRvUQ40GJZq0PUHkwoUZKyZ6VAads6dISGct2wKj2GBtYe6BzUSBTw6KYodVOMD6ATyjqFbJWIFUtytKPRWw1aarQrcDIlIQgQEMSE4q6ohiVOB8ntk06QBQdZjNFlBF8JFHgg8PbiDUeZ8PEJSHoSCI0xjq6aQpCEKSlO5uOy8Su6SNTkiTVZLnES4OSOWnaGKl3Oi1CLLHGEqMDpYjRE2JEpwmtVoqQIDPoiFYTpFcO69wkGA0+kOWaTpaic4FU0FJdfLnS+HhK2QxuxYgWAq01idD4UjXrgidRt7+N1FEHaueffz5/9md/xstf/nK+973v8bznPe+A69Z+Gd761rdy3nnnTV7ftWsXT3va0/j1X//1oz2EKXdhNiKIOz/f5kMf+k3+4i/+9YBG7Icrj95ZOOWUBe5zn1OpKs/27X3KskYpiRByHHwFtE7ZunWWe9/7VE45ZYFrr72Fm25aod8vWF4eUZbVJLDL84xNm2qKokZrNQ3Uptwp2dsb1gRZ+wdTjfF3XYvJVOZaMNUEa83vQ5Jo8lzjnEYIwdxce8PbXloasLQ0YDRqSp61sdTG7eMcoDEmodVKkHJA1g5UtsZHh/WeYVHhQyBGjxAKJSXddk4SHZWtKZ1ntbdM6YckqaCtM6xxk/uq1IoQDIYCZxz95YqYB7JE4nXjxbmWUdNakCUSJwODvsHNBTKVkoqUpWKVYWkg0OiXuQgOujHlpJkFZIh0dM6O5RVGxYjKGoIbG1n5SD2W6EiE5G4npQihqY0FITCumUaPsZHFCMHhfFNGFDInSkeqMgwRiyGogEwbeypoSpIBSESjYZa3WszPzHDLcBcy8WQzKbISBC+RSqIyhUw81ho2LXSJyuF9wnDQY1iVBBebDjXb9JlJ2WZ+rksrb0EAayKb5jYRlleItiKikGP9Nx00eZKzaW4BayLGOvLjYPd5m4SkXvrSl3L22Wfz+te/ns997nP7pYiFEFx44YW88Y1v5Nxzz1333hvf+Mbbsuspd3E2Ioh7ySXn8OUv/+iAQdq+HMgv9M7E7GyLBz5wK9475udb7NkzZDg0OBfQWtJuJ5x00gx3u9siD3jAVsrScOONe9i2bYXV1SFFUTMcVvuIaqaUZc38fI1ScMYZp0x71qbcqVjrDWskMQ6cJUsSj3OKNPWUpWU0soxGJd6vt/1p3msyNEIIkkSv27Zza5OcTMqXWjfbXlkZsrJSMCpKhkVFXTc9Z0I0PaRKNyXVrs1RCgYDRe0M1hlqXxNlowuGAIJDakXtaxInsM6gvKC2nplOxmBoWe4vE5wfd2NFpFbMdboszOSkeUJ/WDCoVpEi0GplCBEwNpImgiwRCOFZWV1lNsmJKDwWokTFBI3DEYih8c3U49dBkbQUvf4ILz2JUshEU8eIdxGlBSppyrZeNt6krVbK9iVHUVVkbY1SLarK4EJAS0mWpSS5ZlRWpFrSznNUAGsczlXj4YOmby/6gFQJrTSnneXoRDDb6rA7S6l6nrIsm4lSIYg2In1At1pk8xmtVoa1sDTooTNJV+Y4GyYNvioR6ERSFYZk8yIhRrwNCC/ZMreJYTFs3CDGE6XtNKfb7iI8eBsYDWtm293b/ef9Nit+nnPOOVx11VWsrKzwjW98g927dwOwZcsWHvawh7GwsHCbD3LKzx6HE8RVSnLxxefwvOe9d0Pbu7Vf6J2JJFGceuoizkU2bZph165Ver2aEBxSamZnU04+eYGTTprj1FMXufnmPezY0WPHjj47d66ysjKkLA0hNFIeea5ZXJylqgJpKtm5c3kaqE054ib7O5JGANowGtWTjNetg6lGY1BTloaydJRl3ehi+UYUeu/aRl1+MBghJfsEahZjLFVlxh67aw86ijxPcS5hMKgZDEv6wxHWOAbDgqIy41KnopWlzM60cc6jE2iXCSE6ClsRoic4MJWfrJcIgvYUtmIxthCJZmEx54c/HuCcp5W2CQmN5L7QCKCsLcv9ik47Z9QrCSFhz+qQcjTCRTcZPNBC0Oq0mJtvU9UB5SNl1ZiOp60EKSXGmMkEqk4UaZ5gZY2tI8E0uSXrLMNhja0hjIcCkhTkDHTI8S7ibJOBCgGG9RDrPCIGUBobakxtSIKmm3UhQqutcYUkayWopINxdvL9SXRConUjMttKSZLGI3k2ncGkHucbWSJCBNUEXnmaMpN0m7EFAWmeQC3QwuG1m5yjkopEJ6SZRviI94LgHS44rLc44VBqbSIXnHBUtiRRCbUROHOCe33emoWFBS688MJjtbkpP+McyM9zX+53v1MoS3PUfqF3Nubm2px+emTTpjZbtswwGFTNxV8rut2cLVu6dLs5c3NtvvWtgqWlRhRzaak3LvWEyVN+URiKwlKWjk5Hs7S01xv0znSznnJsWGuaL4p6PzujTifbr8l+jdvzZ2UjCv+NFZOdDAg0wddaRk2MBwQizjmGQ4PWTQBW1wZj9mbf0nSc4Uk0g0FJmgqcg8GgaHw2R2b8oNP0nbVaKZ2OJc9TrPUMhwW93pBdS6us9ocYs/4znJ/tctKmedp5grCCoR0ikezZ3WO1N2g0x8ae2FrCwtwsd9u6wNAOmcnnaectWplm5CO1KQiTylWNALK0zUxLk0iBkNDfY+gNDbUp8QFiCAgpUQKMVWiXEuY8la1JM9W4EQRHFB4UE19LIWLzMOgVhKbvq7/bM+h5ahPwwU/0xbxXxOCReLZuEY19lApNEEdKsJbKG5wzaC3JlCJJUpSQKKWwLjA7nxN7gRKBUmqSNRRC0kpTZudyZBJpKYWzIJVkoTuHRjNSNdE7hNK004zZbgepJLZoXAQW5toUQ8OorKk9TdZQKjKp6bRz2t0UlUhMGVDSMTQjSlsSuJXWkaupXEUraTFDt6n3HgdOHA+dKVP24XCCuN1uzvLy6Ii2ua9f6J0NrRXz8x1arYxOJx/fDJobR5Ksv6H2+yU337zCrl2rlKXFmEgIe296xgici3i/yvx8Sr9frpuIu3UJ6UATcVPuGjjnWV1tZCXqev/v/Zqd0fx8Z7/pyY1MWh7N8Wxk23U9NisfVRjjqa3Bjr0qhRAkWuFcinMOY5rSp9ZN+bMy9TgIbNZqrchTR6eTAC2GwwrnIqurQ/bsGbLaG1LVjhgDQkiyVLMw32Xz5i7WRgajghu372F1tU9pGmmOtSlOWUFZGUrj6M5kkAhcX3DTjl04F8jSDGEdRAkyNEMKruamHbu4d3Y35lueVu5YXGgTYp8Y21hrJwqKWmtaLcH8fIs8TzDWs1qOsHWJZ+zYhCQG8BJsXbKqBEU1R/TNVrpZi13DilFR4QiNvlkUaCSddovuQhehBb3eCIIDERsvUef2yb5pMpFA8Ax6BSFEXPAoIXC1pywbTbcQIVhPkBEtNTIHZyJJV5O0IpvyNnWZNROoa9e3TJG1FEJI0jTBBkGuMvaYPoUr8MKTJhJ01mi2Cc/IFXREm1bWIg2g0kjVKlHKk9Rr2dSIyDwy9WRpRqZzlFIYVzOyQwQS75o+tMmEfaIROjKyQzKVjM/+9ueYBGrf+MY3+NCHPsTXvvY1du3aBcBJJ53EIx7xCJ71rGfxsIc97FjsZsrPEIcTxB0OKxYXO0e0zX39Qu+MrE3Hpqk+ZLahqmp27FimKFxzgbR23Y1PCIH3CTEKdu4cUVXVeCLOsbTUZ2WlnJRi5udbbN48i7V6MhE35c7D4TJTvV4zbGKMYzAqGRX1RG+v006Z6bQxxiFEI/uy7zRkWZr9Hhja7XQyaXnrn5XDHcu+215ZGTIa7XMsnYyFhe5k28Y01kyjoqaoK8rKYWqzN5OVpLTahrZrepKGwwoEVLVhWJSUlZu0DrRyRbfdxrp03KMGg0HNDTcs0RsWVFWFdY7gm+bzRCmKylIUNTOzXfq9gtXVPsZ7tFBYPDGKiR2T8Z7V1T6rvXkSIRmOKkzV6ITZ2mMri4uNmkXIIKWxbCqKGk5ZJCaefEaxKczTbXmKsp5MRGZp85nnXY1WUJkByBqVCISTeMlYF00hJSgdQFYMyyFCgoiaMpTkHY3SraYfb9yPpbUkyTSFHbLFb8Yax2rVw0tP3tFEp9esO0EGnKhZqSybzWxTdraBUVVTR9dEGlEgJ/VMQR0dRW1o5xkzOme2nVKUNbQtSUtO+sikkKQiod3KmGl1G+FfKdBaEorYPHS6MBngkEqgRCTJm7KnlDSBlxLkSYJWe0X6tVQIJRjZIYvdOfI0ZWgKVEjoFwNsWG8RVduaRGpm2zOY4Eiy4+MCc5sCtdFoxIte9CL+5m/+BmDdzeD73/8+n//857n88st55jOfybvf/W46nSO7sU752UYIePWrn8zZZ9+T97zn39aVQbWWbN48c8jy6L4cyC/0zsqhDNwByrKiLD2jUTHxGNyXGCPGGELwGNNkELZv73PzzUvjcs/e/pAdOxJmZ3uceuom7nY3cacPdu/sbLTcuJaZ6vcLimJvANNqpczNtcmyxsdwdbVgeWXInpU+w6LAObuP+GrCTLvN5oXZiVByMzVpGA4rhkWNc3snHLXWdNsZ3W4+yVTteyzLy8NxtqoZgul2cxYXu+uyZP3+iJ07++zZM1p33O12yubNHU4+eRYhuoQQqeqa1d6Q/rBgVBiM32v6nShNt50y23XkWUZ/UOKwrOwZstIfNb1YY9PvNE1ZmO2wsLmLUpKFhYxt21ZYWlllNDIMygJTWUJopqzTPGGm9gRvUDpS2oKspaj6ntGgxDgzMUJPdUpnJifrKkb1iFFRMhpVdLI2229ZYrk/IiJJBNgI4Nk022Xr3TdhjSdUju58ix0rQ2QOnUSjkozgAlJLVAIysTgt0ZnEREc7Tymjo44QXJiUJ6WUpKmklWtcdBAEiRKIOBaTbcVG3Z8UcAQBQThkyEBFSleRpYrSgBvri0UVEbHx2dRJRp4qRm6EFJraNP6jMXqiCCDd5Oc2Ck2MTfm1di3SLGGuNUeii3F21E1KtolSZGlGO2mTJSkhNAGTEoo8TbHONzbyogmalBTkaYoQChEFJnq67TajsgQNivW/L1pqOq3WWFcNEgnLdYVSGhD4uM/wwbhUW9YVs+2cqI+PKftRB2ohBJ72tKdNpj23bt3KhRdeyKmnngo0graf+9zn2LZtGx/5yEfYtWsXn/70pxHi+KQKp9y5KQrDm970f/nYx77JxRefw/vf/wLK0rCyUrCw0CbPE3bs6G3ILxTgssseS5r+bFT6nVvr1ZFw6x6LfWhKCYoYI9dddwtl6di5c5XV1QHWRpJEMDfX4pRTNlMUFQDtdnarjExJWe7NfLRa2WEHQaasZyPB16Q07Uwj5zDWYVdSkup0P2HXpaU+y8sFK/0BRVVN9Kvaec5Cb4bFxTZSKvYsDfjp9p0My5LeaLw2epRQtPKcqp6hrEqEEMzMtJASdu3pMyoL3FpT/rhZXUlBWZcUVZuTNs+Sjk2+d+7ssXNnj7K0OLf3YX55ecTu3X1OPnmOxcUuvd6Q667bzp49JYPhiLIwk2xQq53Q65X0eiPue9+t1LVlODLsXu4zKEdNU7x1BBpZB60Vlc2ojWPzwgJFWbFjaYWiKDHOYq1rZChipLYW4wyDqiJPE4bDNiu9AXuWh/QHJaOioDJ2kj1KU03RtkCHLFEQFcGBMwY/1t6PISKUwMWIM4bgUoT2VGVNElKu33YLWUtwj84plMNG2yvRmjSXOFlwy7YlZlunYm0THMzN5OyqC1ZHPUKIaBFxRiBcYCHtstBpUVvP3FyXlW1DhnZEiIKomjJfEGAEeAsi6TI30yGGgJOW+YUOrm5RFR5jalxsvDwTndDqJrQ7GTGATiRaCvKocDHBrl1axJqgrkJnzfQnGIIPiEjzeQfXZPCkJIaADQacJtUJMUbyJCfRmjk9S500wxgej0KhlCLTTW9xp92mchWlMdTWIBR0WhlGucmwVJpohILaGhItSbSmm2UkSlEZT13bvWXsLCFPFZnOkVoQM4PIIG1pfO0QUSNDbIYmhEBIQSJBZRqRgY/Hx6/vqO9cV1xxBZ/97GdJkoTLL7+cyy67bD/fzxAC73znO3n5y1/OZz/7Wa688kouueSS23zQU25frLf44Pe5GajjIuq3hnOeT396ryvB2952FW9/+2e4//230u3mDIcVP/jBdmZnW3zhC685pF8owKWXnnunnfg8GrKs0YPqdnPKUlHX9X6lzyzLxgLDs6yuFnjvufHGFXq9wXjaTZCmjQr5zp0DTj99gSxLuPvd50mSFsNhydLSkF27VlhZacqmWaaZn885+eQFNm3q0u2uD9iOpXXPbV1/e267qBoj7bVMU5okB1Qw32jw5ZxnWJTUzlDVFbWz+1gIJeRZjvUp3XYLrRttrxt/uoel1T67VpdYGaxObkzz3XlOXtjEYDRLK0u5ZdcSO5eX2N1foSpLrA/jsl1EScFqu8+W2QWUTti02MVHT384wljP0p5VBqMSF5uSX7fTYvPmebwfoZSg08lZWRly0017MCYwKgtqZ8detYpMJzjXpq73YIzllltWuPHGPaz0SwaDJqPmHGgNeZ4wN1cxGrXQWrO4qcPS6ipFNaI3KChGJWVt8KE57izRdF0HLcGHnOXVAUVVUtWGorTU5V4l+yQde1JKWFntsWlhlqWlASurA5Z7JVXVnO/Y9Ki54VeBLBPMznfw1jOshrhox03wCajmB0VIcNEyqPpY0yYSKQcV87Nd9uwY8OPd2zGVZeI9mWlOOanL5lNmqIYVmdYYAyZYurMJ3XYLW9hJMC1y0KnAhJqARAtJ1kpJi4yhLYnCI1XAewlO0tJtWq0EtCCKyNxMB9BUxuFiTe0DIniiTFBak4gcrRMQgblNLYo9JShH3klJXSREgRQRIcETiV4yv5hRuYBOGgeEPE/RTuOMw/mIFhqVahI97stLFQLPTKdLWVTULuCriAsCpEDlGp1oWu2cVprg0rrxGA1N/6GxTf+bBIIHFzxpSEnHdlOznS6JSPAREmFQWk4CeolCx5REJHRaOVKDSAJz3RarviI4M3aagCBiU1rVKXPdvLGnulVp9PbiqAO1v/7rv0YIwZ/+6Z/y27/92wdcI6XksssuwznHy172Mq644oppoHYC44KjdjXGG3zc22yrhCJVKZnO0PK2ZaV6ZY/KVZO+llznzLXWN/gb4/dzJQghcs016yc8V1cLXvGKj/C//tdzD+gX+qAH3Z2XvORCnvCEsw447VmYAuPN3huqSmmnBy7t3d7B67HcfqeTc/LJM9x4Y588j2Mxzzj5zJVi3IujOP30LQBcc80udu7sMxwWjTq5dyilyTJBv99IFSil2bFjC1LCj360nR//eA/bt6/S79eEYJEyYWYm5W53W+WMMzZz73tvpdttTQKS0chgjN1nIi6h00kPat1zsGzdwdb3+8W66bw831vmu3UZbseOZXr9EcY60kQzN9vhlFMWD7rtjWSyKlPTH41Y6fcpyproA0JJ2q2MhdlZZjsd8jSbbHct+Lr+pz9l99Iq1lkSnbB50xz3Pu0ek+BrVFb0yyHDouCGbdtZWu3hrEUnCYtzc9zr7lvpttsIIWjnOT/dtsQPbv4J23YvMegNGJUVMUiEDLSyFXasLnHqlk0s5lvYsWsXN+/ZRV1aitJgbL23xJdkOAu1sSgtWF6eJyrYubTK7t3LLPV6DEd7g4ZWS3FSb4EtWxYRAuZ6XW65ZYXeoGBYjFgue5RlDThAk7cyNlVzdNsdrPX85Ibd3LJzhaXdQ5aHq+Pv5dgzM9Vsmluk2NIlSRVSBwZFwe6VXiOJYSy2ckTvEUpRZRIXHCJ65rptnDeUhWV5qWQ4GFFUfhK8tlNJXXVZ3CSonaEsalb6fZaWB9R1Y7BuS8Z9m4KYe0RRsLwUudfpWzDOUrkAMpIIhxNinFeTyHEAWFlPZSokCqUkO7cN2L2zwNQW4xwheqRQeBfYsb3AB9hy/xmik0ilm+tTkIQgqb0ieIFQksxJUt1U5rIUalOj8SyeNMOWMEttG+smpSVaN6mv6C22rpCZYCGdZXX3blb7Q0bDisrUTfpNRkqTYqMnTxdYODlj5+6au5+0wO6VPsNBjQ1+nd3UzEzO5oVZRAJ5JojWMNvtsrI6xDpDEM111hOIzpHKnNnZLmhPmmVEJyiHgbK0WN/0yjkhcQ6k1+SpIJtJKbQm0RqJwpiCyhlCZFL29qExQs7TGQSCmbkMZ5ryb6oT0Ouvq1KAUIL5uQ7G1qRKU4WKTjdBaTBm7wNAkqS0WgkueNoqx4UTXJ7jW9/6FkopXvSiFx127Yte9CJe9apX8c1vfvNodzfldsYFx9AMMc5QmAIb9j61JzKhnbaxwdJNu/sFazfsvoGlcgkbLIlM2NTaxD233HPdmqEZsjRaYvvq9mattySqWbt1fiubOpvopo1w4EZcCdb41Ke+S39Q8vPnn8JHL/xN+v2K1V7B/FybmdmcXr3Mkt1FGrZOjrtyFYNqwNJwiX7dn9xoZrNZNnU3MZPPkOt88rnUrmZnbycjO8IF1/Q0JB1Onjv5oMHrT5d+ykq1MvlMFvIFTtt02gE/99rVzWfu7d6pNdV85gfa/uECzM2bZzj11M2MRmvBjkPKuE/GW9JqaU45pc1pp83xwx/u5Kc/baZEe32D93bSY6OkZm6uxhjP/HzOaNTj+usNX/3qTdx88x56vRGDQTlRee90WuzePWBpqUAIyVlnncbqasFgUHHjjTvYs2eI8xatEjZt6nLPe57CzEzO/Hx7kj3as2fA8vKQHbuXGPQrjPWkiWJmJuOUkzazuNhl8+aZyfqmzDfiJzftYNdSfxLEbFqY4d733MriYodNm2ab78ste7jppl38+JYdLPdXiM4jtGKxO8cZp92Ne9zjJE67++b9Mlk33PxTdq2uTEpUm+fnOOPU0yfBlAuOn+7cSW8w5IfX38Qtu1eJLiC05G6b57jvvU9nbqbLaSefTJ5mjMqKH/70Rn7w45/yk1u20euvIEVGiDWz3QV+fNoO7n/Gadxr62mUtuSHN97EDTdvY+fOPoNeDx9SlDRks1127NrNPU+9G/c9/XRGA8N1P/0JN9xwC9v3DBiM+tTOE6NCCE+qJLP9GlvUhM2KnXuaQLsua4yrMXUcK7wHauVx1pPZwK50lZVeiQmG639yMzuX+gz7A4Z1PQkE2vr/396Zh0lVnQn/d/dbS1dVN80q0CCyKCIRtxEXEBSXqDEZnUSjaBLF9YuYdZzo6Bf5kjEx6sTRuMYt0YxLTCSJuK8xLqCgEsUN2WTvtfa7nO+P21VUd1c11dgNDZzf89TTVXXP8p73nHvr7bO8r0lLa47WZBoVBUvX2dzcxueb19OSaiOTztGWzYIDGBC2LNKRNPFIDTVGLatWb2TF5xtpTbYFM4dZKGywMi3I5PO0ZmowNY2aRJjWtiRNLSmSyTTJbAbX8fF9BVUVaJqKEw6CdydTcXxUWloybNjYTCqXxc1viZrTpkE676LpCl67YdrSliSXc9jUmKWpJYXn5dDUgpd/i9pEhJCtga+i6xCyVdpSPo7v4Xte8f5BVdAxiNgGugoh22DDpjY2N7WSzeZIZt0tDm+Fg6orgMfmJpeNm+K4nkciHKV5vcO6jU00JRtx3C0HBAwdaqMJhlsJNFUhFLKJECafdcn5At8LgqkrnoKvQkhXMKIhwnaYcNSguSVP3gmiNSSzSfLellljxwv+ccjnHQRQlxjI2uRGIhELTdWDaAPtY9y0DMJhnbyWZ1goQTRmoWcMfDVDTczGzBnks07xoIJhadi2ga86GHoY27BobUnjeh6WYWB1ih3ueh6tLWkSNRHwVRRd4AkXVdcxUBCeV1zeVzQNVdfwhItmWbiOR31tgpa2DNlsPnCO3B6tQTN0wrZJvCZwdmzrFqlMG5qukMpm8DUPPQR6++lOQZ6c5xGxQzieh63181ifbW1t1NTUEAptfT9KKBSipqaGZDK5rdX1Cc8//zy/+tWveP3110kmkzQ0NHDaaafx7//+79t88OHRRx/lf/7nf1i8eDH5fJ6xY8dy5plncumll1YMXN8fSOVTtGRbSOfSfN74OY7ioAqViB3BVmz0hI4vfAzVQG/f67UpuYmcmwMFIlaElkwLyVySdC6NpmvUheuIWBFc10URCnE7TnRglHGMwyfww5PMJklmkziuQ0NtA4Zu0NKS3oq0HWlpTjOsIUo6lyRWFyKSiOJ4Dp81f0zWy5LOptFVnaE1Q4O4be03WG24lsZ0Iy2pFgbFB1Fj1eD7Plkni4aGoiqk82nSuTSt2Vaas82oioqiKGTyGQSCeDhOIpQoGlNtucAAbEm3ELbCmMKkMd3Iys0rWd2ymjGDxjAoOghoN9KcHJ4IHF62plvRNR1d1XE9t2gYh80wuqrjuA5pJ807694hm8+iiGD5wjIsJg+dTMgIYeomQ4fWMnp0HXvvPZxJk4YTChls3tzGp59tYt36Zj77dANtrTnOOGMqkyePYPjwwXz++at88mmWUaPrCIds2pJZVqzYxFFHjWPgoDjZjIOq6mQyIZqaGgmFDA48cDSxmEUm61I3INgUbhkGjuuTTuWxLIN0Oo8QAlX1qR1QQzhs0pbJEA3ZxGsj1NQEM53ZrEM0GizbrVm7idZkhlQ2i6c4JBIR2jJJkhmPDY1NWCGNcNokFguTTGbIZLPolkokbOGsz7No0WeguwxI1GBZOqrmY1kGza0pPvjoM5rbUuw5chAHJvYkHI6wfv1GPvlsA5+tXUvdgDDZXIyoHsLzfTzhkUpn2dSSYc2KzYwd08DgAbUYlkEylSZvOlimieO5xMJRvDwk7DjrnGQwI+U5jBs5muEDB2JbJq7n47oeG5s2s279ZmpCISY3jOOjz9YSCltEbIuBA2qorYtiayZ5L0dbW5J4KMaXxsYRYyDVlmJAfS3RsE3WcbEMDcPUiUXC+J5g7zENDKlLMHTwQEzLoC2ZoqkpiW7ouK5LJGQxqD5BKBQinZqIIJiB/HztZuYveJ1EPMaBXxrDyOGD2mNVWmiagq7qZJ08Bx8wFl1V8UUwS+v5AtPQsUwDVVUCFx++j2ma7D1BAWUffF+Qy+XxhcAyg5N3jueTzeZRNRXbMPjKyfujqgrB5Ihg46aW9lBNBgoKyXSGWE0YQ1dRVZXDDx1H3vFIpzPUJqKEbAtNU4Og4AIcJzitqijgeoJsNqjf0IJQQ6ZhBCczVTWYNXMcHNcjHLL48glTSKayJFNZLMvAMg1MU0fXVFzfJ5d1yGRzDBlci+/NpC2dwXXc9hlrlda2IEB7Npcjnc2AohKPDhCmCQAAX2hJREFUhhgxdBBTDhiDbQXjV1E1spksi9/7hJBtMaphCNFICKtkP63r+bQlU3iuR21tDBQFz3FJZ3MoKDiui2UaWJaJ63q0tCXRNJ1EPIquqrhesDri+yI4KekLDENHbd8vLkQQ+FwQ7Nnz/SAqgK5pqKpS9PFW+Ftga/vN+8qr6qBEHeMaGipeL8ha8Trg+T75fB4Q2JYFKAjhk8xkCBlRkrkktjmEbD6Hqmj4vk/OzbOppRFFA4ccNhamun0MNUV0dlhTJcOHD2fdunV8/vnnDBo0qNu0GzZsYOjQoQwZMoQ1a7Z+Qm97cNNNN3HppZcihGD48OEMHDiQf/7zn+RyOfbee29eeeUV6urqelTmD37wA371q18BMGbMGCKRCEuXLsXzPI488kieeuopLMvq1XYccMABvPXWW0yZMoVFixZtUxmO57A2uZaVG1diGzZ71u+JQGDqJsl8ktZsKzE7RtQMgtBqqoau6Pj4OJ6Dpmqk8ikUFKJWlLZcGy3ZlsAwM6Ok8ils3cbQDFpzgcETs2LErBiaGjg29IVPa66VjJPByiU48ICfFuXTNJXx44cU96ctW7auQxiYRYuuIlFv0ZJtKdZbY9WQzCdBQNSK4nkeilBRhUFra4ampjTxeIh4PISqKiSTOUxTxzA02tqyKArU1Nj4vqC1dcvnZDIHCKJRm7a2LK2tGQYPjmMYgf+ywmfL0vE8v30DdIba2jCxWAiHLI5wCCs1OE4QqLmtLUtLS5p4PEwsFpyYcxwPw9CKTmpbWjK0tqYZPDiBaWo0t6TZ1NhCfV2MRDyCQ5b16XUk7ARxKwG+gucJWloyNDWlqK2NtG/yD2bWfH/Ltbq6KIlECN8XbG5MsnlTkpEjB2DbBq1tGRCCmppQh7a7brAcmUxmaW7eIruqKkVHvIU6Sttf6pC0VL5SGZqb07S2ZojHw0SjVvHHorU1Q3NzmkQiUjzBW1aH8RD5fB4rrNKaa6U118rg8BAMxcbJe+h6kH7LGAij64E85corlaEwNqJRu0SeMDU1dvE0Y2FcDBoUxzQ12tpy2HYwtlpagjy1teH28ZRFCIVIxEQIgWGo7e5TBMlknmg0cBnRuR9VVSGbddF1NViOE5Qd162tWYSAeDwYV8F4rpwuFrPRNAXXDQxK09TbjR6vvb9zKIpovxe3jAdVDWTorJ+mpkA/iUSovV0+juNjGCq+7xcP+HhecJ+BoKYmuLdK+7pgAHYeT4GhVdBXjkjERNPUsmlVdYseS8eQ5wXt9DxBvmR8tLQEshfqKdyHpf3gOF7g9kLTiuOhtjYo2/cFbW1Z0ukcQ4cmKvZR4V4vXC8dU8lkFlCIRi2SySyKolJTYxWNJt8Pfr4LY6Tj2Mph20bx2VS4Twv5O95TQR5NU/D9QI5kMsvQoYli2clkhmHDarc459XVLjpra8swdGi8qM+Wlgyu6zBoULz4uVTGwrgpPGO39HVwIKpSXyoKxf6GoB0tLRkGDw4OsZS2Nxq18DyBpintUSg6tjsWC5HPu6xf30o8HiIWC+F5ge+9SMQKxmL7Kk0sZpPMJ/l0/UpM1Wb0oBHUJWq26XcXqv/93uYZtUMPPZQ//vGPXH311dxyyy3dpr3qqqsQQnSJ97mjWLRoEXPnzgXgtttu47zzzkNRFD7//HNOPvlkFi1axHnnncejjz5adZmPPfYYv/rVr7Asi4ceeoiTTz4ZgA8++IATTjiBl156if/4j/8oGnL9iayTZV3TOsYPGc9bn7/FUG8or618jXveuod/bvhnMd0+g/bhnCnncOzYY3lr7VuMqh3FP1b+g6c+eoqfHPUTFq5e2CXPzDEz+a/j/ouXPnuJ29+8vUt55x10HkeMOoIfL/gxz37yLJqi8fw5L7PvvnuwenUTs2dP5ayzppLJ5GlsTFFXF8G2DX73u39w332vMmJEHZrt8bdlf+PA4Qdy0Z8v4rPmz4plTxk2hZ+/8HN+eOjlPPfsMm65pes+trlzj+HIIyfwzDNL+dOf3mLevK8RDpv85S9L+Nvf3uHqq0/h9dc/5YknCu8/4a67XiaVyvH735/Pk0++x113vUQqleN///dCfN9n/vzF3HnnSx3qmjVrItdffzqLF61m771V/v73j7jrrpe7yHPeedM49tiJADzxxLvcdtsLxbqeeurdsnm+M+cwps3cixo9hpuHJ598h9tue6FLugsvnMG0aeP53vce5KmnljJ6dD2///35zJ+/jDvvfKlYzzPPLOWJJ94ttrfwfunS1UyePJJXX/2EO+98sUv7/vu/z8DzBAsWLOnS/n333YOLLgr2DL744jJ+9asnee+9NUUZ/vKXDzu4YRk9up7//d8Lef31T4ttGT26nj/84UL+/veP2WefoRV1eMEF05k1a1+uf+V6LjloLq++spz99xvFa699ym9+81yHOh555GLefXdNe3kfc9ddL5WVYf78xVxzzddYuPCzLmWUylnaV2+9tYIrrjiZp556r2x/fOc7R3DIIWO48cYnufzyL5PNejzzzFI++2wTF188kwUL3u2SLxhH3+DTTzex995DefLJpR3kKZR97rlHcswxEzFNg3ze5YUXPig7/s8990iOPnofcjmXtrYMS5asYvLkEViWwSuvbNHzlvGw5V5Yt66ZSZNG8NRTwb3TWT8F3WSzDq+99gn779/Au++u4cADGwiHzfax8i7z5y/m6qtP4Y03lhfH1ejR9fzpT98ll3N55pmlFcfTkUeO59FH3+Sb35xKNuvwzDPvlE174YUzOPDAUVx99Z+47rpv8Pe/f8yBBzZgWQYvvriMiRP36DKejjhiLHfe+e2K/Xf++dM59thJ/PSnf+b++/9RHMsvvxyM5b33HsrPfnZq2T6aNWsiN954OqDw1FNLy/ZNYXz8+78/zGmnHci0aXu3h7PyeeedVRxwwOiyss2aNZEbbji9Yp+ff/50DjlkT77+9d+wfPkmTjvtwKKct9zyHLW1Ye6889s8+WRQduHz22+v4MADR+P7dNFZKpXjscf+D6qq8de/Bs+f2bOn8tWvHlD8XJCjUN8TTwR9P2/e16itDSMELFq0gsmTR5LPexX78oc/PJ6pU/fi6acDebfcc++VfR5ceunRTJs2gaef/me3ej711JsZO3Yw119/Oq+++knZ++qCC6dz7Kx92dTSiK5vHz9q2zyj9sILLzBjxgwUReGMM87gqquuYq+99uqQ5uOPP+bqq6/mgQceQFEUnnvuOaZNm9Yrgn8RTjnlFP785z8ze/Zs7r333g7XPvroIyZMmIDv+yxZsoT99tuvqjK/9KUvsWTJEv7zP/+zS8D55557jpkzZ2JZFqtWrWLgwIG91pbemFFb27oWUzO59fVbOWvKWdz+xu08+M6DFdOfMfkMfnzkj/nvv/83j/7zUf505p/K5onb8YrXSjl98umcd9B5fPV3X6Ul28KFB1/E3ukZTJwwomgUVbqxPvhwDQdNHcEx9xzNCeNP6FAOwLkHnMv/OXgu8675S9mToYlEmCee+B633PIs8+cv4cknv49l6Vx33QL+8pclPPHE97j55mc7vP/d7/5RzFf6uTRv50DxhfS//e3LfPvbRxTzlaOhYQBPP/0Drrnmce6/v2td5Ugkwrz00o+xbbOYrxJnnTWVCy88itNPv5U//OHCsm0q1/buZE8kwjz99PcxjPLtL2X27KlccMFRnHDCDQBl21auzYGOAznOOad7HQKcf/40fvCD4/nFL5/g3O8cwc03P9dhDGytvM76ePLJ75Uto9K4ePnlD3nqqR8wb173/TFnzjS+//3jyGTyXHfdApYsWckf//h/ij/+nfX8xBPf47HHFnHeedO45prHuz3xfMEF0/je945j3rz53aY766ypfO97s1BVhXzexTB0fvOb54p6KTceSmV4/PHFXfRTek/cfPNznHvuEfz2ty9z3nnTiy5cfvrTPzN//pKyff3MMz9E19Wtjqcf//h4zj13GqlUbqtpC/r41a8WFOX45S+f4Fvf6tr/DQ0Dquq/2bOn8pOfnMSpp/4Pt9/+rWI5kybtwR//+H/K9lFBN7Zt8KtfLdhq31x88Yz2KCHBzNtvf/syF188s6xshXHdeayWK/fCC4/iBz/4A/fee15Rzs7Pn8Lnm29+losumomqKl10FvTXD4jFQsV8X/3q/vziF1/vMo4Lein0/ZNPfp9IRMeyLP7nf57hootmFu+Fcn1ZGBu//vXT3Hffq1t9PvZEHxdfPANFgZtu6v7ZMnv2VK688mQ8P0+spu9n1LbZHJw+fTpz585FCMEDDzzA+PHjGTVqFIcddhiHHXYYDQ0NjB8/ngcfDH6gL7vssn5hpCWTSRYsWADAnDlzulwfO3ZsMWbpww8/XFWZH330EUuWLKlY5owZM9hrr73I5XI8/vjj2yp6n5F38rz02UvYhs0bq9/o1qgCeGDJAzz7ybNYhsU3J3+zYp7urpXy4JIHWbh6IWdMPgOAvyybz5GHT+A3v3mOyy77QxeHtu+9t4bLLvsDt976PIdNHccba17njMlndCkHwNBMnn76nxVv0Nmzp/Laax9z//3/YPbsqWze3Mbzz7/P7373j+K1zu9L85V+Ls1bqZ5QyOiQrxw///mpPPnke8WHW+e6KrUjm3U75KvE/fe/yuuvf8rPfnZqxTaVe9+d7EH7UxXbX8p99wX1n3XW1IptK/f97NlTef315VjW1nUIYFkGCxa8S8g2eP315V3GwNbK66yDSmVU0uHPf34qTz219f6wbYPlyzcWdXfzzWexYMG7ZfMVyj/xxMkdXNhUwjSNbsd/gfvvf5UXXljWHp0ixUsvfdhBL+XGQ6kM5fRTek+EQkZR17YdzPAV2lipr7u7n0r58pcn88knG6pKG+hjaVGOBQvexbbL93+1/Xfffa/y9NNLufnmszqUc/PNZ1Xso0L7Xn75w6r6prExRWNjkjVrmnj++ff5l38ZU1G2SmO1XLmvv/4pt9wym6efXlpM3/n5U/h8yCFjUBTK6mz27KkIQYd8v/jFv5Udx6Xju6AH0zR5+umlHHLImA73QjmC9n1alHdrz8ee6KOxMcXrry+v6hn25FPvYpjbJ3b0F5q3u/766/n1r39NbW0tQghWrlzJP/7xD/7xj3+watUqhBDU1dVx0003cd111/WWzF+It99+m1wuh2VZHHzwwWXTHHHEEQC89tprVZVZSLfnnnuyxx579EqZ25N4OM7di+7m9Mmnc8+ie6rKc9fCuzhj8hkV82iK1qPy7n3rXs6YfAaqonLi+JN44sklVT0gFzy1hA1tm4p5S8vRFI0zJp7JLTc/Vza/pqmcddZU7rzzpeL7IUMSHT53ft85X+nnQt5K9fz2ty93yFcO09Q58MBR3Hrr82Xr6q4diUS4mG9r3HPPKxx00KiybSr3vjvZC2kGDYp1K2cpv/3ty8Vl7c55yrW58N0dd7ywVX2Upr/99iD9bbc9X/Z6pfLK6aBSGeV02LkftyZnQXehkMnQoYmy+Qpp77vv7wwdmuCWW8qP687pb7nl2W7TFbjnnldIJMIMGhTroJdyuiiVoZx+Su+JwtgplGlZOqapc+utz3fb1wMHbn08FfRVzdgrlHvrrc8X5SiMj855q+2/Anfc8SJDh265/wtyleujUt385jfd92Eh/ZAhcQYOjDFkSIJ77nmlomyVxmolfve7V4lErKI7pM7tLny+884XOfDAUSiK0kVnhTrj8VAxX11dFFC6yFg6vkv1oCgKt932PAceOKrbvuw8prf2fOyJPgp6rlZ3t936Iv728Xf7xWN9XnLJJZx77rk8/fTTXWJ9HnjggRxzzDHYZZw97ig+/PBDAEaOHFnxFOaYMWMAWLZsWY/KLOT7omXedttt3H777VXV/f7771eVrjvacm14wiPjZHh/Y3XlLd2wFM/3cH23bJ6x9WN7XF7GyTBh4AROn3gm53zjvqry3Xnb3/ntA2eScZKMqx9XLGdc/TgA8mkquvoYP34ImUyepUs/Z599huF5fofP5d53zlf4XJq3Uj2eJyqmKTBr1kRaWjIV66rUjsJG6WrdmjiOV7Gecm3vTvbx44cghCCZzFZd/7vvrsZrPwHZOU+5No8fP4RczqlKh6VleJ4gl3PK1tFdeZ31UamMSuPixBMnV9UfncfOBRdMr5ivUP4hh4ypuux8vqt+K+E4HqlUnnQ610Ev5cZDqQzl9FParkIfeF7gQNl1g3rK3VuFvMFm8a2Pp7PPnkoqlasqbWmfm2ZwsKNS/3e+D6vRXWn6s8+e2m0/BkHmq+ub8eOH4Loevi/I511GjBjQbdnlxmolDjpoNK2tW8qaNWti2c8jRgzA94N7vLPOxo8fgq6rHWS6/vp/KytjqV4Kz9xQyCjWkUrlu+3Lgu6qfT72RB/jxw/p8TOspSVNJNy7BwTL0SsxdWzb5qSTTuKkk07qjeL6lMbGRoBuT3QWrjU1Ne2QMteuXctbb71VVd29QXOmmagZpSlTXXsLpJ00aae8K41tKa8528zeA/cmk3R7dLNkki55O1f0w9acbd7yvhtXH9GoTWNjqvg+mcy1n7Lqeq3wvtLn0ryV6umcrxz19TU0N2+RuZo80ajd7lA21226znkq1VPufXdyRKM2qVSOlpZM1fUDpFI50umusfLK1RWN2jQ1pavSR2e5m5q6joGtlddZB5XKqDQuOvdjd3KWjp0hQ+I0NVXWc2NjiiFD4lWX3RNXN9GoTTqd66KXcu9LZSinn9J2leradX0UxSu2sVJfp9P5qvp5yJA4qVSu6jFRKkdTU+VxXW3/dSx7Sznd9VFBN/l8dV7tC/dXcLI1261slcZqJTrLWV9f0yF/4XN9fQ2+L8rqLHj+OLS15UrKTZQdx6Xju6CHcNikuTmoI53uvi+DMZ3p8Hlr6avVR7XPllKaW9IMG1rbozzbwu4R/LCEbDZ4IJrdrC0XXGhkMtX98PR2mUOHDmXKlClV1f3+++9XLWclEqEEyXyS2lDPBlzYCGNq5du8LeUl7AQAjc0987fX1JJiWCIeuONoL6f4vpsg4slklrq6SPF9NGphmlrZa4X3lT6X5q1UT+d85di0qY1EYovM1eRJJrNYlt5tCKRyeSrVU+59d3Ikk9nACabWs50UkYiFZXV9BJWrK5nMUlsbrkofneWure06BrZWXmcdVCqj0rjo3I/dyVk6dtata6G2trKe6+oirFvXUnXZ8W7Gf7n04bBVnB3tbjyUylBOP6XtKtW1rqsYhlZsY6W+LhdJpBzr1rUQiVgd3PV0175SOWprK4/ravuvY9lbyumujwq68bzq2li4v3w/mAnsTrZKY7USneXctKmtQ/7C502b2lBVpazOguePgaZpJeU2s+++XR18l47vgh5UVSGRCOoIhy3q6ir3ZTCmQx0+d/c86Ik+qn22lNLd70tvsn3OlvYjCsuwgbO78uRywX8G1Tjz7Ysyzz//fBYtWlTVa++9965Kxu6osWrQVZ2QEWKfQftUlWfioImoqoqlW2XzfLTpox6XZxs27298n7pEtEfyD6itQdd0Ptz0YbGcDzd9yEebPsIMB6dEy7Fs2TpCIZN9992DZcvWoWkq0ahd/Fx6rfC+c77C59K8lerRdbVDvnI89dRS4vFQxboqtcP3RYd8W8MwtIr1lHvfnezLlq0rxhattv5Jk4ajqgqWZXTJU67Ny5atw7KMqnRYWoauqxXr6K68zjqoRs7Sz537sTs5S8fOvfe+WjFfofw33vi06rJNU+vRmIhETMJhq4Neyo2HUhnK6ae0XYU+0HW13eeW1iFvub4WgqrG0733Bnusqklb2uf5vEc8HqrY/9X2X6nuStNvrR+DkGhdx1QluXVdwzR1olGb1asbuy273FitxJtvLicW21LWU08tLft59epGVFUpq7Nly9bhun4Hmb73vYfKyliql4Ie8nmvWEckYnbbl4U81T4fe6KPZcvW9fgZFo/1I0Pt29/+dq+8vvOd7/R1e7ZKbW0wy1NYrixH4Voh7Y4oc3uSzCQ5Z8o5PLjkQc6ecnZVeb5z4Hd4cMmDFfN4wutReWdPOZsHlzzIso3LCEX1Ht0stfEov3v7d/jCL5bji8Cr/ANLf8eFFx1VNq/n+dx//6t85ztHFN+vW9fc4XPn953zlX4u5K1Uz7e+dXiHfOXI510WLvyM88+fXrau7trR3Jwu5tsa55xzOG+++VnZNpV7353shTQbNrR2K2cp3/72Edx//z/KllmuzYXvzj132lb1UZr+vPOC9HPmTC97vVJ55XRQqYxyOuzcj1uTs6C7TCbP2rXNZfMV0p511lTWrm3mwgvLj+vO6S+8sDof8eecczjNzWk2bGjtoJdyuiiVoZx+Su+JwtgplJnLueTzLuefP73bvt64cevjqaCvasZeodzzz59elKMwPjrnrbb/Cpx33jTWrt1y/xfkKtdHpbq54ILu+7CQft26FjZubGXdumbOPvuwirJVGquVOPPMYI/fRRcFY6Rzuwufv/OdI1m48DOEEF10VqizpSVTzNfYmAREFxlLx3epHoQQzJkznYULP+u2LzuP6a09H3uij4Keq9Xd+RdMQze6j87QW1RlqN1zzz3ce++93HPPPdv0Ks27oxk3LthkvnLlShzHKZvmk08+6ZC22jI//vjjiml6Wub2JBaKceSoI8k6WQ4afhCn73d6t+nPmHwGM8fMJOfk+P2S31fM0921Uk6ffDoHDj+QB5Y8EBh4S3/Hd+ZU5xz5vAuOwFcdfr/k9x3KKeB4eY45Zh9mz55aNv99973KIYeM4ayzDuW++16lri7K9OkTOPPMQ4vXOr8vzVf6uTRvpXoyGadDvnJcfvkjHHvsvpx1Vvm6KrXDsvQO+Spx1llTOeSQPfmP/3ikYpvKve9O9qD9kYrtL2X27KD+++9/tWLbyn1/332vcvDBo8nltq5DgFzO4bjjJpHJOhx88OguY2Br5XXWQaUyKunw8ssfYdasrfdHNuswevTAou4uvvh+jjtuUtl8hfL/8pclzJq1b8VxXSCfd7od/wXOOmsq06ePx7J06uoiHHnkuA56KTceSmUop5/SeyKTcYq6zmTymKZebGOlvu7ufirlr39dwpgxg6pKm887HH30xKIcxx03iWy2fP9X23+zZ0/lmGMmcvHF93co5+KL76/YR4X2HXHE2Kr6pq4uQl1dlGHDapk+fQKvvfZJRdkqjdVy5R5yyJ5cdNF9HHPMxGL6zu0ufH799U8QgrI6K7i+KH3+/OhHD5Udx6Xju6CHXC7PMcdM5PXXP+lwL5QjGC9b2re152NP9FFXF+Hgg0dX9Qw79thJWNvJPUdVDm/POeecrcb1qpa77767V8rZVtra2qivryefz/PKK6+UjZZwzDHH8Mwzz3DFFVdwzTXXbLXMDz/8kPHjxwOwevXqsi46xo4dy8cff8ydd97ZqzOLveHwFuCdVe8wrG4Yb33+FhMHT+T1la9z91t3d4kk8K0p32LW2FksWbeEUbWjeG3lazz50ZP85KifsGj1oi55Zo6ZybXHXcvfP/s7t715W5fy5hw0h8NHHV6MTACBo9z5p/+NX//ipa07mrzyRK58/nKOHHUkBww/gG8/8u1iZII5B81h/2H7c+vrt/LDqZfzwrPLuPnmrp6mL7tsFkccMZ5nn13KY49tiUzw7LPv89e/Lmn3mP5phygFhUgEv//9+bzxxqdFr/7/+78XFvOWetmHLd7CFy36jAkTunrBL8gzZ840Zs2aiKZpPPnke9x66/PFugp1d3EAfP5hTJuxFzE7hu/BU08F+Sp5cu8cmeDNN5dzxx0vdqhnSySGLe+XLl3D5Mkj+Mc/Pinbvv/+7zPwfcEzz/yzy/V9992Diy+ewdFHT+Tvf/+I665b0CEywcKFy7n99q6RCd54Y3mxLYXIBB98sJa9966swwsvPIpjjpnI/33pSi45aC7/fGsjX9pvVLvfqK6RCd57bw177z2UV1/9uIMn9FIZHn/8ba655mssWvRZlzJK5SzV4VtvfcYVV5zM008vLdsf3/nOkRxyyJ785jfPcfnlX8b34dln/8ny5Ru5+OKZxf4vF+Fi+fKNTJgwtOidvVyEi6OP3gfTNHAclxdf/KDs+D/vvGnMnLk3uZyLosCSJauZPHk4lmWwcOFnRT0XxkDpvVCITPDMM8G901k/Bd2Ewxavv/4JX/rSSN57bw0HHLAlMsGTT77H44+/zdVXn1Ich6WRCXRd7XY8HXFEx8gEzz5bPu1FF83ggANG8YMf/IHrrvsGH3ywlgMOaGiPwPAREycO6zKeCpEJKvXfBRccxaxZ+3LNNR0jExTGciEyQbk+CiITnIGiwAsvlO+bwvi4+uo/cdppBzFt2oTiCdB3313FlCmjyspWeNa89FL5Z94FFxzFwQeP7hKZ4JlnlnLzzVsiExTKLnxevHglBx44Ct8XXXRWiEwQDlvF508hMkHncbwlEkLQ94XIBKCwePHK9sgEbsW+/NGPjufQQ/cqyru15+Ollx7DtGnjefbZf3ar529+8zbGjh3MDTeczosvlo9kc+FF05k1axKWrRVjPG8r1f5+b3Nkgp2Zk08+mfnz5281MsHixYuZPHlyVWXut99+vPvuu91GJjBNk9WrV/e7yAQQbP5/f+37aJrGqLpRCLEl1mdbro0aq6ZLrE+BIO/ly8b6bM21ErOC+KDpfBpLt4qxPluyLdRYNcTsGJrSMdZn4VrcjoOrBw+4MjfWxRfPYObRe5MVKUJmCAWlGNcxZsWosWpI5VIIRMdYnxi0tsebi8W6i/WpUFNjVYj1CdGo1R7bLsugQbFiPL3C59JYn62tmWJMOZccju8Q0qI4+S1xJVtbM8RioWKsz0K8zI6xPoM4ooFrgTSbm1qpq42RiIdxlCwb0uuJW/EusT4LMe3KxfosxCZMJEL4QtDcnKKlNcWQwbVYpkFbWxYhRJe2l8b6bGnZInu5WJ+l7S8X67ODDO2xPtvassRiIWpqgoDJQTzKIJ5fPB4mHrc7xKAs6LAQq89xHYyQQmu2lbZcG4MigzHoGOuzMAYSiXBRni0xLbe0qzQ2YudYloE8oZJYnxptbcE4GDgw1r6ZPlc87BHELCyN5Zhr349ltgfLDvq8XKzP0n6sFOuz87iuFOuzUrrqYn3SHntyy3ioFOuzEG+xZ7E+Q7S1dezrQt7O42lrsT5L0xZc2BRkKoyhSrE+S8dT6X1Y2g+dY322tBTq2xLrM5PJM2RIvGIfdY71WTqmSnUc6F7pEutTCIpt6zy2SmN9bhnPwZ7qjvdUqEusz1Qqx5Ah8ZJYn1mGDUsUx5FhdI31mUxmGTIk1inWp8ugQbHi51IZexLrs3O/d471GcTX3RLrs/T+dV2BrgfPkdLYoIX+zeddNmxobX+OdY31WZpWM0DXv7iRBtJQ65Y333yTQw45BIBbb721GOtz7dq1nHTSSSxatIhTTjmFxx57rEO+UaNGAXDddddx6qmndrj26KOPcuqpp2JZFg8//HDRVcmyZcs4/vjjWb58OXPnzuWGG27o1bb0lqEGgbG2ObWZFY0rcDwHRShErAiGYTA8PpyoFSVsBJsn23JttGRaUFDwfI+ck6M520zezaMoCiMSI4iH4oSMEIZukHfyuMLF9VwEwU3oC5+sm0X4gogdIRFKAJB38+S9PJ4fGFeK0Glt6fTg1HwUFQzVwPEdPM8j7aQxdZO8m8cTHo3pRjQ0NE2joa4BS7dwXIesmw1kdnN8uvlTWrOt1EfrGRIdAoBt2ETtKJqqkc6lac20srp5NY3ZRnRFR1EVTNVkcM1g6iJ11EXqijet67t4nsfm9GY0RcMXPql8CtdzGVE3Aku3Otzgjuvg+i4ZJ0NrrhVDNYqGsKqpRM0opt5xen3V5lVk3AwCgYJCSA8xYkDXE1YFMvkMGSd4eb6HqZoMSQwpm3ZV4yrasm1kvSyO69BQ21A2bT7v4DgeyVyKTC6DaRqYmoGpm5i6ha4r6HrQzkwmRzqdY1NzK6l0hrZ0lmjIZkCihgG1cQxDxbaDU9Gu67FmzSY2bmyjsbmNdD5PbY1FU1uWkG4woC7OyJH11NXVoOsamUyOZDKHrits2tTK6s8b+fiTVei6RX1tlEmTRmFZFolEiHQ6z7p1rTQ2tlETs4hELUK2yabGVtatbcXUDcaPH0p9fRRVVcnlXHK5POl0ng8/XcuaVRsZNWoggwcOwLRUFEVFVRVqomFsWyef92htTbNy1SZWfLaRcNgim80x+Ut7MnhQDMsyME0NwzBIJjOsWtVIKpUln/dYs6aRUMhA1w3q6sLtP2RBwPjW1gx5xwkMJs+jrTVDXW0YyzJxPQ/LMjE0rXiCdtOmNjZvDk4GqppKS1ualuY0pqXjex6RaIiBdYE8ecfB831URWHjxmaeeWkRNbEEE8eNYI+hdeiGht1+ok8BmppTmIaOYWoIwPc8PF9gGjqWZaAqgZHneR6hkBUYOCj4fuBTTQiBbQWHPBzXI5XKoukqYTs4AVxYuRFC0NyawtA1DENHVSCTcwhZFqquogLJVJa845FMZRlQGyVkW+1Gq8AX4DouiqIi8AEl0KHvo2oqqqpiGjoC0FS16NPP8zxCtoWPwHFdMtksqqahqyq6pgUGUnu7Xc8j0n44LO+6OI6DAFRFJZPJ4PoCx3MRvo+p60TCYSzTwPV8dE3FNgMjw3FdVq5Zh2WZ1NclsMxAj6U4novretjt3gN838fxPFTAFwJD01BVFdfzSGUyaJpG2Lbb/ynzEe061VQ10IGqdlklE4DSni5oR9dVtMI97bpee44CCrq+5dSn61bnemRHIYTA8TwQAl3Xg3a3W+NmiX9V13MRvkAoAgQoqoKhlfe/ui30eVD2nZmDDjqI66+/nu9973ucf/75zJs3j/r6ev75z3+Sy+UYP348d9xxR5d8K1asAIIwVJ3513/9V+bOncuNN97IySefzJgxY4hGo7z33nt4nsfhhx/Oz3/+8z5v2xchakaJmlESdoKsm8Vvv6Ft3SYeindIGzJCeMIj7+ZpaWuhOduM67voqk7cjmOZFr7io6jBzW4aJiYmnzd9TkuuBcd3MFSDuBVnj9qOS8U+Pi25FvJunlQ+RdbNYms2ep1OSk2Ry+mYusmA8AAM3cBzPVL5FI3pRlpzrUW5a6wa6qP11Ng1WHrwgDN0g5yfoyXTwubkZvJeHl3XSeaSrGc9A6IDsEyrmD5shdE0jbSbRlGVYhtrQ7XsUbtHF8NLV3V0VWdgdCCe7yEQ1IZr0VSt7A1u6AYGBqIw0yV8VEXF1EzCZvkTRd0ZZeUImSFCZnUnmEfUVVe2aRqYpoGiqJhKMHugCgVdDULzdKg/ZBEKWWQyLk5GELfM4IdPNamp6SiXrmvssUc99fUJVqzYSFNTCtf1GRgPUVsboaFhIJalF38UQqHANcPmzUkcR1Abj3HAl/ZBVRVMU0NRVGpqgvoNQ0cIQSRisn59C+vWbizOZsTjEYYOTWBZOpoWzG64rkcymSOVymJqOoMH1dLWliOTXk84bDGgroZIxEZRgh8wz/PxfYGCoKYmguO4RCIRGje3Eg6Z7TO2gW6i0RBDh8ZZtw7WrWvFNHWyWRfDECSTOrFYiFDIIBy2yGTyNDVlyWYzNLUkaUvm+GzFJlRVIRoxqUvUYNshBg2KYBg6yWSOTZvbWPrPVWxsTJJOpXB9H11VsUIRhtRHGTw4gW0ZrN/UTJ4sTc1JmpMZnIxHW2Yja9ZuwjAhEY9Sm4iSCMeor42z+J3P+HjFGppaMrS2tJIVWRRPQWgCW7GJxWPUxkOMHbUHBx2wJ5+s2MjbSz6huSVNWzJFMpnB80FTIRoKUROPMKA2yoSxwVJrU6aZ5lQbbek0Xj6HUFUU30fVLWLRMIlIDaOGDsU0dF554598vmETbckMyWSabEbge6BqYJoQi0eIx8KMGTGEmpoIrZkkm9taSCbTpDJZPFeg6Qoh2yJWE2FATZy9Ru7BmFFDWJ/cSCqXJpXJkUpnyGWd4mqCaRlEIyEiIQtbCxE1w+T8PMlkisa2VlpTGTzPRdN0IiGbgfE40WiEQYk6cvk8m1ubaE6maUuncP3AoFGBglMKXdWpCUdIRMMMqR9IotamuSVDKpllc1MzqVyu+IwLWxb1tQkiURtdhbWNjXz42WpaUynyjgvtM26KAqgKpqETi0QYN2o4iVANed8jma7CB104woB4jOEDBweHQdw8nu8X/1nUVBVTN4v35kcrVrL4049obGzB8wU+wT/mBXNQVVRUFDRVIR4LoxoKGB4tTYHOPd8PjCeCmb9oyCZeG2ZAPM7IgYNJ5bLksx7NbW3k8i6eJ4pla5qCZeokamrQDAXTCxGLBL9frucEs5Dtcquqgt7+XNYUhSGDa4Etzy9d06F6r0d9xm5pqAHMnTuXSZMm8atf/YrXX3+dDRs20NDQwKmnnsrll19ONNozFxEAN9xwA1OnTuXmm29m8eLFfP755+yzzz6ceeaZXHbZZRUjIfQ34qE4ceLdptFVnagZJafmMBIGg/3BJYM/MDQ6GzEAw2qHMYxh3ZZt6zYDwgNoy7ZhaAae8LYsmSkalmZRY9dg63YxvR21iZgR8l5+q8ZOTwxSXdXRTZ3RA0YzsnZkyYOpvOFVwNCMHv3nFTbDhNk+R717k3DYrNrn1fDhdQwfXtkpdAFd19B1jbFjh+K6XvGHRte1sr7iotEQ0WiIlpYMmUwOz/Pb3R9YHXwu6bpGIhEhFLKIRCxyOTcwMFUF09SLft0KRqBh6MTjYWzbIhy2yefd4lgxDJ1w2MKyghkfw9AwjECORCLarRwFEokoiUSU+vo4qVSmmD4SCVFfv+X5E4+H232bBTOP9XUungeaFsgYCgVuG+LxMI7jtacPjKz6xjZSqWxxuTEUNhk4IE44bOF5Ho7rk8rphMNh6pIZkpkcwvdQVI1IyCAcjaAJlZpoBEXRGDd2GHknj2U2UVNjkc95CF8Es8ymRiRkMri+lrF7DUNRVEYOH4DwBMtXbGDjxmZi0QhCBcUPYrEOHljL6IZBQXt9nVjCJtRkEQtnyOby+PioqNiWSSQUYlBtLQMSCQxDMHxwPclUFt1QiNaEyWay+F4wY6ZZGmHTIGJGGJBIMGxoHS3pGmqaIzS1tpHKZoplRyyb2niMukSMEUMHYdsmcS+C7/tomkbINnEcF4GPQtD3hq5jqgbxUJiIXYOHR8i0iIQj5PM5XOGjKyqGaRGxLcKhEHXxGI1NrSi6SiIaJmRZpDNZ8o6Dj0BFwTB0IqEQlqGh6CrC80mlcriui2XrDBpY174sGNwTmqag6yqu65LzHHJOjoGJOMKDpJ/GFe3GlKKgaypROxxc9wUePpahQzhCKpOm3OKaoihEQmEsQ8dzBcl0hpybJ5PN4Lhe8Vmr6xphO4TjmUTDIQzLQFEE0XiIdNIh7+TRlI5nFw3DIBwNnpGD62Nk3By2ZZJNO2TSeZy8wDAVbNskFDUwdZ2hdXXUWHHyjkdKSxFNWFiOQT7nFqcETUvHMFQcsqh+iEhoi280XTMqGl6GqZN3XOx++DO92xpqADNnzmTmzJlVp69mlfi0007jtNNO+yJi7TQUjBjTM4uzR9UYMdVQML7S+XRVxhf03NipxiAt0FPDS/LFCYyf6v+djcdDZQ2iUgpGoGnqWzUCLSuYgQvSa7iuX5JeLabv7LS3GjlKqa+PdjDMyslcMDDT6VwXg7HUwBQiMJ6FENi2iW1bOI6D74Oqtv84hk0sS8P3/WDvTkollc2ihhVC4VBxCUxFwVANIrZNvCaMaepYls6++4witjrM+s2tZDIZhCdQNIWQZTF4YIKRwwdRV1uDaerYtsXIkVBXF2b9pjaaG9PF2aZ4IsSQQTGi0TBh28JxfCBMTaiGprbmYGZFeGiKRiRkUVuTwDR1QqFg1nbosFqyjsuGTS20JlMYgKcoaEJgWjaxaJRB9XEGD6mlLpFgQG2MmlCIeCRKJr9lVso2TWpjUQbWxamrrUG3ISLCCKAtl0FX8pia0WH2yDBMaqwQ0XAY2zCxLYukaRG2M+RdD8/3g3S6RtgKEQ2HCFk28ZhPY7KFnJbD1nRMI4LnlcxMaQpqu+NoSzXRDJVszikZCyp6hV/t1rYMnhPMXg2sjxPLhsnmnKK+bUPHCpv4IjCsC2aTZehYRoxsLo/jeQjhoygqhqZhW8E/YQrg+R4t6TZS6Uz77NgWcg5ksjki4WAvoiJgYCLB55s2EY3p+K6O6/rFcajrKqoO+AoD6xKEzRB1sTjrNzXjaElCURO7/R8ATdEIq2EG1yWIx2KElBC2EcJys8GKiAG60VUplmZj+RamYWDoOvl8MBPYeUbN1IPZbk1X8b3+uRNstzbUJL1DXxoxO+tMk6R/U40RqOsatg25nFs2vaIoHWbg+pJqDcxATp1IBHTdazcwrU4Gpo5laXieYMCA9naYFplsFtf38IVAVRR0VSNk25hmMLNoWQYbN7ZSV1tDXW0NGzc10dKSxfU8dE0jHrMZOLC2XTeQSETwvCBqddi2CIdssoPd4j9dlqlTEwlhGMGMYD7vtG9MVzDNAWVnjgpOX23bYEAiAcKnJmrR3JIinXG2GF8hg7p4hPq6KPW1ceJxG13XiERCJFMp2lJb/vmriRhEI1EsKyhbqB6uZwd7vwydTCZPxskjPB9FUwnpBqGwhaEbhGwbyzCwDQvbtMhkbfKuW9ShoeuE2x2iW5aOqkaI2hFEFvJ+HlUDVes0fpRgD2zUjqCqKsKtznjI+x7pbI5YJEwyk8WwNAyrU9kCakIhfJ/2rQBK0eiyLZNKUbmFHxhrbanKy6S+8GlLpVAIDlcYtsaw+no2NDeRVXOoZmBw+ATbW0zVYlBdLYatEbFD6JbB4HqFaDZCLheEzAqWMS0iIRPLsrGwMTWTqBXBxyedS5H3nS4TBaZqELYiqK6O57sYqgq6i4pAeAKECA6iaIDuBtYjKqrSP2MASENNIpFIKlAwkBzHq2oZtq+pxsAsnQl0nO5mAtXi5vvg1LPWxTgyDI1o1CIWCxGJ2CST2WJ81oH1tQysLy9DKGRSVxchlQpODedyWnEf35aTv4EslqUTDpvU1AQnRQv6rpS2ri5COu1QVxvMRtkhi3giSiabKy59hiyTmqiNbYSoTUSwbRPT3GLsxmPly45ELPKuQ9bJY5sWTl6gKT4hQ0UY7YaAooKvY5tWcBAiZGPqBrmcS8i26TyXWmrQCwEDa+O4mzw0T8PzvS5bOzRVw9QMBtbGSWarDw+oCAXfDTbHJ2qi5B0Xx3WLS9OGrmMWZp6EwNBMLMugpcye686Yuo7jVXdAIJnOBP1pRmmllT2G1JPJOKQyaQqDKxIKEwoZCHxiZpSQEZy8tsMWupoia6l4wkdTVGzNJmIHy5eGYoMq0FSdmFWDrVlk3Cyu6xSXsnXdIKTbmLqJq0LezZJzg9Ozmq6idbJ6BIKcm8PWe/egQG8iDTWJRCLZCj1dht2R9GQmMAg9FuzDy2RyXfbtdd6HN3hwjM8/byafdym3E0RRwDR1Bg+OdZrd03Ect4zxpRfLj0SsdlcSWfL5rmlNUycWs7Ftk3zewzQNBtbX0NZmYhtZ8o6LJwSaEuz1Clk2NTUWphkslYbDJobhViy7oBNd12hua8NxvaJ7C8/1i0vCmq6iacGpVV1XizNm1Rj0hqERjUQYCjS2JMnmc3iiZOlTUbFNi7p4lGgkgic8Mk51xpqm6xglJ8RNo8Qw69xPqoplmQysTeALUXY5E4ITrJFwMAOXz1QXsNwXPq7nEYtE8BGk8inskIYdqumSNmrWELZDRMMRFEWhMd0YLKNrHc3drJujLlyHpVn4BP7+NFUnZOoYmoFv+B32SBcOCKD7eFTvA3Z7zI5vC9JQk0gkkl2MamcCe7oPLxoNMWwYbN6cJJvtavDYts6AAVGi0VCX8ruf3QvKD/bVmaTTeXI5p2g0WpbR4dBKKGS2RzgwGDDAIJczyeW8kvQaVmF/lUJ73Nce7E/ULTIEe8M0LTDMylE4HV6g+hnPMJFwmLZkikxJO23LIBaNFNNFvShNybZ2FyPdY2o6A+Nx8lSOOV0gaoexdBPbtBhcV0erlSKd6XpAIBIKEYtEWL9581bLLEURKuGoiY8gpFu0ZTPk8rkt/WOY1ITCGFZwMENXdTzhUReuI5vPkPed4rgyVQO7/dS667sgBJYVnJIGwFcRXjAzVthdWTgwYNoqfsZAVVXybr49TSdZCfapaZoGqk+/OObZCWmoSSQSyS7K1gyHbdmHV+0p220tH7Z+mtgwNGzbIJMJjCnLMrGs8mkLs2LV6sRxPCzDJB6JkExn8MrMNGmKSjQcwjLMoouXainVSU00Qk2ncySlOgmFTGrsKK3Z1q2WWxuJIVRBOp8hlc0g/K5yK6pKxA4RCwenTgFsM9hflw61n0AtHNwyjOJsoVrBUK1EIa/r+riOh6WZ6KbRYVldURVsy8TQ9A6zebYZousCckDOzRMyLVRdQdc9kq05vA5TuwLXC+qMxizQfOyQiedAyNRxPafLUnNh9s2ydDzf65fLn9JQk0gkkt2Ybd2HV+3p1r7a5xeJWO373yovwxb2nfWEwJnrFgMmk81WPCBQSN/TdlSrE8PQiEejCCCZTZadWVNQidpRIlaIvJ9DyyhYhkHOyZF33eJeL0PXsQ0LUzcI26Gi89wCYdvu0K5SbNOkVVUQ/tYPNhQMMEu1Ucli2wa+5+P6+S2nlXUT2zZQUdHQ8aqYMQSKy5ue6+G6AjtstjtYLpnZVRV0Q8N1BYrwiYTCuJpHLueiawY6HQ2xwjjRda3sjFt/QBpqEolEIunzfXi9Xb6ua0SjdlX7znpCZ6Ov3AGB7tL3hGp0UjBIbd0inc/glLgrMjSTsBkqnlhNZVQEAiNvYGh6sP+tOHukFl1RREKhHvVFxA5jmUmy2a0vq1qmQcQO4zmgYZBJp0k7WVy/3V+cryAcHyWtEYpF8F3RYbWxkuFVRBXgadC+NI3ioaiBM10Fpf0EZ3t6L/hbahiXO6RSQOnBfrbtiTTUJBKJRLJT0pN9Z9VSJnJSr6bvKaUGqZnvenK21CCNhOz2PYF5DFfvYvAYho6lm0RClRxxlKcw2yYQwUGSMjNrSuEAim1jaAYt6RStqSS+8NG1IPRe6ZKjL3xaU0nCtgVCQUEJfAR2snxdguVo09TRjcAQ1ZRgX1sy24bfeTbOC0I/Re0aNEXtsDS9NcNYU/vf/jSQhppEIpFIdnJ6c7ZO1zU8r7qluEL6vqZag1TXtSAyQM4gr3Uf5qmn1NXEAyNQy5NKZ8jmtjhetqxgls7UTepq4riuR1MyCAMIYKg6RhdzQ5B38zgph9pojEy7Y1/P87ucskULHP/GbRvfE/jCxfVdbDNUcd+Z67vouhWEl6pi25mCdM8hkUgkEkm/xzC0dvcjVezHUpTt6ralWkfNuq5hOr03ywjBnr2IHaJtUwbPA1VTUNqDu/se5LIetfUhbNNic1MrOWfry6QQBLhPptPYlk1bMks+n+/issQ0A794nicwDZWMk9vS3jL7zgrk3Dxhy4Yq9sB1PsHbn5CGmkQikUgkJQTuH5yq0vVXentPYDafI5t3SMRqyOVy5Fyn6EzX0g0syyKbd8jmc2TyGahyY74QkM7kQFEQqouiCxSPYDlUAUUTCNUlm8+haxqu4le96V8gQAQhCXNurqJ7jnJxqfsT/VcyiUQikUh2AKUuNCoFK99e4cP6C60l4aMsy8Kq4A+lNZXq0elJ3xM4eZ+8GczAKSooit8e5klBUTQKy6SuY+PpXs8EV0UxLrXjdQ031V+XO0uRhppEIpFIJJ3ob+HDdiTpbLbLJv9K+ELgCjc4PFCFOw9X+AjNR1U10vk0vigxxAS4OKi+RtgM4/rtQePV6k7bKgroxhYfcH0Zl7ovkYaaRCKRSCQV2JnCh/UVeWfry8ClqAQnQHNVLB+rqCgK+L6HrVs4fnBIoTQklKHq+L6H6zvkXZVojb0lMkE3WJbeb11u9ARpqEkkEolEIqlIuTig3WFbFuQF2GzVnYfru0DJrJeql37sQN51iCqhTkvTXdOVOrHtry43eoI01CQSiUQikVREVXoWQsrSLXRDpSWZJBQy8FwfzxMl/t+UwO0GEAnb5HNeladsQTdVFJSqnNj2Z5cbPUEaahKJRCKRSCpiGgbZKt1tFNKbZggBpFJp0EHrZG1oikokEsZ1XdrIVLVMalo6ihoYglk3C3S/NN2fXW70BGmoSSQSiUQiqUjYtklm0lUdKFAVpRgzNBGOETIt0tlMEC/VF6hqEC81YoewdIt0Pk02lwPbIN/NKVvT0jF0Fcs00FV9p3e50RN2jVZIJBKJRCLpM2KRCM3JZFXpChTcYii+hqE4xRilpmEQNgNjztRMLMvEFzlCYaM91qconrLVNAW9fZnUskxMzexQ9s7qcqMnSENNIpFIJBJJt9imRSIa+EkrN7OmKgqxSATb3LLc6LoeuZxL3nWK4ax8fITvILzAF52maoRsK4gjmnPQdRVd71q2aRmEbKvL4YCd1eVGT5CGmkQikUgkkq1imxa2aZHOZsk7nWbI7I6B3l3XI5nOkHPzXZYnXQ/ynoPjmUFsUtUgbIOuqyWHAwozasHhAFM3MdRd3ygrhzTUJBKJRCKRVE3YtrsYZp1JZbJk3VzF6wJB1s2hZBQiEQvhimApU3O6+lFrN852lcMBPUUaahKJRCKRSHoNx/HIOpWNtFKyTo6wZxcPBxiaAZ0OcXZ3OGB3iBwhDTWJRCKRSCS9RjZX/jRmOQSCbC5HTTTco8MBhf1vnU+Jep5PPu/uUrFYpaEmkUgkEomk1wiiDWxb+moOB7iuR7Ybv2tCCLJZB9tmlzDWeuZuWCKRSCQSiaQ7ehpes4fpc7nqDMFq0/V35IyaRCKRSCSSXkPXNHI9COSua9XPejlOx3BTwVKpX7JUuuXwgRACx/F2+j1r0lCTSCQSiUTSa9iWSTqXLRswvTOKEqSvFtf1gr++263rD0s30VUd1935DTW59CmRSCQSiaTXMDQD26rO35lt9cw3mhCBkZatED4Ktrj+cH23KmOxvyMNNYlEIpFIJL1KxA5j2zpKhf1nigK2rROxwz0qV1Eg51YXID7n5ivWvzMhlz4lEolEIpH0KrqqE7UjGHqOvOO2RxsQKIqCpqmYhr5NgdOF4vfI9YdQ/G0Rv18hDTWJRCKRSCS9TiFwuqn1XuB0VQtm1ard/6bu3NvTAGmoSSQSiUQi6UN6M3C6QGBZOtns1l1vWJZe9exbf0buUZNIJBKJRLJToKCg61pV+990XUPpsVO3/oecUZNIJBKJRLJToKkaruei6xq6ruE4Xpf9b6XuOLRdYO1TGmoSiUQikUh2CgzNIO9t8Z9mGJWDsCsovbbkuiORS58SiUQikUh2Gizd6tV0/R1pqEkkEolEItlp0FUdW7cr7j9TULB1u8euP/oru0YrJBKJRCKR7DYUXH8EsT57x/VHf0UaahKJRCKRSHZKetP1R39FLn1KJBKJRCKR9FOkoSaRSCQSiUTST5GGmkQikUgkEkk/RRpqEolEIpFIJP0UaahJJBKJRCKR9FOkoSaRSCQSiUTST5GGmkQikUgkEkk/RRpqEolEIpFIJP0U6fBWIpFIJBJJv8BxPFzXQwhQFND1ykHXdxekoSaRSCQSiWSH4roeuZyLEKLD957nk8+7WJaOru+eBps01CQSiUQikewwXNcjm3UA2mN3+iWxO1UMzSCbdbBtdktjTRpqEolEIpFIdhi5nIvru+TcPIKOM2quB3nPwdJNcjlFGmoSiUQikUgk2wvH8XA8h6ybq5hGIIrXHUff7fasyVOfEolEIpFIdgiu65Fz81Wlzbl5XNfrY4n6H9JQk0gkEolEskNwPKfLcmclBALHc/pYov6HNNQkEolEIpHsEHzh92n6XQFpqEkkEolEItkhqJrSp+l3BaShJpFIJBKJZIdgGjpKlbaXogTpdzekoSaRSCQSiWSHoKkallWd8WVZOpq6e534hN3YUHv77bf5+te/zpAhQ7Btmz333JNLL72UjRs3blN5V199NYqidPu69dZbe7kVEolEIpHsvBiagaHr2HblmTVFAdvWMXQdQzO2r4D9gN1vDhH44x//yDe+8Q0cx2HQoEFMnDiRZcuW8etf/5qHH36YV155hT333HObyh40aBBjx44te23o0KFfRGyJRCKRSHY5LN1CINB1Dcfx8DwfIQSKoqBpatFvmqVbO1jSHcNuZ6itWbOGs846C8dxuPLKK/nP//xPdF2npaWFb3zjGyxYsICvf/3rvPHGGyjVLpyXcPzxx3PPPff0vuASiUQikeyC6KqOrdvk3ByG0TUIu4KCpVvo6m5nsgC74dLnL3/5S9LpNEceeSQ//elP0fWg4+PxOA888ADxeJyFCxfyl7/8ZQdLKpFIJBLJ7oGu6kTMCJZmoSs6mqKhKzqWZhExI7utkQa7oaH2yCOPADBnzpwu12praznttNMAeOihh7arXBKJRCKR7O4YmoFt2ISMELZh75Z70jqzWxlqq1atYs2aNQAceeSRZdMcccQRALz22mvbVMeSJUs444wzmDFjBl/5yle48sorWbp06bYJLJFIJBKJZLdmt5pL/PDDDwEwTZPhw4eXTTNmzBgAPv30UxzHwTB6Zs0vXryYxYsXFz8//vjj/L//9/+49NJLue6669C0rR8tvu2227j99turqu/999/vkXwSiUQikUh2HnYrQ62xsREIljgrHRSoq6sDwPd9WltbGTBgQFVlDxs2jJ/+9Kcce+yx7LnnntTU1PDhhx9yyy23cOutt3LjjTdiGAa/+MUvtlrW2rVreeutt6pslUQikUgkkl2V3cpQy2azQDCjVgnL2nL8N5PJVF12uT1vkyZN4je/+Q2jR4/mxz/+MTfccAMXXXQRo0aN6rasoUOHMmXKlKrqff/993skp0QikUgkkp2HnWaP2ty5c7fqULbca/r06cUybNsGIJ/PV6wnl8sV34dCoV6R/fvf/z7Dhg3DdV0ef/zxraY///zzWbRoUVWvvffeu1dklEgkEolE0v/YaWbUotFo1cuQpcTj8eL72tpaAJqamorO9DpTWB5VVZVYLLaN0nZE0zQOOeQQHnvsMT766KNeKVMikUgkEsmuz05jqM2bN4958+Z9oTLGjRsHBDNqq1atYuTIkV3SfPLJJwCMHj26xwcJuqOw3Oq6bq+VKZFIJBKJZNdmp1n67A1GjhzJsGHDAHj55ZfLpil8f+ihh/Zq3e+99x5AxdOmEolEIpFIJJ3ZaWbUeot//dd/5aabbuL222/nm9/8ZodrTU1NPPzwwwBFx7e9wV//+teiL7VZs2b1WrkAy5cvB4JDBQcccECvli2RSCQSiaRvKLjXKvyOV0TsZqxcuVKEQiEBiCuvvFK4riuEEKK5uVkcd9xxAhD777+/8H2/S97DDjtMNDQ0iBtuuKHD9++9956YM2eOWLx4cYfvPc8TDzzwgIjFYgIQJ554Yq+3p9AW+ZIv+ZIv+ZIv+dr5XqFQqNvfeUUIIdjNeOSRRzj99NNxXZdBgwYxYsQIPvjgA1KpFIMHD+aVV15hr7326pJv1KhRrFixgquuuoqrr766+P3ixYvZf//9gcAPW0NDA7qu8/HHH9PU1AQEEQ8ef/xxEolEr7Zl1KhRbNiwAdu2GT16dK+VW3D7EQqF5MnSPkTqefsg9bz9kLrePkg9bx/6Us/Lly8nm80yaNAgPvvss8oJe32KZydh0aJF4tRTTxWDBg0SpmmKUaNGiUsuuUSsX7++Yp6GhgYBiKuuuqrD901NTWLevHniy1/+sthzzz1FTU2NMAxDDB48WBx//PHi/vvvL87c7SxMmTJFAGLKlCk7WpRdGqnn7YPU8/ZD6nr7IPW8fegPet7t9qgVmDJlSnE/WrVUsngTiQQ/+clPekEqiUQikUgkki3sVqc+JRKJRCKRSHYmpKEmkUgkEolE0k+RhppEIpFIJBJJP0UaahKJRCKRSCT9FGmoSSQSiUQikfRTpKEmkUgkEolE0k+RhppEIpFIJBJJP0UaahKJRCKRSCT9FGmoSSQSiUQikfRTdtvIBJLumTNnDmvXrmXo0KE7WpRdGqnn7YPU8/ZD6nr7IPW8fegPet4tg7JLJBKJRCKR7AzIpU+JRCKRSCSSfoo01CQSiUQikUj6KdJQk0gkEolEIumnSENNIpFIJBKJpJ8iDbXdgOeff54TTzyRgQMHEgqFmDBhAldeeSWpVGqby3z00Uc56qijqK2tJRKJ8KUvfYnrrrsOx3F6UfKdj97Sted5PP3008ydO5eDDz6YRCKBaZoMHTqUr3zlK/z1r3/toxbsHPTFmC7llltuQVEUFEVh+vTpvVLmzkhf6FkIwYMPPshxxx3H4MGDsSyLYcOGMXPmTK677rpelH7nobf1vHLlSr773e8yYcIEwuEwtm0zevRovvWtb/Huu+/2svT9n3Xr1nH//ffz3e9+l0MPPZRQKNRr93ZfP4sAEJJdml//+tdCURQBiOHDh4v9999fWJYlALH33nuLzZs397jM73//+wIQgBgzZozYb7/9hKZpAhBHHnmkyGazfdCS/k9v6vrOO+8s6lhVVTFu3DgxZcoUEYvFit/PmTNH+L7fhy3qn/TFmC5l9erVHfQ8bdq03hF8J6Mv9NzW1iaOPvroom733HNPcdBBB4mRI0cKTdPEgAED+qAl/Zve1vOrr74qampqBCAMwxDjx48XkyZNEqFQSABC13Xx0EMP9VFr+ic33HBDccyVvr7ovd3Xz6IC0lDbhVm4cKFQVVUoiiJuu+224o/6mjVrxAEHHCAA8bWvfa1HZf7xj38UgLAsS/z5z38ufv/++++L0aNHC0B873vf69V27Az0tq7vuOMOsd9++4k777xTNDc3F793HEf88pe/LD4cbrnlll5vS3+mL8Z0Z04++WShaZo48cQTd1tDrS/07Pu+OOaYYwQgjjvuOPHxxx93uN7U1NThmbI70Nt69n1f7LXXXgIQhx56qFixYkXxWnNzszjjjDMEIGKxWIfnyq7OXXfdJY4++mhx+eWXiz/+8Y/iyiuv/ML39vZ4FhWQhtouzFe+8hUBiNmzZ3e59uGHHwpVVQUglixZUnWZkydPFoD4z//8zy7Xnn322aIRt2HDhi8k+85Gb+t68+bN3c6WnXfeeQIQkydP3laRd0r6YkyX8r//+78CEJdeeqm46qqrdltDrS/0/Nvf/lYA4pBDDhGO4/SmuDstva3n9957rzhbtHjx4i7Xs9msiEQiAhDz58//wvLvrNx0001f+N7u62dRKXKP2i5KMplkwYIFQOBZuTNjx45lxowZADz88MNVlfnRRx+xZMmSimXOmDGDvfbai1wux+OPP76tou909IWu6+rqUBSl4vXjjz8egGXLlvVU3J2WvtBzKU1NTXz3u99l+PDhzJs374sJuxPTV3q+/vrrAbjiiivQdRkUpy/0nMlkiu/HjBnT5bplWQwfPhxgt99P/EXo62dRZ6Shtovy9ttvk8vlsCyLgw8+uGyaI444AoDXXnutqjIL6fbcc0/22GOPXilzV6AvdL01Cg/kcDjcK+XtDPS1nr///e+zfv16brrpJqLR6BeSdWemL/T8ySef8N5776GqKkcddRSvv/46F1xwAUcffTSnnHIK//Vf/8WmTZt6rQ07A32h5/HjxxMKhQB49dVXu1xfu3Ytn376KZqmMWXKlG2UXLK9n/nSUNtF+fDDDwEYOXIkhmGUTVP4j6vaWZlCmeX+U9vWMncF+kLXW+PBBx8EtjwMdgf6Us/PPfccd999NyeffDKnnHLKF5JzZ6cv9Lxw4UIABgwYwM0338yhhx7KbbfdxrPPPsuf//xnLr/8csaOHcvzzz/fCy3YOegLPdfU1HDllVcC8K1vfYtHHnmEzZs309bWxvPPP88JJ5yA4zhcfvnlNDQ09EIrdk+29zNfGmq7KI2NjUCwhFaJwrWmpqYdVuauwPbWy5///Gf+8pe/oCgKP/rRj75weTsLfaXnTCbDnDlziEaj/M///M8XE3IXoC/0vHbt2mL6H//4x5xwwgksXbqUXC7HO++8w4wZM2hubuZrX/saq1ev/oIt2Dnoq/F8+eWXc/fdd5NIJDjttNOor68nFosxY8YM0uk0f/jDH7jmmmu+mPC7Odv7mS8NtV2UbDYLgGmaFdNYlgV03NewvcvcFdieevnggw84++yzAZg7dy5Tp079QuXtTPSVnq+66io++eQTfvrTnzJixIgvJuQuQF/oOZlMAuC6LmPGjOGxxx5jn332wTRNJk2axPz58xkyZAjNzc3ceOONX6wBOwl9NZ4dx+HTTz+lsbERXdcZO3YsEydOxLIsPvroI+66667dxhjuK7b3b6E01HZRbNsGIJ/PV0yTy+UAinsadkSZuwLbSy+rVq3i2GOPpaWlhRNOOIFrr712m8vaGekLPb/99tvccMMN7L///nz3u9/94kLuAvTlswPgkksu6bJcFA6HufDCCwGKm7R3dfrqufHVr36Va665hv33358VK1bw4Ycf8t5777F27Vq++c1v8vTTT3PooYfS1tb2xRqwG7O9fwulobaLUltbC2yZoi1H4Voh7Y4oc1dge+hl3bp1zJw5k5UrVzJ9+nQeffTRinsjdlX6Qs/f+c538H2f22+/HU3TvriQuwB9+ewA2HvvvcumKXy/fPnyqsrc2ekLPc+fP5+//vWv1NfX8+CDDzJs2LAO9f32t79lwoQJrF69mptvvvkLSL97s71/C+UZ6V2UcePGAUEoEcdxyv6of/LJJx3SVlvmxx9/XDFNT8vcFegLXZeyYcMGZsyYwUcffcShhx7K/PnzO8xQ7C70hZ7ffvttNE3jxBNP7HKtsFz36quvMmTIEADefPPNXX55tC/0PGHChOL7SstFhTHt+36P5N1Z6Qs9v/zyywAcfPDBxOPxLtcNw+Coo47igw8+KB7wkPScvn7md0bOqO2i7L///pimSS6X44033iibpnBTH3rooVWV+S//8i9A8B/vmjVreqXMXYG+0HWBxsZGjjnmGN5//32mTJnCE088sdu6jugrPXuex/r167u8CrH6HMcpfud53hdvSD+nL/S8//77F5eAPv3007JpCj9sBT9fuzp9oeeeLGcW9llJek5fPvPLIQ21XZSamhqOPfZYAG6//fYu1z/66COee+45AE499dSqyhw3bhyTJk2qWOZzzz3Hxx9/jGmanHzyydsq+k5HX+gaoLW1lVmzZvHOO++w77778tRTT5X9L3l3oS/0LILoLGVfV111FQDTpk0rfjdq1KjeaUw/pi/0HA6HOemkkwC49957u1wXQnDPPfcAMHPmzG0Re6ejr57RAG+88QYtLS1drjuOU3SBMn78+G2SW9J3z/yKfOHYBpJ+yxtvvCEURekSi+zzzz8vxiI75ZRTuuRraGgQDQ0N4uGHH+5y7ZFHHimGiXr88ceL33/wwQfFWJ9z587tu0b1U3pb16lUShx++OECEBMmTBDr16/fLu3o7/TFmK7E7hxCqi/0vHTpUqHrugDET3/6U+G6rhAiiF/7wx/+UADCtm3xwQcf9G3j+hG9redVq1YVg4Iff/zxYs2aNcVrjY2N4swzzxSAUBRFvPXWW33buH5MtSGkDjvsMNHQ0CBuuOGGLte2te+2BWmo7eLccMMNxQDeI0aMEPvvv3/xRh4/frzYuHFjlzy0x4q7++67y5Y5d+7cYpoxY8aIyZMnC03TBCAOP/xwkclk+rhV/ZPe1PXPfvaz4rUJEyaIww47rOJr7dq126mF/YO+GNPl2J0NNSH6Rs/33HNP8VkxcOBAcfDBB4sBAwYIQBiGIR544IE+blX/o7f1fO+99xYNYl3Xxbhx48TEiROLZSqKIn7xi19sh5b1H1auXCkGDBhQfBXineq63uH7a6+9tkO+hoYGAYirrrqqbLnb0nfbgjTUdgOeeeYZcfzxx4u6ujphWZYYN26c+I//+A/R1tZWNn01P2oPPfSQmDZtmojH4yIUColJkyaJa6+9VuTz+T5qxc5Bb+m6YCRU81q+fHnfN6yf0RdjujO7u6EmRN/o+c033xSnnXaaGDx4sDAMQwwZMkScfvrpZYOI7y70tp4XL14svvWtb4kxY8YIy7KEaZpi5MiR4hvf+IZ45ZVX+rAl/ZPly5dX9SztbJBtzVAToud9ty0oQgjR8wVTiUQikUgkEklfIw8TSCQSiUQikfRTpKEmkUgkEolE0k+RhppEIpFIJBJJP0UaahKJRCKRSCT9FGmoSSQSiUQikfRTpKEmkUgkEolE0k+RhppEIpFIJBJJP0UaahKJRCKRSCT9FGmoSSQSiUQikfRTpKEmkUgkEolE0k+RhppEIpH0I+655x4URWHUqFE7pP6rr74aRVGYPn36DqlfIpF0RN/RAkgkEomk71m8eDF/+tOfSCQSzJ07d0eLI5FIqkTOqEkkEsluwOLFi/m///f/cuONN3abrr6+nvHjxzNy5MjtI5hEIukWOaMmkUgkkiKXXHIJl1xyyY4WQyKRtCNn1CQSiUQikUj6KdJQk0gkO5Tp06ejKApXX301+Xye//qv/2K//fYjEolQW1vLMcccwxNPPFE2r+u63H777UyfPp36+noMw2DAgAGMHz+er3/969x1110V6/3ss8+YO3cuEydOJBqNEg6HmTBhApdeeikrV64sm6eajfYvvPACiqKgKErFNK+99hqnnHIK9fX1hEIhxo8fz09+8hOSyWTFPKW8/fbbzJ49m4aGBmzbpra2lqlTp3LjjTeSy+W6pFcUhW9961sArFixoihf4XX11VdX1cZzzjkHRVE455xzgODgw6GHHko8Hqe2tpajjz6al156qZjedV1uuukmDjjgAGKxGPF4nBNOOIG33nqr2/b5vs/vf/97TjjhBAYPHoxpmgwcOJBZs2bx4IMPIoSoSk8SyS6BkEgkkh3ItGnTBCAuv/xyccQRRwhA6LouEomEAIqvq666qkM+13XFMccc0yFNPB4XlmV1+K4cv/vd7zqksyxLhEKh4ueamhrx5JNPdsl31VVXCUBMmzatYnuef/75buu+6667hKqqHWQ2TVMAYsKECeL6668XgGhoaCib//rrrxeKonTIbxhG8fN+++0nPv/88w55Bg8eLGKxmACEqqpi8ODBHV6//OUvq2rj2WefLQBx9tlnF9/rui5qamqK9eu6LubPny+y2ayYNWuWAIRpmiISiRTThMNhsXDhwrLt27x5szjyyCO79Gvp55NPPlnkcrmKfSCR7EpIQ00ikexQCoZawci69dZbRSaTEUIIsXLlSnHqqacWf6D//Oc/F/Pdf//9AhC2bYs777xTtLW1CSGE8H1frF+/Xvzxj38Up556apf6nnrqKaGqqtB1XfzoRz8Sy5cvF77vC9/3xQcffCBOO+00AYhYLCZWrFjRIe8XNdQWLVokdF0XgJg+fbp4//33hRBC5PN58eCDD4pEIlE0UMsZavPnzy+W/ZWvfEV8+umnQgghcrmcuO+++4oG09SpU4Xruh3y3n333d0agNW0sWCcJRIJEQqFxG233SbS6bQQQogPPvhAHHDAAQIQo0aNEpdccomoq6sTDz30kMjn88L3fbFw4UIxZswYAYjDDjusS/mu6xbHw5e+9CUxf/58kUqlhBBCJJNJce+994pBgwYJQMydO7fbdkgkuwrSUJNIJDuUwg8zIO66664u1z3PK86wTJw4sfj9hRdeKAAxZ86cquvyPE+MHTtWAOK2226rmO7kk08WgLj00ks7fP9FDbXjjz9eAGLcuHFFA6eUBQsWFPOWM6j23ntvAYgjjjiiiyEmhBCPP/54Mf/DDz/c4VpvGmqA+N3vftfl+scff9xh5uvll1/ukubZZ58tXl+1alWHa/fdd19xZrG5ubmsfAsXLhSKogjTNMX69eu7bYtEsisg96hJJJJ+wYgRI4r7qEpRVZUrrrgCgKVLl/Luu+8CkEgkAFi3bl3Vdbz00kt89NFH1NfXc+6551ZMN3v2bACefPLJqsveGs3NzcXyfvjDHxIKhbqkOfbYYzn00EPL5n/nnXd4//33AbjiiivQNK1LmpNOOomDDz4YgAcffLC3RO/CyJEjOeOMM7p8P2bMGPbaay8AjjjiCA4//PAuaaZNm4ZlWUDQplIKewovvPBC4vF42boPOOAAJk6cSD6f5/nnn/9C7ZBIdgakoSaRSPoFhUMF5TjiiCPQ9cCb0MKFCwE44YQTUBSFxx9/nOOPP54HH3yQzz//vNs6/v73vwPQ0tLCsGHDGDJkSNnXeeedBwQb73uLt956C9/3AZgxY0bFdJWuFdqt6zrTpk2rmP+YY47pkL4vOPDAAyv21eDBgwE46KCDyl7XNI36+noAmpqait97nsdrr70GBAcaKvXNkCFDWLZsGdC7/SOR9FekHzWJRNIv2GOPPSpes22bAQMGsH79ejZs2ADA4YcfzrXXXssVV1zBggULWLBgAQDDhw/n6KOPZvbs2Rx11FEdyikYco7jsH79+q3KlMlktrU5XSjIDd23dfjw4d3mr6+vL85IdZe/tL7epqampuK1gkFdTRrHcYrfNTY2Fk+slhpw3ZFOp6tKJ5HszMgZNYlEstPywx/+kOXLl3PDDTdwyimnMGjQIFavXs0999zDjBkzOO200zoYA57nAXDIIYcggj26W31Jtg+FvgF44oknquqbUrciEsmuijTUJBJJv2DNmjUVr+VyOTZv3gzAoEGDOlwbNmwYc+fO5bHHHmP9+vW88847xf1njzzyCL/5zW+KaYcMGQJs+5JZYSYom81WTNPS0lL2+1K5u2trpWuF/Js2bSrrK63A6tWru9S3MzBgwICifuWSpkSyBWmoSSSSfsGLL75YcQbr5ZdfxnVdINgf1R2TJk3ijjvu4LDDDgPg6aefLl4rfLdu3bpt2sNVW1sLwKpVqyqmef3118t+P2XKFFQ1eOR2twn+ueeeK/t9od2u6/Liiy9WzP/MM88AXfeIFerur7OEhmEUD0LMnz9/B0sjkfQfpKEmkUj6BStXruTee+/t8r3v+/zsZz8DYJ999mHSpEkA3c4qAcVTlQUDBeCoo44qnkq87LLLyOfz3ZbR2NjY4fPkyZOBYK9bOYNsw4YN3HHHHWXLSiQSzJo1C4Drrruu7KzcM888w6uvvlo2/3777cc+++wDwLx58zosFRb429/+VpTr9NNP73AtFosBwenT/sqcOXOAoB1/+9vfuk3buW8kkl0VaahJJJJ+QTwe58ILL+SOO+4oGjGrVq3i9NNPL85AzZs3r5j+lFNO4dvf/jZPPPFEB+OjsbGRefPm8eyzzwLw5S9/uXhN13VuvfVWdF3nlVde4cgjj+TZZ5/tsI/t008/5dZbb+Wggw7illtu6SDj1KlTaWhoAODss89m4cKFCCHwfZ8XXniB6dOnF092luOaa65B0zQ++OADvvzlLxdPL7quy0MPPcS//du/Fd2OlOPaa68FghnGU089leXLlwPBpvzf//73ReNs6tSpnHLKKR3y7rvvvgC0trby0EMPVaxjR3LmmWdy9NFHI4Tgq1/9KvPmzetwkjeVSvH8889z8cUXs+eee+5ASSWS7ch29NkmkUgkXSgNIXX44YcLQBiGIWprazs4T73iiivK5iu8YrFYMUxS4XXqqacKz/O61PnYY491CHtkGIYYMGBAl/BT8+bN65J3wYIFHUI2hcNhYdu2AMTYsWPFgw8+2G0Iqdtuu61LCKhCvdsSQiqRSBRDUAFi0qRJYs2aNWXzzpw5s0OYrIaGBtHQ0CBuuOGGYppqQ0hVotAvnUN+ldLQ0CAAcffdd3e51tLSIk488cQufZtIJDq0W9f1iuVLJLsSckZNIpH0C0zT5Nlnn+VnP/sZ48ePJ5fLEY/HmTlzJn/961+55pprOqS/6aabuPbaaznhhBMYO3YsQggymQzDhg3j5JNP5tFHH+Xhhx/usPRZ4JRTTuHjjz/mqquu4uCDDyYajdLc3IxlWUyePJlzzz2Xxx57jB/+8Idd8h577LG8/PLLnHjiidTW1uJ5HiNGjODf//3fWbRoUfHAQiXmzJnD3//+d0466STq6urI5XI0NDRw+eWX88YbbxT3wVXisssuY+HChZx55pmMGDGCdDpNKBTiX/7lX7jhhht48803GTZsWNm8jzzyCJdddhnjxo3DcRxWrFjBihUr+tVyaCwWY/78+fztb3/j61//OiNHjiSXy5FOp9ljjz2YNWsWP//5z4uzkRLJro4iRD/dWSqRSHYLpk+fzosvvshVV10l3S1IJBJJJ+SMmkQikUgkEkk/RRpqEolEIpFIJP0UaahJJBKJRCKR9FOkoSaRSCQSiUTST5GHCSQSiUQikUj6KXJGTSKRSCQSiaSfIg01iUQikUgkkn6KNNQkEolEIpFI+inSUJNIJBKJRCLpp0hDTSKRSCQSiaSfIg01iUQikUgkkn6KNNQkEolEIpFI+inSUJNIJBKJRCLpp/x/9t5KEkl02LcAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "al_obj.plotTimeSeries(aligner, plot_cells=True)\n", + "# al_obj.plotTimeSeriesAlignment()\n", + "plt.show()" + ] + }, + { + "cell_type": "raw", + "id": "alien-breathing", + "metadata": {}, + "source": [ + "## Run on farm\n", + "conda activate genes2genes-env\n", + "for s in 0 1 3 5 10 15 20; do\n", + " echo \"python ./run_match_accuracy.py I $s --save_aligner\" | bsub -G teichlab -q normal -o logfile-%J.txt -e logfile-%J.err -n 7 -R \"select[mem>50000] rusage[mem=50000]\" -M50000\n", + "done\n", + "for s in 0 1 3 5 10 20; do\n", + " echo \"python ./run_match_accuracy.py D $s --save_aligner\" | bsub -G teichlab -q normal -o logfile-%J.txt -e logfile-%J.err -n 7 -R \"select[mem>50000] rusage[mem=50000]\" -M50000\n", + "done" + ] + }, + { + "cell_type": "markdown", + "id": "exempt-filling", + "metadata": {}, + "source": [ + "Select genes" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "prescription-waterproof", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "N tested genes: 880\n" + ] + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "## Exclude genes with very low mean expression on this subset (they get low accuracy because of noise)\n", + "mean_gex = adata.X.mean(0)\n", + "X_bin = adata.X.copy()\n", + "X_bin[X_bin.nonzero()] = 1\n", + "frac_cells = X_bin.sum(0)/X_bin.shape[0]\n", + "adata.var['mean_gex'] = mean_gex\n", + "adata.var['frac_cells'] = frac_cells\n", + "\n", + "plt.plot(mean_gex, frac_cells, '.');\n", + "plt.plot(adata.var.loc[adata.var['velocity_genes'], 'mean_gex'],\n", + "adata.var.loc[adata.var['velocity_genes'], 'frac_cells'], '.r')\n", + "plt.xlabel('mean expression');\n", + "plt.ylabel('Frac. cells expressing');\n", + "\n", + "# genes = adata.var_names[(mean_gex > 0.1) & (frac_cells > 0.1)]\n", + "genes = adata.var_names[adata.var['velocity_genes']]\n", + "print('N tested genes: ', len(genes))" + ] + }, + { + "cell_type": "markdown", + "id": "numerous-alliance", + "metadata": {}, + "source": [ + "### Simulate deletions" + ] + }, + { + "cell_type": "code", + "execution_count": 138, + "id": "focal-dominican", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "mm_type = 'D'\n", + "deletion_out_df = pd.DataFrame()\n", + "out_files = [x for x in os.listdir('./data/') if x.startswith(f'match_accuracy_pancreas.{mm_type}.size')]\n", + "for f in out_files:\n", + " out_df = pd.read_csv('./data/' + f, index_col=0) \n", + " deletion_out_df = pd.concat([deletion_out_df, out_df])\n", + "# pd.read_csv('./data/match_accuracy_pancreas.D.size0.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "younger-rhythm", + "metadata": {}, + "outputs": [], + "source": [ + "match_outcome = deletion_out_df" + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "dressed-wichita", + "metadata": {}, + "outputs": [], + "source": [ + "import seaborn as sns\n", + "sns.set_context(\"talk\")\n", + "sns.violinplot(data=deletion_out_df, x='mm_size', y='accuracy', cut=True, scale='width');\n", + "sns.stripplot(data=deletion_out_df, x='mm_size', y='accuracy', color='black', s=0.5);\n", + "plt.ylim(0,1.0);\n", + "plt.xlabel(\"Deletion size (# bins)\");\n", + "plt.ylabel(\"Match detection accuracy\");" + ] + }, + { + "cell_type": "markdown", + "id": "sustained-brooks", + "metadata": {}, + "source": [ + "Plot accuracy by gene" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "expressed-banking", + "metadata": {}, + "outputs": [], + "source": [ + "acc_matrix = deletion_out_df[['accuracy', 'gene', 'mm_size']].pivot(index='gene', columns='mm_size', values='accuracy')\n", + "acc_matrix = acc_matrix.dropna()\n", + "\n", + "## order by mean accuracy\n", + "acc_matrix = acc_matrix.loc[acc_matrix.mean(1).sort_values().index]\n", + "\n", + "with plt.rc_context({'figure.figsize':[7,12]}):\n", + " sns.heatmap(acc_matrix);\n", + " plt.xlabel(\"Deletion size (# bins)\");\n", + " plt.ylabel('high mean accuracy <----- gene -----> low mean accuracy')" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "trying-tribune", + "metadata": {}, + "outputs": [], + "source": [ + "match_outcome['mean_gex'] = adata.var.loc[match_outcome['gene'], 'mean_gex'].values\n", + "match_outcome['frac_cells'] = adata.var.loc[match_outcome['gene'], 'frac_cells'].values\n", + "match_outcome['lin_driver'] = np.abs(adata.var.loc[match_outcome['gene'], 'Beta_corr'].values)" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "diagnostic-boost", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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mm_size0135101520
gene
Gpr1790.000.020.060.100.200.5500.40
Pde3b0.680.640.580.580.640.6250.60
Ptpn30.560.580.640.680.660.6250.68
Pon30.620.640.640.680.660.6500.62
Akap8l0.620.640.700.720.780.6250.44
........................
Cnot6l1.000.980.980.980.961.0001.00
Ube2e30.980.980.981.000.961.0001.00
Smarcc11.000.981.001.000.981.0000.96
Celf41.001.001.000.981.001.0000.94
Tbc1d91.001.001.001.000.941.0000.98
\n", + "

769 rows × 7 columns

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" + ], + "text/plain": [ + "mm_size 0 1 3 5 10 15 20\n", + "gene \n", + "Gpr179 0.00 0.02 0.06 0.10 0.20 0.550 0.40\n", + "Pde3b 0.68 0.64 0.58 0.58 0.64 0.625 0.60\n", + "Ptpn3 0.56 0.58 0.64 0.68 0.66 0.625 0.68\n", + "Pon3 0.62 0.64 0.64 0.68 0.66 0.650 0.62\n", + "Akap8l 0.62 0.64 0.70 0.72 0.78 0.625 0.44\n", + "... ... ... ... ... ... ... ...\n", + "Cnot6l 1.00 0.98 0.98 0.98 0.96 1.000 1.00\n", + "Ube2e3 0.98 0.98 0.98 1.00 0.96 1.000 1.00\n", + "Smarcc1 1.00 0.98 1.00 1.00 0.98 1.000 0.96\n", + "Celf4 1.00 1.00 1.00 0.98 1.00 1.000 0.94\n", + "Tbc1d9 1.00 1.00 1.00 1.00 0.94 1.000 0.98\n", + "\n", + "[769 rows x 7 columns]" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "acc_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "excess-vocabulary", + "metadata": {}, + "outputs": [], + "source": [ + "sns.set_context(\"talk\")\n", + "# sns.violinplot(data=match_outcome, x='mean_gex', y='accuracy', cut=True, scale='width');\n", + "sns.scatterplot(data=match_outcome[match_outcome.mm_size==10], x='frac_cells', y='accuracy', color='black', s=10);" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "abstract-walnut", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set_context(\"talk\")\n", + "# sns.violinplot(data=match_outcome, x='mean_gex', y='accuracy', cut=True, scale='width');\n", + "sns.scatterplot(data=match_outcome[match_outcome.mm_size==20], x='lin_driver', y='accuracy', color='black', s=10);" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "heard-intention", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set_context(\"talk\")\n", + "# sns.violinplot(data=match_outcome, x='mean_gex', y='accuracy', cut=True, scale='width');\n", + "sns.scatterplot(data=match_outcome, x='mean_gex', y='accuracy', color='black', s=10);" + ] + }, + { + "cell_type": "markdown", + "id": "inappropriate-rotation", + "metadata": {}, + "source": [ + "### Simulate insertions" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "electrical-telephone", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "mm_type = 'I'\n", + "match_outcome = pd.DataFrame()\n", + "out_files = [x for x in os.listdir('./data/') if x.startswith(f'match_accuracy_pancreas.{mm_type}.size')]\n", + "for f in out_files:\n", + " out_df = pd.read_csv('./data/' + f, index_col=0) \n", + " match_outcome = pd.concat([match_outcome, out_df])\n", + "# pd.read_csv('./data/match_accuracy_pancreas.D.size0.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "fiscal-director", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import seaborn as sns\n", + "sns.set_context(\"talk\")\n", + "sns.violinplot(data=match_outcome, x='mm_size', y='accuracy', cut=True, scale='width');\n", + "sns.stripplot(data=match_outcome, x='mm_size', y='accuracy', color='black', s=0.5);\n", + "plt.ylim(0,1.0);\n", + "plt.xlabel(\"Insertion size (# bins)\");\n", + "plt.ylabel(\"Match detection accuracy\");" + ] + }, + { + "cell_type": "markdown", + "id": "frank-following", + "metadata": {}, + "source": [ + "Plot accuracy by gene" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "steady-syntax", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "acc_matrix = match_outcome[['accuracy', 'gene', 'mm_size']].pivot(index='gene', columns='mm_size', values='accuracy')\n", + "acc_matrix = acc_matrix.dropna()\n", + "\n", + "## order by mean accuracy\n", + "acc_matrix = acc_matrix.loc[acc_matrix.mean(1).sort_values().index]\n", + "\n", + "with plt.rc_context({'figure.figsize':[7,12]}):\n", + " sns.heatmap(acc_matrix, vmin=0, vmax=1);\n", + " plt.xlabel(\"Deletion size (# bins)\");\n", + " plt.ylabel('high mean accuracy <----- gene -----> low mean accuracy')" + ] + }, + { + "cell_type": "markdown", + "id": "armed-earth", + "metadata": {}, + "source": [ + "### Make plot" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "correct-classification", + "metadata": {}, + "outputs": [], + "source": [ + "# match_outcome_del = pd.read_csv('./data/match_accuracy_pancreas.deletion.csv', index_col=0)\n", + "# match_outcome_ins = pd.read_csv('./data/match_accuracy_pancreas.insertions.csv', index_col=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "liked-legislature", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "mm_type = 'I'\n", + "match_outcome_ins = pd.DataFrame()\n", + "out_files = [x for x in os.listdir('./data/') if x.startswith(f'match_accuracy_pancreas.{mm_type}.size')]\n", + "for f in out_files:\n", + " out_df = pd.read_csv('./data/' + f, index_col=0) \n", + " match_outcome_ins = pd.concat([match_outcome_ins, out_df])\n", + "\n", + "mm_type = 'D' \n", + "match_outcome_del = pd.DataFrame()\n", + "out_files = [x for x in os.listdir('./data/') if x.startswith(f'match_accuracy_pancreas.{mm_type}.size')]\n", + "for f in out_files:\n", + " out_df = pd.read_csv('./data/' + f, index_col=0) \n", + " match_outcome_del = pd.concat([match_outcome_del, out_df])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "banner-emission", + "metadata": {}, + "outputs": [], + "source": [ + "match_outcome_ins['frac_mm'] = (match_outcome_ins.mm_size / 40) * 100\n", + "match_outcome_del['frac_mm'] = (match_outcome_del.mm_size / 40) * 100" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "appointed-oklahoma", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9497529258777634" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "match_outcome_ins[match_outcome_ins['frac_mm'] == 0]['accuracy'].mean() " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "amino-evaluation", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9497529258777634" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "match_outcome_del[match_outcome_del['frac_mm'] == 0]['accuracy'].mean() " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "celtic-circular", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.9356653662765496" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.mean(match_outcome_del[match_outcome_del['frac_mm'] <= 10]['accuracy'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "solid-button", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "sns.set_context(\"talk\")\n", + "with plt.rc_context({'figure.figsize':[12,6]}):\n", + " plt.subplot(1,2,1)\n", + " sns.violinplot(data=match_outcome_ins, x='frac_mm', y='accuracy', cut=True, scale='width', palette='Purples');\n", + " sns.stripplot(data=match_outcome_ins, x='frac_mm', y='accuracy', color='black', s=1);\n", + " plt.ylim(0,1.0);\n", + " plt.xlabel(\"Insertion size (% bins)\");\n", + " plt.ylabel(\"Match detection accuracy\");\n", + "\n", + " plt.subplot(1,2,2)\n", + " sns.violinplot(data=match_outcome_del, x='frac_mm', y='accuracy', cut=True, scale='width', palette='Oranges');\n", + " sns.stripplot(data=match_outcome_del, x='frac_mm', y='accuracy', color='black', s=1);\n", + " plt.ylim(0,1.0);\n", + " plt.xlabel(\"Deletion size (% bins)\");\n", + " plt.ylabel(\"\");\n", + "\n", + " plt.tight_layout()\n", + " plt.savefig('./data/match_accuracy_violins.pdf') " + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "representative-sector", + "metadata": {}, + "outputs": [], + "source": [ + "mean_gex = adata.X.mean(0)\n", + "X_bin = adata.X.copy()\n", + "X_bin[X_bin.nonzero()] = 1\n", + "frac_cells = X_bin.sum(0)/X_bin.shape[0]\n", + "adata.var['mean_gex'] = mean_gex\n", + "adata.var['frac_cells'] = frac_cells" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "czech-pakistan", + "metadata": {}, + "outputs": [], + "source": [ + "match_outcome_del['mean_gex'] = adata.var.loc[match_outcome_del['gene'], 'mean_gex'].values\n", + "match_outcome_del['frac_cells'] = adata.var.loc[match_outcome_del['gene'], 'frac_cells'].values\n", + "match_outcome_del['lin_driver'] = adata.var.loc[match_outcome_del['gene'], 'Beta_corr'].values\n", + "\n", + "match_outcome_ins['mean_gex'] = adata.var.loc[match_outcome_ins['gene'], 'mean_gex'].values\n", + "match_outcome_ins['frac_cells'] = adata.var.loc[match_outcome_ins['gene'], 'frac_cells'].values\n", + "match_outcome_ins['lin_driver'] = adata.var.loc[match_outcome_ins['gene'], 'Beta_corr'].values" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "loose-empty", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib\n", + "import scipy.stats \n", + "\n", + "def plot_scatter(match_outcome_del, cov, s):\n", + " plt.hist2d(match_outcome_del[match_outcome_del.mm_size==s][cov], match_outcome_del[match_outcome_del.mm_size==s]['accuracy'], bins=50,\n", + " norm=matplotlib.colors.LogNorm())\n", + " R2, pval = scipy.stats.pearsonr(match_outcome_del[match_outcome_del.mm_size==s][cov], match_outcome_del[match_outcome_del.mm_size==s]['accuracy'])\n", + " plt.xlabel(cov); plt.ylabel('Accuracy');\n", + " plt.ylim((0,1));\n", + " plt.title(f'R2 = {np.round(R2, 3)}\\n(p-val: {np.round(pval,7)})')\n", + " \n", + "mm_sizes = match_outcome_del.mm_size.unique()\n", + "mm_sizes.sort()\n", + "with plt.rc_context({'figure.figsize':[25,6]}):\n", + " for i,s in enumerate(mm_sizes):\n", + " plt.subplot(1,len(mm_sizes), i+1)\n", + " plot_scatter(match_outcome_del, 'mean_gex', s=s);\n", + " plt.tight_layout()\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "married-speech", + "metadata": {}, + "outputs": [], + "source": [ + " \n", + "with plt.rc_context({'figure.figsize':[25,6]}):\n", + " for i,s in enumerate(mm_sizes):\n", + " plt.subplot(1,len(mm_sizes), i+1)\n", + " plot_scatter(match_outcome_del, 'frac_cells', s=s);\n", + " plt.tight_layout()\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "forced-carolina", + "metadata": {}, + "outputs": [], + "source": [ + "with plt.rc_context({'figure.figsize':[25,6]}):\n", + " for i,s in enumerate(mm_sizes):\n", + " plt.subplot(1,len(mm_sizes), i+1)\n", + " plot_scatter(match_outcome_del, 'lin_driver', s=s);\n", + " plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "laughing-today", + "metadata": {}, + "outputs": [], + "source": [ + "with plt.rc_context({'figure.figsize':[25,6]}):\n", + " for i,s in enumerate(mm_sizes):\n", + " plt.subplot(1,len(mm_sizes), i+1)\n", + " plot_scatter(match_outcome_ins, 'lin_driver', s=s);\n", + " plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "impressive-weekly", + "metadata": {}, + "source": [ + "## Plot interpolated trends for reference\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "direct-consent", + "metadata": {}, + "outputs": [], + "source": [ + "import pickle\n", + "alignment_dir = './data/'\n", + "os.listdir(alignment_dir)\n", + "al_file = 'aligner_Ccdc88a.D.size0.pkl'\n", + "# al_files = [os.listdir(alignment_dir) if x.endswith('.D.size0.pkl')]\n", + "genes = [x.split('aligner_')[-1].split('.D.size0')[0] for x in os.listdir(alignment_dir) if x.endswith('.D.size0.pkl')]\n", + "\n", + "mean_b = {}\n", + "for g in genes:\n", + " al_file = f'aligner_{g}.D.size0.pkl' \n", + " with open(alignment_dir + al_file, 'rb') as f:\n", + " al = pickle.load(f)\n", + " mean_b[g] = al.S.mean_trend" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "material-business", + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.preprocessing import scale\n", + "n_bins = 40\n", + "adata.obs['time_bins'] = pd.cut(adata.obs['time'], n_bins).astype('category').cat.codes" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "laughing-offering", + "metadata": {}, + "outputs": [], + "source": [ + "def remove_x_axis(ax):\n", + " ax.xaxis.set_major_locator(matplotlib.ticker.NullLocator());\n", + " ax.set_xlabel('');\n", + "\n", + "def remove_y_axis(ax):\n", + " ax.yaxis.set_major_locator(matplotlib.ticker.NullLocator());\n", + " ax.set_ylabel('');" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "alien-broadcast", + "metadata": {}, + "outputs": [], + "source": [ + "acc_matrix = match_outcome_del[['accuracy', 'gene', 'mm_size']].pivot(index='gene', columns='mm_size', values='accuracy')\n", + "acc_matrix = acc_matrix.dropna()\n", + "\n", + "## order by mean accuracy\n", + "acc_matrix = acc_matrix.loc[acc_matrix.mean(1).sort_values().index]\n", + "\n", + "# mean_b = [adata[adata.obs['time_bins'] == b].X.mean(0) for b in np.arange(n_bins)]\n", + "# bin_mean = np.vstack(mean_b).T\n", + "bin_mean = pd.DataFrame(np.vstack(mean_b.values()), index=mean_b.keys())\n", + "bin_mean = bin_mean.loc[acc_matrix.index]\n", + "\n", + "with plt.rc_context({'figure.figsize':[12,12]}):\n", + " fig, ax = plt.subplots(1, 2, gridspec_kw={'width_ratios': [1, 3]})\n", + " fig.tight_layout()\n", + " sns.heatmap(acc_matrix, ax=ax[0],cbar_kws = dict(location=\"top\"));\n", + " ax[0].set_xlabel(\"Deletion size (# bins)\");\n", + " ax[0].set_ylabel('high mean accuracy <----- gene -----> low mean accuracy')\n", + "\n", + " sns.heatmap(scale(bin_mean.T).T, cmap='bwr', ax=ax[1], cbar_kws = dict(location=\"top\"));\n", + " ax[1].set_xlabel(\"Pseudotime bin\");\n", + " \n", + " remove_y_axis(ax[1])\n", + " plt.tight_layout()\n", + " plt.savefig('./data/deletion_heatmap.pdf') " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "authorized-closing", + "metadata": {}, + "outputs": [], + "source": [ + "acc_matrix = match_outcome_ins[['accuracy', 'gene', 'mm_size']].pivot(index='gene', columns='mm_size', values='accuracy')\n", + "acc_matrix = acc_matrix.dropna()\n", + "\n", + "## order by mean accuracy\n", + "acc_matrix = acc_matrix.loc[acc_matrix.mean(1).sort_values().index]\n", + "\n", + "bin_mean = pd.DataFrame(np.vstack(mean_b.values()), index=mean_b.keys())\n", + "bin_mean = bin_mean.loc[acc_matrix.index]\n", + "\n", + "\n", + "with plt.rc_context({'figure.figsize':[12,12]}):\n", + " fig, ax = plt.subplots(1, 2, gridspec_kw={'width_ratios': [1, 3]})\n", + " fig.tight_layout()\n", + " sns.heatmap(acc_matrix, ax=ax[0],cbar_kws = dict(location=\"top\"));\n", + " ax[0].set_xlabel(\"Insertion size (# bins)\");\n", + " ax[0].set_ylabel('high mean accuracy <----- gene -----> low mean accuracy')\n", + "\n", + " sns.heatmap(scale(bin_mean.T).T, cmap='bwr', ax=ax[1], cbar_kws = dict(location=\"top\"));\n", + " ax[1].set_xlabel(\"Pseudotime bin\");\n", + " \n", + " remove_y_axis(ax[1])\n", + " plt.tight_layout()\n", + " plt.savefig('./data/insertion_heatmap.pdf') " + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "silver-westminster", + "metadata": {}, + "outputs": [], + "source": [ + "norm_bin_mean = pd.DataFrame(scale(bin_mean.T).T, index=bin_mean.index)\n", + "match_outcome_del['bottom_bins_mean'] = norm_bin_mean.loc[match_outcome_del.gene].iloc[:,0:10].mean(1).values\n", + "match_outcome_del['mid_bins_mean'] = norm_bin_mean.loc[match_outcome_del.gene].iloc[:,10:20].mean(1).values\n", + "match_outcome_del['top_bins_mean'] = norm_bin_mean.loc[match_outcome_del.gene].iloc[:,10:].mean(1).values\n", + "match_outcome_del['mm_bins_mean'] = [norm_bin_mean.loc[x['gene'],np.arange(x['mm_start'], x['mm_start']+x['mm_size'])].mean() if x['mm_size'] > 0 else 0 for i,x in match_outcome_del.iterrows()]\n", + "\n", + "match_outcome_ins['bottom_bins_mean'] = norm_bin_mean.loc[match_outcome_ins.gene].iloc[:,0:20].mean(1).values\n", + "match_outcome_ins['top_bins_mean'] = norm_bin_mean.loc[match_outcome_ins.gene].iloc[:,20:].mean(1).values\n", + "match_outcome_ins['mm_bins_mean'] = [norm_bin_mean.loc[x['gene'],np.arange(x['mm_start'], x['mm_start']+x['mm_size'])].mean() if x['mm_size'] > 0 else 0 for i,x in match_outcome_ins.iterrows()]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "disabled-christmas", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python (genes2genes-env)", + "language": "python", + "name": "genes2genes" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/source/.ipynb_checkpoints/AlignmentDistMan-checkpoint.py b/source/.ipynb_checkpoints/AlignmentDistMan-checkpoint.py deleted file mode 100644 index 2ee5fd5..0000000 --- a/source/.ipynb_checkpoints/AlignmentDistMan-checkpoint.py +++ /dev/null @@ -1,269 +0,0 @@ -import regex as re -import OrgAlign as orgalign -import numpy as np -from tqdm import tqdm -import pandas as pd -from tabulate import tabulate -from scipy.spatial import distance - -class TempFSMObj: - - def __init__(self, al_str, gene): - self.al_str = al_str - self.fsm, self.counts = self.get_transition_probs(al_str) - self.al_length = len(al_str) - self.gene = gene - - def get_transition_probs(self, al_str): - transition_counts = {'MM':0,'MI':0, 'MD':0,'MW':0,'MV':0, 'II':0, 'IM':0,'ID':0, 'IW':0, 'IV':0,'DD':0, 'DM':0,'DI':0, 'DW':0, 'DV':0, - 'WM':0,'WW':0,'WV':0,'WI':0,'WV':0, 'VM':0,'VW':0,'VV':0,'VI':0,'VV':0} - sum_transitions = 0 - for key in transition_counts.keys(): - transition_counts[key] = len(re.findall(key,al_str, overlapped=True)) + 1 # Adding pseudocount to avoid log(0) - sum_transitions += transition_counts[key] - - transition_probs = transition_counts.copy() - - for key in transition_counts.keys(): - transition_probs[key] = transition_counts[key]/sum_transitions - return transition_probs, transition_counts - -def compute_msg_len(transition_counts, fsm, al_len): - - msg_len = 0.0 - for key in transition_counts.keys(): - msg_len = -np.log(fsm[key])*transition_counts[key] - msg_len = msg_len/al_len - return msg_len - -def pairwise_alignment_dist_v2(a1,a2): - - x1 = compute_msg_len(a1.counts, a1.fsm, a1.al_length) - y1 = compute_msg_len(a2.counts, a1.fsm, a2.al_length) - x2 = compute_msg_len(a1.counts, a2.fsm, a1.al_length) - y2 = compute_msg_len(a2.counts, a2.fsm, a2.al_length) - - return (np.abs(x1-y1) + np.abs(x2-y2))/2 - -def get_region_str(al_str): - prev = '' - i=0 - regions = '' - for i in range(len(al_str)): - if(i==0): - regions += al_str[i] - continue - if(al_str[i-1]==al_str[i]): - continue - else: - regions += al_str[i] - continue - return regions - -def test_unique_index_sums(a): - index_sum = 0 - m = {'M':0,'I':0,'D':0,'W':0,'V':0} - - l = 0 - for i in range(len(a)): - #print('==== ', i,m ) - if(i==len(a)-1): - if(a[i-1]==a[i]): - m[a[i]] += (index_sum + i)/(l+1) - else: - m[a[i-1]] += index_sum/l - index_sum = 0 - m[a[i]] += (index_sum + i) - #print(m) - #print(i,index_sum/l) - break - - if(i==0 or a[i-1]==a[i]): - index_sum += i - l+=1 - else: - #print('^',m[a[i-1]],a[i-1]) - m[a[i-1]] = m[a[i-1]] + (index_sum/l) - #print('*',index_sum/l,i,m[a[i-1]], a[i-1]) - #print(m) - index_sum = 0 - index_sum += i - l=1 - #print(i,index_sum/l) - - return m - -class AlignmentDist: - - def __init__(self, aligner_obj): - self.alignments = aligner_obj.results - self.gene_list = aligner_obj.gene_list - self.results_map = aligner_obj.results_map - self.results = aligner_obj.results - - # computing pairwise polygon based distance between each pair of alignments in the set of all gene ref-query alignments - def compute_polygon_area_alignment_dist(self): - - DistMat = [] - for i in range(len(self.alignments)): - DistMat.append(np.repeat(-1,len(self.alignments))) - for i in tqdm(range(len(self.alignments))): - for j in range(len(self.alignments)): - if(DistMat[i][j] < 0): - DistMat[i][j] = orgalign.Utils().compute_alignment_area_diff_distance(self.alignments[i].alignment_str, self.alignments[j].alignment_str - ,self.alignments[i].fwd_DP.S_len, self.alignments[i].fwd_DP.T_len ) - else: - DistMat[i][j] = DistMat[j][i] - # DistMat[i][j] = DistMat[i][j] + textdistance.identity.distance(alignments[i].alignment_str, alignments[j].alignment_str) - DistMat = pd.DataFrame(DistMat) - DistMat.index = self.gene_list - DistMat.columns = self.gene_list - - DistMat/np.max(np.asarray(DistMat).flatten()) - - return DistMat - - def compute_alignment_ensemble_distance_matrix(self, scheme): - - PolygonDistMat = self.compute_polygon_area_alignment_dist() - if(scheme==1): - return PolygonDistMat - - FSA_objects = [] - FSA_objects_regionwise = [] - - for i in range(len(self.alignments)): - FSA_objects.append( TempFSMObj(self.alignments[i].alignment_str,self.alignments[i].gene ) ) - region_str = get_region_str(self.alignments[i].alignment_str) - FSA_objects_regionwise.append(TempFSMObj(region_str,self.alignments[i].gene )) - self.alignments[i].unique_index_sums = list(test_unique_index_sums(self.alignments[i].alignment_str).values()) - self.alignments[i].region_str = region_str - - Mat = []; Mat_ui = [] - for i in range(len(self.alignments)): - Mat.append(np.repeat(-1.0,len(self.alignments))) - Mat_ui.append(np.repeat(-1.0,len(self.alignments))) - - for i in range(len(self.alignments)): - for j in range(len(self.alignments)): - if(i==j): - Mat[i][j] = 0.0; Mat_ui[i][j] = 0.0 - if(Mat[i][j]<0): - Mat[i][j] = pairwise_alignment_dist_v2(FSA_objects[i],FSA_objects[j]) - Mat_ui[i][j] = distance.euclidean(self.alignments[i].unique_index_sums,self.alignments[j].unique_index_sums) - - LikelihoodDistMat = pd.DataFrame(Mat) - LikelihoodDistMat.columns = self.gene_list - LikelihoodDistMat.index = self.gene_list - LikelihoodDistMat = (LikelihoodDistMat/np.max(np.max(LikelihoodDistMat ))) - IndexSumDistMat = pd.DataFrame(Mat_ui) - IndexSumDistMat.columns = self.gene_list - IndexSumDistMat.index = self.gene_list - IndexSumDistMat = IndexSumDistMat /np.max(np.max(IndexSumDistMat)) - - if(scheme==2): - return LikelihoodDistMat - elif(scheme==3): - return IndexSumDistMat - elif(scheme==0): - joint_mat = PolygonDistMat + LikelihoodDistMat + IndexSumDistMat - return joint_mat/3 - elif(scheme==4): - joint_mat = PolygonDistMat + LikelihoodDistMat - return joint_mat/2 - elif(scheme==5): - joint_mat = LikelihoodDistMat + IndexSumDistMat - return joint_mat/2 - elif(scheme==6): - joint_mat = PolygonDistMat + IndexSumDistMat - return joint_mat/2 - - - - def order_genes_by_alignments(self): - - indices = [] - genes = [] - gene_strs = [] - first_lengths= [] - - for a in self.results: - gene_strs.append(a.alignment_str) - genes.append(a.gene) - w_index = a.alignment_str.find('W') - m_index = a.alignment_str.find('M') - v_index = a.alignment_str.find('V') - if(w_index<0): - w_index = np.inf - if(m_index<0): - m_index = np.inf - if(v_index<0): - v_index = np.inf - - if(m_index<0): - if(w_index >=0 and (w_index=0 and (v_index=len(bin_times)): - break - s = [] - t = [] - for k in range(SLIDING_WINDOW): - s.append(S.mean_trend[i+k]) - t.append(T.mean_trend[i+k]) - cc = stats.pearsonr(s,t)[0] - #print('Pearson correlation: ', stats.pearsonr(s,t)[0]) - correlation_coefficients.append(cc) - return correlation_coefficients - - def get_correlation_coefficient_trend_for_all_genes(self): - - cc = [] - for gene in tqdm_notebook(self.gene_list): - pcc = self.get_correlation_coefficient_trend(gene, SLIDING_WINDOW=10) - cc.append(pcc) - df = pd.DataFrame(cc) - df.index = self.gene_list - return df - - - def get_match_stat_for_all_genes(self): - m_p = [] - m_ps = [] - m_pt = [] - for a in self.results: - m_p.append(a.get_series_match_percentage()[0]) - m_ps.append(a.get_series_match_percentage()[1]) - m_pt.append(a.get_series_match_percentage()[2]) - - df = pd.DataFrame([m_p,m_ps,m_pt,self.cluster_ids]).transpose() - df.columns = ['match %', 'match % S', 'match % T', 'cluster_id'] - return df - - - #interpolated gene expression heat matrix - def __prepare_intpl_df(self,intpl_df, intpl_time): - intpl_df = pd.DataFrame(intpl_df) - intpl_df = intpl_df.transpose() - intpl_df['time'] = intpl_time - intpl_df = intpl_df.sort_values(by='time') - intpl_df = intpl_df.iloc[:,intpl_df.columns!='time'] - intpl_df.columns = self.gene_list - df_zscore = intpl_df.apply(zscore) - return df_zscore - - def __get_zscore_expr_mat(self,expr_mat, expr_time): - expr_mat['time'] = expr_time - expr_mat = expr_mat.sort_values(by='time') - df = expr_mat - df = df.iloc[:,df.columns!='time'] - df_zscore = df.apply(zscore) - #df_zscore = df_zscore.iloc[:,df_zscore.columns!='time'] - return df_zscore - - # z normalised for plotting purposes - def __save_interpolated_and_noninterpolated_mats(self): - ref_intpl_df = [] - query_intpl_df = [] - for gene in self.gene_list: - ref_intpl_df.append(self.pairs[gene][0].Y) - query_intpl_df.append(self.pairs[gene][1].Y) - self.ref_intpl_df = self.__prepare_intpl_df(ref_intpl_df, self.pairs[gene][0].X) - self.query_intpl_df = self.__prepare_intpl_df(query_intpl_df, self.pairs[gene][1].X) - self.ref_expr_df = self.__get_zscore_expr_mat(self.ref_mat[self.gene_list], self.ref_time ) - self.query_expr_df = self.__get_zscore_expr_mat(self.query_mat[self.gene_list], self.query_time ) - #return ref_intpl_df, query_intpl_df, ref_expr_df, query_expr_df - - def __plot_comparative_heatmap(self, ref_df, query_df, cluster_id = None): - - if(cluster_id!=None): - ref_df = ref_df[self.gene_clusters[cluster_id]] - query_df = query_df[self.gene_clusters[cluster_id]] - fig, axs = plt.subplots(1,2, figsize=(10,ref_df.shape[1]*0.5)) - else: - fig, axs = plt.subplots(1,2, figsize=(10,10)) - - # plt.subplot(1,2,1) - sb.clustermap(ref_df.transpose(), xticklabels=False, vmin=-2, vmax=2, cbar=False,cmap = 'YlGnBu', col_cluster=False)#, ax=axs[0]) - # plt.subplot(1,2,2) - sb.clustermap(query_df.transpose(), xticklabels=False, vmin=-2, vmax=2,cmap = 'YlGnBu',col_cluster=False)#,ax=axs[1]) - fig.tight_layout() - - def prepare_interpolated_non_interpolated_mats(self): - self.__save_interpolated_and_noninterpolated_mats() - - def plot_comparative_heatmap_intpl(self, cluster_id = None): - if(not hasattr(self, 'ref_intpl_df' )): - self.__save_interpolated_and_noninterpolated_mats() - self.__plot_comparative_heatmap(self.ref_intpl_df, self.query_intpl_df,cluster_id=cluster_id) - - def plot_comparative_heatmap_expr(self, cluster_id = None): - if(not hasattr(self, 'ref_expr_df' )): - self.__save_interpolated_and_noninterpolated_mats() - self.__plot_comparative_heatmap(self.ref_expr_df, self.query_expr_df,cluster_id=cluster_id) - - - def run_MVG_alignment(self, mvg_genes,MVG_MODE_KL=True): - - D_ref = [] - D_query = [] - i = 0 - for gene in mvg_genes: - S = self.pairs[gene][0] - T = self.pairs[gene][1] - - if(i==0): - for bin_id in range(len(S.data_bins)): - D_ref.append(pd.DataFrame(S.data_bins[bin_id])) - else: - for bin_id in range(len(S.data_bins)): - D_ref[bin_id] = pd.concat([D_ref[bin_id], pd.Series(S.data_bins[bin_id]) ], axis=1) - - if(i==0): - for bin_id in range(len(T.data_bins)): - D_query.append(pd.DataFrame(T.data_bins[bin_id])) - else: - for bin_id in range(len(T.data_bins)): - D_query[bin_id] = pd.concat([D_query[bin_id], pd.Series(T.data_bins[bin_id]) ], axis=1) - - if(i==0): - S_time = S.X # no need to do this at every iteration since it is the same artificial time points for all genes - T_time = T.X - - i=i+1 - - S = TimeSeriesPreprocessor.SummaryTimeSeriesMVG(S_time, D_ref) - T = TimeSeriesPreprocessor.SummaryTimeSeriesMVG(T_time, D_query) - state_params=[0.99,0.5,0.4] #[0.95,0.5,0.4] - fwd_DP = orgalign.DP5(S,T, free_params = state_params, backward_run=False, zero_transition_costs= False, prohibit_case = False, MVG_MODE_KL = MVG_MODE_KL)#,mean_batch_effect=self.mean_batch_effect) - fwd_opt_cost = fwd_DP.run_optimal_alignment() - alignment_path = fwd_DP.backtrack() - fwd_DP.alignment_path = alignment_path - landscapeObj = orgalign.AlignmentLandscape(fwd_DP, None,len(S.data_bins), len(T.data_bins), alignment_path, the_5_state_machine = True) - landscapeObj.collate_fwd() #landscapeObj.plot_alignment_landscape() - #return fwd_DP.alignment_str, fwdlandscapeObj - return AligmentObj(str(mvg_genes), S,T,fwd_DP,None, landscapeObj) - - - - def compute_cluster_MVG_alignments(self,MVG_MODE_KL=True, RECOMPUTE=False): - - if((not hasattr(self, 'mvg_cluster_average_alignments')) or RECOMPUTE): - print('run MVG alignment') - self.mvg_cluster_average_alignments = [] - - for cluster_id in tqdm_notebook(range(len(self.gene_clusters))): - group = self.gene_clusters[cluster_id] - if(len(group)>1): - al_obj = self.run_MVG_alignment(group,MVG_MODE_KL=MVG_MODE_KL) - self.mvg_cluster_average_alignments.append(al_obj) - else: # don't run MVG because there is only one gene in this cluster - self.mvg_cluster_average_alignments.append(self.get_cluster_alignment_objects(cluster_id)[0]) - - return - - n_col = 5; n_row = int(np.ceil(len(self.mvg_cluster_average_alignments)/n_col)) - fig,axs =plt.subplots(n_row,n_col,figsize=(20,n_row*3)) - i=1 - for a in self.mvg_cluster_average_alignments: - # plt.subplot(4,5,i) - # plot_alignment_landscape(a.landscape_obj,i) - plt.subplot(n_row,n_col,i) - ax = sb.heatmap(a.landscape_obj.L_matrix, square=True, cmap="jet") - path_x = [p[0]+0.5 for p in a.landscape_obj.alignment_path] - path_y = [p[1]+0.5 for p in a.landscape_obj.alignment_path] - ax.plot(path_y, path_x, color='black', linewidth=3, alpha=0.5, linestyle='dashed') # path plot - plt.xlabel("S",fontweight='bold') - plt.ylabel("T",fontweight='bold') - i=i+1 - - - def plot_mvg_alignment(self, cluster_id): - - mvg_path = None - if(len(self.gene_clusters[cluster_id])>1): - mvg_path = self.mvg_cluster_average_alignments[cluster_id].landscape_obj.alignment_path - avg_alignment, path = self.get_cluster_average_alignments(cluster_id) - else: - path = self.get_cluster_alignment_objects(cluster_id)[0].landscape_obj.alignment_path - mvg_path = path - avg_alignment = self.get_cluster_alignment_objects(cluster_id)[0].alignment_str - self.__plot_avg_alignment_landscape_in_cluster(cluster_id, path, mvg_path) - - - def __plot_avg_alignment_landscape_in_cluster(self,cluster_id, path, mvg_path=None): - - avg_DP_M_matrix = None - avg_DP_W_matrix = None - avg_DP_V_matrix = None - avg_DP_D_matrix = None - avg_DP_I_matrix = None - - cluster_al_objects = self.get_cluster_alignment_objects(cluster_id) - for a in cluster_al_objects: - if(avg_DP_M_matrix is None): - avg_DP_M_matrix = a.fwd_DP.DP_M_matrix - avg_DP_W_matrix = a.fwd_DP.DP_W_matrix - avg_DP_V_matrix = a.fwd_DP.DP_V_matrix - avg_DP_D_matrix = a.fwd_DP.DP_D_matrix - avg_DP_I_matrix = a.fwd_DP.DP_I_matrix - else: - avg_DP_M_matrix = avg_DP_M_matrix + a.fwd_DP.DP_M_matrix - avg_DP_W_matrix = avg_DP_W_matrix + a.fwd_DP.DP_W_matrix - avg_DP_V_matrix = avg_DP_V_matrix + a.fwd_DP.DP_V_matrix - avg_DP_D_matrix = avg_DP_D_matrix + a.fwd_DP.DP_D_matrix - avg_DP_I_matrix = avg_DP_I_matrix + a.fwd_DP.DP_I_matrix - - avg_DP_M_matrix = avg_DP_M_matrix/len(cluster_al_objects) - avg_DP_W_matrix = avg_DP_W_matrix/len(cluster_al_objects) - avg_DP_V_matrix = avg_DP_V_matrix/len(cluster_al_objects) - avg_DP_D_matrix = avg_DP_D_matrix/len(cluster_al_objects) - avg_DP_I_matrix = avg_DP_I_matrix/len(cluster_al_objects) - - L_matrix = [] - T_len = self.results[0].fwd_DP.T_len - S_len = self.results[0].fwd_DP.S_len - for i in range(T_len+1): - L_matrix.append(np.repeat(0.0,S_len+1)) - L_matrix = np.matrix(L_matrix) - - if(mvg_path != None): - paths = [path, mvg_path] - else: - paths = [path] - for a in cluster_al_objects: - paths.append(a.landscape_obj.alignment_path) - - for i in range(0,T_len+1): - for j in range(0,S_len+1): - _i = T_len-i - _j = S_len-j - temp = [ avg_DP_M_matrix[i,j],avg_DP_W_matrix[i,j] ,avg_DP_V_matrix[i,j], avg_DP_D_matrix[i,j], avg_DP_I_matrix[i,j]] - L_matrix[i,j] = min(temp) - - mat = L_matrix - fig, ax = plt.subplots(1,1, figsize=(5,5)) - sb.heatmap(mat, square=True, cmap='jet', ax=ax, cbar=False,xticklabels=False,yticklabels=False) - path_color = "black" - alpha = 2.0; linewidth = 4 - i=0 - for path in paths: - path_x = [p[0]+0.5 for p in path] - path_y = [p[1]+0.5 for p in path] - ax.plot(path_y, path_x, color=path_color, linewidth=linewidth, alpha=alpha, linestyle='dashed') # path plot - if((i>=1)): - alpha = 0.5 - linewidth = 1 - path_color = 'black' - else: - path_color = 'brown' - i=i+1 - - plt.xlabel("S",fontweight='bold') - plt.ylabel("T",fontweight='bold') - - def get_cluster_average_alignments(self, cluster_id, deterministic=True): - - cluster_alobjs = self.get_cluster_alignment_objects(cluster_id) - i = self.results[0].fwd_DP.T_len - j = self.results[0].fwd_DP.S_len - - avg_alignment = '' - tracked_path = [] - tracked_path.append([i,j]) - - while(True): - if(i==0 and j==0): - break - backtrack_states_probs = {} - backtrack_states_probs['M'] = 0 - backtrack_states_probs['W'] = 0 - backtrack_states_probs['V'] = 0 - backtrack_states_probs['D'] = 0 - backtrack_states_probs['I'] = 0 - for a in cluster_alobjs: - backtract_state = a.landscape_obj.L_matrix_states[i,j] - if(backtract_state=='0'): - backtrack_states_probs['M']+=1 - elif(backtract_state=='1'): - backtrack_states_probs['W']+=1 - elif(backtract_state=='2'): - backtrack_states_probs['V']+=1 - elif(backtract_state=='3'): - backtrack_states_probs['D']+=1 - elif(backtract_state=='4'): - backtrack_states_probs['I']+=1 - for state in backtrack_states_probs.keys(): - backtrack_states_probs[state] = backtrack_states_probs[state]/len(cluster_alobjs) - - if(deterministic): - cs = np.argmax(np.asarray(list(backtrack_states_probs.values())) ) - else: - cs = MyFunctions.sample_state(np.asarray(list(backtrack_states_probs.values()) ) ) - if(cs==0): - i = i-1 - j = j-1 - avg_alignment = 'M' + avg_alignment - elif(cs==1 or cs==3): - j= j-1 - if(cs==1): - avg_alignment = 'W' + avg_alignment - else: - avg_alignment = 'D' + avg_alignment - elif(cs==2 or cs==4): - i=i-1 - if(cs==2): - avg_alignment = 'V' + avg_alignment - else: - avg_alignment = 'I' + avg_alignment - - tracked_path.append([i,j]) - - return avg_alignment, tracked_path - - -class DEAnalyser: - - def __init__(self, al_obj): - self.al_obj = al_obj - self.alignment_str = al_obj.alignment_str - self.al_visual = None - - def _util_1(self, a): - ind = "" - i = 0 - for c in range(len(a)): - if(a[c]=='-'): - ind = ind + ' ' - elif(a[c]=='^'): - ind = ind + str(i-1) - elif(a[c] == '*'): - if(i<10): - ind = ind + str(i) - i=i+1 - else: - i=0 - ind = ind + str(i) - i=i+1 - return ind - - def resolve(self, regions): - for i in range(len(regions)): - x = list(regions[i]); x[1] = x[1]-1; regions[i] = x - return regions - - def get_matched_regions(self): - - if(self.al_visual == None): - # print('retrieving matched regions') - D_regions = [(m.start(0), m.end(0)) for m in regex.finditer("D+", self.alignment_str)] - I_regions = [(m.start(0), m.end(0)) for m in regex.finditer("I+", self.alignment_str)] - M_regions = [(m.start(0), m.end(0)) for m in regex.finditer("M+", self.alignment_str)] - W_regions = [(m.start(0), m.end(0)) for m in regex.finditer("W+", self.alignment_str)] - V_regions = [(m.start(0), m.end(0)) for m in regex.finditer("V+", self.alignment_str)] - - M_regions = self.resolve(M_regions); D_regions = self.resolve(D_regions); - I_regions = self.resolve(I_regions) - W_regions = self.resolve(W_regions); V_regions =self. resolve(V_regions) - i = 0; j = 0; m_id = 0; i_id = 0; d_id = 0; v_id = 0; w_id = 0; c = 0 - S_match_regions = []; T_match_regions = [] - S_non_match_regions = []; T_non_match_regions = [] - a1 = ""; a2 = "" - - abstract_regions = [] - colored_string='' - - while(cx[0] and rand_num<=x[1]): - return 1#'W' - elif(rand_num>x[1] and rand_num<=x[2]): - return 2#'V' - elif(rand_num>x[2] and rand_num<=x[3]): - return 3#'D' - elif(rand_num>x[3] and rand_num<=x[4]): - return 4#'I' - - - - - - - \ No newline at end of file diff --git a/source/.ipynb_checkpoints/OrgAlign-checkpoint.py b/source/.ipynb_checkpoints/OrgAlign-checkpoint.py deleted file mode 100644 index f06563d..0000000 --- a/source/.ipynb_checkpoints/OrgAlign-checkpoint.py +++ /dev/null @@ -1,1009 +0,0 @@ -import torch -import time -import regex -import numpy as np -import pandas as pd -import gpytorch -import seaborn as sb -import matplotlib.pyplot as plt -import torch.distributions as td -from tqdm import tqdm -from scipy.spatial import distance -from scipy.special import softmax -from scipy.special import kl_div - -import MyFunctions -import TimeSeriesPreprocessor -import MVG - -torch.set_default_dtype(torch.float64) - -# M,I,D as usual -# Additional states: W(Wd) , V(Wi) (representing insert direction warps and delete direction warps) - -class FiveStateMachine: - - def __init__(self, P_mm, P_ii, P_mi, PROHIBIT_CASE): - - # ====== M STATE - #self.P_mm = P_mm/3.0 - #self.P_wm = self.P_mm - #self.P_vm = self.P_mm - #self.P_im = (1.0 - self.P_mm - self.P_wm - self.P_vm)/2.0 - #self.P_dm = self.P_im - #print(self.P_mm + self.P_wm + self.P_vm + self.P_im + self.P_dm ) - #assert(self.P_mm + self.P_wm + self.P_vm + self.P_im + self.P_dm == 1.0) - - self.P_mm = P_mm - k = (1.0 - self.P_mm)/4.0 - self.P_wm = k - self.P_vm = k - self.P_im = k - self.P_dm = k - - # ====== W and V STATES as equivalent to M STATE - self.P_ww = self.P_mm - self.P_mw = self.P_wm - self.P_vw = self.P_vm - self.P_iw = self.P_im - self.P_dw = self.P_dm - #print(self.P_ww + self.P_mw + self.P_vw + self.P_iw + self.P_dw ) - #assert(self.P_ww + self.P_mw + self.P_vw + self.P_iw + self.P_dw == 1.0) - - self.P_vv = self.P_mm - self.P_mv = self.P_vm - self.P_wv = self.P_wm - self.P_iv = self.P_im - self.P_dv = self.P_dm - #print(self.P_vv + self.P_mv + self.P_wv + self.P_iv + self.P_dv) - #assert(self.P_vv + self.P_mv + self.P_wv + self.P_iv + self.P_dv == 1.0) - - # ====== I STATE - # prohibit any transition from I or D to a warp state - # self.P_ii = P_ii/2.0 # USE P_II for prohibitive case - # self.P_mi = P_mi - # self.P_wi = 0.0 - # self.P_vi = self.P_ii # USE 0 for prohibitive case - - if(PROHIBIT_CASE): - self.P_ii = P_ii - self.P_mi = P_mi - self.P_wi = 0.0 - self.P_vi = 0.0 - else: - self.P_ii = P_ii/2.0 # USE P_II for prohibitive case - self.P_mi = P_mi - self.P_wi = 0.0 - self.P_vi = self.P_ii # USE 0 for prohibitive case - - self.P_di = 1.0 - self.P_ii - self.P_mi - self.P_wi - self.P_vi - #print(self.P_ii + self.P_mi + self.P_wi + self.P_vi + self.P_di) - #assert(self.P_ii + self.P_mi + self.P_wi + self.P_di == 1.0) - - # ====== D STATE as equivalent to I STATE - self.P_md = self.P_mi; - self.P_dd = self.P_ii; - self.P_id = self.P_di - self.P_wd = self.P_vi #self.P_wi; - self.P_vd = 0.0 #self.P_vi - #print(self.P_dd + self.P_md + self.P_wd + self.P_vd + self.P_id) - #assert(self.P_dd + self.P_md + self.P_wd + self.P_vd + self.P_id == 1.0) - - # ===================================================== - # encoding length terms - self.I_mm = -np.log(self.P_mm) - self.I_wm = -np.log(self.P_wm) - self.I_vm = -np.log(self.P_vm) - self.I_im = -np.log(self.P_im) - self.I_dm = -np.log(self.P_dm) - - self.I_ww = self.I_mm; - self.I_mw = self.I_wm; - self.I_vw = self.I_vm; - self.I_dw = self.I_dm; - self.I_iw = self.I_im; - - self.I_vv = self.I_mm; - self.I_mv = self.I_vm; - self.I_wv = self.I_wm; - self.I_dv = self.I_dm; - self.I_iv = self.I_im; - - self.I_ii = -np.log(self.P_ii) - self.I_mi = -np.log(self.P_mi) - self.I_wi = -np.log(self.P_wi) - self.I_vi = -np.log(self.P_vi) - self.I_di = -np.log(self.P_di) - - self.I_dd = -np.log(self.P_dd) - self.I_md = -np.log(self.P_md) - self.I_wd = -np.log(self.P_wd) - self.I_vd = -np.log(self.P_vd) - self.I_id = -np.log(self.P_id); - - def print(self): - print('M state outgoing: ') - print('Pmm = ', self.I_mm, self.P_mm) - print('Pwm = ', self.I_wm, self.P_wm) - print('Pvm = ', self.I_vm, self.P_vm) - print('Pim = ', self.I_im, self.P_im) - print('Pdm = ', self.I_dm, self.P_dm) - print(self.P_mm + self.P_wm + self.P_vm + self.P_im + self.P_dm) - - print('====================') - print('W state outgoing: ') - print('Pww = ', self.I_ww, self.P_ww) - print('Pmw = ', self.I_mw, self.P_mw) - print('Pvw = ', self.I_vw, self.P_vw) - print('Piw = ', self.I_iw, self.P_iw) - print('Pdw = ', self.I_dw, self.P_dw) - print(self.P_ww + self.P_mw + self.P_vw + self.P_iw + self.P_dw ) - - print('====================') - print('V state outgoing: ') - print('Pvv = ', self.I_vv, self.P_vv) - print('Pmv = ', self.I_mv, self.P_mv) - print('Pwv = ', self.I_wv, self.P_wv) - print('Piv = ', self.I_iv, self.P_iv) - print('Pdv = ', self.I_dv, self.P_dv) - print(self.P_vv + self.P_mv + self.P_wv + self.P_iv + self.P_dv ) - - print('====================') - print('I state outgoing: ') - print('Pii = ', self.I_ii, self.P_ii) - print('Pmi = ', self.I_mi, self.P_mi) - print('Pwi = ', self.I_wi, self.P_wi) - print('Pvi = ', self.I_vi, self.P_vi) - print('Pdi = ', self.I_di, self.P_di) - print(self.P_ii + self.P_mi + self.P_wi + self.P_vi + self.P_di) - - print('====================') - print('D state outgoing: ') - print('Pdd = ', self.I_dd, self.P_dd) - print('Pmd = ', self.I_md, self.P_md) - print('Pwd = ', self.I_wd, self.P_wd) - print('Pvd = ', self.I_vd, self.P_vd) - print('Pid = ', self.I_id, self.P_id) - print(self.P_dd + self.P_md + self.P_wd + self.P_vd + self.P_id ) - - def _set_all_zero_costs(self): - self.I_mm = 0.0 - self.I_wm = 0.0 - self.I_vm = 0.0 - self.I_im = 0.0 - self.I_dm = 0.0 - - self.I_ww = 0.0 - self.I_mw = 0.0 - self.I_vw = 0.0 - self.I_dw = 0.0 - self.I_iw = 0.0 - - self.I_vv = 0.0 - self.I_mv = 0.0 - self.I_wv = 0.0 - self.I_dv = 0.0 - self.I_iv = 0.0 - - self.I_ii = 0.0 - self.I_mi = 0.0 - self.I_wi = 0.0 - self.I_vi = 0.0 - self.I_di = 0.0 - - self.I_dd = 0.0 - self.I_md = 0.0 - self.I_wd = 0.0 - self.I_vd = 0.0 - self.I_id = 0.0 - - def reverse(self): - P_mm = self.P_mm; P_mi = self.P_im; P_md = self.P_dm; P_mw = self.P_wm; P_mv = self.P_vm - P_im = self.P_mi; P_ii = self.P_ii; P_id = self.P_di; P_iw = self.P_wi; P_iv = self.P_vi - P_dd = self.P_dd; P_dm = self.P_md; P_di = self.P_id; P_dw = self.P_wd; P_dv = self.P_vd - P_ww = self.P_ww; P_wm = self.P_mw; P_wi = self.P_iw; P_wd = self.P_dw; P_wv = self.P_vw - P_vm = self.P_mv; P_vv = self.P_vv; P_vd = self.P_dv; P_vw = self.P_wv; P_vi = self.P_iv - - self.P_mm = P_mm; self.P_mi = P_mi; self.P_md = P_md; self.P_mw = P_mw; self.P_mv = P_mv - self.P_im = P_im; self.P_ii = P_ii; self.P_id = P_id; self.P_iw = P_iw; self.P_iv = P_iv - self.P_dd = P_dd; self.P_dm = P_dm; self.P_di = P_di; self.P_dw = P_dw; self.P_dv = P_dv - self.P_ww = P_ww; self.P_wm = P_wm; self.P_wi = P_wi; self.P_wd = P_wd; self.P_wv = P_wv - self.P_vm = P_vm; self.P_vv = P_vv; self.P_vd = P_vd; self.P_vw = P_vw; self.P_vi = P_vi - - # encoding length terms - self.I_mm = -np.log(self.P_mm); self.I_im = -np.log(self.P_im); self.I_dm = -np.log(self.P_dm); - self.I_wm = -np.log(self.P_wm); self.I_vm = -np.log(self.P_vm); - - self.I_ii = -np.log(self.P_ii); self.I_mi = -np.log(self.P_mi); self.I_di = -np.log(self.P_di) - self.I_wi = -np.log(self.P_wi); self.I_vi = -np.log(self.P_vi); - - self.I_md = self.I_mi; self.I_dd = self.I_ii; self.I_id = self.I_di - self.I_wd = self.I_wi; self.I_vd = self.I_vi - - self.I_vv = -np.log(self.P_vv); self.I_mv = -np.log(self.P_mv); self.I_dv = -np.log(self.P_dv) - self.I_wv = -np.log(self.P_wv); self.I_iv = -np.log(self.P_iv); - - self.I_ww = self.I_vv; self.I_iw = self.I_iv; self.I_dw = self.I_dv; - self.I_vw = self.I_wv; self.I_mw = self.I_mv; - - - -class DP5: - - def __init__(self, S,T, backward_run, free_params, zero_transition_costs = False, prohibit_case=True, MVG_MODE_KL=True):#, mean_batch_effect=0.0): - self.S = S - self.T = T - self.S_len = len(S.data_bins) - self.T_len = len(T.data_bins) - #self.mean_batch_effect = mean_batch_effect - self.MVG_MODE_KL = MVG_MODE_KL - #print('*** ', self.S_len, self.T_len) - self.FSA = FiveStateMachine(free_params[0], free_params[1], free_params[2], PROHIBIT_CASE= prohibit_case) - self.backward_run = backward_run - if(backward_run): - self.FSA.reverse() - if(zero_transition_costs): - self.FSA._set_all_zero_costs() - self.init_DP_matrices() - self.init_backtrackers() - self.alignment_str = "" - self.init() - - def init_DP_matrices(self): - - self.DP_M_matrix = [] - self.DP_I_matrix = [] - self.DP_D_matrix = [] - self.DP_W_matrix = [] - self.DP_V_matrix = [] - self.DP_util_matrix = [] # to store match and null lengths that make the amount of compression - - for i in range(self.T_len+1): - self.DP_M_matrix.append(np.repeat(0.0,self.S_len+1)) - self.DP_I_matrix.append(np.repeat(0.0,self.S_len+1)) - self.DP_D_matrix.append(np.repeat(0.0,self.S_len+1)) - self.DP_W_matrix.append(np.repeat(0.0,self.S_len+1)) - self.DP_V_matrix.append(np.repeat(0.0,self.S_len+1)) - - self.DP_util_matrix.append(np.repeat(None,self.S_len+1)) - - self.DP_M_matrix = np.matrix(self.DP_M_matrix) - self.DP_I_matrix = np.matrix(self.DP_I_matrix) - self.DP_D_matrix = np.matrix(self.DP_D_matrix) - self.DP_W_matrix = np.matrix(self.DP_W_matrix) - self.DP_V_matrix = np.matrix(self.DP_V_matrix) - - self.DP_util_matrix = np.matrix(self.DP_util_matrix) - - def init_backtrackers(self): - self.backtrackers_M = [] - self.backtrackers_I = [] - self.backtrackers_D = [] - self.backtrackers_W = [] - self.backtrackers_V = [] - - for i in range(self.T_len+1): - row = [] - for j in range(self.S_len+1): - row.append([0,0,0]) # record backtracker pointer info - self.backtrackers_M.append(row.copy()) - self.backtrackers_I.append(row.copy()) - self.backtrackers_D.append(row.copy()) - self.backtrackers_W.append(row.copy()) - self.backtrackers_V.append(row.copy()) - - def init(self): - - # DP_M --- first row and first col --- np.inf - for j in range(1,self.S_len+1): - self.DP_M_matrix[0,j] = np.inf - self.backtrackers_M[0][j] = [np.inf,np.inf,np.inf] - self.DP_W_matrix[0,j] = np.inf - self.backtrackers_W[0][j] = [np.inf,np.inf,np.inf] - self.DP_V_matrix[0,j] = np.inf - self.backtrackers_V[0][j] = [np.inf,np.inf,np.inf] - - for i in range(1,self.T_len+1): - self.DP_M_matrix[i,0] = np.inf - self.backtrackers_M[i][0] = [np.inf,np.inf,np.inf] - self.DP_W_matrix[i,0] = np.inf - self.backtrackers_W[i][0] = [np.inf,np.inf,np.inf] - self.DP_V_matrix[i,0] = np.inf - self.backtrackers_V[i][0] = [np.inf,np.inf,np.inf] - - # DP_I --- first row np.inf - for j in range(1,self.S_len+1): - self.DP_I_matrix[0,j] = np.inf - self.backtrackers_I[0][j] = [np.inf,np.inf,np.inf] - - for i in range(1,self.T_len+1): - if(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeries)): - cost_D, cost_I = self.compute_cell(i-1,0, only_non_match=True) - elif(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeriesMVG)): - cost_D, cost_I = self.compute_cell_as_MVG(i-1,0, only_non_match=True) - - #self.DP_I_matrix[i,0] = self.DP_I_matrix[i-1,0] + cost_I + self.FSA.I_ii - - # [START] NEW TEST 21122022 ==== - if(i==1): - self.DP_I_matrix[i,0] = self.DP_I_matrix[i-1,0] + cost_I -np.log(1/3) - else: - self.DP_I_matrix[i,0] = self.DP_I_matrix[i-1,0] + cost_I + self.FSA.I_ii - # [END] NEW TEST 21122022 ==== - - #self.backtrackers_I[i][0] = [i-1,0,4] - if(not self.backward_run): - self.backtrackers_I[i][0] = [i-1,0,4] - else: - self.backtrackers_I[i][0] = [i-1,0,0] - - # DP_D --- first col np.inf - for i in range(1,self.T_len+1): - self.DP_D_matrix[i,0] = np.inf - self.backtrackers_D[i][0] = [np.inf,np.inf,np.inf] - - for j in range(1,self.S_len+1): - if(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeries)): - cost_D, cost_I =self.compute_cell(0,j-1, only_non_match=True) - elif(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeriesMVG)): - cost_D, cost_I =self.compute_cell_as_MVG(0,j-1, only_non_match=True) - - #self.DP_D_matrix[0,j] = self.DP_D_matrix[0,j-1] + cost_D + self.FSA.I_dd - - # [START] NEW TEST 21122022 ==== - if(j==1): - self.DP_D_matrix[0,j] = self.DP_D_matrix[0,j-1] + cost_D -np.log(1/3) - else: - self.DP_D_matrix[0,j] = self.DP_D_matrix[0,j-1] + cost_D + self.FSA.I_dd - # [END] NEW TEST 21122022 ==== - - #self.backtrackers_D[0][j] = [0,j-1,3] - if(not self.backward_run): - self.backtrackers_D[0][j] = [0,j-1,3] - else: - self.backtrackers_D[0][j] = [0,j-1,1] - - def run_optimal_alignment(self): - - #for i in tqdm(range(1,self.T_len+1)): - for i in range(1,self.T_len+1): - for j in range(1,self.S_len+1): - if(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeries)): - match_len,non_match_len_D,non_match_len_I = self.compute_cell(i-1,j-1) # here we use i-1 and j-1 to correctly call the time bin to use - elif(isinstance(self.S, TimeSeriesPreprocessor.SummaryTimeSeriesMVG)): - match_len,non_match_len_D,non_match_len_I = self.compute_cell_as_MVG(i-1,j-1) - - if(not self.backward_run): - # filling M matrix - # temp_m = [ self.DP_M_matrix[i-1,j-1] + match_len + self.FSA.I_mm, # 0 - # self.DP_W_matrix[i-1,j-1] + match_len + self.FSA.I_mw, # 1 - # self.DP_V_matrix[i-1,j-1] + match_len + self.FSA.I_mv, # 2 - # self.DP_D_matrix[i-1,j-1] + match_len + self.FSA.I_md, # 3 - # self.DP_I_matrix[i-1,j-1] + match_len + self.FSA.I_mi # 4 - # ] - # [START] NEW TEST 21122022 ==== - if(i==1 and j==1): - temp_m = [ self.DP_M_matrix[i-1,j-1] + match_len -np.log(1/3), #self.FSA.I_mm, # 0 - np.inf,# self.DP_W_matrix[i-1,j-1] + match_len + np.inf, # -np.log(1/5), #+ self.FSA.I_mw, # 1 - np.inf,# self.DP_V_matrix[i-1,j-1] + match_len + np.inf, # -np.log(1/5), #+ self.FSA.I_mv, # 2 - np.inf,# self.DP_D_matrix[i-1,j-1] + match_len -np.log(1/5), #+ self.FSA.I_md, # 3 - np.inf# self.DP_I_matrix[i-1,j-1] + match_len -np.log(1/5) #+ self.FSA.I_mi # 4 - ] - else: - temp_m = [ self.DP_M_matrix[i-1,j-1] + match_len + self.FSA.I_mm, # 0 - self.DP_W_matrix[i-1,j-1] + match_len + self.FSA.I_mw, # 1 - self.DP_V_matrix[i-1,j-1] + match_len + self.FSA.I_mv, # 2 - self.DP_D_matrix[i-1,j-1] + match_len + self.FSA.I_md, # 3 - self.DP_I_matrix[i-1,j-1] + match_len + self.FSA.I_mi # 4 - ] - - # [END] NEW TEST 21122022 ==== - - # filling W matrix - temp_w = [ self.DP_M_matrix[i,j-1] + match_len + self.FSA.I_wm, - self.DP_W_matrix[i,j-1] + match_len + self.FSA.I_ww, - self.DP_V_matrix[i,j-1] + match_len + self.FSA.I_wv, - self.DP_D_matrix[i,j-1] + match_len + self.FSA.I_wd, - self.DP_I_matrix[i,j-1] + match_len + self.FSA.I_wi - ] - # filling V matrix - temp_v = [ self.DP_M_matrix[i-1,j] + match_len+ self.FSA.I_vm, - self.DP_W_matrix[i-1,j] + match_len + self.FSA.I_vw, - self.DP_V_matrix[i-1,j] + match_len + self.FSA.I_vv, - self.DP_D_matrix[i-1,j] + match_len+ self.FSA.I_vd, - self.DP_I_matrix[i-1,j] + match_len+ self.FSA.I_vi - ] - - # filling D matrix - temp_d = [ self.DP_M_matrix[i,j-1] + non_match_len_D + self.FSA.I_dm, - self.DP_W_matrix[i,j-1] + non_match_len_D + self.FSA.I_dw, - self.DP_V_matrix[i,j-1] + non_match_len_D + self.FSA.I_dv, - self.DP_D_matrix[i,j-1] + non_match_len_D + self.FSA.I_dd, - self.DP_I_matrix[i,j-1] + non_match_len_D + self.FSA.I_di - ] - # filling I matrix - temp_i = [ self.DP_M_matrix[i-1,j] + non_match_len_I + self.FSA.I_im, - self.DP_W_matrix[i-1,j] + non_match_len_I + self.FSA.I_iw, - self.DP_V_matrix[i-1,j] + non_match_len_I + self.FSA.I_iv, - self.DP_D_matrix[i-1,j] + non_match_len_I + self.FSA.I_id, - self.DP_I_matrix[i-1,j] + non_match_len_I + self.FSA.I_ii - ] - else: - # filling M matrix - temp_m = [ self.DP_I_matrix[i-1,j-1] + match_len + self.FSA.I_mi, # 0 - self.DP_D_matrix[i-1,j-1] + match_len + self.FSA.I_md, # 1 - self.DP_V_matrix[i-1,j-1] + match_len + self.FSA.I_mv, # 2 - self.DP_W_matrix[i-1,j-1] + match_len + self.FSA.I_mw, # 3 - self.DP_M_matrix[i-1,j-1] + match_len + self.FSA.I_mm # 4 - ] - # filling W matrix - temp_w = [ self.DP_I_matrix[i,j-1] + match_len + self.FSA.I_wi, - self.DP_D_matrix[i,j-1] + match_len+ self.FSA.I_wd, - self.DP_V_matrix[i,j-1] + match_len + self.FSA.I_wv, - self.DP_W_matrix[i,j-1] + match_len + self.FSA.I_ww, - self.DP_M_matrix[i,j-1] + match_len+ self.FSA.I_wm - ] - # filling V matrix - temp_v = [ self.DP_I_matrix[i-1,j] + match_len + self.FSA.I_vi, - self.DP_D_matrix[i-1,j] + match_len + self.FSA.I_vd, - self.DP_V_matrix[i-1,j] + match_len + self.FSA.I_vv, - self.DP_W_matrix[i-1,j] + match_len + self.FSA.I_vw, - self.DP_M_matrix[i-1,j] + match_len + self.FSA.I_vm - ] - - # filling D matrix - temp_d = [ self.DP_I_matrix[i,j-1] + non_match_len_D + self.FSA.I_di, - self.DP_D_matrix[i,j-1] + non_match_len_D + self.FSA.I_dd, - self.DP_V_matrix[i,j-1] + non_match_len_D + self.FSA.I_dv, - self.DP_W_matrix[i,j-1] + non_match_len_D + self.FSA.I_dw, - self.DP_M_matrix[i,j-1] + non_match_len_D + self.FSA.I_dm - ] - # filling I matrix - temp_i = [ self.DP_I_matrix[i-1,j] + non_match_len_I + self.FSA.I_ii, - self.DP_D_matrix[i-1,j] + non_match_len_I + self.FSA.I_id, - self.DP_V_matrix[i-1,j] + non_match_len_I + self.FSA.I_iv, - self.DP_W_matrix[i-1,j] + non_match_len_I + self.FSA.I_iw, - self.DP_M_matrix[i-1,j] + non_match_len_I + self.FSA.I_im - ] - - tot_m = min(temp_m) - min_idx_m = temp_m.index(tot_m) - tot_d = min(temp_d) - min_idx_d = temp_d.index(tot_d) - tot_i = min(temp_i) - min_idx_i = temp_i.index(tot_i) - tot_w = min(temp_w) - min_idx_w = temp_w.index(tot_w) - tot_v = min(temp_v) - min_idx_v = temp_v.index(tot_v) - - self.DP_M_matrix[i,j] = tot_m #+ match_len - self.DP_I_matrix[i,j] = tot_i #+ non_match_len_I - self.DP_D_matrix[i,j] = tot_d #+ non_match_len_D - self.DP_W_matrix[i,j] = tot_w #+ match_len - self.DP_V_matrix[i,j] = tot_v #+ match_len - - # print(i,j,match_len,non_match_len_I,non_match_len_D ) - # print('** ', self.DP_M_matrix[i,j],self.DP_I_matrix[i,j],self.DP_D_matrix[i,j] ) - # print('temp ', temp_m, temp_i,temp_d ) - - # save backtracker info - self.backtrackers_M[i][j] = [i-1,j-1,min_idx_m] - self.backtrackers_W[i][j] = [i,j-1,min_idx_w] - self.backtrackers_V[i][j] = [i-1,j,min_idx_v] - self.backtrackers_D[i][j] = [i,j-1,min_idx_d] - self.backtrackers_I[i][j] = [i-1,j,min_idx_i] - - - # RETURN TOT MESSAGE LENGTH OF THE OPTIMAL ALIGNMENT - if(not self.backward_run): - self.opt_cost = min([self.DP_M_matrix[self.T_len,self.S_len], - self.DP_W_matrix[self.T_len,self.S_len], - self.DP_V_matrix[self.T_len,self.S_len], - self.DP_D_matrix[self.T_len,self.S_len], - self.DP_I_matrix[self.T_len,self.S_len]]) - return - else: - self.opt_cost = min([self.DP_I_matrix[self.T_len,self.S_len], - self.DP_D_matrix[self.T_len,self.S_len], - self.DP_V_matrix[self.T_len,self.S_len], - self.DP_W_matrix[self.T_len,self.S_len], - self.DP_M_matrix[self.T_len,self.S_len] - ]) - return - - - - #def criterion2_compute_cell(self,i,j,only_non_match=False): - def compute_cell(self,i,j,only_non_match=False): - # Maximising the COMPRESSION ============ - if(only_non_match): - return 0.0,0.0 - - μ_S = self.S.mean_trend[j]; σ_S = self.S.std_trend[j]; - ref_data = self.S.data_bins[j] - μ_T = self.T.mean_trend[i]; σ_T = self.T.std_trend[i]; - query_data = self.T.data_bins[i] - - I_ref_model, I_refdata_g_ref_model = MyFunctions.run_dist_compute_v3(ref_data, μ_S, σ_S) - I_query_model, I_querydata_g_query_model = MyFunctions.run_dist_compute_v3(query_data, μ_T, σ_T) - I_ref_model, I_querydata_g_ref_model = MyFunctions.run_dist_compute_v3(query_data, μ_S, σ_S) - I_query_model, I_refdata_g_query_model = MyFunctions.run_dist_compute_v3(ref_data, μ_T, σ_T) - - match_encoding_len1 = I_ref_model + I_querydata_g_ref_model + I_refdata_g_ref_model - match_encoding_len1 = match_encoding_len1/(len(query_data)+len(ref_data)) - match_encoding_len2 = I_query_model + I_refdata_g_query_model + I_querydata_g_query_model - match_encoding_len2 = match_encoding_len2/(len(query_data)+len(ref_data)) - match_encoding_len = (match_encoding_len1 + match_encoding_len2 )/2.0 - #match_encoding_len = torch.min(torch.tensor([match_encoding_len, match_encoding_len2])) - - null = (I_ref_model + I_refdata_g_ref_model + I_query_model + I_querydata_g_query_model)/(len(query_data)+len(ref_data)) - match_compression = match_encoding_len - null - - #match_compression = match_compression - self.mean_batch_effect # [POSSIBLE METHOD]constant adjustment for accounting for batch effect - - non_match_encoding_len_D = 0.0 - non_match_encoding_len_I = 0.0 - self.DP_util_matrix[i+1,j+1] = [null.numpy(),match_encoding_len.numpy(),match_compression.numpy()] - - return match_compression.numpy(), non_match_encoding_len_D, non_match_encoding_len_I - - - def compute_cell_as_MVG(self,i,j,only_non_match=False): - - if(only_non_match): - return 0.0,0.0 - - ref_data = torch.tensor(np.asarray(self.S.data_bins[j]) ) - query_data = torch.tensor(np.asarray(self.T.data_bins[i]) ) - - # μ_S, C_S = MVG.compute_mml_estimates(ref_data, ref_data.shape[1], ref_data.shape[0]) - # C_S = torch.eye(ref_data.shape[1]) - # μ_T, C_T = MVG.compute_mml_estimates(query_data, query_data.shape[1], query_data.shape[0]) - # C_T = torch.eye(query_data.shape[1]) - - μ_S = self.S.mean_trends[j] - μ_T = self.T.mean_trends[i] - - if(self.MVG_MODE_KL): - return Utils().compute_KLDivBasedDist(μ_S,μ_T), 0.0,0.0 - - #return distance.euclidean(μ_S,μ_T), 0.0,0.0 - - C_S = torch.eye(ref_data.shape[1]) - C_T = torch.eye(query_data.shape[1]) - - I_ref_model, I_refdata_g_ref_model = MVG.run_dist_compute_v3(ref_data, μ_S, C_S) - I_query_model, I_querydata_g_query_model = MVG.run_dist_compute_v3(query_data,μ_T, C_T) - I_ref_model, I_querydata_g_ref_model = MVG.run_dist_compute_v3(query_data, μ_S, C_S) - I_query_model, I_refdata_g_query_model = MVG.run_dist_compute_v3(ref_data, μ_T, C_T) - - match_encoding_len1 = I_ref_model + I_querydata_g_ref_model + I_refdata_g_ref_model - match_encoding_len1 = match_encoding_len1/(len(query_data)+len(ref_data)) - match_encoding_len2 = I_query_model + I_refdata_g_query_model + I_querydata_g_query_model - match_encoding_len2 = match_encoding_len2/(len(query_data)+len(ref_data)) - match_encoding_len = (match_encoding_len1 + match_encoding_len2 )/2.0 - - null = (I_ref_model + I_refdata_g_ref_model + I_query_model + I_querydata_g_query_model)/(len(query_data)+len(ref_data)) - - #n_dimensions = self.S.data_bins[0].shape[0] - match_compression = (match_encoding_len - null) - non_match_encoding_len_D = 0.0 - non_match_encoding_len_I = 0.0 - self.DP_util_matrix[i+1,j+1] = [null,match_encoding_len,match_compression] - - assert(null>=0.0) - assert(match_encoding_len>=0.0) - - return match_compression,non_match_encoding_len_D,non_match_encoding_len_I - - - def _backtrack_util(self,backtracker_pointer): - - prev_i = backtracker_pointer[0] - prev_j = backtracker_pointer[1] - prev_state = '-' - - if(not self.backward_run): - if(backtracker_pointer[2]==0): - prev_state = 'M' - elif(backtracker_pointer[2]==1): - prev_state = 'W' - elif(backtracker_pointer[2]==2): - prev_state = 'V' - elif(backtracker_pointer[2]==3): - prev_state = 'D' - elif(backtracker_pointer[2]==4): - prev_state = 'I' - - else: - if(backtracker_pointer[2]==0): - prev_state = 'I' - elif(backtracker_pointer[2]==1): - prev_state = 'D' - elif(backtracker_pointer[2]==2): - prev_state = 'V' - elif(backtracker_pointer[2]==3): - prev_state = 'W' - elif(backtracker_pointer[2]==4): - prev_state = 'M' - - return prev_i, prev_j, prev_state - - def backtrack(self): - self.alignment_str = "" - j = self.S_len ; i = self.T_len - self.S_str = "" ; self.T_str = "" - tracked_path = [] - # seek backtrack starting point - if(not self.backward_run): - last_cell_costs = [self.DP_M_matrix[i,j], - self.DP_W_matrix[i,j], - self.DP_V_matrix[i,j], - self.DP_D_matrix[i,j], - self.DP_I_matrix[i,j]] - min_idx = last_cell_costs.index(min(last_cell_costs)) - - #print('tot_msg_len_of_alignment = ', min(last_cell_costs)) - if(min_idx==0): # match - state = 'M' - elif(min_idx==1): - state = 'W' - elif(min_idx==2): - state = 'V' - elif(min_idx==3): # delete - state = 'D' - elif(min_idx==4): # insert - state = 'I' - else: - last_cell_costs = [self.DP_I_matrix[i,j], - self.DP_D_matrix[i,j], - self.DP_V_matrix[i,j], - self.DP_W_matrix[i,j], - self.DP_M_matrix[i,j]] - min_idx = last_cell_costs.index(min(last_cell_costs)) - - #print('tot_msg_len_of_alignment = ', min(last_cell_costs)) - if(min_idx==0): # match - state = 'I' - elif(min_idx==1): - state = 'D' - elif(min_idx==2): - state = 'V' - elif(min_idx==3): # delete - state = 'W' - elif(min_idx==4): # insert - state = 'M' - - # self.alignment_str = state + self.alignment_str - # self._align_str_util(state) - while(True): - if(i==0 and j==0): - break - #print(i,j,state) - if(state=='M'): # match - prev_i, prev_j, prev_state = self._backtrack_util(self.backtrackers_M[i][j]) - elif(state=='D'): # delete - prev_i, prev_j, prev_state = self._backtrack_util(self.backtrackers_D[i][j]) - elif(state=='I'): - prev_i, prev_j, prev_state = self._backtrack_util(self.backtrackers_I[i][j]) - elif(state=='W'): - prev_i, prev_j, prev_state = self._backtrack_util(self.backtrackers_W[i][j]) - elif(state=='V'): - prev_i, prev_j, prev_state = self._backtrack_util(self.backtrackers_V[i][j]) - #self._align_str_util(state) - self.alignment_str = state + self.alignment_str - #print(i,j, state) - tracked_path.append([i,j]) - #print('goto --> ', prev_i, prev_j, prev_state ) - i = prev_i - j = prev_j - state = prev_state - #self.alignment_str = state + self.alignment_str - - return tracked_path - - - - def get_matched_regions(self): - D_regions = [(m.start(0), m.end(0)) for m in regex.finditer("D+", self.alignment_str)] - I_regions = [(m.start(0), m.end(0)) for m in regex.finditer("I+", self.alignment_str)] - M_regions = [(m.start(0), m.end(0)) for m in regex.finditer("M+", self.alignment_str)] - W_regions = [(m.start(0), m.end(0)) for m in regex.finditer("W+", self.alignment_str)] - V_regions = [(m.start(0), m.end(0)) for m in regex.finditer("V+", self.alignment_str)] - def resolve(regions): - for i in range(len(regions)): - x = list(regions[i]); x[1] = x[1]-1; regions[i] = x - return regions - M_regions = resolve(M_regions); D_regions = resolve(D_regions); I_regions = resolve(I_regions) - i = 0; j = 0; m_id = 0; i_id = 0; d_id = 0; c = 0 - S_match_regions = []; T_match_regions = [] - S_non_match_regions = []; T_non_match_regions = [] - a1 = ""; a2 = "" - - while(c1: - GEX_MAT =args[0] - pseudotime_series = args[1] - m = args[2] - self.GEX_MAT = GEX_MAT - self.pseudotime_series = pseudotime_series - self.compute_cell_density_trend(m=m) - else: - self.GEX_MAT = None - self.pseudotime_series = None - self.cell_densities = None - - - def create_summary_trends(self, X, Y): - # remember we have 100 synthetic cells per each time point - mean_trend = [] - std_trend = [] - data_bins = [] - for t in range(len(self.artificial_time_points)): - data_points = Y[X== self.artificial_time_points[t]] - mean_trend.append(np.mean(data_points) ) - std_trend.append(np.std(data_points) ) - data_bins.append(data_points) - - return SummaryTimeSeries(self.artificial_time_points, mean_trend, std_trend, data_bins,X,Y,self.cell_densities) - - - # data = dataframe, pseudotime series = array of pseudotimes for cells - def create_equal_len_time_bins(self, gene, N_BINS = 10): - bins_indices = np.linspace(np.min(self.pseudotime_series), np.max(self.pseudotime_series), N_BINS+1 ) # bin margins - bins_indices[N_BINS] = np.max(self.pseudotime_series) + 0.00001 # small jitter added to consistently mark the bin boundaries as [), [), .... ]] - data_bins = [] - time_bins = [] - bin_compositions = [] - - for i in range(len(bins_indices)): - if(i==len(bins_indices)-1): - break - t = np.logical_and(self.pseudotime_series >= bins_indices[i], self.pseudotime_series < bins_indices[i+1]) - data_bins = data_bins + list(self.GEX_MAT.loc[t,gene]) - bin_compositions.append(len(self.GEX_MAT.loc[t,gene])) - time_bins = time_bins + list(np.repeat(bins_indices[i+1], len(self.GEX_MAT[t]))) - return bins_indices[1:len(bins_indices)], time_bins, np.asarray(data_bins), bin_compositions - - - - # **** CellAlign paper's interpolation method based on Gaussian Kernel - def interpolate_time_series(self, gene): # WINDOW_SIZE = 0.1 # default value used in CellAlign - - intpl_gex = [] - for intpl_i in range(len(self.artificial_time_points)): - weights = self.cell_weights[intpl_i] - weighted_sum = 0.0 - for cell_i in range(len(self.pseudotime_series)): - weighted_sum = weighted_sum + (weights[cell_i]*self.GEX_MAT[gene][cell_i]) - weighted_sum = weighted_sum/np.sum(weights) - intpl_gex.append(weighted_sum) - intpl_gex = np.asarray(intpl_gex).flatten() - #return intpl_gex, self.artificial_time_points - - # min max normalisation - scaled_intpl_gex = [] - for i in range(len(intpl_gex)): - scaled_intpl_gex.append((intpl_gex[i] - np.min(intpl_gex))/(np.max(intpl_gex) - np.min(intpl_gex) )) - return scaled_intpl_gex, self.artificial_time_points - - - # My trial - interpolation of distributions based on Gaussian kernel (similar to above method but we get a distribution of artificial cells for interpolated time points now) - # weighted mean and weighted std based dist interpolation - # Extending the CellAlign interpolation method based on Gaussian Kernel - def interpolate_time_series_distributions(self, gene, N=50, CONST_STD= False,WEIGHT_BY_CELL_DENSITY=False): - - torch.manual_seed(1) - intpl_gex = [] - all_time_points = [] - intpl_means = [] - intpl_stds = [] - - for intpl_i in range(len(self.artificial_time_points)): - weights = self.cell_weights[intpl_i] - weighted_sum = 0.0 - for cell_i in range(len(self.pseudotime_series)): - weighted_sum = weighted_sum + (weights[cell_i]*self.GEX_MAT[gene][cell_i]) - weighted_sum = weighted_sum/np.sum(weights) - dist_mean = weighted_sum - - if(CONST_STD): # for getting just the average trend across - dist_std = 0.1 - else: # tweighted standard deviation - real_mean = np.mean(self.GEX_MAT[gene]) - weighted_sum_std = 0.0 - for cell_i in range(len(self.pseudotime_series)): - weighted_sum_std = weighted_sum_std + (weights[cell_i]*(( self.GEX_MAT[gene][cell_i] - real_mean) ** 2)) - n = len(self.pseudotime_series) - weighted_std = np.sqrt(weighted_sum_std/(np.sum(weights) * (n-1)/n)) - #print(weighted_std) - if(WEIGHT_BY_CELL_DENSITY): - weighted_std = weighted_std * self.cell_densities[intpl_i] # weighting according to cell density - dist_std = weighted_std - #print(dist_std, ' -- ', self.cell_densities[intpl_i]) - if(dist_std==0 or np.isnan(dist_std)): # case of single data point or no data points - dist_std = 0.1 #np.mean(summary_series_obj.std_trend) - D,temp1,temp2 = MyFunctions.generate_random_dataset(N, dist_mean, dist_std) - - intpl_gex.append(D) - intpl_means.append(dist_mean) - intpl_stds.append(dist_std) - all_time_points.append(np.repeat(self.artificial_time_points[intpl_i], N)) - - return [np.asarray(intpl_gex).flatten(), np.asarray(all_time_points).flatten(), self.artificial_time_points, intpl_means, intpl_stds] - - - def prepare_interpolated_gene_expression_series(self, gene, CONST_STD=False, WEIGHT_BY_CELL_DENSITY=False): - # under the default setting: WINDOW_SIZE=0.1, N=50, m=50, CONST_STD=EVAL_AVERAGE_TREND - # return list with intpl_ref, all_time_points, artificial_time_points, intpl_ref_means, intpl_ref_stds - # intpl_out = self.interpolate_time_series_distributions(observed_data_mat, observed_data_time, gene) - intpl_out = self.interpolate_time_series_distributions(gene, CONST_STD=CONST_STD, WEIGHT_BY_CELL_DENSITY= WEIGHT_BY_CELL_DENSITY) - X = intpl_out[1]; Y = intpl_out[0]; artificial_time_points = intpl_out[2] - obj = self.create_summary_trends(X,Y) - obj.intpl_means = intpl_out[3] - obj.intpl_stds = intpl_out[4] - - self.all_time_points = X # [TODO] -- repeats the same thing! To be done efficiently later!!!! - - return obj - - - def compute_cell_density_trend(self, WINDOW_SIZE = 0.15, m=50): - - artificial_time_points = [] - for j in range(1,m): - artificial_time_points.append((j-1)/(m-1)) - artificial_time_points.append(1.0) - artificial_time_points = np.asarray(artificial_time_points) - artificial_time_points = artificial_time_points[artificial_time_points >= np.min(self.pseudotime_series)] - artificial_time_points = artificial_time_points[artificial_time_points <= np.max(self.pseudotime_series)] - #print( artificial_time_points , '<---- ') - - cell_densities = [] - cell_weights = {} - - for intpl_i in range(len(artificial_time_points)): - weights = [] - for cell_i in range(len(self.pseudotime_series)): - w_i = np.exp(-((self.pseudotime_series[cell_i] - artificial_time_points[intpl_i])**2)/(WINDOW_SIZE**2)) - weights.append(w_i) - # weighted cell density - cell_densities.append(np.sum(weights)) - cell_weights[intpl_i] = np.asarray(weights) - cell_densities = np.asarray(cell_densities) - cell_densities = cell_densities/len(self.pseudotime_series) - - # assigning second minimum in the case of 0 cell density values - #second_min = np.sort(cell_densities)[1] - #for i in range(len(cell_densities)): - # if(cell_densities[i]==0): - # cell_densities[i]= second_min - - self.cell_weights = cell_weights - self.artificial_time_points = artificial_time_points - - self.cell_densities = cell_densities - - #print(self.artificial_time_points) - return cell_weights, artificial_time_points, cell_densities - - #scaled_cell_densities = Utils().minmax_normalise(cell_densities) - # assigning second minimum in the case of 0 cell density values - #second_min = np.sort(scaled_cell_densities)[1] - #for i in range(len(scaled_cell_densities)): - # if(scaled_cell_densities[i]==0): - # scaled_cell_densities[i]= second_min - #self.cell_densities = scaled_cell_densities - #return cell_weights, artificial_time_points, scaled_cell_densities - -# Later TODO: make superclass SummaryTimeSeries for both univariate and multivariate cases -class SummaryTimeSeriesMVG: - - def __init__(self, time_points, data_bins): - self.time_points = np.asarray(time_points) - self.data_bins = data_bins - - self.mean_trends = [] - for data_bin in data_bins: - data_bin = torch.tensor(np.asarray(data_bin) ) - μ, C = MVG.compute_mml_estimates(data_bin, data_bin.shape[1], data_bin.shape[0]) - self.mean_trends.append(μ) - - - -class Utils: - - def minmax_normalise(arr): - - norm_arr = [] - arr = np.asarray(arr) - arr_max = np.max(arr) - arr_min = np.min(arr) - for i in range(len(arr)): - norm_arr.append((arr[i] - arr_min )/(arr_max - arr_min )) - return norm_arr - - - # computes distributional distance under the MML framework - def compute_mml_dist(ref_adata_subset,query_adata_subset, gene): - - ref_data = np.asarray(ref_adata_subset[:,gene].X.todense()).flatten() - query_data = np.asarray(query_adata_subset[:,gene].X.todense()).flatten() - μ_S = np.mean(ref_data) - μ_T = np.mean(query_data) - σ_S =np.std(ref_data) - σ_T =np.std(query_data) - #print(μ_S,μ_T) - if(not np.any(ref_data)): - σ_S = 0.1 - if(not np.any(query_data)): - σ_T = 0.1 - - I_ref_model, I_refdata_g_ref_model = MyFunctions.run_dist_compute_v3(ref_data, μ_S, σ_S) - I_query_model, I_querydata_g_query_model = MyFunctions.run_dist_compute_v3(query_data, μ_T, σ_T) - I_ref_model, I_querydata_g_ref_model = MyFunctions.run_dist_compute_v3(query_data, μ_S, σ_S) - I_query_model, I_refdata_g_query_model = MyFunctions.run_dist_compute_v3(ref_data, μ_T, σ_T) - - match_encoding_len1 = I_ref_model + I_querydata_g_ref_model + I_refdata_g_ref_model - match_encoding_len1 = match_encoding_len1/(len(query_data)+len(ref_data)) - match_encoding_len2 = I_query_model + I_refdata_g_query_model + I_querydata_g_query_model - match_encoding_len2 = match_encoding_len2/(len(query_data)+len(ref_data)) - match_encoding_len = (match_encoding_len1 + match_encoding_len2 )/2.0 - - null = (I_ref_model + I_refdata_g_ref_model + I_query_model + I_querydata_g_query_model)/(len(query_data)+len(ref_data)) - match_compression = match_encoding_len - null - #print(match_compression) - #sb.kdeplot(ref_data, fill=True) - #sb.kdeplot(query_data, fill=True) - return match_compression - - - - \ No newline at end of file diff --git a/source/.ipynb_checkpoints/VisualUtils-checkpoint.py b/source/.ipynb_checkpoints/VisualUtils-checkpoint.py deleted file mode 100644 index 8f9f69a..0000000 --- a/source/.ipynb_checkpoints/VisualUtils-checkpoint.py +++ /dev/null @@ -1,128 +0,0 @@ -import pandas as pd -import seaborn as sb -import matplotlib.pyplot as plt -import anndata -import numpy as np - - -class VisualUtils(): - - def __init__(self, adata_ref, adata_query, cell_type_colname, S_len, T_len, titleS = 'Reference', titleT = 'Query'): - - self.titleS = titleS - self.titleT = titleT - self.pseudotime2bin_celltypes(adata_ref,S_len) - self.pseudotime2bin_celltypes(adata_query,T_len) - meta1 = self.plot_cell_type_proportions(adata_ref, cell_type_colname, 'bin_ids',None,'tab20') - meta2 = self.plot_cell_type_proportions(adata_query, cell_type_colname, 'bin_ids',None,'tab20') - meta1 = self.simple_interpolate(meta1,S_len) - meta2 = self.simple_interpolate(meta2,T_len) - # to make bins compatible with number of artificial timepoints -- the 0th bin is taken to be empty and the first bin carries all the counts coming under both 0th and 1st bin. - meta1.loc[1] = meta1.loc[0] + meta1.loc[1] - meta2.loc[1] = meta2.loc[0] + meta2.loc[1] - meta1.loc[0] = np.repeat(0.0,len(np.unique(adata_ref.obs[cell_type_colname])) ) - meta2.loc[0] = np.repeat(0.0,len(np.unique(adata_query.obs[cell_type_colname]))) - self.metaS = meta1 - self.metaT = meta2 - - # annotates cells with their respective bins based on interpolated pseudotime points - def pseudotime2bin_celltypes(self, adata, n_points): - - adata.obs['bin_ids'] = np.repeat(0,adata.shape[0]) - bin_margins = np.linspace(0,1,n_points+2) - bin_ids = [] - - for i in range(len(bin_margins)-1): - if(i==len(bin_margins)-1): - break - #print(bin_margins[i],i) - if(i= bin_margins[i]) - else: - logic = np.logical_and(adata.obs.time <= bin_margins[i+1], adata.obs.time >= bin_margins[i]) - bin_cells = adata[logic] - #print(bin_cells.shape) - adata.obs['bin_ids'][logic] = i - - # for plotting or getting celltype freq counts per bin - def plot_cell_type_proportions(self, adata, cell_type_colname, covariate_colname, sorter, color_scheme_name="Spectral", plot=False): - meta = pd.DataFrame(np.vstack((adata.obs[cell_type_colname],adata.obs[covariate_colname])).transpose(),columns=[cell_type_colname,covariate_colname]) - meta['COUNTER'] = 1 - meta = meta.groupby([covariate_colname,cell_type_colname])['COUNTER'].sum().unstack() - meta = meta.fillna(0) - meta = meta.sort_values(by=covariate_colname, key=sorter) - if(plot): - p = meta.apply(lambda x: x*100/sum(x), axis=1).plot(kind='bar',stacked=True, color=sb.color_palette(color_scheme_name, 20), grid = False) - #p.legend(labels = ['not infected','infected'], loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1) - p.legend(loc='center left', bbox_to_anchor=(1.25, 0.5), ncol=1) - return meta - - def simple_interpolate(self,meta, n_points): - for i in range(n_points+1): - #print(k) - if(i not in meta.index): - k=i - while(k not in meta.index): - k = k-1 - _temp = meta.loc[k].copy() - _temp.name = i - meta = meta.append(_temp) - meta = meta.sort_index() - return meta - - def plot_comprehensive_alignment_landscape_plot(self, al_obj, order_S_legend=None, order_T_legend=None, paths_to_display=None): - - landscape_mat = pd.DataFrame(al_obj.landscape_obj.L_matrix) - if(paths_to_display==None): - paths_to_display=[al_obj.landscape_obj.alignment_path] - nS_points=len(al_obj.S.time_points) - nT_points=len(al_obj.T.time_points) - match_points_S = np.unique(al_obj.match_points_S) + 1 - match_points_T = np.unique(al_obj.match_points_T) + 1 - - fig, ((ax3, ax1, cbar_ax), (dummy_ax1, ax2, dummy_ax2)) = plt.subplots(nrows=2, ncols=3, figsize=(9*2, 6*2), sharex='col', sharey='row', - gridspec_kw={'height_ratios': [2,1], 'width_ratios': [0.5, 1, 0.5]}) - g = sb.heatmap(landscape_mat, xticklabels=True, yticklabels=True, cmap="viridis", cbar_ax=cbar_ax, ax=ax1, cbar=False) - g.tick_params( labelsize=10, labelbottom = True, bottom=True, top = False)#, labeltop=True) - ax1.set_xlabel('pseudotime') - x_ticks = np.asarray(range(0,nS_points+1)) - y_ticks = np.asarray(range(0,nT_points+1)) - - # first barplot (Reference) --- left horizontal barplot - p= self.metaS.apply(lambda x: x*100/sum(x), axis=1).plot(kind='barh',stacked=True, title=self.titleS ,color=sb.color_palette('deep', 20), grid = False, ax=ax3,legend=False, width=0.7,align='edge') - for patch in p.patches: - if(patch.get_y() in match_points_S): - p.annotate(str('M'), (100, patch.get_y() * 1.005) ) - handles, labels = ax3.get_legend_handles_labels() - for spine in p.spines: - p.spines[spine].set_visible(False) - if(order_S_legend!=None): - dummy_ax1.legend(handles=[handles[idx] for idx in order_S_legend],labels=[labels[idx] for idx in order_S_legend]) - else: - dummy_ax1.legend(handles,labels) - # second barplot (Query) --- bottom barplot - p = self.metaT.apply(lambda x: x*100/sum(x), axis=1).plot(kind='bar',stacked=True, title=self.titleT, color=sb.color_palette('deep', 20), grid = False, ax=ax2, legend=False,width=0.7,align='edge') - for patch in p.patches: - # print(patch.get_height()) - if(patch.get_x() in match_points_T): - p.annotate(str('M'), (patch.get_x() * 1.005, 100) ) - handles, labels = ax2.get_legend_handles_labels() - for spine in p.spines: - p.spines[spine].set_visible(False) - if(order_T_legend!=None): - dummy_ax2.legend(handles=[handles[idx] for idx in order_T_legend],labels=[labels[idx] for idx in order_T_legend],loc='upper left') - else: - dummy_ax2.legend(handles,labels, loc='upper left') - dummy_ax1.axis('off') - dummy_ax2.axis('off') - cbar_ax.axis('off') - if(paths_to_display!=None): # for max 2 paths - styles = ['dashed', 'solid']; i = 0 - for path in paths_to_display: - path_x = [p[0]+0.5 for p in path] - path_y = [p[1]+0.5 for p in path] - ax1.plot(path_x, path_y, color='black', linewidth=3, alpha=0.5, linestyle=styles[i]) # path plot - i=i+1 - ax1.axis(ymin=0, ymax=nT_points+1, xmin=0, xmax=nS_points+1) - plt.tight_layout() - plt.show() \ No newline at end of file diff --git a/source/ClusterUtils.py b/source/ClusterUtils.py index 15d8493..6bbdbc5 100644 --- a/source/ClusterUtils.py +++ b/source/ClusterUtils.py @@ -1,9 +1,12 @@ from sklearn.cluster import AgglomerativeClustering from sklearn.metrics.pairwise import euclidean_distances + +import matplotlib.pyplot as plt from scipy.spatial import distance import scipy.cluster.hierarchy as sch import matplotlib.pyplot as plt from numpy import argmax + import numpy as np import pandas as pd import seaborn as sb @@ -55,6 +58,38 @@ def plot_different_alignments(paths, S_len, T_len, ax, mat=[]): # pass alignment plt.ylabel("T",fontweight='bold') +<<<<<<< HEAD +def run_hierarchical_clustering(aligner): + + aligment_strings = [] + for i in range(len(aligner.gene_list)): + aligment_strings.append(aligner.results[i].alignment_str) + + longestL = np.max([len(a) for a in aligment_strings]) # 30 + + # Numerical Encoding of 5-state Alignment strings + # None - 0; M - 1; W - 2; V - 3; D - 4; I - 5 + E = [] # alignment encoding matrix + for i in range(len(aligment_strings)): + E.append(np.repeat(0, longestL)) + E = np.matrix(E) + + for i in range(len(aligment_strings)): + for j in range(len(aligment_strings[i])): + al_state = aligment_strings[i][j] + if(al_state=='M'): + E[i,j] = 1 + elif(al_state=='W'): + E[i,j] = 2 + elif(al_state=='V'): + E[i,j] = 3 + elif(al_state=='D'): + E[i,j] = 5 + elif(al_state=='I'): + E[i,j] = 6 + E = pd.DataFrame(E) + model = AgglomerativeClustering(n_clusters=None, affinity='euclidean', linkage='ward',distance_threshold = 25) +======= def one_hot_encode(al_string): #print('One hot encoding for alignment string clustering') # Modified code in https://machinelearningmastery.com/how-to-one-hot-encode-sequence-data-in-python/ @@ -86,6 +121,7 @@ def run_hierarchical_clustering_with_one_hot_encoding(aligner,DIST_THRESHOLD=25) E = pd.DataFrame(E) model = AgglomerativeClustering(n_clusters=None, affinity='euclidean', linkage='ward',distance_threshold = DIST_THRESHOLD) +>>>>>>> 90476be5450da6822f1bbfae58e73036d9d713d2 model.fit(E) cluster_ids = model.labels_ @@ -97,6 +133,9 @@ def run_hierarchical_clustering_with_one_hot_encoding(aligner,DIST_THRESHOLD=25) aligner.DistMat.columns = aligner.gene_list aligner.DistMat.index = aligner.gene_list aligner.E = E +<<<<<<< HEAD + # return cluster_ids, gene_clusters +======= # As ordinal data - numerical encoding @@ -382,4 +421,5 @@ def compute_overall_alignment(aligner,mat, plot=False, GAP_SCORE = None): tracked_path.append([0,0]) # NOTE: This alignment string does not have the same interpretation as of the 5-state gene alignment string we get. # Here we are only interested in the path - return alignment_str, tracked_path#, opt_cost_M, tracker_M \ No newline at end of file + return alignment_str, tracked_path#, opt_cost_M, tracker_M +>>>>>>> 90476be5450da6822f1bbfae58e73036d9d713d2 diff --git a/source/Main.py b/source/Main.py index 247124f..158d309 100644 --- a/source/Main.py +++ b/source/Main.py @@ -65,12 +65,12 @@ def print(self): self.landscape_obj.plot_alignment_landscape() def plotTimeSeries(self, refQueryAlignerObj, plot_cells = False, plot_mean_trend= False): - sb.scatterplot(self.S.X, self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref') - sb.scatterplot(self.T.X, self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query') + sb.scatterplot(x=self.S.X, y=self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref') + sb.scatterplot(x=self.T.X, y=self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query') # plt.legend(loc='upper left') if(plot_cells): - sb.scatterplot(refQueryAlignerObj.ref_time, np.asarray(refQueryAlignerObj.ref_mat[self.gene]), color = 'forestgreen' ) - sb.scatterplot(refQueryAlignerObj.query_time, np.asarray(refQueryAlignerObj.query_mat[self.gene]), color = 'midnightblue' ) + sb.scatterplot(x=refQueryAlignerObj.ref_time, y=np.asarray(refQueryAlignerObj.ref_mat[self.gene]), color = 'forestgreen' ) + sb.scatterplot(x=refQueryAlignerObj.query_time, y=np.asarray(refQueryAlignerObj.query_mat[self.gene]), color = 'midnightblue' ) plt.title(self.gene) plt.xlabel('pseudotime') plt.ylabel('log1p expression') @@ -79,8 +79,8 @@ def plotTimeSeries(self, refQueryAlignerObj, plot_cells = False, plot_mean_trend self.plot_mean_trends() def plotTimeSeriesAlignment(self): - sb.scatterplot(self.S.X, self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref') - sb.scatterplot(self.T.X, self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query') + sb.scatterplot(x=self.S.X, y=self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref') + sb.scatterplot(x=self.T.X, y=self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query') # plt.legend(loc='upper left') self.plot_mean_trends() plt.title(self.gene) diff --git a/source/TimeSeriesPreprocessor.py b/source/TimeSeriesPreprocessor.py index a95b1cc..4b8647f 100644 --- a/source/TimeSeriesPreprocessor.py +++ b/source/TimeSeriesPreprocessor.py @@ -19,7 +19,7 @@ def __init__(self, time_points, mean_trend, std_trend, data_bins, X,Y, cell_dens self.intpl_stds = None def plot_mean_trend(self, color='blue'): - 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