kimpy

kimpy is a Python interface to the KIM API.

Installing kimpy

Requirements

• KIM API 2 package

To install kimpy, you need KIM API. The easiest option for obtaining the KIM API is to install the kim-api pre-compiled binary package for your preferred operating system or package manager. See Obtaining KIM Models for instructions to install the KIM API and the models from OpenKIM on your system.

You can install the KIM API from source.

• Python 3.6 or later

You need Python 3.6 or later to run kimpy. You can have multiple Python versions (2.x and 3.x) installed on the same system without problems.

To install Python 3 for different Linux flavors, macOS and Windows, packages are available at
https://www.python.org/getit/

Using pip

pip is the most popular tool for installing Python packages, and the one included with modern versions of Python.

kimpy can be installed with pip:

pip install kimpy

Note:

Depending on your Python installation, you may need to use pip3 instead of pip.

pip3 install kimpy

Depending on your configuration, you may have to run pip like this:

python3 -m pip install kimpy

Using pip (GIT Support)

pip currently supports cloning over git

pip install git+https://github.com/openkim/kimpy.git

For more information and examples, see the pip install reference.

Using conda

conda is the package management tool for Anaconda Python installations.

Installing kimpy from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge

Once the conda-forge channel has been enabled, kimpy can be installed with:

conda install kimpy

It is possible to list all of the versions of kimpy available on your platform with:

conda search kimpy --channel conda-forge

Example

For an example of using kimpy, take a look at kimpy/tests/test_model.py.

Help

kimpy is designed to closely mimic the C++ KIM API with only a few changes of names. In case one wants to know the names and arguments of a class or function, Use help(object) to get help for any objects in the package.

For exampe:

1. To list all the modules in the package, do

   $ python
   >>> import kimpy
   >>> help(kimpy)

   and then you can find all the available modules under PACKAGE CONTENTS as

   PACKAGE CONTENTS
       charge_unit
       collection
       collection_item_type
       collections
       compute_argument_name
       ...
       temperature_unit
       time_unit

2. To inspect the compute_argument_name module, do

   $ python
   >>> import kimpy
   >>> help(kimpy.compute_argument_name)

   All the functions are listed under FUNCTIONS. For example,

   FUNCTIONS
       get_compute_argument_data_type(...) method of builtins.PyCapsule instance
           get_compute_argument_data_type(compute_argument_name: kimpy.compute_argument_name.ComputeArgumentName) -> KIM::DataType
   
   
           Get the data_type of each defined standard compute_argument_name.
   
           Returns:
               DataType: data_type
       get_compute_argument_name(...) method of builtins.PyCapsule instance
           get_compute_argument_name(index: int) -> kimpy.compute_argument_name.ComputeArgumentName
   
   
           Get the identity of each defined standard compute_argument_name.
   
           Returns:
               ComputeArgumentName: compute_argument_name
   
       get_number_of_compute_argument_names(...) method of builtins.PyCapsule instance
           get_number_of_compute_argument_names() -> int
   
   
           Get the number of standard compute_argument_name's defined by the KIM-API.
   
           Returns:
               int: number_of_compute_arguments

   shows that the function get_compute_argument_name takes an integer index as input, and returns an output: compute_argument_name. You can refer to KIM API docs for further information on the input and outputs.

   All the attributes of the module are listed under DATA. For example,

   DATA
       coordinates = coordinates
       numberOfParticles = numberOfParticles
       ...
       particleSpeciesCodes = particleSpeciesCodes

Copyright

Copyright (c) 2017-2021, Regents of the University of Minnesota.
All Rights Reserved

Contributing

Contributors:
      Mingjian Wen
      Yaser Afshar

Contact

      Mingjian Wen ([email protected])