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diffpy.cmi
Advanced tools
Complex modeling infrastructure: a modular framework for multi-modal modeling of scientific data.
.. |title| replace:: diffpy.cmi .. _title: https://diffpy.github.io/diffpy.cmi
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Complex modeling infrastructure: a modular framework for multi-modal modeling of scientific data.
DiffPy.CMI is designed as an extensible complex modeling infrastructure. Users and developers can readily integrate novel data types and constraints into custom workflows. While widely used for advanced analysis of structural data, the framework is general and can be applied to any problem where model parameters are refined to fit calculated quantities to data.
DiffPy.CMI is a community-driven project that supports Unix, Linux, macOS, and Windows platforms. It is designed to be used in Python scripts enabling flexible scripting and automation for advanced and reproducible workflows. Users are encouraged to leverage the software for their modeling needs and to contribute feedback, use cases, and extensions through the project community.
For more information about the diffpy.cmi library, please consult our online documentation <https://diffpy.github.io/diffpy.cmi>_.
If you use diffpy.cmi in a scientific publication, we would like you to cite this package as
Juhás, P.; Farrow, C. L.; Yang, X.; Knox, K. R.; Billinge, S. J. L. Complex Modeling: A Strategy and Software Program for Combining Multiple Information Sources to Solve Ill Posed Structure and Nanostructure Inverse Problems. Acta Crystallogr A Found Adv 2015, 71 (6), 562–568. https://doi.org/10.1107/S2053273315014473.
The preferred method is to use Miniconda Python <https://docs.conda.io/projects/miniconda/en/latest/miniconda-install.html>_
and install from the "conda-forge" channel of Conda packages.
To add "conda-forge" to the conda channels, run the following in a terminal. ::
conda config --add channels conda-forge
We want to install our packages in a suitable conda environment.
The following creates and activates a new environment named diffpy.cmi_env ::
conda create -n diffpy.cmi_env diffpy.cmi
conda activate diffpy.cmi_env
To confirm that the installation was successful, type ::
python -c "import diffpy.cmi; print(diffpy.cmi.__version__)"
The output should print the latest version displayed on the badges above.
If the above does not work, you can use pip to download and install the latest release from
Python Package Index <https://pypi.python.org>_.
To install using pip into your diffpy.cmi_env environment, type ::
pip install diffpy.cmi
If you prefer to install from sources, after installing the dependencies, obtain the source archive from
GitHub <https://github.com/diffpy/diffpy.cmi/>_. Once installed, cd into your diffpy.cmi directory
and run the following ::
pip install .
Use the cmi command-line interface to install and manage modular optional dependencies, known as packs,
and to configure or execute user-defined workflows that combine multiple packs with optional post-installation steps,
known as profiles. You may consult our online documentation <https://diffpy.github.io/diffpy.cmi>_ for more information,
tutorials, and API references.
The -h flag is available for all cmi commands and subcommands.
It's highly recommended to use it wherever necessary.
To display help for the main CLI, type
.. code-block:: bash
cmi -h
cmi --help
Display help for a specific subcommand with,
.. code-block:: bash
cmi <subcommand> -h
Open the full online manual in a web browser by typing,
.. code-block:: bash
cmi --manual
To print information about available and installed packs, profiles, and examples, type,
.. code-block:: bash
cmi info
To print information about packs, profiles, or examples, type
.. code-block:: bash
cmi info packs cmi info profiles cmi info examples
To install packs or profiles into your environment, type
.. code-block:: bash
cmi install <pack-name>
cmi install <profile-name>
To copy an example or list of examples to cwd, type
.. code-block:: bash
cmi copy <example-name>
cmi copy <example-name1> <example-name2>
To copy all examples from a pack or list of packs to cwd, type
.. code-block:: bash
cmi copy <pack-name>
cmi copy <pack-name1> <pack-name2>
To copy all examples to cwd, type
.. code-block:: bash
cmi copy all
To show basic information about your current conda environment, type
.. code-block:: bash
cmi env
If you see a bug or want to request a feature, please report it as an issue <https://github.com/diffpy/diffpy.cmi/issues>_ and/or submit a fix as a PR <https://github.com/diffpy/diffpy.cmi/pulls>_.
Feel free to fork the project and contribute. To install diffpy.cmi in a development mode, with its sources being directly used by Python rather than copied to a package directory, use the following in the root directory ::
pip install -e .
To ensure code quality and to prevent accidental commits into the default branch, please set up the use of our pre-commit hooks.
Install pre-commit in your working environment by running conda install pre-commit.
Initialize pre-commit (one time only) pre-commit install.
Thereafter your code will be linted by black and isort and checked against flake8 before you can commit. If it fails by black or isort, just rerun and it should pass (black and isort will modify the files so should pass after they are modified). If the flake8 test fails please see the error messages and fix them manually before trying to commit again.
Improvements and fixes are always appreciated.
Before contributing, please read our Code of Conduct <https://github.com/diffpy/diffpy.cmi/blob/main/CODE_OF_CONDUCT.rst>_.
For more information on diffpy.cmi please visit the project web-page <https://diffpy.github.io/>_ or email Simon Billinge at sb2896@columbia.edu.
diffpy.cmi is built and maintained with scikit-package <https://scikit-package.github.io/scikit-package/>_.
FAQs
Complex modeling infrastructure: a modular framework for multi-modal modeling of scientific data.
We found that diffpy.cmi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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