dropped the automatic creation of primaite-dependencies.rst and made it manual as we now only need immediate dependencies
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@@ -29,6 +29,5 @@ clean:
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# Catch-all target: route all unknown targets to Sphinx using the new
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# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
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%: Makefile | clean
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pip-licenses --format=rst --with-urls --output-file=source/primaite-dependencies.rst
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@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
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@@ -36,11 +36,6 @@ IF EXIST %AUTOSUMMARYDIR% (
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RMDIR %AUTOSUMMARYDIR% /s /q
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)
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REM print the YT licenses
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set LICENSEBUILD=pip-licenses --format=rst --with-urls
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set DEPS="%cd%\source\primaite-dependencies.rst"
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%LICENSEBUILD% --output-file=%DEPS%
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%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O%
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goto end
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21
docs/source/primaite-dependencies.rst
Normal file
21
docs/source/primaite-dependencies.rst
Normal file
@@ -0,0 +1,21 @@
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+-------------------+---------+------------------------------------+-------------------------------------------------------------------------------------------------------+----------------------------------------------+
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| Name | Version | License | Description | URL |
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+===================+=========+====================================+=======================================================================================================+==============================================+
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| gymnasium | 0.28.1 | MIT License | A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym). | https://farama.org |
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| ipywidgets | 8.1.3 | BSD License | Jupyter interactive widgets | http://jupyter.org |
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| jupyterlab | 3.6.1 | BSD License | JupyterLab computational environment | https://jupyter.org |
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| kaleido | 0.2.1 | MIT | Static image export for web-based visualization libraries with zero dependencies | https://github.com/plotly/Kaleido |
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| matplotlib | 3.7.1 | Python Software Foundation License | Python plotting package | https://matplotlib.org |
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| networkx | 3.1 | BSD License | Python package for creating and manipulating graphs and networks | https://networkx.org/ |
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| numpy | 1.23.5 | BSD License | NumPy is the fundamental package for array computing with Python. | https://www.numpy.org |
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| platformdirs | 3.5.1 | MIT License | A small Python package for determining appropriate platform-specific dirs, e.g. a "user data dir". | https://github.com/platformdirs/platformdirs |
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| plotly | 5.15.0 | MIT License | An open-source, interactive data visualization library for Python | https://plotly.com/python/ |
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| polars | 0.18.4 | MIT License | Blazingly fast DataFrame library | https://www.pola.rs/ |
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| prettytable | 3.8.0 | BSD License (BSD (3 clause)) | A simple Python library for easily displaying tabular data in a visually appealing ASCII table format | https://github.com/jazzband/prettytable |
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| pydantic | 2.7.0 | MIT License | Data validation using Python type hints | https://github.com/pydantic/pydantic |
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| PyYAML | 6.0 | MIT License | YAML parser and emitter for Python | https://pyyaml.org/ |
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| ray | 2.23.0 | Apache 2.0 | Ray provides a simple, universal API for building distributed applications. | https://github.com/ray-project/ray |
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| stable-baselines3 | 2.1.0 | MIT | Pytorch version of Stable Baselines, implementations of reinforcement learning algorithms. | https://github.com/DLR-RM/stable-baselines3 |
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| tensorflow | 2.12.0 | Apache Software License | TensorFlow is an open source machine learning framework for everyone. | https://www.tensorflow.org/ |
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| typer | 0.9.0 | MIT License | Typer, build great CLIs. Easy to code. Based on Python type hints. | https://github.com/tiangolo/typer |
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+-------------------+---------+------------------------------------+-------------------------------------------------------------------------------------------------------+----------------------------------------------+
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