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The venv cannot be named recode, since a student might be working through multiple exemplars which would lead to name conflicts for the venvs. I named the conda venv mcmc for Monte Carlo Markov Chain.
34 lines
858 B
YAML
34 lines
858 B
YAML
name: mcmc
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channels:
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- defaults
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- conda-forge
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dependencies:
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- python=3.9
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# Core packages
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- numpy=1.21
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- scipy=1.7
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- matplotlib=3.5
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- numba=0.55
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- ipykernel=6.9 # Allows this conda environment to show up automatically in Jupyter Lab
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- watermark=2.3 # Generates a summary of package version for use inside Jupyter Notebooks
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# Testing
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- pytest=7.1 # Testing
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- pytest-cov=3.0 # For Coverage testing
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- hypothesis=6.29 # Property based testing
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# Development
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- pre-commit=2.20 # For running black and other tools before commits
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# Documentation
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- sphinx=5.0 # For building the documentation
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- myst-nb=0.16 # Allows sphinx to include Jupyter Notebooks
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# Installing MCFF itself
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- pip=21.2
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- pip:
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- --editable . #install MCFF from the local repository using pip and do it in editable mode
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