name: mcmc

channels:
  - defaults
  - conda-forge

dependencies:
  - python=3.9

  # Core packages
  - numpy=1.21
  - scipy=1.7
  - matplotlib=3.5
  - numba=0.55
  - ipykernel=6.9   # Allows this conda environment to show up automatically in Jupyter Lab
  - watermark=2.3    # Generates a summary of package version for use inside Jupyter Notebooks

  # Testing
  - pytest=7.1      # Testing
  - pytest-cov=3.0  # For Coverage testing
  - hypothesis=6.29  # Property based testing

  # Development
  - pre-commit=2.20  # For running black and other tools before commits

  # Documentation
  - sphinx=5.0       # For building the documentation
  - myst-nb=0.16     # Allows sphinx to include Jupyter Notebooks

  # Installing MCFF itself
  - pip=21.2
  - pip:
      - --editable . #install MCFF from the local repository using pip and do it in editable mode