environment.yml 1.37 KB
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# ----------------------------------------------------------------------------------------------------------------------
# Environment with all dependencies to use pystencils
#
#
# Download conda at https://conda.io/miniconda.html and create this environment by running:
#     conda env create -f conda_environment_user.yml
#     . activate pystencils
#
# If you have CUDA installed and want to use your GPU, uncomment the last line to install pycuda
#
# ----------------------------------------------------------------------------------------------------------------------

name: pystencils
dependencies:
  # Basic dependencies:
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  - python >= 3.8
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  - numpy
  - sympy >= 1.1
  - appdirs # to find default cache directory on each platform
  - joblib # caching on hard-disk, this is optional, but if not installed lbmpy is really slow
  - cython # speed up boundary list computation (optional)
  - matplotlib
  - imageio
  - pandas
  - scipy
  - pip
  - pip:
      - islpy # used to optimize staggered kernels
      - py-cpuinfo # get cpu info like cache sizes, supported vector instruction sets, ...
      - graphviz  # can show abstract syntax trees as formatted graphs
      - ipy_table  # HTML tables for jupyter notebooks
      - pyevtk # VTK output for serial simulations
      - blitzdb # file-based No-SQL database to store simulation results
      #- pycuda # add this if you have CUDA installed