Conda environment to build and analyze PIConGPU sims

picongpu.yml

## Installing the environment
# * Download and install anaconda or miniconda
# * Activate the base environment
#   `conda activate` (which maybe preceeded by `source ~/.bashrc`)
# * Install
#   `conda env create --file picongpu.yml`
#
# Alternatively, mamba could be used instead of conda which is supposed
# to be faster.
# In the base environment
#  `conda install -c conda-forge mamba`
#  `mamba env create --file picongpu.yml`
#
#
# 2023 Klaus Steiniger / CC0

name: picongpu

channels:
  - defaults
  - conda-forge

dependencies:
  - scipy >= 1.7.1
  - ipython
  - jupyterlab
  - jupyter_contrib_nbextensions
  - matplotlib
  - pandas
  - imageio
  - blosc >=1.21.5
  - adios2 >=2.9.1
  - h5py
  - hdf5 >=1.8.13
  - openpmd-api >=0.15.2
  - gcc >=9.5.0
  - pthread-stubs
  - make
  - cmake >=3.22.0
  - openmpi >=1.7.0
  - openmpi-mpicxx >=1.7.0
  - boost-cpp >=1.74.0
  - libpng >= 1.2.9
  - freetype
  - clang-format-12
  - typeguard >= 2.12
  - sympy >= 1.9
  - chevron >= 0.13.1
  - jsonschema >= 4.17.3
  - picmistandard >= 0.0.22
  - pint
  - pillow