Conda environment to build and analyze PIConGPU sims

picongpu.yml

## Installing the environment
# 1. Download and install Miniforge, see (https://github.com/conda-forge/miniforge?tab=readme-ov-file#install)
# ```
# curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
# bash Miniforge3-$(uname)-$(uname -m).sh
# ```
#
# 2. Activate the base environment
#   `conda activate` (which maybe preceeded by `source ~/.bashrc`)
#
# 3. Install
#   `mamba env create --file picongpu.yml`
#
#
# 2024 Klaus Steiniger / CC0

name: picongpu

channels:
  - defaults
  - conda-forge

dependencies:
  - scipy >= 1.7.1
  - matplotlib
  - ipython
  - jupyterlab
  - jupyter_contrib_nbextensions
  - pre_commit >=3.5.0
  - c-blosc2 >=2.14.4
  - adios2 >=2.10.1
  - 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
  - fftw >= 3.3.10
  - typeguard >= 4.2.1
  - sympy >= 1.9
  - chevron >= 0.13.1
  - jsonschema == 4.17.3
  - picmistandard >= 0.27.0
  - pint
  - pillow
  - pandas >= 0.21.0
  - imageio