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channels:
- conda-forge
- bioconda
dependencies:
- python=3.10
- pip>=23
# dask "complete" equivalent via conda packages
- dask
- distributed
- rich=13.*
# ghostscript 9.18 is very old; keep only if you truly need that exact version.
# If not, drop the pin or use the conda-forge version (>=10).
- ghostscript
- lxml=5.3.0
- pandas=2.2.3
- gitpython=3.1.*
- tqdm=4.67.*
- matplotlib=3.10.*
- pip:
# Pull GPU wheels (CUDA 12.8) from PyTorch's cu128 index; fall back to PyPI for others
- --index-url https://download.pytorch.org/whl/cu129
- --extra-index-url https://pypi.org/simple
# PyTorch + CUDA 12.9
- torch==2.8
- torchvision==0.23
# - torchaudio==2.7.1 # optional, if you need it
# Lightning (classic)
- pytorch-lightning
# Your pinned Python libs
- rootutils==1.0.7
- polars==1.32.2
- hydra-core==1.3.2
- hydra-colorlog==1.2.0
- omegaconf==2.3.0
- pymex==0.9.31
- transformers==4.51.2
- scikit-learn==1.7.1
- biopython==1.85
- ortools==9.14.6206
- esm==3.2.1.post1
# Your package in editable mode
- -e . |