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95 lines (82 loc) · 2.46 KB
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[tool.poetry]
name = "mxtaltools"
version = "0.1.0"
description = "MXtalTools: Molecular Crystals Machine Learning Toolkit"
authors = ["Michael Kilgour <mjakilgour@gmail.com>"]
readme = "README.md"
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"License :: OSI Approved :: BSD License",
]
include = [
"LICENSE",
"README.md",
"main.py",
"mxtaltools/**/*.py",
"mxtaltools/**/*.yaml",
"configs/**/*.yaml",
"misc/**/*.py",
"tests/**/*.py",
]
exclude = [
"**/old/**",
"**/*.model",
"**/*.pt",
]
[tool.poetry.urls]
"repository" = "https://github.com/InfluenceFunctional/MXtalTools"
"issues" = "https://github.com/InfluenceFunctional/MXtalTools/issues"
"documentation" = "https://mxtaltools.readthedocs.io/en/latest/index.html"
# ---------------------------------------------------------------------------
# NOTE: PyTorch, PyTorch Geometric, and their C extensions (torch-scatter,
# torch-sparse, torch-cluster, pyg_lib, torch_spline_conv) must be installed
# manually before running `pip install mxtaltools`, because the correct
# wheels depend on your CUDA version. See the Installation docs for the
# exact commands.
# ---------------------------------------------------------------------------
[tool.poetry.dependencies]
python = ">=3.9"
# Scientific stack
numpy = "*"
scipy = ">=1.11.3"
pandas = ">=2.1.1"
numba = "*"
scikit-learn = ">=1.2.2"
scikit-image = "*"
networkx = "*"
# Molecular / crystal utilities
ase = ">=3.22.1"
rdkit = ">=2024.03.5"
# ML utilities
einops = "*"
msgpack = "*"
POT = "*" # Python Optimal Transport
# Visualisation & reporting
matplotlib = "*"
plotly = ">=5.17.0"
kaleido = ">=0.2.1"
seaborn = "*"
Pillow = ">=10.0.1"
tqdm = "*"
# Config / IO
PyYAML = ">=6.0.1"
pathtools = ">=0.1.2"
# Experiment tracking & testing
wandb = ">=0.15.12"
pytest = ">=7.4.2"
# Optional: CSD Python API (requires a valid CCDC licence)
# csd-python-api = "*"
[tool.poetry.extras]
# Install UMA model support with: pip install mxtaltools[uma]
uma = ["fairchem-core"]
[tool.poetry.dependencies.fairchem-core]
version = "*"
optional = true
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"