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pyproject.toml
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pyproject.toml
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# (C) Copyright 2024 Anemoi contributors.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
#
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergovernmental organisation
# nor does it submit to any jurisdiction.
[build-system]
requires = [ "setuptools>=60", "setuptools-scm>=8" ]
[project]
name = "anemoi-training"
description = "A package to hold various functions to support training of ML models."
keywords = [ "ai", "tools", "training" ]
license = { file = "LICENSE" }
authors = [
{ name = "European Centre for Medium-Range Weather Forecasts (ECMWF)", email = "software.support@ecmwf.int" },
]
requires-python = ">=3.9,<3.13" # Unable to use 3.13 until pyshtools updates
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"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",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
]
dynamic = [ "version" ]
dependencies = [
"anemoi-datasets>=0.5.2",
"anemoi-graphs>=0.4.1",
"anemoi-models>=0.4.1",
"anemoi-utils[provenance]>=0.4.4",
"datashader>=0.16.3",
"einops>=0.6.1",
"hydra-core>=1.3",
"matplotlib>=3.7.1",
"mlflow>=2.11.1",
"numpy<2", # Pinned until we can confirm it works with anemoi graphs
"pynvml>=11.5",
"pyshtools>=4.10.4",
"pytorch-lightning>=2.1",
"timm>=0.9.2",
"torch>=2.2",
"torch-geometric>=2.3.1,<2.5",
"torchinfo>=1.8",
"tqdm>=4.65",
"zarr>=2.14.2",
]
optional-dependencies.all = [ ]
optional-dependencies.dev = [
"anemoi-training[docs,tests,all]",
"pre-commit>=3.3.3",
]
optional-dependencies.docs = [
"nbsphinx",
"pandoc",
"sphinx",
"sphinx-argparse",
"sphinx-rtd-theme",
]
optional-dependencies.profile = [
"holistictraceanalysis>=0.2",
"pandas>=1.3.2",
"rich>=13.6",
"tabulate>=0.9",
]
optional-dependencies.tests = [ "hypothesis", "pytest", "pytest-mock" ]
urls.Changelog = "https://github.com/ecmwf/anemoi-training/CHANGELOG.md"
urls.Documentation = "https://anemoi-training.readthedocs.io/"
urls.Homepage = "https://github.com/ecmwf/anemoi-training/"
urls.Issues = "https://github.com/ecmwf/anemoi-training/issues"
urls.Repository = "https://github.com/ecmwf/anemoi-training/"
# command for interactive DDP (not supposed to be used directly)
# the dot is intentional, so it doesn't trigger autocomplete
# Files need to be named profiler due to A005 Module `profile` is shadowing a Python builtin module
scripts.".anemoi-training-profile" = "anemoi.training.commands.profiler:main"
scripts.".anemoi-training-train" = "anemoi.training.commands.train:main"
# Add subcommand in the `commands` directory
scripts.anemoi-training = "anemoi.training.__main__:main"
[tool.setuptools_scm]
version_file = "src/anemoi/training/_version.py"
[tool.ruff]
target-version = "py39"
line-length = 120
src = [ "src" ]
exclude = [ "docs/" ]
preview = true
lint.flake8-import-conventions.extend-aliases."pytorch_lightning" = "pl"
lint.pydocstyle.convention = "numpy"
select = [
"A", # flake8 builtins
# "ANN", # flake8-annotations
"ANN001", # Type annotation
"ANN201", # Return type public
"ANN202", # Return type private
"ANN205", # Return type static method
"ANN206", # Return type class method
"ARG", # Unused arguments
"B", # flake8-bugbear
"BLE", # Non-specific exceptions
"C4", # Comprehensions
"C90", # Mccabe complexity
"COM", # Commas
"CPY", # Copyright
# "C", # pylint convention
"D", # pydocstyle
# "DOC", # pydoclint
"DTZ", # Datetimes
"E", # pycodestyle error
"EM", # Error messages
"ERA", # Found unused code
"F", # flake8 error
"FA", # Future annotations
# "EXE", # Executable
# "FBT", # Boolean traps
"FLY", # Fstrings
"FURB", # Modernising code
"G", # flake8 logging format
"ICN", # Import conventions
"ISC", # Implicit string concatenation
"LOG", # Logging
# "I", # isort
"N", # pep8 naming
"NPY", # Numpys
"PERF", # Perfomance linting
"PGH", # Pygrep hooks
"PIE", # Misc lints
# "PL", # Pylint (superset of C, E, R, W)
"PT", # Pytest
"PTH", # Use Pathlib
"Q", # Quotes
"R", # Refactor
"RET", # Return statements
"RSE", # Raises
"RUF", # Ruff specific
"S", # bandit !IMPORTANT
"SIM", # flake8-simplify
"T10", # Debug statements
"T20", # Print statements
"TCH", # Type checking blocks
"TD", # Todos
"TID", # Tidy imports
"TRY", # Exception handling antipatterns
"UP", # Pyupgrade
"W", # pycodestyle warning
"YTT", # flake8-2020
]
ignore = [
"B018",
"B028",
"D100",
"D101",
"D102",
"D103",
"D104",
"D105",
"D401",
"E203",
"PT018",
"S101",
"TD003",
]