superbpe/tokenizers_superbpe/bindings/python/pyproject.toml

[project]
name = 'tokenizers'
requires-python = '>=3.7'
authors = [
    {name = 'Nicolas Patry', email = 'patry.nicolas@protonmail.com'},
    {name = 'Anthony Moi', email = 'anthony@huggingface.co'}
]
classifiers = [
  "Development Status :: 5 - Production/Stable",
  "Intended Audience :: Developers",
  "Intended Audience :: Education",
  "Intended Audience :: Science/Research",
  "License :: OSI Approved :: Apache Software License",
  "Operating System :: OS Independent",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.7",
  "Programming Language :: Python :: 3.8",
  "Programming Language :: Python :: 3.9",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
]
keywords = ["NLP", "tokenizer", "BPE", "transformer", "deep learning"]
dynamic = [
    'description',
    'license',
    'readme',
    'version'
]
dependencies = ["huggingface_hub>=0.16.4,<1.0"]

[project.urls]
Homepage = 'https://github.com/huggingface/tokenizers'
Source = 'https://github.com/huggingface/tokenizers'


[project.optional-dependencies]
testing = ["pytest", "requests", "numpy", "datasets", "black==22.3", "ruff"]
docs = ["sphinx", "sphinx_rtd_theme", "setuptools_rust"]
dev = ["tokenizers[testing]"]


[build-system]
requires = ["maturin>=1.0,<2.0"]
build-backend = "maturin"

[tool.maturin]
python-source = "py_src"
module-name = "tokenizers.tokenizers"
bindings = 'pyo3'
features = ["pyo3/extension-module"]

[tool.black]
line-length = 119
target-version = ['py35']

[tool.ruff]
line-length = 119
target-version = "py311"
lint.ignore = [
    # a == None in tests vs is None.
    "E711",
    # a == False in tests vs is False.
    "E712",
    # try.. import except.. pattern without using the lib.
    "F401",
    # Raw type equality is required in asserts
    "E721",
    # Import order
    "E402",
    # Fixtures unused import
    "F811",
]