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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "mlconjug3"
version = "3.11.0"
description = "A Command Line application and Python library to conjugate French, English, Spanish, Italian, Portuguese and Romanian verbs using Machine Learning techniques."
license = "MIT license"
keywords = ["mlconjug3", "conjugate", "conjugator", "conjugation", "conjugaison", "conjugación", "coniugazione", "conjugação", "conjugare", "verbs", "verbes", "verbos", "ML", "machine-learning", "NLP", "linguistics", "linguistique", "linguistica", "conjug_manager", "sklearn", "scikit-learn"]
classifiers = ["Development Status :: 5 - Production/Stable", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Education", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Utilities", "Intended Audience :: Developers", "Intended Audience :: End Users/Desktop", "Intended Audience :: Education", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Natural Language :: French", "Natural Language :: Spanish", "Natural Language :: Italian", "Natural Language :: Portuguese", "Natural Language :: Romanian", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11"]
homepage = "https://github.com/Ars-Linguistica/mlconjug3"
authors = ["Sekou Diao, Ars-Linguistica <[email protected]>"]
repository = "https://github.com/Ars-Linguistica/mlconjug3"
documentation = "https://mlconjug3.readthedocs.io/en/latest/readme.html"
maintainers = ["Ars-Linguistica <[email protected]>"]
readme = "README.rst"
packages = [
{ include = 'mlconjug3' },
{ include = 'tests' },
]
include = [
{ path = '*.rst', format = 'sdist' },
{ path = 'docs/*.*', format = 'sdist' },
]
exclude = [
{ path = '*.rst', format = 'wheel' },
]
[tool.poetry.scripts]
mlconjug3 = 'mlconjug3.cli:main'
[tool.poetry.dependencies]
python = ">=3.8.0,<3.12"
click = "~8.1.3"
defusedxml = "~0.7.1"
joblib = ">=1.2,<1.4"
scikit-learn = "==1.3.0"
rich = ">=13.2,<13.6"
pyyaml = "~6.0"
tomlkit = ">=0.11.6,<0.13.0"
[tool.poetry.dev-dependencies]
asq = "~1.3.0"
bandit = "~1.7.4"
bump2version = "~1.0.1"
coverage = "~7.3.0"
cryptography = "~41.0.3"
docutils = "~0.20"
mypy = "~1.5"
pathlib2 = "~2.3.7.post1"
pytest = "~7.4.0"
pytest-runner = "~6.0.0"
pyyaml = "~6.0"
tox = "~4.11.0"
sphinx = "~7.1.2"
twine = "~4.0.0"
pytest-cov = "~4.1.0"
codecov = "~2.1.12"
furo = "~2023.8.19"
[tool.poetry.group.dev.dependencies]
black = "^23.1.0"
[tool.bandit]
skips = ["B311"]
[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q"
testpaths = [
"tests",
]
[tool.mypy]
warn_unused_configs = true
strict = true
ignore_missing_imports = true
show_error_codes = true
files = "mlconjug3/"