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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["setuptools>=68.0"]
build-backend = "setuptools.build_meta"
[project]
name = "lit-nlp"
# LINT.IfChange
version = "1.3.1"
# LINT.ThenChange(./lit_nlp/package.json)
authors = [
{ name="Google, LLC", email="[email protected]" }
]
description = "🔥LIT: The Learning Interpretability Tool"
readme = "README.md"
license = { file = "LICENSE" }
requires-python = ">=3.9"
# LINT.IfChange
dependencies = [
"absl-py>=1.4.0",
"annoy>=1.17.3",
"attrs>=22.1.0",
"etils[epath]>=1.5.0",
"filelock>=3.12.3",
"google-cloud-translate>=3.11.1",
"ipython>=7.34.0",
"Levenshtein>=0.21.1",
"matplotlib>=3.7.1",
"ml-collections>=0.1.1",
"numpy>=1.24.1,<2.0.0",
"pandas[output-formatting]>=2.0.3",
"Pillow>=10.0.0",
"portpicker>=1.5.2",
"requests>=2.31.0",
"rouge-score>=0.1.2",
"sacrebleu>=2.3.1",
"saliency>=0.1.3",
"scikit-learn>=1.0.2",
"scipy>=1.10.1",
"shap>=0.42.0,<0.46.0",
"six>=1.16.0",
"termcolor>=2.3.0",
"tqdm>=4.64.0",
"werkzeug>=2.2.3",
]
# LINT.ThenChange(./requirements.txt)
classifiers = [
"Development Status :: 5 - Production/Stable",
"Framework :: Jupyter",
"Framework :: Pytest",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Programming Language :: JavaScript",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.10",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Scientific/Engineering :: Visualization",
"Typing :: Typed",
]
keywords = [
"interpretability",
"interpretable artifical intelligence",
"explainable",
"explainable artifical intelligence",
"XAI",
"computer vision",
"natural language processing",
"artifical intelligence",
"machine learning",
"deep learning",
"visualization",
"visual analytics",
"tensorflow",
"tf",
"torch",
]
[project.optional-dependencies]
# LINT.IfChange
examples-common = [
"gunicorn>=20.1.0",
"tensorflow>=2.16.0",
"transformers>=4.27.1",
]
# LINT.ThenChange(./requirements_examples_common.txt)
# LINT.IfChange
examples-discriminative-ai = [
"lit-nlp[examples-common]",
"tensorflow-datasets>=4.9.0",
"tf-keras>=2.16",
]
# LINT.ThenChange(./requirements_examples_discriminative_ai.txt)
# LINT.IfChange
examples-generative-ai = [
"lit-nlp[examples-common]",
"google-cloud-aiplatform>=1.60.0",
"keras>=3.0.0",
"keras-nlp>=0.14.0",
"sentencepiece==0.1.99",
"tensorflow-text>=2.16.0",
"torch>=2.0.0",
"vertexai>=1.49.0",
]
# LINT.ThenChange(./requirements_examples_generative_ai.txt)
umap = [
"umap-learn==0.5.6"
]
# LINT.IfChange
test = [
"lit-nlp[examples-discriminative-ai]",
"lit-nlp[examples-generative-ai]",
"lit-nlp[umap]",
"lime==0.2.0.1",
"pytest>=7.4.0,<8.0.0",
"webtest>=2.0",
]
# LINT.ThenChange(./requirements_test.txt)
[project.urls]
"Homepage" = "https://github.com/pair-code/lit"
"Repository" = "https://github.com/PAIR-code/lit"
"Bug Tracker" = "https://github.com/PAIR-code/lit/issues"
[tool.setuptools.packages.find]
include = ["lit_nlp*"]
exclude = ["*_test"]
[tool.pytest.ini_options]
addopts = "--import-mode=importlib"