embedsim/pyproject.toml at main · Agent-CI/embedsim · GitHub

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[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "embedsim"
version = "0.1.1"
description = "A Python library for computing Embedding Similarity scores using embeddings"
authors = [
    {name = "Agent CI", email = "hello@agentci.com"},
    {name = "Travis Dent", email = "root@a10k.co"}
]
readme = "README.md"
requires-python = ">=3.10"
license = "MIT"
keywords = ["embeddings", "similarity", "machine-learning", "nlp", "vector-similarity"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Developers",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development :: Libraries :: Python Modules",
]
dependencies = [
    "numpy>=1.21.0",
    "pydantic-settings>=2.0.0",
]

[project.optional-dependencies]
openai = [
    "openai>=1.0.0",
]
sentence-transformers = [
    "sentence-transformers>=2.2.0",
]
dev = [
    "pytest>=7.0",
    "pytest-cov",
    "mypy",
    "python-dotenv>=1.0.0",
]

[project.urls]
Homepage = "https://github.com/Agent-CI/embedsim"
Repository = "https://github.com/Agent-CI/embedsim.git"
Issues = "https://github.com/Agent-CI/embedsim/issues"

[tool.setuptools.packages.find]
where = ["."]
include = ["embedsim*"]

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]