pyproject.toml

[tool.poetry]
name = "concise-concepts"
version = "0.8.1"
description = "This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity confidence scores!"
authors = ["David Berenstein <david.m.berenstein@gmail.com>"]
license = "MIT"
readme = "README.md"
homepage = "https://github.com/pandora-intelligence/concise-concepts"
repository = "https://github.com/pandora-intelligence/concise-concepts"
documentation = "https://github.com/pandora-intelligence/concise-concepts"
keywords = ["spacy", "NER", "few-shot classification", "nlu"]
classifiers = [
    "Intended Audience :: Developers",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Topic :: Scientific/Engineering",
    "Topic :: Software Development"
]
packages = [{include = "concise_concepts"}]


[tool.poetry.dependencies]
python = ">=3.8,<3.12"
spacy = "^3"
scipy = "^1.7"
gensim = "^4"
spaczz = "^0.5.4"
sense2vec = "^2.0.1"

[tool.poetry.plugins]

[tool.poetry.plugins."spacy_factories"]
"spacy" = "concise_concepts.__init__:make_concise_concepts"

[tool.poetry.group.dev.dependencies]
black = "^22"
flake8 = "^5"
pytest = "^7.1"
pre-commit = "^2.20"
pep8-naming = "^0.13"
flake8-bugbear = "^22.9"
flake8-docstrings = "^1.6"
ipython = "^8.7.0"
ipykernel = "^6.17.1"

[build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"

[tool.pytest.ini_options]
testpaths = "tests"

[tool.black]
preview = true

[tool.isort]
profile = "black"
src_paths = ["concise_concepts"]