setup.cfg

[metadata]
name = salmon-triplets
description = Efficient crowdsourcing for ordinal embeddings
author = Scott Sievert
author_email = salmon@stsievert.com
url = https://docs.stsievert.com/salmon
long_description = Salmon is a tool for efficiently generating ordinal
                   embeddings. It relies on active machine learning algorithms
                   to choose the most informative queries for humans to answer.
license = BSD 3-clause License
classifiers =
    Programming Language :: Python :: 3
    License :: OSI Approved :: BSD License
    Topic :: Scientific/Engineering :: Artificial Intelligence

[options]
python_requires = >=3.8
packages = find:
install_requires =
    numpy>=1.18.0
    scipy
    pandas>=1.0.1
    Cython
    scikit-learn
    skorch>=0.8.0
    torch
    pydantic
    PyYAML

tests_require = pytest

[options.extras_require]

server =
    fastparquet
    bokeh==2.0.1
    jinja2<3.1.0
    redis==3.5.*
    dask>=2021.02.0
    distributed>=2021.02.0
    dask-ml
    lz4
    blosc
    cytoolz
    ujson
    pyyaml
    fastapi[all]
    rejson
    httpx
    aiofiles
    pyarrow
    matplotlib
    gunicorn
    python-multipart
    jupyter-server-proxy
    ipywidgets
    starlette_exporter
    pyarrow
    cloudpickle
    fastparquet

dev =
    autodoc_pydantic
    sphinx>=4.0.0
    numpydoc
    sphinx_rtd_theme
    pytest

[versioneer]
VCS = git
style = pep440
versionfile_source = salmon/_version.py
versionfile_build = salmon/_version.py
tag_prefix =
parentdir_prefix = salmon-

[tool:pytest]
addopts = -vv --durations=5