# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Thu May 25 13:21:17 2023
# ------------------------------------------------

package:
  name: imbalanced-learn
  version: 0.10.1
source:
  fn: imbalanced-learn-0.10.1.tar.gz
  sha256: bc7609619ec3c38c442292928239ad3d10b5deb0af8a29c83822b7b57b319f8b
  url: https://pypi.io/packages/source/i/imbalanced-learn/imbalanced-learn-0.10.1.tar.gz
build:
  number: '1'
  script: /croot/imbalanced-learn_1685020884354/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_/bin/python
    -m pip install . --no-deps -vv --no-build-isolation
  string: py311h06a4308_1
requirements:
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - bzip2 1.0.8 h7b6447c_0
    - ca-certificates 2023.01.10 h06a4308_0
    - ld_impl_linux-64 2.38 h1181459_1
    - libffi 3.4.4 h6a678d5_0
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - ncurses 6.4 h6a678d5_0
    - openssl 1.1.1t h7f8727e_0
    - pip 23.0.1 py311h06a4308_0
    - python 3.11.3 h7a1cb2a_0
    - readline 8.2 h5eee18b_0
    - setuptools 66.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.38.4 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - joblib >=1.1.1
    - numpy >=1.17.3
    - python >=3.11,<3.12.0a0
    - scikit-learn >=1.0.2
    - scipy >=1.3.2
  run_constrained:
    - threadpoolctl >=2.0.0
test:
  commands:
    - pip check
    - pytest --timeout 300 --verbose --pyargs imblearn
  imports:
    - imblearn
  requires:
    - pip
    - pytest >=5.0.1
    - pytest-timeout
about:
  description: 'imbalanced-learn is a python package offering a number of re-sampling

    techniques commonly used in datasets showing strong between-class imbalance.

    It is compatible with scikit-learn and is part of scikit-learn-contrib

    projects.

    '
  dev_url: https://github.com/scikit-learn-contrib/imbalanced-learn
  doc_url: https://imbalanced-learn.org/stable/
  home: https://github.com/scikit-learn-contrib/imbalanced-learn
  license: MIT
  license_family: MIT
  license_file: LICENSE
  summary: Python module to balance data set using under- and over-sampling
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: 20e29e05-b7a6-4055-9cc8-06d54a21701e
  recipe-maintainers:
    - glemaitre
  remote_url: git@github.com:AnacondaRecipes/imbalanced-learn-feedstock.git
  sha: e716056155fbf354e265814d093b36a8b8ac334b
