# This file created by conda-build 24.1.2
# meta.yaml template originally from:
# /feedstock/recipe, last modified Mon Jan 27 14:39:18 2025
# ------------------------------------------------

package:
  name: scikit-learn
  version: 1.6.1
source:
  sha256: b4fc2525eca2c69a59260f583c56a7557c6ccdf8deafdba6e060f94c1c59738e
  url: https://pypi.io/packages/source/s/scikit-learn/scikit_learn-1.6.1.tar.gz
build:
  missing_dso_whitelist: null
  number: '0'
  script:
    - /croot/scikit-learn_1737988764076/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_plac/bin/python
      -m pip install --no-deps --ignore-installed --no-build-isolation . -vv
  string: py312h6a678d5_0
requirements:
  build:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - _sysroot_linux-64_curr_repodata_hack 3 haa98f57_10
    - binutils_impl_linux-64 2.40 h5293946_0
    - binutils_linux-64 2.40.0 hc2dff05_1
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_1
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_1
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.40 h12ee557_0
    - libgcc-devel_linux-64 11.2.0 h1234567_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-devel_linux-64 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - sysroot_linux-64 2.17 h57e8cba_10
  host:
    - _libgcc_mutex 0.1 main
    - _openmp_mutex 5.1 1_gnu
    - blas 1.0 mkl
    - bzip2 1.0.8 h5eee18b_6
    - ca-certificates 2024.12.31 h06a4308_0
    - cython 3.0.11 py312h5eee18b_1
    - expat 2.6.4 h6a678d5_0
    - intel-openmp 2023.1.0 hdb19cb5_46306
    - ld_impl_linux-64 2.40 h12ee557_0
    - libffi 3.4.4 h6a678d5_1
    - libgcc-ng 11.2.0 h1234567_1
    - libgfortran-ng 11.2.0 h00389a5_1
    - libgfortran5 11.2.0 h1234567_1
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - meson 1.6.0 py312h06a4308_0
    - meson-python 0.17.1 py312h5eee18b_0
    - mkl 2023.1.0 h213fc3f_46344
    - mkl-service 2.4.0 py312h5eee18b_2
    - mkl_fft 1.3.11 py312h5eee18b_0
    - mkl_random 1.2.8 py312h526ad5a_0
    - ncurses 6.4 h6a678d5_0
    - ninja 1.12.1 h06a4308_0
    - ninja-base 1.12.1 hdb19cb5_0
    - numpy 2.0.2 py312hc5e2394_0
    - numpy-base 2.0.2 py312h0da6c21_0
    - openssl 3.0.15 h5eee18b_0
    - packaging 24.2 py312h06a4308_0
    - pip 24.2 py312h06a4308_0
    - pyproject-metadata 0.9.0 py312h06a4308_0
    - python 3.12.8 h5148396_0
    - readline 8.2 h5eee18b_0
    - scipy 1.15.1 py312hc5e2394_0
    - setuptools 72.1.0 py312h06a4308_0
    - sqlite 3.45.3 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.14 h39e8969_0
    - tzdata 2025a h04d1e81_0
    - wheel 0.44.0 py312h06a4308_0
    - xz 5.4.6 h5eee18b_1
    - zlib 1.2.13 h5eee18b_1
  run:
    - _openmp_mutex
    - joblib >=1.2.0
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - numpy >=1.19,<3
    - numpy >=1.19.5
    - python >=3.12,<3.13.0a0
    - scipy >=1.6.0
    - threadpoolctl >=3.1.0
test:
  commands:
    - pip check
    - export OPENBLAS_NUM_THREADS=1
    - export OMP_NUM_THREADS=1
    - pytest --timeout 1200 -nauto --verbose --pyargs sklearn -k "not (_not_a_real_test)"
  imports:
    - sklearn
    - sklearn.cluster
    - sklearn.datasets
    - sklearn.decomposition
    - sklearn.ensemble
    - sklearn.feature_extraction
    - sklearn.linear_model
    - sklearn.manifold
    - sklearn.metrics
    - sklearn.neighbors
    - sklearn.svm
    - sklearn.tree
    - sklearn.utils
  requires:
    - matplotlib-base >=3.3.4
    - numpydoc >=1.2.0
    - pandas >=1.1.5
    - pip
    - pooch >=1.6.0
    - pyarrow >=12.0.0
    - pytest >=7.1.2
    - pytest-timeout
    - pytest-xdist
    - scikit-image >=0.17.2
about:
  description: 'Scikit-learn is an open source machine learning library that

    supports supervised and unsupervised learning.  It also provides

    various tools for model fitting, data preprocessing, model

    selection, model evaluation, and many other utilities.

    '
  dev_url: https://github.com/scikit-learn/scikit-learn
  doc_url: https://scikit-learn.org/dev/user_guide.html
  home: https://scikit-learn.org/
  license: BSD-3-Clause
  license_family: BSD
  license_file: COPYING
  summary: A set of python modules for machine learning and data mining
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: cb766265-b19c-4d29-85c6-103cc7744fa7
  recipe-maintainers:
    - adrinjalali
    - amueller
    - astaric
    - glemaitre
    - jakirkham
    - jeremiedbb
    - jnothman
    - lesteve
    - ocefpaf
    - ogrisel
    - rth
  remote_url: git@github.com:AnacondaRecipes/scikit-learn-feedstock.git
  sha: fdf7b00cde654c843911fcec87c510a1f68ff862
