# This file created by conda-build 24.5.1
# meta.yaml template originally from:
# C:\b\abs_f4b98l6lgk\clone\recipe, last modified Wed Jun 12 19:33:31 2024
# ------------------------------------------------

package:
  name: joblib
  version: 1.4.2
source:
  sha256: 1d95f5f3ab303be89aa4666956bf05a589f56e52c29b836267c8e3885223ff90
  url: https://github.com/joblib/joblib/archive/1.4.2.tar.gz
build:
  number: '0'
  script: C:\\b\\abs_f4b98l6lgk\\croot\\joblib_1718217224240\\_h_env\\python.exe -m
    pip install . --no-deps --no-build-isolation -vv
  string: py312haa95532_0
requirements:
  host:
    - bzip2 1.0.8 h2bbff1b_6
    - ca-certificates 2024.3.11 haa95532_0
    - expat 2.6.2 hd77b12b_0
    - libffi 3.4.4 hd77b12b_1
    - openssl 3.0.13 h2bbff1b_2
    - pip 24.0 py312haa95532_0
    - python 3.12.3 h1d929f7_1
    - setuptools 69.5.1 py312haa95532_0
    - sqlite 3.45.3 h2bbff1b_0
    - tk 8.6.14 h0416ee5_0
    - tzdata 2024a h04d1e81_0
    - vc 14.2 h2eaa2aa_1
    - vs2015_runtime 14.29.30133 h43f2093_3
    - wheel 0.43.0 py312haa95532_0
    - xz 5.4.6 h8cc25b3_1
    - zlib 1.2.13 h8cc25b3_1
  run:
    - python >=3.12,<3.13.0a0
test:
  commands:
    - pip check
    - python -c "from joblib import Memory, Parallel, delayed"
  imports:
    - joblib
    - joblib.externals
    - joblib.externals.cloudpickle
    - joblib.externals.loky
    - joblib.externals.loky.backend
    - joblib.test
    - joblib.test.data
  requires:
    - pip
    - pytest
about:
  description: '"A set of tools to provide lightweight pipelining in Python. In particular:

    transparent disk-caching of functions and lazy re-evaluation (memoize pattern),

    easy simple parallel computing. Joblib is optimized to be fast and robust on

    large data in particular and has specific optimizations for numpy arrays."

    '
  dev_url: https://github.com/joblib/joblib
  doc_url: https://joblib.readthedocs.io/
  home: https://joblib.readthedocs.io/
  license: BSD-3-Clause
  license_family: BSD
  license_url: https://github.com/joblib/joblib/blob/1.4.2/LICENSE.txt
  summary: 'Lightweight pipelining: using Python functions as pipeline jobs.'
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: f464828a-fa0e-4886-b769-eae4eebd7a63
  recipe-maintainers:
    - jakirkham
    - lesteve
    - ocefpaf
    - ogrisel
    - pierreglaser
    - tomMoral
  remote_url: [email protected]:AnacondaRecipes/joblib-feedstock.git
  sha: 79c68341bfce7e31852e814d4d9d5c9d9b2ed0e5