# This file created by conda-build 3.24.0
# meta.yaml template originally from:
# /feedstock/recipe, last modified Thu Oct  5 14:14:35 2023
# ------------------------------------------------

package:
  name: numexpr
  version: 2.8.7
source:
  sha256: 596eeb3bbfebc912f4b6eaaf842b61ba722cebdb8bc42dfefa657d3a74953849
  url: https://pypi.io/packages/source/n/numexpr/numexpr-2.8.7.tar.gz
build:
  number: '0'
  script: /croot/numexpr_1696515281613/_h_env_placehold_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 --no-build-isolation -vv
  string: py311h65dcdc2_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 2.38 h2a08ee3_1
    - binutils_linux-64 2.38.0 hc2dff05_0
    - gcc_impl_linux-64 11.2.0 h1234567_1
    - gcc_linux-64 11.2.0 h5c386dc_0
    - gxx_impl_linux-64 11.2.0 h1234567_1
    - gxx_linux-64 11.2.0 hc2dff05_0
    - kernel-headers_linux-64 3.10.0 h57e8cba_10
    - ld_impl_linux-64 2.38 h1181459_1
    - 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 h7b6447c_0
    - ca-certificates 2023.08.22 h06a4308_0
    - intel-openmp 2023.1.0 hdb19cb5_46305
    - 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
    - mkl 2023.1.0 h213fc3f_46343
    - mkl-devel 2023.1.0 hc79277c_46343
    - mkl-include 2023.1.0 h06a4308_46343
    - mkl-service 2.4.0 py311h5eee18b_1
    - mkl_fft 1.3.8 py311h5eee18b_0
    - mkl_random 1.2.4 py311hdb19cb5_0
    - ncurses 6.4 h6a678d5_0
    - numpy 1.23.5 py311h08b1b3b_1
    - numpy-base 1.23.5 py311hf175353_1
    - openssl 3.0.11 h7f8727e_2
    - pip 23.2.1 py311h06a4308_0
    - python 3.11.5 h955ad1f_0
    - readline 8.2 h5eee18b_0
    - setuptools 68.0.0 py311h06a4308_0
    - sqlite 3.41.2 h5eee18b_0
    - tbb 2021.8.0 hdb19cb5_0
    - tk 8.6.12 h1ccaba5_0
    - tzdata 2023c h04d1e81_0
    - wheel 0.41.2 py311h06a4308_0
    - xz 5.4.2 h5eee18b_0
    - zlib 1.2.13 h5eee18b_0
  run:
    - blas 1.0 mkl
    - libgcc-ng >=11.2.0
    - libstdcxx-ng >=11.2.0
    - mkl >=2023.1.0,<2024.0a0
    - mkl-service >=2.3.0,<3.0a0
    - numpy >=1.23.5,<2.0a0
    - python >=3.11,<3.12.0a0
test:
  commands:
    - pip check
  requires:
    - pip
    - pytest
about:
  description: 'Numexpr is a fast numerical expression evaluator for NumPy. With it,

    expressions that operate on arrays (like "3*a+4*b") are accelerated and use

    less memory than doing the same calculation in Python.

    '
  dev_url: https://github.com/pydata/numexpr
  doc_url: https://github.com/pydata/numexpr/wiki/Numexpr-Users-Guide
  home: https://github.com/pydata/numexpr
  license: MIT
  license_family: MIT
  license_file: LICENSE.txt
  summary: Fast numerical expression evaluator for NumPy
extra:
  copy_test_source_files: true
  final: true
  flow_run_id: ec00f556-23cf-44d4-82e1-ce6d2ddc8aa6
  recipe-maintainers:
    - djkirkham
    - msarahan
    - ocefpaf
    - scopatz
  remote_url: git@github.com:AnacondaRecipes/numexpr-feedstock.git
  sha: ccb26b1c8e2a679938e2f9a7d14db5d0cedf60e0
