# This file created by conda-build 24.1.2
# meta.yaml template originally from:
# /feedstock/recipe, last modified Tue Oct 29 15:32:09 2024
# ------------------------------------------------

package:
  name: numexpr
  version: 2.10.1
source:
  sha256: 9bba99d354a65f1a008ab8b87f07d84404c668e66bab624df5b6b5373403cf81
  url: https://pypi.io/packages/source/n/numexpr/numexpr-2.10.1.tar.gz
build:
  number: '0'
  script: /croot/numexpr_1730215937391/_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: py312h3c60e43_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 2024.9.24 h06a4308_0
    - expat 2.6.3 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
    - libgomp 11.2.0 h1234567_1
    - libstdcxx-ng 11.2.0 h1234567_1
    - libuuid 1.41.5 h5eee18b_0
    - mkl 2023.1.0 h213fc3f_46344
    - mkl-devel 2023.1.0 h3a03a7a_46344
    - mkl-include 2023.1.0 h06a4308_46344
    - mkl-service 2.4.0 py312h5eee18b_1
    - mkl_fft 1.3.10 py312h5eee18b_0
    - mkl_random 1.2.7 py312h526ad5a_0
    - ncurses 6.4 h6a678d5_0
    - numpy 2.1.1 py312hc5e2394_0
    - numpy-base 2.1.1 py312h0da6c21_0
    - openssl 3.0.15 h5eee18b_0
    - pip 24.2 py312h06a4308_0
    - python 3.12.7 h5148396_0
    - readline 8.2 h5eee18b_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 2024b h04d1e81_0
    - wheel 0.44.0 py312h06a4308_0
    - xz 5.4.6 h5eee18b_1
    - zlib 1.2.13 h5eee18b_1
  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 >=1.21,<3
    - numpy >=1.23.0
    - python >=3.12,<3.13.0a0
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: e5cd83bd-c57c-409c-8411-bf5b7dde8259
  recipe-maintainers:
    - djkirkham
    - msarahan
    - ocefpaf
    - scopatz
  remote_url: git@github.com:AnacondaRecipes/numexpr-feedstock.git
  sha: 38e84b92b6889b7c7508bc94b5a708dab13e2251
