# This file created by conda-build 3.18.9
# meta.yaml template originally from:
# /tmp/build/80754af9/rsync-recipes/numexpr-2.7.0-blas_impl_mkl-python_2.7-on-linux_canary, last modified Fri Aug 16 12:16:37 2019
# ------------------------------------------------

package:
    name: numexpr
    version: 2.7.0
source:
    sha256: 37324b5981b8962102bdc8640c4f05f5589da5d1df2702418783085cb78ca217
    url: https://pypi.io/packages/source/n/numexpr/numexpr-2.7.0.tar.gz
build:
    number: '0'
    script:
        - cp $PREFIX/site.cfg site.cfg
        - /tmp/build/80754af9/numexpr_1565958376660/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placeh/bin/python
            setup.py install --single-version-externally-managed --record=record.txt
    string: py27h9e4a6bb_0
requirements:
    build:
        - _libgcc_mutex 0.1 main
        - binutils_impl_linux-64 2.31.1 h6176602_1
        - binutils_linux-64 2.31.1 h6176602_8
        - gcc_impl_linux-64 7.3.0 habb00fd_1
        - gcc_linux-64 7.3.0 h553295d_8
        - gxx_impl_linux-64 7.3.0 hdf63c60_1
        - gxx_linux-64 7.3.0 h553295d_8
        - libgcc-ng 9.1.0 hdf63c60_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
    host:
        - _libgcc_mutex 0.1 main
        - blas 1.0 mkl
        - ca-certificates 2019.5.15 1
        - certifi 2019.6.16 py27_1
        - intel-openmp 2019.4 243
        - libedit 3.1.20181209 hc058e9b_0
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - mkl 2019.4 243
        - mkl-devel 2019.4 243
        - mkl-include 2019.4 243
        - ncurses 6.1 he6710b0_1
        - numpy-base 1.16.4 py27hde5b4d6_0
        - numpy-devel 1.16.4 py27h4ba5984_0
        - openssl 1.1.1c h7b6447c_1
        - python 2.7.16 h8b3fad2_3
        - readline 7.0 h7b6447c_5
        - setuptools 41.0.1 py27_0
        - sqlite 3.29.0 h7b6447c_0
        - tk 8.6.8 hbc83047_0
        - zlib 1.2.11 h7b6447c_3
    run:
        - blas 1.0 mkl
        - libgcc-ng >=7.3.0
        - libstdcxx-ng >=7.3.0
        - mkl >=2019.4,<2020.0a0
        - mkl-service >=2,<3.0a0
        - numpy >=1.16.4,<2.0a0
        - python >=2.7,<2.8.0a0
test:
    imports:
        - numexpr
        - numexpr.interpreter
    requires:
        - setuptools
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_file: LICENSE.txt
    summary: Fast numerical expression evaluator for NumPy.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - djkirkham
        - msarahan
        - ocefpaf
        - scopatz
