# This file created by conda-build 3.17.6
# meta.yaml template originally from:
# /tmp/build/80754af9/rsync-recipes/numexpr-2.6.9-blas_impl_mkl-python_3.7-on-linux_64, last modified Fri Jan 11 14:54:50 2019
# ------------------------------------------------

package:
    name: numexpr
    version: 2.6.9
source:
    sha256: fc218b777cdbb14fa8cff8f28175ee631bacabbdd41ca34e061325b6c44a6fa6
    url: https://pypi.io/packages/source/n/numexpr/numexpr-2.6.9.tar.gz
build:
    number: '0'
    script:
        - cp $PREFIX/site.cfg site.cfg
        - /tmp/build/80754af9/numexpr_1547241149894/_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: py37h9e4a6bb_0
requirements:
    build:
        - binutils_impl_linux-64 2.31.1 h6176602_1
        - binutils_linux-64 2.31.1 h6176602_6
        - gcc_impl_linux-64 7.3.0 habb00fd_1
        - gcc_linux-64 7.3.0 h553295d_6
        - gxx_impl_linux-64 7.3.0 hdf63c60_1
        - gxx_linux-64 7.3.0 h553295d_6
        - libgcc-ng 8.2.0 hdf63c60_1
        - libstdcxx-ng 8.2.0 hdf63c60_1
    host:
        - blas 1.0 mkl
        - ca-certificates 2018.03.07 0
        - certifi 2018.11.29 py37_0
        - intel-openmp 2019.1 144
        - libedit 3.1.20170329 h6b74fdf_2
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 8.2.0 hdf63c60_1
        - libgfortran-ng 7.3.0 hdf63c60_0
        - libstdcxx-ng 8.2.0 hdf63c60_1
        - mkl 2019.1 144
        - mkl-devel 2019.1 144
        - mkl-include 2019.1 144
        - ncurses 6.1 he6710b0_1
        - numpy-base 1.15.4 py37hde5b4d6_0
        - numpy-devel 1.15.4 py37h4ba5984_0
        - openssl 1.1.1a h7b6447c_0
        - python 3.7.2 h0371630_0
        - readline 7.0 h7b6447c_5
        - setuptools 40.6.3 py37_0
        - sqlite 3.26.0 h7b6447c_0
        - tk 8.6.8 hbc83047_0
        - xz 5.2.4 h14c3975_4
        - zlib 1.2.11 h7b6447c_3
    run:
        - blas 1.0 mkl
        - libgcc-ng >=7.3.0
        - libstdcxx-ng >=7.3.0
        - mkl >=2019.1,<2020.0a0
        - numpy >=1.15.4,<2.0a0
        - python >=3.7,<3.8.0a0
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
