# This file created by conda-build 3.10.9+36.gd10dbde.dirty
# meta.yaml template originally from:
# /home/rdonnelly/conda/aggregate/bottleneck-feedstock/recipe, last modified Mon Feb 12 11:52:51 2018
# ------------------------------------------------

package:
    name: bottleneck
    version: 1.2.1
source:
    fn: Bottleneck-1.2.1.tar.gz
    sha256: 6efcde5f830aed64feafca0359b51db0e184c72af8ba6675b4a99f263922eb36
    url: https://pypi.io/packages/source/B/Bottleneck/Bottleneck-1.2.1.tar.gz
build:
    number: '1'
    script: python setup.py install --single-version-externally-managed --record=record.txt
    string: py27h035aef0_1
requirements:
    build:
        - binutils_impl_linux-64 2.28.1 had2808c_3
        - binutils_linux-64 7.2.0 had2808c_27
        - gcc_impl_linux-64 7.2.0 habb00fd_3
        - gcc_linux-64 7.2.0 h550dcbe_27
        - libstdcxx-ng 7.2.0 hdf63c60_3
    host:
        - blas 1.0 mkl
        - ca-certificates 2018.03.07 0
        - certifi 2018.4.16 py27_0
        - intel-openmp 2018.0.3 0
        - libedit 3.1.20170329 h6b74fdf_2
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 7.2.0 hdf63c60_3
        - libgfortran-ng 7.2.0 hdf63c60_3
        - libstdcxx-ng 7.2.0 hdf63c60_3
        - mkl 2018.0.3 1
        - ncurses 6.1 hf484d3e_0
        - numpy 1.11.3 py27h1b885b7_8
        - numpy-base 1.11.3 py27hdbf6ddf_8
        - openssl 1.0.2o h20670df_0
        - python 2.7.15 h1571d57_0
        - readline 7.0 ha6073c6_4
        - setuptools 39.2.0 py27_0
        - sqlite 3.24.0 h84994c4_0
        - tk 8.6.7 hc745277_3
        - zlib 1.2.11 ha838bed_2
    run:
        - libgcc-ng >=7.2.0
        - numpy >=1.11.3,<2.0a0
        - python >=2.7,<2.8.0a0
test:
    commands:
        - python -c "import bottleneck; bottleneck.test()"
    imports:
        - bottleneck
        - bottleneck.move
        - bottleneck.nonreduce
        - bottleneck.nonreduce_axis
        - bottleneck.reduce
        - bottleneck.slow
        - bottleneck.tests
    requires:
        - nose
about:
    description: 'Bottleneck is a collection of fast NumPy array functions written
        in

        Cython.

        '
    dev_url: https://github.com/kwgoodman/bottleneck
    doc_url: http://berkeleyanalytics.com/bottleneck
    home: http://berkeleyanalytics.com/bottleneck
    license: BSD 2-Clause
    license_family: BSD
    license_file: bottleneck/LICENSE
    summary: Fast NumPy array functions written in Cython.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - jakirkham
        - msarahan
        - wesm
