# This file created by conda-build 3.10.9+36.gd10dbde.dirty
# meta.yaml template originally from:
# /home/rdonnelly/conda/aggregate/numpydoc-feedstock/recipe, last modified Tue Apr  3 00:41:18 2018
# ------------------------------------------------

package:
    name: numpydoc
    version: 0.8.0
source:
    fn: numpydoc-0.8.0.tar.gz
    sha256: 61f4bf030937b60daa3262e421775838c945dcdd671f37b69e8e4854c7eb5ffd
    url: https://pypi.io/packages/source/n/numpydoc/numpydoc-0.8.0.tar.gz
build:
    number: '0'
    script: python setup.py install --single-version-externally-managed --record=record.txt
    string: py37_0
requirements:
    host:
        - ca-certificates 2018.03.07 0
        - certifi 2018.4.16 py37_0
        - libedit 3.1.20170329 h6b74fdf_2
        - libffi 3.2.1 hd88cf55_4
        - libgcc-ng 7.2.0 hdf63c60_3
        - libstdcxx-ng 7.2.0 hdf63c60_3
        - ncurses 6.1 hf484d3e_0
        - openssl 1.0.2o h20670df_0
        - python 3.7.0 hc3d631a_0
        - readline 7.0 ha6073c6_4
        - setuptools 39.2.0 py37_0
        - sqlite 3.24.0 h84994c4_0
        - tk 8.6.7 hc745277_3
        - xz 5.2.4 h14c3975_4
        - zlib 1.2.11 ha838bed_2
    run:
        - python >=3.7,<3.8.0a0
        - sphinx
test:
    imports:
        - numpydoc
about:
    description: 'Numpy''s documentation uses several custom extensions to Sphinx.
        These are

        shipped in this numpydoc package, in case you want to make use of them

        in third-party projects.

        '
    dev_url: https://github.com/numpy/numpydoc
    doc_source_url: https://github.com/numpy/numpydoc/blob/master/README.rst
    doc_url: https://pypi.python.org/pypi/numpydoc
    home: https://github.com/numpy/numpydoc
    license: BSD 3-Clause
    license_file: LICENSE.txt
    summary: Sphinx extension to support docstrings in Numpy format
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - jschueller
        - scopatz
