# This file created by conda-build 3.18.9
# meta.yaml template originally from:
# /home/conda/recipe_root, last modified Thu Jul 25 18:25:37 2019
# ------------------------------------------------

package:
    name: autograd
    version: '1.3'
source:
    fn: autograd-1.3.tar.gz
    sha256: a15d147577e10de037de3740ca93bfa3b5a7cdfbc34cfb9105429c3580a33ec4
    url: https://pypi.io/packages/source/a/autograd/autograd-1.3.tar.gz
build:
    noarch: python
    number: '0'
    script: python -m pip install --no-deps --ignore-installed .
    string: py_0
requirements:
    host:
        - _libgcc_mutex 0.1 main
        - ca-certificates 2019.6.16 hecc5488_0
        - certifi 2019.6.16 py27_1
        - future 0.17.1 py27_1000
        - libblas 3.8.0 10_openblas
        - libcblas 3.8.0 10_openblas
        - libffi 3.2.1 he1b5a44_1006
        - libgcc-ng 9.1.0 hdf63c60_0
        - libgfortran-ng 7.3.0 hdf63c60_0
        - liblapack 3.8.0 10_openblas
        - libopenblas 0.3.6 h6e990d7_5
        - libstdcxx-ng 9.1.0 hdf63c60_0
        - ncurses 6.1 hf484d3e_1002
        - numpy 1.16.4 py27h95a1406_0
        - openblas 0.3.6 h6e990d7_5
        - openssl 1.1.1c h516909a_0
        - pip 19.2.1 py27_0
        - python 2.7.15 h5a48372_1009
        - readline 8.0 hf8c457e_0
        - scipy 1.2.1 py27h09a28d5_1
        - setuptools 41.0.1 py27_0
        - sqlite 3.29.0 hcee41ef_0
        - tk 8.6.9 hed695b0_1002
        - wheel 0.33.4 py27_0
        - zlib 1.2.11 h516909a_1005
    run:
        - future >=0.15.2
        - numpy >=1.10
        - python
        - scipy >=0.17
test:
    imports:
        - autograd
        - autograd.numpy
        - autograd.scipy
        - autograd.scipy.stats
about:
    home: https://github.com/HIPS/autograd
    license: MIT
    summary: Efficiently computes derivatives of numpy code.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - ericmjl
        - richardotis
