package:
  name: empyrical
  version: "0.2.1"

source:
  fn: empyrical-0.2.2.tar.gz
  url: https://pypi.python.org/packages/61/0a/959a48f176da49ddd939d49ad53bc6e5e4c82c022f1f724517cb7a82770c/empyrical-0.2.2.tar.gz
  md5: d614402c585ccad847b35e6c73f85a67
#  patches:
   # List any patch files here
   # - fix.patch

# build:
  # noarch_python: True
  # preserve_egg_dir: True
  # entry_points:
    # Put any entry points (scripts to be generated automatically) here. The
    # syntax is module:function.  For example
    #
    # - empyrical = empyrical:main
    #
    # Would create an entry point called empyrical that calls empyrical.main()


  # If this is a new build for the same version, increment the build
  # number. If you do not include this key, it defaults to 0.
  # number: 1

requirements:
  build:
    - python
    - setuptools
    - numpy >=1.9.2
    - pandas >=0.16.1
    - scipy >=0.15.1
    - bottleneck >=1.0.0

  run:
    - python
    - numpy >=1.9.2
    - pandas >=0.16.1
    - scipy >=0.15.1
    - bottleneck >=1.0.0

test:
  # Python imports
  imports:
    - empyrical
    - empyrical.tests

  # commands:
    # You can put test commands to be run here.  Use this to test that the
    # entry points work.


  # You can also put a file called run_test.py in the recipe that will be run
  # at test time.

  requires:
    - nose >=1.3.7

about:
  home: https://github.com/quantopian/empyrical
  license: Apache Software License
  summary: 'empyrical is a Python library with performance and risk statistics\ncommonly used in quantitative finance'

# See
# http://docs.continuum.io/conda/build.html for
# more information about meta.yaml
