meta.yaml

package:
  name: nltk
  version: "3.2.1"

source:
  fn: nltk-3.2.1.tar.gz
  url: https://files.pythonhosted.org/packages/58/85/8fa6f8c488507aab7d6234ce754bbbe61bfeb8382489785e2d764bf8f52a/nltk-3.2.1.tar.gz
  md5: 27d84d2d11449d709ccd1deac18deb05
#  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
    #
    # - nltk = nltk:main
    #
    # Would create an entry point called nltk that calls nltk.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

  run:
    - python

test:
  # Python imports
  imports:
    - nltk
    - nltk.app
    - nltk.ccg
    - nltk.chat
    - nltk.chunk
    - nltk.classify
    - nltk.cluster
    - nltk.corpus
    - nltk.corpus.reader
    - nltk.draw
    - nltk.inference
    - nltk.metrics
    - nltk.misc
    - nltk.parse
    - nltk.sem
    - nltk.sentiment
    - nltk.stem
    - nltk.tag
    - nltk.tbl
    - nltk.test
    - nltk.test.unit
    - nltk.test.unit.translate
    - nltk.tokenize
    - nltk.translate
    - nltk.twitter

  # 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

about:
  home: http://nltk.org/
  license: Apache Software License
  summary: 'Natural Language Toolkit'

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