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catalyst/conda/empyrical/meta.yaml
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package:
name: empyrical
version: "0.2.0"
source:
fn: empyrical-0.2.0.tar.gz
url: https://pypi.python.org/packages/e0/e7/e6bf883c009993677f2f283d93c3efcf910c7e42ce0dcd4cf8abd465b070/empyrical-0.2.0.tar.gz
md5: 32a360c6a151b32872e5b6f56dfbe3e4
# 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:
# - nosetests
# 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
# - nose_parameterized >=0.5.0
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