dga

View on PyPIReverse Dependencies (0)

0.1.6 dga-0.1.6-cp37-cp37m-win_amd64.whl
dga-0.1.6-cp37-cp37m-macosx_10_7_x86_64.whl
dga-0.1.6-cp36-cp36m-win_amd64.whl
dga-0.1.6-cp36-cp36m-macosx_10_7_x86_64.whl
dga-0.1.6-cp35-cp35m-win_amd64.whl
dga-0.1.6-cp35-cp35m-macosx_10_6_x86_64.whl

Wheel Details

Project: dga
Version: 0.1.6
Filename: dga-0.1.6-cp35-cp35m-win_amd64.whl
Download: [link]
Size: 26800
MD5: f88910034ec5f9b378f7c1468090584d
SHA256: 43866029a2faa1bfcd19eecc46a4e01141f4ff90d3b0a36a317c20939384502f
Uploaded: 2019-01-02 05:05:48 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: dga
Version: 0.1.6
Summary: A simple discrete genetic algorithm.
Author: Michael Sparapany
Author-Email: msparapa[at]purdue.edu
Home-Page: https://github.com/msparapa/dga
License: MIT
Requires-Python: >=3.5
Requires-Dist: bitarray (>=0.8.1)
Requires-Dist: numpy (>=1.14.3)
Requires-Dist: pathos (>=0.2.2.1)
Requires-Dist: pytest
[Description omitted; length: 39 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.31.1)
Root-Is-Purelib: false
Tag: cp35-cp35m-win_amd64

RECORD

Path Digest Size
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dga/dga.py sha256=-bMaAaw8Xlumgwk4h2I8dlSv4ocLpeyAc7WxoFL4Tcg 7993
dga/gene.py sha256=VxXM_XNgcBEUNtBFnkgEE5ldjdYlHOVW4CFqxM1kWes 1795
dga/release.py sha256=n3oM6B_EMz93NsTI18NNZd-jKFcUPzUkbIKj5VFK5ok 22
dga/tests/test_gene.py sha256=BK0fw5BLpk6KoqojrJAK2ov3YrHAvBQbrG3QC-Ttn1I 1305
dga-0.1.6.dist-info/METADATA sha256=fgzI2FZU5nJ4FdDW5Ryg6JdeTFgyz_hHEohHmBNd4L8 412
dga-0.1.6.dist-info/RECORD
dga-0.1.6.dist-info/WHEEL sha256=5t140dZF8EIt8zPJ1QBOWmhybl_bZudh5t7xSibKWHU 106
dga-0.1.6.dist-info/top_level.txt sha256=RbriNATBqvCPUwti4RxHc-297DLabKR0BPdUjbNJM40 4

top_level.txt

dga