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lhsmdu

View on PyPI — Reverse Dependencies (2)

1.1	lhsmdu-1.1-py2.py3-none-any.whl

Wheel Details

Project:	lhsmdu
Version:	1.1
Filename:	lhsmdu-1.1-py2.py3-none-any.whl
Download:	[link]
Size:	5619
MD5:	`a52fe713c5c5d645d8649c3f2853f14f`
SHA256:	`863f85e215247181cfe36a002e13cbcce3484e56459c019ad31ad4c2a9d3443b`
Uploaded:	2020-07-03 17:13:34 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	lhsmdu
Version:	1.1
Summary:	This is an implementation of Latin Hypercube Sampling with Multi-Dimensional Uniformity (LHS-MDU) from Deutsch and Deutsch, "Latin hypercube sampling with multidimensional uniformity.
Author:	Sahil Moza
Author-Email:	sahil.moza[at]gmail.com
Home-Page:	http://github.com/sahilm89/lhsmdu
License:	MIT
Requires-Dist:	numpy
Requires-Dist:	scipy
Description-Content-Type:	text/markdown

[Description omitted; length: 5198 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.34.2)
Root-Is-Purelib:	true
Tag:	py2-none-any
Tag:	py3-none-any

RECORD

Path	Digest	Size
lhsmdu/__init__.py	sha256=VenGYkoJuiZMY6_JRi0megCsMIECBCJZCBVawAHD06w	5490
lhsmdu-1.1.dist-info/LICENSE	sha256=tZM3bRMxF58-FGijyuqj1f_j7JNcTzGLCPvrmXLCEto	1077
lhsmdu-1.1.dist-info/METADATA	sha256=TrpUWwo5FI4EX6pEakAqDgZuf3JxhigG0tRqLs9n004	5652
lhsmdu-1.1.dist-info/WHEEL	sha256=kGT74LWyRUZrL4VgLh6_g12IeVl_9u9ZVhadrgXZUEY	110
lhsmdu-1.1.dist-info/top_level.txt	sha256=lq7z1XhBLO3Gv3b6V8zOCMap3TpvswRd6Prul71Dxqg	7
lhsmdu-1.1.dist-info/RECORD	—	—

top_level.txt

lhsmdu