Metadata-Version: 2.0
Name: sudoku-lhs
Version: 0.1.0
Summary: LHS with sudoku constraint
Home-page: https://github.com/Technologicat/sudoku_lhs
Author: Juha Jeronen
Author-email: juha.jeronen@jyu.fi
License: BSD
Keywords: latin-hypercube sampling lhs numpy
Platform: Linux
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Provides: sudoku_lhs
Requires-Dist: numpy

Latin hypercube sampler with a sudoku-like constraint.

The sudoku LHS algorithm is a bit like the first stage in the design
of an `N`-dimensional sudoku puzzle, hence the name: each "sudoku box"
must have exactly the same number of samples, and no two samples may
occur on the same axis-aligned hyperplane.

This gives coarse stratification in `N` dimensions with linear runtime.

Supports Python 2.7 and 3.4.


