Metadata-Version: 1.1
Name: gvar
Version: 6.0
Summary: Utilities for manipulating Gaussian random variables.
Home-page: https://github.com/gplepage/lsqfit.git
Author: G. Peter Lepage
Author-email: g.p.lepage@cornell.edu
License: GPLv3+
Description:     This package provides tools for creating and manipulating 
            Gaussian random variables from correlated multi-dimensional
            Gaussian distributions. The Gaussian variables are represented
            by objects of type :class:`gvar.GVar` which can be combined 
            with each other and with ordinary numbers in arbitrary
            arithmetic expressions, including standard functions such
            ``sin`` and ``exp``, to create new :class:`gvar.GVar`\s whose
            correlations with the original variables are tracked implicitly
            (and handled correctly).
        
            This package relies on ``numpy`` for efficient array arithmetic, 
            and on Cython to compile efficient core routines and interface code.
            
Platform: Any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Cython
Classifier: Topic :: Scientific/Engineering
Requires: cython (>=0.17)
Requires: numpy (>=1.7)
