Package lmfit

source code

LMfit-py provides a Least-Squares Minimization routine and
class with a simple, flexible approach to parameterizing a
model for fitting to data.  Named Parameters can be held
fixed or freely adjusted in the fit, or held between lower
and upper bounds.  If the separate asteval module has been
installed, parameters can be constrained as a simple
mathematical expression of other Parameters.

version: 0.7.2
last update: 20-June-2013
License: BSD
Author:  Matthew Newville <newville@cars.uchicago.edu>
        Center for Advanced Radiation Sources,
        The University of Chicago
        
Changes applied to lmfit and uncertainties to make it work with sigproc:

fixed uncertainties import to accomodate its place in the ivs repository
uncertainties.umath
    import uncertainties -> from ivs.sigproc.lmfit import uncertainties

uncertainties.unumpy.__init__:
    from uncertainties.unumpy import core -> import core
    uncertainties.unumpy -> ivs.sigproc.lmfit.uncertainties.unumpy

uncertainties.unumpy.core:
    import uncertainties -> from ivs.sigproc.lmfit import uncertainties
    
uncertainties.unumpy.ulinalg
    from uncertainties import __author__ -> from ivs.sigproc.lmfit.uncertainties import __author__
    from uncertainties.unumpy import core -> import core

Delete all tests as they are not nessesary at all. 
uncertainties.unumpy.test_unumpy, uncertainties.unumpy.test_ulinalg,
uncertainties.test_umath, uncertainties.test_uncertainties