Fri Sep 16 15:20:31 2016 UTC ()
Add py-lmfit 0.9.5

A library for least-squares minimization and data fitting in Python,
based on scipy.optimize.


(prlw1)
diff -r1.332 -r1.333 pkgsrc/math/Makefile
diff -r0 -r1.1 pkgsrc/math/py-lmfit/DESCR
diff -r0 -r1.1 pkgsrc/math/py-lmfit/Makefile
diff -r0 -r1.1 pkgsrc/math/py-lmfit/PLIST
diff -r0 -r1.1 pkgsrc/math/py-lmfit/distinfo
cvs diff -r1.332 -r1.333 pkgsrc/math/Makefile (expand / switch to unified diff)

--- pkgsrc/math/Makefile 2016/08/24 23:52:43 1.332
+++ pkgsrc/math/Makefile 2016/09/16 15:20:31 1.333
@@ -1,14 +1,14 @@ @@ -1,14 +1,14 @@
1# $NetBSD: Makefile,v 1.332 2016/08/24 23:52:43 markd Exp $ 1# $NetBSD: Makefile,v 1.333 2016/09/16 15:20:31 prlw1 Exp $
2 2
3COMMENT= Mathematics 3COMMENT= Mathematics
4 4
5SUBDIR+= R 5SUBDIR+= R
6SUBDIR+= R-CGIwithR 6SUBDIR+= R-CGIwithR
7SUBDIR+= R-DAAG 7SUBDIR+= R-DAAG
8SUBDIR+= R-DBI 8SUBDIR+= R-DBI
9SUBDIR+= R-FNN 9SUBDIR+= R-FNN
10SUBDIR+= R-GRASS 10SUBDIR+= R-GRASS
11SUBDIR+= R-ISwR 11SUBDIR+= R-ISwR
12SUBDIR+= R-MatrixModels 12SUBDIR+= R-MatrixModels
13SUBDIR+= R-PHYLOGR 13SUBDIR+= R-PHYLOGR
14SUBDIR+= R-R2HTML 14SUBDIR+= R-R2HTML
@@ -238,26 +238,27 @@ SUBDIR+= pspp @@ -238,26 +238,27 @@ SUBDIR+= pspp
238SUBDIR+= py-Numeric 238SUBDIR+= py-Numeric
239SUBDIR+= py-Scientific 239SUBDIR+= py-Scientific
240SUBDIR+= py-Scientific-doc 240SUBDIR+= py-Scientific-doc
241SUBDIR+= py-almost 241SUBDIR+= py-almost
242SUBDIR+= py-autograd 242SUBDIR+= py-autograd
243SUBDIR+= py-cdecimal 243SUBDIR+= py-cdecimal
244SUBDIR+= py-ephem 244SUBDIR+= py-ephem
245SUBDIR+= py-ephem3 245SUBDIR+= py-ephem3
246SUBDIR+= py-fftw 246SUBDIR+= py-fftw
247SUBDIR+= py-fpconst 247SUBDIR+= py-fpconst
248SUBDIR+= py-gmpy 248SUBDIR+= py-gmpy
249SUBDIR+= py-infinity 249SUBDIR+= py-infinity
250SUBDIR+= py-intervals 250SUBDIR+= py-intervals
 251SUBDIR+= py-lmfit
251SUBDIR+= py-mpmath 252SUBDIR+= py-mpmath
252SUBDIR+= py-munkres 253SUBDIR+= py-munkres
253SUBDIR+= py-networkx 254SUBDIR+= py-networkx
254SUBDIR+= py-noise 255SUBDIR+= py-noise
255SUBDIR+= py-numarray 256SUBDIR+= py-numarray
256SUBDIR+= py-numexpr 257SUBDIR+= py-numexpr
257SUBDIR+= py-numpy 258SUBDIR+= py-numpy
258SUBDIR+= py-pandas 259SUBDIR+= py-pandas
259SUBDIR+= py-patsy 260SUBDIR+= py-patsy
260SUBDIR+= py-pytables 261SUBDIR+= py-pytables
261SUBDIR+= py-roman 262SUBDIR+= py-roman
262SUBDIR+= py-rpy 263SUBDIR+= py-rpy
263SUBDIR+= py-scipy 264SUBDIR+= py-scipy
File Added: pkgsrc/math/py-lmfit/DESCR
A library for least-squares minimization and data fitting in Python.
Built on top of scipy.optimize, lmfit provides a Parameter object
which can be set as fixed or free, can have upper and/or lower
bounds, or can be written in terms of algebraic constraints of
other Parameters. The user writes a function to be minimized as a
function of these Parameters, and the scipy.optimize methods are
used to find the optimal values for the Parameters. The
Levenberg-Marquardt (leastsq) is the default minimization algorithm,
and provides estimated standard errors and correlations between
varied Parameters. Other minimization methods, including Nelder-Mead's
downhill simplex, Powell's method, BFGS, Sequential Least Squares,
and others are also supported. Bounds and contraints can be placed
on Parameters for all of these methods.

In addition, methods for explicitly calculating confidence intervals
are provided for exploring minmization problems where the approximation
of estimating Parameter uncertainties from the covariance matrix
is questionable.
File Added: pkgsrc/math/py-lmfit/Makefile
# $NetBSD: Makefile,v 1.1 2016/09/16 15:20:31 prlw1 Exp $

DISTNAME=	lmfit-0.9.5
PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
CATEGORIES=	math
MASTER_SITES=	${MASTER_SITE_PYPI:=l/lmfit/}

MAINTAINER=	prlw1@cam.ac.uk
HOMEPAGE=	https://pypi.python.org/pypi/lmfit/
COMMENT=	Least-squares minimization with bounds and constraints
LICENSE=	modified-bsd

USE_LANGUAGES=	# none

DEPENDS+=	${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy

.include "../../lang/python/egg.mk"
.include "../../mk/bsd.pkg.mk"
File Added: pkgsrc/math/py-lmfit/PLIST
@comment $NetBSD: PLIST,v 1.1 2016/09/16 15:20:31 prlw1 Exp $
${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
${PYSITELIB}/${EGG_INFODIR}/requires.txt
${PYSITELIB}/${EGG_INFODIR}/top_level.txt
${PYSITELIB}/lmfit/__init__.py
${PYSITELIB}/lmfit/__init__.pyc
${PYSITELIB}/lmfit/__init__.pyo
${PYSITELIB}/lmfit/_differentialevolution.pyc
${PYSITELIB}/lmfit/_differentialevolution.pyo
${PYSITELIB}/lmfit/_version.pyc
${PYSITELIB}/lmfit/_version.pyo
${PYSITELIB}/lmfit/asteval.pyc
${PYSITELIB}/lmfit/asteval.pyo
${PYSITELIB}/lmfit/astutils.pyc
${PYSITELIB}/lmfit/astutils.pyo
${PYSITELIB}/lmfit/confidence.pyc
${PYSITELIB}/lmfit/confidence.pyo
${PYSITELIB}/lmfit/lineshapes.pyc
${PYSITELIB}/lmfit/lineshapes.pyo
${PYSITELIB}/lmfit/minimizer.pyc
${PYSITELIB}/lmfit/minimizer.pyo
${PYSITELIB}/lmfit/model.pyc
${PYSITELIB}/lmfit/model.pyo
${PYSITELIB}/lmfit/models.pyc
${PYSITELIB}/lmfit/models.pyo
${PYSITELIB}/lmfit/ordereddict.pyc
${PYSITELIB}/lmfit/ordereddict.pyo
${PYSITELIB}/lmfit/parameter.pyc
${PYSITELIB}/lmfit/parameter.pyo
${PYSITELIB}/lmfit/printfuncs.pyc
${PYSITELIB}/lmfit/printfuncs.pyo
${PYSITELIB}/lmfit/_differentialevolution.py
${PYSITELIB}/lmfit/_version.py
${PYSITELIB}/lmfit/asteval.py
${PYSITELIB}/lmfit/astutils.py
${PYSITELIB}/lmfit/confidence.py
${PYSITELIB}/lmfit/lineshapes.py
${PYSITELIB}/lmfit/minimizer.py
${PYSITELIB}/lmfit/model.py
${PYSITELIB}/lmfit/models.py
${PYSITELIB}/lmfit/ordereddict.py
${PYSITELIB}/lmfit/parameter.py
${PYSITELIB}/lmfit/printfuncs.py
${PYSITELIB}/lmfit/ui/__init__.py
${PYSITELIB}/lmfit/ui/__init__.pyc
${PYSITELIB}/lmfit/ui/__init__.pyo
${PYSITELIB}/lmfit/ui/basefitter.pyc
${PYSITELIB}/lmfit/ui/basefitter.pyo
${PYSITELIB}/lmfit/ui/ipy_fitter.pyc
${PYSITELIB}/lmfit/ui/ipy_fitter.pyo
${PYSITELIB}/lmfit/ui/basefitter.py
${PYSITELIB}/lmfit/ui/ipy_fitter.py
${PYSITELIB}/lmfit/uncertainties/__init__.py
${PYSITELIB}/lmfit/uncertainties/__init__.pyc
${PYSITELIB}/lmfit/uncertainties/__init__.pyo
${PYSITELIB}/lmfit/uncertainties/umath.pyc
${PYSITELIB}/lmfit/uncertainties/umath.pyo
${PYSITELIB}/lmfit/uncertainties/umath.py
File Added: pkgsrc/math/py-lmfit/distinfo
$NetBSD: distinfo,v 1.1 2016/09/16 15:20:31 prlw1 Exp $

SHA1 (lmfit-0.9.5.tar.gz) = e18d8f5c2fc21c327780a13e50051fcd13401ac4
RMD160 (lmfit-0.9.5.tar.gz) = 3e9c32c8fe88987e35211e4d7ed694eff292dc7d
SHA512 (lmfit-0.9.5.tar.gz) = 9bbc38f7837d139877d344f293c070a16b53876a982e578558690fb833724bb3373075c0c8e8829610c76aeb5d5500c629f51090e8deb5fee42762a5294ed25d
Size (lmfit-0.9.5.tar.gz) = 1128987 bytes