Date: Mon, 11 Nov 2013 21:39:19 +0200 (EET) From: Johannes Jost Meixner <xmj@chaot.net> To: FreeBSD-gnats-submit@freebsd.org Subject: ports/183870: [NEW PORT] math/py-patsy: Python package for statistical models and design matrices Message-ID: <2037031640.enqueue@mx12.chaot.net> Resent-Message-ID: <201311111940.rABJe1mF060730@freefall.freebsd.org>
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>Number: 183870 >Category: ports >Synopsis: [NEW PORT] math/py-patsy: Python package for statistical models and design matrices >Confidential: no >Severity: non-critical >Priority: low >Responsible: freebsd-ports-bugs >State: open >Quarter: >Keywords: >Date-Required: >Class: change-request >Submitter-Id: current-users >Arrival-Date: Mon Nov 11 19:40:00 UTC 2013 >Closed-Date: >Last-Modified: >Originator: Johannes Jost Meixner >Release: FreeBSD 11.0-CURRENT amd64 >Organization: Goldener Grund OÜ >Environment: System: FreeBSD mx12.chaot.net 11.0-CURRENT FreeBSD 11.0-CURRENT #3: Thu Nov 7 16:08:22 EET >Description: Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. Patsy brings the convenience of R "formulas" to Python. WWW: https://www.github.com/pydata/patsy Generated with FreeBSD Port Tools 0.99_8 (mode: new) >How-To-Repeat: >Fix: --- .shar begins here --- # This is a shell archive. Save it in a file, remove anything before # this line, and then unpack it by entering "sh file". Note, it may # create directories; files and directories will be owned by you and # have default permissions. # # This archive contains: # # py-patsy # py-patsy/Makefile # py-patsy/distinfo # py-patsy/pkg-descr # py-patsy/files # py-patsy/files/patch-setup.py # echo c - py-patsy mkdir -p py-patsy > /dev/null 2>&1 echo x - py-patsy/Makefile sed 's/^X//' >py-patsy/Makefile << 'c79e7d6f4eb24ab1fd70d07e5e95bf53' X# Created by: Johannes Meixner <xmj@chaot.net> X# $FreeBSD$ X XPORTNAME= patsy XPORTVERSION= 0.2.1 XCATEGORIES= math python XMASTER_SITES= CHEESESHOP XPKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} X XMAINTAINER= xmj@chaot.net XCOMMENT= Python package for statistical models and design matrices X XLICENSE= BSD X XBUILD_DEPENDS= ${PYNUMPY} XRUN_DEPENDS= ${PYNUMPY} X XUSE_PYTHON= yes XUSE_PYDISTUTILS= easy_install XPYDISTUTILS_AUTOPLIST= yes X XPORTDOCS= API-reference.rst \ X R-comparison.rst \ X builtins-reference.rst \ X categorical-coding.rst \ X changes.rst \ X expert-model-specification.rst \ X formulas.rst \ X index.rst \ X library-developers.rst \ X overview.rst \ X py2-versus-py3.rst \ X quickstart.rst \ X stateful-transforms.rst \ X XPORTEXAMPLES= add_predictors.py \ X example_lm.py \ X example_treatment.py X XOPTIONS_DEFINE= DOCS EXAMPLES X Xpost-install: X @${MKDIR} ${STAGEDIR}${DOCSDIR} X ${INSTALL_DATA} ${PORTDOCS:S|^|${WRKSRC}/doc/|} ${STAGEDIR}${DOCSDIR} X @${MKDIR} ${STAGEDIR}${EXAMPLESDIR} X ${INSTALL_DATA} ${PORTEXAMPLES:S|^|${WRKSRC}/doc/_examples/|} ${STAGEDIR}${EXAMPLESDIR} X X.include <bsd.port.mk> c79e7d6f4eb24ab1fd70d07e5e95bf53 echo x - py-patsy/distinfo sed 's/^X//' >py-patsy/distinfo << 'a5bee34a0584f29f84862855af6c9db5' XSHA256 (patsy-0.2.1.tar.gz) = 31374ce25275813d8f1c48bdda40bba06f7a16cce7dcdfad73f43a555393d065 XSIZE (patsy-0.2.1.tar.gz) = 316115 a5bee34a0584f29f84862855af6c9db5 echo x - py-patsy/pkg-descr sed 's/^X//' >py-patsy/pkg-descr << '8f9a30b08213cc3efaebbdc6d6105547' XPatsy is a Python library for describing statistical models (especially linear Xmodels, or models that have a linear component) and building design matrices. XPatsy brings the convenience of R "formulas" to Python. X XWWW: https://www.github.com/pydata/patsy 8f9a30b08213cc3efaebbdc6d6105547 echo c - py-patsy/files mkdir -p py-patsy/files > /dev/null 2>&1 echo x - py-patsy/files/patch-setup.py sed 's/^X//' >py-patsy/files/patch-setup.py << '8d61f039485247f68638280cf176e65d' X--- ./setup.py.orig 2013-08-20 18:59:30.000000000 +0300 X+++ ./setup.py 2013-11-11 16:18:52.782247350 +0200 X@@ -27,7 +27,6 @@ X license="2-clause BSD", X packages=["patsy"], X url="https://github.com/pydata/patsy", X- install_requires=["numpy"], X classifiers = X [ "Development Status :: 4 - Beta", X "Intended Audience :: Developers", 8d61f039485247f68638280cf176e65d exit --- .shar ends here --- >Release-Note: >Audit-Trail: >Unformatted:
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