Date: Thu, 14 Nov 2013 13:02:46 +0200 (EET) From: Johannes Jost Meixner <xmj@chaot.net> To: FreeBSD-gnats-submit@freebsd.org Cc: wenheping@gmail.com Subject: ports/183951: [PATCH] math/py-pymc: update to 2.3,1 Message-ID: <594357577.enqueue@mx12.chaot.net> Resent-Message-ID: <201311141110.rAEBA1Ob085565@freefall.freebsd.org>
next in thread | raw e-mail | index | archive | help
>Number: 183951
>Category: ports
>Synopsis: [PATCH] math/py-pymc: update to 2.3,1
>Confidential: no
>Severity: non-critical
>Priority: low
>Responsible: freebsd-ports-bugs
>State: open
>Quarter:
>Keywords:
>Date-Required:
>Class: update
>Submitter-Id: current-users
>Arrival-Date: Thu Nov 14 11:10:00 UTC 2013
>Closed-Date:
>Last-Modified:
>Originator: Johannes Jost Meixner
>Release: FreeBSD 11.0-CURRENT amd64
>Organization:
>Environment:
System: FreeBSD mx12.chaot.net 11.0-CURRENT FreeBSD 11.0-CURRENT #3: Thu Nov 7 16:08:22 EET
>Description:
- Update to 2.3,1
- Add license
- Add matplotlib dependency as per docs/INSTALL.rst
- Add DOCS option
- Add stage support
Port maintainer (wenheping@gmail.com) is cc'd.
Generated with FreeBSD Port Tools 0.99_8 (mode: update, diff: ports)
>How-To-Repeat:
>Fix:
--- py27-pymc-2.3,1.patch begins here ---
diff -ruN /usr/ports/math/py-pymc/Makefile ./Makefile
--- /usr/ports/math/py-pymc/Makefile 2013-10-26 03:52:33.000000000 +0300
+++ ./Makefile 2013-11-14 12:58:21.017349595 +0200
@@ -1,9 +1,8 @@
# Created by: Wen Heping <wenheping@gmail.com>
-# $FreeBSD: math/py-pymc/Makefile 331644 2013-10-26 00:52:33Z gerald $
+# $FreeBSD$
PORTNAME= pymc
-PORTVERSION= 2.0
-PORTREVISION= 1
+PORTVERSION= 2.3
PORTEPOCH= 1
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
@@ -12,11 +11,35 @@
MAINTAINER= wenheping@gmail.com
COMMENT= Markov Chain Monte Carlo Sampling Toolkit
-BUILD_DEPENDS= ${PYNUMPY}
-RUN_DEPENDS:= ${BUILD_DEPENDS}
+LICENSE= AFL
+LICENSE_NAME= Academic Free License
+LICENSE_FILE= ${WRKSRC}/LICENSE
+LICENSE_PERMS= auto-accept dist-mirror dist-sell pkg-mirror pkg-sell
+
+BUILD_DEPENDS= ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}matplotlib>0:${PORTSDIR}/math/py-matplotlib
+LIB_DEPENDS= liblapack.so:${PORTSDIR}/math/lapack \
+ libblas.so:${PORTSDIR}/math/blas
+RUN_DEPENDS= ${PYNUMPY} \
+ ${PYTHON_PKGNAMEPREFIX}matplotlib>0:${PORTSDIR}/math/py-matplotlib
+
+OPTIONS_DEFINE= DOCS
+DOCSDIR= ${PREFIX}/share/doc/py-${PORTNAME}
USE_PYTHON= yes
USE_PYDISTUTILS= yes
+PYTHON_P3K_PLIST_HACK= yes
+PORTDOCS= *
+
+post-install:
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/flib.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/gp/cov_funs/distances.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/gp/cov_funs/isotropic_cov_funs.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/gp/incomplete_chol.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/gp/linalg_utils.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/Container_values.so
+ ${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/LazyFunction.so
+ ${MKDIR} ${STAGEDIR}${DOCSDIR}
+ ${INSTALL_DATA} ${WRKSRC}/docs/*.rst ${STAGEDIR}${DOCSDIR}
-NO_STAGE= yes
.include <bsd.port.mk>
diff -ruN /usr/ports/math/py-pymc/distinfo ./distinfo
--- /usr/ports/math/py-pymc/distinfo 2012-07-14 16:54:48.000000000 +0300
+++ ./distinfo 2013-11-14 10:22:13.226930415 +0200
@@ -1,2 +1,2 @@
-SHA256 (pymc-2.0.tar.gz) = 15bbf1e0df9e080d367d639462c4b2b9290826ca069a76ac2bc79d795fe6e653
-SIZE (pymc-2.0.tar.gz) = 1200416
+SHA256 (pymc-2.3.tar.gz) = db029c59d6a04f0c97d88993151c4ee58c76b9ad5c71ead7ee250088ba4cce0d
+SIZE (pymc-2.3.tar.gz) = 13080085
diff -ruN /usr/ports/math/py-pymc/pkg-descr ./pkg-descr
--- /usr/ports/math/py-pymc/pkg-descr 2012-07-14 16:54:48.000000000 +0300
+++ ./pkg-descr 2013-11-14 10:43:55.937529554 +0200
@@ -1,11 +1,9 @@
-Bayesian estimation, particularly using Markov chain Monte
-Carlo (MCMC), is an increasingly relevant approach to
-statistical estimation. However, few statistical software
-packages implement MCMC samplers, and they are non-trivial
- to code by hand. pymc is a python package that implements
-the Metropolis-Hastings algorithm as a python class, and is
-extremely flexible and applicable to a large suite of problems.
-pymc includes methods for summarizing output, plotting,
-goodness-of-fit and convergence diagnostics.
+Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC), is an
+increasingly relevant approach to statistical estimation. However, few
+statistical software packages implement MCMC samplers, and they are non-trivial
+to code by hand. pymc is a python package that implements the
+Metropolis-Hastings algorithm as a python class, and is extremely flexible and
+applicable to a large suite of problems. pymc includes methods for summarizing
+output, plotting, goodness-of-fit and convergence diagnostics.
-WWW: http://pypi.python.org/pypi/pymc/
+WWW: http://pypi.python.org/pypi/pymc/
diff -ruN /usr/ports/math/py-pymc/pkg-plist ./pkg-plist
--- /usr/ports/math/py-pymc/pkg-plist 2012-07-14 16:54:48.000000000 +0300
+++ ./pkg-plist 2013-11-14 12:27:27.886763032 +0200
@@ -1,3 +1,7 @@
+%%PYTHON_SITELIBDIR%%/pymc-2.3-py2.7.egg-info
+%%PYTHON_SITELIBDIR%%/pymc/CircularStochastic.py
+%%PYTHON_SITELIBDIR%%/pymc/CircularStochastic.pyc
+%%PYTHON_SITELIBDIR%%/pymc/CircularStochastic.pyo
%%PYTHON_SITELIBDIR%%/pymc/CommonDeterministics.py
%%PYTHON_SITELIBDIR%%/pymc/CommonDeterministics.pyc
%%PYTHON_SITELIBDIR%%/pymc/CommonDeterministics.pyo
@@ -24,6 +28,9 @@
%%PYTHON_SITELIBDIR%%/pymc/NormalApproximation.py
%%PYTHON_SITELIBDIR%%/pymc/NormalApproximation.pyc
%%PYTHON_SITELIBDIR%%/pymc/NormalApproximation.pyo
+%%PYTHON_SITELIBDIR%%/pymc/NumpyDeterministics.py
+%%PYTHON_SITELIBDIR%%/pymc/NumpyDeterministics.pyc
+%%PYTHON_SITELIBDIR%%/pymc/NumpyDeterministics.pyo
%%PYTHON_SITELIBDIR%%/pymc/PyMCObjects.py
%%PYTHON_SITELIBDIR%%/pymc/PyMCObjects.pyc
%%PYTHON_SITELIBDIR%%/pymc/PyMCObjects.pyo
@@ -36,6 +43,9 @@
%%PYTHON_SITELIBDIR%%/pymc/__init__.py
%%PYTHON_SITELIBDIR%%/pymc/__init__.pyc
%%PYTHON_SITELIBDIR%%/pymc/__init__.pyo
+%%PYTHON_SITELIBDIR%%/pymc/calc_utils.py
+%%PYTHON_SITELIBDIR%%/pymc/calc_utils.pyc
+%%PYTHON_SITELIBDIR%%/pymc/calc_utils.pyo
%%PYTHON_SITELIBDIR%%/pymc/database/__init__.py
%%PYTHON_SITELIBDIR%%/pymc/database/__init__.pyc
%%PYTHON_SITELIBDIR%%/pymc/database/__init__.pyo
@@ -45,9 +55,9 @@
%%PYTHON_SITELIBDIR%%/pymc/database/hdf5.py
%%PYTHON_SITELIBDIR%%/pymc/database/hdf5.pyc
%%PYTHON_SITELIBDIR%%/pymc/database/hdf5.pyo
-%%PYTHON_SITELIBDIR%%/pymc/database/mysql.py
-%%PYTHON_SITELIBDIR%%/pymc/database/mysql.pyc
-%%PYTHON_SITELIBDIR%%/pymc/database/mysql.pyo
+%%PYTHON_SITELIBDIR%%/pymc/database/hdf5ea.py
+%%PYTHON_SITELIBDIR%%/pymc/database/hdf5ea.pyc
+%%PYTHON_SITELIBDIR%%/pymc/database/hdf5ea.pyo
%%PYTHON_SITELIBDIR%%/pymc/database/no_trace.py
%%PYTHON_SITELIBDIR%%/pymc/database/no_trace.pyc
%%PYTHON_SITELIBDIR%%/pymc/database/no_trace.pyo
@@ -63,6 +73,9 @@
%%PYTHON_SITELIBDIR%%/pymc/database/txt.py
%%PYTHON_SITELIBDIR%%/pymc/database/txt.pyc
%%PYTHON_SITELIBDIR%%/pymc/database/txt.pyo
+%%PYTHON_SITELIBDIR%%/pymc/datatypes.py
+%%PYTHON_SITELIBDIR%%/pymc/datatypes.pyc
+%%PYTHON_SITELIBDIR%%/pymc/datatypes.pyo
%%PYTHON_SITELIBDIR%%/pymc/decorators.py
%%PYTHON_SITELIBDIR%%/pymc/decorators.pyc
%%PYTHON_SITELIBDIR%%/pymc/decorators.pyo
@@ -72,39 +85,72 @@
%%PYTHON_SITELIBDIR%%/pymc/distributions.py
%%PYTHON_SITELIBDIR%%/pymc/distributions.pyc
%%PYTHON_SITELIBDIR%%/pymc/distributions.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/DisasterModel.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/DisasterModel.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/DisasterModel.pyo
%%PYTHON_SITELIBDIR%%/pymc/examples/__init__.py
%%PYTHON_SITELIBDIR%%/pymc/examples/__init__.pyc
%%PYTHON_SITELIBDIR%%/pymc/examples/__init__.pyo
%%PYTHON_SITELIBDIR%%/pymc/examples/custom_step.py
%%PYTHON_SITELIBDIR%%/pymc/examples/custom_step.pyc
%%PYTHON_SITELIBDIR%%/pymc/examples/custom_step.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_gof.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_gof.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_gof.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_linear.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_linear.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_linear.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_missing.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_missing.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_missing.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_null.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_null.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/disaster_model_null.pyo
%%PYTHON_SITELIBDIR%%/pymc/examples/gelman_bioassay.py
%%PYTHON_SITELIBDIR%%/pymc/examples/gelman_bioassay.pyc
%%PYTHON_SITELIBDIR%%/pymc/examples/gelman_bioassay.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_gof.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_gof.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_gof.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_missing.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_missing.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_1_missing.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_2.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_2.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_2.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_3.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_3.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/model_3.pyo
-%%PYTHON_SITELIBDIR%%/pymc/examples/straightlinefit.py
-%%PYTHON_SITELIBDIR%%/pymc/examples/straightlinefit.pyc
-%%PYTHON_SITELIBDIR%%/pymc/examples/straightlinefit.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/MCMC.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/MCMC.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/MCMC.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/PyMCmodel.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/PyMCmodel.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/PyMCmodel.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/__init__.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/__init__.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/__init__.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/basiscov.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/basiscov.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/basiscov.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/cov.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/cov.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/cov.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/covparams.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/covparams.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/covparams.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mean.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mean.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mean.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mesh_choice.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mesh_choice.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/mesh_choice.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/observation.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/observation.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/observation.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/realizations.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/realizations.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/gp/realizations.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma_data.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma_data.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/melanoma_data.pyo
%%PYTHON_SITELIBDIR%%/pymc/examples/weibull_fit.py
%%PYTHON_SITELIBDIR%%/pymc/examples/weibull_fit.pyc
%%PYTHON_SITELIBDIR%%/pymc/examples/weibull_fit.pyo
+%%PYTHON_SITELIBDIR%%/pymc/examples/zip.py
+%%PYTHON_SITELIBDIR%%/pymc/examples/zip.pyc
+%%PYTHON_SITELIBDIR%%/pymc/examples/zip.pyo
%%PYTHON_SITELIBDIR%%/pymc/flib.so
%%PYTHON_SITELIBDIR%%/pymc/gp/BasisCovariance.py
%%PYTHON_SITELIBDIR%%/pymc/gp/BasisCovariance.pyc
@@ -124,9 +170,6 @@
%%PYTHON_SITELIBDIR%%/pymc/gp/NearlyFullRankCovariance.py
%%PYTHON_SITELIBDIR%%/pymc/gp/NearlyFullRankCovariance.pyc
%%PYTHON_SITELIBDIR%%/pymc/gp/NearlyFullRankCovariance.pyo
-%%PYTHON_SITELIBDIR%%/pymc/gp/PyMC_objects.py
-%%PYTHON_SITELIBDIR%%/pymc/gp/PyMC_objects.pyc
-%%PYTHON_SITELIBDIR%%/pymc/gp/PyMC_objects.pyo
%%PYTHON_SITELIBDIR%%/pymc/gp/Realization.py
%%PYTHON_SITELIBDIR%%/pymc/gp/Realization.pyc
%%PYTHON_SITELIBDIR%%/pymc/gp/Realization.pyo
@@ -147,38 +190,44 @@
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/cov_utils.pyo
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/distances.so
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/isotropic_cov_funs.so
+%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/nsmatern.py
+%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/nsmatern.pyc
+%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/nsmatern.pyo
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/wrapped_distances.py
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/wrapped_distances.pyc
%%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs/wrapped_distances.pyo
+%%PYTHON_SITELIBDIR%%/pymc/gp/gp_submodel.py
+%%PYTHON_SITELIBDIR%%/pymc/gp/gp_submodel.pyc
+%%PYTHON_SITELIBDIR%%/pymc/gp/gp_submodel.pyo
%%PYTHON_SITELIBDIR%%/pymc/gp/gpplots.py
%%PYTHON_SITELIBDIR%%/pymc/gp/gpplots.pyc
%%PYTHON_SITELIBDIR%%/pymc/gp/gpplots.pyo
%%PYTHON_SITELIBDIR%%/pymc/gp/incomplete_chol.so
%%PYTHON_SITELIBDIR%%/pymc/gp/linalg_utils.so
+%%PYTHON_SITELIBDIR%%/pymc/gp/step_methods.py
+%%PYTHON_SITELIBDIR%%/pymc/gp/step_methods.pyc
+%%PYTHON_SITELIBDIR%%/pymc/gp/step_methods.pyo
%%PYTHON_SITELIBDIR%%/pymc/graph.py
%%PYTHON_SITELIBDIR%%/pymc/graph.pyc
%%PYTHON_SITELIBDIR%%/pymc/graph.pyo
+%%PYTHON_SITELIBDIR%%/pymc/progressbar.py
+%%PYTHON_SITELIBDIR%%/pymc/progressbar.pyc
+%%PYTHON_SITELIBDIR%%/pymc/progressbar.pyo
+%%PYTHON_SITELIBDIR%%/pymc/six.py
+%%PYTHON_SITELIBDIR%%/pymc/six.pyc
+%%PYTHON_SITELIBDIR%%/pymc/six.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/__init__.py
%%PYTHON_SITELIBDIR%%/pymc/tests/__init__.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/__init__.pyo
-%%PYTHON_SITELIBDIR%%/pymc/tests/check_dependencies.py
-%%PYTHON_SITELIBDIR%%/pymc/tests/check_dependencies.pyc
-%%PYTHON_SITELIBDIR%%/pymc/tests/check_dependencies.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/objectmodel.py
%%PYTHON_SITELIBDIR%%/pymc/tests/objectmodel.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/objectmodel.pyo
-%%PYTHON_SITELIBDIR%%/pymc/tests/screen.py
-%%PYTHON_SITELIBDIR%%/pymc/tests/screen.pyc
-%%PYTHON_SITELIBDIR%%/pymc/tests/screen.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/test_AM.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_AM.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_AM.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/test_GP_MCMC.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_GP_MCMC.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_GP_MCMC.pyo
-%%PYTHON_SITELIBDIR%%/pymc/tests/test_LazyFunction.py
-%%PYTHON_SITELIBDIR%%/pymc/tests/test_LazyFunction.pyc
-%%PYTHON_SITELIBDIR%%/pymc/tests/test_LazyFunction.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/test_MCMCSampler.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_MCMCSampler.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_MCMCSampler.pyo
@@ -206,6 +255,9 @@
%%PYTHON_SITELIBDIR%%/pymc/tests/test_distributions.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_distributions.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_distributions.pyo
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_gradients.py
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_gradients.pyc
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_gradients.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/test_graph.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_graph.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_graph.pyo
@@ -218,6 +270,9 @@
%%PYTHON_SITELIBDIR%%/pymc/tests/test_mean.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_mean.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_mean.pyo
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_missing.py
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_missing.pyc
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_missing.pyo
%%PYTHON_SITELIBDIR%%/pymc/tests/test_norm_approx.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_norm_approx.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_norm_approx.pyo
@@ -227,12 +282,36 @@
%%PYTHON_SITELIBDIR%%/pymc/tests/test_realization.py
%%PYTHON_SITELIBDIR%%/pymc/tests/test_realization.pyc
%%PYTHON_SITELIBDIR%%/pymc/tests/test_realization.pyo
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_special_methods.py
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_special_methods.pyc
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_special_methods.pyo
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_utils.py
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_utils.pyc
+%%PYTHON_SITELIBDIR%%/pymc/tests/test_utils.pyo
+%%PYTHON_SITELIBDIR%%/pymc/threadpool.py
+%%PYTHON_SITELIBDIR%%/pymc/threadpool.pyc
+%%PYTHON_SITELIBDIR%%/pymc/threadpool.pyo
%%PYTHON_SITELIBDIR%%/pymc/utils.py
%%PYTHON_SITELIBDIR%%/pymc/utils.pyc
%%PYTHON_SITELIBDIR%%/pymc/utils.pyo
-@dirrm %%PYTHON_SITELIBDIR%%/pymc/tests
-@dirrm %%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs
-@dirrm %%PYTHON_SITELIBDIR%%/pymc/gp
-@dirrm %%PYTHON_SITELIBDIR%%/pymc/examples
-@dirrm %%PYTHON_SITELIBDIR%%/pymc/database
-@dirrm %%PYTHON_SITELIBDIR%%/pymc
+%%PORTDOCS%%%%DOCSDIR%%/INSTALL.rst
+%%PORTDOCS%%%%DOCSDIR%%/README.rst
+%%PORTDOCS%%%%DOCSDIR%%/conclusion.rst
+%%PORTDOCS%%%%DOCSDIR%%/database.rst
+%%PORTDOCS%%%%DOCSDIR%%/distributions.rst
+%%PORTDOCS%%%%DOCSDIR%%/extending.rst
+%%PORTDOCS%%%%DOCSDIR%%/index.rst
+%%PORTDOCS%%%%DOCSDIR%%/modelbuilding.rst
+%%PORTDOCS%%%%DOCSDIR%%/modelchecking.rst
+%%PORTDOCS%%%%DOCSDIR%%/modelfitting.rst
+%%PORTDOCS%%%%DOCSDIR%%/references.rst
+%%PORTDOCS%%%%DOCSDIR%%/theory.rst
+%%PORTDOCS%%%%DOCSDIR%%/tutorial.rst
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/tests
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/gp/cov_funs
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/gp
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/examples/gp
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/examples
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc/database
+@dirrmtry %%PYTHON_SITELIBDIR%%/pymc
+%%PORTDOCS%%@dirrmtry %%DOCSDIR%%
--- py27-pymc-2.3,1.patch ends here ---
>Release-Note:
>Audit-Trail:
>Unformatted:
Want to link to this message? Use this URL: <https://mail-archive.FreeBSD.org/cgi/mid.cgi?594357577.enqueue>