Attachment #201069 for bug #232240




# Created by: dikshie
# $FreeBSD$

PORTNAME=	networkx
PORTVERSION=	1.11
CATEGORIES=	math python
MASTER_SITES=	http://networkx.lanl.gov/download/networkx/ \
		CHEESESHOP
PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
PKGNAMESUFFIX=	1

MAINTAINER=	freebsd_ports@k-worx.org
COMMENT=	Tools for complex networks / Backported version

LICENSE=	BSD3CLAUSE

RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}decorator>=3.4.0:devel/py-decorator@${PY_FLAVOR}

USES=		python shebangfix
USE_PYTHON=	autoplist concurrent distutils
SHEBANG_FILES=	examples/graph/atlas.py \
		examples/multigraph/chess_masters.py \
		networkx/generators/tests/test_random_graphs.py

OPTIONS_DEFINE=	EXAMPLES YAML
OPTIONS_GROUP=	MATRIX RENDER
OPTIONS_GROUP_MATRIX=	NUMPY SCIPY
OPTIONS_GROUP_RENDER=	GRAPHVIZ MPL
OPTIONS_DEFAULT=	GRAPHVIZ MPL NUMPY SCIPY YAML

GRAPHVIZ_DESC=		Additional graph layout and rendering algorithms
GRAPHVIZ_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pygraphviz>=1.2:graphics/py-pygraphviz@${PY_FLAVOR}

MPL_DESC=		Flexible graph rendering
MPL_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}matplotlib>=1.4.0:math/py-matplotlib@${PY_FLAVOR}

NUMPY_DESC=		Matrix representation of graphs
NUMPY_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}numpy>=1.9.2,1:math/py-numpy@${PY_FLAVOR}

SCIPY_DESC=		Sparse matrix representation of graphs
SCIPY_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}scipy>=0.15.1:science/py-scipy@${PY_FLAVOR} \
			${PYTHON_PKGNAMEPREFIX}scikit-sparse>=0.2:science/py-scikit-sparse@${PY_FLAVOR}

YAML_DESC=		Reading and writing YAML files
YAML_RUN_DEPENDS=	${PYTHON_PKGNAMEPREFIX}yaml>=0:devel/py-yaml@${PY_FLAVOR}

PORTEXAMPLES=	*
NO_ARCH=	yes

PORTSCOUT=	limit:^5\.

post-install:
	${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
	cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR}

.include <bsd.port.mk>

Line 0 Link Here

(-)py-networkx1/distinfo (+3 lines)
	1	TIMESTAMP = 1539454780
	2	SHA256 (networkx-1.11.tar.gz) = 0d0e70e10dfb47601cbb3425a00e03e2a2e97477be6f80638fef91d54dd1e4b8
	3	SIZE (networkx-1.11.tar.gz) = 1315737




--- setup.py.orig	2015-11-15 23:06:39 UTC
+++ setup.py
@@ -59,27 +59,6 @@ packages=["networkx",
           "networkx.testing",
           "networkx.utils"]
 
-docdirbase  = 'share/doc/networkx-%s' % version
-# add basic documentation
-data = [(docdirbase, glob("*.txt"))]
-# add examples
-for d in ['advanced',
-          'algorithms',
-          'basic',
-          '3d_drawing',
-          'drawing',
-          'graph',
-          'multigraph',
-          'pygraphviz',
-          'readwrite']:
-    dd = os.path.join(docdirbase,'examples', d)
-    pp = os.path.join('examples', d)
-    data.append((dd, glob(os.path.join(pp ,"*.py"))))
-    data.append((dd, glob(os.path.join(pp ,"*.bz2"))))
-    data.append((dd, glob(os.path.join(pp ,"*.gz"))))
-    data.append((dd, glob(os.path.join(pp ,"*.mbox"))))
-    data.append((dd, glob(os.path.join(pp ,"*.edgelist"))))
-
 # add the tests
 package_data     = {
     'networkx': ['tests/*.py'],
@@ -131,7 +110,6 @@ if __name__ == "__main__":
         download_url     = release.download_url,
         classifiers      = release.classifiers,
         packages         = packages,
-        data_files       = data,
         package_data     = package_data,
         install_requires = install_requires,
         test_suite       = 'nose.collector',




NetworkX (NX) is a Python package for the creation, manipulation, and
study of the structure, dynamics, and functions of complex networks.
Features:
* Includes standard graph-theoretic and statistical physics functions
* Easy exchange of network algorithms between applications, disciplines,
  and platforms
* Includes many classic graphs and synthetic networks
* Nodes and edges can be "anything" (e.g. time-series, text, images,
  XML records)
* Exploits existing code from high-quality legacy software in C, C++,
  Fortran, etc.
* Open source (encourages community input)
* Unit-tested

Additional benefits due to Python:
* Allows fast prototyping of new algorithms
* Easy to teach
* Multi-platform
* Allows easy access to almost any database

Note: This is a backported version of the 1.x branch.

WWW: https://networkx.github.io/

Return to bug 232240

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(-)py-networkx1/Makefile (+56 lines)
	1	# Created by: dikshie
	2	# $FreeBSD$
	3
	4	PORTNAME= networkx
	5	PORTVERSION= 1.11
	6	CATEGORIES= math python
	7	MASTER_SITES= http://networkx.lanl.gov/download/networkx/ \
	8	CHEESESHOP
	9	PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
	10	PKGNAMESUFFIX= 1
	11
	12	MAINTAINER= freebsd_ports@k-worx.org
	13	COMMENT= Tools for complex networks / Backported version
	14
	15	LICENSE= BSD3CLAUSE
	16
	17	RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}decorator>=3.4.0:devel/py-decorator@${PY_FLAVOR}
	18
	19	USES= python shebangfix
	20	USE_PYTHON= autoplist concurrent distutils
	21	SHEBANG_FILES= examples/graph/atlas.py \
	22	examples/multigraph/chess_masters.py \
	23	networkx/generators/tests/test_random_graphs.py
	24
	25	OPTIONS_DEFINE= EXAMPLES YAML
	26	OPTIONS_GROUP= MATRIX RENDER
	27	OPTIONS_GROUP_MATRIX= NUMPY SCIPY
	28	OPTIONS_GROUP_RENDER= GRAPHVIZ MPL
	29	OPTIONS_DEFAULT= GRAPHVIZ MPL NUMPY SCIPY YAML
	30
	31	GRAPHVIZ_DESC= Additional graph layout and rendering algorithms
	32	GRAPHVIZ_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pygraphviz>=1.2:graphics/py-pygraphviz@${PY_FLAVOR}
	33
	34	MPL_DESC= Flexible graph rendering
	35	MPL_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}matplotlib>=1.4.0:math/py-matplotlib@${PY_FLAVOR}
	36
	37	NUMPY_DESC= Matrix representation of graphs
	38	NUMPY_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.9.2,1:math/py-numpy@${PY_FLAVOR}
	39
	40	SCIPY_DESC= Sparse matrix representation of graphs
	41	SCIPY_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}scipy>=0.15.1:science/py-scipy@${PY_FLAVOR} \
	42	${PYTHON_PKGNAMEPREFIX}scikit-sparse>=0.2:science/py-scikit-sparse@${PY_FLAVOR}
	43
	44	YAML_DESC= Reading and writing YAML files
	45	YAML_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}yaml>=0:devel/py-yaml@${PY_FLAVOR}
	46
	47	PORTEXAMPLES= *
	48	NO_ARCH= yes
	49
	50	PORTSCOUT= limit:^5\.
	51
	52	post-install:
	53	${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
	54	cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR}
	55
	56	.include <bsd.port.mk>

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(-)py-networkx1/files/patch-setup.py (+38 lines)
	1	--- setup.py.orig 2015-11-15 23:06:39 UTC
	2	+++ setup.py
	3	@@ -59,27 +59,6 @@ packages=["networkx",
	4	"networkx.testing",
	5	"networkx.utils"]
	6
	7	-docdirbase = 'share/doc/networkx-%s' % version
	8	-# add basic documentation
	9	-data = [(docdirbase, glob("*.txt"))]
	10	-# add examples
	11	-for d in ['advanced',
	12	- 'algorithms',
	13	- 'basic',
	14	- '3d_drawing',
	15	- 'drawing',
	16	- 'graph',
	17	- 'multigraph',
	18	- 'pygraphviz',
	19	- 'readwrite']:
	20	- dd = os.path.join(docdirbase,'examples', d)
	21	- pp = os.path.join('examples', d)
	22	- data.append((dd, glob(os.path.join(pp ,"*.py"))))
	23	- data.append((dd, glob(os.path.join(pp ,"*.bz2"))))
	24	- data.append((dd, glob(os.path.join(pp ,"*.gz"))))
	25	- data.append((dd, glob(os.path.join(pp ,"*.mbox"))))
	26	- data.append((dd, glob(os.path.join(pp ,"*.edgelist"))))
	27	-
	28	# add the tests
	29	package_data = {
	30	'networkx': ['tests/*.py'],
	31	@@ -131,7 +110,6 @@ if __name__ == "__main__":
	32	download_url = release.download_url,
	33	classifiers = release.classifiers,
	34	packages = packages,
	35	- data_files = data,
	36	package_data = package_data,
	37	install_requires = install_requires,
	38	test_suite = 'nose.collector',

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(-)py-networkx1/pkg-descr (+23 lines)
	1	NetworkX (NX) is a Python package for the creation, manipulation, and
	2	study of the structure, dynamics, and functions of complex networks.
	3	Features:
	4	* Includes standard graph-theoretic and statistical physics functions
	5	* Easy exchange of network algorithms between applications, disciplines,
	6	and platforms
	7	* Includes many classic graphs and synthetic networks
	8	* Nodes and edges can be "anything" (e.g. time-series, text, images,
	9	XML records)
	10	* Exploits existing code from high-quality legacy software in C, C++,
	11	Fortran, etc.
	12	* Open source (encourages community input)
	13	* Unit-tested
	14
	15	Additional benefits due to Python:
	16	* Allows fast prototyping of new algorithms
	17	* Easy to teach
	18	* Multi-platform
	19	* Allows easy access to almost any database
	20
	21	Note: This is a backported version of the 1.x branch.
	22
	23	WWW: https://networkx.github.io/