- Copy math/py-networkx to math/py-networkx1 and applies modifications to

backport it to the latest version of the 1.x branch -> 1.11
- Adds CONFLICTS_INSTALL to math/py-networkx (no bump of PORTVERSION) and math/py-networkx1
- math/py-networkx1 is required by the package devel/py-taskflow that is not compatible with math/py-network

PR:		232240
Submitted by:	freebsd_ports@k-worx.org
Sponsored by:	iXsystems Inc.

math/Makefile

@@ -721,6 +721,7 @@
     SUBDIR += py-mpmath
     SUBDIR += py-munkres
     SUBDIR += py-networkx
+	SUBDIR += py-networkx1
     SUBDIR += py-numarray
     SUBDIR += py-numeric
     SUBDIR += py-numexpr

math/py-networkx/Makefile

@@ -23,6 +23,8 @@ USE_PYTHON=	autoplist concurrent distutils
 SHEBANG_GLOB=	*.py
 NO_ARCH=	yes
 
+CONFLICTS_INSTALL=	${PYTHON_PKGNAMEPREFIX}networkx1
+
 PLIST_SUB+=	PYTHON_MAJOR_VER=${PYTHON_MAJOR_VER}
 
 OPTIONS_DEFINE=	EXAMPLES YAML

math/py-networkx1/Makefile

@@ -0,0 +1,57 @@
+# 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
+
+NO_ARCH=	yes
+PORTSCOUT=	limit:^1\.
+PORTEXAMPLES=	*
+SHEBANG_FILES=	examples/graph/atlas.py \
+		examples/multigraph/chess_masters.py \
+		networkx/generators/tests/test_random_graphs.py
+
+CONFLICTS_INSTALL=	${PYTHON_PKGNAMEPREFIX}py-networkx
+
+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}
+
+post-install:
+	${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
+	cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR}
+
+.include <bsd.port.mk>

math/py-networkx1/distinfo

@@ -0,0 +1,3 @@
+TIMESTAMP = 1539454780
+SHA256 (networkx-1.11.tar.gz) = 0d0e70e10dfb47601cbb3425a00e03e2a2e97477be6f80638fef91d54dd1e4b8
+SIZE (networkx-1.11.tar.gz) = 1315737

math/py-networkx1/files/patch-setup.py

@@ -0,0 +1,38 @@
+--- setup.py.orig	2015-12-26 17:06:48 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',

math/py-networkx1/pkg-descr

@@ -0,0 +1,23 @@
+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/