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- 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.
This commit is contained in:
Martin Wilke
parent
9abb4f251b
commit
2bca5ef0e9
Notes:
svn2git
2021-03-31 03:12:20 +00:00
svn path=/head/; revision=490159
6 changed files with 124 additions and 0 deletions
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@ -721,6 +721,7 @@
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SUBDIR += py-mpmath
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SUBDIR += py-munkres
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SUBDIR += py-networkx
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SUBDIR += py-networkx1
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SUBDIR += py-numarray
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SUBDIR += py-numeric
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SUBDIR += py-numexpr
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@ -23,6 +23,8 @@ USE_PYTHON= autoplist concurrent distutils
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SHEBANG_GLOB= *.py
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NO_ARCH= yes
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CONFLICTS_INSTALL= ${PYTHON_PKGNAMEPREFIX}networkx1
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PLIST_SUB+= PYTHON_MAJOR_VER=${PYTHON_MAJOR_VER}
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OPTIONS_DEFINE= EXAMPLES YAML
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57
math/py-networkx1/Makefile
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57
math/py-networkx1/Makefile
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@ -0,0 +1,57 @@
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# Created by: dikshie
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# $FreeBSD$
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PORTNAME= networkx
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PORTVERSION= 1.11
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CATEGORIES= math python
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MASTER_SITES= http://networkx.lanl.gov/download/networkx/ \
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CHEESESHOP
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PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
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PKGNAMESUFFIX= 1
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MAINTAINER= freebsd_ports@k-worx.org
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COMMENT= Tools for complex networks / Backported version
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LICENSE= BSD3CLAUSE
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RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}decorator>=3.4.0:devel/py-decorator@${PY_FLAVOR}
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USES= python shebangfix
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USE_PYTHON= autoplist concurrent distutils
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NO_ARCH= yes
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PORTSCOUT= limit:^1\.
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PORTEXAMPLES= *
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SHEBANG_FILES= examples/graph/atlas.py \
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examples/multigraph/chess_masters.py \
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networkx/generators/tests/test_random_graphs.py
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CONFLICTS_INSTALL= ${PYTHON_PKGNAMEPREFIX}py-networkx
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OPTIONS_DEFINE= EXAMPLES YAML
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OPTIONS_GROUP= MATRIX RENDER
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OPTIONS_GROUP_MATRIX= NUMPY SCIPY
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OPTIONS_GROUP_RENDER= GRAPHVIZ MPL
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OPTIONS_DEFAULT= GRAPHVIZ MPL NUMPY SCIPY YAML
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GRAPHVIZ_DESC= Additional graph layout and rendering algorithms
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GRAPHVIZ_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}pygraphviz>=1.2:graphics/py-pygraphviz@${PY_FLAVOR}
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MPL_DESC= Flexible graph rendering
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MPL_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}matplotlib>=1.4.0:math/py-matplotlib@${PY_FLAVOR}
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NUMPY_DESC= Matrix representation of graphs
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NUMPY_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}numpy>=1.9.2,1:math/py-numpy@${PY_FLAVOR}
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SCIPY_DESC= Sparse matrix representation of graphs
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SCIPY_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}scipy>=0.15.1:science/py-scipy@${PY_FLAVOR} \
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${PYTHON_PKGNAMEPREFIX}scikit-sparse>=0.2:science/py-scikit-sparse@${PY_FLAVOR}
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YAML_DESC= Reading and writing YAML files
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YAML_RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}yaml>=0:devel/py-yaml@${PY_FLAVOR}
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post-install:
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${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
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cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR}
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.include <bsd.port.mk>
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3
math/py-networkx1/distinfo
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3
math/py-networkx1/distinfo
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@ -0,0 +1,3 @@
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TIMESTAMP = 1539454780
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SHA256 (networkx-1.11.tar.gz) = 0d0e70e10dfb47601cbb3425a00e03e2a2e97477be6f80638fef91d54dd1e4b8
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SIZE (networkx-1.11.tar.gz) = 1315737
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38
math/py-networkx1/files/patch-setup.py
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38
math/py-networkx1/files/patch-setup.py
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@ -0,0 +1,38 @@
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--- setup.py.orig 2015-12-26 17:06:48 UTC
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+++ setup.py
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@@ -59,27 +59,6 @@ packages=["networkx",
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"networkx.testing",
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"networkx.utils"]
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-docdirbase = 'share/doc/networkx-%s' % version
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-# add basic documentation
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-data = [(docdirbase, glob("*.txt"))]
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-# add examples
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-for d in ['advanced',
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- 'algorithms',
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- 'basic',
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- '3d_drawing',
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- 'drawing',
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- 'graph',
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- 'multigraph',
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- 'pygraphviz',
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- 'readwrite']:
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- dd = os.path.join(docdirbase,'examples', d)
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- pp = os.path.join('examples', d)
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- data.append((dd, glob(os.path.join(pp ,"*.py"))))
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- data.append((dd, glob(os.path.join(pp ,"*.bz2"))))
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- data.append((dd, glob(os.path.join(pp ,"*.gz"))))
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- data.append((dd, glob(os.path.join(pp ,"*.mbox"))))
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- data.append((dd, glob(os.path.join(pp ,"*.edgelist"))))
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-
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# add the tests
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package_data = {
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'networkx': ['tests/*.py'],
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@@ -131,7 +110,6 @@ if __name__ == "__main__":
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download_url = release.download_url,
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classifiers = release.classifiers,
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packages = packages,
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- data_files = data,
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package_data = package_data,
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install_requires = install_requires,
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test_suite = 'nose.collector',
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23
math/py-networkx1/pkg-descr
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23
math/py-networkx1/pkg-descr
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@ -0,0 +1,23 @@
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NetworkX (NX) is a Python package for the creation, manipulation, and
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study of the structure, dynamics, and functions of complex networks.
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Features:
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* Includes standard graph-theoretic and statistical physics functions
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* Easy exchange of network algorithms between applications, disciplines,
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and platforms
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* Includes many classic graphs and synthetic networks
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* Nodes and edges can be "anything" (e.g. time-series, text, images,
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XML records)
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* Exploits existing code from high-quality legacy software in C, C++,
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Fortran, etc.
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* Open source (encourages community input)
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* Unit-tested
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Additional benefits due to Python:
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* Allows fast prototyping of new algorithms
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* Easy to teach
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* Multi-platform
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* Allows easy access to almost any database
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Note: This is a backported version of the 1.x branch.
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WWW: https://networkx.github.io/
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