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guix/gnu/packages/graph.scm
Greg Hogan c0fc7d2a0a
gnu: python-leidenalg: Update to 0.10.2. 
* gnu/packages/graph.scm (python-leidenalg): Update to 0.10.2.
[inputs]: Add libleidenalg.
[description]: Update to account for removal of C++ implementation.

Change-Id: Ia00e819eda4c03f25e54dc72483c7bcaf2ab396f
2025-05-13 16:35:43 +00:00

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;;; GNU Guix --- Functional package management for GNU
;;; Copyright © 2017-2025 Ricardo Wurmus <rekado@elephly.net>
;;; Copyright © 2018 Joshua Sierles, Nextjournal <joshua@nextjournal.com>
;;; Copyright © 2018, 2020, 2022 Tobias Geerinckx-Rice <me@tobias.gr>
;;; Copyright © 2019, 2021, 2022, 2024 Efraim Flashner <efraim@flashner.co.il>
;;; Copyright © 2019 Andreas Enge <andreas@enge.fr>
;;; Copyright © 2020 Alexander Krotov <krotov@iitp.ru>
;;; Copyright © 2020 Pierre Langlois <pierre.langlos@gmx.com>
;;; Copyright © 2021, 2023, 2025 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2021 Alexandre Hannud Abdo <abdo@member.fsf.org>
;;; Copyright © 2021, 2022, 2023 Maxim Cournoyer <maxim.cournoyer@gmail.com>
;;; Copyright © 2022 Marius Bakke <marius@gnu.org>
;;; Copyright © 2023 David Elsing <david.elsing@posteo.net>
;;;
;;; This file is part of GNU Guix.
;;;
;;; GNU Guix is free software; you can redistribute it and/or modify it
;;; under the terms of the GNU General Public License as published by
;;; the Free Software Foundation; either version 3 of the License, or (at
;;; your option) any later version.
;;;
;;; GNU Guix is distributed in the hope that it will be useful, but
;;; WITHOUT ANY WARRANTY; without even the implied warranty of
;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
;;; GNU General Public License for more details.
;;;
;;; You should have received a copy of the GNU General Public License
;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
(define-module (gnu packages graph)
#:use-module (guix download)
#:use-module (guix gexp)
#:use-module (guix git-download)
#:use-module (guix packages)
#:use-module (guix utils)
#:use-module (guix build-system cmake)
#:use-module (guix build-system gnu)
#:use-module (guix build-system pyproject)
#:use-module (guix build-system python)
#:use-module (guix build-system r)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (gnu packages)
#:use-module (gnu packages autotools)
#:use-module (gnu packages base)
#:use-module (gnu packages bioconductor)
#:use-module (gnu packages bioinformatics)
#:use-module (gnu packages bison)
#:use-module (gnu packages boost)
#:use-module (gnu packages c)
#:use-module (gnu packages check)
#:use-module (gnu packages compression)
#:use-module (gnu packages cran)
#:use-module (gnu packages datastructures)
#:use-module (gnu packages docbook)
#:use-module (gnu packages flex)
#:use-module (gnu packages fontutils)
#:use-module (gnu packages gd)
#:use-module (gnu packages graphics)
#:use-module (gnu packages graphviz)
#:use-module (gnu packages gtk)
#:use-module (gnu packages image)
#:use-module (gnu packages linux)
#:use-module (gnu packages machine-learning)
#:use-module (gnu packages maths)
#:use-module (gnu packages mpi)
#:use-module (gnu packages multiprecision)
#:use-module (gnu packages ncurses)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages pretty-print)
#:use-module (gnu packages python)
#:use-module (gnu packages python-build)
#:use-module (gnu packages python-check)
#:use-module (gnu packages python-compression)
#:use-module (gnu packages python-science)
#:use-module (gnu packages python-web)
#:use-module (gnu packages python-xyz)
#:use-module (gnu packages statistics)
#:use-module (gnu packages swig)
#:use-module (gnu packages time)
#:use-module (gnu packages xml))
(define-public plfit
(package
(name "plfit")
(version "0.9.4")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/ntamas/plfit")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"042b60cnsz5wy27sz026xs0mnn9p58j46crgs78skncgkvzqyyc6"))))
(build-system cmake-build-system)
(arguments
'(#:configure-flags (list "-DBUILD_SHARED_LIBS=ON")))
(home-page "https://github.com/ntamas/plfit")
(synopsis "Tool for fitting power-law distributions to empirical data")
(description "The @command{plfit} command fits power-law distributions to
empirical (discrete or continuous) data, according to the method of Clauset,
Shalizi and Newman (@cite{Clauset A, Shalizi CR and Newman MEJ: Power-law
distributions in empirical data. SIAM Review 51, 661-703 (2009)}).")
(license license:gpl2+)))
(define-public igraph
(package
(name "igraph")
(version "0.10.15")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/igraph/igraph")
(commit version)))
(file-name (git-file-name name version))
(modules '((guix build utils)
(ice-9 ftw)
(srfi srfi-26)))
(snippet '(begin
(delete-file-recursively "vendor")
(delete-file-recursively "src/isomorphism/bliss")
(substitute* '("src/CMakeLists.txt"
"etc/cmake/benchmark_helpers.cmake")
;; Remove extraneous bundling related variables.
((".*_IS_VENDORED.*") "")
((".*add_sub.*isomorphism/bliss.*") "")
(("(.*TARGETS.*)bliss(.*)cxsparse_vendored(.*)pcg(.*)"
_ part1 part2 part3 part4)
(string-append part1 part2 part3 part4))
(("cxsparse_vendored") "cxsparse")
((" pcg ") " pcg_random "))
(substitute* "CMakeLists.txt"
(("add_sub.*vendor.*") ""))))
(sha256
(base32
"0z9jqvl65j4z6brrjlfyykba2bs10az6dx6m8g41snlfnx21a82d"))))
(build-system cmake-build-system)
(arguments
(list
#:configure-flags
#~(list "-DBUILD_SHARED_LIBS=ON"
;; Use the same integer width as suitesparse-cxsparse, which
;; uses int64_t in SuiteSparse v6.0.0 and later.
"-DIGRAPH_INTEGER_SIZE=64")
#:test-target "check"
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'version-file
(lambda _
(let ((port (open-file "IGRAPH_VERSION" "w")))
(display #$version port)
(close port))))
(add-after 'unpack 'patch-suitesparse
(lambda _
(substitute* '("src/core/sparsemat.c"
"include/igraph_sparsemat.h")
(("<cs/cs\\.h>") "<cs.h>")
(("cs_igraph") "cs_dl")
(("__BEGIN_DECLS.*" all)
(string-append all "\n#define CS_LONG\n")))))
(add-after 'unpack 'patch-pcg
(lambda _
(substitute* '("src/random/rng_pcg32.c"
"src/random/rng_pcg64.c")
(("#include \"pcg/(.*)\"" _ name)
(string-append "#include <" name ">")))))
(add-after 'unpack 'patch-bliss
(lambda _
(substitute* "src/isomorphism/bliss.cc"
(("#include \"bliss.*")
(string-append
"#include <bliss/graph.hh>\n"
"#include <bliss/digraph.hh>\n")))))
(add-after 'build 'build-doc
(lambda _
(invoke "cmake" "--build" "." "--target" "html")))
(add-after 'install 'install-doc
(lambda _
(copy-recursively
"doc/html"
(string-append #$output "/share/doc/"
#$name "-" #$version "/html")))))))
(native-inputs
(list bison
docbook-xml-4.3
docbook-xsl
flex
pcg-c
pkg-config
;; For the HTML documentation.
python
source-highlight
xmlto))
(inputs
(list arpack-ng
bliss
glpk
;lapack
openblas
plfit
suitesparse-cxsparse))
;; libxml2 is in the 'Requires.private' of igraph.pc.
(propagated-inputs (list libxml2))
(home-page "https://igraph.org")
(synopsis "Network analysis and visualization")
(description
"This package provides a library for the analysis of networks and graphs.
It can handle large graphs very well and provides functions for generating
random and regular graphs, graph visualization, centrality methods and much
more.")
(license license:gpl2+)))
;; This is not really for r-rigraphlib; it is rather to replace the need for
;; r-rigraphlib, which is merely repackaging igraph as a static library for
;; use with R packages.
(define-public igraph-for-r-rigraphlib
(package
(inherit igraph)
(name "igraph")
(version "0.10.15")
(source
(origin
(inherit (package-source igraph))
(patches '())
(method git-fetch)
(uri (git-reference
(url "https://github.com/igraph/igraph")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"0z9jqvl65j4z6brrjlfyykba2bs10az6dx6m8g41snlfnx21a82d"))))))
(define-public python-igraph
(package
(inherit igraph)
(name "python-igraph")
(version "0.11.8")
(source (origin
(method git-fetch)
;; The PyPI archive lacks tests.
(uri (git-reference
(url "https://github.com/igraph/python-igraph")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"1c73nypzm2apqqwzqxxhbh692h4ri2x8q4i8f7q2kwczz156v19k"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'specify-libigraph-location
(lambda _
(let ((igraph #$(this-package-input "igraph")))
(substitute* "setup.py"
(("(LIBIGRAPH_FALLBACK_INCLUDE_DIRS = ).*" _ var)
(string-append
var (format #f "[~s]~%"
(string-append igraph "/include/igraph"))))
(("(LIBIGRAPH_FALLBACK_LIBRARY_DIRS = ).*" _ var)
(string-append
var (format #f "[~s]~%"
(string-append igraph "/lib")))))))))))
(inputs (list igraph))
(propagated-inputs
(list python-texttable))
(native-inputs
(list python-pytest
python-setuptools
python-wheel))
(home-page "https://igraph.org/python/")
(synopsis "Python bindings for the igraph network analysis library")))
(define-public r-rbiofabric
(let ((commit "666c2ae8b0a537c006592d067fac6285f71890ac")
(revision "1"))
(package
(name "r-rbiofabric")
(version (string-append "0.3-" revision "." (string-take commit 7)))
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/wjrl/RBioFabric")
(commit commit)))
(file-name (string-append name "-" version "-checkout"))
(sha256
(base32
"1yahqrcrqpbcywv73y9rlmyz8apdnp08afialibrr93ch0p06f8z"))))
(build-system r-build-system)
(propagated-inputs
(list r-igraph))
(home-page "http://www.biofabric.org/")
(synopsis "BioFabric network visualization")
(description "This package provides an implementation of the function
@code{bioFabric} for creating scalable network digrams where nodes are
represented by horizontal lines, and edges are represented by vertical
lines.")
(license license:expat))))
(define-public python-plotly
(package
(name "python-plotly")
(version "5.20.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/plotly/plotly.py")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0i22sv8p3kl84nkldbv1253kld85rbwp2pdxivxn64wwflfpqvx6"))))
(build-system python-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-before 'build 'skip-npm
;; npm is not packaged so build without it
(lambda _
(setenv "SKIP_NPM" "T")))
(add-after 'unpack 'fix-version
;; TODO: Versioneer in Guix gets its release version from the
;; parent directory, but the plotly package is located inside a
;; depth 3 subdirectory. Try to use versioneer if possible.
(lambda _
(substitute* "packages/python/plotly/setup.py"
(("version=versioneer.get_version\\(),")
(format #f "version=~s," #$version)))
(substitute* "packages/python/plotly/plotly/version.py"
(("__version__ = get_versions\\(\\)\\[\"version\"\\]")
(format #f "__version__ = ~s" #$version)))))
(add-after 'fix-version 'chdir
(lambda _
(chdir "packages/python/plotly")))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "pytest" "-x" "plotly/tests/test_core")
(invoke "pytest" "-x" "plotly/tests/test_io")
;; FIXME: Add optional dependencies and enable their tests.
;; (invoke "pytest" "-x" "plotly/tests/test_optional")
(invoke "pytest" "_plotly_utils/tests")))))))
(native-inputs
(list python-ipywidgets python-pytest python-xarray))
(propagated-inputs
(list python-ipython
python-pandas
python-pillow
python-requests
python-retrying
python-six
python-tenacity
python-statsmodels))
(home-page "https://plotly.com/python/")
(synopsis "Interactive plotting library for Python")
(description "Plotly's Python graphing library makes interactive,
publication-quality graphs online. Examples of how to make line plots, scatter
plots, area charts, bar charts, error bars, box plots, histograms, heatmaps,
subplots, multiple-axes, polar charts, and bubble charts.")
(license license:expat)))
(define-public python-plotly-2.4.1
(package (inherit python-plotly)
(version "2.4.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "plotly" version))
(sha256
(base32
"0s9gk2fl53x8wwncs3fwii1vzfngr0sskv15v3mpshqmrqfrk27m"))))
(native-inputs '())
(propagated-inputs
(list python-decorator
python-nbformat
python-pandas
python-pytz
python-requests
python-six))
(arguments
(list
#:tests? #false ;The tests are not distributed in the release
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'python-compatibility
(lambda _
(substitute* "plotly/grid_objs/grid_objs.py"
(("from collections import MutableSequence")
"from collections.abc import MutableSequence")))))))))
(define-public python-louvain
(package
(name "python-louvain")
(version "0.16")
(source
(origin
(method url-fetch)
(uri (pypi-uri "python-louvain" version))
(patches (search-patches "python-louvain-fix-test.patch"))
(sha256
(base32 "0sx53l555rwq0z7if8agirjgw4ddp8r9b949wwz8vlig03sjvfmp"))))
(build-system pyproject-build-system)
(native-inputs
(list python-setuptools python-wheel))
(propagated-inputs
(list python-networkx python-numpy))
(home-page "https://github.com/taynaud/python-louvain")
(synopsis "Louvain algorithm for community detection")
(description
"This package provides a pure Python implementation of the Louvain
algorithm for community detection in large networks.")
(license license:bsd-3)))
(define-public python-graphtools
(package
(name "python-graphtools")
(version "1.5.3")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/KrishnaswamyLab/graphtools")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1aaxhij4y5z2vvc34qnb5py6nw3ciz35a3z4lfr223f9kvfpqgak"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'patch-tests
(lambda _
;; The warning message has changed in numpy.
(substitute* "test/test_data.py"
(("\"A sparse matrix was passed, but.*array.\",")
"\"Sparse data was passed, but dense data is required. Use '.toarray()' to convert to a dense numpy array.\",")
;; anndata prints a warning that causes the test to fail.
(("import warnings" m)
(string-append m "\nwarnings.filterwarnings(\"ignore\")")))))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
;; Incompatibility with sklearn.
;; 'kNNLandmarkGraph' object has no attribute '_landmark_op'
(delete-file "test/test_landmark.py")
(setenv "LOKY_MAX_CPU_COUNT" "1")
(invoke "nose2" "-v")))))))
(propagated-inputs
(list python-deprecated
python-future
python-numpy
python-pygsp
python-scikit-learn
python-scipy
python-tasklogger))
(native-inputs
(list util-linux ;for lscpu
python-anndata
python-black
python-coverage
python-coveralls
python-nose
python-nose2
python-pandas
python-parameterized
python-igraph))
(home-page "https://github.com/KrishnaswamyLab/graphtools")
(synopsis "Tools for building and manipulating graphs in Python")
(description "This package provides tools for building and manipulating
graphs in Python.")
(license license:gpl3)))
(define-public python-louvain-igraph
(package
(name "python-louvain-igraph")
(version "0.8.2")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/vtraag/louvain-igraph")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"1aab6rnsnssi6wib939zy4vdzz3s2gcwwingn2dfjrijk05zjapv"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'find-igraph
(lambda _
(setenv "SETUPTOOLS_SCM_PRETEND_VERSION" #$version)
(substitute* "setup.py"
(("/usr/include/igraph")
(string-append #$(this-package-input "igraph")
"/include/igraph"))))))))
(propagated-inputs (list python-igraph))
(inputs (list igraph))
(native-inputs
(list python-ddt
python-setuptools
python-setuptools-scm
python-wheel
pkg-config))
(home-page "https://github.com/vtraag/louvain-igraph")
(synopsis "Implementation of the Louvain algorithm")
(description "This package implements the Louvain algorithm for community
detection in C++ and exposes it to Python. Besides the relative flexibility
of the implementation, it also scales well, and can be run on graphs of
millions of nodes (as long as they can fit in memory). The core function is
@code{find_partition} which finds the optimal partition using the louvain
algorithm for a number of different methods.")
(license license:gpl3+)))
(define-public python-vtraag-louvain
(deprecated-package "python-vtraag-louvain" python-louvain-igraph))
(define-public python-pygsp
(package
(name "python-pygsp")
(version "0.5.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "PyGSP" version))
(sha256
(base32 "002q4z3p3ka81rzhgi66qqmz1ccrg9hwch4bax7jsqixg64asx28"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; These all fail due to a type error in scipy.
'(list "-k" (string-append "not test_bunny"
" and not test_lowstretchtree"
" and not test_nngraph"
" and not test_plot_graphs"
" and not test_randomregular"))
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'disable-doctests
(lambda _
(substitute* "pygsp/tests/test_all.py"
(("def test_docstrings.*") "def _disabled_test_docstrings():\n")
(("return doctest.DocFileSuite.*") "return False\n")
(("suites.append\\(test_docstrings.*")
"")))))))
(propagated-inputs (list python-numpy python-scikit-image python-scipy))
(native-inputs
(list python-coverage python-coveralls python-flake8
python-pytest))
(home-page "https://github.com/epfl-lts2/pygsp")
(synopsis "Graph Signal Processing in Python")
(description "The PyGSP is a Python package to ease signal processing on
graphs.")
(license license:bsd-3)))
(define-public faiss
(package
(name "faiss")
(version "1.10.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/facebookresearch/faiss")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"1x6z94f6vhh7ppsn7wll46k7i63lzcnc3r3rv5zfarljybqhrsjd"))
;; Including but skipping perf_tests requires to patch
;; perf_tests/CMakeLists.txt. KISS: Remove it instead.
(modules '((guix build utils)))
(snippet #~(begin
(delete-file-recursively "perf_tests")
(substitute* "CMakeLists.txt"
(("add_subdirectory\\(perf_tests\\)") ""))))
(patches
(search-patches "faiss-tests-CMakeLists-find-googletest.patch"))))
(build-system cmake-build-system)
(arguments
(list #:configure-flags
#~'("-DFAISS_ENABLE_GPU=OFF" ; thanks, but no thanks, CUDA.
"-DFAISS_ENABLE_PYTHON=OFF"
"-DBUILD_TESTING=ON")))
(inputs
(list openblas))
(native-inputs
(list googletest openmpi))
(home-page "https://github.com/facebookresearch/faiss")
(synopsis "Efficient similarity search and clustering of dense vectors")
(description "Faiss is a library for efficient similarity search and
clustering of dense vectors. It contains algorithms that search in sets of
vectors of any size, up to ones that possibly do not fit in RAM. It also
contains supporting code for evaluation and parameter tuning.")
(license license:bsd-3)))
(define-public python-faiss
(package (inherit faiss)
(name "python-faiss")
(build-system cmake-build-system)
(arguments
(list
#:imported-modules `(,@%cmake-build-system-modules
(guix build gremlin)
(guix build python-build-system))
#:modules '((guix build cmake-build-system)
((guix build python-build-system) #:prefix python:)
(guix build utils)
(guix build gremlin)
(ice-9 match)
(srfi srfi-1)
(srfi srfi-26))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'chdir
(lambda _ (chdir "faiss/python")))
(add-before 'install 'python-build
(lambda _
((assoc-ref python:%standard-phases 'build)
#:use-setuptools? #t)))
(replace 'install
(lambda args
(apply
(assoc-ref python:%standard-phases 'install)
#:use-setuptools? #t
#:configure-flags ''()
args)
(for-each
delete-file
(find-files #$output
"_*faiss_example_external_module\\.(so|py)$"))))
;; Move check phase after 'install.
(delete 'check)
(add-after 'install 'check
(lambda* (#:key inputs outputs tests? #:allow-other-keys)
(if tests?
(with-directory-excursion "../../tests"
(let* ((version #$(version-major+minor
(package-version
(this-package-input "python-wrapper"))))
(destination (string-append "/lib/python" version
"/site-packages/")))
(setenv
"PYTHONPATH"
(string-join
(filter
directory-exists?
(map (match-lambda
((name . directory)
(string-append directory destination)))
(append outputs inputs)))
":")))
(for-each
(lambda (file)
(invoke "python" file))
(remove (cut member <> '(;; External module removed
"./external_module_test.py"
;; Avoid torch dependency
"./torch_test_contrib.py"
"./torch_test_neural_net.py"))
(find-files "." "\\.py$"))))
(format #t "test suite not run~%")))))))
(native-inputs
(list python-scipy))
(inputs
(list faiss openblas python-wrapper swig))
(propagated-inputs
(list python-numpy))
(description "Faiss is a library for efficient similarity search and
clustering of dense vectors. This package provides Python bindings to the
Faiss library.")))
(define-public libleidenalg
(package
(name "libleidenalg")
(version "0.11.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/vtraag/libleidenalg")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"0fqy79yrgnrifhyc2lys5jv84siq01ph6038qyz7qagl1yq5gdw8"))))
(build-system cmake-build-system)
(arguments
(list
#:tests? #f ;tests are not included
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'version-file
(lambda _
(let ((port (open-file "VERSION" "w")))
(display #$version port)
(close port)))))))
(inputs (list igraph))
(home-page "https://github.com/vtraag/libleidenalg")
(synopsis "Community detection in large networks")
(description "Leiden is a general algorithm for methods of community
detection in large networks and is an extension of the Louvain algorithm.
This package implements the Leiden algorithm in C++ and can be run on graphs
of millions of nodes (as long as they can fit in memory).")
(license license:gpl3+)))
(define-public python-leidenalg
(package
(name "python-leidenalg")
(version "0.10.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "leidenalg" version))
(sha256
(base32
"0k1f35bmgff8vc5fcyqa2dqfa1x17rb0vqzwkdqlm0sr5fllfh8g"))))
(build-system python-build-system)
(arguments
'(#:tests? #f ;tests are not included
#:phases (modify-phases %standard-phases
(add-after 'unpack 'fix-requirements
(lambda _
(substitute* "setup.py"
(("self.external = False")
"self.external = True")
(("self.use_pkgconfig = False")
"self.use_pkgconfig = True")
(("python-igraph >=")
"igraph >=")))))))
(native-inputs
(list pkg-config python-setuptools-scm))
(inputs
(list igraph libleidenalg))
(propagated-inputs
(list python-igraph))
(home-page "https://github.com/vtraag/leidenalg")
(synopsis "Community detection in large networks")
(description "Leiden is a general algorithm for methods of community
detection in large networks and is an extension of the Louvain algorithm. This
packages provides a Python wrapper to the C++ implementation.")
(license license:gpl3+)))
(define-public edge-addition-planarity-suite
(package
(name "edge-addition-planarity-suite")
(version "3.0.2.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url (string-append "https://github.com/graph-algorithms/"
name))
(commit (string-append "Version_" version))))
(file-name (git-file-name name version))
(sha256
(base32
"1c7bnxgiz28mqsq3a3msznmjq629w0qqjynm2rqnnjn2qpc22h3i"))))
(build-system gnu-build-system)
(native-inputs
(list autoconf automake libtool))
(synopsis "Embedding of planar graphs")
(description "The package provides a reference implementation of the
linear time edge addition algorithm for embedding planar graphs and
isolating planarity obstructions.")
(license license:bsd-3)
(home-page
"https://github.com/graph-algorithms/edge-addition-planarity-suite")))
(define-public plantri
(package
(name "plantri")
(version "5.5")
(source (origin
(method url-fetch)
(uri (string-append "https://users.cecs.anu.edu.au/~bdm/plantri/"
"plantri" (string-join
(string-split version #\.)
"") ".tar.gz"))
(sha256
(base32
"1vbxpjih293d9nmb65fsh6xgg0w12kygwycg1yw4wad7ridxy74i"))))
(build-system gnu-build-system)
(arguments
(list
#:tests? #f ; there are no tests
#:phases #~(modify-phases %standard-phases
(delete 'configure)
(replace 'install
(lambda _
(for-each
(lambda (bin)
(install-file bin (string-append #$output "/bin")))
'("fullgen" "plantri")))))))
(home-page "https://users.cecs.anu.edu.au/~bdm/plantri/")
(synopsis "Generate certain types of planar graphs")
(description
"@code{plantri} and @code{fullgen} (contained in the same package)
are programs for the generation of certain types of planar graphs. Graphs
are generated in such a way that exactly one member of each isomorphism
class is output without the need for storing them.")
(license license:asl2.0)))
(define-public rw
(package
(name "rw")
;; There is a version 0.8, but the tarball is broken with symlinks
;; to /usr/share.
(version "0.9")
(source (origin
(method url-fetch)
(uri (string-append "mirror://sourceforge/rankwidth/"
"rw-" version ".tar.gz"))
(sha256
(base32
"0hdlxxmlccb6fp7g58zv0rdzpbyjn9bgqlf052sgrk95zq33bq61"))
(patches (search-patches "rw-igraph-0.10.patch"))))
(build-system gnu-build-system)
(native-inputs (list pkg-config))
(inputs (list igraph))
(home-page "https://sourceforge.net/projects/rankwidth/")
(synopsis "Rank-width and rank-decomposition of graphs")
(description "rw computes rank-width and rank-decompositions
of graphs.")
(license license:gpl2+)))
(define-public mscgen
(package
(name "mscgen")
(version "0.20")
(source
(origin
(method url-fetch)
(uri (string-append "http://www.mcternan.me.uk/mscgen/software/mscgen-src-"
version ".tar.gz"))
(sha256
(base32
"08yw3maxhn5fl1lff81gmcrpa4j9aas4mmby1g9w5qcr0np82d1w"))))
(build-system gnu-build-system)
(native-inputs
(list pkg-config))
(inputs
(list fontconfig freetype gd libjpeg-turbo libpng zlib))
(home-page "https://www.mcternan.me.uk/mscgen/")
(synopsis "Message Sequence Chart Generator")
(description "Mscgen is a small program that parses Message Sequence Chart
descriptions and produces PNG, SVG, EPS or server side image maps (ismaps) as
the output. Message Sequence Charts (MSCs) are a way of representing entities
and interactions over some time period and are often used in combination with
SDL. MSCs are popular in Telecoms to specify how protocols operate although
MSCs need not be complicated to create or use. Mscgen aims to provide a simple
text language that is clear to create, edit and understand, which can also be
transformed into common image formats for display or printing.")
(license license:gpl2+)))
(define-public python-graph-tool
(package
(name "python-graph-tool")
(version "2.59")
(source (origin
(method url-fetch)
(uri (string-append
"https://downloads.skewed.de/graph-tool/graph-tool-"
version ".tar.bz2"))
(sha256
(base32
"1bmck5fcihj9lr5kd8x624bdi9xhfc13pl4mwzv74jr5lz07kr6d"))))
(build-system gnu-build-system)
(arguments
`(#:imported-modules (,@%default-gnu-imported-modules
(guix build python-build-system))
#:modules (,@%default-gnu-modules
((guix build python-build-system) #:select (site-packages)))
;; The build process peaks around 4GB/RAM per core.
#:parallel-build? #f
#:configure-flags
(list (string-append "--with-boost="
(assoc-ref %build-inputs "boost"))
(string-append "--with-python-module-path="
(site-packages %build-inputs %outputs)))))
(native-inputs
(list ncurses pkg-config))
(inputs
(list boost
cairomm-1.14
cgal
expat
gmp
gtk+
python-wrapper
sparsehash))
(propagated-inputs
(list python-matplotlib
python-numpy
python-pycairo
python-scipy
python-zstandard))
(synopsis "Manipulate and analyze graphs with Python efficiently")
(description "Graph-tool is an efficient Python module for manipulation
and statistical analysis of graphs (a.k.a. networks). Contrary to most other
Python modules with similar functionality, the core data structures and
algorithms are implemented in C++, making extensive use of template
metaprogramming, based heavily on the Boost Graph Library. This confers it a
level of performance that is comparable (both in memory usage and computation
time) to that of a pure C/C++ library.")
(home-page "https://graph-tool.skewed.de/")
(license license:lgpl3+)))
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