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-rw-r--r--gnu/packages/graph.scm17
1 files changed, 6 insertions, 11 deletions
diff --git a/gnu/packages/graph.scm b/gnu/packages/graph.scm
index c0f0e450e2..61ad5da575 100644
--- a/gnu/packages/graph.scm
+++ b/gnu/packages/graph.scm
@@ -715,14 +715,14 @@ of millions of nodes (as long as they can fit in memory).")
(define-public python-leidenalg
(package
(name "python-leidenalg")
- (version "0.9.1")
+ (version "0.10.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "leidenalg" version))
(sha256
(base32
- "1wvmi6ca9kf8pbxg6b18n64h82wr9a6wcdazyn82pww0dwxzwp3y"))))
+ "0k1f35bmgff8vc5fcyqa2dqfa1x17rb0vqzwkdqlm0sr5fllfh8g"))))
(build-system python-build-system)
(arguments
'(#:tests? #f ;tests are not included
@@ -739,19 +739,14 @@ of millions of nodes (as long as they can fit in memory).")
(native-inputs
(list pkg-config python-setuptools-scm))
(inputs
- (list igraph))
+ (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. This package implements the Leiden algorithm 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 Leiden algorithm, which is an extension
-of the Louvain algorithm, for a number of different methods.")
+ (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