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author | Marius Bakke <mbakke@fastmail.com> | 2019-05-24 22:44:51 +0200 |
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committer | Marius Bakke <mbakke@fastmail.com> | 2019-05-24 22:44:51 +0200 |
commit | ddb4062784c66ecc0c42910b209dc80356a197ea (patch) | |
tree | d61154cfe888201707c2b4708bd6297ac371f0b0 /gnu/packages/graph.scm | |
parent | 563ecba5cf1dac64818fa7c452fcb191ec28e0fd (diff) | |
parent | dbe533292b2af2faad371c10bc9b3f03193f94b7 (diff) | |
download | guix-ddb4062784c66ecc0c42910b209dc80356a197ea.tar.gz |
Merge branch 'master' into staging
Diffstat (limited to 'gnu/packages/graph.scm')
-rw-r--r-- | gnu/packages/graph.scm | 35 |
1 files changed, 33 insertions, 2 deletions
diff --git a/gnu/packages/graph.scm b/gnu/packages/graph.scm index 5bcc48dbe6..36d0467175 100644 --- a/gnu/packages/graph.scm +++ b/gnu/packages/graph.scm @@ -162,14 +162,14 @@ model.") (define-public r-rgraphviz (package (name "r-rgraphviz") - (version "2.26.0") + (version "2.28.0") (source (origin (method url-fetch) (uri (bioconductor-uri "Rgraphviz" version)) (sha256 (base32 - "0bp6517xsih0wng2rgkh9z4r1afqhwl3h04z6ssm7p4cdj0ahm4y")))) + "0nivz8fshaqig6ynjqbya2gmxsy4hm7jnd8fhb853z5g0ydp7g0c")))) (properties `((upstream-name . "Rgraphviz"))) (build-system r-build-system) ;; FIXME: Rgraphviz bundles the sources of an older variant of @@ -415,3 +415,34 @@ CPUFLAGS = ~{~a ~}~%" (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 python-leidenalg + (package + (name "python-leidenalg") + (version "0.7.0") + (source + (origin + (method url-fetch) + (uri (pypi-uri "leidenalg" version)) + (sha256 + (base32 + "15fwld9hdw357rd026mzcwpah5liy4f33vc9x9kwy37g71b2rjf1")))) + (build-system python-build-system) + (arguments '(#:tests? #f)) ; tests are not included + (native-inputs + `(("pkg-config" ,pkg-config))) + (inputs + `(("igraph" ,igraph))) + (propagated-inputs + `(("python-igraph" ,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.") + (license license:gpl3+))) |