mirror of
https://git.in.rschanz.org/ryan77627/guix.git
synced 2024-12-27 06:42:14 -05:00
601 lines
24 KiB
Scheme
601 lines
24 KiB
Scheme
;;; GNU Guix --- Functional package management for GNU
|
|
;;; Copyright © 2015, 2016 Ricardo Wurmus <rekado@elephly.net>
|
|
;;; Copyright © 2016 Efraim Flashner <efraim@flashner.co.il>
|
|
;;; Copyright © 2016 Marius Bakke <mbakke@fastmail.com>
|
|
;;;
|
|
;;; 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 machine-learning)
|
|
#:use-module ((guix licenses) #:prefix license:)
|
|
#:use-module (guix packages)
|
|
#:use-module (guix utils)
|
|
#:use-module (guix download)
|
|
#:use-module (guix svn-download)
|
|
#:use-module (guix build-system cmake)
|
|
#:use-module (guix build-system gnu)
|
|
#:use-module (guix build-system ocaml)
|
|
#:use-module (guix build-system r)
|
|
#:use-module (gnu packages)
|
|
#:use-module (gnu packages autotools)
|
|
#:use-module (gnu packages boost)
|
|
#:use-module (gnu packages compression)
|
|
#:use-module (gnu packages dejagnu)
|
|
#:use-module (gnu packages gcc)
|
|
#:use-module (gnu packages image)
|
|
#:use-module (gnu packages maths)
|
|
#:use-module (gnu packages ocaml)
|
|
#:use-module (gnu packages perl)
|
|
#:use-module (gnu packages pkg-config)
|
|
#:use-module (gnu packages python)
|
|
#:use-module (gnu packages statistics)
|
|
#:use-module (gnu packages swig)
|
|
#:use-module (gnu packages xml)
|
|
#:use-module (gnu packages xorg))
|
|
|
|
(define-public libsvm
|
|
(package
|
|
(name "libsvm")
|
|
(version "3.20")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"https://github.com/cjlin1/libsvm/archive/v"
|
|
(string-delete #\. version) ".tar.gz"))
|
|
(file-name (string-append name "-" version ".tar.gz"))
|
|
(sha256
|
|
(base32
|
|
"1jpjlql3frjza7zxzrqqr2firh44fjb8fqsdmvz6bjz7sb47zgp4"))))
|
|
(build-system gnu-build-system)
|
|
(arguments
|
|
`(#:tests? #f ;no "check" target
|
|
#:phases (modify-phases %standard-phases
|
|
(delete 'configure)
|
|
(replace
|
|
'install
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(let* ((out (assoc-ref outputs "out"))
|
|
(bin (string-append out "/bin/")))
|
|
(mkdir-p bin)
|
|
(for-each (lambda (file)
|
|
(copy-file file (string-append bin file)))
|
|
'("svm-train"
|
|
"svm-predict"
|
|
"svm-scale")))
|
|
#t)))))
|
|
(home-page "http://www.csie.ntu.edu.tw/~cjlin/libsvm/")
|
|
(synopsis "Library for Support Vector Machines")
|
|
(description
|
|
"LIBSVM is a machine learning library for support vector
|
|
classification, (C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and
|
|
distribution estimation (one-class SVM). It supports multi-class
|
|
classification.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-libsvm
|
|
(package (inherit libsvm)
|
|
(name "python-libsvm")
|
|
(build-system gnu-build-system)
|
|
(arguments
|
|
`(#:tests? #f ;no "check" target
|
|
#:make-flags '("-C" "python")
|
|
#:phases
|
|
(modify-phases %standard-phases
|
|
(delete 'configure)
|
|
(replace
|
|
'install
|
|
(lambda* (#:key inputs outputs #:allow-other-keys)
|
|
(let ((site (string-append (assoc-ref outputs "out")
|
|
"/lib/python"
|
|
(string-take
|
|
(string-take-right
|
|
(assoc-ref inputs "python") 5) 3)
|
|
"/site-packages/")))
|
|
(substitute* "python/svm.py"
|
|
(("../libsvm.so.2") "libsvm.so.2"))
|
|
(mkdir-p site)
|
|
(for-each (lambda (file)
|
|
(copy-file file (string-append site (basename file))))
|
|
(find-files "python" "\\.py"))
|
|
(copy-file "libsvm.so.2"
|
|
(string-append site "libsvm.so.2")))
|
|
#t)))))
|
|
(inputs
|
|
`(("python" ,python)))
|
|
(synopsis "Python bindings of libSVM")))
|
|
|
|
(define-public ghmm
|
|
;; The latest release candidate is several years and a couple of fixes have
|
|
;; been published since. This is why we download the sources from the SVN
|
|
;; repository.
|
|
(let ((svn-revision 2341))
|
|
(package
|
|
(name "ghmm")
|
|
(version (string-append "0.9-rc3-0." (number->string svn-revision)))
|
|
(source (origin
|
|
(method svn-fetch)
|
|
(uri (svn-reference
|
|
(url "http://svn.code.sf.net/p/ghmm/code/trunk")
|
|
(revision svn-revision)))
|
|
(file-name (string-append name "-" version))
|
|
(sha256
|
|
(base32
|
|
"0qbq1rqp94l530f043qzp8aw5lj7dng9wq0miffd7spd1ff638wq"))))
|
|
(build-system gnu-build-system)
|
|
(arguments
|
|
`(#:imported-modules (,@%gnu-build-system-modules
|
|
(guix build python-build-system))
|
|
#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'enter-dir
|
|
(lambda _ (chdir "ghmm") #t))
|
|
(delete 'check)
|
|
(add-after 'install 'check
|
|
(assoc-ref %standard-phases 'check))
|
|
(add-before 'check 'fix-PYTHONPATH
|
|
(lambda* (#:key inputs outputs #:allow-other-keys)
|
|
(let ((python-version ((@@ (guix build python-build-system)
|
|
get-python-version)
|
|
(assoc-ref inputs "python"))))
|
|
(setenv "PYTHONPATH"
|
|
(string-append (getenv "PYTHONPATH")
|
|
":" (assoc-ref outputs "out")
|
|
"/lib/python" python-version
|
|
"/site-packages")))
|
|
#t))
|
|
(add-after 'enter-dir 'fix-runpath
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(substitute* "ghmmwrapper/setup.py"
|
|
(("^(.*)extra_compile_args = \\[" line indent)
|
|
(string-append indent
|
|
"extra_link_args = [\"-Wl,-rpath="
|
|
(assoc-ref outputs "out") "/lib\"],\n"
|
|
line
|
|
"\"-Wl,-rpath="
|
|
(assoc-ref outputs "out")
|
|
"/lib\", ")))
|
|
#t))
|
|
(add-after 'enter-dir 'disable-broken-tests
|
|
(lambda _
|
|
(substitute* "tests/Makefile.am"
|
|
;; GHMM_SILENT_TESTS is assumed to be a command.
|
|
(("TESTS_ENVIRONMENT.*") "")
|
|
;; Do not build broken tests.
|
|
(("chmm .*") "")
|
|
(("read_fa .*") "")
|
|
(("mcmc .*") "")
|
|
(("label_higher_order_test.*$")
|
|
"label_higher_order_test\n"))
|
|
|
|
;; These Python unittests are broken as there is no gato.
|
|
;; See https://sourceforge.net/p/ghmm/support-requests/3/
|
|
(substitute* "ghmmwrapper/ghmmunittests.py"
|
|
(("^(.*)def (testNewXML|testMultipleTransitionClasses|testNewXML)"
|
|
line indent)
|
|
(string-append indent
|
|
"@unittest.skip(\"Disabled by Guix\")\n"
|
|
line)))
|
|
#t))
|
|
(add-before 'configure 'autogen
|
|
(lambda _
|
|
(zero? (system* "bash" "./autogen.sh")))))))
|
|
(inputs
|
|
`(("python" ,python-2) ; only Python 2 is supported
|
|
("libxml2" ,libxml2)))
|
|
(native-inputs
|
|
`(("pkg-config" ,pkg-config)
|
|
("dejagnu" ,dejagnu)
|
|
("swig" ,swig)
|
|
("autoconf" ,autoconf)
|
|
("automake" ,automake)
|
|
("libtool" ,libtool)))
|
|
(home-page "http://ghmm.org")
|
|
(synopsis "Hidden Markov Model library")
|
|
(description
|
|
"The General Hidden Markov Model library (GHMM) is a C library with
|
|
additional Python bindings implementing a wide range of types of @dfn{Hidden
|
|
Markov Models} (HMM) and algorithms: discrete, continous emissions, basic
|
|
training, HMM clustering, HMM mixtures.")
|
|
(license license:lgpl2.0+))))
|
|
|
|
(define-public mcl
|
|
(package
|
|
(name "mcl")
|
|
(version "14.137")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"http://micans.org/mcl/src/mcl-"
|
|
(string-replace-substring version "." "-")
|
|
".tar.gz"))
|
|
(sha256
|
|
(base32
|
|
"15xlax3z31lsn62vlg94hkm75nm40q4679amnfg13jm8m2bnhy5m"))))
|
|
(build-system gnu-build-system)
|
|
(arguments
|
|
`(#:configure-flags (list "--enable-blast")))
|
|
(inputs
|
|
`(("perl" ,perl)))
|
|
(home-page "http://micans.org/mcl/")
|
|
(synopsis "Clustering algorithm for graphs")
|
|
(description
|
|
"The MCL algorithm is short for the @dfn{Markov Cluster Algorithm}, a
|
|
fast and scalable unsupervised cluster algorithm for graphs (also known as
|
|
networks) based on simulation of (stochastic) flow in graphs.")
|
|
;; In the LICENCE file and web page it says "The software is licensed
|
|
;; under the GNU General Public License, version 3.", but in several of
|
|
;; the source code files it suggests GPL3 or later.
|
|
;; http://listserver.ebi.ac.uk/pipermail/mcl-users/2016/000376.html
|
|
(license license:gpl3)))
|
|
|
|
(define-public ocaml-mcl
|
|
(package
|
|
(name "ocaml-mcl")
|
|
(version "12-068oasis4")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"https://github.com/fhcrc/mcl/archive/"
|
|
version ".tar.gz"))
|
|
(file-name (string-append name "-" version ".tar.gz"))
|
|
(sha256
|
|
(base32
|
|
"1l5jbhwjpsj38x8b9698hfpkv75h8hn3kj0gihjhn8ym2cwwv110"))))
|
|
(build-system ocaml-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-before 'configure 'patch-paths
|
|
(lambda _
|
|
(substitute* "configure"
|
|
(("SHELL = /bin/sh") (string-append "SHELL = "(which "sh"))))
|
|
(substitute* "setup.ml"
|
|
(("LDFLAGS=-fPIC")
|
|
(string-append "LDFLAGS=-fPIC\"; \"SHELL=" (which "sh"))))
|
|
#t)))))
|
|
(home-page "https://github.com/fhcrc/mcl")
|
|
(synopsis "OCaml wrappers around MCL")
|
|
(description
|
|
"This package provides OCaml bindings for the MCL graph clustering
|
|
algorithm.")
|
|
(license license:gpl3)))
|
|
|
|
(define-public randomjungle
|
|
(package
|
|
(name "randomjungle")
|
|
(version "2.1.0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"http://www.imbs-luebeck.de/imbs/sites/default/files/u59/"
|
|
"randomjungle-" version ".tar_.gz"))
|
|
(sha256
|
|
(base32
|
|
"12c8rf30cla71swx2mf4ww9mfd8jbdw5lnxd7dxhyw1ygrvg6y4w"))))
|
|
(build-system gnu-build-system)
|
|
(arguments
|
|
`(#:configure-flags
|
|
(list (string-append "--with-boost="
|
|
(assoc-ref %build-inputs "boost")))
|
|
#:phases
|
|
(modify-phases %standard-phases
|
|
(add-before
|
|
'configure 'set-CXXFLAGS
|
|
(lambda _
|
|
(setenv "CXXFLAGS" "-fpermissive ")
|
|
#t)))))
|
|
(inputs
|
|
`(("boost" ,boost)
|
|
("gsl" ,gsl)
|
|
("libxml2" ,libxml2)
|
|
("zlib" ,zlib)))
|
|
(native-inputs
|
|
`(("gfortran" ,gfortran)
|
|
("gfortran:lib" ,gfortran "lib")))
|
|
;; Non-portable assembly instructions are used so building fails on
|
|
;; platforms other than x86_64 or i686.
|
|
(supported-systems '("x86_64-linux" "i686-linux"))
|
|
(home-page "http://www.imbs-luebeck.de/imbs/de/node/227/")
|
|
(synopsis "Implementation of the Random Forests machine learning method")
|
|
(description
|
|
"Random Jungle is an implementation of Random Forests. It is supposed to
|
|
analyse high dimensional data. In genetics, it can be used for analysing big
|
|
Genome Wide Association (GWA) data. Random Forests is a powerful machine
|
|
learning method. Most interesting features are variable selection, missing
|
|
value imputation, classifier creation, generalization error estimation and
|
|
sample proximities between pairs of cases.")
|
|
(license license:gpl3+)))
|
|
|
|
(define-public shogun
|
|
(package
|
|
(name "shogun")
|
|
(version "4.0.0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"ftp://shogun-toolbox.org/shogun/releases/"
|
|
(version-major+minor version)
|
|
"/sources/shogun-" version ".tar.bz2"))
|
|
(sha256
|
|
(base32
|
|
"159nlijnb7mnrv9za80wnm1shwvy45hgrqzn51hxy7gw4z6d6fdb"))
|
|
(modules '((guix build utils)
|
|
(ice-9 rdelim)))
|
|
(snippet
|
|
'(begin
|
|
;; Remove non-free sources and files referencing them
|
|
(for-each delete-file
|
|
(find-files "src/shogun/classifier/svm/"
|
|
"SVMLight\\.(cpp|h)"))
|
|
(for-each delete-file
|
|
(find-files "examples/undocumented/libshogun/"
|
|
(string-append
|
|
"(classifier_.*svmlight.*|"
|
|
"evaluation_cross_validation_locked_comparison).cpp")))
|
|
;; Remove non-free functions.
|
|
(define (delete-ifdefs file)
|
|
(with-atomic-file-replacement file
|
|
(lambda (in out)
|
|
(let loop ((line (read-line in 'concat))
|
|
(skipping? #f))
|
|
(if (eof-object? line)
|
|
#t
|
|
(let ((skip-next?
|
|
(or (and skipping?
|
|
(not (string-prefix?
|
|
"#endif //USE_SVMLIGHT" line)))
|
|
(string-prefix?
|
|
"#ifdef USE_SVMLIGHT" line))))
|
|
(when (or (not skipping?)
|
|
(and skipping? (not skip-next?)))
|
|
(display line out))
|
|
(loop (read-line in 'concat) skip-next?)))))))
|
|
(for-each delete-ifdefs (find-files "src/shogun/kernel/"
|
|
"^Kernel\\.(cpp|h)"))))))
|
|
(build-system cmake-build-system)
|
|
(arguments
|
|
'(#:tests? #f ;no check target
|
|
#:phases
|
|
(alist-cons-after
|
|
'unpack 'delete-broken-symlinks
|
|
(lambda _
|
|
(for-each delete-file '("applications/arts/data"
|
|
"applications/asp/data"
|
|
"applications/easysvm/data"
|
|
"applications/msplicer/data"
|
|
"applications/ocr/data"
|
|
"examples/documented/data"
|
|
"examples/documented/matlab_static"
|
|
"examples/documented/octave_static"
|
|
"examples/undocumented/data"
|
|
"examples/undocumented/matlab_static"
|
|
"examples/undocumented/octave_static"
|
|
"tests/integration/data"
|
|
"tests/integration/matlab_static"
|
|
"tests/integration/octave_static"
|
|
"tests/integration/python_modular/tests"))
|
|
#t)
|
|
(alist-cons-after
|
|
'unpack 'change-R-target-path
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(substitute* '("src/interfaces/r_modular/CMakeLists.txt"
|
|
"src/interfaces/r_static/CMakeLists.txt"
|
|
"examples/undocumented/r_modular/CMakeLists.txt")
|
|
(("\\$\\{R_COMPONENT_LIB_PATH\\}")
|
|
(string-append (assoc-ref outputs "out")
|
|
"/lib/R/library/")))
|
|
#t)
|
|
(alist-cons-after
|
|
'unpack 'fix-octave-modules
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(substitute* '("src/interfaces/octave_modular/CMakeLists.txt"
|
|
"src/interfaces/octave_static/CMakeLists.txt")
|
|
(("^include_directories\\(\\$\\{OCTAVE_INCLUDE_DIRS\\}")
|
|
"include_directories(${OCTAVE_INCLUDE_DIRS} ${OCTAVE_INCLUDE_DIRS}/octave"))
|
|
|
|
;; change target directory
|
|
(substitute* "src/interfaces/octave_modular/CMakeLists.txt"
|
|
(("\\$\\{OCTAVE_OCT_LOCAL_API_FILE_DIR\\}")
|
|
(string-append (assoc-ref outputs "out")
|
|
"/share/octave/packages")))
|
|
#t)
|
|
(alist-cons-before
|
|
'build 'set-HOME
|
|
;; $HOME needs to be set at some point during the build phase
|
|
(lambda _ (setenv "HOME" "/tmp") #t)
|
|
%standard-phases))))
|
|
#:configure-flags
|
|
(list "-DCMAKE_BUILD_WITH_INSTALL_RPATH=TRUE"
|
|
"-DUSE_SVMLIGHT=OFF" ;disable proprietary SVMLIGHT
|
|
;;"-DJavaModular=ON" ;requires unpackaged jblas
|
|
;;"-DRubyModular=ON" ;requires unpackaged ruby-narray
|
|
;;"-DPerlModular=ON" ;"FindPerlLibs" does not exist
|
|
;;"-DLuaModular=ON" ;fails because lua doesn't build pkgconfig file
|
|
"-DOctaveModular=ON"
|
|
"-DOctaveStatic=ON"
|
|
"-DPythonModular=ON"
|
|
"-DPythonStatic=ON"
|
|
"-DRModular=ON"
|
|
"-DRStatic=ON"
|
|
"-DCmdLineStatic=ON")))
|
|
(inputs
|
|
`(("python" ,python)
|
|
("numpy" ,python-numpy)
|
|
("r-minimal" ,r-minimal)
|
|
("octave" ,octave)
|
|
("swig" ,swig)
|
|
("hdf5" ,hdf5)
|
|
("atlas" ,atlas)
|
|
("arpack" ,arpack-ng)
|
|
("lapack" ,lapack)
|
|
("glpk" ,glpk)
|
|
("libxml2" ,libxml2)
|
|
("lzo" ,lzo)
|
|
("zlib" ,zlib)))
|
|
(native-inputs
|
|
`(("pkg-config" ,pkg-config)))
|
|
;; Non-portable SSE instructions are used so building fails on platforms
|
|
;; other than x86_64.
|
|
(supported-systems '("x86_64-linux"))
|
|
(home-page "http://shogun-toolbox.org/")
|
|
(synopsis "Machine learning toolbox")
|
|
(description
|
|
"The Shogun Machine learning toolbox provides a wide range of unified and
|
|
efficient Machine Learning (ML) methods. The toolbox seamlessly allows to
|
|
combine multiple data representations, algorithm classes, and general purpose
|
|
tools. This enables both rapid prototyping of data pipelines and extensibility
|
|
in terms of new algorithms.")
|
|
(license license:gpl3+)))
|
|
|
|
(define-public r-adaptivesparsity
|
|
(package
|
|
(name "r-adaptivesparsity")
|
|
(version "1.4")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (cran-uri "AdaptiveSparsity" version))
|
|
(sha256
|
|
(base32
|
|
"1az7isvalf3kmdiycrfl6s9k9xqk22k1mc6rh8v0jmcz402qyq8z"))))
|
|
(properties
|
|
`((upstream-name . "AdaptiveSparsity")))
|
|
(build-system r-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'link-against-armadillo
|
|
(lambda _
|
|
(substitute* "src/Makevars"
|
|
(("PKG_LIBS=" prefix)
|
|
(string-append prefix "-larmadillo"))))))))
|
|
(propagated-inputs
|
|
`(("r-rcpp" ,r-rcpp)
|
|
("r-rcpparmadillo" ,r-rcpparmadillo)))
|
|
(home-page "http://cran.r-project.org/web/packages/AdaptiveSparsity")
|
|
(synopsis "Adaptive sparsity models")
|
|
(description
|
|
"This package implements the Figueiredo machine learning algorithm for
|
|
adaptive sparsity and the Wong algorithm for adaptively sparse gaussian
|
|
geometric models.")
|
|
(license license:lgpl3+)))
|
|
|
|
(define-public r-kernlab
|
|
(package
|
|
(name "r-kernlab")
|
|
(version "0.9-25")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (cran-uri "kernlab" version))
|
|
(sha256
|
|
(base32
|
|
"0qnaq9x3j2xc6jrmmd98wc6hkzch487s4p3a9lnc00xvahkhgpmr"))))
|
|
(build-system r-build-system)
|
|
(home-page "http://cran.r-project.org/web/packages/kernlab")
|
|
(synopsis "Kernel-based machine learning tools")
|
|
(description
|
|
"This package provides kernel-based machine learning methods for
|
|
classification, regression, clustering, novelty detection, quantile regression
|
|
and dimensionality reduction. Among other methods @code{kernlab} includes
|
|
Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes
|
|
and a QP solver.")
|
|
(license license:gpl2)))
|
|
|
|
(define-public dlib
|
|
(package
|
|
(name "dlib")
|
|
(version "19.3")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (string-append
|
|
"http://dlib.net/files/dlib-" version ".tar.bz2"))
|
|
(sha256
|
|
(base32
|
|
"0gfy83av717qymv53yv7ki6mgh6mdw4xcxxbjk8lrs72f8qvnrcw"))
|
|
(modules '((guix build utils)))
|
|
(snippet
|
|
'(begin
|
|
;; Delete ~13MB of bundled dependencies.
|
|
(delete-file-recursively "dlib/external")
|
|
(delete-file-recursively "docs/dlib/external")
|
|
#t))))
|
|
(build-system cmake-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'disable-asserts
|
|
(lambda _
|
|
;; config.h recommends explicitly enabling or disabling asserts
|
|
;; when building as a shared library. By default neither is set.
|
|
(substitute* "dlib/config.h"
|
|
(("^//#define DLIB_DISABLE_ASSERTS") "#define DLIB_DISABLE_ASSERTS"))
|
|
#t))
|
|
(add-after 'disable-asserts 'disable-failing-tests
|
|
(lambda _
|
|
;; One test times out on MIPS, so we need to disable it.
|
|
;; Others are flaky on some platforms.
|
|
(let* ((system ,(or (%current-target-system)
|
|
(%current-system)))
|
|
(disabled-tests (cond
|
|
((string-prefix? "mips64" system)
|
|
'("object_detector" ; timeout
|
|
"data_io"))
|
|
((string-prefix? "armhf" system)
|
|
'("learning_to_track"))
|
|
((string-prefix? "i686" system)
|
|
'("optimization"))
|
|
(else '()))))
|
|
(for-each
|
|
(lambda (test)
|
|
(substitute* "dlib/test/makefile"
|
|
(((string-append "SRC \\+= " test "\\.cpp")) "")))
|
|
disabled-tests)
|
|
#t)))
|
|
(replace 'check
|
|
(lambda _
|
|
;; No test target, so we build and run the unit tests here.
|
|
(let ((test-dir (string-append "../dlib-" ,version "/dlib/test")))
|
|
(with-directory-excursion test-dir
|
|
(setenv "CXXFLAGS" "-std=gnu++11")
|
|
(and (zero? (system* "make" "-j" (number->string (parallel-job-count))))
|
|
(zero? (system* "./dtest" "--runall")))))))
|
|
(add-after 'install 'delete-static-library
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(delete-file (string-append (assoc-ref outputs "out")
|
|
"/lib/libdlib.a"))
|
|
#t)))))
|
|
(native-inputs
|
|
`(("pkg-config" ,pkg-config)))
|
|
(inputs
|
|
`(("giflib" ,giflib)
|
|
("lapack" ,lapack)
|
|
("libjpeg" ,libjpeg)
|
|
("libpng" ,libpng)
|
|
("libx11" ,libx11)
|
|
("openblas" ,openblas)
|
|
("zlib" ,zlib)))
|
|
(synopsis
|
|
"Toolkit for making machine learning and data analysis applications in C++")
|
|
(description
|
|
"Dlib is a modern C++ toolkit containing machine learning algorithms and
|
|
tools. It is used in both industry and academia in a wide range of domains
|
|
including robotics, embedded devices, mobile phones, and large high performance
|
|
computing environments.")
|
|
(home-page "http://dlib.net")
|
|
(license license:boost1.0)))
|