1481 lines
57 KiB
Scheme
1481 lines
57 KiB
Scheme
;;; GNU Guix --- Functional package management for GNU
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;;; Copyright © 2015, 2016, 2020, 2021, 2022 Ricardo Wurmus <rekado@elephly.net>
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;;; Copyright © 2015 Federico Beffa <beffa@fbengineering.ch>
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;;; Copyright © 2016 Ben Woodcroft <donttrustben@gmail.com>
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;;; Copyright © 2016 Hartmut Goebel <h.goebel@crazy-compilers.com>
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;;; Copyright © 2016, 2022 Efraim Flashner <efraim@flashner.co.il>
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;;; Copyright © 2016-2020, 2022 Marius Bakke <marius@gnu.org>
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;;; Copyright © 2019 Tobias Geerinckx-Rice <me@tobias.gr>
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;;; Copyright © 2019, 2021, 2022 Maxim Cournoyer <maxim.cournoyer@gmail.com>
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;;; Copyright © 2019 Giacomo Leidi <goodoldpaul@autistici.org>
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;;; Copyright © 2020 Pierre Langlois <pierre.langlois@gmx.com>
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;;; Copyright © 2020, 2021, 2022 Vinicius Monego <monego@posteo.net>
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;;; Copyright © 2021 Greg Hogan <code@greghogan.com>
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;;; Copyright © 2021 Roel Janssen <roel@gnu.org>
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;;; Copyright © 2021 Paul Garlick <pgarlick@tourbillion-technology.com>
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;;; Copyright © 2021 Arun Isaac <arunisaac@systemreboot.net>
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;;; Copyright © 2021 Felix Gruber <felgru@posteo.net>
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;;; Copyright © 2022 Malte Frank Gerdes <malte.f.gerdes@gmail.com>
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;;; Copyright © 2022 Guillaume Le Vaillant <glv@posteo.net>
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;;; Copyright © 2022 Paul A. Patience <paul@apatience.com>
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;;; Copyright © 2022 Wiktor Żelazny <wzelazny@vurv.cz>
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;;; Copyright © 2022 Eric Bavier <bavier@posteo.net>
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;;;
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;;; This file is part of GNU Guix.
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;;;
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;;; GNU Guix is free software; you can redistribute it and/or modify it
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;;; under the terms of the GNU General Public License as published by
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;;; the Free Software Foundation; either version 3 of the License, or (at
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;;; your option) any later version.
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;;;
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;;; GNU Guix is distributed in the hope that it will be useful, but
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;;; WITHOUT ANY WARRANTY; without even the implied warranty of
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;;; MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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;;; GNU General Public License for more details.
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;;;
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;;; You should have received a copy of the GNU General Public License
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;;; along with GNU Guix. If not, see <http://www.gnu.org/licenses/>.
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(define-module (gnu packages python-science)
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#:use-module ((guix licenses) #:prefix license:)
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#:use-module (gnu packages)
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#:use-module (gnu packages base)
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#:use-module (gnu packages bioinformatics)
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#:use-module (gnu packages boost)
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#:use-module (gnu packages check)
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|
#:use-module (gnu packages cpp)
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|
#:use-module (gnu packages databases)
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|
#:use-module (gnu packages gcc)
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#:use-module (gnu packages image-processing)
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#:use-module (gnu packages machine-learning)
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#:use-module (gnu packages maths)
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#:use-module (gnu packages mpi)
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#:use-module (gnu packages perl)
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#:use-module (gnu packages pkg-config)
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#:use-module (gnu packages python)
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#:use-module (gnu packages python-build)
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#:use-module (gnu packages python-crypto)
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#:use-module (gnu packages python-check)
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#:use-module (gnu packages python-web)
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#:use-module (gnu packages python-xyz)
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#:use-module (gnu packages simulation)
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#:use-module (gnu packages sphinx)
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#:use-module (gnu packages statistics)
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#:use-module (gnu packages time)
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#:use-module (gnu packages xdisorg)
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#:use-module (gnu packages xml)
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|
#:use-module (gnu packages xorg)
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|
#:use-module (guix packages)
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|
#:use-module (guix gexp)
|
|
#:use-module (guix download)
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|
#:use-module (guix git-download)
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#:use-module (guix utils)
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#:use-module (guix build-system python))
|
|
|
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(define-public python-scipy
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(package
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(name "python-scipy")
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(version "1.8.0")
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(source
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(origin
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|
(method url-fetch)
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(uri (pypi-uri "scipy" version))
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(sha256
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(base32 "1gghkwn93niyasm36333xbqrnn3yiadq9d97wnc9mg14nzbg5m1i"))))
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(outputs '("out" "doc"))
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(build-system python-build-system)
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|
(arguments
|
|
(list
|
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#:modules '((guix build utils)
|
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(guix build python-build-system)
|
|
(ice-9 format))
|
|
#:phases
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#~(modify-phases %standard-phases
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(add-after 'unpack 'disable-pythran
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(lambda _
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(setenv "SCIPY_USE_PYTHRAN" "0")))
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(add-before 'build 'change-home-dir
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(lambda _
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;; Change from /homeless-shelter to /tmp for write permission.
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(setenv "HOME" "/tmp")))
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(add-before 'build 'configure-openblas
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(lambda _
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(call-with-output-file "site.cfg"
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(lambda (port)
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(format port
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"\
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[blas]
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libraries = openblas
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library_dirs = ~a/lib
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include_dirs = ~:*~a/include
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[atlas]
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library_dirs = ~:*~a/lib
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atlas_libs = openblas~%" #$(this-package-input "openblas"))))))
|
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(add-before 'build 'parallelize-build
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(lambda _
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(setenv "NPY_NUM_BUILD_JOBS"
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(number->string (parallel-job-count)))))
|
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(add-before 'check 'install-doc
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(lambda* (#:key outputs #:allow-other-keys)
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(let* ((data (string-append (assoc-ref outputs "doc") "/share"))
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(doc (string-append data "/doc/" #$name "-" #$version))
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(html (string-append doc "/html")))
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(with-directory-excursion "doc"
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;; Build doc.
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(invoke "make" "html"
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;; Building the documentation takes a very long time.
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;; Parallelize it.
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(string-append "SPHINXOPTS=-j"
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(number->string (parallel-job-count))))
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;; Install doc.
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(mkdir-p html)
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(copy-recursively "build/html" html)))))
|
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(replace 'check
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(lambda* (#:key tests? #:allow-other-keys)
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(when tests?
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(invoke "./runtests.py" "-vv" "--no-build" "--mode=fast"
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"-j" (number->string (parallel-job-count)))))))))
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(propagated-inputs (list python-numpy python-matplotlib python-pyparsing))
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(inputs (list openblas pybind11))
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(native-inputs
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(list gfortran
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perl
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python-cython
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python-numpydoc
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python-pydata-sphinx-theme
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python-pytest
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python-pytest-xdist
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python-sphinx
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python-sphinx-panels
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python-threadpoolctl
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which))
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(home-page "https://scipy.org/")
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(synopsis "The Scipy library provides efficient numerical routines")
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(description "The SciPy library is one of the core packages that make up
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the SciPy stack. It provides many user-friendly and efficient numerical
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routines such as routines for numerical integration and optimization.")
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(license license:bsd-3)))
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(define-public python-scikit-fuzzy
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(package
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(name "python-scikit-fuzzy")
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(version "0.4.2")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "scikit-fuzzy" version))
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(sha256
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(base32 "0bp1n771fj44kdp7a00bcvfwirvv2rc803b7g6yf3va7v0j29c8s"))))
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(build-system python-build-system)
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(arguments '(#:tests? #f)) ;XXX: not compatible with newer numpy.testing
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(native-inputs
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(list python-nose))
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(propagated-inputs
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(list python-networkx python-numpy python-scipy))
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|
(home-page "https://github.com/scikit-fuzzy/scikit-fuzzy")
|
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(synopsis "Fuzzy logic toolkit for SciPy")
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(description
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"This package implements many useful tools for projects involving fuzzy
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logic, also known as grey logic.")
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(license license:bsd-3)))
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(define-public python-scikit-image
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(package
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(name "python-scikit-image")
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(version "0.19.3")
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(source
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(origin
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(method url-fetch)
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(uri (pypi-uri "scikit-image" version))
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(sha256
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(base32 "0l645smf7w1kail70z8d9r3xmvz7qh6g7n3d2bpacbbnw5ykdd94"))))
|
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(build-system python-build-system)
|
|
(arguments
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|
`(#:phases
|
|
(modify-phases %standard-phases
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(add-before 'build 'change-home-dir
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|
(lambda _
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;; Change from /homeless-shelter to /tmp for write permission.
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(setenv "HOME" "/tmp")
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#t))
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(replace 'build
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(lambda _
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(invoke "make")))
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(replace 'check
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(lambda _
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;; The following tests require online data.
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(invoke "python" "-m" "pytest" "skimage" "--doctest-modules" "-k"
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(string-append "not test_ndim"
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" and not test_skin")))))))
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;; See requirements/ for the list of build and run time requirements.
|
|
;; NOTE: scikit-image has an optional dependency on python-pooch, however
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;; propagating it would enable many more tests that require online data.
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|
(propagated-inputs
|
|
(list python-cloudpickle
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python-dask
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python-imageio
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|
python-matplotlib
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|
python-networkx
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|
python-numpy
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|
python-pillow
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|
python-pythran
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|
python-pywavelets
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|
python-scipy
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python-tifffile))
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(native-inputs
|
|
(list python-cython
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python-pytest
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|
python-pytest-localserver))
|
|
(home-page "https://scikit-image.org/")
|
|
(synopsis "Image processing in Python")
|
|
(description
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"Scikit-image is a collection of algorithms for image processing.")
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(license license:bsd-3)))
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|
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(define-public python-scikit-allel
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(package
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(name "python-scikit-allel")
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|
(version "1.3.5")
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|
(source
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|
(origin
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|
(method url-fetch)
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|
(uri (pypi-uri "scikit-allel" version))
|
|
(sha256
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|
(base32 "1vg88ng6gd175gzk39iz1drxig5l91dyx398w2kbw3w8036zv8gj"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
(list
|
|
#:phases
|
|
#~(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(invoke "python" "setup.py" "build_ext" "--inplace")
|
|
(invoke "python" "-m" "pytest" "-v" "allel"
|
|
;; AttributeError: 'Dataset' object has no attribute 'asstr'
|
|
"-k" (string-append
|
|
"not test_vcf_to_hdf5"
|
|
" and not test_vcf_to_hdf5_exclude"
|
|
" and not test_vcf_to_hdf5_rename"
|
|
" and not test_vcf_to_hdf5_group"
|
|
" and not test_vcf_to_hdf5_ann"))))))))
|
|
(propagated-inputs
|
|
(list python-dask
|
|
python-numpy))
|
|
(native-inputs
|
|
(list python-cython
|
|
;; The following are all needed for the tests
|
|
htslib
|
|
python-h5py
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|
python-hmmlearn
|
|
python-numexpr
|
|
python-pytest
|
|
python-scipy
|
|
python-setuptools-scm
|
|
python-zarr))
|
|
(home-page "https://github.com/cggh/scikit-allel")
|
|
(synopsis "Explore and analyze genetic variation data")
|
|
(description
|
|
"This package provides utilities for exploratory analysis of large scale
|
|
genetic variation data.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-sgp4
|
|
(package
|
|
(name "python-sgp4")
|
|
(version "2.12")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "sgp4" version))
|
|
(sha256
|
|
(base32 "0dncp9i5b6afkg7f8mj9j0qzsp008b8v73yc0qkmizhpns7mvwvx"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-numpy))
|
|
(home-page "https://github.com/brandon-rhodes/python-sgp4")
|
|
(synopsis "Track earth satellite TLE orbits using SGP4")
|
|
(description
|
|
"This package provides a Python implementation of the most recent version
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of the SGP4 satellite tracking algorithm.")
|
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(license license:expat)))
|
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|
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(define-public python-trimesh
|
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(package
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(name "python-trimesh")
|
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(version "3.10.7")
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|
(source
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|
(origin
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|
(method url-fetch)
|
|
(uri (pypi-uri "trimesh" version))
|
|
(sha256
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|
(base32 "0bw55cwxlxds0j54naijh64sdb0rkscx4i1fy0ql94h96kw2p2ir"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-numpy))
|
|
(native-inputs
|
|
(list python-coveralls
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|
python-pyinstrument
|
|
python-pytest
|
|
python-pytest-cov))
|
|
(arguments
|
|
`(;; TODO: Get tests to work.
|
|
#:tests? #f
|
|
#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'fix-build
|
|
(lambda _
|
|
(substitute* "trimesh/resources/templates/blender_boolean.py"
|
|
(("\\$MESH_PRE")
|
|
"'$MESH_PRE'")))))))
|
|
(home-page "https://github.com/mikedh/trimesh")
|
|
(synopsis "Python library for loading and using triangular meshes")
|
|
(description
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|
"Trimesh is a pure Python library for loading and using triangular meshes
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with an emphasis on watertight surfaces. The goal of the library is to provide
|
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a full featured and well tested Trimesh object which allows for easy
|
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manipulation and analysis, in the style of the Polygon object in the Shapely
|
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library.")
|
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(license license:expat)))
|
|
|
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(define-public python-pandas
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|
(package
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(name "python-pandas")
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(version "1.4.2")
|
|
(source
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|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "pandas" version))
|
|
(sha256
|
|
(base32 "04lsak3j5hq2hk0vfjf532rdxdqmg2akamdl4yl3qipihp2izg4j"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:modules ((guix build utils)
|
|
(guix build python-build-system)
|
|
(ice-9 ftw)
|
|
(srfi srfi-1)
|
|
(srfi srfi-26))
|
|
#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'enable-parallel-build
|
|
(lambda _
|
|
(substitute* "setup.py"
|
|
(("\"-j\", type=int, default=1")
|
|
(format #f "\"-j\", type=int, default=~a"
|
|
(parallel-job-count))))))
|
|
(add-after 'unpack 'patch-which
|
|
(lambda* (#:key inputs #:allow-other-keys)
|
|
(let ((which (assoc-ref inputs "which")))
|
|
(substitute* "pandas/io/clipboard/__init__.py"
|
|
(("^WHICH_CMD = .*")
|
|
(string-append "WHICH_CMD = \"" which "\"\n"))))))
|
|
(add-before 'check 'prepare-x
|
|
(lambda _
|
|
(system "Xvfb &")
|
|
(setenv "DISPLAY" ":0")
|
|
;; xsel needs to write a log file.
|
|
(setenv "HOME" "/tmp")))
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(let ((build-directory
|
|
(string-append
|
|
(getcwd) "/build/"
|
|
(first (scandir "build"
|
|
(cut string-prefix? "lib." <>))))))
|
|
(substitute* "pyproject.toml"
|
|
;; Not all data files are distributed with the tarball.
|
|
(("--strict-data-files ") ""))
|
|
(with-directory-excursion build-directory
|
|
(when tests?
|
|
(invoke "pytest" "-vv" "pandas" "--skip-slow"
|
|
"--skip-network"
|
|
"-n" (number->string (parallel-job-count))
|
|
"-k"
|
|
(string-append
|
|
;; These test access the internet (see:
|
|
;; https://github.com/pandas-dev/pandas/issues/45085).:
|
|
;; pandas/tests/io/xml/test_xml.py::test_wrong_url[lxml]
|
|
;; pandas/tests/io/xml/test_xml.py::test_wrong_url[etree]
|
|
"not test_wrong_url"
|
|
;; TODO: Missing input
|
|
" and not TestS3"
|
|
" and not s3"
|
|
;; This test fails when run with pytest-xdist
|
|
;; (see:
|
|
;; https://github.com/pandas-dev/pandas/issues/39096).
|
|
" and not test_memory_usage"))))))))))
|
|
(propagated-inputs
|
|
(list python-jinja2
|
|
python-numpy
|
|
python-openpyxl
|
|
python-pytz
|
|
python-dateutil
|
|
python-xlrd
|
|
python-xlsxwriter))
|
|
(inputs
|
|
(list which xclip xsel))
|
|
(native-inputs
|
|
(list python-cython
|
|
python-beautifulsoup4
|
|
python-lxml
|
|
python-html5lib
|
|
python-pytest
|
|
python-pytest-mock
|
|
python-pytest-xdist
|
|
;; Needed to test clipboard support.
|
|
xorg-server-for-tests))
|
|
(home-page "https://pandas.pydata.org")
|
|
(synopsis "Data structures for data analysis, time series, and statistics")
|
|
(description
|
|
"Pandas is a Python package providing fast, flexible, and expressive data
|
|
structures designed to make working with structured (tabular,
|
|
multidimensional, potentially heterogeneous) and time series data both easy
|
|
and intuitive. It aims to be the fundamental high-level building block for
|
|
doing practical, real world data analysis in Python.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-pythran
|
|
(package
|
|
(name "python-pythran")
|
|
(version "0.11.0")
|
|
(home-page "https://github.com/serge-sans-paille/pythran")
|
|
(source (origin
|
|
(method git-fetch)
|
|
(uri (git-reference (url home-page) (commit version)))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32 "0cm7wfcyvkp1wmq7n1lyf2d3sj6158jf63bagjpjmfnjwij19n0p"))
|
|
(modules '((guix build utils)))
|
|
(snippet
|
|
'(begin
|
|
;; Remove bundled Boost and xsimd.
|
|
(delete-file-recursively "third_party")))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
(list #:phases
|
|
#~(modify-phases %standard-phases
|
|
(add-after 'unpack 'do-not-install-third-parties
|
|
(lambda _
|
|
(substitute* "setup.py"
|
|
(("third_parties = .*")
|
|
"third_parties = []\n"))))
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
;; Remove compiler flag that trips newer GCC:
|
|
;; https://github.com/serge-sans-paille/pythran/issues/908
|
|
(substitute* "pythran/tests/__init__.py"
|
|
(("'-Wno-absolute-value',")
|
|
""))
|
|
(setenv "HOME" (getcwd))
|
|
;; This setup is modelled after the upstream CI system.
|
|
(call-with-output-file ".pythranrc"
|
|
(lambda (port)
|
|
(format port "[compiler]\nblas=openblas~%")))
|
|
(invoke "pytest" "-vv"
|
|
(string-append "--numprocesses="
|
|
(number->string
|
|
(parallel-job-count)))
|
|
"pythran/tests/test_cases.py")))))))
|
|
(native-inputs
|
|
;; For tests.
|
|
(list openblas python-pytest python-pytest-xdist))
|
|
(propagated-inputs
|
|
(list boost xsimd ;headers need to be available
|
|
python-beniget python-gast python-numpy python-ply))
|
|
(synopsis "Ahead of Time compiler for numeric kernels")
|
|
(description
|
|
"Pythran is an ahead of time compiler for a subset of the Python
|
|
language, with a focus on scientific computing. It takes a Python module
|
|
annotated with a few interface descriptions and turns it into a native
|
|
Python module with the same interface, but (hopefully) faster.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-bottleneck
|
|
(package
|
|
(name "python-bottleneck")
|
|
(version "1.3.2")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "Bottleneck" version))
|
|
(sha256
|
|
(base32 "0wz5320jx3n4q2nsvwvc7cpi66b46qbals9v53m955rmcq5ry5r0"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda _
|
|
(invoke "python" "setup.py" "pytest"))))))
|
|
(native-inputs
|
|
(list python-hypothesis python-pytest python-pytest-runner))
|
|
(propagated-inputs
|
|
(list python-numpy))
|
|
(home-page "https://github.com/pydata/bottleneck")
|
|
(synopsis "Fast NumPy array functions written in C")
|
|
(description
|
|
"Bottleneck is a collection of fast, NaN-aware NumPy array functions
|
|
written in C.")
|
|
(license license:bsd-2)))
|
|
|
|
(define-public python-baycomp
|
|
(package
|
|
(name "python-baycomp")
|
|
(version "1.0.2")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "baycomp" version))
|
|
(sha256
|
|
(base32 "1c1354a7b3g8slychjgyjxqdm8z40z9kviyl9n4g9kfpdg0p4d64"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-matplotlib python-numpy python-scipy))
|
|
(home-page "https://github.com/janezd/baycomp")
|
|
(synopsis "Library for comparison of Bayesian classifiers")
|
|
(description
|
|
"Baycomp is a library for Bayesian comparison of classifiers. Functions
|
|
in the library compare two classifiers on one or on multiple data sets. They
|
|
compute three probabilities: the probability that the first classifier has
|
|
higher scores than the second, the probability that differences are within the
|
|
region of practical equivalence (rope), or that the second classifier has
|
|
higher scores.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-fbpca
|
|
(package
|
|
(name "python-fbpca")
|
|
(version "1.0")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "fbpca" version))
|
|
(sha256
|
|
(base32
|
|
"1lbjqhqsdmqk86lb86q3ywf7561zmdny1dfvgwqkyrkr4ij7f1hm"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-numpy python-scipy))
|
|
(home-page "https://fbpca.readthedocs.io/")
|
|
(synopsis "Functions for principal component analysis and accuracy checks")
|
|
(description
|
|
"This package provides fast computations for @dfn{principal component
|
|
analysis} (PCA), SVD, and eigendecompositions via randomized methods")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-geosketch
|
|
(package
|
|
(name "python-geosketch")
|
|
(version "1.2")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "geosketch" version))
|
|
(sha256
|
|
(base32
|
|
"0knch5h0p8xpm8bi3b5mxyaf1ywwimrsdmbnc1xr5icidcv9gzmv"))))
|
|
(build-system python-build-system)
|
|
(arguments '(#:tests? #false)) ;there are none
|
|
(propagated-inputs (list python-fbpca python-numpy python-scikit-learn))
|
|
(home-page "https://github.com/brianhie/geosketch")
|
|
(synopsis "Geometry-preserving random sampling")
|
|
(description "geosketch is a Python package that implements the geometric
|
|
sketching algorithm described by Brian Hie, Hyunghoon Cho, Benjamin DeMeo,
|
|
Bryan Bryson, and Bonnie Berger in \"Geometric sketching compactly summarizes
|
|
the single-cell transcriptomic landscape\", Cell Systems (2019). This package
|
|
provides an example implementation of the algorithm as well as scripts
|
|
necessary for reproducing the experiments in the paper.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-xarray
|
|
(package
|
|
(name "python-xarray")
|
|
(version "0.15.1")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "xarray" version))
|
|
(sha256
|
|
(base32
|
|
"1yx8j66b7rn10m2l6gmn8yr9cn38pi5cj0x0wwpy4hdnhy6i7qv4"))))
|
|
(build-system python-build-system)
|
|
(native-inputs
|
|
(list python-setuptools-scm python-pytest))
|
|
(propagated-inputs
|
|
(list python-numpy python-pandas))
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda _
|
|
(invoke "pytest"))))))
|
|
(home-page "https://github.com/pydata/xarray")
|
|
(synopsis "N-D labeled arrays and datasets")
|
|
(description "Xarray (formerly xray) makes working with labelled
|
|
multi-dimensional arrays simple, efficient, and fun!
|
|
|
|
Xarray introduces labels in the form of dimensions, coordinates and attributes
|
|
on top of raw NumPy-like arrays, which allows for a more intuitive, more
|
|
concise, and less error-prone developer experience. The package includes a
|
|
large and growing library of domain-agnostic functions for advanced analytics
|
|
and visualization with these data structures.")
|
|
(license license:asl2.0)))
|
|
|
|
(define-public python-msgpack-numpy
|
|
(package
|
|
(name "python-msgpack-numpy")
|
|
(version "0.4.6.post0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "msgpack-numpy" version))
|
|
(sha256
|
|
(base32
|
|
"0syzy645mwcy7lfjwz6pc8f9p2vv1qk4limc8iina3l5nnf0rjyz"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-msgpack python-numpy))
|
|
(home-page "https://github.com/lebedov/msgpack-numpy")
|
|
(synopsis
|
|
"Numpy data serialization using msgpack")
|
|
(description
|
|
"This package provides encoding and decoding routines that enable the
|
|
serialization and deserialization of numerical and array data types provided
|
|
by numpy using the highly efficient @code{msgpack} format. Serialization of
|
|
Python's native complex data types is also supported.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-ruffus
|
|
(package
|
|
(name "python-ruffus")
|
|
(version "2.8.4")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "ruffus" version))
|
|
(sha256
|
|
(base32
|
|
"1ai673k1s94s8b6pyxai8mk17p6zvvyi87rl236fs6ls8mpdklvc"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(delete 'check)
|
|
(add-after 'install 'check
|
|
(lambda* (#:key tests? inputs outputs #:allow-other-keys)
|
|
(when tests?
|
|
(add-installed-pythonpath inputs outputs)
|
|
(with-directory-excursion "ruffus/test"
|
|
(invoke "bash" "run_all_unit_tests3.cmd"))))))))
|
|
(native-inputs
|
|
(list python-pytest))
|
|
(home-page "http://www.ruffus.org.uk")
|
|
(synopsis "Light-weight computational pipeline management")
|
|
(description
|
|
"Ruffus is designed to allow scientific and other analyses to be
|
|
automated with the minimum of fuss and the least effort.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-statannot
|
|
(package
|
|
(name "python-statannot")
|
|
(version "0.2.3")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "statannot" version))
|
|
(sha256
|
|
(base32
|
|
"1f8c2sylzr7lpjbyqxsqlp9xi8rj3d8c9hfh98x4jbb83zxc4026"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-numpy python-seaborn python-matplotlib python-pandas
|
|
python-scipy))
|
|
(home-page
|
|
"https://github.com/webermarcolivier/statannot")
|
|
(synopsis "Add annotations to existing plots generated by seaborn")
|
|
(description
|
|
"This is a Python package to compute statistical test and add statistical
|
|
annotations on an existing boxplots and barplots generated by seaborn.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-upsetplot
|
|
(package
|
|
(name "python-upsetplot")
|
|
(version "0.6.0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "UpSetPlot" version))
|
|
(sha256
|
|
(base32
|
|
"11zrykwnb00w5spx4mnsnm0f9gwrphdczainpmwkyyi50vipaa2l"))
|
|
(modules '((guix build utils)))
|
|
(snippet
|
|
;; Patch for compatibility with newer setuptools:
|
|
;; https://github.com/jnothman/UpSetPlot/pull/178
|
|
'(substitute* "upsetplot/data.py"
|
|
(("import distutils")
|
|
"from distutils.version import LooseVersion")
|
|
(("if distutils\\.version\\.LooseVersion")
|
|
"if LooseVersion")))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
'(#:phases
|
|
(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(invoke "pytest" "-v" "--doctest-modules")))))))
|
|
(propagated-inputs
|
|
(list python-matplotlib python-pandas))
|
|
(native-inputs
|
|
(list python-pytest-runner python-pytest-cov))
|
|
(home-page "https://upsetplot.readthedocs.io")
|
|
(synopsis "Draw UpSet plots with Pandas and Matplotlib")
|
|
(description
|
|
"This is a Python implementation of UpSet plots by Lex et al.
|
|
UpSet plots are used to visualize set overlaps; like Venn diagrams but more
|
|
readable.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-vedo
|
|
(package
|
|
(name "python-vedo")
|
|
(version "2022.2.0")
|
|
(source
|
|
(origin
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/marcomusy/vedo")
|
|
(commit (string-append "v" version))))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32
|
|
"1hhv4xc4bphhd1zrnf7r6fpf65xvkdqmb1lh51qg1xpv91h2az0h"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'fix-tests
|
|
;; These tests require online data.
|
|
(lambda _
|
|
(substitute* "tests/common/test_actors.py"
|
|
(("^st = .*") "")
|
|
(("^assert isinstance\\(st\\.GetTexture\\(\\), .*") ""))
|
|
(delete-file "tests/common/test_pyplot.py")))
|
|
(add-after 'build 'mpi-setup
|
|
,%openmpi-setup)
|
|
(replace 'check
|
|
(lambda* (#:key tests? inputs outputs #:allow-other-keys)
|
|
(when tests?
|
|
(setenv "HOME" (getcwd))
|
|
(add-installed-pythonpath inputs outputs)
|
|
(with-directory-excursion "tests"
|
|
(for-each (lambda (dir)
|
|
(with-directory-excursion dir
|
|
(invoke "./run_all.sh")))
|
|
'("common" "dolfin"))))))
|
|
;; Disable the sanity check, which fails with the following error:
|
|
;;
|
|
;; ...checking requirements: ERROR: vedo==2022.2.0 DistributionNotFound(Requirement.parse('vtk<9.1.0'), {'vedo'})
|
|
(delete 'sanity-check))))
|
|
(native-inputs
|
|
(list pkg-config
|
|
python-pkgconfig))
|
|
(propagated-inputs
|
|
(list fenics
|
|
python-deprecated
|
|
python-matplotlib
|
|
python-numpy
|
|
vtk))
|
|
(home-page "https://github.com/marcomusy/vedo")
|
|
(synopsis
|
|
"Analysis and visualization of 3D objects and point clouds")
|
|
(description
|
|
"@code{vedo} is a fast and lightweight python module for
|
|
scientific analysis and visualization. The package provides a wide
|
|
range of functionalities for working with three-dimensional meshes and
|
|
point clouds. It can also be used to generate high quality
|
|
two-dimensional renderings such as scatter plots and histograms.
|
|
@code{vedo} is based on @code{vtk} and @code{numpy}.")
|
|
;; vedo is released under the Expat license. Included fonts are
|
|
;; covered by the OFL license and textures by the CC0 license.
|
|
;; The earth images are in the public domain.
|
|
(license (list license:expat
|
|
license:silofl1.1
|
|
license:cc0
|
|
license:public-domain))))
|
|
|
|
(define-public python-pandas-flavor
|
|
(package
|
|
(name "python-pandas-flavor")
|
|
(version "0.2.0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "pandas_flavor" version))
|
|
(sha256
|
|
(base32
|
|
"12g4av8gpl6l83yza3h97j3f2jblqv69frlidrvdq8ny2rc6awbq"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-pandas python-xarray))
|
|
(home-page "https://github.com/Zsailer/pandas_flavor")
|
|
(synopsis "Write your own flavor of Pandas")
|
|
(description "Pandas 0.23 added a simple API for registering accessors
|
|
with Pandas objects. Pandas-flavor extends Pandas' extension API by
|
|
|
|
@itemize
|
|
@item adding support for registering methods as well
|
|
@item making each of these functions backwards compatible with older versions
|
|
of Pandas
|
|
@end itemize")
|
|
(license license:expat)))
|
|
|
|
(define-public python-pingouin
|
|
(package
|
|
(name "python-pingouin")
|
|
(version "0.5.1")
|
|
(source
|
|
;; The PyPI tarball does not contain the tests.
|
|
(origin
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/raphaelvallat/pingouin")
|
|
(commit (string-append "v" version))))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32
|
|
"10v3mwcmyc7rd2957cbmfcw66yw2y0fz7zcfyx46q8slbmd1d8d4"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
;; On loading, Pingouin uses the outdated package to check if a newer
|
|
;; version is available on PyPI. This check adds an extra dependency
|
|
;; and is irrelevant to Guix users. So, disable it.
|
|
(add-after 'unpack 'remove-outdated-check
|
|
(lambda _
|
|
(substitute* "setup.py"
|
|
(("'outdated',") ""))
|
|
(substitute* "pingouin/__init__.py"
|
|
(("^from outdated[^\n]*") "")
|
|
(("^warn_if_outdated[^\n]*") ""))))
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(invoke "pytest")))))))
|
|
(native-inputs
|
|
(list python-pytest python-pytest-cov))
|
|
(propagated-inputs
|
|
(list python-matplotlib
|
|
python-mpmath
|
|
python-numpy
|
|
python-pandas
|
|
python-pandas-flavor
|
|
python-scikit-learn
|
|
python-scipy
|
|
python-seaborn
|
|
python-statsmodels
|
|
python-tabulate))
|
|
(home-page "https://pingouin-stats.org/")
|
|
(synopsis "Statistical package for Python")
|
|
(description "Pingouin is a statistical package written in Python 3 and
|
|
based mostly on Pandas and NumPy. Its features include
|
|
|
|
@itemize
|
|
@item ANOVAs: N-ways, repeated measures, mixed, ancova
|
|
@item Pairwise post-hocs tests (parametric and non-parametric) and pairwise
|
|
correlations
|
|
@item Robust, partial, distance and repeated measures correlations
|
|
@item Linear/logistic regression and mediation analysis
|
|
@item Bayes Factors
|
|
@item Multivariate tests
|
|
@item Reliability and consistency
|
|
@item Effect sizes and power analysis
|
|
@item Parametric/bootstrapped confidence intervals around an effect size or a
|
|
correlation coefficient
|
|
@item Circular statistics
|
|
@item Chi-squared tests
|
|
@item Plotting: Bland-Altman plot, Q-Q plot, paired plot, robust correlation,
|
|
and more
|
|
@end itemize")
|
|
(license license:gpl3)))
|
|
|
|
(define-public python-pyglm
|
|
(package
|
|
(name "python-pyglm")
|
|
(version "2.5.7")
|
|
(source
|
|
(origin
|
|
;; Test files are not included in the archive in pypi.
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/Zuzu-Typ/PyGLM")
|
|
(commit version)
|
|
;; Checkout the bundled `glm` submodule. PyGLM uses the
|
|
;; currently unreleased GLM_EXT_matrix_integer feature. Can
|
|
;; maybe unbundle once glm@0.9.9.9 is released.
|
|
(recursive? #t)))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32
|
|
"08v0cgkwsf8rxscx5g9c5p1dy38rvak2fy3q6hg985if1nj6d9ks"))))
|
|
(build-system python-build-system)
|
|
(home-page "https://github.com/Zuzu-Typ/PyGLM")
|
|
(synopsis "OpenGL Mathematics library for Python")
|
|
(description "PyGLM is a Python extension library which brings the OpenGL
|
|
Mathematics (GLM) library to Python.")
|
|
(license license:zlib)))
|
|
|
|
(define-public python-distributed
|
|
(package
|
|
(name "python-distributed")
|
|
(version "2022.05.2")
|
|
(source
|
|
(origin
|
|
;; The test files are not included in the archive on pypi
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/dask/distributed")
|
|
(commit version)))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32
|
|
"009jrlk7kmazrd3nkl217cl3x5ddg7kw9mqdgq1z9knv5h1rm8qv"))
|
|
;; Delete bundled copy of python-versioneer.
|
|
(snippet '(delete-file "versioneer.py"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
'(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'versioneer
|
|
(lambda _
|
|
(invoke "versioneer" "install")))
|
|
(add-after 'unpack 'fix-references
|
|
(lambda* (#:key outputs #:allow-other-keys)
|
|
(substitute* '("distributed/comm/tests/test_ucx_config.py"
|
|
"distributed/tests/test_client.py"
|
|
"distributed/tests/test_queues.py"
|
|
"distributed/tests/test_variable.py"
|
|
"distributed/cli/tests/test_tls_cli.py"
|
|
"distributed/cli/tests/test_dask_spec.py"
|
|
"distributed/cli/tests/test_dask_worker.py"
|
|
"distributed/cli/tests/test_dask_scheduler.py")
|
|
(("\"dask-scheduler\"")
|
|
(format #false "\"~a/bin/dask-scheduler\""
|
|
(assoc-ref outputs "out")))
|
|
(("\"dask-worker\"")
|
|
(format #false "\"~a/bin/dask-worker\""
|
|
(assoc-ref outputs "out"))))))
|
|
;; ERROR: distributed==2022.5.2
|
|
;; ContextualVersionConflict (locket 0.2.0
|
|
;; (/gnu/store/...-python-locket-0.2.0/lib/python3.9/site-packages),
|
|
;; Requirement.parse('locket>=1.0.0'), {'distributed'})
|
|
(delete 'sanity-check)
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(setenv "DISABLE_IPV6" "1")
|
|
;; The integration tests are all problematic to some
|
|
;; degree. They either require network access or some
|
|
;; other setup. We only run the tests in
|
|
;; distributed/tests.
|
|
(for-each (lambda (dir)
|
|
(delete-file-recursively
|
|
(string-append "distributed/" dir "/tests")))
|
|
(list "cli" "comm" "dashboard" "deploy" "diagnostics"
|
|
"http" "http/scheduler" "http/worker"
|
|
"protocol" "shuffle"))
|
|
(invoke "python" "-m" "pytest" "-vv" "distributed"
|
|
"-m"
|
|
(string-append "not slow"
|
|
" and not flaky"
|
|
" and not gpu"
|
|
" and not ipython"
|
|
" and not avoid_ci")
|
|
"-k"
|
|
(string-append
|
|
;; These fail because they require network access,
|
|
;; specifically access to 8.8.8.8.
|
|
"not "
|
|
(string-join
|
|
(list
|
|
"TestClientSecurityLoader.test_security_loader"
|
|
"test_BatchedSend"
|
|
"test_allowed_failures_config"
|
|
"test_async_context_manager"
|
|
"test_async_with"
|
|
"test_client_repr_closed_sync"
|
|
"test_close_closed"
|
|
"test_close_fast_without_active_handlers"
|
|
"test_close_grace_period_for_handlers"
|
|
"test_close_loop_sync"
|
|
"test_close_properly"
|
|
"test_close_twice"
|
|
"test_compression"
|
|
"test_connection_pool"
|
|
"test_connection_pool_close_while_connecting"
|
|
"test_connection_pool_detects_remote_close"
|
|
"test_connection_pool_outside_cancellation"
|
|
"test_connection_pool_remove"
|
|
"test_connection_pool_respects_limit"
|
|
"test_connection_pool_tls"
|
|
"test_counters"
|
|
"test_dashboard_host"
|
|
"test_dashboard_link_cluster"
|
|
"test_dashboard_link_inproc"
|
|
"test_deserialize_error"
|
|
"test_dont_override_default_get"
|
|
"test_errors"
|
|
"test_fail_to_pickle_target_2"
|
|
"test_file_descriptors_dont_leak"
|
|
"test_finished"
|
|
"test_get_client_functions_spawn_clusters"
|
|
"test_host_uses_scheduler_protocol"
|
|
"test_identity_inproc"
|
|
"test_identity_tcp"
|
|
"test_large_packets_inproc"
|
|
"test_locked_comm_drop_in_replacement"
|
|
"test_locked_comm_intercept_read"
|
|
"test_locked_comm_intercept_write"
|
|
"test_multiple_listeners"
|
|
"test_no_dangling_asyncio_tasks"
|
|
"test_plugin_exception"
|
|
"test_plugin_internal_exception"
|
|
"test_plugin_multiple_exceptions"
|
|
"test_ports"
|
|
"test_preload_import_time"
|
|
"test_queue_in_task"
|
|
"test_quiet_client_close"
|
|
"test_rebalance_sync"
|
|
"test_repr_localcluster"
|
|
"test_require_encryption"
|
|
"test_rpc_default"
|
|
"test_rpc_inproc"
|
|
"test_rpc_message_lifetime_default"
|
|
"test_rpc_message_lifetime_inproc"
|
|
"test_rpc_message_lifetime_tcp"
|
|
"test_rpc_serialization"
|
|
"test_rpc_tcp"
|
|
"test_rpc_tls"
|
|
"test_rpc_with_many_connections_inproc"
|
|
"test_rpc_with_many_connections_tcp"
|
|
"test_scheduler_file"
|
|
"test_security_dict_input_no_security"
|
|
"test_security_loader"
|
|
"test_security_loader_ignored_if_explicit_security_provided"
|
|
"test_security_loader_ignored_if_returns_none"
|
|
"test_send_after_stream_start"
|
|
"test_send_before_close"
|
|
"test_send_before_start"
|
|
"test_send_recv_args"
|
|
"test_send_recv_cancelled"
|
|
"test_sending_traffic_jam"
|
|
"test_serializers"
|
|
"test_server"
|
|
"test_server_comms_mark_active_handlers"
|
|
"test_shutdown"
|
|
"test_shutdown_localcluster"
|
|
"test_teardown_failure_doesnt_crash_scheduler"
|
|
"test_threadpoolworkers_pick_correct_ioloop"
|
|
"test_tls_listen_connect"
|
|
"test_tls_temporary_credentials_functional"
|
|
"test_variable_in_task"
|
|
"test_worker_preload_text"
|
|
"test_worker_uses_same_host_as_nanny")
|
|
" and not ")
|
|
|
|
;; These fail because it doesn't find dask[distributed]
|
|
" and not test_quiet_close_process"
|
|
|
|
;; This one fails because of a silly assert failure:
|
|
;; '2022.05.2' == '2022.5.2'
|
|
" and not test_version"
|
|
" and not test_git_revision"
|
|
|
|
;; Recursion stack failure. No idea what they
|
|
;; expected to happen.
|
|
" and not test_stack_overflow"
|
|
|
|
;; These tests are rather flaky
|
|
" and not test_quiet_quit_when_cluster_leaves"
|
|
" and not multiple_clients_restart"))))))))
|
|
(propagated-inputs
|
|
(list python-click
|
|
python-cloudpickle
|
|
python-cryptography
|
|
python-dask
|
|
python-msgpack
|
|
python-psutil
|
|
python-pyyaml
|
|
python-setuptools
|
|
python-sortedcontainers
|
|
python-tblib
|
|
python-toolz
|
|
python-tornado-6
|
|
python-urllib3
|
|
python-zict))
|
|
(native-inputs
|
|
(list python-pytest
|
|
python-pytest-timeout
|
|
python-flaky
|
|
python-versioneer))
|
|
(home-page "https://distributed.dask.org")
|
|
(synopsis "Distributed scheduler for Dask")
|
|
(description "Dask.distributed is a lightweight library for distributed
|
|
computing in Python. It extends both the @code{concurrent.futures} and
|
|
@code{dask} APIs to moderate sized clusters.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-modin
|
|
(package
|
|
(name "python-modin")
|
|
(version "0.15.1")
|
|
(source
|
|
(origin
|
|
;; The archive on pypi does not include all required files.
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/modin-project/modin")
|
|
(commit version)))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32
|
|
"0nf2pdqna2vn7vq7q7b51f3cfbrxfn77pyif3clibjsxzvfm9k03"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases
|
|
(modify-phases %standard-phases
|
|
(add-after 'unpack 'make-files-writable
|
|
(lambda _
|
|
(for-each make-file-writable (find-files "."))))
|
|
(add-after 'unpack 'loosen-requirements
|
|
(lambda _
|
|
(substitute* "setup.py"
|
|
;; Don't depend on a specific version of Pandas.
|
|
(("pandas==")
|
|
"pandas>="))))
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(setenv "MODIN_ENGINE" "dask")
|
|
(invoke "python" "-m" "pytest"
|
|
"modin/pandas/test/test_concat.py")
|
|
(setenv "MODIN_ENGINE" "python")
|
|
(invoke "python" "-m" "pytest"
|
|
"modin/pandas/test/test_concat.py")))))))
|
|
(propagated-inputs
|
|
(list python-cloudpickle
|
|
python-dask
|
|
python-distributed
|
|
python-numpy
|
|
python-packaging
|
|
python-pandas))
|
|
(native-inputs
|
|
(list python-coverage
|
|
python-jinja2
|
|
python-lxml
|
|
python-matplotlib
|
|
python-msgpack
|
|
python-openpyxl
|
|
python-psutil
|
|
python-pyarrow
|
|
python-pytest
|
|
python-pytest-benchmark
|
|
python-pytest-cov
|
|
python-pytest-xdist
|
|
python-scipy
|
|
python-sqlalchemy
|
|
python-tables
|
|
python-tqdm
|
|
python-xarray
|
|
python-xlrd))
|
|
(home-page "https://github.com/modin-project/modin")
|
|
(synopsis "Make your pandas code run faster")
|
|
(description
|
|
"Modin uses Ray or Dask to provide an effortless way to speed up your
|
|
pandas notebooks, scripts, and libraries. Unlike other distributed DataFrame
|
|
libraries, Modin provides seamless integration and compatibility with existing
|
|
pandas code.")
|
|
(license license:asl2.0)))
|
|
|
|
(define-public python-numpy-groupies
|
|
(package
|
|
(name "python-numpy-groupies")
|
|
(version "0.9.14")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "numpy_groupies" version))
|
|
(sha256
|
|
(base32 "000qz0z78rs3l6y0dd2vzvd2lx3mczm2762whwsdnhz6c35axdq1"))))
|
|
(build-system python-build-system)
|
|
(native-inputs
|
|
(list python-pytest
|
|
python-pytest-runner
|
|
python-numba
|
|
python-numpy))
|
|
(home-page "https://github.com/ml31415/numpy-groupies")
|
|
(synopsis "Tools for group-indexing operations: aggregated sum and more")
|
|
(description
|
|
"This package provides optimized tools for group-indexing operations:
|
|
aggregated sum and more.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-pyvista
|
|
(package
|
|
(name "python-pyvista")
|
|
(version "0.35.2")
|
|
(source
|
|
;; The PyPI tarball does not contain the tests.
|
|
;; (However, we don't yet actually run the tests.)
|
|
(origin
|
|
(method git-fetch)
|
|
(uri (git-reference
|
|
(url "https://github.com/pyvista/pyvista")
|
|
(commit (string-append "v" version))))
|
|
(file-name (git-file-name name version))
|
|
(sha256
|
|
(base32 "1qmxrhqm3ag736yb761jy1himwlr3p676xyqbry61h97dj11n6sq"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs
|
|
(list python-appdirs
|
|
python-imageio
|
|
python-matplotlib
|
|
python-meshio
|
|
python-numpy
|
|
python-pillow
|
|
python-scooby
|
|
vtk))
|
|
(arguments
|
|
'(#:phases
|
|
(modify-phases %standard-phases
|
|
;; Disable tests for now because they require several modules
|
|
;; currently unpackaged in Guix.
|
|
(delete 'check)
|
|
;; Disable the sanity check, which fails with the following error:
|
|
;;
|
|
;; ...checking requirements: ERROR: pyvista==0.34.0 DistributionNotFound(Requirement.parse('vtk'), {'pyvista'})
|
|
(delete 'sanity-check))))
|
|
(home-page "https://docs.pyvista.org/")
|
|
(synopsis "3D plotting and mesh analysis through VTK")
|
|
(description
|
|
"PyVista is...
|
|
|
|
@itemize
|
|
@item @emph{Pythonic VTK}: a high-level API to the Visualization
|
|
Toolkit (VTK);
|
|
@item mesh data structures and filtering methods for spatial datasets;
|
|
@item 3D plotting made simple and built for large/complex data geometries.
|
|
@end itemize
|
|
|
|
This package provides a Pythonic, well-documented interface exposing VTK's
|
|
powerful visualization backend to facilitate rapid prototyping, analysis, and
|
|
visual integration of spatially referenced datasets.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-traittypes
|
|
(package
|
|
(name "python-traittypes")
|
|
(version "0.2.1")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "traittypes" version))
|
|
(sha256
|
|
(base32 "1mlv93irdrgxrhnhq3ksi9585d55bpi4mv9dha4p8gkkjiia4vxy"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
'(#:phases
|
|
(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
;; This one test fails because it doesn't raise an expected
|
|
;; exception.
|
|
(invoke "pytest" "-vv" "-k" "not test_bad_values")))))))
|
|
(propagated-inputs (list python-traitlets))
|
|
(native-inputs
|
|
(list python-numpy
|
|
python-pandas
|
|
python-nose
|
|
python-pytest
|
|
python-xarray))
|
|
(home-page "https://github.com/jupyter-widgets/traittypes")
|
|
(synopsis "Trait types for NumPy, SciPy and friends")
|
|
(description "The goal of this package is to provide a reference
|
|
implementation of trait types for common data structures used in the scipy
|
|
stack such as numpy arrays or pandas and xarray data structures. These are
|
|
out of the scope of the main traitlets project but are a common requirement to
|
|
build applications with traitlets in combination with the scipy stack.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-aplus
|
|
(package
|
|
(name "python-aplus")
|
|
(version "0.11.0")
|
|
(source
|
|
(origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "aplus" version))
|
|
(sha256
|
|
(base32 "1rznc26nlp641rn8gpdngfp79a3fji38yavqakxi35mx2da04msg"))))
|
|
(build-system python-build-system)
|
|
(home-page "https://github.com/xogeny/aplus")
|
|
(synopsis "Promises/A+ for Python")
|
|
(description "This package is an implementation of the Promises/A+
|
|
specification and test suite in Python.")
|
|
(license license:expat)))
|
|
|
|
(define-public python-climin
|
|
(package
|
|
(name "python-climin")
|
|
(version "0.1a1")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "climin" version))
|
|
(sha256
|
|
(base32
|
|
"1wpjisd5zzi5yvjff02hnxn84822k8sdxvvd33lil2x79wdb36rv"))))
|
|
(build-system python-build-system)
|
|
(native-inputs (list python-nose))
|
|
(propagated-inputs (list python-numpydoc python-numpy python-scipy))
|
|
(home-page "https://github.com/BRML/climin")
|
|
(synopsis "Optimization for machine learning")
|
|
(description
|
|
"@command{climin} is a Python package for optimization,
|
|
heavily biased to machine learning scenarios. It works on top of
|
|
@command{numpy} and (partially) @command{gnumpy}.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-paramz
|
|
(package
|
|
(name "python-paramz")
|
|
(version "0.9.5")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "paramz" version))
|
|
(sha256
|
|
(base32
|
|
"16hbh97kj6b1c2gw22rqnr3w3nqkszh9gj8vgx738gq81wf225q9"))))
|
|
(build-system python-build-system)
|
|
(propagated-inputs (list python-decorator python-numpy python-scipy
|
|
python-six))
|
|
(home-page "https://github.com/sods/paramz")
|
|
(synopsis "The Parameterization Framework")
|
|
(description
|
|
"@command{paramz} is a lightweight parameterization framework
|
|
for parameterized model creation and handling. Its features include:
|
|
|
|
@itemize
|
|
@item Easy model creation with parameters.
|
|
@item Fast optimized access of parameters for optimization routines.
|
|
@item Memory efficient storage of parameters (only one copy in memory).
|
|
@item Renaming of parameters.
|
|
@item Intuitive printing of models and parameters.
|
|
@item Gradient saving directly inside parameters.
|
|
@item Gradient checking of parameters.
|
|
@item Optimization of parameters.
|
|
@item Jupyter notebook integration.
|
|
@item Efficient storage of models, for reloading.
|
|
@item Efficient caching.
|
|
@end itemize")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-gpy
|
|
(package
|
|
(name "python-gpy")
|
|
(version "1.10.0")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "GPy" version))
|
|
(sha256
|
|
(base32
|
|
"1yx65ajrmqp02ykclhlb0n8s3bx5r0xj075swwwigiqaippr7dx2"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
`(#:phases (modify-phases %standard-phases
|
|
(add-before 'check 'remove-plotting-tests
|
|
;; These fail
|
|
(lambda _
|
|
(delete-file "GPy/testing/plotting_tests.py"))))))
|
|
(native-inputs (list python-cython python-nose python-climin))
|
|
(propagated-inputs (list python-numpy python-paramz python-scipy
|
|
python-six))
|
|
(home-page "https://sheffieldml.github.io/GPy/")
|
|
(synopsis "The Gaussian Process Toolbox")
|
|
(description
|
|
"@command{GPy} is a Gaussian Process (GP) framework written in
|
|
Python, from the Sheffield machine learning group. GPy implements a range of
|
|
machine learning algorithms based on GPs.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-deepdish
|
|
(package
|
|
(name "python-deepdish")
|
|
(version "0.3.7")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "deepdish" version))
|
|
(sha256
|
|
(base32
|
|
"1wqzwh3y0mjdyba5kfbvlamn561d3afz50zi712c7klkysz3mzva"))))
|
|
(arguments
|
|
(list #:phases #~(modify-phases %standard-phases
|
|
(add-after 'unpack 'dont-vendor-six
|
|
(lambda _
|
|
(delete-file "deepdish/six.py")
|
|
(substitute* "deepdish/io/hdf5io.py"
|
|
(("from deepdish import six") "import six"))
|
|
(substitute* "deepdish/io/ls.py"
|
|
(("from deepdish import io, six, __version__")
|
|
"from deepdish import io, __version__
|
|
import six
|
|
")))))))
|
|
(build-system python-build-system)
|
|
(native-inputs (list python-pandas))
|
|
(propagated-inputs (list python-numpy python-scipy python-six
|
|
python-tables))
|
|
(home-page "https://github.com/uchicago-cs/deepdish")
|
|
(synopsis "Python library for HDF5 file saving and loading")
|
|
(description
|
|
"Deepdish is a Python library to load and save HDF5 files.
|
|
The primary feature of deepdish is its ability to save and load all kinds of
|
|
data as HDF5. It can save any Python data structure, offering the same ease
|
|
of use as pickling or @code{numpy.save}, but with the language
|
|
interoperability offered by HDF5.")
|
|
(license license:bsd-3)))
|
|
|
|
(define-public python-opt-einsum
|
|
(package
|
|
(name "python-opt-einsum")
|
|
(version "3.3.0")
|
|
(source (origin
|
|
(method url-fetch)
|
|
(uri (pypi-uri "opt_einsum" version))
|
|
(sha256
|
|
(base32
|
|
"0jb5lia0q742d1713jk33vlj41y61sf52j6pgk7pvhxvfxglgxjr"))))
|
|
(build-system python-build-system)
|
|
(arguments
|
|
'(#:phases
|
|
(modify-phases %standard-phases
|
|
(replace 'check
|
|
(lambda* (#:key tests? #:allow-other-keys)
|
|
(when tests?
|
|
(invoke "pytest" "-vv")))))))
|
|
(propagated-inputs (list python-numpy))
|
|
(native-inputs (list python-pytest python-pytest-cov python-pytest-pep8))
|
|
(home-page "https://github.com/dgasmith/opt_einsum")
|
|
(synopsis "Optimizing numpys einsum function")
|
|
(description
|
|
"Optimized einsum can significantly reduce the overall execution time of
|
|
einsum-like expressions by optimizing the expression's contraction order and
|
|
dispatching many operations to canonical BLAS, cuBLAS, or other specialized
|
|
routines. Optimized einsum is agnostic to the backend and can handle NumPy,
|
|
Dask, PyTorch, Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as
|
|
well as potentially any library which conforms to a standard API. See the
|
|
documentation for more information.")
|
|
(license license:expat)))
|