ryan77627/guix
1
0
Fork 0
mirror of https://git.in.rschanz.org/ryan77627/guix.git synced 2024-12-25 22:08:16 -05:00
Code Issues Projects Releases Packages Wiki Activity Actions
guix/gnu/packages/python-science.scm
Sharlatan Hellseher f97c836c97
gnu: python-unyt: Fix version detection. 
* gnu/packages/python-science.scm (python-unyt): Fix version detection.
[native-inputs]: Add python-setuptools-scm.

Change-Id: I96e7d2530b15299a39911bebf62b76a9191ea91b
Signed-off-by: Andrew Tropin <andrew@trop.in>
2024-05-30 18:23:45 +04:00

3285 lines
130 KiB
Scheme
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

;;; GNU Guix --- Functional package management for GNU
;;; Copyright © 2015, 2016, 2020, 2021, 2022, 2023, 2024 Ricardo Wurmus <rekado@elephly.net>
;;; Copyright © 2015 Federico Beffa <beffa@fbengineering.ch>
;;; Copyright © 2016 Ben Woodcroft <donttrustben@gmail.com>
;;; Copyright © 2016 Hartmut Goebel <h.goebel@crazy-compilers.com>
;;; Copyright © 2016, 2022-2024 Efraim Flashner <efraim@flashner.co.il>
;;; Copyright © 2016-2020, 2022 Marius Bakke <marius@gnu.org>
;;; Copyright © 2019 Tobias Geerinckx-Rice <me@tobias.gr>
;;; Copyright © 2019, 2021, 2022, 2023, 2024 Maxim Cournoyer <maxim.cournoyer@gmail.com>
;;; Copyright © 2019 Giacomo Leidi <goodoldpaul@autistici.org>
;;; Copyright © 2020 Pierre Langlois <pierre.langlois@gmx.com>
;;; Copyright © 2020, 2021, 2022, 2023, 2024 Vinicius Monego <monego@posteo.net>
;;; Copyright © 2021 Greg Hogan <code@greghogan.com>
;;; Copyright © 2021 Roel Janssen <roel@gnu.org>
;;; Copyright © 2021 Paul Garlick <pgarlick@tourbillion-technology.com>
;;; Copyright © 2021 Arun Isaac <arunisaac@systemreboot.net>
;;; Copyright © 2021, 2023 Felix Gruber <felgru@posteo.net>
;;; Copyright © 2022 Malte Frank Gerdes <malte.f.gerdes@gmail.com>
;;; Copyright © 2022 Guillaume Le Vaillant <glv@posteo.net>
;;; Copyright © 2022 Paul A. Patience <paul@apatience.com>
;;; Copyright © 2022 Wiktor Żelazny <wzelazny@vurv.cz>
;;; Copyright © 2022 Eric Bavier <bavier@posteo.net>
;;; Copyright © 2022 Antero Mejr <antero@mailbox.org>
;;; Copyright © 2022 jgart <jgart@dismail.de>
;;; Copyright © 2023, 2024 Troy Figiel <troy@troyfigiel.com>
;;; Copyright © 2024 Sharlatan Hellseher <sharlatanus@gmail.com>
;;; Copyright © 2024 Marco Baggio <marco.baggio@mdc-berlin.de>
;;;
;;; 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 python-science)
#:use-module ((guix licenses) #:prefix license:)
#:use-module (gnu packages)
#:use-module (gnu packages base)
#:use-module (gnu packages bioinformatics)
#:use-module (gnu packages boost)
#:use-module (gnu packages build-tools)
#:use-module (gnu packages check)
#:use-module (gnu packages chemistry)
#:use-module (gnu packages cmake)
#:use-module (gnu packages cpp)
#:use-module (gnu packages crates-io)
#:use-module (gnu packages crypto)
#:use-module (gnu packages databases)
#:use-module (gnu packages digest)
#:use-module (gnu packages gcc)
#:use-module (gnu packages geo)
#:use-module (gnu packages image)
#:use-module (gnu packages image-processing)
#:use-module (gnu packages machine-learning)
#:use-module (gnu packages maths)
#:use-module (gnu packages mpi)
#:use-module (gnu packages pcre)
#:use-module (gnu packages perl)
#:use-module (gnu packages pkg-config)
#:use-module (gnu packages python)
#:use-module (gnu packages python-build)
#:use-module (gnu packages python-crypto)
#:use-module (gnu packages python-check)
#:use-module (gnu packages python-web)
#:use-module (gnu packages python-xyz)
#:use-module (gnu packages rust-apps)
#:use-module (gnu packages simulation)
#:use-module (gnu packages sphinx)
#:use-module (gnu packages statistics)
#:use-module (gnu packages time)
#:use-module (gnu packages xdisorg)
#:use-module (gnu packages xml)
#:use-module (gnu packages xorg)
#:use-module (guix packages)
#:use-module (guix gexp)
#:use-module (guix download)
#:use-module (guix git-download)
#:use-module (guix utils)
#:use-module (guix build-system cargo)
#:use-module (guix build-system python)
#:use-module (guix build-system pyproject))
(define-public python-cvxpy
(package
(name "python-cvxpy")
(version "1.4.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "cvxpy" version))
(sha256
(base32 "0lyri9j5gyg6m1bvfy1a4q2sqdy3w45lp0bxiq9as8srq347ic5i"))))
(build-system pyproject-build-system)
;; It's odd but cvxpy appears to need pybind11 at runtime according to its
;; specification. Moving pybind11 to native-inputs would break downstream
;; packages using cvxpy.
(propagated-inputs (list pybind11
python-clarabel
python-ecos
python-numpy
python-osqp
python-scipy
python-scs))
(native-inputs (list python-pytest python-setuptools))
(home-page "https://github.com/cvxpy/cvxpy")
(synopsis "DSL for modeling convex optimization problems")
(description
"This package provides a domain-specific language for modeling convex
optimization problems in Python.")
(license license:asl2.0)))
(define-public python-ecos
(package
(name "python-ecos")
(version "2.0.13")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/embotech/ecos-python")
(commit (string-append "v" version))
(recursive? #true)))
(file-name (git-file-name name version))
(sha256
(base32 "16ljq8maflfkgbw16rldg6cy14vgz2pb3b2iga60i7yzkq2ikmyw"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-scipy))
(native-inputs (list python-pytest python-setuptools python-wheel))
(home-page "https://github.com/embotech/ecos")
(synopsis "Embedded Cone Solver")
(description
"This is the Python package for ECOS: Embedded Cone Solver. ECOS is
numerical software for solving convex second-order cone programs (SOCPs).")
(license license:gpl3)))
(define-public python-osqp
(package
(name "python-osqp")
(version "0.6.5")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/osqp/osqp-python")
(commit (string-append "v" version))
(recursive? #true)))
(file-name (git-file-name name version))
(sha256
(base32 "0s1nbzkfsi2h4ji3v0k14pfcrvinakrwy4xdbz320lbaq3yb0b65"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; Some of these test failures are explained by
;; https://github.com/osqp/osqp-python/issues/121.
;; These tests require the module "vec_emosqp", which we don't have.
'(list "--ignore=src/osqp/tests/codegen_vectors_test.py"
;; These tests need "mat_emosqp".
"--ignore=src/osqp/tests/codegen_matrices_test.py"
;; These fail with accuracy differences
"--ignore=src/osqp/tests/update_matrices_test.py"
"--ignore=src/osqp/tests/feasibility_test.py"
"--ignore=src/osqp/tests/polishing_test.py"
;; This requires the nonfree MKL.
"--ignore=src/osqp/tests/mkl_pardiso_test.py")
#:phases
#~(modify-phases %standard-phases
;; It looks like the upgrade to scipy 1.12.0 only broke the test
;; suite, not the features of this library. See
;; https://github.com/osqp/osqp-python/issues/121.
(add-after 'unpack 'relax-requirements
(lambda _
(substitute* "requirements.txt"
(("scipy.*1.12.0") "scipy <= 1.12.0"))))
(add-before 'build 'set-version
(lambda _
(setenv "SETUPTOOLS_SCM_PRETEND_VERSION" #$version))))))
(propagated-inputs (list python-numpy python-qdldl python-scipy))
;; We need setuptools-scm only for the version number. Without it the
;; version number will be "0.0.0" and downstream packages will complain.
(native-inputs (list cmake-minimal python-pytest python-setuptools-scm))
(home-page "https://osqp.org/")
(synopsis "OSQP: operator splitting QP solver")
(description "The OSQP (Operator Splitting Quadratic Program) solver is a
numerical optimization package.")
(license license:asl2.0)))
(define-public python-qdldl
(package
(name "python-qdldl")
(version "0.1.7.post2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "qdldl" version))
(sha256
(base32 "1lspam0k8gnw1yglqxvdv350fq00nkgdfmkizmx7bk0hxjjkj5ab"))))
(build-system pyproject-build-system)
(native-inputs (list cmake-minimal pybind11))
(propagated-inputs (list python-numpy python-scipy))
(home-page "https://github.com/oxfordcontrol/qdldl-python/")
(synopsis "QDLDL LDL factorization routine")
(description "This package provides a Python interface to the QDLDL LDL
factorization routine for quasi-definite linear system.")
(license license:asl2.0)))
(define-public python-scipy
(package
(name "python-scipy")
(version "1.12.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "scipy" version))
(sha256
(base32 "18rn15wg3lp58z204fbjjhy0h79c53yg3c4qqs9h3liniamspxab"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
;; Step out of the source directory to avoid interference.
(with-directory-excursion "/tmp"
(invoke "python" "-c"
(string-append
"import scipy; scipy.test('fast', parallel="
(number->string (parallel-job-count))
", verbose=2)"))))))
(add-after 'check 'install-doc
(lambda* (#:key outputs #:allow-other-keys)
;; FIXME: Documentation cannot be built because it requires
;; a newer version of pydata-sphinx-theme, which currently
;; cannot build without internet access:
;; <https://github.com/pydata/pydata-sphinx-theme/issues/628>.
;; Keep the phase for easy testing.
(let ((sphinx-build (false-if-exception
(search-input-file input "bin/sphinx-build"))))
(if sphinx-build
(let* ((doc (assoc-ref outputs "doc"))
(data (string-append doc "/share"))
(docdir (string-append
data "/doc/"
#$(package-name this-package) "-"
#$(package-version this-package)))
(html (string-append docdir "/html")))
(with-directory-excursion "doc"
;; Build doc.
(invoke "make" "html"
;; Building the documentation takes a very long time.
;; Parallelize it.
(string-append "SPHINXOPTS=-j"
(number->string (parallel-job-count))))
;; Install doc.
(mkdir-p html)
(copy-recursively "build/html" html)))
(format #t "sphinx-build not found, skipping~%"))))))))
(propagated-inputs
(append
(if (supported-package? python-jupytext) ; Depends on pandoc.
(list python-jupytext)
'())
(list python-matplotlib
python-mpmath
python-mypy
python-numpy
python-numpydoc
python-pydata-sphinx-theme
python-pydevtool
python-pythran
python-rich-click
python-sphinx
python-threadpoolctl
python-typing-extensions)))
(inputs (list openblas pybind11-2.10))
(native-inputs
(list gfortran
;; XXX: Adding gfortran shadows GCC headers, causing a compilation
;; failure. Somehow also providing GCC works around it ...
gcc
meson-python
pkg-config
python-click
python-cython-0.29.35
python-doit
python-hypothesis
python-pooch
python-pycodestyle
python-pydevtool
python-pytest
python-pytest-cov
python-pytest-timeout
python-pytest-xdist))
(home-page "https://scipy.org/")
(synopsis "The Scipy library provides efficient numerical routines")
(description "The SciPy library is one of the core packages that make up
the SciPy stack. It provides many user-friendly and efficient numerical
routines such as routines for numerical integration and optimization.")
(license license:bsd-3)))
(define-public python-scikit-allel
(package
(name "python-scikit-allel")
(version "1.3.5")
(source
(origin
(method url-fetch)
(uri (pypi-uri "scikit-allel" version))
(sha256
(base32 "1vg88ng6gd175gzk39iz1drxig5l91dyx398w2kbw3w8036zv8gj"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-k"
(string-append
;; AttributeError: 'Dataset' object has no attribute 'asstr'
"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"
;; Does not work with recent hmmlearn
" and not test_roh_mhmm_0pct"
" and not test_roh_mhmm_100pct"))
#:phases
'(modify-phases %standard-phases
(add-before 'check 'build-ext
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"))))))
(propagated-inputs
(list python-dask
python-numpy))
(native-inputs
(list python-cython
;; The following are all needed for the tests
htslib
python-h5py
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-scikit-build-core
(package
(name "python-scikit-build-core")
(version "0.9.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "scikit_build_core" version))
(sha256
(base32 "146k3w3kcamyyqassmsmp6h4f5lb3cdqnbjjcbf0jm1s8wz1279l"))))
(build-system pyproject-build-system)
;; Tests are aborted with the admonition: "setup.py install is
;; deprecated. Use build and pip and other standards-based tools."
(arguments (list #:tests? #false))
(propagated-inputs (list python-exceptiongroup
python-importlib-metadata
python-importlib-resources
python-packaging
python-pathspec
python-tomli
python-typing-extensions))
(native-inputs (list pybind11
python-pypa-build
python-cattrs
python-fastjsonschema
python-hatch-fancy-pypi-readme
python-hatch-vcs
python-hatchling
python-numpy
python-pip
python-pytest
python-rich
python-setuptools
python-setuptools-scm
python-virtualenv
python-wheel))
(home-page "https://github.com/scikit-build/scikit-build-core")
(synopsis "Build backend for CMake based projects")
(description "Scikit-build-core is a build backend for Python that uses
CMake to build extension modules. It has a simple yet powerful static
configuration system in pyproject.toml, and supports almost unlimited
flexibility via CMake. It was initially developed to support the demanding
needs of scientific users, but can build any sort of package that uses
CMake.")
(license license:asl2.0)))
(define-public python-scikit-fem
(package
(name "python-scikit-fem")
(version "9.0.1")
(source (origin
(method git-fetch) ; no tests in PyPI
(uri (git-reference
(url "https://github.com/kinnala/scikit-fem")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"1r1c88rbaa7vjfnljbzx8paf36yzpy33bragl99ykn6i2srmjrd4"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-meshio python-numpy python-scipy))
(native-inputs
(list python-autograd
python-pyamg
python-pytest
python-shapely))
(home-page "https://scikit-fem.readthedocs.io/en/latest/")
(synopsis "Library for performing finite element assembly")
(description
"@code{scikit-fem} is a library for performing finite element assembly.
Its main purpose is the transformation of bilinear forms into sparse matrices
and linear forms into vectors.")
(license license:bsd-3)))
(define-public python-scikit-fuzzy
(package
(name "python-scikit-fuzzy")
(version "0.4.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "scikit-fuzzy" version))
(sha256
(base32 "0bp1n771fj44kdp7a00bcvfwirvv2rc803b7g6yf3va7v0j29c8s"))))
(build-system python-build-system)
(arguments '(#:tests? #f)) ;XXX: not compatible with newer numpy.testing
(native-inputs
(list python-nose))
(propagated-inputs
(list python-networkx python-numpy python-scipy))
(home-page "https://github.com/scikit-fuzzy/scikit-fuzzy")
(synopsis "Fuzzy logic toolkit for SciPy")
(description
"This package implements many useful tools for projects involving fuzzy
logic, also known as grey logic.")
(license license:bsd-3)))
(define-public python-scikit-image
(package
(name "python-scikit-image")
(version "0.23.2")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/scikit-image/scikit-image")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1bc8i57sjk44vd9k1ilr6fpvfq1zbq9yfi22lz22k26mzrlisym3"))))
(build-system pyproject-build-system)
(arguments
(list
;; Disable flaky test
#:test-flags #~(list "-k" "not test_ellipse_parameter_stability")
#:phases
#~(modify-phases %standard-phases
(add-before 'build 'change-home-dir
(lambda _
;; Change from /homeless-shelter to /tmp for write permission.
(setenv "HOME" "/tmp")))
(replace 'check
(lambda* (#:key tests? test-flags #:allow-other-keys)
(when tests?
(with-directory-excursion "/tmp"
(apply invoke "pytest" "-v" "--doctest-modules"
(append test-flags (list #$output))))))))))
;; See requirements/ for the list of build and run time requirements.
;; NOTE: scikit-image has an optional dependency on python-pooch, however
;; propagating it would enable many more tests that require online data.
(propagated-inputs
(list python-cloudpickle
python-dask
python-imageio
python-lazy-loader
python-matplotlib
python-networkx
python-numpy
python-pillow
python-pythran
python-pywavelets
python-scipy
python-tifffile))
(native-inputs
(list meson-python
python-cython
python-numpydoc
python-packaging
python-pytest
python-pytest-localserver
python-wheel))
(home-page "https://scikit-image.org/")
(synopsis "Image processing in Python")
(description
"Scikit-image is a collection of algorithms for image processing.")
(license license:bsd-3)))
(define-public python-scikit-opt
(package
(name "python-scikit-opt")
(version "0.6.6")
(source
(origin
(method url-fetch)
(uri (pypi-uri "scikit-opt" version))
(sha256
(base32 "0ycqizgsj7q57asc1bphzhf1fx9zqn0vx5rli7q541bas64hfqiy"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-pytorch python-scipy))
(home-page "https://github.com/guofei9987/scikit-opt")
(synopsis "Swarm intelligence algorithms in Python")
(description
"Scikit-opt (or sko) is a Python module implementing @dfn{swarm
intelligence} algorithms: genetic algorithm, particle swarm optimization,
simulated annealing, ant colony algorithm, immune algorithm, artificial fish
swarm algorithm.")
(license license:expat)))
(define-public python-scikit-optimize
(package
(name "python-scikit-optimize")
(version "0.9.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/scikit-optimize/scikit-optimize")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0hsq6pmryimxc275yrcy4bv217bx7ma6rz0q6m4138bv4zgq18d1"))
(patches
;; These are for compatibility with more recent versions of
;; numpy and scikit-learn.
(search-patches "python-scikit-optimize-1148.patch"
"python-scikit-optimize-1150.patch"))
(modules '((guix build utils)))
(snippet
;; Since scikit-learn 1.3 max_features no longer supports
;; 'auto', which is identical to 'sqrt'
'(substitute* '("skopt/learning/forest.py"
"skopt/learning/tests/test_forest.py")
(("max_features=['\"]auto['\"]")
"max_features='sqrt'")))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-joblib
python-matplotlib
python-numpy
python-pyaml
python-scikit-learn
python-scipy))
(native-inputs
(list python-pytest))
(home-page "https://scikit-optimize.github.io/")
(synopsis "Sequential model-based optimization toolbox")
(description "Scikit-Optimize, or @code{skopt}, is a simple and efficient
library to minimize (very) expensive and noisy black-box functions. It
implements several methods for sequential model-based optimization.
@code{skopt} aims to be accessible and easy to use in many contexts.")
(license license:bsd-3)))
(define-public python-tdda
(package
(name "python-tdda")
(version "2.0.9")
(source
(origin
(method url-fetch)
(uri (pypi-uri "tdda" version))
(sha256
(base32 "1xs91s8b7cshjcqw88qsrjh10xly799k5rf2ycawqfz2mw8sy3br"))))
(build-system pyproject-build-system)
(arguments
'(#:phases (modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "tdda" "test")))))))
(native-inputs (list python-numpy python-pandas))
(home-page "https://www.stochasticsolutions.com")
(synopsis "Test-driven data analysis library for Python")
(description
"The TDDA Python module provides command-line and Python API support
for the overall process of data analysis, through tools that peform
reference testing, constraint discovery for data, automatic inference
of regular expressions from text data and automatic test generation.")
(license license:expat))) ; MIT License
(define-public python-trimesh
(package
(name "python-trimesh")
(version "4.0.10")
(source
(origin
(method git-fetch) ; no tests in PyPI
(uri (git-reference
(url "https://github.com/mikedh/trimesh")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32 "0ry04qaw0pb3hkxv4gmna87jwk97aqangd21wbr2dr4xshmkbyyb"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
#~(list "-k" (string-append
;; XXX: When more optional modules are available review
;; disabled tests once again.
;;
;; Disable tests requiring optional, not packed modules.
"not test_material_round"
" and not test_bezier_example"
" and not test_discrete"
" and not test_dxf"
" and not test_layer"
" and not test_multi_nodupe"
" and not test_obj_roundtrip"
" and not test_roundtrip"
" and not test_scene"
" and not test_slice_onplane"
" and not test_svg"
" and not test_svg"))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'fix-build
(lambda _
(substitute* "trimesh/resources/templates/blender_boolean.py.tmpl"
(("\\$MESH_PRE")
"'$MESH_PRE'")))))))
(native-inputs
(list python-coveralls
python-pyinstrument
python-pytest
python-pytest-cov))
(propagated-inputs
(list python-chardet
python-colorlog
python-httpx
python-jsonschema
python-lxml
python-networkx
python-numpy
python-pillow
;; python-pycollada ; not packed yet, optional
;; python-pyglet ; not packed yet, optional
python-requests
python-rtree
python-scipy
python-setuptools
python-shapely
;; python-svg-path ; not packed yet, optional
python-sympy
python-xxhash))
(home-page "https://github.com/mikedh/trimesh")
(synopsis "Python library for loading and using triangular meshes")
(description
"Trimesh is a pure Python library for loading and using triangular meshes
with an emphasis on watertight surfaces. The goal of the library is to provide
a full featured and well tested Trimesh object which allows for easy
manipulation and analysis, in the style of the Polygon object in the Shapely
library.")
(license license:expat)))
(define-public python-meshzoo
(package
(name "python-meshzoo")
(version "0.9.4")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/diego-hayashi/meshzoo")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "107byfppbq16fqyp2hw7ydcvvahspzq0hzvlvzqg2zxi1aigbr68"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-numpy))
(native-inputs (list python-flit-core python-matplotlib python-pytest))
(home-page "https://github.com/diego-hayashi/meshzoo")
(synopsis "Mesh generator for simple geometries")
(description
"@code{meshzoo} is a mesh generator for finite element or finite
volume computations for simple domains like regular polygons, disks,
spheres, cubes, etc.")
(license license:gpl3+)))
(define-public python-pyamg
(package
(name "python-pyamg")
(version "5.0.1")
(source (origin
(method url-fetch)
(uri (pypi-uri "pyamg" version))
(modules '((guix build utils)))
(snippet
;; Delete autogenerated files, regenerate in a phase.
#~(begin
(for-each
(lambda (file)
(delete-file (string-append "pyamg/amg_core/" file)))
'("air_bind.cpp"
"evolution_strength_bind.cpp"
"graph_bind.cpp"
"krylov_bind.cpp"
"linalg_bind.cpp"
"relaxation_bind.cpp"
"ruge_stuben_bind.cpp"
"smoothed_aggregation_bind.cpp"
"tests/bind_examples_bind.cpp"))))
(sha256
(base32
"0l3dliwynxyjvbgpmi2k8jqvkkw6fc00c8w69h6swhrkfh0ql12z"))))
(arguments
(list
#:test-flags
;; Test installed package in order to find C++ modules.
#~(list "--pyargs" "pyamg.tests")
#:phases
#~(modify-phases %standard-phases
;; Regenerate the autogenerated files.
(add-after 'unpack 'amg-core-bind-them
(lambda _
;; bindthem.py heavily depends on location to produce *_bind.cpp
;; file, make it available in tests as well.
(copy-file "pyamg/amg_core/bindthem.py"
"pyamg/amg_core/tests/bindthem.py")
(with-directory-excursion "pyamg/amg_core"
(substitute* "bindthem.py"
(("/usr/bin/env python3") (which "python3")))
(invoke "sh" "generate.sh"))
(with-directory-excursion "pyamg/amg_core/tests"
(invoke "python" "bindthem.py" "bind_examples.h")))))))
(build-system pyproject-build-system)
(native-inputs
(list pybind11
python-cppheaderparser
python-pytest
python-pyyaml
python-setuptools-scm))
(propagated-inputs (list python-numpy python-scipy))
(home-page "https://github.com/pyamg/pyamg")
(synopsis "Algebraic Multigrid Solvers in Python")
(description "PyAMG is a Python library of Algebraic Multigrid
(AMG) solvers. It features implementations of:
@itemize
@item Ruge-Stuben (RS) or Classical AMG
@item AMG based on Smoothed Aggregation (SA)
@item Adaptive Smoothed Aggregation (αSA)
@item Compatible Relaxation (CR)
@item Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.
@end itemize")
(license license:expat)))
(define-public python-tspex
(package
(name "python-tspex")
(version "0.6.2")
(source (origin
(method url-fetch)
(uri (pypi-uri "tspex" version))
(sha256
(base32
"0x64ki1nzhms2nb8xpng92bzh5chs850dvapr93pkg05rk22m6mv"))))
(build-system python-build-system)
(propagated-inputs
(list python-matplotlib python-numpy python-pandas python-xlrd))
(home-page "https://apcamargo.github.io/tspex/")
(synopsis "Calculate tissue-specificity metrics for gene expression")
(description
"This package provides a Python package for calculating
tissue-specificity metrics for gene expression.")
(license license:gpl3+)))
(define-public python-pandas-1
(package
(name "python-pandas")
(version "1.5.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "pandas" version))
(sha256
(base32 "1cdhngylzh352wx5s3sjyznn7a6kmjqcfg97hgqm5h3yb9zgv8vl"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "--pyargs" "pandas"
"-n" (number->string (parallel-job-count))
"-m" "not slow and not network and not db"
"-k"
(string-append
;; TODO: Missing input
"not TestS3"
" and not s3"
;; No module named 'pandas.io.sas._sas'
" and not test_read_expands_user_home_dir"
" and not test_read_non_existent"
;; Unknown failures
" and not test_switch_options"
;; Crashes
" and not test_bytes_exceed_2gb"
;; get_subplotspec() returns None; possibly related to
;; https://github.com/pandas-dev/pandas/issues/54577
" and not test_plain_axes"
;; This test fails when run with pytest-xdist
;; (see https://github.com/pandas-dev/pandas/issues/39096).
" and not test_memory_usage"))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'patch-build-system
(lambda _
(substitute* "pyproject.toml"
;; Not all data files are distributed with the tarball.
(("--strict-data-files ") "")
;; Unknown property "asyncio_mode"
(("asyncio_mode = \"strict\"") ""))))
(add-after 'unpack 'patch-which
(lambda* (#:key inputs #:allow-other-keys)
(substitute* "pandas/io/clipboard/__init__.py"
(("^WHICH_CMD = .*")
(string-append "WHICH_CMD = \""
(search-input-file inputs "/bin/which")
"\"\n")))))
(add-before 'check 'prepare-x
(lambda _
(system "Xvfb &")
(setenv "DISPLAY" ":0")
;; xsel needs to write a log file.
(setenv "HOME" "/tmp")))
;; The compiled libraries are only in the output at this point,
;; but they are needed to run tests.
;; FIXME: This should be handled by the pyargs pytest argument,
;; but is not for some reason.
(add-before 'check 'pre-check
(lambda* (#:key inputs outputs #:allow-other-keys)
(copy-recursively
(string-append (site-packages inputs outputs)
"/pandas/_libs")
"pandas/_libs"))))))
(propagated-inputs
(list python-jinja2
python-matplotlib
python-numpy
python-openpyxl
python-pytz
python-dateutil
python-xlrd
python-xlsxwriter))
(inputs
(list which xclip xsel))
(native-inputs
(list python-cython-0.29.35
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-pandas-2
(package
(name "python-pandas")
(version "2.1.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pandas-dev/pandas")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1v9j38bvw739csdfl98ga6fqjdm61q3p5a2l7h364kg925nbc9r1"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
#~(list "--pyargs" "pandas"
;; "--exitfirst"
;; FIXME "-n" (number->string (parallel-job-count))
"-m" "not slow and not network and not db"
"-k" (string-append
"not test_git_version"
" and not test_show_versions_console"
;; Not testing ~ expansion.
" and not test_expand_user"
" and not test_get_handle_with_path"
;; 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]
" and 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"
" and not test_parsing_tzlocal_deprecated"))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'version-set-by-guix
(lambda _
(with-output-to-file "_version.py"
(lambda _
(display
(string-append "__version__ = \""
#$(package-version this-package)
"\""))))))
(add-before 'check 'prepare-x
(lambda _
(system "Xvfb &")
(setenv "DISPLAY" ":0")
(setenv "HOME" ".")
;; Skip tests that require lots of resources.
(setenv "PANDAS_CI" "1")))
(add-after 'unpack 'patch-which
(lambda _
(substitute* "pandas/io/clipboard/__init__.py"
(("^WHICH_CMD = .*")
(string-append "WHICH_CMD = \""
#$(this-package-input "which")
"/bin/which\"\n")))))
;; The compiled libraries are only in the output at this point,
;; but they are needed to run tests.
;; FIXME: This should be handled by the pyargs pytest argument,
;; but is not for some reason.
(add-before 'check 'pre-check
(lambda _
(copy-recursively
(string-append #$output
"/lib/python3.10/site-packages/pandas/_libs")
"pandas/_libs"))))))
(propagated-inputs
(list python-dateutil
python-jinja2
python-matplotlib
python-numpy
python-openpyxl
python-pytz
python-tzdata
python-xlrd
python-xlsxwriter))
(inputs
(list which xclip xsel))
(native-inputs
(list meson-python/newer
python-beautifulsoup4
python-cython-0.29.35
python-html5lib
python-lxml
python-matplotlib
python-openpyxl
python-pytest-asyncio
python-pytest-next
python-pytest-localserver
python-pytest-mock
python-pytest-xdist
python-versioneer
;; 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-pandas python-pandas-2)
(define-public python-pandas-stubs
(package
(name "python-pandas-stubs")
;; The versioning follows that of Pandas and uses the date of the
;; python-pandas-stubs release.
(version "2.1.1.230928")
(source
(origin
;; No tests in the PyPI tarball.
(method git-fetch)
(uri (git-reference
(url "https://github.com/pandas-dev/pandas-stubs")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "13b6wcwf9ybxf492w1l8qqf2bcgch21xds5r88pfkmrvqhxwfpyr"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags #~(list "-k"
(string-append
;; The python-pyarrow package in Guix is built
;; with ORC integration, but these tests fail with
;; an abort in ORC because a timezone file is not
;; in the expected location:
;; https://github.com/apache/arrow/issues/40633
"not test_orc"
" and not test_orc_path"
" and not test_orc_buffer"
" and not test_orc_columns"
" and not test_orc_bytes"
" and not test_all_read_without_lxml_dtype_backend"
;; Apparently "numpy.bool_" is not the same as the
;; expected "bool".
" and not test_timedelta_cmp"
" and not test_timedelta_cmp_rhs"
" and not test_timestamp_cmp"
" and not test_timestamp_eq_ne_rhs"))
#:phases
'(modify-phases %standard-phases
;; We cannot yet upgrade numpy to 1.26 because numba needs numpy
;; >1.24.
(add-after 'unpack 'relax-requirements
(lambda _
(substitute* "pyproject.toml"
(("numpy = \\{ version = \">=1.26.0\", python = \"<3.13\" \\}")
"numpy = { version = \">=1.23.0\", python = \"<3.13\" }"))))
(add-before 'check 'prepare-x
(lambda _
(system "Xvfb &")
(setenv "DISPLAY" ":0")
;; xsel needs to write a log file.
(setenv "HOME" (getcwd)))))))
(propagated-inputs (list python-types-pytz))
;; Add python-fastparquet to native inputs once it has been packaged. Its
;; tests will be skipped for now.
(native-inputs (list python-lxml
python-matplotlib
python-odfpy
python-pandas
python-poetry-core
python-pyarrow
python-pyreadstat
python-pytest
python-scipy
python-sqlalchemy
python-tables
python-tabulate
python-xarray
;; Needed to test clipboard support.
which
xclip
xorg-server-for-tests
xsel))
(home-page "https://pandas.pydata.org")
(synopsis "Type annotations for pandas")
(description
"This package contains public type stubs for @code{python-pandas},
following the convention of providing stubs in a separate package, as
specified in @acronym{PEP, Python Enhancement Proposal} 561. The stubs cover
the most typical use cases of @code{python-pandas}. In general, these stubs
are narrower than what is possibly allowed by @code{python-pandas}, but follow
a convention of suggesting best recommended practices for using
@code{python-pandas}.")
(license license:bsd-3)))
(define-public python-pandarallel
(package
(name "python-pandarallel")
(version "1.6.5")
(source
(origin
(method git-fetch) ; no tests in PyPI
(uri (git-reference
(url "https://github.com/nalepae/pandarallel/")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0r2wlxlwp4wia0vm15k4cp421mwa20k4k5g2ml01inprj8bl1p0p"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags #~(list "-n" (number->string (parallel-job-count)))))
(propagated-inputs
(list python-dill
python-pandas
python-psutil))
(native-inputs
(list python-mkdocs-material
python-numpy
python-pytest
python-pytest-cov
python-pytest-xdist))
(home-page "https://nalepae.github.io/pandarallel/")
(synopsis "Tool to parallelize Pandas operations across CPUs")
(description
"@code{pandarallel} allows any Pandas user to take advantage of their
multi-core computer, while Pandas uses only one core. @code{pandarallel} also
offers nice progress bars (available on Notebook and terminal) to get an rough
idea of the remaining amount of computation to be done.")
(license license:bsd-3)))
(define-public python-pandera
(package
(name "python-pandera")
(version "0.18.0")
(source
(origin
;; No tests in the PyPI tarball.
(method git-fetch)
(uri (git-reference
(url "https://github.com/unionai-oss/pandera")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "14b5aij5zjkwvsimg0v00qvp59mhhq7ljim4qghcn432vkg9gh47"))
(modules '((guix build utils)))
;; These tests require PySpark and Modin. We need to remove the entire
;; directory, since the conftest.py in these directories contain
;; imports. (See: https://github.com/pytest-dev/pytest/issues/7452)
(snippet '(begin
(delete-file-recursively "tests/pyspark")
(delete-file-recursively "tests/modin")))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags '(list "-k"
(string-append
;; Mypy functionality is experimental and relying
;; on pandas-stubs can lead to false
;; positives. These tests currently fail.
"not test_python_std_list_dict_generics"
" and not test_python_std_list_dict_empty_and_none"
" and not test_pandas_modules_importable"
" and not test_check_groups"))))
;; Pandera comes with a lot of extras. We test as many as possible, but do
;; not include all of them in the propagated-inputs. Currently, we have to
;; skip the pyspark and io tests due to missing packages python-pyspark
;; and python-frictionless.
(propagated-inputs (list python-hypothesis ;strategies extra
python-multimethod
python-numpy
python-packaging
python-pandas
python-pandas-stubs ;mypy extra
python-pydantic
python-scipy ;hypotheses extra
python-typeguard-4
python-typing-inspect
python-wrapt))
(native-inputs (list python-dask ;dask extra
python-fastapi ;fastapi extra
python-geopandas ;geopandas extra
python-pyarrow ;needed to run fastapi tests
python-pytest
python-pytest-asyncio
python-sphinx
python-uvicorn)) ;needed to run fastapi tests
(home-page "https://github.com/unionai-oss/pandera")
(synopsis "Perform data validation on dataframe-like objects")
(description
"@code{python-pandera} provides a flexible and expressive API for
performing data validation on dataframe-like objects to make data processing
pipelines more readable and robust. Dataframes contain information that
@code{python-pandera} explicitly validates at runtime. This is useful in
production-critical data pipelines or reproducible research settings. With
@code{python-pandera}, you can:
@itemize
@item Define a schema once and use it to validate different dataframe types.
@item Check the types and properties of columns.
@item Perform more complex statistical validation like hypothesis testing.
@item Seamlessly integrate with existing data pipelines via function decorators.
@item Define dataframe models with the class-based API with pydantic-style syntax.
@item Synthesize data from schema objects for property-based testing.
@item Lazily validate dataframes so that all validation rules are executed.
@item Integrate with a rich ecosystem of tools like @code{python-pydantic},
@code{python-fastapi} and @code{python-mypy}.
@end itemize")
(license license:expat)))
(define-public python-pyjanitor
(package
(name "python-pyjanitor")
(version "0.27.0")
(source
(origin
;; The build requires the mkdocs directory for the description in
;; setup.py. This is not included in the PyPI tarball.
(method git-fetch)
(uri (git-reference
(url "https://github.com/pyjanitor-devs/pyjanitor")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "04vsg189msv8frx4zhpcg61djl7wsfvibmz0zmiih4rvkgly2cdr"))))
(build-system pyproject-build-system)
;; Pyjanitor has an extensive test suite. For quick debugging, the tests
;; marked turtle can be skipped using "-m" "not turtle".
(arguments
(list
#:test-flags '(list
"-n" (number->string (parallel-job-count))
;; Tries to connect to the internet.
"-k" (string-append "not test_is_connected"
;; Test files are not included
" and not test_read_commandline_bad_cmd"
;; This fails due to differences in accuracy
" and not test_jitter_results")
;; Test files are not included
"--ignore=tests/io/test_read_csvs.py"
;; PySpark has not been packaged yet.
"--ignore=tests/spark/functions/test_clean_names_spark.py"
"--ignore=tests/spark/functions/test_update_where_spark.py")
#:phases
#~(modify-phases %standard-phases
;; Pandas 2.1.1 does not offer the BME frequency.
(add-after 'unpack 'pandas-compat
(lambda _
(substitute* '("tests/functions/test_select_rows.py"
"tests/functions/test_select_columns.py")
(("freq=\"BME\"") "freq=\"BM\""))))
(add-before 'check 'set-env-ci
(lambda _
;; Some tests are skipped if the JANITOR_CI_MACHINE
;; variable is not set.
(setenv "JANITOR_CI_MACHINE" "1"))))))
(propagated-inputs (list python-multipledispatch
python-natsort
python-pandas-flavor
python-scipy
;; Optional imports.
python-biopython ;biology submodule
python-unyt)) ;engineering submodule
(native-inputs (list python-pytest
python-pytest-xdist
;; Optional imports. We do not propagate them due to
;; their size.
python-numba ;speedup of joins
rdkit)) ;chemistry submodule
(home-page "https://github.com/pyjanitor-devs/pyjanitor")
(synopsis "Tools for cleaning and transforming pandas DataFrames")
(description
"@code{pyjanitor} provides a set of data cleaning routines for
@code{pandas} DataFrames. These routines extend the method chaining API
defined by @code{pandas} for a subset of its methods. Originally, this
package was a port of the R package by the same name and it is inspired by the
ease-of-use and expressiveness of the @code{dplyr} package.")
(license license:expat)))
(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-pyts
(package
(name "python-pyts")
(version "0.13.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "pyts" version))
(sha256
(base32
"00pdzfkl0b4vhfdm8zas7b904jm2hhivdwv3wcmpik7l2p1yr85c"))))
(build-system pyproject-build-system)
(propagated-inputs
(list python-joblib python-numba python-numpy
python-scikit-learn
python-scipy))
(native-inputs
(list python-pytest python-pytest-cov))
(home-page "https://github.com/johannfaouzi/pyts")
(synopsis "Python package for time series classification")
(description
"This package provides a Python package for time series classification.")
(license license:bsd-3)))
(define-public python-bottleneck
(package
(name "python-bottleneck")
(version "1.3.7")
(source
(origin
(method url-fetch)
(uri (pypi-uri "Bottleneck" version))
(sha256
(base32 "1y410r3scfhs6s1j1jpxig01qlyn2hr2izyh1qsdlsfl78vpwip1"))))
(build-system python-build-system)
(arguments
`(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(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-numpoly
(package
(name "python-numpoly")
(version "1.2.11")
(source (origin
(method git-fetch) ;; PyPI is missing some Pytest fixtures
(uri (git-reference
(url "https://github.com/jonathf/numpoly")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"01g21v91f4d66xd0bvap0n6d6485w2fnq1636gx6h2s42550rlbd"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-importlib-metadata python-numpy))
(native-inputs (list python-pytest python-sympy))
(home-page "https://numpoly.readthedocs.io/en/master/")
(synopsis "Polynomials as a numpy datatype")
(description "Numpoly is a generic library for creating, manipulating and
evaluating arrays of polynomials based on @code{numpy.ndarray objects}.")
;; Tests fail with dtype mismatches on 32-bit architectures, suggesting
;; that numpoly only supports 64 bit platforms.
(supported-systems '("x86_64-linux" "aarch64-linux" "powerpc64le-linux"))
(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-fastcluster
(package
(name "python-fastcluster")
(version "1.2.6")
(source
(origin
(method url-fetch)
(uri (pypi-uri "fastcluster" version))
(sha256
(base32 "19labbgnq85p4r4jbli2p045lgh57larhi2g2anagfxnlzpqdf5a"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy))
(native-inputs (list python-scipy))
(home-page "https://danifold.net/fastcluster.html")
(synopsis "Fast hierarchical clustering routines for R and Python")
(description "The fastcluster package implements seven common hierarchical
clustering schemes efficiently. The package is made with two interfaces to
standard software: R and Python.")
(license license:bsd-2)))
(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-einops
(package
(name "python-einops")
(version "0.6.1")
(source (origin
(method git-fetch) ;PyPI misses .ipynb files required for tests
(uri (git-reference
(url "https://github.com/arogozhnikov/einops")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"1h8p39kd7ylg99mh620xr20hg7v78x1jnj6vxwk31rlw2dmv2dpr"))))
(build-system pyproject-build-system)
(arguments
(list #:phases #~(modify-phases %standard-phases
(add-after 'unpack 'set-backend
(lambda _
;; Einops supports different backends, but we test
;; only NumPy for availability and simplicity.
(setenv "EINOPS_TEST_BACKENDS" "numpy"))))))
(native-inputs (list jupyter
python-hatchling
python-nbconvert
python-nbformat
python-parameterized
python-pytest))
(propagated-inputs (list python-numpy))
(home-page "https://einops.rocks/")
(synopsis "Tensor operations for different backends")
(description "Einops provides a set of tensor operations for NumPy and
multiple deep learning frameworks.")
(license license:expat)))
(define-public python-xarray
(package
(name "python-xarray")
(version "2023.12.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "xarray" version))
(sha256
(base32
"0cyldwchcrmbm1y7l1ry70kk8zdh7frxci3c6iwf4iyyj34dnra5"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; This needs a more recent version of python-hypothesis
'(list "--ignore=xarray/tests/test_strategies.py"
;; These are known to fail with Pandas 2
"-k"
(string-append "not test_datetime_conversion_warning"
" and not test_timedelta_conversion_warning"))))
(native-inputs
(list python-setuptools-scm python-pytest))
(propagated-inputs
(list python-numpy python-packaging python-pandas))
(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-xarray-dataclasses
(package
(name "python-xarray-dataclasses")
(version "1.7.0")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/astropenguin/xarray-dataclasses/")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "043lc1hadr5y0y16g682viiafy0hfsa7q18lqmndpyvnmcgm893z"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-typing-extensions
python-xarray))
(native-inputs (list python-pytest python-poetry-core))
(home-page "https://github.com/astropenguin/xarray-dataclasses/")
(synopsis "xarray data creation made easy by dataclass")
(description "@code{xarray-dataclasses} is a Python package that makes it
easy to create @code{xarray}'s @code{DataArray} and @code{Datase} objects that
are \"typed\" (i.e. fixed dimensions, data type, coordinates, attributes, and
name) using the Python's @code{dataclass}.")
(license license:expat)))
;; Note that this package will be folded into xarray eventually. See
;; https://github.com/pydata/xarray/issues/8572 for details.
(define-public python-xarray-datatree
(package
(name "python-xarray-datatree")
(version "0.0.14")
(source
(origin
(method url-fetch)
(uri (pypi-uri "xarray-datatree" version))
(sha256
(base32 "1x1s25s6dp1f2hck9qw8vl8hgkyy23rcwag2a9vd3w0dbgrrl5i6"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-packaging python-xarray))
;; We need setuptools-scm to correctly record the version string.
(native-inputs (list python-pytest python-setuptools-scm python-zarr))
(home-page "https://github.com/xarray-contrib/datatree")
(synopsis "Hierarchical tree-like data structures for xarray")
(description "Datatree is a prototype implementation of a tree-like
hierarchical data structure for @code{xarray}. Datatree is in the process of
being merged upstream into @code{xarray}.")
(license license:asl2.0)))
(define-public python-xarray-einstats
(package
(name "python-xarray-einstats")
(version "0.7.0")
(source (origin
(method git-fetch) ; no tests in PyPI
(uri (git-reference
(url "https://github.com/arviz-devs/xarray-einstats")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"14c424swpdginaz4pm3nmkizxy34x19q6xq3d4spx9s9031f6n3a"))))
(build-system pyproject-build-system)
(native-inputs (list python-einops python-flit-core python-numba
python-pytest))
(propagated-inputs (list python-numpy python-scipy python-xarray))
(home-page "https://einstats.python.arviz.org/en/latest/")
(synopsis "Stats, linear algebra and einops for xarray")
(description
"@code{xarray_einstats} provides wrappers around some NumPy and SciPy
functions and around einops with an API and features adapted to xarray.")
(license license:asl2.0)))
(define-public python-xarray-schema
(package
(name "python-xarray-schema")
(version "0.0.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "xarray-schema" version))
(sha256
(base32 "08194629696z98dkc74i6c9zmy1jicvd2ajb75q0lsf0i427cv4w"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy python-xarray))
(native-inputs (list python-pytest python-setuptools-scm))
(home-page "https://github.com/carbonplan/xarray-schema")
(synopsis "Schema validation for Xarray objects")
(description "This package implements schema validation for Xarray
objects.")
(license license:expat)))
(define-public python-pytensor
(package
(name "python-pytensor")
(version "2.18.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pymc-devs/pytensor")
(commit (string-append "rel-" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0qa0y13xfm6w7ry7gp0lv84c8blyg34a9ns7ynwqyhf9majq08s5"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
;; Replace version manually because pytensor uses
;; versioneer, which requires git metadata.
(add-after 'unpack 'versioneer
(lambda _
(with-output-to-file "setup.cfg"
(lambda ()
(display "\
[versioneer]
VCS = git
style = pep440
versionfile_source = pytensor/_version.py
versionfile_build = pytensor/_version.py
tag_prefix =
parentdir_prefix = pytensor-
")))
(invoke "versioneer" "install")
(substitute* "setup.py"
(("versioneer.get_version\\(\\)")
(string-append "\"" #$version "\"")))))
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(setenv "HOME" "/tmp") ; required for most tests
;; Test discovery fails, have to call pytest by hand.
;; test_tensor_basic.py file requires JAX.
(invoke "python" "-m" "pytest" "-vv"
"--ignore" "tests/link/jax/test_tensor_basic.py"
;; Skip benchmark tests.
"-k" (string-append
"not test_elemwise_speed"
" and not test_logsumexp_benchmark"
" and not test_fused_elemwise_benchmark"
" and not test_scan_multiple_output"
" and not test_vector_taps_benchmark"
" and not test_cython_performance")
;; Skip computationally intensive tests.
"--ignore" "tests/scan/"
"--ignore" "tests/tensor/"
"--ignore" "tests/sandbox/"
"--ignore" "tests/sparse/sandbox/")))))))
(native-inputs (list python-cython
python-pytest
python-pytest-mock
python-versioneer))
(propagated-inputs (list python-cons
python-etuples
python-filelock
python-logical-unification
python-minikanren
python-numba
python-numpy
python-scipy
python-typing-extensions))
(home-page "https://pytensor.readthedocs.io/en/latest/")
(synopsis
"Library for mathematical expressions in multi-dimensional arrays")
(description
"PyTensor is a Python library that allows one to define, optimize, and
efficiently evaluate mathematical expressions involving multi-dimensional
arrays. It is a fork of the Aesara library.")
(license license:bsd-3)))
(define-public python-msgpack-numpy
(package
(name "python-msgpack-numpy")
(version "0.4.8")
(source
(origin
(method url-fetch)
(uri (pypi-uri "msgpack-numpy" version))
(sha256
(base32
"0sbfanbkfs6c77np4vz0ayrwnv99bpn5xgj5fnf2yhhk0lcd6ry6"))))
(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-scs
(package
(name "python-scs")
(version "3.2.4")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/bodono/scs-python")
(commit "3.2.4")
(recursive? #true)))
(file-name (git-file-name name version))
(sha256
(base32 "06wd8m3ri0gaddl7qq6243g25zjlnh3da915b73jnrfh7sg1nqsj"))))
(build-system pyproject-build-system)
(inputs (list meson-python openblas))
(propagated-inputs (list python-numpy python-scipy))
(native-inputs
(list pkg-config
python-meson-python
python-pytest))
(home-page "https://github.com/bodono/scs-python")
(synopsis "Splitting conic solver")
(description "This package provides a Python interface for the
SCS (Splitting conic solver) library.")
(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-unyt
(package
(name "python-unyt")
(version "3.0.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "unyt" version))
(sha256
(base32 "00900bw24rxgcgwgxp9xlx0l5im96r1n5hn0r3mxvbdgc3lyyq48"))))
(build-system pyproject-build-system)
;; Astropy is an optional import, but we do not include it as it creates a
;; module cycle: astronomy->python-science->astronomy.
(propagated-inputs (list python-h5py ; optional import
python-matplotlib ; optional import
python-numpy
python-sympy))
;; Pint is optional, but we do not propagate it due to its size.
(native-inputs (list python-pint python-pytest python-setuptools-scm))
(home-page "https://unyt.readthedocs.io")
(synopsis "Library for working with data that has physical units")
(description
"@code{unyt} is a Python library working with data that has physical
units. It defines the @code{unyt.array.unyt_array} and
@code{unyt.array.unyt_quantity} classess (subclasses of NumPy’s ndarray class)
for handling arrays and scalars with units,respectively")
(license license:bsd-3)))
(define-public python-upsetplot
(package
(name "python-upsetplot")
(version "0.9.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "UpSetPlot" version))
(sha256
(base32
"14l5gcj88cclkj1mf74bcy1pxq1hgsiy27fa3vxrsk32ik1nmdwm"))))
(build-system pyproject-build-system)
(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 "0.5.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "pandas_flavor" version))
(sha256
(base32
"0473lkbdnsag3w5x65sxwjlyq0i7z938ssxqwn2cpcml282vksx1"))))
(build-system python-build-system)
(propagated-inputs
(list python-lazy-loader python-packaging python-pandas python-xarray))
(home-page "https://github.com/pyjanitor-devs/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 "0.5.4")
(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
"1j3qkgvyc31604ddl952h4hwza7schg8kwkycmxvpvx7xjj7nn68"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; This one fails due to minor differences in accuracy
'(list "-k" "not test_logistic_regression")
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'loosen-requirements
(lambda _
(substitute* '("requirements.txt" "setup.py")
;; Remove sklearn pinning since it works fine with 1.1.2:
;; https://github.com/raphaelvallat/pingouin/pull/300
(("scikit-learn<1\\.1\\.0")
"scikit-learn"))))
;; 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]*") ""))))
(add-after 'unpack 'sklearn-compatibility
(lambda _
(substitute* "pingouin/regression.py"
(("kwargs\\[\"penalty\"\\] = \"none\"")
"kwargs[\"penalty\"] = None")))))))
(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-dask-expr
(package
(name "python-dask-expr")
(version "1.0.14")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/dask/dask-expr")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0c2q8w8wl5d2hycbjp9vavkl5f36kaz390wxlis2d8d43jnqhf0d"))))
(build-system pyproject-build-system)
(arguments
(list
#:tests? #false ;need python-distributed, which needs dask-expr.
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'versioneer
(lambda _
;; Our version of versioneer needs setup.cfg. This is adapted
;; from pyproject.toml.
(with-output-to-file "setup.cfg"
(lambda ()
(display "\
[versioneer]
VCS = git
style = pep440
versionfile_source = dask_expr/_version.py
versionfile_build = dask_expr/_version.py
tag_prefix =
parentdir_prefix = dask_expr-
")))
(invoke "versioneer" "install")
(substitute* "setup.py"
(("versioneer.get_version\\(\\)")
(string-append "\"" #$version "\""))))))))
(propagated-inputs (list python-pandas python-pyarrow))
(native-inputs
;; We use python-dask/bootstrap so that python-dask can propagate this
;; package without creating a mutually recursive dependency.
(list python-dask/bootstrap
python-pytest
python-versioneer))
(home-page "https://github.com/dask/dask-expr")
(synopsis "Dask DataFrames with query optimization")
(description "This is a rewrite of Dask DataFrame that includes query
optimization and generally improved organization.")
(license license:bsd-3)))
(define-public python-distributed
(package
(name "python-distributed")
(version "2024.4.2")
(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
"0sy9mqa8qlxsagbz8xn304csrlxhxj4b6k84yrjxdcmkp9pkx166"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
'(list "-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_client_is_quiet_cluster_close"
"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_ensure_no_new_clients"
"test_errors"
"test_fail_to_pickle_target_2"
"test_failure_doesnt_crash"
"test_file_descriptors_dont_leak"
"test_finished"
"test_freeze_batched_send"
"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_messages_are_ordered_bsend"
"test_messages_are_ordered_raw"
"test_mixing_clients_different_scheduler"
"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_preload_manager_sequence"
"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_tell_workers_when_peers_have_left"
"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"
"test_nanny_timeout") ; access to 127.0.0.1
" and not ")
;; This seems to want to use 64GB of memory.
" and not test_computation_object_code_dask_compute"
;; These fail because it doesn't find dask[distributed]
" and not test_quiet_close_process"
;; There is no distributed.__git_revision__ property.
" and not test_git_revision"
;; The system monitor did not return a dictionary containing
;; "host_disk_io.read_bps".
" and not test_disk_config"
;; These fail because the exception text format
;; appears to have changed.
" and not test_exception_text"
" and not test_worker_bad_args"
;; These time out
" and not test_nanny_timeout"
;; These tests are rather flaky
" and not test_quiet_quit_when_cluster_leaves"
" and not multiple_clients_restart"
" and not test_steal_twice"
" and not test_task_groups_update_start_stop"
" and not test_web_preload"
" and not test_web_preload_worker"))
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'versioneer
(lambda _
;; Our version of versioneer needs setup.cfg. This is adapted
;; from pyproject.toml.
(with-output-to-file "setup.cfg"
(lambda ()
(display "\
[versioneer]
VCS = git
style = pep440
versionfile_source = distributed/_version.py
versionfile_build = distributed/_version.py
tag_prefix =
parentdir_prefix = distributed-
")))
(invoke "versioneer" "install")
(substitute* "setup.py"
(("versioneer.get_version\\(\\)")
(string-append "\"" #$version "\"")))))
(add-after 'unpack 'fix-pytest-config
(lambda _
;; This option is not supported by our version of pytest.
(substitute* "pyproject.toml"
(("--cov-config=pyproject.toml.*") ""))))
(add-after 'unpack 'fix-references
(lambda* (#:key outputs #:allow-other-keys)
(substitute* '("distributed/comm/tests/test_ucx_config.py"
"distributed/tests/test_client.py"
"distributed/tests/test_queues.py"
"distributed/tests/test_variable.py"
"distributed/cli/tests/test_tls_cli.py"
"distributed/cli/tests/test_dask_spec.py"
"distributed/cli/tests/test_dask_worker.py"
"distributed/cli/tests/test_dask_scheduler.py")
(("\"dask-scheduler\"")
(format #false "\"~a/bin/dask-scheduler\"" #$output))
(("\"dask-worker\"")
(format #false "\"~a/bin/dask-worker\"" #$output)))))
(add-before 'check 'pre-check
(lambda _
(setenv "DISABLE_IPV6" "1")
;; Disable job queueing
(setenv "DASK_DISTRIBUTED__SCHEDULER__WORKER_SATURATION" "inf")
;; Do not use dask-expr
(setenv "DASK_DATAFRAME__QUERY_PLANNING" "False")
;; 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"))))
;; We need to use "." here.
(replace 'check
(lambda* (#:key tests? test-flags #:allow-other-keys)
(when tests?
(apply invoke "python" "-m" "pytest" "." "-vv" test-flags)))))))
(propagated-inputs
(list python-click
python-cloudpickle
python-cryptography
python-dask
python-dask-expr
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-flaky
python-importlib-metadata
python-pytest
python-pytest-timeout
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-plotnine
(package
(name "python-plotnine")
(version "0.10.1")
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/has2k1/plotnine")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "0lg53wcm00lj8zbb4q9yj4a0n0fqaqq7c7vj18bda0k56gg0fpwl"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; XXX: Check for any new failing tests during next update cycle.
;; These all fail because the images are considered to be too different,
;; though they really do look fine.
'(list "-k"
(string-append "not TestThemes"
(string-join (list
;; Image tests
"test_adjust_text"
"test_annotation_logticks_coord_flip_discrete"
"test_annotation_logticks_faceting"
"test_arrow"
"test_aslabeller_dict_0tag"
"test_caption_simple"
"test_continuous_x"
"test_continuous_x_fullrange"
"test_coord_trans_backtransforms"
"test_coord_trans_se_false"
"test_custom_shape"
"test_datetime_scale_limits"
"test_dir_v_ncol"
"test_discrete_x"
"test_discrete_x_fullrange"
"test_facet_grid_drop_false"
"test_facet_grid_expression"
"test_facet_grid_space_ratios"
"test_facet_wrap"
"test_facet_wrap_expression"
"test_facet_wrap_label_both"
"test_label_context_wrap2vars"
"test_labeller_cols_both_grid"
"test_labeller_cols_both_wrap"
"test_labeller_towords"
"test_missing_data_discrete_scale"
"test_ribbon_facetting"
"test_stack_non_linear_scale"
"test_uneven_num_of_lines"
;; This triggers an unexpected but harmless
;; warning.
"test_save_method"
;; Missing optional modules
"test_non_linear_smooth"
"test_non_linear_smooth_no_ci")
" and not "
'prefix)))
#:phases '(modify-phases %standard-phases
(add-before 'check 'pre-check
(lambda* (#:key inputs outputs #:allow-other-keys)
;; The data files are referenced by the tests but they are not
;; installed.
(copy-recursively "plotnine/data"
(string-append (site-packages inputs
outputs)
"/plotnine/data"))
;; Matplotlib needs to be able to write its configuration file
;; somewhere.
(setenv "MPLCONFIGDIR" "/tmp")
(setenv "TZ" "UTC")
(setenv "TZDIR"
(search-input-directory inputs "share/zoneinfo")))))))
(propagated-inputs (list python-adjusttext
python-matplotlib
python-mizani
python-numpy
python-patsy
python-scipy
python-statsmodels))
(native-inputs (list python-geopandas
python-mock
python-pandas
python-pytest
python-pytest-cov
python-setuptools-scm
tzdata-for-tests))
(home-page "https://github.com/has2k1/plotnine")
(synopsis "Grammar of Graphics for Python")
(description
"Plotnine is a Python implementation of the Grammar of Graphics.
It is a powerful graphics concept for creating plots and visualizations in a
structured and declarative manner. It is inspired by the R package ggplot2
and aims to provide a similar API and functionality in Python.")
(license license:expat)))
(define-public python-pyvista
(package
(name "python-pyvista")
(version "0.42.3")
(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 "1qxq0y0hc72hb60w3qq48fma8l6ffz7bdm75ymn1020bvfqrm1s4"))))
(build-system python-build-system)
(propagated-inputs
(list python-imageio
python-matplotlib
python-meshio
python-numpy
python-pillow
python-pooch
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==0.42.3 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-simplespectral
(package
(name "python-simplespectral")
(version "1.0.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "SimpleSpectral" version))
(sha256
(base32 "0qh3xwdv9cwcqdamvglrhm586p4yaq1hd291py1fvykhk2a2d4w6"))))
(build-system python-build-system)
(propagated-inputs
(list python-numpy python-scipy))
(home-page "https://github.com/xmikos/simplespectral")
(synopsis "FFT module for Python")
(description
"This package provides a simplified @code{scipy.signal.spectral} module
to do spectral analysis in Python.")
(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 pyproject-build-system)
(arguments
(list
;; This one test fails because it doesn't raise an expected exception.
#:test-flags #~(list "-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-clarabel
(package
(name "python-clarabel")
(version "0.7.1")
(source
(origin
(method url-fetch)
(uri (pypi-uri "clarabel" version))
(sha256
(base32 "15k32ynvh45n9q905bxwamh5w5cia9bxzmwz69wbribmyhsv22m3"))
(patches
(search-patches "python-clarabel-blas.patch"))))
(build-system cargo-build-system)
(arguments
(list
#:imported-modules `(,@%cargo-build-system-modules
,@%pyproject-build-system-modules)
#:modules '((guix build cargo-build-system)
((guix build pyproject-build-system) #:prefix py:)
(guix build utils))
#:phases
#~(modify-phases %standard-phases
(add-after 'prepare-python-module 'build-python-module
(assoc-ref py:%standard-phases 'build))
(add-after 'build-python-module 'install-python-module
(assoc-ref py:%standard-phases 'install)))
#:cargo-inputs
`(("rust-amd" ,rust-amd-0.2)
("rust-blas" ,rust-blas-0.22)
("rust-cfg-if" ,rust-cfg-if-1)
("rust-derive-builder" ,rust-derive-builder-0.11)
("rust-enum-dispatch" ,rust-enum-dispatch-0.3) ;0.3.8
("rust-itertools" ,rust-itertools-0.11)
("rust-lapack" ,rust-lapack-0.19)
("rust-lazy-static" ,rust-lazy-static-1) ;1.4
("rust-libc" ,rust-libc-0.2)
("rust-num-derive" ,rust-num-derive-0.2)
("rust-num-traits" ,rust-num-traits-0.2)
("rust-pyo3" ,rust-pyo3-0.20)
("rust-serde" ,rust-serde-1)
("rust-serde-json" ,rust-serde-json-1)
("rust-thiserror" ,rust-thiserror-1))
#:features '(list "python")
#:install-source? #false))
(inputs
(list maturin))
(native-inputs
(list python-wrapper))
(propagated-inputs (list python-numpy python-scipy))
(home-page "https://github.com/oxfordcontrol/Clarabel.rs")
(synopsis "Interior-point solver for convex conic optimisation problems")
(description "Clarabel.rs is a Rust implementation of an interior point
numerical solver for convex optimization problems using a novel homogeneous
embedding.")
(license license:asl2.0)))
(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 "0.9.6")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/sods/paramz")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"1ywc2jzj40m6wmq227j3snxvp4434s0m1xk1abg6v6mr87pv2sa9"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-decorator python-numpy python-scipy
python-six))
(native-inputs (list python-nose))
(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 "1.13.1")
(source (origin
(method url-fetch)
(uri (pypi-uri "GPy" version))
(sha256
(base32
"05d1ry4jpp0srsrmp3qd6s0p2bjc4c0z99450pzdr79vagbfvlk4"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
'(modify-phases %standard-phases
(add-after 'unpack 'compatibility
(lambda _
;; This file uses Python 2 statements
(delete-file "GPy/testing/mpi_test__.py")
(substitute* "setup.py"
(("scipy>=1.3.0,<1.12.0")
"scipy>=1.3.0,<=1.13.0"))
;; Use numpy.exp because scipy.ext no longer exists
(substitute* "GPy/kern/src/sde_standard_periodic.py"
(("sp\\.exp") "np.exp"))
(substitute* "GPy/kern/src/sde_stationary.py"
(("sp\\.poly1d") "np.poly1d")
(("sp\\.roots") "np.roots")))))))
(native-inputs
(list python-cython python-matplotlib python-pods python-pytest))
(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-pods
(package
(name "python-pods")
(version "0.1.14")
(source
(origin
(method url-fetch)
(uri (pypi-uri "pods" version))
(sha256
(base32 "157xxs12qbnz1g6agy0a4dqhsa4msbqryrxpg5w3r3pb8gxdl4dh"))))
(build-system pyproject-build-system)
(arguments (list #:tests? #f)) ;no test suite
(propagated-inputs (list python-pandas python-pyyaml python-scipy
python-tables))
(home-page "https://github.com/lawrennd/ods")
(synopsis "Python software for Open Data Science")
(description "This package provides utilities and tools for open data
science including tools for accessing data sets in Python.")
(license license:bsd-3)))
(define-public python-pyfma
(package
(name "python-pyfma")
(version "0.1.6")
(source (origin
(method git-fetch) ;for tests
(uri (git-reference
(url "https://github.com/nschloe/pyfma")
(commit version)))
(file-name (git-file-name name version))
(sha256
(base32
"12i68jj9n1qj9phjnj6f0kmfhlsd3fqjlk9p6d4gs008azw5m8yn"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy))
(native-inputs (list pybind11 python-pytest))
(home-page "https://github.com/nschloe/pyfma")
(synopsis "Fused multiply-add for Python")
(description "@code{pyfma} provides an implementation of fused
multiply-add which computes @code{(x*y) + z} with a single rounding.
This is useful for dot products, matrix multiplications, polynomial
evaluations (e.g., with Horner's rule), Newton's method for evaluating
functions, convolutions, artificial neural networks etc.")
(license license:expat)))
(define-public python-pydicom
(package
(name "python-pydicom")
(version "2.4.4")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/pydicom/pydicom")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0ksyyc1hbhyqy289a2frn84ss29fb7czirx3dkxx56f4ia33b4c8"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; Skip tests that require networking.
#~(list "-k" (string-append
"not test_jpeg_ls_pixel_data.py"
" and not test_gdcm_pixel_data.py"
" and not test_pillow_pixel_data.py"
" and not test_rle_pixel_data.py"
" and not Test_JPEG_LS_Lossless_transfer_syntax"
" and not test_numpy_pixel_data.py"
" and not test_data_manager.py"
" and not test_handler_util.py"
" and not test_overlay_np.py"
" and not test_encoders_pydicom.py"
" and not test_encaps.py"
" and not test_reading_ds_with_known_tags_with_UN_VR"
" and not TestDatasetOverlayArray"
" and not TestReader"
" and not test_filewriter.py"))))
(native-inputs (list python-pytest))
(inputs (list gdcm libjpeg-turbo))
(propagated-inputs (list python-numpy python-pillow))
(home-page "https://github.com/pydicom/pydicom")
(synopsis "Python library for reading and writing DICOM data")
(description "@code{python-pydicom} is a Python library for reading and
writing DICOM medical imaging data. It can read, modify and write DICOM
data.")
(license license:expat)))
(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
;; XXX: The project may no longer be compatible with the version of
;; numpy packed in Guix.
;; See: https://github.com/uchicago-cs/deepdish/issues/50.
;;
;; However, there is a maintained fork that appears to be a good
;; replacement: https://github.com/portugueslab/flammkuchen.
;;
;; Disable few failing tests to pass the build.
(list #:test-flags
#~(list "-k" (string-append "not test_pad"
" and not test_pad_repeat_border"
" and not test_pad_repeat_border_corner"
" and not test_pad_to_size"))
#: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 pyproject-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-simple-pid
(package
(name "python-simple-pid")
(version "1.0.1")
(source (origin
(method url-fetch)
(uri (pypi-uri "simple-pid" version))
(sha256
(base32
"094mz6rmfq1h0gpns5vlxb7xf9297hlkhndw7g9k95ziqfkv7mk0"))))
(build-system python-build-system)
(arguments
'(#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "python" "-m" "unittest" "discover" "tests/")))))))
(home-page "https://github.com/m-lundberg/simple-pid")
(synopsis "Easy to use PID controller")
(description "This package provides a simple and easy-to-use @acronym{PID,
proportional-integral-derivative} controller.")
(license license:expat)))
(define-public python-supersmoother
(package
(name "python-supersmoother")
(version "0.4")
(source
(origin
(method git-fetch) ; no package in PyPI
(uri (git-reference
(url "https://github.com/jakevdp/supersmoother")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32 "1lkj8l2mpki6x2pxcwlrplx63lhi8h9v2rzxgjfb0cppsfr8m1wp"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-numpy))
(native-inputs (list python-scipy))
(home-page "http://github.com/jakevdp/supersmoother")
(synopsis "Python implementation of Friedman's Supersmoother")
(description
"This package provides an efficient implementation of
@url{https://www.slac.stanford.edu/pubs/slacpubs/3250/slac-pub-3477.pdf,
Friedman's SuperSmoother} based in Python. It makes use of numpy for fast
numerical computation.")
(license license:bsd-2)))
(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)))
(define-public python-vaex-core
(package
(name "python-vaex-core")
(version "4.13.0")
(source
(origin
(method url-fetch)
(uri (pypi-uri "vaex-core" version))
(sha256
(base32 "0ni862x5njhfsldjy49xmasd34plrs7yrmkyss6z1b6sgkbw9fsb"))
(modules '((guix build utils)))
(snippet
;; Remove bundled libraries
'(for-each delete-file-recursively
(list "vendor/boost"
"vendor/pcre"
"vendor/pybind11")))))
(build-system python-build-system)
(arguments
`(#:tests? #false ;require vaex.server and others, which require vaex-core.
#:phases
(modify-phases %standard-phases
(replace 'check
(lambda* (#:key tests? #:allow-other-keys)
(when tests?
(invoke "pytest" "-vv" )))))))
(inputs
(list boost pcre pybind11-2.3))
(propagated-inputs
(list python-aplus
python-blake3
python-click ;XXX for dask
python-cloudpickle
python-dask
python-filelock
python-frozendict
python-future
python-nest-asyncio
python-numpy
python-pandas
python-progressbar2
python-pyarrow
python-pydantic
python-pyyaml
python-requests
python-rich
python-six
python-tabulate))
(native-inputs
(list python-pytest python-cython))
(home-page "https://www.github.com/maartenbreddels/vaex")
(synopsis "Core of Vaex library for exploring tabular datasets")
(description "Vaex is a high performance Python library for lazy
Out-of-Core DataFrames (similar to Pandas), to visualize and explore big
tabular datasets. This package provides the core modules of Vaex.")
(license license:expat)))
(define-public python-salib
(package
(name "python-salib")
(version "1.4.7")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/SALib/SALib")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"18xfyzircsx2q2lmfc9lxb6xvkxicnc83qzghd7df1jsprr5ymch"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-matplotlib
python-multiprocess
python-numpy
python-pandas
python-scipy))
(native-inputs (list python-hatchling python-pytest python-pytest-cov))
(home-page "https://salib.readthedocs.io/en/latest/")
(synopsis "Tools for global sensitivity analysis")
(description "SALib provides tools for global sensitivity analysis. It
contains Sobol', Morris, FAST, DGSM, PAWN, HDMR, Moment Independent and
fractional factorial methods.")
(license license:expat)))
(define-public python-pylems
(package
(name "python-pylems")
(version "0.6.0")
(source (origin
(method url-fetch)
(uri (pypi-uri "PyLEMS" version))
(sha256
(base32
"074azbyivjbwi61fs5p8z9n6d8nk8xw6fmln1www13z1dccb3740"))))
(build-system python-build-system)
(propagated-inputs (list python-lxml))
(home-page "https://github.com/LEMS/pylems")
(synopsis
"Python support for the Low Entropy Model Specification language (LEMS)")
(description
"A LEMS simulator written in Python which can be used to run
NeuroML2 models.")
(license license:lgpl3)))
(define-public python-pynetdicom
(package
(name "python-pynetdicom")
(version "2.0.2")
(source (origin
(method url-fetch)
(uri (pypi-uri "pynetdicom" version))
(sha256
(base32
"0farmgviaarb3f4xn751card3v0lza57vwgl5azxxq65p7li44i3"))))
(build-system pyproject-build-system)
(arguments
(list
#:test-flags
;; Tests takes about 10-15min to complete.
;; Skip tests that require networking.
#~(list "-k" (string-append
" not TestFindSCP"
" and not TestQRGetServiceClass"
" and not TestQRMoveServiceClass"
" and not TestStoreSCP"
" and not test_ae.py"
" and not test_echoscp.py"
" and not test_qrscp_echo.py"
" and not test_storescp.py"
" and not test_pr_level_patient"
" and not test_pr_level_series"
" and not test_scp_cancelled"))))
(native-inputs (list python-pyfakefs python-pytest))
(propagated-inputs (list python-pydicom python-sqlalchemy))
(home-page "https://github.com/pydicom/pynetdicom")
(synopsis "Python implementation of the DICOM networking protocol")
(description
"@code{pynetdicom} is a Python package that implements the DICOM
networking protocol. It allows the easy creation of DICOM
@acronym{SCUs,Service Class Users} and @acronym{SCPs,Service Class
Providers}.")
(license license:expat)))
(define-public python-pynrrd
(package
(name "python-pynrrd")
(version "1.0.0")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/mhe/pynrrd")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"09gdyi4kbi3512ydgqxkgr4j7b9a95qh83fk2n9s41bns4id9xj7"))))
(build-system python-build-system)
(propagated-inputs
(list python-nptyping python-numpy python-typing-extensions))
(home-page "https://github.com/mhe/pynrrd")
(synopsis "Python module for reading and writing NRRD files")
(description
"@code{pynrrd} is a Python module for reading and writing @acronym{NRRD,
Nearly Raw Raster Data} files (format designed to support scientific
visualization and image processing involving N-dimensional raster data) into
and from numpy arrays.")
(license license:expat)))
(define-public python-libneuroml
(package
(name "python-libneuroml")
(version "0.4.1")
(source (origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/NeuralEnsemble/libNeuroML.git")
(commit (string-append "v" version))))
(file-name (git-file-name name version))
(sha256
(base32
"0mrm4rd6x1sm6hkvhk20mkqp9q53sl3lbvq6hqzyymkw1iqq6bhy"))))
(build-system pyproject-build-system)
(propagated-inputs (list python-lxml python-six))
(native-inputs (list python-pytest python-numpy python-tables))
(home-page "https://libneuroml.readthedocs.org/en/latest/")
(synopsis
"Python library for working with NeuroML descriptions of neuronal models")
(description
"This package provides a Python library for working with NeuroML descriptions of
neuronal models")
(license license:bsd-3)))
;;;
;;; Avoid adding new packages to the end of this file. To reduce the chances
;;; of a merge conflict, place them above by existing packages with similar
;;; functionality or similar names.
;;;
Reference in a new issue View git blame Copy permalink