gnu: packages/python-science: Sort packages.

* gnu/packages/python-science.scm (python-bottleneck, python-dask-expr,
python-mpsplines, python-salib, python-unyt, python-vedo): Sort
variables alphabetically.

Change-Id: I767f6959dd5727cee22e07d49de28af244985c22
This commit is contained in:
Sharlatan Hellseher 2025-06-29 23:07:36 +01:00
parent 0f10ad2f3d
commit 638777f627
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@ -399,6 +399,35 @@ higher scores.")
one of the fastest libraries for histogramming.")
(license license:bsd-3)))
(define-public python-bottleneck
(package
(name "python-bottleneck")
(version "1.4.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "bottleneck" version))
(sha256
(base32 "1x29yj4yr12v646si63gkxj9b6lx1xk65536wqy4i9fyk4bqx3ps"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-before 'check 'rebuild-ext
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"))))))
(native-inputs (list python-pytest
python-setuptools
python-wheel))
(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-clarabel
(package
(name "python-clarabel")
@ -589,6 +618,59 @@ it can be used for displaying many qualitatively different samples.")
optimization problems in Python.")
(license license:asl2.0)))
(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-setuptools
python-versioneer
python-wheel))
(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-decaylanguage
(package
(name "python-decaylanguage")
@ -959,6 +1041,39 @@ spheres, cubes, etc.")
density maps, both for interactive and non-interactive use.")
(license license:bsd-2)))
(define-public python-mpsplines
;; No release on PyPI no git tag, use the latest commit.
(let ((commit "4967655fca8f4d0fc0685486c8ec2f1fe2f199d2")
(revision "0"))
(package
(name "python-mpsplines")
(version (git-version "0.0.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/jararias/mpsplines")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "1wqfvjp1d6xzb07qnq72h76f0mx7za9pasgw3qp3ciaycmlkvdr3"))))
(build-system pyproject-build-system)
(arguments
(list #:tests? #f)) ; no tests provided
(native-inputs
(list python-setuptools
python-wheel))
(propagated-inputs
(list python-scipy
python-numpy
python-loguru))
(home-page "https://github.com/jararias/mpsplines")
(synopsis "Mean preserving interpolation with splines")
(description
"Thi package implements a functionality for mean-preserving
interpolation of 1D data (for example, time series) with splines.")
(license license:bsd-3))))
(define-public python-ndindex
(package
(name "python-ndindex")
@ -1432,6 +1547,33 @@ factorization routine for quasi-definite linear system.")
automated with the minimum of fuss and the least effort.")
(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-scikit-allel
(package
(name "python-scikit-allel")
@ -2316,39 +2458,6 @@ manipulation and analysis, in the style of the Polygon object in the Shapely
library.")
(license license:expat)))
(define-public python-mpsplines
;; No release on PyPI no git tag, use the latest commit.
(let ((commit "4967655fca8f4d0fc0685486c8ec2f1fe2f199d2")
(revision "0"))
(package
(name "python-mpsplines")
(version (git-version "0.0.0" revision commit))
(source
(origin
(method git-fetch)
(uri (git-reference
(url "https://github.com/jararias/mpsplines")
(commit commit)))
(file-name (git-file-name name version))
(sha256
(base32 "1wqfvjp1d6xzb07qnq72h76f0mx7za9pasgw3qp3ciaycmlkvdr3"))))
(build-system pyproject-build-system)
(arguments
(list #:tests? #f)) ; no tests provided
(native-inputs
(list python-setuptools
python-wheel))
(propagated-inputs
(list python-scipy
python-numpy
python-loguru))
(home-page "https://github.com/jararias/mpsplines")
(synopsis "Mean preserving interpolation with splines")
(description
"Thi package implements a functionality for mean-preserving
interpolation of 1D data (for example, time series) with splines.")
(license license:bsd-3))))
(define-public python-pyamg
(package
(name "python-pyamg")
@ -3104,35 +3213,6 @@ Python module with the same interface, but (hopefully) faster.")
"This package provides a Python package for time series classification.")
(license license:bsd-3)))
(define-public python-bottleneck
(package
(name "python-bottleneck")
(version "1.4.2")
(source
(origin
(method url-fetch)
(uri (pypi-uri "bottleneck" version))
(sha256
(base32 "1x29yj4yr12v646si63gkxj9b6lx1xk65536wqy4i9fyk4bqx3ps"))))
(build-system pyproject-build-system)
(arguments
(list
#:phases
#~(modify-phases %standard-phases
(add-before 'check 'rebuild-ext
(lambda _
(invoke "python" "setup.py" "build_ext" "--inplace"))))))
(native-inputs (list python-pytest
python-setuptools
python-wheel))
(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-spin
(package
(name "python-spin")
@ -3247,6 +3327,43 @@ not usually a runtime dependency, but only a type checking, testing, and/or
docs dependency in support of other libraries.")
(license license:bsd-3)))
(define-public python-unyt
(package
(name "python-unyt")
(version "3.0.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "unyt" version))
(sha256
(base32 "0jrq2vhan2h280h6cw1sm5hys2nzmf19w4py64k3nrkc320z9mni"))))
(build-system pyproject-build-system)
(arguments
;; This is a Numpy DeprecationWarning, remove it on next update.
(list #:test-flags ''("-k" "not test_h5_io")))
;; Pint is optional, but we do not propagate it due to its size.
(native-inputs
(list python-pint
python-pytest
python-setuptools
python-setuptools-scm
python-wheel))
;; 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))
(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} classes (subclasses of NumPys ndarray class)
for handling arrays and scalars with units,respectively")
(license license:bsd-3)))
(define-public python-upsetplot
(package
(name "python-upsetplot")
@ -3301,6 +3418,65 @@ geometric calculations on arrays of vectors, rather than one vector at a time
in a Python @code{for} loop.")
(license license:bsd-3)))
(define-public python-vedo
(package
(name "python-vedo")
(version "2025.5.3")
(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 "0hrqyvcxxbc1wz0cnafc8rvsi5mj19kck4b6pmddh25rlhdcr5qb"))))
(build-system pyproject-build-system)
(arguments
(list
;; XXX: The whole test suite depends on the data from
;; <https://vedo.embl.es/examples> providing samples which need to be
;; downloaded during tests, find the way how to enable it.
#:tests? #f
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'relax-requirements
;; vtk does not provide Python metadata.
;;
;; ...checking requirements: ERROR: vedo==2025.5.3
;; DistributionNotFound(Requirement.parse('vtk'), {'vedo'})
(lambda _
(substitute* "pyproject.toml"
(("\"vtk\",") "")))))))
(native-inputs
(list pkg-config
python-pkgconfig
python-setuptools
python-wheel))
(propagated-inputs
(list python-deprecated
python-matplotlib
python-numpy
python-pygments
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-xarray
(package
(name "python-xarray")
@ -3613,102 +3789,6 @@ SCS (Splitting conic solver) library.")
annotations on an existing boxplots and barplots generated by seaborn.")
(license license:expat)))
(define-public python-unyt
(package
(name "python-unyt")
(version "3.0.3")
(source
(origin
(method url-fetch)
(uri (pypi-uri "unyt" version))
(sha256
(base32 "0jrq2vhan2h280h6cw1sm5hys2nzmf19w4py64k3nrkc320z9mni"))))
(build-system pyproject-build-system)
(arguments
;; This is a Numpy DeprecationWarning, remove it on next update.
(list #:test-flags ''("-k" "not test_h5_io")))
;; Pint is optional, but we do not propagate it due to its size.
(native-inputs
(list python-pint
python-pytest
python-setuptools
python-setuptools-scm
python-wheel))
;; 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))
(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} classes (subclasses of NumPys ndarray class)
for handling arrays and scalars with units,respectively")
(license license:bsd-3)))
(define-public python-vedo
(package
(name "python-vedo")
(version "2025.5.3")
(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 "0hrqyvcxxbc1wz0cnafc8rvsi5mj19kck4b6pmddh25rlhdcr5qb"))))
(build-system pyproject-build-system)
(arguments
(list
;; XXX: The whole test suite depends on the data from
;; <https://vedo.embl.es/examples> providing samples which need to be
;; downloaded during tests, find the way how to enable it.
#:tests? #f
#:phases
#~(modify-phases %standard-phases
(add-after 'unpack 'relax-requirements
;; vtk does not provide Python metadata.
;;
;; ...checking requirements: ERROR: vedo==2025.5.3
;; DistributionNotFound(Requirement.parse('vtk'), {'vedo'})
(lambda _
(substitute* "pyproject.toml"
(("\"vtk\",") "")))))))
(native-inputs
(list pkg-config
python-pkgconfig
python-setuptools
python-wheel))
(propagated-inputs
(list python-deprecated
python-matplotlib
python-numpy
python-pygments
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")
@ -3796,59 +3876,6 @@ and more
@end itemize")
(license license:gpl3)))
(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-setuptools
python-versioneer
python-wheel))
(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")
@ -4790,33 +4817,6 @@ 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")