~ruther/guix-local

d336816faf85310bff211ca78275b990a24d3673 — Sharlatan Hellseher 1 year, 5 months ago 1d4aed8
gnu: python-cmyt: Update to 2.0.1.

* gnu/packages/astronomy.scm (python-cmyt): Update to 2.0.1.
[source]: Swap to git checkout containing tests.
[arguments]<phases>: Add 'relax-requirements.
[native-inputs]: Remove python-setuptools and python-wheel; add
python-hatchling.
[description]: Adjust fill column.

Change-Id: I5eb5cf848c26e3fb9f16f7d611d06047387981e7
1 files changed, 19 insertions(+), 8 deletions(-)

M gnu/packages/astronomy.scm
M gnu/packages/astronomy.scm => gnu/packages/astronomy.scm +19 -8
@@ 3734,28 3734,39 @@ attempting to maintain ISTP compliance
(define-public python-cmyt
  (package
    (name "python-cmyt")
    (version "2.0.0")
    (version "2.0.1")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "cmyt" version))
       (method git-fetch) ; no tests in the PyPI tarball
       (uri (git-reference
             (url "https://github.com/yt-project/cmyt")
             (commit (string-append "v" version))))
       (file-name (git-file-name name version))
       (sha256
        (base32 "1zabmckr1z637pfqqvlkj0asfqqvx2x92163dby8x0c8yiqgdvjb"))))
        (base32 "0d1szsgjd09ya53vx7g5ryz2jdxl19p9rvrm4xz8v53vbqrp18cv"))))
    (build-system pyproject-build-system)
    (arguments
     (list
      #:phases
      #~(modify-phases %standard-phases
          (add-after 'unpack 'relax-requirements
            (lambda _
              (substitute* "pyproject.toml"
                ;; numpy>=1.26
                ((">=1.26") ">=1.23")))))))
    (native-inputs
     (list python-colorspacious
           python-pytest
           python-pytest-mpl
           python-setuptools
           python-wheel))
           python-hatchling))
    (propagated-inputs
     (list python-matplotlib
           python-numpy))
    (home-page "https://yt-project.org/")
    (synopsis "Matplotlib colormaps from the yt project")
    (description
     "This package provides a range of colormaps designed for scientific
use with Matplotlib.  It includes perceptually uniform sequential colormaps such
     "This package provides a range of colormaps designed for scientific use
with Matplotlib.  It includes perceptually uniform sequential colormaps such
as @code{abre}, @code{dusk}, @code{kepl}, and @code{octarine}, as well as
monochromatic sequential colormaps like @code{blue}, @code{green}, and
@code{red}, and others (@code{algae}, @code{pastel}, and @code{xray}).")