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gnu: Add python-corner.
* gnu/packages/python-science.scm (python-corner): New variable. Change-Id: I75c3a88ba4b729fb7c9a50dd85a00b22cdcaa828
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@ -2898,6 +2898,63 @@ (define-public python-climin
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@command{numpy} and (partially) @command{gnumpy}.")
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@command{numpy} and (partially) @command{gnumpy}.")
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(license license:bsd-3)))
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(license license:bsd-3)))
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(define-public python-corner
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(package
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(name "python-corner")
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(version "2.2.2")
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(source
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(origin
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(method git-fetch) ;no tests in PyPi archive
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(uri (git-reference
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(url "https://github.com/dfm/corner.py")
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(commit (string-append "v" version))))
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(file-name (git-file-name name version))
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(sha256
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(base32 "1i4dk4jxh0saysya2cnsfwlxwpldbdl174i9pwi4qj82av9jr2ii"))))
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(build-system pyproject-build-system)
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(arguments
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(list
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#:test-flags
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#~(list
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;; XXX: Disable tests which failed with mismatched images, check why.
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"-k" (string-append "not test_labels[png]"
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" and not test_title_quantiles[png]"
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" and not test_title_quantiles_default[png]"
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" and not test_title_quantiles_raises[png]"
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" and not test_bins[png]"
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" and not test_bins_log[png]"
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" and not test_titles1[png]"
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" and not test_titles2[png]"
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" and not test_pandas[png]"
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" and not test_tight[png]"
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" and not test_extended_overplotting[png]"
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" and not test_reverse_overplotting[png]"
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" and not test_arviz[png]"
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" and not test_range_fig_arg[png]"))
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#:phases
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#~(modify-phases %standard-phases
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(add-before 'build 'pretend-version
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;; XXX: Make sure you're either building from a fully intact git
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;; repository or PyPI tarballs. Most other sources (such as GitHub's
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;; tarballs, a git checkout without the .git folder) don't contain
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;; the necessary metadata and will not work.
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(lambda _
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(setenv "SETUPTOOLS_SCM_PRETEND_VERSION" #$version))))))
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(propagated-inputs
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(list python-matplotlib))
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(native-inputs
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(list python-arviz python-pytest python-scipy python-setuptools-scm))
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(home-page "http://corner.readthedocs.io/")
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(synopsis "Make some beautiful corner plots")
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(description
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"This Python module uses @code{matplotlib} to visualize multidimensional
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samples using a scatterplot matrix. In these visualizations, each one- and
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two-dimensional projection of the sample is plotted to reveal covariances.
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corner was originally conceived to display the results of Markov Chain Monte
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Carlo simulations and the defaults are chosen with this application in mind but
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it can be used for displaying many qualitatively different samples.")
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(license license:bsd-2)))
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(define-public python-paramz
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(define-public python-paramz
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(package
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(package
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(name "python-paramz")
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(name "python-paramz")
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