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authorRicardo Wurmus <rekado@elephly.net>2021-07-28 20:29:21 +0200
committerRicardo Wurmus <rekado@elephly.net>2021-07-28 20:31:06 +0200
commit042b6971d73b6bef8b9e81ac5b9e136ea997edfd (patch)
treeef02c0ebacb0d318e34d36232f6974898559ba97 /gnu/packages/python-science.scm
parent251bfbcfaae7c5363c752549d167c82fecfd49a7 (diff)
downloadguix-patches-042b6971d73b6bef8b9e81ac5b9e136ea997edfd.tar
guix-patches-042b6971d73b6bef8b9e81ac5b9e136ea997edfd.tar.gz
gnu: Add python-modin.
* gnu/packages/python-science.scm (python-modin): New variable.
Diffstat (limited to 'gnu/packages/python-science.scm')
-rw-r--r--gnu/packages/python-science.scm65
1 files changed, 65 insertions, 0 deletions
diff --git a/gnu/packages/python-science.scm b/gnu/packages/python-science.scm
index 3aa3edce17..738b504e3b 100644
--- a/gnu/packages/python-science.scm
+++ b/gnu/packages/python-science.scm
@@ -916,3 +916,68 @@ 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 "0.10.1")
+ (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
+ "128ghfb9ncmnn8km409xjcdppvn9nr9jqw8rkvsfavh7wnwlk509"))))
+ (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 "."))))
+ (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
+ `(("python-cloudpickle" ,python-cloudpickle)
+ ("python-dask" ,python-dask)
+ ("python-distributed" ,python-distributed)
+ ("python-numpy" ,python-numpy)
+ ("python-packaging" ,python-packaging)
+ ("python-pandas" ,python-pandas)))
+ (native-inputs
+ `(("python-coverage" ,python-coverage)
+ ("python-jinja2" ,python-jinja2)
+ ("python-lxml" ,python-lxml)
+ ("python-matplotlib" ,python-matplotlib)
+ ("python-msgpack" ,python-msgpack)
+ ("python-openpyxl" ,python-openpyxl)
+ ("python-psutil" ,python-psutil)
+ ("python-pyarrow" ,python-pyarrow)
+ ("python-pytest" ,python-pytest)
+ ("python-pytest-benchmark" ,python-pytest-benchmark)
+ ("python-pytest-cov" ,python-pytest-cov)
+ ("python-pytest-xdist" ,python-pytest-xdist)
+ ("python-scipy" ,python-scipy)
+ ("python-sqlalchemy" ,python-sqlalchemy)
+ ("python-tables" ,python-tables)
+ ("python-tqdm" ,python-tqdm)
+ ("python-xarray" ,python-xarray)
+ ("python-xlrd" ,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)))