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author | Ricardo Wurmus <rekado@elephly.net> | 2021-07-28 20:29:21 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2021-07-28 20:31:06 +0200 |
commit | 042b6971d73b6bef8b9e81ac5b9e136ea997edfd (patch) | |
tree | ef02c0ebacb0d318e34d36232f6974898559ba97 | |
parent | 251bfbcfaae7c5363c752549d167c82fecfd49a7 (diff) |
gnu: Add python-modin.
* gnu/packages/python-science.scm (python-modin): New variable.
-rw-r--r-- | gnu/packages/python-science.scm | 65 |
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))) |