~ruther/guix-local

26a8b63ec30ad101e860c8f4df0bd7e4d1a825b1 — Sharlatan Hellseher 1 year, 4 months ago 638777f
gnu: packages/python-science: Sort packages.

* gnu/packages/python-science.scm: (python-deepdish, python-modin,
python-msgpack-numpy, python-pyamg, python-pyet, python-vaex-core): Sort
variables alphabetically.

Change-Id: I37db89f459242c6bfed8dce559539f8249c67192
1 files changed, 326 insertions(+), 326 deletions(-)

M gnu/packages/python-science.scm
M gnu/packages/python-science.scm => gnu/packages/python-science.scm +326 -326
@@ 706,6 706,67 @@ possible to interoperate several fitting programs.  Particular interest is
given to programs dedicated to amplitude analyses.")
    (license license:bsd-3)))

(define-public python-deepdish
  ;; XXX: The project may no longer be compatible with the version of NumPy
  ;; packed in Guix (now 1.24.4), use the latest commit containing fixes.
  ;; See: <https://github.com/uchicago-cs/deepdish/issues/50>.
  ;; However, there is a maintained fork that appears to be a good
  ;; replacement: https://github.com/portugueslab/flammkuchen.
  (let ((commit "3f2dff7a03f1b31f6924b665ad5b8c299329c1cd")
        (revision "0"))
    (package
      (name "python-deepdish")
      (version (git-version "0.3.7" revision commit))
      (source
       (origin
         (method git-fetch)
         (uri (git-reference
               (url "https://github.com/uchicago-cs/deepdish")
               (commit commit)))
         (file-name (git-file-name name version))
         (sha256
          (base32 "1n3r6z5zd18kdmzyg1gkm9lqi573szlxbls1ck5wjn4a14ar9fw3"))))
      (arguments
       ;; Disable few failing tests to pass the build.
       (list
        #:test-flags
        #~(list "-k" (string-append "not test_pad"
                                    " and not test_pad_repeat_border"
                                    " and not test_pad_repeat_border_corner"
                                    " and not test_pad_to_size"))
        #:phases
        #~(modify-phases %standard-phases
            (add-after 'unpack 'dont-vendor-six
              (lambda _
                (delete-file "deepdish/six.py")
                (substitute* "deepdish/io/hdf5io.py"
                  (("from deepdish import six") "import six"))
                (substitute* "deepdish/io/ls.py"
                  (("from deepdish import io, six, __version__")
                   "from deepdish import io, __version__
import six
")))))))
      (build-system pyproject-build-system)
      (native-inputs
       (list python-pytest
             python-pandas
             python-setuptools
             python-wheel))
      (propagated-inputs
       (list python-numpy
             python-scipy
             python-six
             python-tables))
      (home-page "https://github.com/uchicago-cs/deepdish")
      (synopsis "Python library for HDF5 file saving and loading")
      (description
       "Deepdish is a Python library to load and save HDF5 files.
The primary feature of deepdish is its ability to save and load all kinds of
data as HDF5.  It can save any Python data structure, offering the same ease
of use as pickling or @code{numpy.save}, but with the language
interoperability offered by HDF5.")
      (license license:bsd-3))))

(define-public python-ecos
  (package
    (name "python-ecos")


@@ 1008,6 1069,81 @@ volume computations for simple domains like regular polygons, disks,
spheres, cubes, etc.")
    (license license:gpl3+)))

(define-public python-modin
  (package
    (name "python-modin")
    (version "0.32.0")
    (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
         "1vb3iffgspryb6nvwiwdnypb922vkn2yvyzc1y0wwxcb0c0fl78d"))))
    (build-system pyproject-build-system)
    (arguments
     (list
      #:test-flags
      #~(list "--numprocesses" (number->string (min 8 (parallel-job-count)))
              ;; These four tests fail because an expected error is not raised.
              "-k" "not test_binary_bad_broadcast")
      #:phases
      '(modify-phases %standard-phases
         (add-after 'unpack 'loosen-requirements
           (lambda _
             (substitute* "setup.py"
               ;; Don't depend on a specific version of Pandas.
               (("pandas==") "pandas>="))))
         (replace 'check
           (lambda* (#:key tests? test-flags #:allow-other-keys)
             (when tests?
               (setenv "MODIN_ENGINE" "dask")
               (apply invoke "python" "-m" "pytest"
                      "modin/tests/numpy" test-flags)
               (setenv "MODIN_ENGINE" "python")
               (apply invoke "python" "-m" "pytest"
                      "modin/tests/numpy" test-flags)))))))
    (propagated-inputs
     (list python-cloudpickle
           python-dask
           python-distributed
           python-numpy
           python-packaging
           python-pandas
           python-s3fs))
    (native-inputs
     (list python-boto3
           python-jinja2
           python-lxml
           python-matplotlib
           python-msgpack
           python-openpyxl
           python-psutil
           python-pyarrow
           python-pytest
           python-pytest-benchmark
           python-pytest-cov
           python-pytest-xdist
           python-scipy
           python-sqlalchemy
           python-tables
           python-tqdm
           python-xarray
           python-xlrd
           python-wheel))
    (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)))

(define-public python-mpl-scatter-density
  (package
    (name "python-mpl-scatter-density")


@@ 1074,6 1210,30 @@ density maps, both for interactive and non-interactive use.")
interpolation of 1D data (for example, time series) with splines.")
      (license license:bsd-3))))

(define-public python-msgpack-numpy
  (package
    (name "python-msgpack-numpy")
    (version "0.4.8")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "msgpack-numpy" version))
       (sha256
        (base32
         "0sbfanbkfs6c77np4vz0ayrwnv99bpn5xgj5fnf2yhhk0lcd6ry6"))))
    (build-system python-build-system)
    (propagated-inputs
     (list python-msgpack python-numpy))
    (home-page "https://github.com/lebedov/msgpack-numpy")
    (synopsis
     "Numpy data serialization using msgpack")
    (description
     "This package provides encoding and decoding routines that enable the
serialization and deserialization of numerical and array data types provided
by numpy using the highly efficient @code{msgpack} format.  Serialization of
Python's native complex data types is also supported.")
    (license license:bsd-3)))

(define-public python-ndindex
  (package
    (name "python-ndindex")


@@ 1391,6 1551,101 @@ allows arithmetic operations between them and conversions from and to
different units.")
    (license license:bsd-3)))

(define-public python-pyamg
  (package
    (name "python-pyamg")
    (version "5.0.1")
    (source (origin
              (method url-fetch)
              (uri (pypi-uri "pyamg" version))
              (modules '((guix build utils)))
              (snippet
               ;; Delete autogenerated files, regenerate in a phase.
               #~(begin
                   (for-each
                    (lambda (file)
                      (delete-file (string-append "pyamg/amg_core/" file)))
                    '("air_bind.cpp"
                      "evolution_strength_bind.cpp"
                      "graph_bind.cpp"
                      "krylov_bind.cpp"
                      "linalg_bind.cpp"
                      "relaxation_bind.cpp"
                      "ruge_stuben_bind.cpp"
                      "smoothed_aggregation_bind.cpp"
                      "tests/bind_examples_bind.cpp"))))
              (sha256
               (base32
                "0l3dliwynxyjvbgpmi2k8jqvkkw6fc00c8w69h6swhrkfh0ql12z"))))
    (arguments
     (list
      #:test-flags
      ;; Test installed package in order to find C++ modules.
      #~(list "--pyargs" "pyamg.tests")
      #:phases
      #~(modify-phases %standard-phases
          ;; Regenerate the autogenerated files.
          (add-after 'unpack 'amg-core-bind-them
            (lambda _
              ;; bindthem.py heavily depends on location to produce *_bind.cpp
              ;; file, make it available in tests as well.
              (copy-file "pyamg/amg_core/bindthem.py"
                         "pyamg/amg_core/tests/bindthem.py")
              (with-directory-excursion "pyamg/amg_core"
                (substitute* "bindthem.py"
                  (("/usr/bin/env python3") (which "python3")))
                (invoke "sh" "generate.sh"))
              (with-directory-excursion "pyamg/amg_core/tests"
                (invoke "python" "bindthem.py" "bind_examples.h")))))))
    (build-system pyproject-build-system)
    (native-inputs
     (list pybind11
           python-cppheaderparser
           python-pytest
           python-pyyaml
           python-setuptools
           python-setuptools-scm
           python-wheel))
    (propagated-inputs (list python-numpy python-scipy))
    (home-page "https://github.com/pyamg/pyamg")
    (synopsis "Algebraic Multigrid Solvers in Python")
    (description "PyAMG is a Python library of Algebraic Multigrid
(AMG) solvers. It features implementations of:
@itemize
@item Ruge-Stuben (RS) or Classical AMG
@item AMG based on Smoothed Aggregation (SA)
@item Adaptive Smoothed Aggregation (αSA)
@item Compatible Relaxation (CR)
@item Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.
@end itemize")
    (license license:expat)))

(define-public python-pyet
  (package
    (name "python-pyet")
    (version "1.3.1")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "pyet" version))
       (sha256
        (base32 "1dblsx0bv1g453hcx5vwij1zgankwgwvhwllqkn47k578h038xvy"))))
    (build-system pyproject-build-system)
    (native-inputs
     (list python-mock
           python-pytest
           python-setuptools
           python-wheel))
    (propagated-inputs
     (list python-pandas
           python-xarray))
    (home-page "https://github.com/pyet-org/pyet")
    (synopsis "Python package for evapotranspiration calculation")
    (description
     "This package provides a Python library for calculating
Evapotranspiration using various standard methods.")
    (license license:expat)))

(define-public python-pynetdicom
  (package
    (name "python-pynetdicom")


@@ 2458,101 2713,6 @@ manipulation and analysis, in the style of the Polygon object in the Shapely
library.")
    (license license:expat)))

(define-public python-pyamg
  (package
    (name "python-pyamg")
    (version "5.0.1")
    (source (origin
              (method url-fetch)
              (uri (pypi-uri "pyamg" version))
              (modules '((guix build utils)))
              (snippet
               ;; Delete autogenerated files, regenerate in a phase.
               #~(begin
                   (for-each
                    (lambda (file)
                      (delete-file (string-append "pyamg/amg_core/" file)))
                    '("air_bind.cpp"
                      "evolution_strength_bind.cpp"
                      "graph_bind.cpp"
                      "krylov_bind.cpp"
                      "linalg_bind.cpp"
                      "relaxation_bind.cpp"
                      "ruge_stuben_bind.cpp"
                      "smoothed_aggregation_bind.cpp"
                      "tests/bind_examples_bind.cpp"))))
              (sha256
               (base32
                "0l3dliwynxyjvbgpmi2k8jqvkkw6fc00c8w69h6swhrkfh0ql12z"))))
    (arguments
     (list
      #:test-flags
      ;; Test installed package in order to find C++ modules.
      #~(list "--pyargs" "pyamg.tests")
      #:phases
      #~(modify-phases %standard-phases
          ;; Regenerate the autogenerated files.
          (add-after 'unpack 'amg-core-bind-them
            (lambda _
              ;; bindthem.py heavily depends on location to produce *_bind.cpp
              ;; file, make it available in tests as well.
              (copy-file "pyamg/amg_core/bindthem.py"
                         "pyamg/amg_core/tests/bindthem.py")
              (with-directory-excursion "pyamg/amg_core"
                (substitute* "bindthem.py"
                  (("/usr/bin/env python3") (which "python3")))
                (invoke "sh" "generate.sh"))
              (with-directory-excursion "pyamg/amg_core/tests"
                (invoke "python" "bindthem.py" "bind_examples.h")))))))
    (build-system pyproject-build-system)
    (native-inputs
     (list pybind11
           python-cppheaderparser
           python-pytest
           python-pyyaml
           python-setuptools
           python-setuptools-scm
           python-wheel))
    (propagated-inputs (list python-numpy python-scipy))
    (home-page "https://github.com/pyamg/pyamg")
    (synopsis "Algebraic Multigrid Solvers in Python")
    (description "PyAMG is a Python library of Algebraic Multigrid
(AMG) solvers. It features implementations of:
@itemize
@item Ruge-Stuben (RS) or Classical AMG
@item AMG based on Smoothed Aggregation (SA)
@item Adaptive Smoothed Aggregation (αSA)
@item Compatible Relaxation (CR)
@item Krylov methods such as CG, GMRES, FGMRES, BiCGStab, MINRES, etc.
@end itemize")
    (license license:expat)))

(define-public python-pyet
  (package
    (name "python-pyet")
    (version "1.3.1")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "pyet" version))
       (sha256
        (base32 "1dblsx0bv1g453hcx5vwij1zgankwgwvhwllqkn47k578h038xvy"))))
    (build-system pyproject-build-system)
    (native-inputs
     (list python-mock
           python-pytest
           python-setuptools
           python-wheel))
    (propagated-inputs
     (list python-pandas
           python-xarray))
    (home-page "https://github.com/pyet-org/pyet")
    (synopsis "Python package for evapotranspiration calculation")
    (description
     "This package provides a Python library for calculating
Evapotranspiration using various standard methods.")
    (license license:expat)))

(define-public python-tspex
  (package
    (name "python-tspex")


@@ 3389,6 3549,77 @@ UpSet plots are used to visualize set overlaps; like Venn diagrams but more
readable.")
    (license license:bsd-3)))

(define-public python-vaex-core
  (package
    (name "python-vaex-core")
    (version "4.18.1")
    (source
     (origin
       (method git-fetch)
       (uri (git-reference
             (url "https://www.github.com/maartenbreddels/vaex")
             (commit (string-append "core-v" version))))
       (file-name (git-file-name name version))
       (sha256
        (base32 "1sp096msbzgjlwi8c1ink2bp4pjff9pvikqz1y1li8d3in4gpgdr"))
       (patches
        (search-patches "python-vaex-core-fix-tsl-use.patch"))
       (modules '((guix build utils)
                  (ice-9 ftw)))
       (snippet
        #~(begin
            ;; Delete everything except for vaex-core itself:
            (define (delete-except exception)
              (lambda (file)
                (unless (member file `("." ".." ,exception))
                  (delete-file-recursively file))))
            (for-each (delete-except "packages") (scandir "."))
            (with-directory-excursion "packages"
              (for-each (delete-except "vaex-core") (scandir ".")))
            (for-each (lambda (file)
                        (unless (member file '("." ".."))
                          (rename-file
                           (string-append "packages/vaex-core/" file)
                           file)))
                      (scandir "packages/vaex-core"))
            (delete-file-recursively "packages")
            (delete-file-recursively "vendor")))))
    (build-system pyproject-build-system)
    (arguments
     ;; require vaex.server and others, which require vaex-core.
     (list #:tests? #false))
    (inputs
     (list boost pcre pybind11 string-view-lite tsl-hopscotch-map))
    (propagated-inputs
     (list python-aplus
           python-blake3
           python-click ;XXX for dask
           python-cloudpickle
           python-dask
           python-filelock
           python-frozendict
           python-future
           python-nest-asyncio
           python-numpy
           python-pandas
           python-progressbar2
           python-pyarrow
           python-pydantic-2
           python-pydantic-settings
           python-pyyaml
           python-requests
           python-rich
           python-six
           python-tabulate))
    (native-inputs
     (list python-pytest python-cython-3 python-setuptools python-wheel))
    (home-page "https://www.github.com/maartenbreddels/vaex")
    (synopsis "Core of Vaex library for exploring tabular datasets")
    (description "Vaex is a high performance Python library for lazy
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-vector
  (package
    (name "python-vector")


@@ 3712,30 3943,6 @@ efficiently evaluate mathematical expressions involving multi-dimensional
arrays.  It is a fork of the Aesara library.")
    (license license:bsd-3)))

(define-public python-msgpack-numpy
  (package
    (name "python-msgpack-numpy")
    (version "0.4.8")
    (source
     (origin
       (method url-fetch)
       (uri (pypi-uri "msgpack-numpy" version))
       (sha256
        (base32
         "0sbfanbkfs6c77np4vz0ayrwnv99bpn5xgj5fnf2yhhk0lcd6ry6"))))
    (build-system python-build-system)
    (propagated-inputs
     (list python-msgpack python-numpy))
    (home-page "https://github.com/lebedov/msgpack-numpy")
    (synopsis
     "Numpy data serialization using msgpack")
    (description
     "This package provides encoding and decoding routines that enable the
serialization and deserialization of numerical and array data types provided
by numpy using the highly efficient @code{msgpack} format.  Serialization of
Python's native complex data types is also supported.")
    (license license:bsd-3)))

(define-public python-scs
  (package
    (name "python-scs")


@@ 4123,81 4330,6 @@ 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 "0.32.0")
    (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
         "1vb3iffgspryb6nvwiwdnypb922vkn2yvyzc1y0wwxcb0c0fl78d"))))
    (build-system pyproject-build-system)
    (arguments
     (list
      #:test-flags
      #~(list "--numprocesses" (number->string (min 8 (parallel-job-count)))
              ;; These four tests fail because an expected error is not raised.
              "-k" "not test_binary_bad_broadcast")
      #:phases
      '(modify-phases %standard-phases
         (add-after 'unpack 'loosen-requirements
           (lambda _
             (substitute* "setup.py"
               ;; Don't depend on a specific version of Pandas.
               (("pandas==") "pandas>="))))
         (replace 'check
           (lambda* (#:key tests? test-flags #:allow-other-keys)
             (when tests?
               (setenv "MODIN_ENGINE" "dask")
               (apply invoke "python" "-m" "pytest"
                      "modin/tests/numpy" test-flags)
               (setenv "MODIN_ENGINE" "python")
               (apply invoke "python" "-m" "pytest"
                      "modin/tests/numpy" test-flags)))))))
    (propagated-inputs
     (list python-cloudpickle
           python-dask
           python-distributed
           python-numpy
           python-packaging
           python-pandas
           python-s3fs))
    (native-inputs
     (list python-boto3
           python-jinja2
           python-lxml
           python-matplotlib
           python-msgpack
           python-openpyxl
           python-psutil
           python-pyarrow
           python-pytest
           python-pytest-benchmark
           python-pytest-cov
           python-pytest-xdist
           python-scipy
           python-sqlalchemy
           python-tables
           python-tqdm
           python-xarray
           python-xlrd
           python-wheel))
    (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)))

(define-public python-plotnine
  (package
    (name "python-plotnine")


@@ 4655,67 4787,6 @@ writing DICOM medical imaging data.  It can read, modify and write DICOM
data.")
    (license license:expat)))

(define-public python-deepdish
  ;; XXX: The project may no longer be compatible with the version of NumPy
  ;; packed in Guix (now 1.24.4), use the latest commit containing fixes.
  ;; See: <https://github.com/uchicago-cs/deepdish/issues/50>.
  ;; However, there is a maintained fork that appears to be a good
  ;; replacement: https://github.com/portugueslab/flammkuchen.
  (let ((commit "3f2dff7a03f1b31f6924b665ad5b8c299329c1cd")
        (revision "0"))
    (package
      (name "python-deepdish")
      (version (git-version "0.3.7" revision commit))
      (source
       (origin
         (method git-fetch)
         (uri (git-reference
               (url "https://github.com/uchicago-cs/deepdish")
               (commit commit)))
         (file-name (git-file-name name version))
         (sha256
          (base32 "1n3r6z5zd18kdmzyg1gkm9lqi573szlxbls1ck5wjn4a14ar9fw3"))))
      (arguments
       ;; Disable few failing tests to pass the build.
       (list
        #:test-flags
        #~(list "-k" (string-append "not test_pad"
                                    " and not test_pad_repeat_border"
                                    " and not test_pad_repeat_border_corner"
                                    " and not test_pad_to_size"))
        #:phases
        #~(modify-phases %standard-phases
            (add-after 'unpack 'dont-vendor-six
              (lambda _
                (delete-file "deepdish/six.py")
                (substitute* "deepdish/io/hdf5io.py"
                  (("from deepdish import six") "import six"))
                (substitute* "deepdish/io/ls.py"
                  (("from deepdish import io, six, __version__")
                   "from deepdish import io, __version__
import six
")))))))
      (build-system pyproject-build-system)
      (native-inputs
       (list python-pytest
             python-pandas
             python-setuptools
             python-wheel))
      (propagated-inputs
       (list python-numpy
             python-scipy
             python-six
             python-tables))
      (home-page "https://github.com/uchicago-cs/deepdish")
      (synopsis "Python library for HDF5 file saving and loading")
      (description
       "Deepdish is a Python library to load and save HDF5 files.
The primary feature of deepdish is its ability to save and load all kinds of
data as HDF5.  It can save any Python data structure, offering the same ease
of use as pickling or @code{numpy.save}, but with the language
interoperability offered by HDF5.")
      (license license:bsd-3))))

(define-public python-supersmoother
  (package
    (name "python-supersmoother")


@@ 4746,77 4817,6 @@ Friedman's SuperSmoother} based in Python.  It makes use of numpy for fast
numerical computation.")
    (license license:bsd-2)))

(define-public python-vaex-core
  (package
    (name "python-vaex-core")
    (version "4.18.1")
    (source
     (origin
       (method git-fetch)
       (uri (git-reference
             (url "https://www.github.com/maartenbreddels/vaex")
             (commit (string-append "core-v" version))))
       (file-name (git-file-name name version))
       (sha256
        (base32 "1sp096msbzgjlwi8c1ink2bp4pjff9pvikqz1y1li8d3in4gpgdr"))
       (patches
        (search-patches "python-vaex-core-fix-tsl-use.patch"))
       (modules '((guix build utils)
                  (ice-9 ftw)))
       (snippet
        #~(begin
            ;; Delete everything except for vaex-core itself:
            (define (delete-except exception)
              (lambda (file)
                (unless (member file `("." ".." ,exception))
                  (delete-file-recursively file))))
            (for-each (delete-except "packages") (scandir "."))
            (with-directory-excursion "packages"
              (for-each (delete-except "vaex-core") (scandir ".")))
            (for-each (lambda (file)
                        (unless (member file '("." ".."))
                          (rename-file
                           (string-append "packages/vaex-core/" file)
                           file)))
                      (scandir "packages/vaex-core"))
            (delete-file-recursively "packages")
            (delete-file-recursively "vendor")))))
    (build-system pyproject-build-system)
    (arguments
     ;; require vaex.server and others, which require vaex-core.
     (list #:tests? #false))
    (inputs
     (list boost pcre pybind11 string-view-lite tsl-hopscotch-map))
    (propagated-inputs
     (list python-aplus
           python-blake3
           python-click ;XXX for dask
           python-cloudpickle
           python-dask
           python-filelock
           python-frozendict
           python-future
           python-nest-asyncio
           python-numpy
           python-pandas
           python-progressbar2
           python-pyarrow
           python-pydantic-2
           python-pydantic-settings
           python-pyyaml
           python-requests
           python-rich
           python-six
           python-tabulate))
    (native-inputs
     (list python-pytest python-cython-3 python-setuptools python-wheel))
    (home-page "https://www.github.com/maartenbreddels/vaex")
    (synopsis "Core of Vaex library for exploring tabular datasets")
    (description "Vaex is a high performance Python library for lazy
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-pylems
  (package
    (name "python-pylems")