Artifact pytables_3.10.1-1

Metadata
dsc_fields:
  Architecture: any all
  Binary: python3-tables, python3-tables-lib, python-tables-doc, python-tables-data
  Build-Depends: cython3, debhelper-compat (= 13), dh-python, dh-sequence-numpy3,
    dh-sequence-python3, dh-sequence-sphinxdoc, libblosc-dev, libblosc2-dev, libbz2-dev,
    libhdf5-dev, libjs-jquery-cookie <!nodoc>, libjs-mathjax <!nodoc>, liblz4-dev,
    liblzo2-dev, libsnappy-dev, libzstd-dev, pybuild-plugin-pyproject, python3-all-dev,
    python3-cpuinfo, python3-ipython <!nodoc>, python3-numexpr (>= 2.8.7), python3-numpy,
    python3-numpydoc <!nodoc>, python3-packaging, python3-sphinx <!nodoc>, python3-sphinx-rtd-theme
    <!nodoc>, python3-setuptools, python3-typing-extensions, zlib1g-dev
  Checksums-Sha1:
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    sha1: 6ddc05496ab3415872d8c8513a4fc716a0b69396
    size: '3850578'
  - name: pytables_3.10.1-1.debian.tar.xz
    sha1: f6babe0a6959db282282cc6cffa5ea1d351d9ab8
    size: '19536'
  Checksums-Sha256:
  - name: pytables_3.10.1.orig.tar.gz
    sha256: 8c9ad8aa1fc9053b239cb7eb1697e983e0d64eefd711686381a686145bdb35ff
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  - name: pytables_3.10.1-1.debian.tar.xz
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  Description: |-
    Hierarchical database for Python3 based on HDF5
     PyTables is a package for managing hierarchical datasets and designed
     to efficiently cope with extremely large amounts of data.
     .
     It is built on top of the HDF5 library and the NumPy package. It
     features an object-oriented interface that, combined with C extensions
     for the performance-critical parts of the code (generated using
     Cython), makes it a fast, yet extremely easy to use tool for
     interactively save and retrieve very large amounts of data. One
     important feature of PyTables is that it optimizes memory and disk
     resources so that they take much less space (between a factor 3 to 5,
     and more if the data is compressible) than other solutions, like for
     example, relational or object oriented databases.
     .
      - Compound types (records) can be used entirely from Python (i.e. it
        is not necessary to use C for taking advantage of them).
      - The tables are both enlargeable and compressible.
      - I/O is buffered, so you can get very fast I/O, specially with
        large tables.
      - Very easy to select data through the use of iterators over the
        rows in tables. Extended slicing is supported as well.
      - It supports the complete set of NumPy objects.
  Files:
  - md5sum: 1432897e19110972d9dba1189c0bf6b5
    name: pytables_3.10.1.orig.tar.gz
    size: '3850578'
  - md5sum: c2e98aff16ee9969fafe3b0aac732085
    name: pytables_3.10.1-1.debian.tar.xz
    size: '19536'
  Format: 3.0 (quilt)
  Homepage: https://www.pytables.org
  Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
  Package-List: |2-

     python-tables-data deb python optional arch=all
     python-tables-doc deb doc optional arch=all
     python3-tables deb python optional arch=all
     python3-tables-lib deb python optional arch=any
  Source: pytables
  Standards-Version: 4.7.0
  Testsuite: autopkgtest-pkg-pybuild
  Uploaders: Antonio Valentino <antonio.valentino@tiscali.it>, Yaroslav Halchenko
    <debian@onerussian.com>
  Vcs-Browser: https://salsa.debian.org/science-team/pytables
  Vcs-Git: https://salsa.debian.org/science-team/pytables.git
  Version: 3.10.1-1
name: pytables
type: dpkg
version: 3.10.1-1

Files

Name Size (bytes)
pytables_3.10.1-1.debian.tar.xz 19.1 KB
pytables_3.10.1-1.dsc 4.0 KB
pytables_3.10.1.orig.tar.gz 3.7 MB

source package System - - 3 months, 1 week ago 2 months, 1 week
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