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python3-Bottleneck-debuginfo - Debug information for package python3-Bottleneck

This package provides debug information for package python3-Bottleneck. Debug information is useful when developing applications that use this package or when debugging this package.
1.3.1
OpenSUSE iconOpenSUSE Tumbleweed
1.2.1
Fedora iconFedora 28
Fedora iconFedora 29
Fedora iconFedora 30
Fedora iconFedora rawhide
OpenSUSE iconOpenSUSE Leap 15.0
OpenSUSE iconOpenSUSE Leap 15.1
1.0.0
OpenSUSE iconOpenSUSE Leap 42.3
DistributionVersionSincePackageInstalledPackager
Fedora iconFedora 28 releases/Everything-debug-treerpm1.2.1-4.fc28Jan 14176 kiB765 kiBFedora Project
Fedora iconFedora 29 releases/Everything-debug-treerpm1.2.1-7.fc29Jan 14198 kiB873 kiBFedora Project
Fedora iconFedora 29 releases-test/Everything-debug-treerpm1.2.1-7.fc29Jan 14198 kiB873 kiBFedora Project
Fedora iconFedora 30 releases/Everything-debug-treerpm1.2.1-8.fc30Jun 17213 kiB972 kiBFedora Project
Fedora iconFedora 30 releases-test/Everything-debug-treerpm1.2.1-8.fc30Jun 17213 kiB972 kiBFedora Project
Fedora iconFedora rawhide development/Everything-debug-treerpm1.2.1-13.fc32Oct 05235 kiB1020 kiBFedora Project
OpenSUSE iconOpenSUSE Leap 15.0 debug/ossrpm1.2.1-lp150.1.4Jan 17145 kiB604 kiBhttps://bugs.opensuse.org
OpenSUSE iconOpenSUSE Leap 15.1 debug/ossrpm1.2.1-lp151.2.4Jan 23146 kiB605 kiBhttps://bugs.opensuse.org
OpenSUSE iconOpenSUSE Leap 42.3 debug/ossrpm1.0.0-5.1Jan 17322 kiB1.63 MiBhttp://bugs.opensuse.org
OpenSUSE iconOpenSUSE Tumbleweed debug/ossrpm1.3.1-1.1Nov 29188 kiB924 kiBhttps://bugs.opensuse.org

Latest updates

OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 1.2.1-1.8 to 1.3.1-1.1

Nov 29
  • specfile:
    • update copyright year
  • update to version 1.3.1:
    • Bug Fixes
      • Fix memory leak in :func:`bottleneck.nanmedian` with the default
      argument of axis=None. Thanks to @jsmodic for reporting!
      (:issue:`276`, :issue:`278`)
      • Add regression test for memory leak case (:issue:`279`)
    • changes from version 1.3.0:
      • Project Updates
        • Bottleneck has a new maintainer, Christopher Whelan (@qwhelan on
        GitHub).
        • Documentation now hosted at https://bottleneck.readthedocs.io
        • 1.3.x will be the last release to support Python 2.7
        • Bottleneck now supports and is tested against Python 3.7 and
        • 8. (:issue:`211`, :issue:`268`)
        • The LICENSE file has been restructured to only include the
        license for the Bottleneck project to aid license audit tools. There has been no change to the licensing of Bottleneck.
        • Licenses for other projects incorporated by Bottleneck are now
        reproduced in full in separate files in the LICENSES/ directory (eg, LICENSES/NUMPY_LICENSE)
        • All licenses have been updated. Notably, setuptools is now MIT
        licensed and no longer under the ambiguous dual PSF/Zope license.
        • Bottleneck now uses PEP 518 for specifying build dependencies,
        with per Python version specifications (:issue:`247`)
      • Enhancements
        • Remove numpydoc package from Bottleneck source distribution
        • :func:`bottleneck.slow.reduce.nansum` and
        :func:`bottleneck.slow.reduce.ss` now longer coerce output to have the same dtype as input
        • Test (tox, travis, appveyor) against latest numpy (in conda)
        • Performance benchmarking also available via asv
        • versioneer now used for versioning (:issue:`213`)
        • Test suite now uses pytest as nose is deprecated (:issue:`222`)
        • python setup.py build_ext --inplace is now incremental
        (:issue:`224`)
        • python setup.py clean now cleans all artifacts (:issue:`226`)
        • Compiler feature support now identified by testing rather than
        hardcoding (:issue:`227`)
        • The BN_OPT_3 macro allows selective use of -O3 at the function
        level (:issue:`223`)
        • Contributors are now automatically cited in the release notes
        (:issue:`244`)
      • Performance
        • Speed up :func:`bottleneck.reduce.anynan` and
        :func:`bottleneck.reduce.allnan` by 2x via BN_OPT_3
        (:issue:`223`)
        • All functions covered by asv benchmarks
        • :func:`bottleneck.nonreduce.replace` speedup of 4x via more
        explicit typing (:issue:`239`)
        • :func:`bottleneck.reduce.median` up to 2x faster for
        Fortran-ordered arrays (:issue:`248`)
      • Bug Fixes
        • Documentation fails to build on Python 3 (:issue:`170`)
        • :func:`bottleneck.benchmark.bench` crashes on python 3.6.3,
        numpy 1.13.3 (:issue:`175`)
        • :func:`bottleneck.nonreduce_axis.push` raises when n=None is
        explicitly passed (:issue:`178`)
        • :func:`bottleneck.reduce.nansum` wrong output when a =
        np.ones((2, 2))[..., np.newaxis] same issue of other reduce functions (:issue:`183`)
        • Silenced FutureWarning from NumPy in the slow version of move
        functions (:issue:`194`)
        • Installing bottleneck onto a system that does not already have
        Numpy (:issue:`195`)
        • Memory leaked when input was not a NumPy array (:issue:`201`)
        • Tautological comparison in :func:`bottleneck.move.move_rank`
        removed (:issue:`207`, :issue:`212`)
      • Cleanup
        • The ez_setup.py module is no longer packaged (:issue:`211`)
        • Building documentation is now self-contained in make doc
        (:issue:`214`)
        • Codebase now flake8 compliant and run on every commit
        • Codebase now uses black for autoformatting (:issue:`253`)
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-12.fc32 to 1.2.1-13.fc32

Oct 05
  • Fix URL
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-11.fc32 to 1.2.1-12.fc32

Oct 05
  • Rebuilt for Python 3.8.0rc1 (#1748018)
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-10.fc31 to 1.2.1-11.fc32

Aug 24
  • Rebuilt for Python 3.8
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-9.fc31 to 1.2.1-10.fc31

Aug 03
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 1.2.1-1.7 to 1.2.1-1.8

Jul 16
  • update to version 1.2.1:
    • #156 Installing bottleneck when two versions of NumPy are present
    • #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
    • #159 Occasional segmentation fault in nanargmin, nanargmax, median, and nanmedian when all of the following conditions are met: axis is None, input array is 2d or greater, and input array is not C contiguous.
    • #163 Reducing np.array([2**31], dtype=np.int64) overflows on Windows
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-8.fc30 to 1.2.1-9.fc31

Jun 29
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 1.2.1-1.5 to 1.2.1-1.7

Jun 19
  • update to version 1.2.1:
    • #156 Installing bottleneck when two versions of NumPy are present
    • #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
    • #159 Occasional segmentation fault in nanargmin, nanargmax, median, and nanmedian when all of the following conditions are met: axis is None, input array is 2d or greater, and input array is not C contiguous.
    • #163 Reducing np.array([2**31], dtype=np.int64) overflows on Windows
Fedora 30 icon

Fedora 30 releases-test/Everything-debug-tree: Version 1.2.1-8.fc30 introduced

Jun 17
Fedora 30 icon

Fedora 30 releases/Everything-debug-tree: Version 1.2.1-8.fc30 introduced

Jun 17
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-7.fc29 to 1.2.1-8.fc30

Feb 12
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Updated from 1.2.1-1.4 to 1.2.1-1.5

Feb 03
  • update to version 1.2.1:
    • #156 Installing bottleneck when two versions of NumPy are present
    • #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
    • #159 Occasional segmentation fault in nanargmin, nanargmax, median, and nanmedian when all of the following conditions are met: axis is None, input array is 2d or greater, and input array is not C contiguous.
    • #163 Reducing np.array([2**31], dtype=np.int64) overflows on Windows
OpenSUSE Leap 15.1 icon

OpenSUSE Leap 15.1 debug/oss: Version 1.2.1-lp151.2.4 introduced

Jan 23
  • update to version 1.2.1:
    • #156 Installing bottleneck when two versions of NumPy are present
    • #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
    • #159 Occasional segmentation fault in nanargmin, nanargmax, median, and nanmedian when all of the following conditions are met: axis is None, input array is 2d or greater, and input array is not C contiguous.
    • #163 Reducing np.array([2**31], dtype=np.int64) overflows on Windows
OpenSUSE Leap 15.0 icon

OpenSUSE Leap 15.0 debug/oss: Version 1.2.1-lp150.1.4 introduced

Jan 17
  • update to version 1.2.1:
    • #156 Installing bottleneck when two versions of NumPy are present
    • #157 Compiling on Ubuntu 14.04 inside a Windows 7 WMware
    • #159 Occasional segmentation fault in nanargmin, nanargmax, median, and nanmedian when all of the following conditions are met: axis is None, input array is 2d or greater, and input array is not C contiguous.
    • #163 Reducing np.array([2**31], dtype=np.int64) overflows on Windows
OpenSUSE Leap 42.3 icon

OpenSUSE Leap 42.3 debug/oss: Version 1.0.0-5.1 introduced

Jan 17
  • specfile:
    • update copyright year
    • removed modname variable
  • update to version 1.0.0:
    • Faster
      • ?python setup.py build? is 18.7 times faster
      • Function-call overhead cut in half?a big speed up for small
      input arrays
      • Arbitrary ndim input arrays accelerated; previously only 1d, 2d,
      and 3d
      • bn.nanrankdata is twice as fast for float input arrays
      • bn.move_max, bn.move_min are faster for int input arrays
      • No speed penalty for reducing along all axes when input is
      Fortran ordered
    • Smaller
      • Compiled binaries 14.1 times smaller
      • Source tarball 4.7 times smaller
      • 9.8 times less C code
      • 4.3 times less Cython code
      • 3.7 times less Python code
    • Beware
      • Requires numpy 1.9.1
      • Single API, e.g.: bn.nansum instead of bn.nansum and
      nansum_2d_float64_axis0
      • On 64-bit systems bn.nansum(int32) returns int32 instead of
      int64
      • bn.nansum now returns 0 for all NaN slices (as does numpy 1.9.1)
      • Reducing over all axes returns, e.g., 6.0; previously
      np.float64(6.0)
      • bn.ss() now has default axis=None instead of axis=0
      • bn.nn() is no longer in bottleneck
    • min_count
      • Previous releases had moving window function pairs: move_sum,
      move_nansum
      • This release only has half of the pairs: move_sum
      • Instead a new input parameter, min_count, has been added
      • min_count=None same as old move_sum; min_count=1 same as old
      move_nansum
      • If # non-NaN values in window < min_count, then NaN assigned to
      the window
      • Exception: move_median does not take min_count as input
    • Bug Fixes
      • Can now install bottleneck with pip even if numpy is not already
      installed
      • bn.move_max, bn.move_min now return float32 for float32 input
OpenSUSE Tumbleweed icon

OpenSUSE Tumbleweed debug/oss: Version 1.2.1-1.4 introduced

Jan 17
  • version 0.5.0
Fedora rawhide icon

Fedora rawhide development/Everything-debug-tree: Updated from 1.2.1-4.fc28 to 1.2.1-7.fc29

Jan 14
Fedora 29 icon

Fedora 29 releases-test/Everything-debug-tree: Version 1.2.1-7.fc29 introduced

Jan 14
Fedora 29 icon

Fedora 29 releases/Everything-debug-tree: Version 1.2.1-7.fc29 introduced

Jan 14
Fedora 28 icon

Fedora 28 releases/Everything-debug-tree: Version 1.2.1-4.fc28 introduced

Jan 14

Related packages

python3 - interactive high-level object-oriented language (default python3 version)
python3-bottleneck - Collection of fast NumPy array functions written in Cython
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