- update to version 1.18.0:
+ Highlights
* The C-API for ``numpy.random`` has been defined and documented.
* Basic infrastructure for linking with 64 bit BLAS and LAPACK libraries.
* Many documentation improvements.
+ New functions
* Multivariate hypergeometric distribution added to ``numpy.random``
+ Deprecations
* ``np.fromfile`` and ``np.fromstring`` will error on bad data
* Deprecate non-scalar arrays as fill values in ``ma.fill_value``
* Deprecate ``PyArray_As1D``, ``PyArray_As2D``
* Deprecate ``np.alen``
* Deprecate the financial functions
* The ``axis`` argument to ``numpy.ma.mask_cols`` and ``numpy.ma.mask_row`` is deprecated
+ Expired deprecations
* ``PyArray_As1D`` and ``PyArray_As2D`` have been removed in favor of
``PyArray_AsCArray``
* ``np.rank`` has been removed. This was deprecated in NumPy 1.10
and has been replaced by ``np.ndim``.
* The deprecation of ``expand_dims`` out-of-range axes in 1.13.0 has
expired.
* ``PyArray_FromDimsAndDataAndDescr`` and ``PyArray_FromDims`` have been
removed (they will always raise an error). Use ``PyArray_NewFromDescr``
and ``PyArray_SimpleNew`` instead.
* ``numeric.loads``, ``numeric.load``, ``np.ma.dump``,
``np.ma.dumps``, ``np.ma.load``, ``np.ma.loads`` are removed,
use ``pickle`` methods instead
* ``arrayprint.FloatFormat``, ``arrayprint.LongFloatFormat`` has been removed,
use ``FloatingFormat`` instead
* ``arrayprint.ComplexFormat``, ``arrayprint.LongComplexFormat`` has been
removed, use ``ComplexFloatingFormat`` instead
* ``arrayprint.StructureFormat`` has been removed, use ``StructureVoidFormat``
instead
* ``np.testing.rand`` has been removed. This was deprecated in NumPy 1.11
and has been replaced by ``np.random.rand``.
* Class ``SafeEval`` in ``numpy/lib/utils.py`` has been removed.
This was deprecated in NumPy 1.10. Use ``np.safe_eval`` instead.
* Remove deprecated support for boolean and empty condition lists in
``np.select``
* Array order only accepts 'C', 'F', 'A', and 'K'. More permissive options
were deprecated in NumPy 1.11.
* np.linspace parameter ``num`` must be an integer. Deprecated in NumPy 1.12.
* UFuncs with multiple outputs must use a tuple for the ``out`` kwarg. This
finishes a deprecation started in NumPy 1.10.
* The files ``numpy/testing/decorators.py``, ``numpy/testing/noseclasses.py``
and ``numpy/testing/nosetester.py`` have been removed. They were never
meant to be public (all relevant objects are present in the
``numpy.testing`` namespace), and importing them has given a deprecation
warning since NumPy 1.15.0
+ Compatibility notes
* `numpy.lib.recfunctions.drop_fields` can no longer return None
* ``numpy.argmin/argmax/min/max`` returns ``NaT`` if it exists in array
* ``np.can_cast(np.uint64, np.timedelta64, casting='safe')`` is now ``False``
* Changed random variate stream from ``numpy.random.Generator.integers``
* Add more ufunc loops for ``datetime64``, ``timedelta64``
* Moved modules in ``numpy.random``
+ C API changes
* ``PyDataType_ISUNSIZED(descr)`` now returns False for structured datatypes
+ New Features
* Add our own ``*.pxd`` cython import file
* A tuple of axes can now be input to ``expand_dims``
* Support for 64-bit OpenBLAS
* Add ``--f2cmap`` option to F2PY
+ Improvements
* Different C numeric types of the same size have unique names
* ``argwhere`` now produces a consistent result on 0d arrays
* Add ``axis`` argument for ``random.permutation`` and ``random.shuffle``
* ``method`` keyword argument for ``np.random.multivariate_normal``
* Add complex number support for ``numpy.fromstring``
* ``numpy.unique`` has consistent axes order when ``axis`` is not None
* ``numpy.matmul`` with boolean output now converts to boolean values
* ``numpy.random.randint`` produced incorrect value when the range was ``2**32``
* Add complex number support for ``numpy.fromfile``
* ``std=c99`` added if compiler is named ``gcc``
+ Changes
* ``NaT`` now sorts to the end of arrays
* Incorrect ``threshold`` in ``np.set_printoptions`` raises ``TypeError`` or ``ValueError``
* Warn when saving a dtype with metadata
* ``numpy.distutils`` append behavior changed for LDFLAGS and similar
* Remove ``numpy.random.entropy`` without a deprecation
* Add options to quiet build configuration and build with ``-Werror``
OBS-URL: https://build.opensuse.org/request/show/761226
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=47
* #14418: BUG: Fix aradixsort indirect indexing.
* #14420: DOC: Fix a minor typo in dispatch documentation.
* #14421: BUG: test, fix regression in converting to ctypes
* #14430: BUG: Do not show Override module in private error classes.
* #14432: BUG: Fixed maximum relative error reporting in assert_allclose.
* #14433: BUG: Fix uint-overflow if padding with linear_ramp and negative...
* #14436: BUG: Update 1.17.x with 1.18.0-dev pocketfft.py.
- Add dep on pytest-xdist and use threaded tests execution
shaving around 400s on local build
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=36
- Update to version 1.17.0
Highlights
* A new extensible random module along with four selectable random number
generators and improved seeding designed for use in parallel processes has
been added. The currently available bit generators are MT19937, PCG64,
Philox, and SFC64.
* NumPy's FFT implementation was changed from fftpack to pocketfft, resulting
in faster, more accurate transforms and better handling of datasets of
prime length.
* New radix sort and timsort sorting methods. It is currently not possible to
choose which will be used, but they are hardwired to the datatype and used
when either ``stable`` or ``mergesort`` is passed as the method.
* Overriding numpy functions is now possible by default.
- Python 2 support has been dropped
- Rebase numpy-buildfix.patch
OBS-URL: https://build.opensuse.org/request/show/719304
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=30
- update to version 1.16.3
NumPy 1.16.3 Release Notes:
The NumPy 1.16.3 release fixes bugs reported against the 1.16.2 release, and
also backports several enhancements from master that seem appropriate for a
release series that is the last to support Python 2.7. The wheels on PyPI are
linked with OpenBLAS v0.3.4+, which should fix the known threading issues
found in previous OpenBLAS versions.
Downstream developers building this release should use Cython >= 0.29.2 and,
if using OpenBLAS, OpenBLAS > v0.3.4.
The most noticeable change in this release is that unpickling object arrays
when loading *.npy or *.npz files now requires an explicit opt-in.
This backwards incompatible change was made in response to
CVE-2019-6446 <https://nvd.nist.gov/vuln/detail/CVE-2019-6446>_.
Compatibility notes
Unpickling while loading requires explicit opt-in
The functions np.load, and np.lib.format.read_array take an
allow_pickle keyword which now defaults to False in response to
CVE-2019-6446 <https://nvd.nist.gov/vuln/detail/CVE-2019-6446>_.
Improvements
Covariance in random.mvnormal cast to double
This should make the tolerance used when checking the singular values of the
covariance matrix more meaningful.
Changes
__array_interface__ offset now works as documented
The interface may use an offset value that was previously mistakenly
ignored.
OBS-URL: https://build.opensuse.org/request/show/703311
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-numpy?expand=0&rev=25
