10000 Merge branch 'master' into add-shape-to-like-array-creation · pentschev/numpy@c3ac08e · GitHub
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Merge branch 'master' into add-shape-to-like-array-creation
2 parents f53afbe + 31e71d7 commit c3ac08e
  • loops.h.src
  • ufunc_object.c
  • ufunc_type_resolution.c
  • ufunc_type_resolution.h
  • tests
  • ctypeslib.py
  • distutils
  • doc
  • f2py
  • fft/tests
  • lib
  • ma
  • polynomial
  • random/mtrand
  • setup.py
  • shippable.yml
  • tools

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    76 files changed

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    ‎.travis.yml

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    env:
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    # for matrix annotation only
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    - PPC64_LE=1
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    # use POWER8 OpenBLAS build, not system ATLAS
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    - ATLAS=None
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    before_install:
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    - ./tools/travis-before-install.sh

    ‎MANIFEST.in

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    @@ -8,7 +8,6 @@ include MANIFEST.in
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    include pytest.ini
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    include *.txt
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    include site.cfg.example
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    include numpy/random/mtrand/generate_mtrand_c.py
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    recursive-include numpy/random/mtrand *.pyx *.pxd
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    # Add build support that should go in sdist, but not go in bdist/be installed
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    # Note that sub-directories that don't have __init__ are apparently not

    ‎benchmarks/benchmarks/bench_function_base.py

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    @@ -199,6 +199,7 @@ class Sort(Benchmark):
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    ['quick', 'merge', 'heap'],
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    ['float64', 'int64', 'uint64'],
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    [
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    ('random',),
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    ('ordered',),
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    ('reversed',),
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    ('uniform',),

    ‎doc/release/1.16.1-notes.rst

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    @@ -80,9 +80,9 @@ Improvements
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    Further improvements to ``ctypes`` support in ``np.ctypeslib``
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    --------------------------------------------------------------
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    A new ``np.ctypeslib.as_ctypes_type`` function has been added, which can be
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    A new `numpy.ctypeslib.as_ctypes_type` function has been added, which can be
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    used to converts a `dtype` into a best-guess `ctypes` type. Thanks to this
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    new function, ``np.ctypeslib.as_ctypes`` now supports a much wider range of
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    new function, `numpy.ctypeslib.as_ctypes` now supports a much wider range of
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    array types, including structures, booleans, and integers of non-native
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    endianness.
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    ‎doc/release/1.17.0-notes.rst

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    If the out argument to these functions is provided and has memory overlap with
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    the other arguments, it is now buffered to avoid order-dependent behavior.
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    Unpickling while loading requires explicit opt-in
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    -------------------------------------------------
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    The functions ``np.load``, and ``np.lib.format.read_array`` take an
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    `allow_pickle` keyword which now defaults to ``False`` in response to
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    `CVE-2019-6446 <https://nvd.nist.gov/vuln/detail/CVE-2019-6446>`_.
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    C API changes
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    =============
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    This mode pads an array to a desired shape without initializing the new
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    entries.
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    ``np.empty_like`` and related functions now accept a ``shape`` argument
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    -----------------------------------------------------------------------
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    ``np.empty_like``, ``np.full_like``, ``np.ones_like`` and ``np.zeros_like`` now
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    of new arbitrary-shape arrays from NumPy-like libraries when such an array
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    is used as the prototype.
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    Floating point scalars implement ``as_integer_ratio`` to match the builtin float
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    --------------------------------------------------------------------------------
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    This returns a (numerator, denominator) pair, which can be used to construct a
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    `fractions.Fraction`.
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    Improvements
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    ============
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    Further improvements to ``ctypes`` support in ``np.ctypeslib``
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    --------------------------------------------------------------
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    A new ``np.ctypeslib.as_ctypes_type`` function has been added, which can be
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    A new `numpy.ctypeslib.as_ctypes_type` function has been added, which can be
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    used to converts a `dtype` into a best-guess `ctypes` type. Thanks to this
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    new function, ``np.ctypeslib.as_ctypes`` now supports a much wider range of
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    new function, `numpy.ctypeslib.as_ctypes` now supports a much wider range of
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    array types, including structures, booleans, and integers of non-native
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    endianness.
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    which allows us to provide specialized ufuncs that are up to 250x faster than the current
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    approach.
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    ``np.isfinite`` supports ``datetime64`` and ``timedelta64`` types
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    -----------------------------------------------------------------
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    Previously, `np.isfinite` used to raise a ``TypeError`` on being used on these
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    two types.
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    New keywords added to ``np.nan_to_num``
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    ---------------------------------------
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    ``np.nan_to_num`` now accepts keywords ``nan``, ``posinf`` and ``neginf`` allowing the
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    user to define the value to replace the ``nan``, positive and negative ``np.inf`` values
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    respectively.
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    Changes
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    =======

    ‎doc/source/dev/governance/people.rst

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    Institutional Partners
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    ----------------------
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    * UC Berkeley (Stefan van der Walt)
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    * UC Berkeley (Stefan van der Walt, Matti Picus, Tyler Reddy)
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    * Quansight (Ralf Gommers, Hameer Abbasi)
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    Document history
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    ----------------
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    https://github.com/numpy/numpy/commits/master/doc/source/dev/governance/governance.rst

    ‎doc/source/reference/routines.ctypeslib.rst

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    .. autofunction:: as_ctypes
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    .. autofunction:: as_ctypes_type
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    .. autofunction:: ctypes_load_library
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    .. autofunction:: load_library
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    .. autofunction:: ndpointer

    ‎doc/source/reference/routines.math.rst

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    real
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    imag
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    conj
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    conjugate
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    Miscellaneous

    ‎doc/source/reference/ufuncs.rst

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    sign
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    heaviside
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    conj
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    conjugate
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    exp
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    exp2
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    log

    ‎doc/source/user/quickstart.rst

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    - The `Python tutorial <https://docs.python.org/tutorial/>`__
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    - :ref:`reference`
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    - `SciPy Tutorial <https://docs.scipy.org/doc/scipy/reference/tutorial/index.html>`__
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    - `SciPy Lecture Notes <https://www.scipy-lectures.org>`__
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    - `SciPy Lecture Notes <https://scipy-lectures.org>`__
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    - A `matlab, R, IDL, NumPy/SciPy dictionary <http://mathesaurus.sf.net/>`__

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