Hi All,
I am pleased to announce the release of NumPy 1.12.0rc1. This release
supports Python 2.7 and 3.4 - 3.6 and is the result of 406 pull requests
submitted by 139 contributors and comprises a large number of fixes and
improvements. Among the many improvements it is difficult to pick out just
a few as standing above the others, but the following may be of particular
interest or indicate areas likely to have future consequences.
* Order of operations in ``np.einsum`` can now be optimized for large speed
improvements.
* New ``signature`` argument to ``np.vectorize`` for vectorizing with core
dimensions.
* The ``keepdims`` argument was added to many functions.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)
The release notes are quite sizable and rather than put them inline I've
attached them as a file. They may also be viewed at Github
<https://github.com/numpy/numpy/releases/tag/v1.12.0rc1>. Zip files and
tarballs may also be found the Github link. Wheels and a zip archive are
available from PyPI, which is the recommended method of installation.
Cheers,
Charles Harris
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==========================
NumPy 1.12.0 Release Notes
==========================
This release supports Python 2.7 and 3.4 - 3.6.
Highlights
==========
The NumPy 1.12.0 release contains a large number of fixes and improvements, but
few that stand out above all others. That makes picking out the highlights
somewhat arbitrary but the following may be of particular interest or indicate
areas likely to have future consequences.
* Order of operations in ``np.einsum`` can now be optimized for large speed
improvements.
* New ``signature`` argument to ``np.vectorize`` for vectorizing with core
dimensions.
* The ``keepdims`` argument was added to many functions.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)
Dropped Support
===============
* Support for Python 2.6, 3.2, and 3.3 has been dropped.
Added Support
=============
* Support for PyPy 2.7 v5.6.0 has been added. While not complete (nditer
``updateifcopy`` is not supported yet), this is a milestone for PyPy's
C-API compatibility layer.
Build System Changes
====================
* Library order is preserved, instead of being reordered to match that of
the directories.
Deprecations
============
Assignment of ndarray object's ``data`` attribute
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Assigning the 'data' attribute is an inherently unsafe operation as pointed
out in gh-7083. Such a capability will be removed in the future.
Unsafe int casting of the num attribute in ``linspace``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``np.linspace`` now raises DeprecationWarning when num cannot be safely
interpreted as an integer.
Insufficient bit width parameter to ``binary_repr``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If a 'width' parameter is passed into ``binary_repr`` that is insufficient to
represent the number in base 2 (positive) or 2's complement (negative) form,
the function used to silently ignore the parameter and return a representation
using the minimal number of bits needed for the form in question. Such behavior
is now considered unsafe from a user perspective and will raise an error in the
future.
Future Changes
==============
* In 1.13 NAT will always compare False except for ``NAT != NAT``,
which will be True. In short, NAT will behave like NaN
* In 1.13 np.average will preserve subclasses, to match the behavior of most
other numpy functions such as np.mean. In particular, this means calls which
returned a scalar may return a 0-d subclass object instead.
Multiple-field manipulation of structured arrays
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In 1.13 the behavior of structured arrays involving multiple fields will change
in two ways:
First, indexing a structured array with multiple fields (eg,
``arr[['f1', 'f3']]``) will return a view into the original array in 1.13,
instead of a copy. Note the returned view will have extra padding bytes
corresponding to intervening fields in the original array, unlike the copy in
1.12, which will affect code such as ``arr[['f1', 'f3']].view(newdtype)``.
Second, for numpy versions 1.6 to 1.12 assignment between structured arrays
occurs "by field name": Fields in the destination array are set to the
identically-named field in the source array or to 0 if the source does not have
a field::
>>> a = np.array([(1,2),(3,4)], dtype=[('x', 'i4'), ('y', 'i4')])
>>> b = np.ones(2, dtype=[('z', 'i4'), ('y', 'i4'), ('x', 'i4')])
>>> b[:] = a
>>> b
array([(0, 2, 1), (0, 4, 3)],
dtype=[('z', '<i4'), ('y', '<i4'), ('x', '<i4')])
In 1.13 assignment will instead occur "by position": The Nth field of the
destination will be set to the Nth field of the source regardless of field
name. The old behavior can be obtained by using indexing to reorder the fields
before
assignment, e.g., ``b[['x', 'y']] = a[['y', 'x']]``.
Compatibility notes
===================
DeprecationWarning to error
~~~~~~~~~~~~~~~~~~~~~~~~~~~
* Indexing with floats raises ``IndexError``,
e.g., a[0, 0.0].
* Indexing with non-integer array_like raises ``IndexError``,
e.g., ``a['1', '2']``
* Indexing with multiple ellipsis raises ``IndexError``,
e.g., ``a[..., ...]``.
* Non-integers used as index values raise ``TypeError``,
e.g., in ``reshape``, ``take``, and specifying reduce axis.
FutureWarning to changed behavior
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
* ``np.full`` now returns an array of the fill-value's dtype if no dtype is
given, instead of defaulting to float.
* np.average will emit a warning if the argument is a subclass of ndarray,
as the subclass will be preserved starting in 1.13. (see Future Changes)
``power`` and ``**`` raise errors for integer to negative integer powers
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The previous behavior depended on whether numpy scalar integers or numpy
integer arrays were involved.
For arrays
* Zero to negative integer powers returned least integral value.
* Both 1, -1 to negative integer powers returned correct values.
* The remaining integers returned zero when raised to negative integer powers.
For scalars
* Zero to negative integer powers returned least integral value.
* Both 1, -1 to negative integer powers returned correct values.
* The remaining integers sometimes returned zero, sometimes the
correct float depending on the integer type combination.
All of these cases now raise a ``ValueError`` except for those integer
combinations whose common type is float, for instance uint64 and int8. It was
felt that a simple rule was the best way to go rather than have special
exceptions for the integer units. If you need negative powers, use an inexact
type.
Relaxed stride checking is the default
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This will have some impact on code that assumed that ``F_CONTIGUOUS`` and
``C_CONTIGUOUS`` were mutually exclusive and could be set to determine the
default order for arrays that are now both.
The ``np.percentile`` 'midpoint' interpolation method fixed for exact indices
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The 'midpoint' interpolator now gives the same result as 'lower' and 'higher'
when
the two coincide. Previous behavior of 'lower' + 0.5 is fixed.
``keepdims`` kwarg is passed through to user-class methods
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
numpy functions that take a ``keepdims`` kwarg now pass the value
through to the corresponding methods on ndarray sub-classes. Previously the
``keepdims`` keyword would be silently dropped. These functions now have
the following behavior:
1. If user does not provide ``keepdims``, no keyword is passed to the underlying
method.
2. Any user-provided value of ``keepdims`` is passed through as a keyword
argument to the method.
This will raise in the case where the method does not support a
``keepdims`` kwarg and the user explicitly passes in ``keepdims``.
The following functions are changed: ``sum``, ``product``,
``sometrue``, ``alltrue``, ``any``, ``all``, ``amax``, ``amin``,
``prod``, ``mean``, ``std``, ``var``, ``nanmin``, ``nanmax``,
``nansum``, ``nanprod``, ``nanmean``, ``nanmedian``, ``nanvar``,
``nanstd``
``bitwise_and`` identity changed
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The previous identity was 1, it is now -1. See entry in `Improvements`_ for
more explanation.
ma.median warns and returns nan when unmasked invalid values are encountered
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Similar to unmasked median the masked median `ma.median` now emits a Runtime
warning and returns `NaN` in slices where an unmasked `NaN` is present.
Greater consistancy in ``assert_almost_equal``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The precision check for scalars has been changed to match that for arrays. It
is now::
abs(actual - desired) < 1.5 * 10**(-decimal)
Note that this is looser than previously documented, but agrees with the
previous implementation used in ``assert_array_almost_equal``. Due to the
change in implementation some very delicate tests may fail that did not
fail before.
``NoseTester`` behaviour of warnings during testing
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
When ``raise_warnings="develop"`` is given, all uncaught warnings will now
be considered a test failure. Previously only selected ones were raised.
Warnings which are not caught or raised (mostly when in release mode)
will be shown once during the test cycle similar to the default python
settings.
``assert_warns`` and ``deprecated`` decorator more specific
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``assert_warns`` function and context manager are now more specific
to the given warning category. This increased specificity leads to them
being handled according to the outer warning settings. This means that
no warning may be raised in cases where a wrong category warning is given
and ignored outside the context. Alternatively the increased specificity
may mean that warnings that were incorrectly ignored will now be shown
or raised. See also the new ``suppress_warnings`` context manager.
The same is true for the ``deprecated`` decorator.
C API
~~~~~
No changes.
New Features
============
Writeable keyword argument for ``as_strided``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``np.lib.stride_tricks.as_strided`` now has a ``writeable``
keyword argument. It can be set to False when no write operation
to the returned array is expected to avoid accidental
unpredictable writes.
``axes`` keyword argument for ``rot90``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``axes`` keyword argument in ``rot90`` determines the plane in which the
array is rotated. It defaults to ``axes=(0,1)`` as in the originial function.
Generalized ``flip``
~~~~~~~~~~~~~~~~~~~~
``flipud`` and ``fliplr`` reverse the elements of an array along axis=0 and
axis=1 respectively. The newly added ``flip`` function reverses the elements of
an array along any given axis.
* ``np.count_nonzero`` now has an ``axis`` parameter, allowing
non-zero counts to be generated on more than just a flattened
array object.
BLIS support in ``numpy.distutils``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Building against the BLAS implementation provided by the BLIS library is now
supported. See the ``[blis]`` section in ``site.cfg.example`` (in the root of
the numpy repo or source distribution).
Hook in ``numpy/__init__.py`` to run distribution-specific checks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Binary distributions of numpy may need to run specific hardware checks or load
specific libraries during numpy initialization. For example, if we are
distributing numpy with a BLAS library that requires SSE2 instructions, we
would like to check the machine on which numpy is running does have SSE2 in
order to give an informative error.
Add a hook in ``numpy/__init__.py`` to import a ``numpy/_distributor_init.py``
file that will remain empty (bar a docstring) in the standard numpy source,
but that can be overwritten by people making binary distributions of numpy.
New nanfunctions ``nancumsum`` and ``nancumprod`` added
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Nan-functions ``nancumsum`` and ``nancumprod`` have been added to
compute ``cumsum`` and ``cumprod`` by ignoring nans.
``np.interp`` can now interpolate complex values
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``np.lib.interp(x, xp, fp)`` now allows the interpolated array ``fp``
to be complex and will interpolate at ``complex128`` precision.
New polynomial evaluation function ``polyvalfromroots`` added
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The new function ``polyvalfromroots`` evaluates a polynomial at given points
from the roots of the polynomial. This is useful for higher order polynomials,
where expansion into polynomial coefficients is inaccurate at machine
precision.
New array creation function ``geomspace`` added
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The new function ``geomspace`` generates a geometric sequence. It is similar
to ``logspace``, but with start and stop specified directly:
``geomspace(start, stop)`` behaves the same as
``logspace(log10(start), log10(stop))``.
New context manager for testing warnings
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
A new context manager ``suppress_warnings`` has been added to the testing
utils. This context manager is designed to help reliably test warnings.
Specifically to reliably filter/ignore warnings. Ignoring warnings
by using an "ignore" filter in Python versions before 3.4.x can quickly
result in these (or similar) warnings not being tested reliably.
The context manager allows to filter (as well as record) warnings similar
to the ``catch_warnings`` context, but allows for easier specificity.
Also printing warnings that have not been filtered or nesting the
context manager will work as expected. Additionally, it is possible
to use the context manager as a decorator which can be useful when
multiple tests give need to hide the same warning.
New masked array functions ``ma.convolve`` and ``ma.correlate`` added
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
These functions wrapped the non-masked versions, but propagate through masked
values. There are two different propagation modes. The default causes masked
values to contaminate the result with masks, but the other mode only outputs
masks if there is no alternative.
New ``float_power`` ufunc
~~~~~~~~~~~~~~~~~~~~~~~~~
The new ``float_power`` ufunc is like the ``power`` function except all
computation is done in a minimum precision of float64. There was a long
discussion on the numpy mailing list of how to treat integers to negative
integer powers and a popular proposal was that the ``__pow__`` operator should
always return results of at least float64 precision. The ``float_power``
function implements that option. Note that it does not support object arrays.
``np.loadtxt`` now supports a single integer as ``usecol`` argument
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Instead of using ``usecol=(n,)`` to read the nth column of a file
it is now allowed to use ``usecol=n``. Also the error message is
more user friendly when a non-integer is passed as a column index.
Improved automated bin estimators for ``histogram``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Added 'doane' and 'sqrt' estimators to ``histogram`` via the ``bins``
argument. Added support for range-restricted histograms with automated
bin estimation.
``np.roll`` can now roll multiple axes at the same time
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ``shift`` and ``axis`` arguments to ``roll`` are now broadcast against each
other, and each specified axis is shifted accordingly.
The ``__complex__`` method has been implemented for the ndarrays
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Calling ``complex()`` on a size 1 array will now cast to a python
complex.
``pathlib.Path`` objects now supported
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The standard ``np.load``, ``np.save``, ``np.loadtxt``, ``np.savez``, and similar
functions can now take ``pathlib.Path`` objects as an argument instead of a
filename or open file object.
New ``bits`` attribute for ``np.finfo``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This makes ``np.finfo`` consistent with ``np.iinfo`` which already has that
attribute.
New ``signature`` argument to ``np.vectorize``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
This argument allows for vectorizing user defined functions with core
dimensions, in the style of NumPy's
:ref:`generalized universal functions<c-api.generalized-ufuncs>`. This allows
for vectorizing a much broader class of functions. For example, an arbitrary
distance metric that combines two vectors to produce a scalar could be
vectorized with ``signature='(n),(n)->()'``. See ``np.vectorize`` for full
details.
Emit py3kwarnings for division of integer arrays
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To help people migrate their code bases from Python 2 to Python 3, the
python interpreter has a handy option -3, which issues warnings at runtime.
One of its warnings is for integer division::
$ python -3 -c "2/3"
-c:1: DeprecationWarning: classic int division
In Python 3, the new integer division semantics also apply to numpy arrays.
With this version, numpy will emit a similar warning::
$ python -3 -c "import numpy as np; np.array(2)/np.array(3)"
-c:1: DeprecationWarning: numpy: classic int division
numpy.sctypes now includes bytes on Python3 too
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Previously, it included str (bytes) and unicode on Python2, but only str
(unicode) on Python3.
Improvements
============
``bitwise_and`` identity changed
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The previous identity was 1 with the result that all bits except the LSB were
masked out when the reduce method was used. The new identity is -1, which
should work properly on twos complement machines as all bits will be set to
one.
Generalized Ufuncs will now unlock the GIL
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Generalized Ufuncs, including most of the linalg module, will now unlock
the Python global interpreter lock.
Caches in `np.fft` are now bounded in total size and item count
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The caches in `np.fft` that speed up successive FFTs of the same length can no
longer grow without bounds. They have been replaced with LRU (least recently
used) caches that automatically evict no longer needed items if either the
memory size or item count limit has been reached.
Improved handling of zero-width string/unicode dtypes
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Fixed several interfaces that explicitly disallowed arrays with zero-width
string dtypes (i.e. ``dtype('S0')`` or ``dtype('U0')``, and fixed several
bugs where such dtypes were not handled properly. In particular, changed
``ndarray.__new__`` to not implicitly convert ``dtype('S0')`` to
``dtype('S1')`` (and likewise for unicode) when creating new arrays.
Integer ufuncs vectorized with AVX2
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
If the cpu supports it at runtime the basic integer ufuncs now use AVX2
instructions. This feature is currently only available when compiled with GCC.
Order of operations optimization in ``np.einsum``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
``np.einsum`` now supports the ``optimize`` argument which will optimize the
order of contraction. For example, ``np.einsum`` would complete the chain dot
example ``np.einsum(‘ij,jk,kl->il’, a, b, c)`` in a single pass which would
scale like ``N^4``; however, when ``optimize=True`` ``np.einsum`` will create
an intermediate array to reduce this scaling to ``N^3`` or effectively
``np.dot(a, b).dot(c)``. Usage of intermediate tensors to reduce scaling has
been applied to the general einsum summation notation. See ``np.einsum_path``
for more details.
quicksort has been changed to an introsort
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The quicksort kind of ``np.sort`` and ``np.argsort`` is now an introsort which
is regular quicksort but changing to a heapsort when not enough progress is
made. This retains the good quicksort performance while changing the worst case
runtime from ``O(N^2)`` to ``O(N*log(N))``.
``ediff1d`` improved performance and subclass handling
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The ediff1d function uses an array instead on a flat iterator for the
subtraction. When to_begin or to_end is not None, the subtraction is performed
in place to eliminate a copy operation. A side effect is that certain
subclasses are handled better, namely astropy.Quantity, since the complete
array is created, wrapped, and then begin and end values are set, instead of
using concatenate.
Improved precision of ``ndarray.mean`` for float16 arrays
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The computation of the mean of float16 arrays is now carried out in float32 for
improved precision. This should be useful in packages such as scikit-learn
where the precision of float16 is adequate and its smaller footprint is
desireable.
Changes
=======
All array-like methods are now called with keyword arguments in fromnumeric.py
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Internally, many array-like methods in fromnumeric.py were being called with
positional arguments instead of keyword arguments as their external signatures
were doing. This caused a complication in the downstream 'pandas' library
that encountered an issue with 'numpy' compatibility. Now, all array-like
methods in this module are called with keyword arguments instead.
Operations on np.memmap objects return numpy arrays in most cases
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Previously operations on a memmap object would misleadingly return a memmap
instance even if the result was actually not memmapped. For example,
``arr + 1`` or ``arr + arr`` would return memmap instances, although no memory
from the output array is memmaped. Version 1.12 returns ordinary numpy arrays
from these operations.
Also, reduction of a memmap (e.g. ``.sum(axis=None``) now returns a numpy
scalar instead of a 0d memmap.
stacklevel of warnings increased
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The stacklevel for python based warnings was increased so that most warnings
will report the offending line of the user code instead of the line the
warning itself is given. Passing of stacklevel is now tested to ensure that
new warnings will receive the ``stacklevel`` argument.
This causes warnings with the "default" or "module" filter to be shown once
for every offending user code line or user module instead of only once. On
python versions before 3.4, this can cause warnings to appear that were falsely
ignored before, which may be surprising especially in test suits.
Contributors to maintenance/1.12.x
==================================
A total of 139 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
- - Aditya Panchal
- - Ales Erjavec +
- - Alex Griffing
- - Alexandr Shadchin +
- - Alistair Muldal
- - Allan Haldane
- - Amit Aronovitch +
- - Andrei Kucharavy +
- - Antony Lee
- - Antti Kaihola +
- - Arne de Laat +
- - Auke Wiggers +
- - AustereCuriosity +
- - Badhri Narayanan Krishnakumar +
- - Ben North +
- - Ben Rowland +
- - Bertrand Lefebvre
- - Boxiang Sun
- - CJ Carey
- - Charles Harris
- - Christoph Gohlke
- - Daniel Ching +
- - Daniel Rasmussen +
- - Daniel Smith +
- - David Schaich +
- - Denis Alevi +
- - Devin Jeanpierre +
- - Dmitry Odzerikho
- - Dongjoon Hyun +
- - Edward Richards +
- - Ekaterina Tuzova +
- - Emilien Kofman +
- - Endolith
- - Eren Sezener +
- - Eric Moore
- - Eric Quintero +
- - Eric Wieser +
- - Erik M. Bray
- - Frederic Bastien +
- - Friedrich Dunne +
- - Gerrit Holl
- - Golnaz Irannejad +
- - Graham Markall +
- - Greg Knoll +
- - Greg Young
- - Gustavo Serra Scalet +
- - Ines Wichert +
- - Irvin Probst +
- - Jaime Fernandez
- - James Sanders +
- - Jan David Mol +
- - Jan Schlüter
- - Jeremy Tuloup +
- - John Kirkham
- - John Zwinck +
- - Jonathan Helmus
- - Joseph Fox-Rabinovitz
- - Josh Wilson +
- - Joshua Warner +
- - Julian Taylor
- - Ka Wo Chen +
- - Kamil Rytarowski +
- - Kelsey Jordahl +
- - Kevin Deldycke +
- - Khaled Ben Abdallah Okuda +
- - Lion Krischer +
- - Loïc Estève +
- - Luca Mussi +
- - Mads Ohm Larsen +
- - Manoj Kumar +
- - Mario Emmenlauer +
- - Marshall Bockrath-Vandegrift +
- - Marshall Ward +
- - Marten van Kerkwijk
- - Mathieu Lamarre +
- - Matthew Brett
- - Matthew Harrigan +
- - Matthias Geier
- - Matti Picus +
- - Meet Udeshi +
- - Michael Felt +
- - Michael Goerz +
- - Michael Martin +
- - Michael Seifert +
- - Mike Nolta +
- - Nathaniel Beaver +
- - Nathaniel J. Smith
- - Naveen Arunachalam +
- - Nick Papior
- - Nikola Forró +
- - Oleksandr Pavlyk +
- - Olivier Grisel
- - Oren Amsalem +
- - Pauli Virtanen
- - Pavel Potocek +
- - Pedro Lacerda +
- - Peter Creasey +
- - Phil Elson +
- - Philip Gura +
- - Phillip J. Wolfram +
- - Pierre de Buyl +
- - Raghav RV +
- - Ralf Gommers
- - Ray Donnelly +
- - Rehas Sachdeva
- - Rob Malouf +
- - Robert Kern
- - Samuel St-Jean
- - Sanchez Gonzalez Alvaro +
- - Saurabh Mehta +
- - Scott Sanderson +
- - Sebastian Berg
- - Shayan Pooya +
- - Shota Kawabuchi +
- - Simon Conseil
- - Simon Gibbons
- - Sorin Sbarnea +
- - Stefan van der Walt
- - Stephan Hoyer
- - Steven J Kern +
- - Stuart Archibald
- - Tadeu Manoel +
- - Takuya Akiba +
- - Thomas A Caswell
- - Tom Bird +
- - Tony Kelman +
- - Toshihiro Kamishima +
- - Valentin Valls +
- - Varun Nayyar
- - Victor Stinner +
- - Warren Weckesser
- - Wendell Smith
- - Wojtek Ruszczewski +
- - Xavier Abellan Ecija +
- - Yaroslav Halchenko
- - Yash Shah +
- - Yinon Ehrlich +
- - Yu Feng +
- - nevimov +
Pull requests merged for maintenance/1.12.x
===========================================
A total of 406 pull requests were merged for this release.
- - `#4073 <https://github.com/numpy/numpy/pull/4073>`__: BUG: change real
output checking to test if all imaginary parts...
- - `#4619 <https://github.com/numpy/numpy/pull/4619>`__: BUG : np.sum silently
drops keepdims for sub-classes of ndarray
- - `#5488 <https://github.com/numpy/numpy/pull/5488>`__: ENH: add `contract`:
optimizing numpy's einsum expression
- - `#5706 <https://github.com/numpy/numpy/pull/5706>`__: ENH: make some masked
array methods behave more like ndarray...
- - `#5822 <https://github.com/numpy/numpy/pull/5822>`__: Allow many
distributions to have a scale of 0.
- - `#6054 <https://github.com/numpy/numpy/pull/6054>`__: WIP: MAINT: Add
deprecation warning to views of multi-field indexes
- - `#6298 <https://github.com/numpy/numpy/pull/6298>`__: Check lower base
limit in base_repr.
- - `#6430 <https://github.com/numpy/numpy/pull/6430>`__: Fix issues with
zero-width string fields
- - `#6656 <https://github.com/numpy/numpy/pull/6656>`__: ENH: usecols now
accepts an int when only one column has to be...
- - `#6660 <https://github.com/numpy/numpy/pull/6660>`__: Added pathlib support
for several functions
- - `#6872 <https://github.com/numpy/numpy/pull/6872>`__: ENH: linear
interpolation of complex values in lib.interp
- - `#6997 <https://github.com/numpy/numpy/pull/6997>`__: MAINT: Simplify
mtrand.pyx helpers
- - `#7003 <https://github.com/numpy/numpy/pull/7003>`__: BUG: Fix string
copying for np.place
- - `#7026 <https://github.com/numpy/numpy/pull/7026>`__: DOC: Clarify behavior
in np.random.uniform
- - `#7055 <https://github.com/numpy/numpy/pull/7055>`__: BUG: One Element
Array Inputs Return Scalars in np.random
- - `#7063 <https://github.com/numpy/numpy/pull/7063>`__: REL: Update master
branch after 1.11.x branch has been made.
- - `#7073 <https://github.com/numpy/numpy/pull/7073>`__: DOC: Update the
1.11.0 release notes.
- - `#7076 <https://github.com/numpy/numpy/pull/7076>`__: MAINT: Update the git
.mailmap file.
- - `#7082 <https://github.com/numpy/numpy/pull/7082>`__: TST, DOC: Added
Broadcasting Tests in test_random.py
- - `#7087 <https://github.com/numpy/numpy/pull/7087>`__: BLD: fix compilation
on non glibc-Linuxes
- - `#7088 <https://github.com/numpy/numpy/pull/7088>`__: BUG: Have `norm` cast
non-floating point arrays to 64-bit float...
- - `#7090 <https://github.com/numpy/numpy/pull/7090>`__: ENH: Added 'doane'
and 'sqrt' estimators to np.histogram in numpy.function_base
- - `#7091 <https://github.com/numpy/numpy/pull/7091>`__: Revert "BLD: fix
compilation on non glibc-Linuxes"
- - `#7092 <https://github.com/numpy/numpy/pull/7092>`__: BLD: fix compilation
on non glibc-Linuxes
- - `#7099 <https://github.com/numpy/numpy/pull/7099>`__: TST: Suppressed
warnings
- - `#7102 <https://github.com/numpy/numpy/pull/7102>`__: MAINT: Removed
conditionals that are always false in datetime_strings.c
- - `#7105 <https://github.com/numpy/numpy/pull/7105>`__: DEP: Deprecate
as_strided returning a writable array as default
- - `#7109 <https://github.com/numpy/numpy/pull/7109>`__: DOC: update Python
versions requirements in the install docs
- - `#7114 <https://github.com/numpy/numpy/pull/7114>`__: MAINT: Fix typos in
docs
- - `#7116 <https://github.com/numpy/numpy/pull/7116>`__: TST: Fixed f2py test
for win32 virtualenv
- - `#7118 <https://github.com/numpy/numpy/pull/7118>`__: TST: Fixed f2py test
for non-versioned python executables
- - `#7119 <https://github.com/numpy/numpy/pull/7119>`__: BUG: Fixed mingw.lib
error
- - `#7125 <https://github.com/numpy/numpy/pull/7125>`__: DOC: Updated
documentation wording and examples for np.percentile.
- - `#7129 <https://github.com/numpy/numpy/pull/7129>`__: BUG: Fixed 'midpoint'
interpolation of np.percentile in odd cases.
- - `#7131 <https://github.com/numpy/numpy/pull/7131>`__: Fix setuptools sdist
- - `#7133 <https://github.com/numpy/numpy/pull/7133>`__: ENH: savez: temporary
file alongside with target file and improve...
- - `#7134 <https://github.com/numpy/numpy/pull/7134>`__: MAINT: Fix some typos
in a code string and comments
- - `#7141 <https://github.com/numpy/numpy/pull/7141>`__: BUG: Unpickled void
scalars should be contiguous
- - `#7144 <https://github.com/numpy/numpy/pull/7144>`__: MAINT: Change
`call_fortran` into `callfortran` in comments.
- - `#7145 <https://github.com/numpy/numpy/pull/7145>`__: BUG: Fixed
regressions in np.piecewise in ref to #5737 and #5729.
- - `#7147 <https://github.com/numpy/numpy/pull/7147>`__: Temporarily disable
__numpy_ufunc__
- - `#7148 <https://github.com/numpy/numpy/pull/7148>`__: ENH,TST: Bump
stacklevel and add tests for warnings
- - `#7149 <https://github.com/numpy/numpy/pull/7149>`__: TST: Add missing
suffix to temppath manager
- - `#7152 <https://github.com/numpy/numpy/pull/7152>`__: BUG: mode kwargs
passed as unicode to np.pad raises an exception
- - `#7156 <https://github.com/numpy/numpy/pull/7156>`__: BUG: Reascertain that
linspace respects ndarray subclasses in...
- - `#7167 <https://github.com/numpy/numpy/pull/7167>`__: DOC: Update Wikipedia
references for mtrand.pyx
- - `#7171 <https://github.com/numpy/numpy/pull/7171>`__: TST: Fixed f2py test
for Anaconda non-win32
- - `#7174 <https://github.com/numpy/numpy/pull/7174>`__: DOC: Fix broken
pandas link in release notes
- - `#7177 <https://github.com/numpy/numpy/pull/7177>`__: ENH: added axis param
for np.count_nonzero
- - `#7178 <https://github.com/numpy/numpy/pull/7178>`__: BUG: Fix binary_repr
for negative numbers
- - `#7180 <https://github.com/numpy/numpy/pull/7180>`__: BUG: Fixed previous
attempt to fix dimension mismatch in nanpercentile
- - `#7181 <https://github.com/numpy/numpy/pull/7181>`__: DOC: Updated minor
typos in function_base.py and test_function_base.py
- - `#7191 <https://github.com/numpy/numpy/pull/7191>`__: DOC: add vstack,
hstack, dstack reference to stack documentation.
- - `#7193 <https://github.com/numpy/numpy/pull/7193>`__: MAINT: Removed
supurious assert in histogram estimators
- - `#7194 <https://github.com/numpy/numpy/pull/7194>`__: BUG: Raise a quieter
`MaskedArrayFutureWarning` for mask changes.
- - `#7195 <https://github.com/numpy/numpy/pull/7195>`__: STY: Drop some
trailing spaces in `numpy.ma.core`.
- - `#7196 <https://github.com/numpy/numpy/pull/7196>`__: Revert "DOC: add
vstack, hstack, dstack reference to stack documentation."
- - `#7197 <https://github.com/numpy/numpy/pull/7197>`__: TST: Pin virtualenv
used on Travis CI.
- - `#7198 <https://github.com/numpy/numpy/pull/7198>`__: ENH: Unlock the GIL
for gufuncs
- - `#7199 <https://github.com/numpy/numpy/pull/7199>`__: MAINT: Cleanup for
histogram bin estimator selection
- - `#7201 <https://github.com/numpy/numpy/pull/7201>`__: Raise IOError on not
a file in python2
- - `#7202 <https://github.com/numpy/numpy/pull/7202>`__: MAINT: Made
`iterable` return a boolean
- - `#7209 <https://github.com/numpy/numpy/pull/7209>`__: TST: Bump
`virtualenv` to 14.0.6
- - `#7211 <https://github.com/numpy/numpy/pull/7211>`__: DOC: Fix fmin examples
- - `#7215 <https://github.com/numpy/numpy/pull/7215>`__: MAINT: Use
PySlice_GetIndicesEx instead of custom reimplementation
- - `#7229 <https://github.com/numpy/numpy/pull/7229>`__: ENH: implement
__complex__
- - `#7231 <https://github.com/numpy/numpy/pull/7231>`__: MRG: allow
distributors to run custom init
- - `#7232 <https://github.com/numpy/numpy/pull/7232>`__: BLD: Switch order of
test for lapack_mkl and openblas_lapack
- - `#7239 <https://github.com/numpy/numpy/pull/7239>`__: DOC: Removed residual
merge markup from previous commit
- - `#7240 <https://github.com/numpy/numpy/pull/7240>`__: Change 'pubic' to
'public'.
- - `#7241 <https://github.com/numpy/numpy/pull/7241>`__: MAINT: update
doc/sphinxext to numpydoc 0.6.0, and fix up some...
- - `#7243 <https://github.com/numpy/numpy/pull/7243>`__: ENH: Adding support
to the range keyword for estimation of the...
- - `#7246 <https://github.com/numpy/numpy/pull/7246>`__: DOC: metion writeable
keyword in as_strided in release notes
- - `#7247 <https://github.com/numpy/numpy/pull/7247>`__: TST: Fail quickly on
AppVeyor for superseded PR builds
- - `#7248 <https://github.com/numpy/numpy/pull/7248>`__: DOC: remove link to
documentation wiki editor from HOWTO_DOCUMENT.
- - `#7250 <https://github.com/numpy/numpy/pull/7250>`__: DOC,REL: Update
1.11.0 notes.
- - `#7251 <https://github.com/numpy/numpy/pull/7251>`__: BUG: only benchmark
complex256 if it exists
- - `#7252 <https://github.com/numpy/numpy/pull/7252>`__: Forward port a fix
and enhancement from 1.11.x
- - `#7253 <https://github.com/numpy/numpy/pull/7253>`__: DOC: note in
h/v/dstack points users to stack/concatenate
- - `#7254 <https://github.com/numpy/numpy/pull/7254>`__: BUG: Enforce dtype
for randint singletons
- - `#7256 <https://github.com/numpy/numpy/pull/7256>`__: MAINT: Use `is None`
or `is not None` instead of `== None` or...
- - `#7257 <https://github.com/numpy/numpy/pull/7257>`__: DOC: Fix mismatched
variable names in docstrings.
- - `#7258 <https://github.com/numpy/numpy/pull/7258>`__: ENH: Make numpy
floor_divide and remainder agree with Python...
- - `#7260 <https://github.com/numpy/numpy/pull/7260>`__: BUG/TST: Fix #7259,
do not "force scalar" for already scalar...
- - `#7261 <https://github.com/numpy/numpy/pull/7261>`__: Added self to mailmap
- - `#7266 <https://github.com/numpy/numpy/pull/7266>`__: BUG: Segfault for
classes with deceptive __len__
- - `#7268 <https://github.com/numpy/numpy/pull/7268>`__: ENH: add geomspace
function
- - `#7274 <https://github.com/numpy/numpy/pull/7274>`__: BUG: Preserve array
order in np.delete
- - `#7275 <https://github.com/numpy/numpy/pull/7275>`__: DEP: Warn about
assigning 'data' attribute of ndarray
- - `#7276 <https://github.com/numpy/numpy/pull/7276>`__: DOC: apply_along_axis
missing whitespace inserted (before colon)
- - `#7278 <https://github.com/numpy/numpy/pull/7278>`__: BUG: Make returned
unravel_index arrays writeable
- - `#7279 <https://github.com/numpy/numpy/pull/7279>`__: TST: Fixed elements
being shuffled
- - `#7280 <https://github.com/numpy/numpy/pull/7280>`__: MAINT: Remove
redundant trailing semicolons.
- - `#7285 <https://github.com/numpy/numpy/pull/7285>`__: BUG: Make Randint
Backwards Compatible with Pandas
- - `#7286 <https://github.com/numpy/numpy/pull/7286>`__: MAINT: Fix typos in
docs/comments of `ma` and `polynomial` modules.
- - `#7292 <https://github.com/numpy/numpy/pull/7292>`__: Clarify error on repr
failure in assert_equal.
- - `#7294 <https://github.com/numpy/numpy/pull/7294>`__: ENH: add support for
BLIS to numpy.distutils
- - `#7295 <https://github.com/numpy/numpy/pull/7295>`__: DOC: understanding
code and getting started section to dev doc
- - `#7296 <https://github.com/numpy/numpy/pull/7296>`__: Revert part of #3907
which incorrectly propogated MaskedArray...
- - `#7299 <https://github.com/numpy/numpy/pull/7299>`__: DOC: Fix mismatched
variable names in docstrings.
- - `#7300 <https://github.com/numpy/numpy/pull/7300>`__: DOC: dev: stop
recommending keeping local master updated with...
- - `#7301 <https://github.com/numpy/numpy/pull/7301>`__: DOC: Update release
notes
- - `#7305 <https://github.com/numpy/numpy/pull/7305>`__: BUG: Remove data race
in mtrand: two threads could mutate the...
- - `#7307 <https://github.com/numpy/numpy/pull/7307>`__: DOC: Missing some
characters in link.
- - `#7308 <https://github.com/numpy/numpy/pull/7308>`__: BUG: Incrementing the
wrong reference on return
- - `#7310 <https://github.com/numpy/numpy/pull/7310>`__: STY: Fix GitHub
rendering of ordered lists >9
- - `#7311 <https://github.com/numpy/numpy/pull/7311>`__: ENH: Make
_pointer_type_cache functional
- - `#7313 <https://github.com/numpy/numpy/pull/7313>`__: DOC: corrected
grammatical error in quickstart doc
- - `#7325 <https://github.com/numpy/numpy/pull/7325>`__: BUG, MAINT: Improve
fromnumeric.py interface for downstream compatibility
- - `#7328 <https://github.com/numpy/numpy/pull/7328>`__: DEP: Deprecated using
a float index in linspace
- - `#7331 <https://github.com/numpy/numpy/pull/7331>`__: Add comment, TST: fix
MemoryError on win32
- - `#7332 <https://github.com/numpy/numpy/pull/7332>`__: Check for no solution
in np.irr Fixes #6744
- - `#7338 <https://github.com/numpy/numpy/pull/7338>`__: TST: Install `pytz`
in the CI.
- - `#7340 <https://github.com/numpy/numpy/pull/7340>`__: DOC: Fixed math
rendering in tensordot docs.
- - `#7341 <https://github.com/numpy/numpy/pull/7341>`__: TST: Add test for
#6469
- - `#7344 <https://github.com/numpy/numpy/pull/7344>`__: DOC: Fix more typos
in docs and comments.
- - `#7346 <https://github.com/numpy/numpy/pull/7346>`__: Generalized flip
- - `#7347 <https://github.com/numpy/numpy/pull/7347>`__: ENH Generalized rot90
- - `#7348 <https://github.com/numpy/numpy/pull/7348>`__: Maint: Removed extra
space from `ureduce`
- - `#7349 <https://github.com/numpy/numpy/pull/7349>`__: MAINT: Hide nan
warnings for masked internal MA computations
- - `#7350 <https://github.com/numpy/numpy/pull/7350>`__: BUG: MA ufuncs should
set mask to False, not array([False])
- - `#7351 <https://github.com/numpy/numpy/pull/7351>`__: TST: Fix some MA
tests to avoid looking at the .data attribute
- - `#7358 <https://github.com/numpy/numpy/pull/7358>`__: BUG: pull request
related to the issue #7353
- - `#7359 <https://github.com/numpy/numpy/pull/7359>`__: Update 7314, DOC:
Clarify valid integer range for random.seed...
- - `#7361 <https://github.com/numpy/numpy/pull/7361>`__: MAINT: Fix copy and
paste oversight.
- - `#7363 <https://github.com/numpy/numpy/pull/7363>`__: ENH: Make no unshare
mask future warnings less noisy
- - `#7366 <https://github.com/numpy/numpy/pull/7366>`__: TST: fix #6542, add
tests to check non-iterable argument raises...
- - `#7373 <https://github.com/numpy/numpy/pull/7373>`__: ENH: Add bitwise_and
identity
- - `#7378 <https://github.com/numpy/numpy/pull/7378>`__: added NumPy logo and
separator
- - `#7382 <https://github.com/numpy/numpy/pull/7382>`__: MAINT: cleanup
np.average
- - `#7385 <https://github.com/numpy/numpy/pull/7385>`__: DOC: note about
wheels / windows wheels for pypi
- - `#7386 <https://github.com/numpy/numpy/pull/7386>`__: Added label icon to
Travis status
- - `#7397 <https://github.com/numpy/numpy/pull/7397>`__: BUG: incorrect type
for objects whose __len__ fails
- - `#7398 <https://github.com/numpy/numpy/pull/7398>`__: DOC: fix typo
- - `#7404 <https://github.com/numpy/numpy/pull/7404>`__: Use PyMem_RawMalloc
on Python 3.4 and newer
- - `#7406 <https://github.com/numpy/numpy/pull/7406>`__: ENH ufunc called on
memmap return a ndarray
- - `#7407 <https://github.com/numpy/numpy/pull/7407>`__: BUG: Fix decref
before incref for in-place accumulate
- - `#7410 <https://github.com/numpy/numpy/pull/7410>`__: DOC: add nanprod to
the list of math routines
- - `#7414 <https://github.com/numpy/numpy/pull/7414>`__: Tweak corrcoef
- - `#7415 <https://github.com/numpy/numpy/pull/7415>`__: DOC: Documention fixes
- - `#7416 <https://github.com/numpy/numpy/pull/7416>`__: BUG: Incorrect
handling of range in `histogram` with automatic...
- - `#7418 <https://github.com/numpy/numpy/pull/7418>`__: DOC: Minor typo fix,
hermefik -> hermefit.
- - `#7421 <https://github.com/numpy/numpy/pull/7421>`__: ENH: adds
np.nancumsum and np.nancumprod
- - `#7423 <https://github.com/numpy/numpy/pull/7423>`__: BUG: Ongoing fixes to
PR#7416
- - `#7430 <https://github.com/numpy/numpy/pull/7430>`__: DOC: Update
1.11.0-notes.
- - `#7433 <https://github.com/numpy/numpy/pull/7433>`__: MAINT: FutureWarning
for changes to np.average subclass handling
- - `#7437 <https://github.com/numpy/numpy/pull/7437>`__: np.full now defaults
to the filling value's dtype.
- - `#7438 <https://github.com/numpy/numpy/pull/7438>`__: Allow rolling
multiple axes at the same time.
- - `#7439 <https://github.com/numpy/numpy/pull/7439>`__: BUG: Do not try
sequence repeat unless necessary
- - `#7442 <https://github.com/numpy/numpy/pull/7442>`__: MANT: Simplify
diagonal length calculation logic
- - `#7445 <https://github.com/numpy/numpy/pull/7445>`__: BUG: reference count
leak in bincount, fixes #6805
- - `#7446 <https://github.com/numpy/numpy/pull/7446>`__: DOC: ndarray typo fix
- - `#7447 <https://github.com/numpy/numpy/pull/7447>`__: BUG: scalar integer
negative powers gave wrong results.
- - `#7448 <https://github.com/numpy/numpy/pull/7448>`__: DOC: array "See also"
link to full and full_like instead of fill
- - `#7456 <https://github.com/numpy/numpy/pull/7456>`__: BUG: int overflow in
reshape, fixes #7455, fixes #7293
- - `#7463 <https://github.com/numpy/numpy/pull/7463>`__: BUG: fix array too
big error for wide dtypes.
- - `#7466 <https://github.com/numpy/numpy/pull/7466>`__: BUG: segfault inplace
object reduceat, fixes #7465
- - `#7468 <https://github.com/numpy/numpy/pull/7468>`__: BUG: more on inplace
reductions, fixes #615
- - `#7469 <https://github.com/numpy/numpy/pull/7469>`__: MAINT: Update git
.mailmap
- - `#7472 <https://github.com/numpy/numpy/pull/7472>`__: MAINT: Update
.mailmap.
- - `#7477 <https://github.com/numpy/numpy/pull/7477>`__: MAINT: Yet more
.mailmap updates for recent contributors.
- - `#7481 <https://github.com/numpy/numpy/pull/7481>`__: BUG: Fix segfault in
PyArray_OrderConverter
- - `#7482 <https://github.com/numpy/numpy/pull/7482>`__: BUG: Memory Leak in
_GenericBinaryOutFunction
- - `#7489 <https://github.com/numpy/numpy/pull/7489>`__: Faster real_if_close.
- - `#7491 <https://github.com/numpy/numpy/pull/7491>`__: DOC: Update
subclassing doc regarding downstream compatibility
- - `#7496 <https://github.com/numpy/numpy/pull/7496>`__: BUG: don't use pow
for integer power ufunc loops.
- - `#7504 <https://github.com/numpy/numpy/pull/7504>`__: DOC: remove "arr"
from keepdims docstrings
- - `#7505 <https://github.com/numpy/numpy/pull/7505>`__: MAIN: fix to #7382,
make scl in np.average writeable
- - `#7507 <https://github.com/numpy/numpy/pull/7507>`__: MAINT: Remove
nose.SkipTest import.
- - `#7508 <https://github.com/numpy/numpy/pull/7508>`__: DOC: link frompyfunc
and vectorize
- - `#7511 <https://github.com/numpy/numpy/pull/7511>`__: numpy.power(0, 0)
should return 1
- - `#7515 <https://github.com/numpy/numpy/pull/7515>`__: BUG:
MaskedArray.count treats negative axes incorrectly
- - `#7518 <https://github.com/numpy/numpy/pull/7518>`__: BUG: Extend glibc
complex trig functions blacklist to glibc <...
- - `#7521 <https://github.com/numpy/numpy/pull/7521>`__: DOC: rephrase writeup
of memmap changes
- - `#7522 <https://github.com/numpy/numpy/pull/7522>`__: BUG: Fixed iteration
over additional bad commands
- - `#7526 <https://github.com/numpy/numpy/pull/7526>`__: DOC: Removed an extra
`:const:`
- - `#7529 <https://github.com/numpy/numpy/pull/7529>`__: BUG: Floating
exception with invalid axis in np.lexsort
- - `#7534 <https://github.com/numpy/numpy/pull/7534>`__: MAINT: Update
setup.py to reflect supported python versions.
- - `#7536 <https://github.com/numpy/numpy/pull/7536>`__: MAINT: Always use
PyCapsule instead of PyCObject in mtrand.pyx
- - `#7539 <https://github.com/numpy/numpy/pull/7539>`__: MAINT: Cleanup of
random stuff
- - `#7549 <https://github.com/numpy/numpy/pull/7549>`__: BUG: allow graceful
recovery for no Liux compiler
- - `#7562 <https://github.com/numpy/numpy/pull/7562>`__: BUG: Fix
test_from_object_array_unicode (test_defchararray.TestBasic)…
- - `#7565 <https://github.com/numpy/numpy/pull/7565>`__: BUG: Fix
test_ctypeslib and test_indexing for debug interpreter
- - `#7566 <https://github.com/numpy/numpy/pull/7566>`__: MAINT: use manylinux1
wheel for cython
- - `#7568 <https://github.com/numpy/numpy/pull/7568>`__: Fix a false positive
OverflowError in Python 3.x when value above...
- - `#7579 <https://github.com/numpy/numpy/pull/7579>`__: DOC: clarify purpose
of Attributes section
- - `#7584 <https://github.com/numpy/numpy/pull/7584>`__: BUG: fixes #7572,
percent in path
- - `#7586 <https://github.com/numpy/numpy/pull/7586>`__: Make np.ma.take works
on scalars
- - `#7587 <https://github.com/numpy/numpy/pull/7587>`__: BUG: linalg.norm():
Don't convert object arrays to float
- - `#7598 <https://github.com/numpy/numpy/pull/7598>`__: Cast array size to
int64 when loading from archive
- - `#7602 <https://github.com/numpy/numpy/pull/7602>`__: DOC: Remove isreal
and iscomplex from ufunc list
- - `#7605 <https://github.com/numpy/numpy/pull/7605>`__: DOC: fix incorrect
Gamma distribution parameterization comments
- - `#7609 <https://github.com/numpy/numpy/pull/7609>`__: BUG: Fix TypeError
when raising TypeError
- - `#7611 <https://github.com/numpy/numpy/pull/7611>`__: ENH: expose test
runner raise_warnings option
- - `#7614 <https://github.com/numpy/numpy/pull/7614>`__: BLD: Avoid using
os.spawnve in favor of os.spawnv in exec_command
- - `#7618 <https://github.com/numpy/numpy/pull/7618>`__: BUG: distance arg of
np.gradient must be scalar, fix docstring
- - `#7626 <https://github.com/numpy/numpy/pull/7626>`__: DOC: RST definition
list fixes
- - `#7627 <https://github.com/numpy/numpy/pull/7627>`__: MAINT: unify tup
processing, move tup use to after all PyTuple_SetItem...
- - `#7630 <https://github.com/numpy/numpy/pull/7630>`__: MAINT: add ifdef
around PyDictProxy_Check macro
- - `#7631 <https://github.com/numpy/numpy/pull/7631>`__: MAINT: linalg: fix
comment, simplify math
- - `#7634 <https://github.com/numpy/numpy/pull/7634>`__: BLD: correct C
compiler customization in system_info.py Closes...
- - `#7635 <https://github.com/numpy/numpy/pull/7635>`__: BUG: ma.median
alternate fix for #7592
- - `#7636 <https://github.com/numpy/numpy/pull/7636>`__: MAINT: clean up
testing.assert_raises_regexp, 2.6-specific code...
- - `#7637 <https://github.com/numpy/numpy/pull/7637>`__: MAINT: clearer
exception message when importing multiarray fails.
- - `#7639 <https://github.com/numpy/numpy/pull/7639>`__: TST: fix a set of
test errors in master.
- - `#7643 <https://github.com/numpy/numpy/pull/7643>`__: DOC : minor changes
to linspace docstring
- - `#7651 <https://github.com/numpy/numpy/pull/7651>`__: BUG: one to any power
is still 1. Broken edgecase for int arrays
- - `#7655 <https://github.com/numpy/numpy/pull/7655>`__: BLD: Remove Intel
compiler flag -xSSE4.2
- - `#7658 <https://github.com/numpy/numpy/pull/7658>`__: BUG: fix incorrect
printing of 1D masked arrays
- - `#7659 <https://github.com/numpy/numpy/pull/7659>`__: BUG: Temporary fix
for str(mvoid) for object field types
- - `#7664 <https://github.com/numpy/numpy/pull/7664>`__: BUG: Fix unicode with
byte swap transfer and copyswap
- - `#7667 <https://github.com/numpy/numpy/pull/7667>`__: Restore histogram
consistency
- - `#7668 <https://github.com/numpy/numpy/pull/7668>`__: ENH: Do not check the
type of module.__dict__ explicit in test.
- - `#7669 <https://github.com/numpy/numpy/pull/7669>`__: BUG: boolean
assignment no GIL release when transfer needs API
- - `#7673 <https://github.com/numpy/numpy/pull/7673>`__: DOC: Create Numpy
1.11.1 release notes.
- - `#7675 <https://github.com/numpy/numpy/pull/7675>`__: BUG: fix handling of
right edge of final bin.
- - `#7678 <https://github.com/numpy/numpy/pull/7678>`__: BUG: Fix np.clip bug
NaN handling for Visual Studio 2015
- - `#7679 <https://github.com/numpy/numpy/pull/7679>`__: MAINT: Fix up C++
comment in arraytypes.c.src.
- - `#7681 <https://github.com/numpy/numpy/pull/7681>`__: DOC: Update 1.11.1
release notes.
- - `#7686 <https://github.com/numpy/numpy/pull/7686>`__: ENH: Changing FFT
cache to a bounded LRU cache
- - `#7688 <https://github.com/numpy/numpy/pull/7688>`__: DOC: fix broken
genfromtxt examples in user guide. Closes gh-7662.
- - `#7689 <https://github.com/numpy/numpy/pull/7689>`__: BENCH: add
correlate/convolve benchmarks.
- - `#7696 <https://github.com/numpy/numpy/pull/7696>`__: DOC: update wheel
build / upload instructions
- - `#7699 <https://github.com/numpy/numpy/pull/7699>`__: BLD: preserve library
order
- - `#7704 <https://github.com/numpy/numpy/pull/7704>`__: ENH: Add bits
attribute to np.finfo
- - `#7712 <https://github.com/numpy/numpy/pull/7712>`__: BUG: Fix race
condition with new FFT cache
- - `#7715 <https://github.com/numpy/numpy/pull/7715>`__: BUG: Remove memory
leak in np.place
- - `#7719 <https://github.com/numpy/numpy/pull/7719>`__: BUG: Fix segfault in
np.random.shuffle for arrays of different...
- - `#7723 <https://github.com/numpy/numpy/pull/7723>`__: Change
mkl_info.dir_env_var from MKL to MKLROOT
- - `#7727 <https://github.com/numpy/numpy/pull/7727>`__: DOC: Corrections in
Datetime Units-arrays.datetime.rst
- - `#7729 <https://github.com/numpy/numpy/pull/7729>`__: DOC: fix typo in
savetxt docstring (closes #7620)
- - `#7733 <https://github.com/numpy/numpy/pull/7733>`__: Update 7525, DOC: Fix
order='A' docs of np.array.
- - `#7734 <https://github.com/numpy/numpy/pull/7734>`__: Update 7542, ENH: Add
`polyrootval` to numpy.polynomial
- - `#7735 <https://github.com/numpy/numpy/pull/7735>`__: BUG: fix issue on OS
X with Python 3.x where npymath.ini was...
- - `#7739 <https://github.com/numpy/numpy/pull/7739>`__: DOC: Mention the
changes of #6430 in the release notes.
- - `#7740 <https://github.com/numpy/numpy/pull/7740>`__: DOC: add reference to
poisson rng
- - `#7743 <https://github.com/numpy/numpy/pull/7743>`__: Update 7476, DEP:
deprecate Numeric-style typecodes, closes #2148
- - `#7744 <https://github.com/numpy/numpy/pull/7744>`__: DOC: Remove
"ones_like" from ufuncs list (it is not)
- - `#7746 <https://github.com/numpy/numpy/pull/7746>`__: DOC: Clarify the
effect of rcond in numpy.linalg.lstsq.
- - `#7747 <https://github.com/numpy/numpy/pull/7747>`__: Update 7672, BUG:
Make sure we don't divide by zero
- - `#7748 <https://github.com/numpy/numpy/pull/7748>`__: DOC: Update float32
mean example in docstring
- - `#7754 <https://github.com/numpy/numpy/pull/7754>`__: Update 7612, ENH: Add
broadcast.ndim to match code elsewhere.
- - `#7757 <https://github.com/numpy/numpy/pull/7757>`__: Update 7175, BUG:
Invalid read of size 4 in PyArray_FromFile
- - `#7759 <https://github.com/numpy/numpy/pull/7759>`__: BUG: Fix numpy.i
support for numpy API < 1.7.
- - `#7760 <https://github.com/numpy/numpy/pull/7760>`__: ENH: Make
assert_almost_equal & assert_array_almost_equal consistent.
- - `#7766 <https://github.com/numpy/numpy/pull/7766>`__: fix an English typo
- - `#7771 <https://github.com/numpy/numpy/pull/7771>`__: DOC: link geomspace
from logspace
- - `#7773 <https://github.com/numpy/numpy/pull/7773>`__: DOC: Remove a
redundant the
- - `#7777 <https://github.com/numpy/numpy/pull/7777>`__: DOC: Update Numpy
1.11.1 release notes.
- - `#7785 <https://github.com/numpy/numpy/pull/7785>`__: DOC: update wheel
building procedure for release
- - `#7789 <https://github.com/numpy/numpy/pull/7789>`__: MRG: add note of
64-bit wheels on Windows
- - `#7791 <https://github.com/numpy/numpy/pull/7791>`__: f2py.compile issues
(#7683)
- - `#7799 <https://github.com/numpy/numpy/pull/7799>`__: "lambda" is not
allowed to use as keyword arguments in a sample...
- - `#7803 <https://github.com/numpy/numpy/pull/7803>`__: BUG: interpret 'c'
PEP3118/struct type as 'S1'.
- - `#7807 <https://github.com/numpy/numpy/pull/7807>`__: DOC: Misplaced parens
in formula
- - `#7817 <https://github.com/numpy/numpy/pull/7817>`__: BUG: Make sure
npy_mul_with_overflow_<type> detects overflow.
- - `#7818 <https://github.com/numpy/numpy/pull/7818>`__:
numpy/distutils/misc_util.py fix for #7809: check that _tmpdirs...
- - `#7820 <https://github.com/numpy/numpy/pull/7820>`__: MAINT: Allocate fewer
bytes for empty arrays.
- - `#7823 <https://github.com/numpy/numpy/pull/7823>`__: BUG: Fixed masked
array behavior for scalar inputs to np.ma.atleast_*d
- - `#7834 <https://github.com/numpy/numpy/pull/7834>`__: DOC: Added an example
- - `#7839 <https://github.com/numpy/numpy/pull/7839>`__: Pypy fixes
- - `#7840 <https://github.com/numpy/numpy/pull/7840>`__: Fix ATLAS version
detection
- - `#7842 <https://github.com/numpy/numpy/pull/7842>`__: Fix versionadded tags
- - `#7848 <https://github.com/numpy/numpy/pull/7848>`__: MAINT: Fix remaining
uses of deprecated Python imp module.
- - `#7853 <https://github.com/numpy/numpy/pull/7853>`__: BUG: Make sure numpy
globals keep identity after reload.
- - `#7863 <https://github.com/numpy/numpy/pull/7863>`__: ENH: turn quicksort
into introsort
- - `#7866 <https://github.com/numpy/numpy/pull/7866>`__: Document runtests
extra argv
- - `#7871 <https://github.com/numpy/numpy/pull/7871>`__: BUG: handle introsort
depth limit properly
- - `#7879 <https://github.com/numpy/numpy/pull/7879>`__: DOC: fix typo in
documentation of loadtxt (closes #7878)
- - `#7885 <https://github.com/numpy/numpy/pull/7885>`__: Handle NetBSD
specific <sys/endian.h>
- - `#7889 <https://github.com/numpy/numpy/pull/7889>`__: DOC: #7881. Fix link
to record arrays
- - `#7894 <https://github.com/numpy/numpy/pull/7894>`__: fixup-7790, BUG:
construct ma.array from np.array which contains...
- - `#7898 <https://github.com/numpy/numpy/pull/7898>`__: Spelling and grammar
fix.
- - `#7903 <https://github.com/numpy/numpy/pull/7903>`__: BUG: fix float16 type
not being called due to wrong ordering
- - `#7908 <https://github.com/numpy/numpy/pull/7908>`__: BLD: Fixed detection
for recent MKL versions
- - `#7911 <https://github.com/numpy/numpy/pull/7911>`__: BUG: fix for
issue#7835 (ma.median of 1d)
- - `#7912 <https://github.com/numpy/numpy/pull/7912>`__: ENH: skip or avoid
gc/objectmodel differences btwn pypy and cpython
- - `#7918 <https://github.com/numpy/numpy/pull/7918>`__: ENH: allow
numpy.apply_along_axis() to work with ndarray subclasses
- - `#7922 <https://github.com/numpy/numpy/pull/7922>`__: ENH: Add ma.convolve
and ma.correlate for #6458
- - `#7925 <https://github.com/numpy/numpy/pull/7925>`__: Monkey-patch
_msvccompile.gen_lib_option like any other compilators
- - `#7931 <https://github.com/numpy/numpy/pull/7931>`__: BUG: Check for
HAVE_LDOUBLE_DOUBLE_DOUBLE_LE in npy_math_complex.
- - `#7936 <https://github.com/numpy/numpy/pull/7936>`__: ENH: improve duck
typing inside iscomplexobj
- - `#7937 <https://github.com/numpy/numpy/pull/7937>`__: BUG: Guard against
buggy comparisons in generic quicksort.
- - `#7938 <https://github.com/numpy/numpy/pull/7938>`__: DOC: add cbrt to math
summary page
- - `#7941 <https://github.com/numpy/numpy/pull/7941>`__: BUG: Make sure numpy
globals keep identity after reload.
- - `#7943 <https://github.com/numpy/numpy/pull/7943>`__: DOC: #7927. Remove
deprecated note for memmap relevant for Python...
- - `#7952 <https://github.com/numpy/numpy/pull/7952>`__: BUG: Use keyword
arguments to initialize Extension base class.
- - `#7956 <https://github.com/numpy/numpy/pull/7956>`__: BLD: remove
__NUMPY_SETUP__ from builtins at end of setup.py
- - `#7963 <https://github.com/numpy/numpy/pull/7963>`__: BUG: MSVCCompiler
grows 'lib' & 'include' env strings exponentially.
- - `#7965 <https://github.com/numpy/numpy/pull/7965>`__: BUG: cannot modify
tuple after use
- - `#7976 <https://github.com/numpy/numpy/pull/7976>`__: DOC: Fixed documented
dimension of return value
- - `#7977 <https://github.com/numpy/numpy/pull/7977>`__: DOC: Create 1.11.2
release notes.
- - `#7979 <https://github.com/numpy/numpy/pull/7979>`__: DOC: Corrected
allowed keywords in add_(installed_)library
- - `#7980 <https://github.com/numpy/numpy/pull/7980>`__: ENH: Add ability to
runtime select ufunc loops, add AVX2 integer...
- - `#7985 <https://github.com/numpy/numpy/pull/7985>`__: Rebase 7763, ENH: Add
new warning suppression/filtering context
- - `#7987 <https://github.com/numpy/numpy/pull/7987>`__: DOC: See also np.load
and np.memmap in np.lib.format.open_memmap
- - `#7988 <https://github.com/numpy/numpy/pull/7988>`__: DOC: Include
docstring for cbrt, spacing and fabs in documentation
- - `#7999 <https://github.com/numpy/numpy/pull/7999>`__: ENH: add inplace
cases to fast ufunc loop macros
- - `#8006 <https://github.com/numpy/numpy/pull/8006>`__: DOC: Update 1.11.2
release notes.
- - `#8008 <https://github.com/numpy/numpy/pull/8008>`__: MAINT: Remove
leftover imp module imports.
- - `#8009 <https://github.com/numpy/numpy/pull/8009>`__: DOC: Fixed three
typos in the c-info.ufunc-tutorial
- - `#8011 <https://github.com/numpy/numpy/pull/8011>`__: DOC: Update 1.11.2
release notes.
- - `#8014 <https://github.com/numpy/numpy/pull/8014>`__: BUG: Fix fid.close()
to use os.close(fid)
- - `#8016 <https://github.com/numpy/numpy/pull/8016>`__: BUG: Fix
numpy.ma.median.
- - `#8018 <https://github.com/numpy/numpy/pull/8018>`__: BUG: Fixes return for
np.ma.count if keepdims is True and axis...
- - `#8021 <https://github.com/numpy/numpy/pull/8021>`__: DOC: change all
non-code instances of Numpy to NumPy
- - `#8027 <https://github.com/numpy/numpy/pull/8027>`__: ENH: Add platform
indepedent lib dir to PYTHONPATH
- - `#8028 <https://github.com/numpy/numpy/pull/8028>`__: DOC: Update 1.11.2
release notes.
- - `#8030 <https://github.com/numpy/numpy/pull/8030>`__: BUG: fix np.ma.median
with only one non-masked value and an axis...
- - `#8038 <https://github.com/numpy/numpy/pull/8038>`__: MAINT: Update error
message in rollaxis.
- - `#8040 <https://github.com/numpy/numpy/pull/8040>`__: Update add_newdocs.py
- - `#8042 <https://github.com/numpy/numpy/pull/8042>`__: BUG: core: fix bug in
NpyIter buffering with discontinuous arrays
- - `#8045 <https://github.com/numpy/numpy/pull/8045>`__: DOC: Update 1.11.2
release notes.
- - `#8050 <https://github.com/numpy/numpy/pull/8050>`__: remove refcount
semantics, now a.resize() almost always requires...
- - `#8051 <https://github.com/numpy/numpy/pull/8051>`__: Clear signaling NaN
exceptions
- - `#8054 <https://github.com/numpy/numpy/pull/8054>`__: ENH: add signature
argument to vectorize for vectorizing like...
- - `#8057 <https://github.com/numpy/numpy/pull/8057>`__: BUG: lib: Simplify
(and fix) pad's handling of the pad_width
- - `#8061 <https://github.com/numpy/numpy/pull/8061>`__: BUG : financial.pmt
modifies input (issue #8055)
- - `#8064 <https://github.com/numpy/numpy/pull/8064>`__: MAINT: Add PMIP files
to .gitignore
- - `#8065 <https://github.com/numpy/numpy/pull/8065>`__: BUG: Assert fromfile
ending earlier in pyx_processing
- - `#8066 <https://github.com/numpy/numpy/pull/8066>`__: BUG, TST: Fix
python3-dbg bug in Travis script
- - `#8071 <https://github.com/numpy/numpy/pull/8071>`__: MAINT: Add Tempita to
randint helpers
- - `#8075 <https://github.com/numpy/numpy/pull/8075>`__: DOC: Fix description
of isinf in nan_to_num
- - `#8080 <https://github.com/numpy/numpy/pull/8080>`__: BUG: non-integers can
end up in dtype offsets
- - `#8081 <https://github.com/numpy/numpy/pull/8081>`__: Update outdated Nose
URL to nose.readthedocs.io
- - `#8083 <https://github.com/numpy/numpy/pull/8083>`__: ENH: Deprecation
warnings for `/` integer division when running...
- - `#8084 <https://github.com/numpy/numpy/pull/8084>`__: DOC: Fix erroneous
return type description for np.roots.
- - `#8087 <https://github.com/numpy/numpy/pull/8087>`__: BUG: financial.pmt
modifies input #8055
- - `#8088 <https://github.com/numpy/numpy/pull/8088>`__: MAINT: Remove
duplicate randint helpers code.
- - `#8093 <https://github.com/numpy/numpy/pull/8093>`__: MAINT: fix
assert_raises_regex when used as a context manager
- - `#8096 <https://github.com/numpy/numpy/pull/8096>`__: ENH: Vendorize
tempita.
- - `#8098 <https://github.com/numpy/numpy/pull/8098>`__: DOC: Enhance
description/usage for np.linalg.eig*h
- - `#8103 <https://github.com/numpy/numpy/pull/8103>`__: Pypy fixes
- - `#8104 <https://github.com/numpy/numpy/pull/8104>`__: Fix test code on
cpuinfo's main function
- - `#8107 <https://github.com/numpy/numpy/pull/8107>`__: BUG: Fix array
printing with precision=0.
- - `#8109 <https://github.com/numpy/numpy/pull/8109>`__: Fix bug in
ravel_multi_index for big indices (Issue #7546)
- - `#8110 <https://github.com/numpy/numpy/pull/8110>`__: BUG: distutils: fix
issue with rpath in fcompiler/gnu.py
- - `#8111 <https://github.com/numpy/numpy/pull/8111>`__: ENH: Add a tool for
release authors and PRs.
- - `#8112 <https://github.com/numpy/numpy/pull/8112>`__: DOC: Fix "See also"
links in linalg.
- - `#8114 <https://github.com/numpy/numpy/pull/8114>`__: BUG: core: add
missing error check after PyLong_AsSsize_t
- - `#8121 <https://github.com/numpy/numpy/pull/8121>`__: DOC: Improve
histogram2d() example.
- - `#8122 <https://github.com/numpy/numpy/pull/8122>`__: BUG: Fix broken
pickle in MaskedArray when dtype is object (Return...
- - `#8124 <https://github.com/numpy/numpy/pull/8124>`__: BUG: Fixed build break
- - `#8125 <https://github.com/numpy/numpy/pull/8125>`__: Rebase, BUG: Fixed
deepcopy of F-order object arrays.
- - `#8127 <https://github.com/numpy/numpy/pull/8127>`__: BUG: integers to a
negative integer powers should error.
- - `#8141 <https://github.com/numpy/numpy/pull/8141>`__: improve configure
checks for broken systems
- - `#8142 <https://github.com/numpy/numpy/pull/8142>`__: BUG: np.ma.mean and
var should return scalar if no mask
- - `#8148 <https://github.com/numpy/numpy/pull/8148>`__: BUG: import full
module path in npy_load_module
- - `#8153 <https://github.com/numpy/numpy/pull/8153>`__: MAINT: Expose
void-scalar "base" attribute in python
- - `#8156 <https://github.com/numpy/numpy/pull/8156>`__: DOC: added example
with empty indices for a scalar, #8138
- - `#8160 <https://github.com/numpy/numpy/pull/8160>`__: BUG: fix
_array2string for structured array (issue #5692)
- - `#8164 <https://github.com/numpy/numpy/pull/8164>`__: MAINT: Update mailmap
for NumPy 1.12.0
- - `#8165 <https://github.com/numpy/numpy/pull/8165>`__: Fixup 8152, BUG:
assert_allclose(..., equal_nan=False) doesn't...
- - `#8167 <https://github.com/numpy/numpy/pull/8167>`__: Fixup 8146, DOC:
Clarify when PyArray_{Max, Min, Ptp} return...
- - `#8168 <https://github.com/numpy/numpy/pull/8168>`__: DOC: Minor spelling
fix in genfromtxt() docstring.
- - `#8173 <https://github.com/numpy/numpy/pull/8173>`__: BLD: Enable build on
AIX
- - `#8174 <https://github.com/numpy/numpy/pull/8174>`__: DOC: warn that
dtype.descr is only for use in PEP3118
- - `#8177 <https://github.com/numpy/numpy/pull/8177>`__: MAINT: Add python 3.6
support to suppress_warnings
- - `#8178 <https://github.com/numpy/numpy/pull/8178>`__: MAINT: Fix
ResourceWarning new in Python 3.6.
- - `#8180 <https://github.com/numpy/numpy/pull/8180>`__: FIX: protect stolen
ref by PyArray_NewFromDescr in array_empty
- - `#8181 <https://github.com/numpy/numpy/pull/8181>`__: ENH: Improve announce
to find github squash-merge commits.
- - `#8182 <https://github.com/numpy/numpy/pull/8182>`__: MAINT: Update .mailmap
- - `#8183 <https://github.com/numpy/numpy/pull/8183>`__: MAINT: Ediff1d
performance
- - `#8184 <https://github.com/numpy/numpy/pull/8184>`__: MAINT: make
`assert_allclose` behavior on `nan`s match pre 1.12
- - `#8188 <https://github.com/numpy/numpy/pull/8188>`__: DOC: 'highest' is
exclusive for randint()
- - `#8189 <https://github.com/numpy/numpy/pull/8189>`__: BUG: setfield should
raise if arr is not writeable
- - `#8190 <https://github.com/numpy/numpy/pull/8190>`__: ENH: Add a
float_power function with at least float64 precision.
- - `#8197 <https://github.com/numpy/numpy/pull/8197>`__: DOC: Add missing
arguments to np.ufunc.outer
- - `#8198 <https://github.com/numpy/numpy/pull/8198>`__: DEP: Deprecate the
keepdims argument to accumulate
- - `#8199 <https://github.com/numpy/numpy/pull/8199>`__: MAINT: change path to
env in distutils.system_info. Closes gh-8195.
- - `#8200 <https://github.com/numpy/numpy/pull/8200>`__: BUG: Fix structured
array format functions
- - `#8202 <https://github.com/numpy/numpy/pull/8202>`__: ENH: specialize name
of dev package by interpreter
- - `#8205 <https://github.com/numpy/numpy/pull/8205>`__: DOC: change
development instructions from SSH to HTTPS access.
- - `#8216 <https://github.com/numpy/numpy/pull/8216>`__: DOC: Patch doc errors
for atleast_nd and frombuffer
- - `#8218 <https://github.com/numpy/numpy/pull/8218>`__: BUG: ediff1d should
return subclasses
- - `#8219 <https://github.com/numpy/numpy/pull/8219>`__: DOC: Turn SciPy
references into links.
- - `#8222 <https://github.com/numpy/numpy/pull/8222>`__: ENH: Make
numpy.mean() do more precise computation
- - `#8227 <https://github.com/numpy/numpy/pull/8227>`__: BUG: Better check for
invalid bounds in np.random.uniform.
- - `#8231 <https://github.com/numpy/numpy/pull/8231>`__: ENH: Refactor numpy
** operators for numpy scalar integer powers
- - `#8234 <https://github.com/numpy/numpy/pull/8234>`__: DOC: Clarified when a
copy is made in numpy.asarray
- - `#8236 <https://github.com/numpy/numpy/pull/8236>`__: DOC: Fix
documentation pull requests.
- - `#8238 <https://github.com/numpy/numpy/pull/8238>`__: MAINT: Update
pavement.py
- - `#8239 <https://github.com/numpy/numpy/pull/8239>`__: ENH: Improve announce
tool.
- - `#8240 <https://github.com/numpy/numpy/pull/8240>`__: REL: Prepare for
1.12.x branch
- - `#8243 <https://github.com/numpy/numpy/pull/8243>`__: BUG: Update operator
`**` tests for new behavior.
- - `#8246 <https://github.com/numpy/numpy/pull/8246>`__: REL: Reset strides
for RELAXED_STRIDE_CHECKING for 1.12 releases.
- - `#8265 <https://github.com/numpy/numpy/pull/8265>`__: BUG: np.piecewise not
working for scalars
- - `#8272 <https://github.com/numpy/numpy/pull/8272>`__: TST: Path test should
resolve symlinks when comparing
- - `#8282 <https://github.com/numpy/numpy/pull/8282>`__: DOC: Update 1.12.0
release notes.
- - `#8286 <https://github.com/numpy/numpy/pull/8286>`__: BUG: Fix pavement.py
write_release_task.
- - `#8296 <https://github.com/numpy/numpy/pull/8296>`__: BUG: Fix iteration
over reversed subspaces in mapiter_@name@.
- - `#8304 <https://github.com/numpy/numpy/pull/8304>`__: BUG: Fix PyPy crash
in PyUFunc_GenericReduction.
- - `#8319 <https://github.com/numpy/numpy/pull/8319>`__: BLD: blacklist powl
(longdouble power function) on OS X.
- - `#8320 <https://github.com/numpy/numpy/pull/8320>`__: BUG: do not link to
Accelerate if OpenBLAS, MKL or BLIS are found.
- - `#8322 <https://github.com/numpy/numpy/pull/8322>`__: BUG: fixed kind
specifications for parameters
- - `#8336 <https://github.com/numpy/numpy/pull/8336>`__: BUG: fix packbits and
unpackbits to correctly handle empty arrays
- - `#8338 <https://github.com/numpy/numpy/pull/8338>`__: BUG: fix test_api
test that fails intermittently in python 3
- - `#8339 <https://github.com/numpy/numpy/pull/8339>`__: BUG: Fix
ndarray.tofile large file corruption in append mode.
- - `#8359 <https://github.com/numpy/numpy/pull/8359>`__: BUG: Fix
suppress_warnings (again) for Python 3.6.
- - `#8372 <https://github.com/numpy/numpy/pull/8372>`__: BUG: Fixes for
ma.median and nanpercentile.
- - `#8373 <https://github.com/numpy/numpy/pull/8373>`__: BUG: correct letter
case
- - `#8379 <https://github.com/numpy/numpy/pull/8379>`__: DOC: Update
1.12.0-notes.rst.
- - `#8390 <https://github.com/numpy/numpy/pull/8390>`__: ENH: retune
apply_along_axis nanmedian cutoff in 1.12
- - `#8391 <https://github.com/numpy/numpy/pull/8391>`__: DEP: Fix escaped
string characters deprecated in Python 3.6.
- - `#8394 <https://github.com/numpy/numpy/pull/8394>`__: DOC: create 1.11.3
release notes.
- - `#8399 <https://github.com/numpy/numpy/pull/8399>`__: BUG: Fix author
search in announce.py
- - `#8402 <https://github.com/numpy/numpy/pull/8402>`__: DOC, MAINT: Update
1.12.0 notes and mailmap.
Checksums
=========
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