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@charris charris released this 17 Nov 05:08
v1.12.0b1
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charris Charles Harris
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NumPy 1.12.0 Release Notes

This release supports Python 2.7 and 3.4 - 3.6.

Highlights

  • Order of operations in np.einsum now can 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.

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.

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 133 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.

  • - Aditya Panchal
  • - Ales Erjavec +
  • - Alex Griffing
  • - 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
  • - 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 +
  • - Nikola Forró +
  • - Oleksandr Pavlyk +
  • - Olivier Grisel
  • - Oren Amsalem +
  • - Pauli Virtanen
  • - 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
  • - 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 +
  • - Thomas A Caswell
  • - Tom Bird +
  • - Tony Kelman +
  • - Toshihiro Kamishima +
  • - Valentin Valls +
  • - Varun Nayyar
  • - Victor Stinner +
  • - Warren Weckesser
  • - Wendell Smith
  • - Xavier Abellan Ecija +
  • - Yaroslav Halchenko
  • - Yash Shah +
  • - Yinon Ehrlich +
  • - Yu Feng +
  • - alvarosg +
  • - nevimov +

Pull requests merged for maintenance/1.12.x

A total of 388 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>__: ENH: 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>__: BUG: Check lower base limit in base_repr.
  • - #6430 <https://github.com/numpy/numpy/pull/6430>__: BUG: 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>__: ENH: 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>__: BUG: 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>__: REL: 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>: REL: 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 start,...
  • - #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>__: BUG: 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>__: BUG: 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>__: MAINT: 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>__: BUG: 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>__: MAINT: 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>__: MAINT: 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>__: BUG: 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>__: BUG: Add comment and fix MemoryError on win32
  • - #7332 <https://github.com/numpy/numpy/pull/7332>__: BUG: 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>__: ENH: 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>__: 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>__: ENH: 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>__: ENH: 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>__: MAINT: 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>__: BUG: 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>__: BUG: np.full now defaults to the filling value's dtype.
  • - #7438 <https://github.com/numpy/numpy/pull/7438>__: ENH: 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>__: ENH: 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>__: BUG: 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>__: BUG: 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>__: ENH: 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>__: BUG: 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>__: BUG: 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>__: ENH: 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>__: BLD: 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>__: DOC: Fix order='A' docs of np.array.
  • - #7734 <https://github.com/numpy/numpy/pull/7734>__: 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>__: 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>__: 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>__: ENH: Add broadcast.ndim to match code elsewhere.
  • - #7757 <https://github.com/numpy/numpy/pull/7757>__: 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>__: MAINT: 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>__: DOC: add note of 64-bit wheels on Windows
  • - #7791 <https://github.com/numpy/numpy/pull/7791>__: BUG: f2py.compile issues (#7683)
  • - #7799 <https://github.com/numpy/numpy/pull/7799>__: BUG: "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_ detects overflow.
  • - #7818 <https://github.com/numpy/numpy/pull/7818>__: BUG: 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>__: ENH: Pypy fixes
  • - #7840 <https://github.com/numpy/numpy/pull/7840>__: BUG: Fix ATLAS version detection
  • - #7842 <https://github.com/numpy/numpy/pull/7842>__: MAINT: 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>__: DOC: 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>__: ENH: 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>__: BUG: construct ma.array from np.array which contains...
  • - #7898 <https://github.com/numpy/numpy/pull/7898>__: MAINT: 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>__: WNH: 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>__: 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>__: DOC: 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>__: BUG: remove refcount semantics, now a.resize() almost always requires...
  • - #8051 <https://github.com/numpy/numpy/pull/8051>__: ENH: 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>__: DOC: 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>__: ENH: Pypy fixes
  • - #8104 <https://github.com/numpy/numpy/pull/8104>__: ENH: 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>__: BUG: 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>__: 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>__: ENH: 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>__: BUG: assert_allclose(..., equal_nan=False) doesn't...
  • - #8167 <https://github.com/numpy/numpy/pull/8167>__: 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>__: BUG: 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 nans 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

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Assets 5