12 Oct 14:59

charris

f802155

v1.23.4

NumPy 1.23.4 Release Notes

NumPy 1.23.4 is a maintenance release that fixes bugs discovered after
the 1.23.3 release and keeps the build infrastructure current. The main
improvements are fixes for some annotation corner cases, a fix for a
long time nested_iters memory leak, and a fix of complex vector dot
for very large arrays. The Python versions supported for this release
are 3.8-3.11.

Note that the mypy version needs to be 0.981+ if you test using Python
3.10.7, otherwise the typing tests will fail.

Contributors

A total of 8 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

Bas van Beek
Charles Harris
Matthew Barber
Matti Picus
Ralf Gommers
Ross Barnowski
Sebastian Berg
Sicheng Zeng +

Pull requests merged

A total of 13 pull requests were merged for this release.

#22368: BUG: Add __array_api_version__ to numpy.array_api namespace
#22370: MAINT: update sde toolkit to 9.0, fix download link
#22382: BLD: use macos-11 image on azure, macos-1015 is deprecated
#22383: MAINT: random: remove get_info from "extending with Cython"...
#22384: BUG: Fix complex vector dot with more than NPY_CBLAS_CHUNK elements
#22387: REV: Loosen lookfor's import try/except again
#22388: TYP,ENH: Mark numpy.typing protocols as runtime checkable
#22389: TYP,MAINT: Change more overloads to play nice with pyright
#22390: TST,TYP: Bump mypy to 0.981
#22391: DOC: Update delimiter param description.
#22392: BUG: Memory leaks in numpy.nested_iters
#22413: REL: Prepare for the NumPy 1.23.4 release.
#22424: TST: Fix failing aarch64 wheel builds.

Checksums

MD5

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SHA256

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Assets 5

09 Sep 18:54

charris

v1.23.3

e47cbb6

v1.23.3

NumPy 1.23.3 Release Notes

NumPy 1.23.3 is a maintenance release that fixes bugs discovered after
the 1.23.2 release. There is no major theme for this release, the main
improvements are for some downstream builds and some annotation corner
cases. The Python versions supported for this release are 3.8-3.11.

Note that we will move to MacOS 11 for the NumPy 1.23.4 release, the
10.15 version currently used will no longer be supported by our build
infrastructure at that point.

Contributors

A total of 16 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

Aaron Meurer
Bas van Beek
Charles Harris
Ganesh Kathiresan
Gavin Zhang +
Iantra Solari+
Jyn Spring 琴春 +
Matti Picus
Rafael Cardoso Fernandes Sousa
Rafael Sousa +
Ralf Gommers
Rin Cat (鈴猫) +
Saransh Chopra +
Sayed Adel
Sebastian Berg
Serge Guelton

Pull requests merged

A total of 14 pull requests were merged for this release.

#22136: BLD: Add Python 3.11 wheels to aarch64 build
#22148: MAINT: Update setup.py for Python 3.11.
#22155: CI: Test NumPy build against old versions of GCC(6, 7, 8)
#22156: MAINT: support IBM i system
#22195: BUG: Fix circleci build
#22214: BUG: Expose heapsort algorithms in a shared header
#22215: BUG: Support using libunwind for backtrack
#22216: MAINT: fix an incorrect pointer type usage in f2py
#22220: BUG: change overloads to play nice with pyright.
#22221: TST,BUG: Use fork context to fix MacOS savez test
#22222: TYP,BUG: Reduce argument validation in C-based __class_getitem__
#22223: TST: ensure np.equal.reduce raises a TypeError
#22224: BUG: Fix the implementation of numpy.array_api.vecdot
#22230: BUG: Better report integer division overflow (backport)

Checksums

MD5

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SHA256

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Assets 5

14 Aug 18:32

charris

v1.23.2

21cacaf

v1.23.2

NumPy 1.23.2 Release Notes

NumPy 1.23.2 is a maintenance release that fixes bugs discovered after
the 1.23.1 release. Notable features are:

Typing changes needed for Python 3.11
Wheels for Python 3.11.0rc1

The Python versions supported for this release are 3.8-3.11.

Contributors

A total of 9 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

Alexander Grund +
Bas van Beek
Charles Harris
Jon Cusick +
Matti Picus
Michael Osthege +
Pal Barta +
Ross Barnowski
Sebastian Berg

Pull requests merged

A total of 15 pull requests were merged for this release.

#22030: ENH: Add __array_ufunc__ typing support to the nin=1 ufuncs
#22031: MAINT, TYP: Fix np.angle dtype-overloads
#22032: MAINT: Do not let _GenericAlias wrap the underlying classes'...
#22033: TYP,MAINT: Allow einsum subscripts to be passed via integer...
#22034: MAINT,TYP: Add object-overloads for the np.generic rich comparisons
#22035: MAINT,TYP: Allow the squeeze and transpose method to...
#22036: BUG: Fix subarray to object cast ownership details
#22037: BUG: Use Popen to silently invoke f77 -v
#22038: BUG: Avoid errors on NULL during deepcopy
#22039: DOC: Add versionchanged for converter callable behavior.
#22057: MAINT: Quiet the anaconda uploads.
#22078: ENH: reorder includes for testing on top of system installations...
#22106: TST: fix test_linear_interpolation_formula_symmetric
#22107: BUG: Fix skip condition for test_loss_of_precision[complex256]
#22115: BLD: Build python3.11.0rc1 wheels.

Checksums

MD5

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SHA256

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Assets 5

09 Jul 01:51

charris

v1.23.1

1f82da7

v1.23.1

NumPy 1.23.1 Release Notes

The NumPy 1.23.1 is a maintenance release that fixes bugs discovered
after the 1.23.0 release. Notable fixes are:

Fix searchsorted for float16 NaNs
Fix compilation on Apple M1
Fix KeyError in crackfortran operator support (Slycot)

The Python version supported for this release are 3.8-3.10.

Contributors

A total of 7 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

Charles Harris
Matthias Koeppe +
Pranab Das +
Rohit Goswami
Sebastian Berg
Serge Guelton
Srimukh Sripada +

Pull requests merged

A total of 8 pull requests were merged for this release.

#21866: BUG: Fix discovered MachAr (still used within valgrind)
#21867: BUG: Handle NaNs correctly for float16 during sorting
#21868: BUG: Use keepdims during normalization in np.average and...
#21869: DOC: mention changes to max_rows behaviour in np.loadtxt
#21870: BUG: Reject non integer array-likes with size 1 in delete
#21949: BLD: Make can_link_svml return False for 32bit builds on x86_64
#21951: BUG: Reorder extern "C" to only apply to function declarations...
#21952: BUG: Fix KeyError in crackfortran operator support

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SHA256

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Assets 5

22 Jun 22:32

charris

v1.23.0

54c52f1

v1.23.0

NumPy 1.23.0 Release Notes

The NumPy 1.23.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed, clarify
the documentation, and expire old deprecations. The highlights are:

Implementation of loadtxt in C, greatly improving its performance.
Exposing DLPack at the Python level for easy data exchange.
Changes to the promotion and comparisons of structured dtypes.
Improvements to f2py.

See below for the details,

New functions

A masked array specialization of ndenumerate is now available as
numpy.ma.ndenumerate. It provides an alternative to
numpy.ndenumerate and skips masked values by default.

(gh-20020)
numpy.from_dlpack has been added to allow easy exchange of data
using the DLPack protocol. It accepts Python objects that implement
the __dlpack__ and __dlpack_device__ methods and returns a
ndarray object which is generally the view of the data of the input
object.

(gh-21145)

Deprecations

Setting __array_finalize__ to None is deprecated. It must now be
a method and may wish to call super().__array_finalize__(obj)
after checking for None or if the NumPy version is sufficiently
new.

(gh-20766)
Using axis=32 (axis=np.MAXDIMS) in many cases had the same
meaning as axis=None. This is deprecated and axis=None must be
used instead.

(gh-20920)
The hook function PyDataMem_SetEventHook has been deprecated and
the demonstration of its use in tool/allocation_tracking has been
removed. The ability to track allocations is now built-in to python
via tracemalloc.

(gh-20394)
numpy.distutils has been deprecated, as a result of distutils
itself being deprecated. It will not be present in NumPy for
Python >= 3.12, and will be removed completely 2 years after the
release of Python 3.12 For more details, see
distutils-status-migration{.interpreted-text role="ref"}.

(gh-20875)
numpy.loadtxt will now give a DeprecationWarning when an integer
dtype is requested but the value is formatted as a floating point number.

(gh-21663)

Expired deprecations

The NpzFile.iteritems() and NpzFile.iterkeys() methods have been
removed as part of the continued removal of Python 2 compatibility.
This concludes the deprecation from 1.15.

(gh-16830)
The alen and asscalar functions have been removed.

(gh-20414)
The UPDATEIFCOPY array flag has been removed together with the
enum NPY_ARRAY_UPDATEIFCOPY. The associated (and deprecated)
PyArray_XDECREF_ERR was also removed. These were all deprecated in
1.14. They are replaced by WRITEBACKIFCOPY, that requires calling
PyArray_ResoveWritebackIfCopy before the array is deallocated.

(gh-20589)
Exceptions will be raised during array-like creation. When an object
raised an exception during access of the special attributes
__array__ or __array_interface__, this exception was usually
ignored. This behaviour was deprecated in 1.21, and the exception
will now be raised.

(gh-20835)
Multidimensional indexing with non-tuple values is not allowed.
Previously, code such as arr[ind] where ind = [[0, 1], [0, 1]]
produced a FutureWarning and was interpreted as a multidimensional
index (i.e., arr[tuple(ind)]). Now this example is treated like an
array index over a single dimension (arr[array(ind)]).
Multidimensional indexing with anything but a tuple was deprecated
in NumPy 1.15.

(gh-21029)
Changing to a dtype of different size in F-contiguous arrays is no
longer permitted. Deprecated since Numpy 1.11.0. See below for an
extended explanation of the effects of this change.

(gh-20722)

New Features

crackfortran has support for operator and assignment overloading

crackfortran parser now understands operator and assignment
definitions in a module. They are added in the body list of the module
which contains a new key implementedby listing the names of the
subroutines or functions implementing the operator or assignment.

(gh-15006)

f2py supports reading access type attributes from derived type statements

As a result, one does not need to use public or private statements
to specify derived type access properties.

(gh-15844)

New parameter `ndmin` added to `genfromtxt`

This parameter behaves the same as ndmin from numpy.loadtxt.

(gh-20500)

`np.loadtxt` now supports quote character and single converter function

numpy.loadtxt now supports an additional quotechar keyword argument
which is not set by default. Using quotechar='"' will read quoted
fields as used by the Excel CSV dialect.

Further, it is now possible to pass a single callable rather than a
dictionary for the converters argument.

(gh-20580)

Changing to dtype of a different size now requires contiguity of only the last axis

Previously, viewing an array with a dtype of a different item size
required that the entire array be C-contiguous. This limitation would
unnecessarily force the user to make contiguous copies of non-contiguous
arrays before being able to change the dtype.

This change affects not only ndarray.view, but other construction
mechanisms, including the discouraged direct assignment to
ndarray.dtype.

This change expires the deprecation regarding the viewing of
F-contiguous arrays, described elsewhere in the release notes.

(gh-20722)

Deterministic output files for F2PY

For F77 inputs, f2py will generate modname-f2pywrappers.f
unconditionally, though these may be empty. For free-form inputs,
modname-f2pywrappers.f, modname-f2pywrappers2.f90 will both be
generated unconditionally, and may be empty. This allows writing generic
output rules in cmake or meson and other build systems. Older
behavior can be restored by passing --skip-empty-wrappers to f2py.
f2py-meson{.interpreted-text role="ref"} details usage.

(gh-21187)

`keepdims` parameter for `average`

The parameter keepdims was added to the functions numpy.average and
numpy.ma.average. The parameter has the same meaning as it does in
reduction functions such as numpy.sum or numpy.mean.

(gh-21485)

New parameter `equal_nan` added to `np.unique`

np.unique was changed in 1.21 to treat all NaN values as equal and
return a single NaN. Setting equal_nan=False will restore pre-1.21
behavior to treat NaNs as unique. Defaults to True.

(gh-21623)

Compatibility notes

1D `np.linalg.norm` preserves float input types, even for scalar results

Previously, this would promote to float64 when the ord argument was
not one of the explicitly listed values, e.g. ord=3:

>>> f32 = np.float32([1, 2])
>>> np.linalg.norm(f32, 2).dtype
dtype('float32')
>>> np.linalg.norm(f32, 3)
dtype('float64')  # numpy 1.22
dtype('float32')  # numpy 1.23

This change affects only float32 and float16 vectors with ord
other than -Inf, 0, 1, 2, and Inf.

(gh-17709)

Changes to structured (void) dtype promotion and comparisons

In general, NumPy now defines correct, but slightly limited, promotion
for structured dtypes by promoting the subtypes of each field instead of
raising an exception:

>>> np.result_type(np.dtype("i,i"), np.dtype("i,d"))
dtype([('f0', '<i4'), ('f1', '<f8')])

For promotion matching field names, order, and titles are enforced,
however padding is ignored. Promotion involving structured dtypes now
always ensures native byte-order for all fields (which may change the
result of np.concatenate) and ensures that the result will be
"packed", i.e. all fields are ordered contiguously and padding is
removed. See
structured_dtype_comparison_and_promotion{.interpreted-text
role="ref"} for further details.

The repr of aligned structures will now never print the long form
including offsets and itemsize unless the structure includes padding
not guaranteed by align=True.

In alignment with the above changes to the promotion logic, the casting
safety has been updated:

"equiv" enforces matching names and titles. The itemsize is
allowed to differ due to padding.
"safe" allows mismatching field names and titles
The cast safety is limited by the cast safety of each included
field.
The order of fields is used to decide cast safety of each individual
field. Previously, the field names were used and only unsafe casts
were possible when names mismatched.

The main important change here is that name mismatches are now
considered "safe" casts.

([gh-19226](https://github.com...

Assets 5

11 Jun 15:22

charris

v1.23.0rc3

5c598ed

v1.23.0rc3 Pre-release

Pre-release

NumPy 1.23.0 Release Notes

Implementation of loadtxt in C, greatly improving its performance.
Exposing DLPack at the Python level for easy data exchange.
Changes to the promotion and comparisons of structured dtypes.
Improvements to f2py.

See below for the details,

New functions

A masked array specialization of ndenumerate is now available as
numpy.ma.ndenumerate. It provides an alternative to
numpy.ndenumerate and skips masked values by default.

(gh-20020)
numpy.from_dlpack has been added to allow easy exchange of data
using the DLPack protocol. It accepts Python objects that implement
the __dlpack__ and __dlpack_device__ methods and returns a
ndarray object which is generally the view of the data of the input
object.

(gh-21145)

Deprecations

Setting __array_finalize__ to None is deprecated. It must now be
a method and may wish to call super().__array_finalize__(obj)
after checking for None or if the NumPy version is sufficiently
new.

(gh-20766)
Using axis=32 (axis=np.MAXDIMS) in many cases had the same
meaning as axis=None. This is deprecated and axis=None must be
used instead.

(gh-20920)
The hook function PyDataMem_SetEventHook has been deprecated and
the demonstration of its use in tool/allocation_tracking has been
removed. The ability to track allocations is now built-in to python
via tracemalloc.

(gh-20394)
numpy.distutils has been deprecated, as a result of distutils
itself being deprecated. It will not be present in NumPy for
Python >= 3.12, and will be removed completely 2 years after the
release of Python 3.12 For more details, see
distutils-status-migration{.interpreted-text role="ref"}.

(gh-20875)
numpy.loadtxt will now give a DeprecationWarning when an integer
dtype is requested but the value is formatted as a floating point number.

(gh-21663)

Expired deprecations

The NpzFile.iteritems() and NpzFile.iterkeys() methods have been
removed as part of the continued removal of Python 2 compatibility.
This concludes the deprecation from 1.15.

(gh-16830)
The alen and asscalar functions have been removed.

(gh-20414)
The UPDATEIFCOPY array flag has been removed together with the
enum NPY_ARRAY_UPDATEIFCOPY. The associated (and deprecated)
PyArray_XDECREF_ERR was also removed. These were all deprecated in
1.14. They are replaced by WRITEBACKIFCOPY, that requires calling
PyArray_ResoveWritebackIfCopy before the array is deallocated.

(gh-20589)
Exceptions will be raised during array-like creation. When an object
raised an exception during access of the special attributes
__array__ or __array_interface__, this exception was usually
ignored. This behaviour was deprecated in 1.21, and the exception
will now be raised.

(gh-20835)
Multidimensional indexing with non-tuple values is not allowed.
Previously, code such as arr[ind] where ind = [[0, 1], [0, 1]]
produced a FutureWarning and was interpreted as a multidimensional
index (i.e., arr[tuple(ind)]). Now this example is treated like an
array index over a single dimension (arr[array(ind)]).
Multidimensional indexing with anything but a tuple was deprecated
in NumPy 1.15.

(gh-21029)
Changing to a dtype of different size in F-contiguous arrays is no
longer permitted. Deprecated since Numpy 1.11.0. See below for an
extended explanation of the effects of this change.

(gh-20722)

New Features

crackfortran has support for operator and assignment overloading

(gh-15006)

f2py supports reading access type attributes from derived type statements

As a result, one does not need to use public or private statements
to specify derived type access properties.

(gh-15844)

New parameter `ndmin` added to `genfromtxt`

This parameter behaves the same as ndmin from numpy.loadtxt.

(gh-20500)

`np.loadtxt` now supports quote character and single converter function

numpy.loadtxt now supports an additional quotechar keyword argument
which is not set by default. Using quotechar='"' will read quoted
fields as used by the Excel CSV dialect.

Further, it is now possible to pass a single callable rather than a
dictionary for the converters argument.

(gh-20580)

Changing to dtype of a different size now requires contiguity of only the last axis

This change affects not only ndarray.view, but other construction
mechanisms, including the discouraged direct assignment to
ndarray.dtype.

This change expires the deprecation regarding the viewing of
F-contiguous arrays, described elsewhere in the release notes.

(gh-20722)

Deterministic output files for F2PY

(gh-21187)

`keepdims` parameter for `average`

The parameter keepdims was added to the functions numpy.average and
numpy.ma.average. The parameter has the same meaning as it does in
reduction functions such as numpy.sum or numpy.mean.

(gh-21485)

New parameter `equal_nan` added to `np.unique`

np.unique was changed in 1.21 to treat all NaN values as equal and
return a single NaN. Setting equal_nan=False will restore pre-1.21
behavior to treat NaNs as unique. Defaults to True.

(gh-21623)

Compatibility notes

1D `np.linalg.norm` preserves float input types, even for scalar results

Previously, this would promote to float64 when the ord argument was
not one of the explicitly listed values, e.g. ord=3:

>>> f32 = np.float32([1, 2])
>>> np.linalg.norm(f32, 2).dtype
dtype('float32')
>>> np.linalg.norm(f32, 3)
dtype('float64')  # numpy 1.22
dtype('float32')  # numpy 1.23

This change affects only float32 and float16 vectors with ord
other than -Inf, 0, 1, 2, and Inf.

(gh-17709)

Changes to structured (void) dtype promotion and comparisons

In general, NumPy now defines correct, but slightly limited, promotion
for structured dtypes by promoting the subtypes of each field instead of
raising an exception:

>>> np.result_type(np.dtype("i,i"), np.dtype("i,d"))
dtype([('f0', '<i4'), ('f1', '<f8')])

The repr of aligned structures will now never print the long form
including offsets and itemsize unless the structure includes padding
not guaranteed by align=True.

In alignment with the above changes to the promotion logic, the casting
safety has been updated:

"equiv" enforces matching names and titles. The itemsize is
allowed to differ due to padding.
"safe" allows mismatching field names and titles
The cast safety is limited by the cast safety of each included
field.
The order of fields is used to decide cast safety of each individual
field. Previously, the field names were used and only unsafe casts
were possible when names mismatched.

The main important change here is that name mismatches are now
considered "safe" casts.

([gh-19226](https://github.com...

Assets 5

30 May 17:55

charris

v1.23.0rc2

6377d88

v1.23.0rc2 Pre-release

Pre-release

NumPy 1.23.0 Release Notes

Implementation of loadtxt in C, greatly improving its performance.
Exposing DLPack at the Python level for easy data exchange.
Changes to the promotion and comparisons of structured dtypes.
Improvements to f2py.

See below for the details,

New functions

A masked array specialization of ndenumerate is now available as
numpy.ma.ndenumerate. It provides an alternative to
numpy.ndenumerate and skips masked values by default.

(gh-20020)
numpy.from_dlpack has been added to allow easy exchange of data
using the DLPack protocol. It accepts Python objects that implement
the __dlpack__ and __dlpack_device__ methods and returns a
ndarray object which is generally the view of the data of the input
object.

(gh-21145)

Deprecations

Setting __array_finalize__ to None is deprecated. It must now be
a method and may wish to call super().__array_finalize__(obj)
after checking for None or if the NumPy version is sufficiently
new.

(gh-20766)
Using axis=32 (axis=np.MAXDIMS) in many cases had the same
meaning as axis=None. This is deprecated and axis=None must be
used instead.

(gh-20920)
The hook function PyDataMem_SetEventHook has been deprecated and
the demonstration of its use in tool/allocation_tracking has been
removed. The ability to track allocations is now built-in to python
via tracemalloc.

(gh-20394)
numpy.distutils has been deprecated, as a result of distutils
itself being deprecated. It will not be present in NumPy for
Python >= 3.12, and will be removed completely 2 years after the
release of Python 3.12 For more details, see
distutils-status-migration{.interpreted-text role="ref"}.

(gh-20875)

Expired deprecations

The NpzFile.iteritems() and NpzFile.iterkeys() methods have been
removed as part of the continued removal of Python 2 compatibility.
This concludes the deprecation from 1.15.

(gh-16830)
The alen and asscalar functions have been removed.

(gh-20414)
The UPDATEIFCOPY array flag has been removed together with the
enum NPY_ARRAY_UPDATEIFCOPY. The associated (and deprecated)
PyArray_XDECREF_ERR was also removed. These were all deprecated in
1.14. They are replaced by WRITEBACKIFCOPY, that requires calling
PyArray_ResoveWritebackIfCopy before the array is deallocated.

(gh-20589)
Exceptions will be raised during array-like creation. When an object
raised an exception during access of the special attributes
__array__ or __array_interface__, this exception was usually
ignored. This behaviour was deprecated in 1.21, and the exception
will now be raised.

(gh-20835)
Multidimensional indexing with non-tuple values is not allowed.
Previously, code such as arr[ind] where ind = [[0, 1], [0, 1]]
produced a FutureWarning and was interpreted as a multidimensional
index (i.e., arr[tuple(ind)]). Now this example is treated like an
array index over a single dimension (arr[array(ind)]).
Multidimensional indexing with anything but a tuple was deprecated
in NumPy 1.15.

(gh-21029)
Changing to a dtype of different size in F-contiguous arrays is no
longer permitted. Deprecated since Numpy 1.11.0. See below for an
extended explanation of the effects of this change.

(gh-20722)

New Features

crackfortran has support for operator and assignment overloading

(gh-15006)

f2py supports reading access type attributes from derived type statements

As a result, one does not need to use public or private statements
to specify derived type access properties.

(gh-15844)

New parameter `ndmin` added to `genfromtxt`

This parameter behaves the same as ndmin from numpy.loadtxt.

(gh-20500)

`np.loadtxt` now supports quote character and single converter function

numpy.loadtxt now supports an additional quotechar keyword argument
which is not set by default. Using quotechar='"' will read quoted
fields as used by the Excel CSV dialect.

Further, it is now possible to pass a single callable rather than a
dictionary for the converters argument.

(gh-20580)

Changing to dtype of a different size now requires contiguity of only the last axis

This change affects not only ndarray.view, but other construction
mechanisms, including the discouraged direct assignment to
ndarray.dtype.

This change expires the deprecation regarding the viewing of
F-contiguous arrays, described elsewhere in the release notes.

(gh-20722)

Deterministic output files for F2PY

(gh-21187)

`keepdims` parameter for `average`

The parameter keepdims was added to the functions numpy.average and
numpy.ma.average. The parameter has the same meaning as it does in
reduction functions such as numpy.sum or numpy.mean.

(gh-21485)

Compatibility notes

1D `np.linalg.norm` preserves float input types, even for scalar results

Previously, this would promote to float64 when the ord argument was
not one of the explicitly listed values, e.g. ord=3:

>>> f32 = np.float32([1, 2])
>>> np.linalg.norm(f32, 2).dtype
dtype('float32')
>>> np.linalg.norm(f32, 3)
dtype('float64')  # numpy 1.22
dtype('float32')  # numpy 1.23

This change affects only float32 and float16 vectors with ord
other than -Inf, 0, 1, 2, and Inf.

(gh-17709)

Changes to structured (void) dtype promotion and comparisons

In general, NumPy now defines correct, but slightly limited, promotion
for structured dtypes by promoting the subtypes of each field instead of
raising an exception:

>>> np.result_type(np.dtype("i,i"), np.dtype("i,d"))
dtype([('f0', '<i4'), ('f1', '<f8')])

The repr of aligned structures will now never print the long form
including offsets and itemsize unless the structure includes padding
not guaranteed by align=True.

In alignment with the above changes to the promotion logic, the casting
safety has been updated:

"equiv" enforces matching names and titles. The itemsize is
allowed to differ due to padding.
"safe" allows mismatching field names and titles
The cast safety is limited by the cast safety of each included
field.
The order of fields is used to decide cast safety of each individual
field. Previously, the field names were used and only unsafe casts
were possible when names mismatched.

The main important change here is that name mismatches are now
considered "safe" casts.

(gh-19226)

`NPY_RELAXED_STRIDES_CHECKING` has been removed

NumPy cannot be compiled with NPY_RELAXED_STRIDES_CHECKING=0 anymore.
Relaxed strides have been the default for many years and the option was
initially introduced to allow a smoother transition.

(gh-20220)

`np.loadtxt` has recieved several changes

The row counting of numpy.loadtxt was fixed. loadtxt ignores fully
empty lines in the file, but counted them towards max_rows. When
`ma...

Assets 5

27 May 00:00

charris

v1.23.0rc1

5726e6c

v1.23.0rc1 Pre-release

Pre-release

NumPy 1.23.0 Release Notes

Implementation of loadtxt in C, greatly improving its performance.
Exposing DLPack at the Python level for easy data exchange.
Changes to the promotion and comparisons of structured dtypes.
Improvements to f2py.

See below for the details,

New functions

A masked array specialization of ndenumerate is now available as
numpy.ma.ndenumerate. It provides an alternative to
numpy.ndenumerate and skips masked values by default.

(gh-20020)
numpy.from_dlpack has been added to allow easy exchange of data
using the DLPack protocol. It accepts Python objects that implement
the __dlpack__ and __dlpack_device__ methods and returns a
ndarray object which is generally the view of the data of the input
object.

(gh-21145)

Deprecations

Setting __array_finalize__ to None is deprecated. It must now be
a method and may wish to call super().__array_finalize__(obj)
after checking for None or if the NumPy version is sufficiently
new.

(gh-20766)
Using axis=32 (axis=np.MAXDIMS) in many cases had the same
meaning as axis=None. This is deprecated and axis=None must be
used instead.

(gh-20920)
The hook function PyDataMem_SetEventHook has been deprecated and
the demonstration of its use in tool/allocation_tracking has been
removed. The ability to track allocations is now built-in to python
via tracemalloc.

(gh-20394)
numpy.distutils has been deprecated, as a result of distutils
itself being deprecated. It will not be present in NumPy for
Python >= 3.12, and will be removed completely 2 years after the
release of Python 3.12 For more details, see
distutils-status-migration{.interpreted-text role="ref"}.

(gh-20875)

Expired deprecations

The NpzFile.iteritems() and NpzFile.iterkeys() methods have been
removed as part of the continued removal of Python 2 compatibility.
This concludes the deprecation from 1.15.

(gh-16830)
The alen and asscalar functions have been removed.

(gh-20414)
The UPDATEIFCOPY array flag has been removed together with the
enum NPY_ARRAY_UPDATEIFCOPY. The associated (and deprecated)
PyArray_XDECREF_ERR was also removed. These were all deprecated in
1.14. They are replaced by WRITEBACKIFCOPY, that requires calling
PyArray_ResoveWritebackIfCopy before the array is deallocated.

(gh-20589)
Exceptions will be raised during array-like creation. When an object
raised an exception during access of the special attributes
__array__ or __array_interface__, this exception was usually
ignored. This behaviour was deprecated in 1.21, and the exception
will now be raised.

(gh-20835)
Multidimensional indexing with non-tuple values is not allowed.
Previously, code such as arr[ind] where ind = [[0, 1], [0, 1]]
produced a FutureWarning and was interpreted as a multidimensional
index (i.e., arr[tuple(ind)]). Now this example is treated like an
array index over a single dimension (arr[array(ind)]).
Multidimensional indexing with anything but a tuple was deprecated
in NumPy 1.15.

(gh-21029)
Changing to a dtype of different size in F-contiguous arrays is no
longer permitted. Deprecated since Numpy 1.11.0. See below for an
extended explanation of the effects of this change.

(gh-20722)

New Features

crackfortran has support for operator and assignment overloading

(gh-15006)

f2py supports reading access type attributes from derived type statements

As a result, one does not need to use public or private statements
to specify derived type access properties.

(gh-15844)

New parameter `ndmin` added to `genfromtxt`

This parameter behaves the same as ndmin from numpy.loadtxt.

(gh-20500)

`np.loadtxt` now supports quote character and single converter function

numpy.loadtxt now supports an additional quotechar keyword argument
which is not set by default. Using quotechar='"' will read quoted
fields as used by the Excel CSV dialect.

Further, it is now possible to pass a single callable rather than a
dictionary for the converters argument.

(gh-20580)

Changing to dtype of a different size now requires contiguity of only the last axis

This change affects not only ndarray.view, but other construction
mechanisms, including the discouraged direct assignment to
ndarray.dtype.

This change expires the deprecation regarding the viewing of
F-contiguous arrays, described elsewhere in the release notes.

(gh-20722)

Deterministic output files for F2PY

(gh-21187)

`keepdims` parameter for `average`

The parameter keepdims was added to the functions numpy.average and
numpy.ma.average. The parameter has the same meaning as it does in
reduction functions such as numpy.sum or numpy.mean.

(gh-21485)

Compatibility notes

1D `np.linalg.norm` preserves float input types, even for scalar results

Previously, this would promote to float64 when the ord argument was
not one of the explicitly listed values, e.g. ord=3:

>>> f32 = np.float32([1, 2])
>>> np.linalg.norm(f32, 2).dtype
dtype('float32')
>>> np.linalg.norm(f32, 3)
dtype('float64')  # numpy 1.22
dtype('float32')  # numpy 1.23

This change affects only float32 and float16 vectors with ord
other than -Inf, 0, 1, 2, and Inf.

(gh-17709)

Changes to structured (void) dtype promotion and comparisons

In general, NumPy now defines correct, but slightly limited, promotion
for structured dtypes by promoting the subtypes of each field instead of
raising an exception:

>>> np.result_type(np.dtype("i,i"), np.dtype("i,d"))
dtype([('f0', '<i4'), ('f1', '<f8')])

The repr of aligned structures will now never print the long form
including offsets and itemsize unless the structure includes padding
not guaranteed by align=True.

In alignment with the above changes to the promotion logic, the casting
safety has been updated:

"equiv" enforces matching names and titles. The itemsize is
allowed to differ due to padding.
"safe" allows mismatching field names and titles
The cast safety is limited by the cast safety of each included
field.
The order of fields is used to decide cast safety of each individual
field. Previously, the field names were used and only unsafe casts
were possible when names mismatched.

The main important change here is that name mismatches are now
considered "safe" casts.

(gh-19226)

`NPY_RELAXED_STRIDES_CHECKING` has been removed

NumPy cannot be compiled with NPY_RELAXED_STRIDES_CHECKING=0 anymore.
Relaxed strides have been the default for many years and the option was
initially introduced to allow a smoother transition.

(gh-20220)

`np.loadtxt` has recieved several changes

The row counting of numpy.loadtxt was fixed. loadtxt ignores fully
empty lines in the file, but counted them towards max_rows. When
`ma...

Assets 5

20 May 21:49

charris

v1.22.4

08772f9

v1.22.4

NumPy 1.22.4 Release Notes

NumPy 1.22.4 is a maintenance release that fixes bugs discovered after
the 1.22.3 release. In addition, the wheels for this release are built
using the recently released Cython 0.29.30, which should fix the
reported problems with
debugging.

The Python versions supported for this release are 3.8-3.10. Note that
the Mac wheels are now based on OS X 10.15 rather than 10.6 that was
used in previous NumPy release cycles.

Contributors

A total of 12 people contributed to this release. People with a "+" by
their names contributed a patch for the first time.

Alexander Shadchin
Bas van Beek
Charles Harris
Hood Chatham
Jarrod Millman
John-Mark Gurney +
Junyan Ou +
Mariusz Felisiak +
Ross Barnowski
Sebastian Berg
Serge Guelton
Stefan van der Walt

Pull requests merged

A total of 22 pull requests were merged for this release.

#21191: TYP, BUG: Fix np.lib.stride_tricks re-exported under the...
#21192: TST: Bump mypy from 0.931 to 0.940
#21243: MAINT: Explicitly re-export the types in numpy._typing
#21245: MAINT: Specify sphinx, numpydoc versions for CI doc builds
#21275: BUG: Fix typos
#21277: ENH, BLD: Fix math feature detection for wasm
#21350: MAINT: Fix failing simd and cygwin tests.
#21438: MAINT: Fix failing Python 3.8 32-bit Windows test.
#21444: BUG: add linux guard per #21386
#21445: BUG: Allow legacy dtypes to cast to datetime again
#21446: BUG: Make mmap handling safer in frombuffer
#21447: BUG: Stop using PyBytesObject.ob_shash deprecated in Python 3.11.
#21448: ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS
#21472: BUG: Ensure compile errors are raised correclty
#21473: BUG: Fix segmentation fault
#21474: MAINT: Update doc requirements
#21475: MAINT: Mark npy_memchr with no_sanitize("alignment") on clang
#21512: DOC: Proposal - make the doc landing page cards more similar...
#21525: MAINT: Update Cython version to 0.29.30.
#21536: BUG: Fix GCC error during build configuration
#21541: REL: Prepare for the NumPy 1.22.4 release.
#21547: MAINT: Skip tests that fail on PyPy.

Checksums

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SHA256

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Assets 6

12 Apr 15:30

charris

v1.21.6

ef0ec78

v1.21.6

NumPy 1.21.6 Release Notes

NumPy 1.21.6 is a very small release that achieves two things:

Backs out the mistaken backport of C++ code into 1.21.5.
Provides a 32 bit Windows wheel for Python 3.10.

The provision of the 32 bit wheel is intended to make life easier for
oldest-supported-numpy.

Checksums

MD5

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SHA256

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Assets 6

Releases: numpy/numpy

v1.23.4

NumPy 1.23.4 Release Notes

Contributors

Pull requests merged

Checksums

MD5

SHA256

v1.23.3

NumPy 1.23.3 Release Notes

Contributors

Pull requests merged

Checksums

MD5

SHA256

v1.23.2

NumPy 1.23.2 Release Notes

Contributors

Pull requests merged

Checksums

MD5

SHA256

v1.23.1

NumPy 1.23.1 Release Notes

Contributors

Pull requests merged

Checksums

MD5

SHA256

v1.23.0

NumPy 1.23.0 Release Notes

New functions

Deprecations

Expired deprecations

New Features

crackfortran has support for operator and assignment overloading

f2py supports reading access type attributes from derived type statements

New parameter ndmin added to genfromtxt

np.loadtxt now supports quote character and single converter function

Changing to dtype of a different size now requires contiguity of only the last axis

Deterministic output files for F2PY

keepdims parameter for average

New parameter equal_nan added to np.unique

Compatibility notes

1D np.linalg.norm preserves float input types, even for scalar results

Changes to structured (void) dtype promotion and comparisons

v1.23.0rc3

NumPy 1.23.0 Release Notes

New functions

Deprecations

Expired deprecations

New Features

crackfortran has support for operator and assignment overloading

f2py supports reading access type attributes from derived type statements

New parameter ndmin added to genfromtxt

np.loadtxt now supports quote character and single converter function

Changing to dtype of a different size now requires contiguity of only the last axis

Deterministic output files for F2PY

keepdims parameter for average

New parameter equal_nan added to np.unique

Compatibility notes

1D np.linalg.norm preserves float input types, even for scalar results

Changes to structured (void) dtype promotion and comparisons

v1.23.0rc2

NumPy 1.23.0 Release Notes

New functions

Deprecations

Expired deprecations

New Features

crackfortran has support for operator and assignment overloading

f2py supports reading access type attributes from derived type statements

New parameter ndmin added to genfromtxt

np.loadtxt now supports quote character and single converter function

Changing to dtype of a different size now requires contiguity of only the last axis

Deterministic output files for F2PY

keepdims parameter for average

Compatibility notes

1D np.linalg.norm preserves float input types, even for scalar results

Changes to structured (void) dtype promotion and comparisons

NPY_RELAXED_STRIDES_CHECKING has been removed

New parameter `ndmin` added to `genfromtxt`

`np.loadtxt` now supports quote character and single converter function

`keepdims` parameter for `average`

New parameter `equal_nan` added to `np.unique`

1D `np.linalg.norm` preserves float input types, even for scalar results

New parameter `ndmin` added to `genfromtxt`

`np.loadtxt` now supports quote character and single converter function

`keepdims` parameter for `average`

New parameter `equal_nan` added to `np.unique`

1D `np.linalg.norm` preserves float input types, even for scalar results

New parameter `ndmin` added to `genfromtxt`

`np.loadtxt` now supports quote character and single converter function

`keepdims` parameter for `average`

1D `np.linalg.norm` preserves float input types, even for scalar results

`NPY_RELAXED_STRIDES_CHECKING` has been removed

`np.loadtxt` has recieved several changes

New parameter `ndmin` added to `genfromtxt`

`np.loadtxt` now supports quote character and single converter function

`keepdims` parameter for `average`

1D `np.linalg.norm` preserves float input types, even for scalar results

`NPY_RELAXED_STRIDES_CHECKING` has been removed

`np.loadtxt` has recieved several changes