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sklam merged 4 commits into from
Feb 9, 2024
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Release notes fixes for appropriate Towncrier header underlines #9364

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3535aea
Updated scripts to have correct rendering header underlines
kc611 Dec 14, 2023
43eca6d
Updated existing snippets to be consistent with existing templates
kc611 Dec 14, 2023
d082c5d
Updated previous release notes to be consistent with existing scripts
kc611 Dec 14, 2023
7a7c22c
Update docs/upcoming_changes/9249.np_support.rst
kc611 Dec 14, 2023
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80 changes: 40 additions & 40 deletions docs/source/release/0.58.0-notes.rst
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@@ -1,5 +1,5 @@
Version 0.58.0 (20 September 2023)
----------------------------------
==================================

.. contents:: Table of Contents
:depth: 2
Expand All @@ -11,7 +11,7 @@ Highlights
~~~~~~~~~~

Added towncrier
"""""""""""""""
---------------

This PR adds towncrier as a GitHub workflow for checking release notes.
From this PR onwards every PR made in Numba will require a appropriate
Expand All @@ -22,43 +22,43 @@ release notes in smaller PRs with minimal impact by addition of a
(`PR-#8792 <https://github.com/numba/numba/pull/8792>`__)

The minimum supported NumPy version is 1.22.
""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------

Following NEP-0029, the minimum supported NumPy version is now 1.22.

(`PR-#9093 <https://github.com/numba/numba/pull/9093>`__)

Add support for NumPy 1.25
""""""""""""""""""""""""""
--------------------------

Extend Numba to support new and changed features released in NumPy 1.25.

(`PR-#9011 <https://github.com/numba/numba/pull/9011>`__)

Remove NVVM 3.4 and CTK 11.0 / 11.1 support
"""""""""""""""""""""""""""""""""""""""""""
-------------------------------------------

Support for CUDA toolkits < 11.2 is removed.

(`PR-#9040 <https://github.com/numba/numba/pull/9040>`__)

Removal of Windows 32-bit Support
"""""""""""""""""""""""""""""""""
---------------------------------

This release onwards, Numba has discontinued support for Windows 32-bit
operating systems.

(`PR-#9083 <https://github.com/numba/numba/pull/9083>`__)

The minimum llvmlite version is now 0.41.0.
"""""""""""""""""""""""""""""""""""""""""""
-------------------------------------------

The minimum required version of llvmlite is now version 0.41.0.

(`PR-#8916 <https://github.com/numba/numba/pull/8916>`__)

Added RVSDG-frontend
""""""""""""""""""""
--------------------

This PR is a preliminary work on adding a RVSDG-frontend for processing
bytecode. RVSDG (Regionalized Value-State Dependence Graph) allows us to
Expand All @@ -71,7 +71,7 @@ New Features
~~~~~~~~~~~~

``numba.experimental.jitclass`` gains support for ``__*matmul__`` methods.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------------------------------

``numba.experimental.jitclass`` now has support for the following methods:

Expand All @@ -81,8 +81,8 @@ New Features

(`PR-#8892 <https://github.com/numba/numba/pull/8892>`__)

``numba.experimental.jitclass`` gains support for reflected "dunder" methods.
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
``numba.experimental.jitclass`` gains support for reflected -dunder- methods.
-----------------------------------------------------------------------------

``numba.experimental.jitclass`` now has support for the following methods:

Expand All @@ -103,7 +103,7 @@ New Features


Add support for value ``max`` to ``NUMBA_OPT``.
"""""""""""""""""""""""""""""""""""""""""""""""
-----------------------------------------------

The optimisation level that Numba applies when compiling can be set through the
environment variable ``NUMBA_OPT``. This has historically been a value between
Expand All @@ -122,7 +122,7 @@ Improvements
~~~~~~~~~~~~

Updates to ``numba.core.pythonapi``.
""""""""""""""""""""""""""""""""""""
------------------------------------

Support for Python C-API functions ``PyBytes_AsString`` and
``PyBytes_AsStringAndSize`` is added to ``numba.core.pythonapi.PythonAPI`` as
Expand All @@ -131,7 +131,7 @@ Support for Python C-API functions ``PyBytes_AsString`` and
(`PR-#8462 <https://github.com/numba/numba/pull/8462>`__)

Support for ``isinstance`` is now non-experimental.
"""""""""""""""""""""""""""""""""""""""""""""""""""
---------------------------------------------------

Support for the ``isinstance`` built-in function has moved from being considered
an experimental feature to a fully supported feature.
Expand All @@ -143,15 +143,15 @@ NumPy Support
~~~~~~~~~~~~~

All modes are supported in ``numpy.correlate`` and ``numpy.convolve``.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
----------------------------------------------------------------------

All values for the ``mode`` argument to ``numpy.correlate`` and
``numpy.convolve`` are now supported.

(`PR-#7543 <https://github.com/numba/numba/pull/7543>`__)

``@vectorize`` accommodates arguments implementing ``__array_ufunc__``.
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
-----------------------------------------------------------------------

Universal functions (``ufunc``\ s) created with ``numba.vectorize`` will now
respect arguments implementing ``__array_ufunc__`` (NEP-13) to allow pre- and
Expand All @@ -162,7 +162,7 @@ interpreter.


Added support for ``np.geomspace`` function.
""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------

This PR improves on `#4074 <https://github.com/numba/numba/issues/4074>`__ by
adding support for ``np.geomspace``. The current implementation only supports
Expand All @@ -171,42 +171,42 @@ scalar ``start`` and ``stop`` parameters.
(`PR-#9068 <https://github.com/numba/numba/pull/9068>`__)

Added support for ``np.vsplit``, ``np.hsplit``, ``np.dsplit``.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------------------

This PR improves on `#4074 <https://github.com/numba/numba/issues/4074>`__ by adding support for ``np.vsplit``, ``np.hsplit``, ``and np.dsplit``.

(`PR-#9082 <https://github.com/numba/numba/pull/9082>`__)

Added support for ``np.row_stack`` function.
""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------

Support is added for ``numpy.row_stack``.

(`PR-#9085 <https://github.com/numba/numba/pull/9085>`__)

Added support for functions ``np.polynomial.polyutils.trimseq``, as well as functions ``polyadd``, ``polysub``, ``polymul`` from ``np.polynomial.polynomial``.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------------------------------------------------------------------------------------------------------------------

Support is added for ``np.polynomial.polyutils.trimseq``, ``np.polynomial.polynomial.polyadd``, ``np.polynomial.polynomial.polysub``, ``np.polynomial.polynomial.polymul``.

(`PR-#9087 <https://github.com/numba/numba/pull/9087>`__)

Added support for ``np.diagflat`` function.
"""""""""""""""""""""""""""""""""""""""""""
-------------------------------------------

Support is added for ``numpy.diagflat``.

(`PR-#9113 <https://github.com/numba/numba/pull/9113>`__)

Added support for ``np.resize`` function.
"""""""""""""""""""""""""""""""""""""""""
-----------------------------------------

Support is added for ``numpy.resize``.

(`PR-#9118 <https://github.com/numba/numba/pull/9118>`__)

Add np.trim_zeros
"""""""""""""""""
-----------------

Support for ``np.trim_zeros()`` is added.

Expand All @@ -217,7 +217,7 @@ CUDA Changes
~~~~~~~~~~~~

Bitwise operation ``ufunc`` support for the CUDA target.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------------

Support is added for some ``ufunc``\ s associated with bitwise operation on the
CUDA target. Namely:
Expand All @@ -233,22 +233,22 @@ CUDA target. Namely:
(`PR-#8974 <https://github.com/numba/numba/pull/8974>`__)

Add support for the latest CUDA driver codes.
"""""""""""""""""""""""""""""""""""""""""""""
---------------------------------------------

Support is added for the latest set of CUDA driver codes.

(`PR-#8988 <https://github.com/numba/numba/pull/8988>`__)


Add NumPy comparison ufunc in CUDA
""""""""""""""""""""""""""""""""""
----------------------------------
this PR adds support for comparison ufuncs for the CUDA target
(eg. ``numpy.greater``, ``numpy.greater_equal``, ``numpy.less_equal``, etc.).

(`PR-#9007 <https://github.com/numba/numba/pull/9007>`__)

Report absolute path of ``libcuda.so`` on Linux
"""""""""""""""""""""""""""""""""""""""""""""""
-----------------------------------------------

``numba -s`` now reports the absolute path to ``libcuda.so`` on Linux, to aid
troubleshooting driver issues, particularly on WSL2 where a Linux driver can
Expand All @@ -257,7 +257,7 @@ incorrectly be installed in the environment.
(`PR-#9034 <https://github.com/numba/numba/pull/9034>`__)

Add debuginfo support to ``nvdisasm`` output.
"""""""""""""""""""""""""""""""""""""""""""""
---------------------------------------------

Support is added for debuginfo (source line and inlining information) in
functions that make calls through ``nvdisasm``. For example the CUDA dispatcher
Expand All @@ -267,7 +267,7 @@ functions that make calls through ``nvdisasm``. For example the CUDA dispatcher


Add CUDA SASS CFG Support
"""""""""""""""""""""""""
-------------------------

This PR adds support for getting the SASS CFG in dot language format.
It adds an ``inspect_sass_cfg()`` method to CUDADispatcher and the ``-cfg``
Expand All @@ -276,15 +276,15 @@ flag to the nvdisasm command line tool.
(`PR-#9051 <https://github.com/numba/numba/pull/9051>`__)

Support NVRTC using the ctypes binding
""""""""""""""""""""""""""""""""""""""
--------------------------------------

NVRTC can now be used when the ctypes binding is in use, enabling float16, and
linking CUDA C / C++ sources without needing the NVIDIA CUDA Python bindings.

(`PR-#9086 <https://github.com/numba/numba/pull/9086>`__)

Fix CUDA atomics tests with toolkit 12.2
""""""""""""""""""""""""""""""""""""""""
----------------------------------------

CUDA 12.2 generates slightly different PTX for some atomics, so the relevant
tests are updated to look for the correct instructions when 12.2 is used.
Expand All @@ -296,15 +296,15 @@ Bug Fixes
~~~~~~~~~

Handling of different sized unsigned integer indexes are fixed in ``numba.typed.List``.
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
---------------------------------------------------------------------------------------

An issue with the order of truncation/extension and casting of unsigned integer
indexes in ``numba.typed.List`` has been fixed.

(`PR-#7262 <https://github.com/numba/numba/pull/7262>`__)

Prevent invalid fusion
""""""""""""""""""""""
----------------------

This PR fixes an issue in which an array first read in a parfor and later
written in the same parfor would only be classified as used in the parfor.
Expand All @@ -316,22 +316,22 @@ in a parfor as being both used and defined so that fusion will be prevented.
(`PR-#7582 <https://github.com/numba/numba/pull/7582>`__)

The ``numpy.allclose`` implementation now correctly handles default arguments.
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
------------------------------------------------------------------------------

The implementation of ``numpy.allclose`` is corrected to use ``TypingError`` to
report typing errors.

(`PR-#8885 <https://github.com/numba/numba/pull/8885>`__)

Add type validation to ``numpy.isclose``.
"""""""""""""""""""""""""""""""""""""""""
-----------------------------------------

Type validation is added to the implementation of ``numpy.isclose``.

(`PR-#8944 <https://github.com/numba/numba/pull/8944>`__)

Fix support for overloading dispatcher with non-compatible first-class functions
""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------------------------------------

Fixes an error caused by not handling compilation error during casting of
``Dispatcher`` objects into first-class functions. With the fix, users can now
Expand All @@ -341,15 +341,15 @@ https://github.com/numba/numba/issues/9071 for details.
(`PR-#9072 <https://github.com/numba/numba/pull/9072>`__)

Support ``dtype`` keyword argument in ``numpy.arange`` with ``parallel=True``
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
-----------------------------------------------------------------------------

Fixes parfors transformation to support the use of ``dtype`` keyword argument in
``numpy.arange(..., dtype=dtype)``.

(`PR-#9095 <https://github.com/numba/numba/pull/9095>`__)

Fix all ``@overload``\ s to use parameter names that match public APIs.
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
-----------------------------------------------------------------------

Some of the Numba ``@overload``\ s for functions in NumPy and Python's built-ins
were written using parameter names that did not match those used in API they
Expand Down Expand Up @@ -426,7 +426,7 @@ Changes


Support for ``@numba.extending.intrinsic(prefer_literal=True)``
"""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
---------------------------------------------------------------

In the high level extension API, the ``prefer_literal`` option is added to the
``numba.extending.intrinsic`` decorator to prioritize the use of literal types
Expand All @@ -440,7 +440,7 @@ Deprecations
~~~~~~~~~~~~

Deprecation of old-style ``NUMBA_CAPTURED_ERRORS``
""""""""""""""""""""""""""""""""""""""""""""""""""
--------------------------------------------------

Added deprecation schedule of ``NUMBA_CAPTURED_ERRORS=old_style``.
``NUMBA_CAPTURED_ERRORS=new_style`` will become the default in future releases.
Expand Down
6 changes: 3 additions & 3 deletions docs/source/release/0.58.1-notes.rst
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Version 0.58.1 (17 October 2023)
--------------------------------
================================

This is a maintenance release that adds support for NumPy 1.26 and fixes a bug.

NumPy Support
~~~~~~~~~~~~~

Support NumPy 1.26
==================
------------------

Support for NumPy 1.26 is added.

Expand All @@ -19,7 +19,7 @@ Bug Fixes
~~~~~~~~~

Fixed handling of float default arguments in inline closures
============================================================
------------------------------------------------------------

Float default arguments in inline closures would produce incorrect results since
updates for Python 3.11 - these are now handled correctly again.
Expand Down
2 changes: 1 addition & 1 deletion docs/upcoming_changes/9048.bug_fix.rst
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Dynamically Allocate Parfor Schedules
=====================================
-------------------------------------

This PR fixes an issue where a parallel region is executed in a loop
many times. The previous code used an alloca to allocate the parfor
Expand Down
2 changes: 1 addition & 1 deletion docs/upcoming_changes/9089.bug_fix.rst
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Handling of `None` args fixed in `PythonAPI.call`.
==================================================
--------------------------------------------------

Fixing segfault when `args=None` was passed to `PythonAPI.call`.
2 changes: 1 addition & 1 deletion docs/upcoming_changes/9123.new_feature.rst
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Add support for ufunc attributes and reduce
===========================================
-------------------------------------------

Support for ``ufunc.reduce`` and most ufunc attributes is added.
2 changes: 1 addition & 1 deletion docs/upcoming_changes/9126.np_support.rst
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Added support for np.indices() function.
========================================
----------------------------------------

Support is added for ``numpy.indices()``.
2 changes: 1 addition & 1 deletion docs/upcoming_changes/9140.np_support.rst
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Added support for `np.polynomial.polynomial.Polynomial` class.
==============================================================
--------------------------------------------------------------

Support is added for the `Polynomial` class from the package `np.polynomial.polynomial`.
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