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Add towncrier news snippets for PRs that are missing them.
This adds news snippets for PRs that are scheduled for Numba 0.58 but were merged prior to towncrier being enabled and a news snippet being a requirement. Closes #9070
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Handling of different sized unsigned integer indexes are fixed in ``numba.typed.List``. | ||
======================================================================================= | ||
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An issue with the order of truncation/extension and casting of unsigned integer | ||
indexes in ``numba.typed.List`` has been fixed. |
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All modes are supported in ``numpy.correlate`` and ``numpy.convolve``. | ||
====================================================================== | ||
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All values for the ``mode`` argument to ``numpy.correlate`` and | ||
``numpy.convolve`` are now supported. |
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Updates to ``numba.core.pythonapi``. | ||
==================================== | ||
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Support for Python C-API functions ``PyBytes_AsString`` and | ||
``PyBytes_AsStringAndSize`` is added to ``numba.core.pythonapi.PythonAPI`` as | ||
``bytes_as_string`` and ``bytes_as_string_and_size`` methods respectively. |
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Support is added for ``numpy.lib.stride_tricks.sliding_window_view``. | ||
===================================================================== | ||
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Support is added for ``numpy.lib.stride_tricks.sliding_window_view`` with | ||
arguments ``window_size`` and ``axis``. |
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The ``numpy.allclose`` implementation now correctly handles default arguments. | ||
============================================================================== | ||
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The implementation of ``numpy.allclose`` is corrected to use ``TypingError`` to | ||
report typing errors. |
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``numba.experimental.jitclass`` gains support for ``__*matmul__`` methods. | ||
========================================================================== | ||
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``numba.experimental.jitclass`` now has support for the following methods: | ||
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* ``__matmul__`` | ||
* ``__imatmul__`` | ||
* ``__rmatmul__`` |
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``numba.experimental.jitclass`` gains support for reflected "dunder" methods. | ||
============================================================================= | ||
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``numba.experimental.jitclass`` now has support for the following methods: | ||
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* ``__radd__`` | ||
* ``__rand_`` | ||
* ``__rfloordiv__`` | ||
* ``__rlshift__`` | ||
* ``__ror_`` | ||
* ``__rmod_`` | ||
* ``__rmul_`` | ||
* ``__rpow_`` | ||
* ``__rrshift_`` | ||
* ``__rsub_`` | ||
* ``__rtruediv_`` | ||
* ``__rxor_`` |
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Support for ``isinstance`` is now non-experimental. | ||
=================================================== | ||
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Support for the ``isinstance`` built-in function has moved from being considered | ||
an experimental feature to a fully supported feature. |
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The minimum ``llvmlite`` version is now 0.41.0. | ||
=============================================== | ||
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The minimum required version of ``llvmlite`` is now version 0.41.0. |
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Add type validation to ``numpy.isclose``. | ||
========================================= | ||
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Type validation is added to the implementation of ``numpy.isclose``. |
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Bitwise operation ``ufunc`` support for the CUDA target. | ||
======================================================== | ||
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Support is added for some ``ufunc``s associated with bitwise operation on the | ||
CUDA target. Namely: | ||
* ``numpy.bitwise_and`` | ||
* ``numpy.bitwise_or`` | ||
* ``numpy.bitwise_not`` | ||
* ``numpy.bitwise_xor`` | ||
* ``numpy.invert`` | ||
* ``numpy.left_shift`` | ||
* ``numpy.right_shift`` |
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Add support for the latest CUDA driver codes. | ||
============================================= | ||
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Support is added for the latest set of CUDA driver codes. |
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``@vectorize`` accommodates arguments implementing ``__array_ufunc__``. | ||
======================================================================= | ||
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Universal functions (``ufunc``s) created with ``numba.vectorize`` will now | ||
respect arguments implementing ``__array_ufunc__`` (NEP-13) to allow pre- and | ||
post-processing of arguments and return values when the ufunc is called from the | ||
interpreter. |
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Add debuginfo support to nvdisasm output. | ||
========================================= | ||
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Support is added for debuginfo (source line and inlining information) in | ||
functions that make calls through ``nvdisasm``. For example the CUDA dispatcher | ||
``.inspect_sass`` method output is now augmented with this information. |