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Post 2.10.1 release actions done
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FrancescAlted committed Jun 20, 2024
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23 changes: 14 additions & 9 deletions ANNOUNCE.rst
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Expand Up @@ -4,7 +4,7 @@ Announcing NumExpr 2.10.1

Hi everyone,

NumExpr 2.10.1 continues to establize the support for NumPy 2.0.0.
NumExpr 2.10.1 continues to stabilize the support for NumPy 2.0.0.
Also, the default number of 'safe' threads has been upgraded to 16
(instead of previous 8). Finally, preliminary support for Python 3.13;
thanks to Karolina Surma.
Expand All @@ -13,17 +13,22 @@ Project documentation is available at:

http://numexpr.readthedocs.io/

Changes from 2.9.0 to 2.10.0
----------------------------
Changes from 2.10.0 to 2.10.1
-----------------------------

* Support for NumPy 2.0.0. This is still experimental, so please
report any issues you find. Thanks to Clément Robert and Thomas
Caswell for the work.
* The default number of 'safe' threads has been upgraded to 16 (instead of
previous 8). That means that if your CPU has > 16 cores, the default is
to use 16. You can always override this with the "NUMEXPR_MAX_THREADS"
environment variable.

* Avoid erroring when OMP_NUM_THREADS is empty string. Thanks to
Patrick Hoefler.
* NumPy 1.23 is now the minimum supported.

* Do not warn if OMP_NUM_THREAD set.
* Preliminary support for Python 3.13. Thanks to Karolina Surma.

* Fix tests on nthreads detection (closes: #479). Thanks to @avalentino.

* The build process has been modernized and now uses the `pyproject.toml`
file for more of the configuration options.

What's Numexpr?
---------------
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15 changes: 10 additions & 5 deletions RELEASE_NOTES.rst
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Expand Up @@ -2,21 +2,26 @@
Release notes for NumExpr 2.10 series
=====================================

Changes from 2.10.1 to 2.10.2
-----------------------------

* **Under development.**

Changes from 2.10.0 to 2.10.1
-----------------------------

- The default number of 'safe' threads has been upgraded to 16 (instead of
* The default number of 'safe' threads has been upgraded to 16 (instead of
previous 8). That means that if your CPU has > 16 cores, the default is
to use 16. You can always override this with the "NUMEXPR_MAX_THREADS"
environment variable.

- NumPy 1.23 is now the minimum supported.
* NumPy 1.23 is now the minimum supported.

- Preliminary support for Python 3.13. Thanks to Karolina Surma.
* Preliminary support for Python 3.13. Thanks to Karolina Surma.

- Fix tests on nthreads detection (closes: #479). Thanks to @avalentino.
* Fix tests on nthreads detection (closes: #479). Thanks to @avalentino.

- The build process has been modernized and now uses the `pyproject.toml`
* The build process has been modernized and now uses the `pyproject.toml`
file for more of the configuration options.


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2 changes: 1 addition & 1 deletion VERSION
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@@ -1 +1 @@
2.10.1
2.10.2.dev0

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