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1 | 1 | ========================= |
2 | | -Announcing NumExpr 2.10.1 |
| 2 | +Announcing NumExpr 2.10.2 |
3 | 3 | ========================= |
4 | 4 |
|
5 | 5 | Hi everyone, |
6 | 6 |
|
7 | | -NumExpr 2.10.1 continues to stabilize the support for NumPy 2.0.0. |
8 | | -Also, the default number of 'safe' threads has been upgraded to 16 |
9 | | -(instead of previous 8). Finally, preliminary support for Python 3.13; |
10 | | -thanks to Karolina Surma. |
| 7 | +NumExpr 2.10.2 provides wheels for Python 2.13 for first time. |
| 8 | +Also, there is better support for CPUs that do not have a power |
| 9 | +of 2 number of cores. Finally, numexpr is allowed to run with |
| 10 | +the multithreading package in Python. |
11 | 11 |
|
12 | 12 | Project documentation is available at: |
13 | 13 |
|
14 | 14 | http://numexpr.readthedocs.io/ |
15 | 15 |
|
16 | | -Changes from 2.10.0 to 2.10.1 |
| 16 | +Changes from 2.10.1 to 2.10.2 |
17 | 17 | ----------------------------- |
18 | 18 |
|
19 | | -* The default number of 'safe' threads has been upgraded to 16 (instead of |
20 | | - previous 8). That means that if your CPU has > 16 cores, the default is |
21 | | - to use 16. You can always override this with the "NUMEXPR_MAX_THREADS" |
22 | | - environment variable. |
| 19 | +* Better support for CPUs that do not have a power of 2 number of |
| 20 | + cores. See #479 and #490. Thanks to @avalentino. |
23 | 21 |
|
24 | | -* NumPy 1.23 is now the minimum supported. |
| 22 | +* Allow numexpr to run with the multithreading package in Python. |
| 23 | + See PR #496. Thanks to @emmaai |
25 | 24 |
|
26 | | -* Preliminary support for Python 3.13. Thanks to Karolina Surma. |
27 | | - |
28 | | -* Fix tests on nthreads detection (closes: #479). Thanks to @avalentino. |
29 | | - |
30 | | -* The build process has been modernized and now uses the `pyproject.toml` |
31 | | - file for more of the configuration options. |
| 25 | +* Wheels for Python 3.13 are now provided. |
32 | 26 |
|
33 | 27 | What's Numexpr? |
34 | 28 | --------------- |
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