Document the upgrade to 16 threads as the new 'safe' default

pydata · May 31, 2024 · 9c8ec78 · 9c8ec78
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diff --git a/RELEASE_NOTES.rst b/RELEASE_NOTES.rst
@@ -5,7 +5,10 @@ Release notes for NumExpr 2.10 series
 Changes from 2.10.0 to 2.10.1
 -----------------------------
 
-* **Under development.**
+- 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.
 
 Changes from 2.9.0 to 2.10.0
 ----------------------------

diff --git a/numexpr/tests/test_numexpr.py b/numexpr/tests/test_numexpr.py
@@ -41,7 +41,7 @@
 
 double = np.double
 long = int
-MAX_THREADS = 8
+MAX_THREADS = 16
 
 
 class test_numexpr(TestCase):