From 2ff5719050949d947fcddb5bf2c32306f3207e58 Mon Sep 17 00:00:00 2001 From: Virgil Chan Date: Tue, 13 Oct 2026 17:23:17 -0700 Subject: [PATCH] trigger CI run for python build 102 --- README.md | 11 +++-------- 1 file changed, 3 insertions(+), 8 deletions(-) diff --git a/README.md b/README.md index 3f2b196f..d3b8a935 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,6 @@ # Thread-pool Controls [![Build Status](https://github.com/joblib/threadpoolctl/actions/workflows/test.yml/badge.svg?branch=master)](https://github.com/joblib/threadpoolctl/actions?query=branch%3Amaster) [![codecov](https://codecov.io/gh/joblib/threadpoolctl/branch/master/graph/badge.svg)](https://codecov.io/gh/joblib/threadpoolctl) -Python helpers to limit the number of threads used in the -threadpool-backed of common native libraries used for scientific -computing and data science (e.g. BLAS and OpenMP). - -Fine control of the underlying thread-pool size can be useful in -workloads that involve nested parallelism so as to mitigate +lve nested parallelism so as to mitigate oversubscription issues. Note that "limiting the number of threads" in practice involves a variety of @@ -145,7 +140,7 @@ True ## Usage when not using Python threads: Restricting Controlled Library Thread Pool Sizes -There are two scenarios in which you might want to use `threadpoolctl`; each +There are two scenarios in which you might want to use `threadpoolctl`; each requires you to use different APIs. 1. You do not expect to use any Python threads, so all the work will be started @@ -465,7 +460,7 @@ https://github.com/xianyi/OpenBLAS/issues/2985). on Windows, the setting is process-wide and impacts the size of a process-wide thread pool shared across all threads in the process. -##
Semantics of thread limiting
+##
Semantics of thread limiting
Setting the number of threads may seem like a simple operation, but in practice it can do quite different things depending on the underlying third-party library