chore(deps): bump threadpoolctl from 3.6.0 to 3.7.0

[dependabot]

Bumps threadpoolctl from 3.6.0 to 3.7.0.

Changelog

Sourced from threadpoolctl's changelog.

3.7.0 (2026-09-15)

• Fixed an intermittent OSError on Windows when DLLs are loaded or unloaded concurrently during library discovery (for example when importing conda-forge OpenCV). On Python 3.14+, discovery uses ctypes.util.dllist when available. If dllist raises OSError, threadpoolctl emits a RuntimeWarning instead of crashing so the failure can be reported upstream with a minimal reproducer. Older Pythons use a Toolhelp snapshot enumerator, with graceful per-module fallbacks. joblib/threadpoolctl#219

• Added the ability to check whether a limiting API affects just the current thread or the whole process. Mainly aimed at debugging and diagnostics, and somewhat unreliable, it is therefore enabled by default only for command-line usage. joblib/threadpoolctl#213

• Only warn about simultaneous libomp and libiomp usage on Linux, where the incompatibility is known to cause crashes. joblib/threadpoolctl#222

• Fixed a deadlock triggered by getting or setting MKL's number of threads from parallel threads when using MKL with libiomp (Intel threading) on Linux. joblib/threadpoolctl#228

• Going forward, setting the number of threads will only have a thread-local impact if feasible (for example, at minimum the underlying library must support this option, and many don't.) joblib/threadpoolctl#228

• For MKL, setting the number of threads is now thread-local, i.e. limiting the number of threads won't impact MKL's thread pool size when using MKL in other Python threads. joblib/threadpoolctl#228

• For OpenBLAS compiled with OpenMP on Linux and macOS, setting the number of threads is now thread-local, i.e. won't impact OpenBLAS thread pool size in other Python threads. On Windows behavior is likely process-wide, but this may depend on how OpenBLAS was compiled with OpenMP. joblib/threadpoolctl#228

• Fix OpenBLAS detection for conda package on Windows joblib/threadpoolctl#240

• Fixed a deadlock on Linux when using threadpoolctl from multiple threads. joblib/threadpoolctl#243

  • Start using Python 3.14's built-in support for listing shared libraries.

... (truncated)

Commits

• 75e1860 Release 3.7.0 (#247)
• 473f239 Display debugging info in CI inspection script (#245)
• 318125e Avoid ctypes callbacks when listing libraries on Linux. (#242)
• f05893f FIX intermittent Windows module enumeration failure (#219)
• c686683 Fix threading-related deadlocks, and also add support for Python's built-in l...
• ba03124 FIX Fix OpenBLAS detection for conda package on Windows (#240)
• 9ac1881 MNT Add faulthandler to empirical observation (#241)
• 1ac9590 Document using limiting APIs for Python thread pools (#234)
• bcbee28 Add missing PR to changelog
• 261389f CI Fix compilation issue with OpenMP inside conda env (#237)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot show <dependency name> ignore conditions will show all of the ignore conditions of the specified dependency
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

[dependabot]

Looks like threadpoolctl is up-to-date now, so this is no longer needed.