chore: enrich PyPI metadata (keywords, classifiers, project urls)#216
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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…ead-local test - annotate stack as list[AbstractProvider[Any]] so .extend(provider._children) (a set[AbstractProvider[Any]]) type-checks under pyrefly - test_thread_local_singleton_different_threads used random.randint(1,100) as the factory, so two of ten threads could draw the same value and fail spuriously; use threading.get_ident (unique per thread) and assert all results are distinct Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
threading.get_ident is unreliable as the factory: thread ids are recycled once a thread exits, so on a fast runner where the 10 threads run near-sequentially every thread observes the same recycled id and set(results) collapses to 1. Use an atomic itertools.count so each per-thread factory call yields a distinct value regardless of scheduling. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Co-Authored-By: Claude Opus 4.8 (1M context) noreply@anthropic.com