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Add GC benchmarks and Python implementation filtering - #496
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This was referenced Oct 22, 2026
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This adds seven benchmarks for GC paths that are not well covered by the existing suite:
gc_collect_largeuses 10,000 independent cycles, whilegc_collect_self_listsuses a minimal synthetic graph to expose per-object collection overhead.gc_weakref_recheck,gc_resurrection_partial, andgc_resurrection_fullcover rechecks after a weakref callback, partial resurrection, and full resurrection.btree_gc_only_frozencovers full collection with a frozen startup heap.gc_tuple_survivorstimes collection of fresh retained tuples containing onlyNone.The new
python_implementationsmetadata lets benchmarks declare which Python implementations they support. Selection checks the version and implementation of the target interpreter. Benchmarks that do not support the target implementation are reported and skipped. The frozen and resurrection cases are CPython-only; the large-collection and tuple cases also support PyPy.Related to python/cpython#159437.