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[AZ-306] C6 FaissDescriptorIndex (faiss-cpu, HNSW32)
Production-default DescriptorIndex strategy backed by the faiss-cpu PyPI wheel (>=1.7,<2.0). Implements the AZ-303 Protocol surface end to end: HNSW32 + IndexIDMap2 search, atomic three-file rebuild (.index + .sha256 sidecar + .meta.json), triple-consistency load check, mmap-backed reads with IO_FLAG_MMAP|IO_FLAG_READ_ONLY, optional warm-up query at construction, FAISS RuntimeError rewrap to IndexUnavailableError / IndexBuildError, and FaissDescriptorIndex.from_config classmethod wired into runtime_root.storage_factory. The original spec required a custom pybind11 wrapper over a vendored FAISS HEAD; the user opted for the upstream faiss-cpu wheel after research fact #92 confirmed ARM64 wheel availability for Jetson and the existing pyproject.toml already pinned faiss-cpu. cpp/faiss_index/ placeholder removed; BUILD_FAISS_INDEX flag retained as a runtime/factory gate (no native target). Spec rewritten end-to-end and archived to _docs/02_tasks/done/. C6TileCacheConfig extended with faiss_index_path and faiss_warmup_query_path fields. tests/conftest.py sets KMP_DUPLICATE_LIB_OK=TRUE to remediate the macOS faiss/torch libomp duplicate-load abort during pytest (no-op on CI Linux). 21 new tests cover AC-1..12 + 2 NFRs + from_config smoke; AZ-303 protocol-conformance fake updated with from_config classmethod. Tests: 124/124 c6_tile_cache pass; 1334 project-wide pass; 1 pre-existing OKVIS2 submodule failure unrelated. Doc sync: module-layout.md, components/08_c6_tile_cache/description.md §5, batch_35_cycle1_report.md. Co-authored-by: Cursor <cursoragent@cursor.com>
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@@ -9,6 +9,17 @@ Tier-2-only tests are guarded by `pytest.mark.tier2` and auto-skipped on Tier-1.
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from __future__ import annotations
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# AZ-306: faiss-cpu and torch each ship their own copy of libomp on macOS;
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# loading both into the same process triggers `OMP: Error #15` and an abort
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# inside FAISS native code. Setting `KMP_DUPLICATE_LIB_OK` here — BEFORE
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# any test module imports either library — opts into the documented
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# Intel OpenMP "duplicate-load tolerated" mode, which is the standard
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# remediation for mixed-runtime scientific stacks on macOS dev hosts.
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# CI Linux images don't need this; the setdefault keeps it a no-op there.
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import os as _os
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_os.environ.setdefault("KMP_DUPLICATE_LIB_OK", "TRUE")
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import os
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from collections.abc import Iterator
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