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Implement automatic zarr format detection (v2 vs v3) in the tensorstore backend. The backend now correctly handles both zarr v2 and v3 stores by: - Detecting zarr format using detect_zarr_format() utility - Setting appropriate FileType (OmeZarrV2 or OmeZarrV3) for TSReader/TSWriter - Using format-specific child enumeration: * v2: filesystem fallback (_list_zarr_children) for reliability * v3: native zarr-python array_keys()/group_keys() methods - Parsing metadata from both v2 (attrs["multiscales"]) and v3 (attrs["ome"]["multiscales"]) locations per NGFF 0.5 spec Writer maintains backward compatibility by defaulting to v2 format. Added comprehensive test coverage: - test_read_zarr_v3: Basic v3 zarr reading with tensorstore backend - test_read_zarr_v3_multi_resolution: Multi-resolution v3 zarr support - Added ExpD_chicken_embryo_MIP.ome.zarr (v3) to test dataset Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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