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Assisted-by: Codex:GPT-6
Assisted-by: Codex:GPT-6
Assisted-by: Codex:GPT-6
Correct mathematical API documentation to match supported coordinate, grid, and chunk projection contracts. Assisted-by: Codex:GPT-6
Assisted-by: Codex:GPT-6
Retain the existing unsigned selector fix and update the unsupported mixed-dependency error assertion for general intersection routing. Assisted-by: Codex:GPT-6
…oundaries Assisted-by: Codex:GPT-6
Use lexicographic tuple grouping when chunk indices contain negative values. Cover shared one-axis and two-axis array dependencies, repeated points, and extreme signed coordinates. Assisted-by: Codex:GPT-6
Assisted-by: Codex:GPT-6
This was referenced Sep 13, 2026
Assisted-by: Codex:GPT-6
Remove implementation history and unsupported historical claims from source and test docstrings. Distinguish immutable coordinate mappings from mutable source values. Assisted-by: Codex:GPT-6
* fix: complete imagecodecs codec package hints Assisted-by: Codex:GPT-6 * docs: associate codec changelog with PR 338 Assisted-by: Codex:GPT-6 * docs: associate codec changelog with upstream PR 4351 Assisted-by: Codex:GPT-6
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🤖 AI text below 🤖 The agent closed this draft as superseded: its head is byte-identical under |
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🤖 AI text below 🤖
Correct factual claims in zarr-indexing's documentation, source comments, examples, and testing contracts, and fix the correctness defects exposed while checking those claims.
Runtime changes:
intpbefore NumPy can coerce or wrap them.NotImplementedError, consistent with its general classification.(-1, 0)and(0, -1)must remain separate.Expand regression coverage across integer widths, indexing modes, origins, normalization boundaries, map order, negative chunk IDs, repeated points, and one-/two-axis dependencies. Keep main's existing unsigned-selector fix.
The documentation now distinguishes structural box classification from density/order, actual NumPy compatibility from tested examples, metadata inspection from tokenization reads, and parent partition context from direct part resolution. It also corrects TensorStore wire/partition comparisons, cache and benchmark claims, and source integration descriptions. Finite
index_array_boundsremain unenforced during engine loading and are explicitly documented as a limitation.Validation against fork main
ba883a556: