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ci: add spell checking (#4148)

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Adds [typos](https://github.com/crate-ci/typos) as a CI check and
pre-commit hook, the same way Lance does it, so misspellings like the
ones fixed in #4146 get caught automatically going forward.

This also fixes the misspellings `typos` found across the repo (Rust,
Python, TypeScript source, comments, and generated docs), and adds a
small `.typos.toml` with `extend-words` entries for terms that are
correct but look like typos: `AKS` (Azure Kubernetes Service), `RabitQ`
(a real quantization algorithm name), `mmaped` (the actual name of a
`candle-core` API we call), and `Writeable` (from Python's
`_typeshed.WriteableBuffer`). Third-party license files are excluded.

Fixes #4147

Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
Will Jones
2026-09-09 15:33:04 +08:00
committed by GitHub
co-authored by Claude Sonnet 5
parent 577fb48376
commit 1da5876870
32 changed files with 104 additions and 51 deletions
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docs/src/js/interfaces/HnswPqOptions.md
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@@ -118,7 +118,7 @@ Number of sub-vectors of PQ.
This value controls how much the vector is compressed during the quantization step.
The more sub vectors there are the less the vector is compressed. The default is
the dimension of the vector divided by 16. If the dimension is not evenly divisible
by 16 we use the dimension divded by 8.
by 16 we use the dimension divided by 8.
The above two cases are highly preferred. Having 8 or 16 values per subvector allows
us to use efficient SIMD instructions.
docs/src/js/interfaces/IndexOptions.md
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@@ -16,7 +16,7 @@ optional config: Index;
Advanced index configuration
This option allows you to specify a specfic index to create and also
This option allows you to specify a specific index to create and also
allows you to pass in configuration for training the index.
See the static methods on Index for details on the various index types.
docs/src/js/interfaces/IvfPqOptions.md
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@@ -112,7 +112,7 @@ Number of sub-vectors of PQ.
This value controls how much the vector is compressed during the quantization step.
The more sub vectors there are the less the vector is compressed. The default is
the dimension of the vector divided by 16. If the dimension is not evenly divisible
by 16 we use the dimension divded by 8.
by 16 we use the dimension divided by 8.
The above two cases are highly preferred. Having 8 or 16 values per subvector allows
us to use efficient SIMD instructions.