Optimisation - #3
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* `str2bool()` and `string_is_truthy()` now classify stock terms via `_TRUTHY_STRINGS` and a module-built `_TRUTHY_TABLE` keyed by `(length, first_char)` (cf. **to-be.Rust** first-letter dispatch); always strips before lookup; strong on padded stock terms and unrecognised inputs (benchmarked);
* retained one-sided `string_is_falsey()` and `string_is_truey()` paths (`_str_is_falsey`, `_str_is_truey`) with opposite-precise fast-fail and conditional `strip().lower()` (cf. **to-be.Rust**); `constants.py` precise/lowercase tuples remain for these paths until a later elision pass;
* added docstrings to `str2bool()`, `string_is_falsey()`, `string_is_truey()`, and `string_is_truthy()`;
* measured and ruled out for stock vocabulary at current table sizes: merged precise-table linear scan, `bisect` lookup, state-machine parsers, and conditional-trim fast paths (see **README** benchmarks section);
synesissoftware
approved these changes
Jul 2, 2026
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