87 lines
3.9 KiB
Go
87 lines
3.9 KiB
Go
package text
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import (
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"strings"
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"unicode"
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)
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// runes.go: the rune/word primitives shared by the matchers that run over already-normalized
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// text — the memory bank's whole-word post-check, the miner's containment/prefix tests and the
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// cheap style checkers' word scans. They are deliberately allocation-free and script-agnostic;
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// script-specific policy stays in its subsystem.
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// RunesEqual reports whether two rune slices of the SAME LENGTH hold the same runes.
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// PRECONDITION: len(a) <= len(b) — the loop ranges over a and indexes b, so a shorter b
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// panics. Every caller slices both sides to one length before calling (a fixed-width window
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// scan), which is why the check is not repeated here: it is a hot inner loop of the
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// post-check and of the miner's O(n·m) containment scan.
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func RunesEqual(a, b []rune) bool {
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for i := range a {
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if a[i] != b[i] {
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return false
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}
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}
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return true
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}
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// TokenizeScript lower-cases text and splits it into maximal runs of letters in the given script `ws`
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// (a Unicode range), dropping everything else (spaces, punctuation, digits, other scripts). A COMBINING
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// MARK (unicode.Mn) inside a run does NOT break it and is dropped from the token, so a stress-accented word
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// «сло́во» (о + U+0301) tokenizes as ONE word «слово», not «сло»+«во» (a leaked stress accent no longer
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// splits a target word — pack-21 #11). It is the word unit of the →target lexical checkers: they compare
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// whole words against a word list, so a run that stops at any non-word-script rune is exactly the boundary
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// those checks need. The word SCRIPT is the target's declared alphabet (data), so the tokenizer is target-
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// general; the ё/е distinction the yofication check measures is preserved (ё is a Cyrillic letter).
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func TokenizeScript(text string, ws *unicode.RangeTable) []string {
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var words []string
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var b strings.Builder
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flush := func() {
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if b.Len() > 0 {
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words = append(words, b.String())
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b.Reset()
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}
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}
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for _, r := range strings.ToLower(text) {
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switch {
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case unicode.Is(ws, r):
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b.WriteRune(r)
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case b.Len() > 0 && unicode.Is(unicode.Mn, r):
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// a combining mark sits ON the preceding word-script base: keep the run open and drop the mark.
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default:
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flush()
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}
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}
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flush()
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return words
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}
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// TokenizeCyrillic is the ru-default word tokenizer (script = unicode.Cyrillic). The target-general pipeline
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// path tokenizes on the target's DECLARED word script (Checkers.tokenizeWords); this wrapper serves callers
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// that are unconditionally Russian (unit tests, ad-hoc tooling).
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func TokenizeCyrillic(text string) []string { return TokenizeScript(text, unicode.Cyrillic) }
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// DenseScript reports whether r is a "dense" writing-system rune — a CJK ideograph, kana or Hangul syllable
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// that maps to roughly ONE model token per character, versus an alphabetic script (~⅓ token/char). It is the
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// SINGLE home of the token-sizing script class that render.EstimateTokens, chunk.TokenClassCounts and the
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// memory-bank glossary budget all read, so the sizing taxonomy can never byte-drift across the packages
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// (D39.60 §3.3 C-1: the same class was inlined in five places).
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func DenseScript(r rune) bool {
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return unicode.In(r, unicode.Han, unicode.Hiragana, unicode.Katakana, unicode.Hangul)
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}
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// DenseSparseCounts splits s into (dense, sparse) rune counts for the token estimate: dense = DenseScript
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// runes (~1 token each), sparse = other letters/digits/punctuation (~⅓ token each); whitespace folds into
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// neighbours and counts as neither. The shared classifier behind the reservation-sizing estimate AND the
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// glossary-line budget — one taxonomy, so the "second copy of the arithmetic" can never diverge from the first.
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func DenseSparseCounts(s string) (dense, sparse int) {
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for _, r := range s {
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switch {
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case DenseScript(r):
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dense++
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case unicode.IsSpace(r):
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default:
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sparse++
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}
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}
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return dense, sparse
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}
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