647 lines
26 KiB
Go
647 lines
26 KiB
Go
package pipeline
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import (
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"fmt"
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"sort"
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"strings"
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"unicode"
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)
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// cheapgates.go: four cheap, deterministic post-check flaggers on the FINAL chunk text (04-unhappy
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// §6/§9, план v3). They are OBSERVABILITY, never hard gates (like the glossary post-check's default
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// flagger mode): a hit is recorded in the retrieval-state and surfaced in the report / chapter
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// passport, but it never changes a chunk disposition or costs an LLM call. All four are pure and
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// deterministic (no time/rand, sorted detail) so a resume re-derives identical counts.
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//
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// 1. dialogue-dash linter (Rosenthal §47–52): direct speech marked with straight quotes or a
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// hyphen/en-dash instead of the em-dash on a new line, or a chunk mixing the two styles.
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// 2. yofikator: inconsistent ё — the SAME word spelled both with ё and with е (Пётр/Петр), or a
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// brief ё-policy (all-ё / all-е) violated.
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// 3. translit-interjection blocklist: untranslated JP/EN fillers («ара-ара», «маа», «хмф»,
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// «нани», «ауч», «упс») left in the Russian output (04-unhappy §9); per-project allowlist.
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// 4. 万/億 magnitude gate: a CJK myriad/hundred-million magnitude in the source whose order is not
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// represented on the Russian side (三万 → «три миллиона» is a 100× error, 04-unhappy §9).
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//
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// FALSE POSITIVES are the main risk (quotations, stylization, homographs), so each rule is tuned
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// for PRECISION over recall: it fires only on a high-confidence signal and stays silent on the
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// ambiguous middle. The unit tests assert both firing AND non-firing.
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// cheapGateVersion versions the rules above. It is folded into the job snapshot (like
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// classifierVersion): editing any rule is a loud --resnapshot, so the reported style-flag counts
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// never shift silently between runs under the same snapshot. [D15.2 note: this is a VERDICT
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// version — once content-addressed resume lands it moves to verdictSnapshotID and a rule edit
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// re-classifies free instead of re-paying the book.]
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//
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// v2 (D20.4, пакет №3) closes three adversarial-review false positives, so the bump is LOUD by
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// design (counts shift): (1) a chevron CITATION at line start no longer counts as dialogue-style
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// mixing — only the «…», — attribution shape does; (2) a source 万/億 magnitude is no longer
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// false-flagged against a STRAY output integer (a year, a count) — only a mismatching magnitude
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// WORD triggers, bare integers can merely confirm; (3) same mechanism covers a 万-in-a-name +
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// unrelated output number. No live book has run under v1 (D18 acceptance pending), so the re-pin is free.
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//
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// v3 (WS5, R4) adds the defect-class checkers DC1 (时辰 double-hour units), DC2 (千万/数十万 magnitude
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// scale) and DC6 (register negative-list — the zh-ru pack, checkers_zh_ru.go). They are observability
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// (never a disposition), tuned precision-over-recall; the bump is a loud --resnapshot as the discipline
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// requires (a rule/pack edit shifts recorded counts). They fire 0 on a non-zh source / non-register text.
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// Ш-2 (see memnorm.go): the cheap style/DC checkers classify via unicode predicates + NFC folding, so a
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// toolchain Unicode bump that shifts a class is a loud --resnapshot rather than a silent count change.
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const cheapGateVersion = "cheapgate-v3-dc-checkers+u" + unicode.Version
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// cheapGateConfig carries the brief-derived knobs: the ё-policy and the per-project allowlist of
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// surfaces that look like a blocklisted interjection but are legitimate here (e.g. a character
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// named «Ара»). Both come from book.yaml.
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type cheapGateConfig struct {
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yoPolicy string // "auto" (inconsistency only) | "all-yo" | "all-e"
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allowlist map[string]bool // lower-cased surfaces exempt from the interjection blocklist
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// regressionEnabled turns on the post-reflow regression guard (D38, regressionguard.go): an
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// OPT-IN observability flagger (draft→final length collapse + number drift) folded into this
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// result. Off → the two regression fields stay 0 and the output is byte-identical to before.
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regressionEnabled bool
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}
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// cheapGateResult is the per-chunk outcome: a count per flagger plus human-readable detail lines
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// (deterministic order) for the report. total() is what the passport surfaces.
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type cheapGateResult struct {
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DialogueDash int `json:"dialogue_dash,omitempty"`
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YoInconsistent int `json:"yo,omitempty"`
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TranslitInterj int `json:"translit_interj,omitempty"`
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NumberMagnitude int `json:"number_magnitude,omitempty"`
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// LengthCollapse / NumberDrift are the opt-in post-reflow regression guard (D38,
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// regressionguard.go), folded into this observability result. They stay 0 unless
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// cfg.regressionEnabled, so a book that does not enable the guard serialises identically.
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LengthCollapse int `json:"length_collapse,omitempty"`
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NumberDrift int `json:"number_drift,omitempty"`
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// DC1TimeUnits / DC2Magnitude / DC6Register are the WS5 defect-class checkers (checkers_zh_ru.go),
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// observability like the others. Zero on a non-zh source / non-register final (the golden fixture).
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DC1TimeUnits int `json:"dc1_time_units,omitempty"`
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DC2Magnitude int `json:"dc2_magnitude,omitempty"`
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DC6Register int `json:"dc6_register,omitempty"`
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Detail []string `json:"detail,omitempty"`
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}
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func (c cheapGateResult) total() int {
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return c.DialogueDash + c.YoInconsistent + c.TranslitInterj + c.NumberMagnitude + c.LengthCollapse + c.NumberDrift +
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c.DC1TimeUnits + c.DC2Magnitude + c.DC6Register
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}
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// runCheapGates runs the four always-on style flaggers over one chunk's source and FINAL text, plus
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// (opt-in) the draft→final regression guard. `draft` is the first-stage translator output (== final
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// when there is no distinct reflow stage, so the guard then trivially never fires).
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func runCheapGates(source, draft, final string, cfg cheapGateConfig) cheapGateResult {
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var r cheapGateResult
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n, det := lintDialogueDash(final)
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r.DialogueDash, r.Detail = n, append(r.Detail, det...)
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n, det = lintYofikation(final, cfg.yoPolicy)
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r.YoInconsistent = n
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r.Detail = append(r.Detail, det...)
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n, det = lintTranslitInterjections(final, cfg.allowlist)
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r.TranslitInterj = n
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r.Detail = append(r.Detail, det...)
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n, det = lintNumberMagnitude(source, final)
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r.NumberMagnitude = n
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r.Detail = append(r.Detail, det...)
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// WS5 defect-class checkers (DC1/DC2/DC6, checkers_zh_ru.go) — src↔target observability flaggers.
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n, det = lintTimeUnits(source, final)
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r.DC1TimeUnits = n
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r.Detail = append(r.Detail, det...)
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n, det = lintMagnitudeScale(source, final)
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r.DC2Magnitude = n
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r.Detail = append(r.Detail, det...)
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n, det = lintRegisterLexicon(final)
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r.DC6Register = n
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r.Detail = append(r.Detail, det...)
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if cfg.regressionEnabled {
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rg := runRegressionGuard(draft, final)
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r.LengthCollapse = rg.LengthCollapse
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r.NumberDrift = rg.NumberDrift
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r.Detail = append(r.Detail, rg.Detail...)
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}
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return r
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}
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// --- 1. dialogue-dash linter ----------------------------------------------------
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// lintDialogueDash flags direct-speech lines opened with the wrong marker. Russian direct speech
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// takes an EM-dash «—» at the line start; MTL output leaves a straight ASCII quote or a plain
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// hyphen/en-dash. It fires per offending line, and additionally when a chunk MIXES em-dash speech
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// with chevron-quote «…» speech (a within-chapter style clash). Precision guards: a hyphen only
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// counts as a mis-set dash when followed by a space and a letter (so a hyphenated word wrap or a
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// «- 1» list item does not fire); chevron lines count only under mixing (a chunk that uses «…» for
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// speech throughout may be a deliberate style, but mixing it with dashes is an inconsistency).
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func lintDialogueDash(text string) (int, []string) {
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var emDash, hyphenLike, chevronSpeech int
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var detail []string
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for _, line := range strings.Split(text, "\n") {
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t := strings.TrimLeft(line, " \t ")
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rs := []rune(t)
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if len(rs) == 0 {
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continue
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}
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switch rs[0] {
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case '—': // em-dash: the correct Russian dialogue marker — count only true speech shape
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if dialogueShape(rs[1:]) { // «— 15 минут спустя» (dash+space+digit, a scene break) is NOT dialogue (self-review)
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emDash++
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}
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case '"': // straight ASCII quote leading a line → Russian typography never uses these → MTL artifact
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if quoteShape(rs[1:]) {
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detail = append(detail, "прямая речь открыта прямой кавычкой \" вместо тире: "+preview(t))
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hyphenLike++ // counted in the offending total
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}
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case '-', '–': // hyphen / en-dash where an em-dash belongs
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if dialogueShape(rs[1:]) {
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detail = append(detail, "реплика через дефис/короткое тире вместо длинного «—»: "+preview(t))
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hyphenLike++
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}
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case '«': // chevron-led line counts toward mixing ONLY as chevron DIALOGUE (not a citation/title)
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if chevronSpeechShape(rs) { // D20.4 FP: «-цитата в начале строки больше не считается смешением
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chevronSpeech++
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}
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}
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}
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n := hyphenLike
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if emDash > 0 && chevronSpeech > 0 {
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n += chevronSpeech
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detail = append(detail, fmt.Sprintf("смешение стилей прямой речи в чанке: %d реплик через «—» и %d через «…»", emDash, chevronSpeech))
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}
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return n, detail
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}
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// chevronSpeechShape reports whether a chevron-led line is a chevron DIALOGUE turn rather than a
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// citation, title or quoted term (which also open with «). The high-precision signal is the Russian
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// dialogue-attribution join: a closing » directly followed by a comma, then (spaces) an em/en/hyphen
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// dash — «Реплика», — сказал он. A quotation/definition uses «X» — … (a dash WITHOUT the comma) or
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// ends mid-sentence, so it does NOT match, which kills the D20.4 false positive «-цитата с начала
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// строки как «смешение стилей». It deliberately MISSES exclamatory «Реплика!» — and unattributed
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// «Реплика.» chevron dialogue (precision over recall — the gate header's stated bias).
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func chevronSpeechShape(rs []rune) bool {
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i := 1 // rs[0] is '«'
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for i < len(rs) && (rs[i] == ' ' || rs[i] == ' ') {
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i++
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}
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if i >= len(rs) || !unicode.IsLetter(rs[i]) {
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return false // «» empty or «123…» — not spoken content
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}
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for ; i < len(rs); i++ {
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if rs[i] != '»' {
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continue
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}
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j := i + 1
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if j >= len(rs) || rs[j] != ',' { // the attribution comma must sit right after the closing »
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continue
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}
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j++
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for j < len(rs) && (rs[j] == ' ' || rs[j] == ' ') {
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j++
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}
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if j < len(rs) && (rs[j] == '—' || rs[j] == '–' || rs[j] == '-') {
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return true
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}
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}
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return false
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}
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// dialogueShape reports whether the runes after a leading marker look like spoken text: an optional
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// space then a letter. It filters out non-dialogue leading dashes (word wraps, «-1», bare marks).
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func dialogueShape(after []rune) bool {
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i := 0
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for i < len(after) && (after[i] == ' ' || after[i] == ' ') {
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i++
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}
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if i == 0 {
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return false // a marker glued to the next glyph (a hyphenated fragment), not «— реплика»
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}
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return i < len(after) && unicode.IsLetter(after[i])
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}
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// quoteShape reports whether the runes after a leading quote look like spoken text: an OPTIONAL
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// space then a letter («"Привет»). Unlike a dash, a quote sits directly on the first word, so no
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// space is required.
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func quoteShape(after []rune) bool {
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i := 0
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for i < len(after) && (after[i] == ' ' || after[i] == ' ') {
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i++
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}
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return i < len(after) && unicode.IsLetter(after[i])
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}
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// --- 2. yofikator ---------------------------------------------------------------
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// yoHomographEForms are е-spellings that are DISTINCT words from their ё-counterpart (все≠всё,
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// небо≠нёбо, берет≠берёт, осел≠осёл, …). The inconsistency rule below would otherwise false-flag
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// «все»+«всё» as one word spelled two ways. Expanded (self-review major) to cover the frequent
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// distinct-word pairs and their common inflections; still not exhaustive — full disambiguation
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// needs a ё-dictionary (deferred, B-tier). Names — the primary target (Пётр/Петр) — are never
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// homographs, so they are always caught regardless.
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var yoHomographEForms = map[string]bool{
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"все": true, "всех": true, "всем": true, "всеми": true,
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"небо": true, "небом": true,
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"узнаем": true, "узнаете": true, "узнает": true,
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"падеж": true, "падежа": true,
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"совершенный": true, "совершенное": true, "совершенная": true, "совершенно": true, "совершенны": true,
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"чем": true, "тем": true, "тема": true, "теме": true, "темы": true,
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"берет": true, "берете": true, "берета": true,
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"осел": true, "осла": true, "ослы": true, "ослов": true,
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"мел": true, "мела": true,
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"лен": true, "лена": true,
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"нес": true, "несем": true, "несет": true,
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"вел": true, "ведет": true, "ведем": true,
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}
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// lintYofikation flags inconsistent ё. Default ("auto"): the same word appears BOTH with ё and, as
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// a separate token, with its exact ё→е form (Пётр/Петр) — excluding the homograph traps above.
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// Policy "all-e": any ё present is a violation (the project wants no ё). Policy "all-yo": an е-form
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// of a word that ALSO appears somewhere with ё is flagged (the partial-ёфикация case), same signal
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// as auto — full "every word that SHOULD have ё" enforcement needs a ё-dictionary (deferred, B-tier).
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func lintYofikation(text, policy string) (int, []string) {
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words := tokenizeCyrillic(text)
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if policy == "all-e" {
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seen := map[string]bool{}
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var det []string
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n := 0
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for _, w := range words {
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if strings.ContainsRune(w, 'ё') && !seen[w] {
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seen[w] = true
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n++
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det = append(det, "ё при политике all-e: "+w)
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}
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}
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sort.Strings(det)
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return n, det
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}
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// auto / all-yo: detect a word present in BOTH its ё-form and its е-form.
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present := map[string]bool{}
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for _, w := range words {
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present[w] = true
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}
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seenPair := map[string]bool{}
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var det []string
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n := 0
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for _, w := range words {
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if !strings.ContainsRune(w, 'ё') {
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continue
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}
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eForm := strings.ReplaceAll(w, "ё", "е")
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if eForm == w || yoHomographEForms[eForm] {
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continue // no ё, or a distinct-word homograph (все/всё) — not an inconsistency
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}
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if present[eForm] && !seenPair[w] {
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seenPair[w] = true
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n++
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det = append(det, fmt.Sprintf("непоследовательная ё: %q и %q", w, eForm))
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}
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}
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sort.Strings(det)
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return n, det
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}
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// tokenizeCyrillic lower-cases and splits text into Cyrillic word tokens (ё kept distinct from е).
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func tokenizeCyrillic(text string) []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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if unicode.Is(unicode.Cyrillic, r) {
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b.WriteRune(r)
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} else {
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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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// --- 3. translit-interjection blocklist -----------------------------------------
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// translitInterjections is the starter blocklist (04-unhappy §9): JP/EN fillers that must be
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// translated/adapted, not transliterated. Only surfaces that are NOT ordinary Russian words are
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// listed (self-review majors): «ара» (a macaw, also a name) and «уму» (dative of «ум») were removed
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// as high-false-positive collisions; «ара-ара» (the reduplicated JP filler) stays. A residual name
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// collision is handled by the per-project allowlist. Lower-cased.
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//
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// NOTE (D20.4): only the EXACT hyphenated reduplications enumerated here fire. Other reduplicated
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// fillers a translit-leak might emit («уху-уху», «эхе-хе», «ня-ня», «фу-фу») are NOT caught — a
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// generic «X-X»-reduplication rule was rejected as too false-positive-prone (legitimate Russian
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// reduplications: «еле-еле», «чуть-чуть», «крепко-накрепко»). Extend this list per corpus finding
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// rather than by heuristic; the residual leak is an accepted recall gap (precision over recall).
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var translitInterjections = []string{
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"ара-ара", "маа", "хмф", "нани", "ауч", "упс", "кья", "десу",
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}
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// lintTranslitInterjections counts whole-word (letter-bounded, case-insensitive) occurrences of a
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// blocklisted interjection in the output, minus any surface on the per-project allowlist. Whole-word
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// matching keeps «ара» from firing inside «характер»; the allowlist exempts legitimate uses.
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func lintTranslitInterjections(text string, allowlist map[string]bool) (int, []string) {
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low := []rune(strings.ToLower(text))
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counts := map[string]int{}
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for _, interj := range translitInterjections {
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if allowlist[interj] {
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continue
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}
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f := []rune(interj)
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for i := 0; i+len(f) <= len(low); i++ {
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if !runesEqual(low[i:i+len(f)], f) {
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continue
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}
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if (i == 0 || !isWordRune(low[i-1])) && (i+len(f) == len(low) || !isWordRune(low[i+len(f)])) {
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counts[interj]++
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}
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}
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}
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n := 0
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surfaces := make([]string, 0, len(counts))
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for k, c := range counts {
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n += c
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surfaces = append(surfaces, k)
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}
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sort.Strings(surfaces)
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var det []string
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for _, s := range surfaces {
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det = append(det, fmt.Sprintf("непереведённое междометие %q ×%d", s, counts[s]))
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}
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return n, det
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}
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// isWordRune reports whether r is part of a word for boundary checks (letter or a hyphen inside a
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// compound interjection like «ара-ара»). The hyphen inclusion means «ара-ара» matches as one unit
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// and its inner «ара» does not double-count against a hyphen boundary.
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func isWordRune(r rune) bool {
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return unicode.IsLetter(r) || r == '-'
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}
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// --- 4. 万/億 magnitude gate -----------------------------------------------------
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// lintNumberMagnitude flags a source CJK myriad/hundred-million magnitude whose ORDER of magnitude
|
||
// is not represented on the Russian side (04-unhappy §9: 三万 → «три миллиона» is a 100× error). It
|
||
// parses each CJK numeral RUN that carries a big marker (万/萬/億/亿/兆) into an order of magnitude,
|
||
// then checks the output's magnitude coverage (Russian magnitude words expanded to a [base,base+2]
|
||
// range for their possible multiplier, plus Arabic-number orders). It fires only when the source's
|
||
// TOP order is outside every output range — a conservative, multiplier-tolerant signal that leaves
|
||
// 三億→«триста миллионов» (8 within миллион's [6,8]) silent while catching 三万→«три миллиона».
|
||
func lintNumberMagnitude(source, final string) (int, []string) {
|
||
srcOrders := cjkMagnitudeOrders(source)
|
||
if len(srcOrders) == 0 {
|
||
return 0, nil
|
||
}
|
||
maxSrc := 0
|
||
for _, o := range srcOrders {
|
||
if o > maxSrc {
|
||
maxSrc = o
|
||
}
|
||
}
|
||
if maxSrc < 4 { // only gate on 万+ magnitudes (the 万/億 concern)
|
||
return 0, nil
|
||
}
|
||
// A bare output integer (a year, a count, a page number) may CONFIRM the magnitude but must never
|
||
// TRIGGER a flag: an unrelated number of a different order is not evidence the 万/億 was
|
||
// mistranslated (D20.4 FPs: «万 в составе имени + постороннее число в выводе», «перефраз магнитуды +
|
||
// год»). So an Arabic figure of the RIGHT order suppresses; a mismatching one is ignored.
|
||
for _, o := range arabicNumberOrders(final) {
|
||
if o == maxSrc {
|
||
return 0, nil // an Arabic figure of the source order confirms coverage (30000 for 三万)
|
||
}
|
||
}
|
||
wordRanges := magnitudeWordRanges(final)
|
||
for _, rg := range wordRanges {
|
||
if maxSrc >= rg[0] && maxSrc <= rg[1] {
|
||
return 0, nil // a magnitude WORD covers the source order (三万 → «тридцать тысяч»)
|
||
}
|
||
}
|
||
// Only a mismatching magnitude WORD is evidence of a разряд error (三万 → «три миллиона»). Absent
|
||
// any magnitude word, stay silent: the magnitude was rephrased as prose, or the number in the
|
||
// output is unrelated (the two D20.4 FPs above). Accepted recall cost: a dropped-magnitude error
|
||
// rendered as a BARE integer of a smaller order (三万 → «300») is now also silent — indistinguishable
|
||
// offline from an unrelated stray integer without number alignment (Ф2). Precision over recall.
|
||
if len(wordRanges) == 0 {
|
||
return 0, nil
|
||
}
|
||
return 1, []string{fmt.Sprintf("разряд источника 10^%d (万/億) не отражён в порядках величин перевода — возможна ошибка разряда (напр. 三万→«три миллиона»)", maxSrc)}
|
||
}
|
||
|
||
// cjkNumeralRunes are the characters that can form a CJK numeral expression (digits, small units,
|
||
// big markers). A maximal run of these is one candidate number.
|
||
var cjkNumeralRunes = map[rune]bool{}
|
||
|
||
func init() {
|
||
for _, r := range "0123456789〇零一二三四五六七八九十百千两兩万萬億亿兆" {
|
||
cjkNumeralRunes[r] = true
|
||
}
|
||
}
|
||
|
||
// cjkMagnitudeOrders returns the base-10 order of every CJK numeral run in text that contains a big
|
||
// marker (万/億/兆). Runs without a big marker are ignored (the gate is about myriad-scale разряды).
|
||
func cjkMagnitudeOrders(text string) []int {
|
||
var orders []int
|
||
rs := []rune(text)
|
||
for i := 0; i < len(rs); {
|
||
if !cjkNumeralRunes[rs[i]] {
|
||
i++
|
||
continue
|
||
}
|
||
j := i
|
||
for j < len(rs) && cjkNumeralRunes[rs[j]] {
|
||
j++
|
||
}
|
||
run := string(rs[i:j])
|
||
// A run counts only when it carries a big marker AND has an explicit DIGIT coefficient before
|
||
// it (self-review major): this excludes the common web-novel IDIOMS that are not magnitudes —
|
||
// 万一 (in case), 万分 (extremely), 万物 (all things), 千万 (by all means), 亿万 (myriads) — where 万/億
|
||
// is not preceded by a digit. It also drops bare-unit magnitudes (十万/百万) — an accepted recall
|
||
// trade for not false-flagging the far more frequent idioms.
|
||
if strings.ContainsAny(run, "万萬億亿兆") && hasDigitBeforeBigMarker(run) {
|
||
if v, ok := parseCJKNumber(run); ok && v > 0 {
|
||
orders = append(orders, orderOf(v))
|
||
}
|
||
}
|
||
i = j
|
||
}
|
||
return orders
|
||
}
|
||
|
||
// hasDigitBeforeBigMarker reports whether a digit (一-九 / 两 / 0-9) appears before the FIRST big
|
||
// marker (万/億/兆) in the run — the signature of a real magnitude expression (三万) vs an idiom (万一).
|
||
func hasDigitBeforeBigMarker(run string) bool {
|
||
for _, r := range run {
|
||
if strings.ContainsRune("万萬億亿兆", r) {
|
||
return false // hit a big marker with no digit before it → idiom / bare unit
|
||
}
|
||
if (r >= '0' && r <= '9') || strings.ContainsRune("一二三四五六七八九两兩", r) {
|
||
return true
|
||
}
|
||
}
|
||
return false
|
||
}
|
||
|
||
// parseCJKNumber parses a CJK numeral expression (mixed with Arabic digits) into its integer value.
|
||
// Standard section algorithm: small units (十百千) scale the pending coefficient into the current
|
||
// <10^4 section; big units (万億兆) flush the section times the big unit into the total. Returns
|
||
// ok=false on a shape it cannot parse (conservative — an unparseable run does not flag).
|
||
func parseCJKNumber(s string) (int64, bool) {
|
||
var total, section, cur int64
|
||
sawBig := false
|
||
for _, r := range s {
|
||
switch {
|
||
case r >= '0' && r <= '9':
|
||
cur = cur*10 + int64(r-'0')
|
||
case r == '〇' || r == '零':
|
||
cur = cur * 10
|
||
default:
|
||
if d, ok := cjkDigit(r); ok {
|
||
cur = cur*10 + d // positional accumulation (一二→12), matching the Arabic-digit branch (self-review)
|
||
continue
|
||
}
|
||
if u, ok := cjkSmallUnit(r); ok {
|
||
if cur == 0 {
|
||
cur = 1
|
||
}
|
||
section += cur * u
|
||
cur = 0
|
||
continue
|
||
}
|
||
if u, ok := cjkBigUnit(r); ok {
|
||
sawBig = true
|
||
section += cur
|
||
if section == 0 {
|
||
section = 1
|
||
}
|
||
total += section * u
|
||
section = 0
|
||
cur = 0
|
||
continue
|
||
}
|
||
return 0, false // an unexpected rune
|
||
}
|
||
}
|
||
if !sawBig {
|
||
return 0, false // no 万/億/兆 → not a magnitude expression this gate cares about
|
||
}
|
||
return total + section + cur, true
|
||
}
|
||
|
||
func cjkDigit(r rune) (int64, bool) {
|
||
switch r {
|
||
case '一':
|
||
return 1, true
|
||
case '二', '两', '兩':
|
||
return 2, true
|
||
case '三':
|
||
return 3, true
|
||
case '四':
|
||
return 4, true
|
||
case '五':
|
||
return 5, true
|
||
case '六':
|
||
return 6, true
|
||
case '七':
|
||
return 7, true
|
||
case '八':
|
||
return 8, true
|
||
case '九':
|
||
return 9, true
|
||
}
|
||
return 0, false
|
||
}
|
||
|
||
func cjkSmallUnit(r rune) (int64, bool) {
|
||
switch r {
|
||
case '十':
|
||
return 10, true
|
||
case '百':
|
||
return 100, true
|
||
case '千':
|
||
return 1000, true
|
||
}
|
||
return 0, false
|
||
}
|
||
|
||
func cjkBigUnit(r rune) (int64, bool) {
|
||
switch r {
|
||
case '万', '萬':
|
||
return 10000, true
|
||
case '億', '亿':
|
||
return 100000000, true
|
||
case '兆':
|
||
return 1000000000000, true
|
||
}
|
||
return 0, false
|
||
}
|
||
|
||
func orderOf(v int64) int {
|
||
o := 0
|
||
for v >= 10 {
|
||
v /= 10
|
||
o++
|
||
}
|
||
return o
|
||
}
|
||
|
||
// magnitudeWordRanges returns the covered [minOrder,maxOrder] ranges implied by Russian magnitude
|
||
// WORDS in the output. A word covers [base, base+2] because an unseen multiplier can lift it up to
|
||
// two orders (триста миллионов = 3·10^8, base 6 → order 8). Arabic integers are handled separately
|
||
// by the caller (they may only CONFIRM coverage, never trigger a mismatch — D20.4), so they are NOT
|
||
// folded in here.
|
||
func magnitudeWordRanges(text string) [][2]int {
|
||
low := strings.ToLower(text)
|
||
var ranges [][2]int
|
||
for stem, base := range map[string]int{"тысяч": 3, "миллион": 6, "миллиард": 9, "триллион": 12} {
|
||
if strings.Contains(low, stem) {
|
||
ranges = append(ranges, [2]int{base, base + 2})
|
||
}
|
||
}
|
||
return ranges
|
||
}
|
||
|
||
// arabicNumberOrders returns the order of each Arabic integer in text, stitching grouping
|
||
// separators (space / NBSP / comma) between runs of exactly three digits so "30 000" reads as one
|
||
// 5-digit number, not "30" and "000".
|
||
func arabicNumberOrders(text string) []int {
|
||
rs := []rune(text)
|
||
var orders []int
|
||
for i := 0; i < len(rs); {
|
||
if !isASCIIDigit(rs[i]) {
|
||
i++
|
||
continue
|
||
}
|
||
// Leading group.
|
||
j := i
|
||
for j < len(rs) && isASCIIDigit(rs[j]) {
|
||
j++
|
||
}
|
||
digits := j - i
|
||
// Stitch " ddd" / ",ddd" groups.
|
||
for j < len(rs) {
|
||
if (rs[j] == ' ' || rs[j] == ' ' || rs[j] == ',') && j+3 < len(rs)+1 {
|
||
k := j + 1
|
||
g := 0
|
||
for k < len(rs) && isASCIIDigit(rs[k]) {
|
||
k++
|
||
g++
|
||
}
|
||
if g == 3 {
|
||
digits += 3
|
||
j = k
|
||
continue
|
||
}
|
||
}
|
||
break
|
||
}
|
||
orders = append(orders, digits-1)
|
||
i = j
|
||
}
|
||
return orders
|
||
}
|
||
|
||
func isASCIIDigit(r rune) bool { return r >= '0' && r <= '9' }
|
||
|
||
// preview trims a long line for the human detail (deterministic).
|
||
func preview(s string) string {
|
||
rs := []rune(s)
|
||
if len(rs) > 48 {
|
||
return string(rs[:48]) + "…"
|
||
}
|
||
return s
|
||
}
|