feat(offline): port DAWG cursor + move generator to TS (parity-pinned)
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First engine-first step of PWA offline mode (Phase A): the client-side move generator — the "robot brain" a local vs_ai game will run on-device — with no runtime wiring yet (Phase B). - dawg.ts: add the step-by-step cursor (root/final/next/arcs), a faithful port of dafsa traverse.go over the reader's existing bitstream. - generate.ts: the Appel-Jacobson generator (leftPart/extendRight + cross-sets + counts-rack + board transpose + moveKey ranking), reusing the cursor and validate.ts evaluate/connected. A cross-set LetterSet is a Uint8Array, so the 33-letter Russian alphabet (index 32) is exact under JS bit ops. - validate.ts: export connected for the generator's connectivity filter. - backend/cmd/movegen: dev tool building small sample dictionaries and emitting golden move-generation fixtures from the real Go solver (EN + RU). - tests: dawg.cursor.test.ts (enumeration bijection vs indexOf) and generate.parity.test.ts (7/7 vs the Go solver: empty board, mid-game, blank, single-word rule, Russian index-32 cross-set). The committed EN sample also unblocks the existing skipped dawg.parity.test.ts once wired with DICT_* in CI. Pure additive library code; no runtime behavior change.
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// Command movegen emits golden conformance fixtures for the client-side move
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// generator port (ui/src/lib/dict). It is a dev tool, run by hand; its output is
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// committed so the TypeScript parity tests run without a Go toolchain.
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//
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// For each small sample dictionary (English and Russian — the latter reaches
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// alphabet index 32, exercising the 33-letter cross-set boundary) it writes:
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//
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// - sample_<tag>.dawg the serialized dictionary (the reader/cursor fixture)
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// - sample_<tag>.words.json the stored words + their alphabet indexes
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// - sample_<tag>.gen.json ranked move-generation results from the real solver,
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// for a handful of positions, plus the ruleset the TS
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// side rebuilds to score identically
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//
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// Positions are built with only the solver's public API: an empty board, and
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// two-ply positions reached by applying the solver's own top move (so no internal
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// encoding is needed). Regenerate with:
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//
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// go run ./backend/cmd/movegen -out ui/src/lib/dict/testdata
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package main
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import (
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"encoding/json"
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"flag"
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"log"
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"os"
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"path/filepath"
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"gitea.iliadenisov.ru/developer/scrabble-solver/board"
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"gitea.iliadenisov.ru/developer/scrabble-solver/rack"
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"gitea.iliadenisov.ru/developer/scrabble-solver/rules"
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"gitea.iliadenisov.ru/developer/scrabble-solver/scrabble"
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dawg "github.com/iliadenisov/dafsa"
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)
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// sampleWordsEN is the English sample dictionary, in strictly increasing
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// alphabet-index order (the builder requires it). Shared prefixes (car/care/cars),
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// shared suffixes (cats/dogs), internal-final nodes (do, an) and a one-letter word.
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var sampleWordsEN = []string{
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"a", "an", "and", "ant",
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"car", "care", "cared", "cares", "cars", "cat", "cats",
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"do", "doe", "does", "dog", "dogs", "done", "dot",
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}
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// sampleWordsRU is the Russian sample dictionary, in strictly increasing index
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// order. It deliberately includes words starting with я (index 32) so the ported
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// cross-set handles alphabet indexes past JS's 31-bit shift boundary.
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var sampleWordsRU = []string{"ад", "ар", "оса", "я", "яд", "яр"}
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// sampleFixture is the JSON committed with the .dawg so the TypeScript cursor test
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// knows the exact word set (as alphabet indexes) to expect from enumeration.
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type sampleFixture struct {
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Alphabet string `json:"alphabet"`
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NumAdded int `json:"numAdded"`
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Words []string `json:"words"`
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Indexes [][]int `json:"indexes"`
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}
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// genFixture is the move-generation golden set for one sample dictionary.
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type genFixture struct {
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Ruleset genRuleset `json:"ruleset"`
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Cases []genCase `json:"cases"`
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}
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// genRuleset is the scoring data the TS side rebuilds so evaluate() matches the Go
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// solver: letter values, premium multipliers per square, the centre, rack size and bonus.
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type genRuleset struct {
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Size int `json:"size"`
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Cols int `json:"cols"`
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Center int `json:"center"`
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RackSize int `json:"rackSize"`
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Bingo int `json:"bingo"`
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Values []int `json:"values"`
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LetterMult [][]int `json:"letterMult"`
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WordMult [][]int `json:"wordMult"`
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}
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// genTile is one placed tile (a board tile or a move placement).
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type genTile struct {
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Row int `json:"row"`
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Col int `json:"col"`
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Letter int `json:"letter"`
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Blank bool `json:"blank"`
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}
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// genRack is a rack as a multiset of letter indexes plus a blank count.
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type genRack struct {
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Letters []int `json:"letters"`
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Blanks int `json:"blanks"`
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}
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// genMove is one ranked generated play: its orientation, placed tiles and total score.
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type genMove struct {
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Dir int `json:"dir"`
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Tiles []genTile `json:"tiles"`
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Score int `json:"score"`
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}
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// genCase is one generation position: the tiles already on the board (empty when
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// none), the rack, the mode/rule and the ranked moves the solver returns.
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type genCase struct {
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Name string `json:"name"`
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Placed []genTile `json:"placed"`
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Rack genRack `json:"rack"`
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Mode int `json:"mode"`
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IgnoreCrossWords bool `json:"ignoreCrossWords"`
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Moves []genMove `json:"moves"`
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}
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func main() {
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out := flag.String("out", "ui/src/lib/dict/testdata", "output directory for fixtures")
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flag.Parse()
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if err := os.MkdirAll(*out, 0o755); err != nil {
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log.Fatalf("movegen: mkdir %s: %v", *out, err)
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}
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buildSample(*out, "en", rules.English(), sampleWordsEN, []genCase{
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emptyCase("empty-cared", englishRack("caredts", 0), scrabble.Both, false),
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emptyCase("empty-dogs", englishRack("dogsent", 0), scrabble.Both, false),
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emptyCase("empty-blank", englishRack("caret", 1), scrabble.Both, false),
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emptyCase("empty-single-word", englishRack("caredts", 0), scrabble.Both, true),
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})
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buildSample(*out, "ru", rules.RussianScrabble(), sampleWordsRU, []genCase{
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emptyCase("empty-yad", russianRack("ядрасо", 0), scrabble.Both, false),
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})
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}
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// buildSample writes the dawg, the word fixture and the generation golden set for
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// one sample dictionary. Two-ply cases are appended: the solver's own top move from
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// the first non-empty result is applied, then generation runs again on the new rack.
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func buildSample(out, tag string, rs *rules.Ruleset, words []string, cases []genCase) {
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idx := rs.Alphabet
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b := dawg.New(idx)
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indexes := make([][]int, 0, len(words))
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for _, w := range words {
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if err := b.Add(w); err != nil {
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log.Fatalf("movegen[%s]: add %q: %v", tag, w, err)
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}
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enc, err := idx.Encode(w)
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if err != nil {
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log.Fatalf("movegen[%s]: encode %q: %v", tag, w, err)
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}
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ints := make([]int, len(enc))
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for i, x := range enc {
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ints[i] = int(x)
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}
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indexes = append(indexes, ints)
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}
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finder := b.Finish()
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writeJSON(filepath.Join(out, "sample_"+tag+".words.json"), sampleFixture{
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Alphabet: tag, NumAdded: finder.NumAdded(), Words: words, Indexes: indexes,
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})
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dawgPath := filepath.Join(out, "sample_"+tag+".dawg")
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if _, err := finder.Save(dawgPath); err != nil {
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log.Fatalf("movegen[%s]: save %s: %v", tag, dawgPath, err)
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}
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s := scrabble.NewSolver(rs, finder)
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for i := range cases {
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runCase(s, rs, &cases[i], nil)
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}
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// A two-ply position from the first standard case that produced a move.
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if two := twoPly(s, rs, cases); two != nil {
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cases = append(cases, *two)
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}
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writeJSON(filepath.Join(out, "sample_"+tag+".gen.json"), genFixture{
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Ruleset: rulesetOf(rs), Cases: cases,
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})
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log.Printf("movegen[%s]: %d words, %d cases", tag, finder.NumAdded(), len(cases))
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}
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// runCase fills a case's Moves by generating on a board holding the given placed
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// tiles (nil = empty board).
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func runCase(s *scrabble.Solver, rs *rules.Ruleset, c *genCase, placed []genTile) {
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bd := board.New(rs.Rows, rs.Cols)
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for _, t := range placed {
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bd.Set(t.Row, t.Col, cellByte(t.Letter, t.Blank))
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}
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c.Placed = placed
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rk := toRack(rs.Size(), c.Rack)
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moves := s.GenerateMovesOpts(bd, rk, scrabble.Mode(c.Mode), scrabble.PlayOptions{IgnoreCrossWords: c.IgnoreCrossWords})
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c.Moves = movesOf(moves)
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}
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// twoPly reaches a mid-game position by applying the top move of the first standard
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// case that generated one, then generates again with a fresh rack of the same tiles.
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func twoPly(s *scrabble.Solver, rs *rules.Ruleset, cases []genCase) *genCase {
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for _, c := range cases {
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if c.IgnoreCrossWords || len(c.Moves) == 0 {
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continue
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}
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placed := c.Moves[0].Tiles
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next := genCase{Name: "two-ply", Rack: c.Rack, Mode: int(scrabble.Both)}
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runCase(s, rs, &next, placed)
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return &next
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}
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return nil
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}
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// cellByte encodes a board cell the way internal/encoding.Cell does (bits 0-5 hold
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// letter+1, bit 7 marks a blank). Duplicated here because that package is internal
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// to the solver module and cannot be imported.
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func cellByte(letter int, blank bool) byte {
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v := byte(letter+1) & 0x3f
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if blank {
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v |= 0x80
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}
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return v
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}
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func toRack(size int, r genRack) rack.Rack {
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rk := rack.New(size)
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for _, l := range r.Letters {
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rk.Add(byte(l))
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}
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for i := 0; i < r.Blanks; i++ {
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rk.AddBlank()
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}
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return rk
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}
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func rulesetOf(rs *rules.Ruleset) genRuleset {
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lm := make([][]int, rs.Rows)
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wm := make([][]int, rs.Rows)
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for r := 0; r < rs.Rows; r++ {
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lm[r] = make([]int, rs.Cols)
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wm[r] = make([]int, rs.Cols)
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for c := 0; c < rs.Cols; c++ {
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p := rs.Premium(r, c)
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lm[r][c] = p.LetterMult()
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wm[r][c] = p.WordMult()
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}
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}
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return genRuleset{
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Size: rs.Size(), Cols: rs.Cols, Center: rs.Center, RackSize: rs.RackSize,
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Bingo: rs.Bingo, Values: rs.Values, LetterMult: lm, WordMult: wm,
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}
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}
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func movesOf(ms []scrabble.Move) []genMove {
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out := make([]genMove, len(ms))
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for i, m := range ms {
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out[i] = genMove{Dir: int(m.Dir), Tiles: tilesOf(m.Tiles), Score: m.Score}
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}
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return out
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}
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func tilesOf(ps []scrabble.Placement) []genTile {
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out := make([]genTile, len(ps))
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for i, p := range ps {
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out[i] = genTile{Row: p.Row, Col: p.Col, Letter: int(p.Letter), Blank: p.Blank}
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}
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return out
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}
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// emptyCase builds an empty-board case (Moves filled later by runCase).
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func emptyCase(name string, r genRack, mode scrabble.Mode, ignoreCross bool) genCase {
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return genCase{Name: name, Rack: r, Mode: int(mode), IgnoreCrossWords: ignoreCross}
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}
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// englishRack builds a rack from lowercase a-z letters (index = letter-'a').
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func englishRack(letters string, blanks int) genRack {
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idx := make([]int, 0, len(letters))
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for _, ch := range letters {
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idx = append(idx, int(ch-'a'))
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}
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return genRack{Letters: idx, Blanks: blanks}
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}
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// russianRack builds a rack from the Russian sample letters used above.
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func russianRack(letters string, blanks int) genRack {
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m := map[rune]int{'а': 0, 'д': 4, 'о': 15, 'р': 17, 'с': 18, 'я': 32}
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idx := make([]int, 0, len([]rune(letters)))
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for _, ch := range letters {
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i, ok := m[ch]
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if !ok {
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log.Fatalf("movegen: russianRack: no index for %q", string(ch))
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}
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idx = append(idx, i)
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}
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return genRack{Letters: idx, Blanks: blanks}
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}
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func writeJSON(path string, v any) {
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data, err := json.MarshalIndent(v, "", " ")
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if err != nil {
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log.Fatalf("movegen: marshal %s: %v", path, err)
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}
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if err := os.WriteFile(path, append(data, '\n'), 0o644); err != nil {
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log.Fatalf("movegen: write %s: %v", path, err)
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}
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}
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