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Author | SHA1 | Date |
---|---|---|
Luke Hubmayer-Werner | c10007f080 |
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
337
src/main.rs
337
src/main.rs
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@ -6,19 +6,18 @@ use regex::Regex;
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use rayon::prelude::*;
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use itertools::zip;
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use array_init::array_init;
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use std::collections::BTreeMap;
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pub type Charmask = i32;
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pub type Achar = i8; // ASCII char
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pub type Charmask = i128;
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pub const WORD_LENGTH: usize = 5;
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pub const WORD_LENGTH_P: usize = 5; // Padded for SIMD shenanigans
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pub const WORD_LENGTH: usize = 4;
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pub const WORD_LENGTH_P: usize = 4; // Padded for SIMD shenanigans
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pub const GUESS_DEPTH: usize = 1; // TODO: Change this whenever working at different depths
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pub const N_SOLUTIONS: usize = 2315;
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pub const N_LETTERS: u8 = 74;
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// pub const n_solutions: usize = 2315;
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pub const CACHE_SIZE: usize = 1<<26;
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pub const IDX_ALL_WORDS: Charmask = (CACHE_SIZE as Charmask) - 1;
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pub const IDX_VALID_SOLUTIONS: Charmask = 0;
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pub const A: Achar = 'A' as Achar;
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pub const Z: Achar = 'Z' as Achar;
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pub const MAX_ENTRIES_PER_JOB: usize = 1000;
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@ -26,7 +25,6 @@ pub const MAX_ENTRIES_PER_JOB: usize = 1000;
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pub struct Word {
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charbits: [Charmask; WORD_LENGTH_P], // Each letter in bitmask form
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charmask: Charmask, // All of the characters contained
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//letters: [Achar; WORD_LENGTH]
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}
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@ -56,8 +54,6 @@ use std::hash::BuildHasherDefault;
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#[cfg(all(not(use_thin_array), not(use_hashmap), not(feature = "ahash"), feature = "xxhash_rust"))]
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type WordCache = HashMap<Charmask, Vec<Word>, BuildHasherDefault<Xxh3>>;
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#[cfg(all(not(use_thin_array), not(use_hashmap), not(feature = "ahash"), not(feature = "xxhash_rust")))]
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use std::collections::BTreeMap;
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#[cfg(all(not(use_thin_array), not(use_hashmap), not(feature = "ahash"), not(feature = "xxhash_rust")))]
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type WordCache = BTreeMap<Charmask, Vec<Word>>;
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@ -66,20 +62,94 @@ fn default_wordcache() -> WordCache {
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WordCache::default()
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}
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fn char2bit(c: Achar) -> Charmask {
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debug_assert!((A..=Z).contains(&c));
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1 << (c - A)
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fn char2bit(c: char) -> Charmask {
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match c { // By setting the most frequently-occurring kana to the highest bits, we can numerically assess what word combinations have more of them set
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'ん' => 1<<73,
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'い' => 1<<72,
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'う' => 1<<71,
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'か' => 1<<70,
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'る' => 1<<69,
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'く' => 1<<68,
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'つ' => 1<<67,
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'こ' => 1<<66,
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'し' => 1<<65,
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'と' => 1<<64,
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'た' => 1<<63,
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'き' => 1<<62,
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'す' => 1<<61,
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'せ' => 1<<60,
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'さ' => 1<<59,
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'お' => 1<<58,
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'ま' => 1<<57,
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'な' => 1<<56,
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'け' => 1<<55,
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'ら' => 1<<54,
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'て' => 1<<53,
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'れ' => 1<<52,
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'り' => 1<<51,
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'あ' => 1<<50,
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'が' => 1<<49,
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'だ' => 1<<48,
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'ち' => 1<<47,
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'そ' => 1<<46,
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'め' => 1<<45,
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'え' => 1<<44,
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'ど' => 1<<43,
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'は' => 1<<42,
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'じ' => 1<<41,
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'も' => 1<<40,
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'よ' => 1<<39,
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'ー' => 1<<38,
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'ろ' => 1<<37,
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'の' => 1<<36,
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'ぶ' => 1<<35,
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'げ' => 1<<34,
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'み' => 1<<33,
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'や' => 1<<32,
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'わ' => 1<<31,
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'に' => 1<<30,
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'ふ' => 1<<29,
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'ほ' => 1<<28,
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'ば' => 1<<27,
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'ぼ' => 1<<26,
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'ひ' => 1<<25,
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'ざ' => 1<<24,
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'ご' => 1<<23,
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'ず' => 1<<22,
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'ゆ' => 1<<21,
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'ぞ' => 1<<20,
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'む' => 1<<19,
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'び' => 1<<18,
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'で' => 1<<17,
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'ぜ' => 1<<16,
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'ね' => 1<<15,
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'べ' => 1<<14,
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'ぱ' => 1<<13,
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'へ' => 1<<12,
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'ぐ' => 1<<11,
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'ぎ' => 1<<10,
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'づ' => 1<<9,
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'ぷ' => 1<<8,
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'ぽ' => 1<<7,
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'ぴ' => 1<<6,
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'ぬ' => 1<<5,
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'ぺ' => 1<<4,
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'ぢ' => 1<<3,
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'を' => 1<<2,
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'ゔ' => 1<<1,
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'〜' => 1<<0,
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_ => 0
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}
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}
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fn str2word(s: &str) -> Word {
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let mut word = Word::default();
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let mut iter = s.chars();
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for i in 0..WORD_LENGTH {
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let c = iter.next().unwrap() as Achar;
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let c = iter.next().unwrap();
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let cb = char2bit(c);
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word.charbits[i] = cb;
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//word.letters[i] = c;
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word.charmask |= cb;
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}
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word
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@ -121,40 +191,40 @@ fn charbits2str(charbits: [Charmask; WORD_LENGTH]) -> String {
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s
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} */
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fn load_dictionary(filename: &str) -> Vec<String> {
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fn load_dictionary(filename: &str) -> (Vec<String>, usize) {
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println!("Loading dictionary at {}", filename);
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let rawfile = fs::read_to_string(filename).unwrap();
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let rawwords = rawfile.split('\n');
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let mut words = Vec::new();
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let re = Regex::new(&format!("{}{}{}", r"^[A-Za-z]{", WORD_LENGTH, r"}$")).unwrap();
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let mut words = Vec::<String>::new();
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let mut n_solutions = 0;
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for line in rawwords {
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if re.is_match(line) {
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words.push(line.to_uppercase());
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if line == "[Ta]" {
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n_solutions = words.len();
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} else if line.chars().count() == 4 {
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words.push(line.to_string());
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}
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}
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//words.sort();
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//words.dedup();
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words
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(words, n_solutions)
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}
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fn _generate_wordcache_nested(cache: &mut WordCache, subcache: &[Word], key: Charmask, next_c: Achar, depth: u8) {
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for c in next_c..=Z {
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let cb = char2bit(c);
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fn _generate_wordcache_nested(cache: &mut WordCache, subcache: &[Word], key: Charmask, next_bit: u8, depth: u8) {
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for b in next_bit..N_LETTERS {
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let cb = 1<<b;
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let sc2: Vec<Word> = subcache.iter().filter(|w| (w.charmask & cb) == cb).cloned().collect();
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if !sc2.is_empty() {
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let key2 = key | cb;
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if depth > 0 {
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_generate_wordcache_nested(cache, &sc2, key2, c+1, depth-1);
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_generate_wordcache_nested(cache, &sc2, key2, b+1, depth-1);
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}
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cache.insert(key2, sc2);
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}
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}
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}
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fn generate_wordcache(valid_words: Vec<Word>) -> WordCache {
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fn generate_wordcache(valid_words: Vec<Word>, n_solutions: usize) -> WordCache {
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let mut cache: WordCache = default_wordcache();
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let valid_solutions: Vec<Word> = valid_words[..N_SOLUTIONS].to_vec(); // Hacky way to separate the valid solutions from the larger guessing list
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_generate_wordcache_nested(&mut cache, &valid_solutions, 0, A, 5);
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let valid_solutions: Vec<Word> = valid_words[..n_solutions].to_vec(); // Hacky way to separate the valid solutions from the larger guessing list
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_generate_wordcache_nested(&mut cache, &valid_solutions, 0, 0, 5);
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cache.insert(IDX_VALID_SOLUTIONS, valid_solutions);
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cache.insert(IDX_ALL_WORDS, valid_words);
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cache
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@ -164,7 +234,7 @@ fn filter_word(w: &[Charmask; WORD_LENGTH_P], banned_chars: &[Charmask; WORD_LEN
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zip(w, banned_chars).all(|(x,y)| x & y == 0)
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}
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fn aggregate_guesses(guess_ids: &Vec<usize>, wordcache: &WordCache) -> Word {
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fn aggregate_guesses(guess_ids: &[usize], wordcache: &WordCache) -> Word {
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//guess_ids.iter().reduce(|out, g| out |= wordcache[IDX_ALL_WORDS][g]).unwrap()
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let all_words = &wordcache[&IDX_ALL_WORDS];
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let mut iter = guess_ids.iter();
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@ -179,18 +249,15 @@ fn aggregate_guesses(guess_ids: &Vec<usize>, wordcache: &WordCache) -> Word {
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aggregate_guess
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}
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fn simulate(guess: Word, wordcache: &WordCache) -> (usize, usize, Vec<usize>) {
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fn simulate(guess: Word, wordcache: &WordCache) -> (usize, usize) {
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// let valid_words = &wordcache[&IDX_ALL_WORDS];
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let valid_solutions = &wordcache[&IDX_VALID_SOLUTIONS];
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let n_solutions = valid_solutions.len();
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let required_chars: [Charmask; N_SOLUTIONS] = array_init::from_iter(
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valid_solutions.iter().map(|s| s.charmask & guess.charmask)
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).unwrap();
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let mut banned_chars: [Charmask; WORD_LENGTH*N_SOLUTIONS] = [0; WORD_LENGTH*N_SOLUTIONS];
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/* array_init::from_iter(
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valid_solutions.iter().map(|s| s.charmask & guess.charmask)
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).unwrap(); */
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for i in 0..N_SOLUTIONS {
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let required_chars: Vec<Charmask> = valid_solutions.iter().map(|s| s.charmask & guess.charmask).collect();
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let mut banned_chars: Vec<Charmask> = (0..WORD_LENGTH*n_solutions).map(|_| 0).collect();
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for i in 0..n_solutions {
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let s = valid_solutions[i];
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let bans = guess.charmask & !s.charmask; // A letter fully rejected in any position bans it in all positions
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for j in 0..WORD_LENGTH {
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@ -203,99 +270,52 @@ fn simulate(guess: Word, wordcache: &WordCache) -> (usize, usize, Vec<usize>) {
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banned_chars[i*WORD_LENGTH + j] |= !correct;
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} */
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//Branchless
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banned_chars[i*WORD_LENGTH + j] |= !correct * (correct !=0) as i32;
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banned_chars[i*WORD_LENGTH + j] |= !correct * (correct !=0) as Charmask;
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}
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}
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let mut worst = 0;
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let mut worst_w = 0;
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let mut worst_list_w: Vec<&Word> = vec![];
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for target_id in 0..N_SOLUTIONS {
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for target_id in 0..n_solutions {
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let cachekey = required_chars[target_id];
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if wordcache.contains_key(&cachekey) {
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let mut remaining = 0;
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let mut words = vec![];
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for word in &wordcache[&cachekey] {
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// TODO: test branchless toggle
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let mut error = 0;
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for c in 0..WORD_LENGTH {
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error += word.charbits[c] & banned_chars[target_id*WORD_LENGTH + c];
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}
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// remaining += (error == 0) as usize;
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if error == 0 {
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remaining += 1;
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words.push(word);
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}
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remaining += (error == 0) as usize;
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}
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if remaining > worst {
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worst = remaining;
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worst_w = target_id;
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worst_list_w = words;
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}
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}
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}
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let worst_list = worst_list_w.iter().map(|w| valid_solutions.iter().position(|x| x.charbits==w.charbits).unwrap()).collect();
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(worst, worst_w, worst_list)
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(worst, worst_w)
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}
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// fn calculate_best(w1start: usize, w1end: usize, total: usize, wordcache: &WordCache) -> Vec<(Vec<usize>, (usize, usize))> {
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// println!("Starting from word #{} to ending word #{}.", w1start, w1end);
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// let mut guess_ids: Vec<Vec<usize>> = Vec::default();
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// for i1 in w1start..w1end {
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fn calculate_best(w1start: usize, w1end: usize, total: usize, wordcache: &WordCache) -> Vec<(Vec<usize>, (usize, usize))> {
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println!("Starting from word #{} to ending word #{}.", w1start, w1end);
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let mut guess_ids: Vec<Vec<usize>> = Vec::default();
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for i1 in w1start..w1end {
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guess_ids.push(vec![i1])
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// for i2 in i1..total {
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// guess_ids.push(vec![i1,i2])
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// }
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// }
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// let guesses: Vec<Word> = guess_ids.iter().map(|i| aggregate_guesses(&i, &wordcache)).collect();
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// println!("This consists of {} guess combinations", guess_ids.len());
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// let mut results: Vec<(Vec<usize>, (usize, usize))> =
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// (0..guess_ids.len()).into_par_iter()
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// .map(|i| (guess_ids[i].clone(), simulate(guesses[i], &wordcache)))
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// .collect();
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// // results.sort_by_key(|(_guess, (worst, _solution))| worst);
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// results.sort_by_key(|x| x.1.0);
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// println!("Processed {} guesses from starting word #{} to ending word #{}.", results.len(), w1start, w1end);
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// results
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// }
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fn agg_guesses(w1: &Word, w2: &Word) -> Word {
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let mut g: Word = *w1;
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for i in 0..g.charbits.len() {
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g.charbits[i] |= w2.charbits[i];
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}
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g.charmask |= w2.charmask;
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g
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}
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let guesses: Vec<Word> = guess_ids.iter().map(|i| aggregate_guesses(&i, &wordcache)).collect();
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println!("This consists of {} guess combinations", guess_ids.len());
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fn aggregate_guesses2(guess_ids: &[usize], wordcache: &WordCache) -> Vec<Word> {
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//guess_ids.iter().reduce(|out, g| out |= wordcache[IDX_ALL_WORDS][g]).unwrap()
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let all_words = &wordcache[&IDX_ALL_WORDS];
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let mut iter = guess_ids.iter();
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let mut aggregate_guess = all_words[*iter.next().unwrap()];
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for g in iter {
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let guess = all_words[*g];
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for i in 0..aggregate_guess.charbits.len() {
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aggregate_guess.charbits[i] |= guess.charbits[i];
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}
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aggregate_guess.charmask |= guess.charmask;
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}
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all_words.iter().map(|w| agg_guesses(&aggregate_guess, w)).collect()
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}
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fn calculate_best2(seed: &[usize], wordcache: &WordCache) -> Vec<(usize, (usize, usize, Vec<usize>))> {
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println!("Aggregating guesses");
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let guesses: Vec<Word> = aggregate_guesses2(seed, &wordcache);
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println!("This consists of {} guess combinations", guesses.len());
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let mut results: Vec<(usize, (usize, usize, Vec<usize>))> =
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(0..guesses.len()).into_par_iter()
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.map(|i| (i, simulate(guesses[i], &wordcache)))
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let mut results: Vec<(Vec<usize>, (usize, usize))> =
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(0..guess_ids.len()).into_par_iter()
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.map(|i| (guess_ids[i].clone(), simulate(guesses[i], &wordcache)))
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.collect();
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// results.sort_by_key(|(_guess, (worst, _solution))| worst);
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results.sort_by_key(|x| x.1.0);
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println!("Processed {} guesses.", results.len());
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println!("Processed {} guesses from starting word #{} to ending word #{}.", results.len(), w1start, w1end);
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results
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}
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@ -304,58 +324,49 @@ fn guess2str(guess: &[usize], word_strs: &[String]) -> String {
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strs.join(",")
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}
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fn find_word_id_from_str(s: &str, words: &Vec<Word>) -> usize {
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let w = str2word(s);
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words.iter().position(|x| x.charbits==w.charbits).unwrap()
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}
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fn format_ids(ids: &Vec<usize>, word_strs: &Vec<String>) -> String {
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let s: Vec<String> = ids.iter().map(|i| word_strs[*i].to_string()).collect();
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s.join(",")
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}
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fn main() {
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eprint!("Hello, world!\n");
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//eprint!("Hello, world!\n");
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// Prints each argument on a separate line
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for argument in env::args() {
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print!("{}\t", argument);
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}
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fs::write("test.txt", ["test1", "test2", "test3"].join("\n")).expect("Failed to write output");
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let word_strs: Vec<String> = load_dictionary("words-kura");
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//fs::write("test.txt", ["test1", "test2", "test3"].join("\n")).expect("Failed to write output");
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let (word_strs, n_solutions) = load_dictionary("kotobade-asobou-list");
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let totalwords = word_strs.len();
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let words: Vec<Word> = word_strs.iter().map(|w| str2word(w)).collect();
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println!("Loaded dict - {} words in dict", totalwords);
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let wordcache = generate_wordcache(words);
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println!("Loaded dict - {} words in dict, {} of which can be solutions.", totalwords, n_solutions);
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let wordcache = generate_wordcache(words, n_solutions);
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//let all_words = &wordcache[&IDX_ALL_WORDS];
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// println!("Cache contains {} keys", wordcache.keys().len()); // 6756 on words-kura
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|
||||
// let args: Vec<String> = env::args().collect();
|
||||
// let mut w1start: usize = 0;
|
||||
// let mut w1end: usize = totalwords.min(1000);
|
||||
// match args.len() {
|
||||
// 3 => {
|
||||
// let s_w1start = &args[1];
|
||||
// let s_w1end = &args[2];
|
||||
// // parse the numbers
|
||||
// w1start = match s_w1start.parse() {
|
||||
// Ok(n) => n,
|
||||
// Err(_) => {
|
||||
// eprintln!("error: not a valid start point");
|
||||
// return;
|
||||
// },
|
||||
// };
|
||||
// w1end = match s_w1end.parse() {
|
||||
// Ok(n) => totalwords.min(n),
|
||||
// Err(_) => {
|
||||
// eprintln!("error: not a valid end point");
|
||||
// return;
|
||||
// },
|
||||
// };
|
||||
// },
|
||||
// _ => {
|
||||
// w1start = 0;
|
||||
// }
|
||||
// }
|
||||
let args: Vec<String> = env::args().collect();
|
||||
let w1start: usize;
|
||||
let w1end: usize;
|
||||
match args.len() {
|
||||
3 => {
|
||||
let s_w1start = &args[1];
|
||||
let s_w1end = &args[2];
|
||||
// parse the numbers
|
||||
w1start = match s_w1start.parse() {
|
||||
Ok(n) => n,
|
||||
Err(_) => {
|
||||
eprintln!("error: not a valid start point");
|
||||
return;
|
||||
},
|
||||
};
|
||||
w1end = match s_w1end.parse() {
|
||||
Ok(n) => totalwords.min(n),
|
||||
Err(_) => {
|
||||
eprintln!("error: not a valid end point");
|
||||
return;
|
||||
},
|
||||
};
|
||||
},
|
||||
_ => {
|
||||
w1start = 0;
|
||||
w1end = totalwords;
|
||||
}
|
||||
}
|
||||
|
||||
// Depth-1 full
|
||||
//let mut results: Vec<(String, usize)> = (0..totalwords).into_par_iter().map(|i| simulate(all_words[i], &wordcache)).collect();
|
||||
|
@ -363,37 +374,17 @@ fn main() {
|
|||
// results = (0..totalwords).into_par_iter().map(|i| simulate(all_words[i], &wordcache)).collect();
|
||||
// }
|
||||
|
||||
// Depth-3 (word1,word2,?)
|
||||
println!("Finding seed words...");
|
||||
let i1: usize = 10186-3; //find_word_id_from_str("SALET", &wordcache[&0]);
|
||||
let i2: usize = 4191-3; //find_word_id_from_str("COURD", &wordcache[&0]);
|
||||
let i3: usize = 285-1; //find_word_id_from_str("NYMPH", &wordcache[&0]);
|
||||
let i4: usize = 924-1; //find_word_id_from_str("BILGE", &wordcache[&0]);
|
||||
println!("Seed words found");
|
||||
|
||||
let results: Vec<(usize, (usize, usize, Vec<usize>))> = calculate_best2(&[i1, i2, i3], &wordcache);
|
||||
println!("\tBest score {}, worst {}.", results[0].1.0, results.last().unwrap().1.0);
|
||||
let results_strs: Vec<String> = results.iter().map(
|
||||
|(guess, (worst, solution, ids))|
|
||||
format!("{}\t{} ({}) ({})", worst, guess2str(&[i1,i2,i3,*guess], &word_strs), word_strs[*solution], format_ids(ids, &word_strs))
|
||||
let results = calculate_best(w1start, w1end, totalwords, &wordcache);
|
||||
let trim = (results.len() - MAX_ENTRIES_PER_JOB).max(0);
|
||||
println!("\tBest score {}, worst {}. Discarding worst {} entries to leave maximum of {}.", results[0].1.0, results.last().unwrap().1.0, trim, MAX_ENTRIES_PER_JOB);
|
||||
let results_strs: Vec<String> =
|
||||
results.iter().take(MAX_ENTRIES_PER_JOB.min(results.len()))
|
||||
.map(
|
||||
|(guess, (worst, solution))| format!("{}\t{} ({})", worst, guess2str(guess, &word_strs), word_strs[*solution])
|
||||
).collect();
|
||||
fs::write(format!("results_multi_{}_{}_{}.txt", i1, i2, i3), results_strs.join("\n")).expect("Failed to write output");
|
||||
|
||||
// let results: Vec<(usize, (usize, usize, Vec<usize>))> = calculate_best2(&[i1, i2, i3, i4], &wordcache);
|
||||
// println!("\tBest score {}, worst {}.", results[0].1.0, results.last().unwrap().1.0);
|
||||
// let results_strs: Vec<String> = results.iter().map(|(guess, (worst, solution, ids))| format!("{}\t{} ({})", worst, guess2str(&[i1,i2,i3,i4,*guess], &word_strs), word_strs[*solution])).collect();
|
||||
// fs::write(format!("results_multi_{}_{}_{}_{}.txt", i1, i2, i3, i4), results_strs.join("\n")).expect("Failed to write output");
|
||||
|
||||
// let results = calculate_best(w1start, w1end, totalwords, &wordcache);
|
||||
// let trim = (results.len() - MAX_ENTRIES_PER_JOB).max(0);
|
||||
// println!("\tBest score {}, worst {}. Discarding worst {} entries to leave maximum of {}.", results[0].1.0, results.last().unwrap().1.0, trim, MAX_ENTRIES_PER_JOB);
|
||||
// let results_strs: Vec<String> =
|
||||
// results.iter().take(MAX_ENTRIES_PER_JOB.min(results.len()))
|
||||
// .map(
|
||||
// |(guess, (worst, solution))| format!("{}\t{} ({})", worst, guess2str(guess, &word_strs), word_strs[*solution])
|
||||
// ).collect();
|
||||
|
||||
|
||||
//let results_strs: Vec<String> = results.iter().map(|r| r.0.clone()).collect();
|
||||
// fs::write(format!("results_from_{}_to_{}.txt", w1start, w1end), results_strs.join("\n")).expect("Failed to write output");
|
||||
fs::write(format!("results_from_{}_to_{}.txt", w1start, w1end), results_strs.join("\n")).expect("Failed to write output");
|
||||
}
|
||||
|
|
Loading…
Reference in New Issue