generated from PlexSheep/rs-base
generics are crazy
cargo devel CI / cargo CI (push) Successful in 49s
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cargo devel CI / cargo CI (push) Successful in 49s
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@ -13,16 +13,21 @@ keywords = ["wordle", "benchmark"]
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default-run = "wordlec"
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[features]
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default = ["game", "bench", "tui", "solvers"]
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game = []
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default = ["game", "bench", "tui", "solvers", "builtin_wlist", "serde"]
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builtin_wlist = ["dep:serde_json", "serde"]
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game = ["builtin_wlist"]
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solvers = []
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tui = ["game"]
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bench = []
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serde = ["dep:serde"]
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[dependencies]
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anyhow = "1.0.81"
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clap = { version = "4.5.3", features = ["derive"] }
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libpt = "0.4.2"
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rand = "0.8.5"
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serde = { version = "1.0.197", optional = true, features = ["serde_derive"] }
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serde_json = {version = "1.0.114", optional = true}
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[[bin]]
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name = "wordlec"
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@ -3,6 +3,8 @@
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#![warn(missing_debug_implementations)]
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use clap::Parser;
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use libpt::log::*;
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use wordle_analyzer::game::Game;
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use wordle_analyzer::wlist::builtin::BuiltinWList;
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use wordle_analyzer::{self, game};
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#[derive(Parser, Clone, Debug)]
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@ -24,7 +26,7 @@ fn main() -> anyhow::Result<()> {
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Logger::build_mini(Some(Level::TRACE))?;
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debug!("dumping CLI: {:#?}", cli);
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let game = game::Game::builder()
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let game: Game<BuiltinWList> = game::Game::builder()
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.length(cli.length)
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.precompute(cli.precompute)
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.build()?;
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@ -1,15 +1,21 @@
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#[derive(Debug, Clone, PartialEq, Eq, Hash)]
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pub struct Game {
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use crate::wlist::WordList;
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#[derive(Debug, Clone, PartialEq, Eq)]
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pub struct Game<WL>
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where
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WL: WordList,
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{
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length: usize,
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precompute: bool,
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max_steps: usize,
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step: usize,
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solution: String,
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wordlist: WL,
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}
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impl Game {
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impl<WL: WordList> Game<WL> {
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/// get a new [`GameBuilder`]
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pub fn builder() -> GameBuilder {
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pub fn builder() -> GameBuilder<WL> {
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GameBuilder::default()
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}
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/// Create a [Game] of wordle
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@ -24,22 +30,16 @@ impl Game {
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/// # Errors
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///
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/// This function will return an error if .
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pub(crate) fn build(length: usize, precompute: bool, max_steps: usize) -> anyhow::Result<Self> {
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pub(crate) fn build(length: usize, precompute: bool, max_steps: usize, wlist: WL) -> anyhow::Result<Self> {
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let _game = Game {
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length,
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precompute,
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max_steps,
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step: 0,
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solution: String::default(), // we actually set this later
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wordlist: wlist
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};
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// TODO: load wordlist of possible answers
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// TODO: select one as a solution at random
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// NOTE: The possible answers should be determined with a wordlist that has the
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// frequencies/probabilities of the words. We then use a sigmoid function to determine if a
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// word can be a solution based on that value. Only words above some threshold of
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// commonness will be available as solutions then. Next, we choose one of the allowed words
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// randomly.
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todo!();
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}
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}
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@ -77,16 +77,17 @@ impl Game {
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/// ```
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///
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#[derive(Debug, Clone, PartialEq, Eq, Hash)]
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pub struct GameBuilder {
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pub struct GameBuilder<WL: WordList> {
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length: usize,
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precompute: bool,
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max_steps: usize,
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wordlist: WL
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}
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impl GameBuilder {
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impl<WL: WordList> GameBuilder<WL> {
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/// build a [`Game`] with the stored configuration
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pub fn build(self) -> anyhow::Result<Game> {
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let game: Game = Game::build(self.length, self.precompute, self.max_steps)?;
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pub fn build(self) -> anyhow::Result<Game<WL>> {
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let game: Game<WL> = Game::build(self.length, self.precompute, self.max_steps, WL::default())?;
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Ok(game)
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}
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@ -116,12 +117,13 @@ impl GameBuilder {
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}
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}
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impl Default for GameBuilder {
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impl<WL: WordList> Default for GameBuilder<WL> {
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fn default() -> Self {
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Self {
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length: super::DEFAULT_WORD_LENGTH,
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precompute: false,
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max_steps: super::DEFAULT_MAX_STEPS,
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wordlist: WL::default()
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}
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}
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}
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@ -13,3 +13,4 @@ pub mod bench;
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pub mod game;
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#[cfg(feature = "solvers")]
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pub mod solvers;
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pub mod wlist;
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@ -0,0 +1,30 @@
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use serde_json;
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use super::Word;
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const RAW_WORDLIST_FILE: &str = include_str!("../../data/wordlists/en_US_3b1b_freq_map.json");
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#[derive(Clone, Debug)]
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pub struct BuiltinWList {
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words: super::WordMap
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}
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impl super::WordList for BuiltinWList {
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fn solutions(&self) -> Vec<&Word> {
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// PERF: this can be made faster if we were to use parallel iterators or chunking
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self.words.keys().collect()
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}
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fn length_range(&self) -> impl std::ops::RangeBounds<usize> {
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5..5
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}
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}
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impl Default for BuiltinWList {
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fn default() -> Self {
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let words: super::WordMap = serde_json::from_str(RAW_WORDLIST_FILE).unwrap();
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Self {
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words
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}
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}
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}
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@ -0,0 +1,25 @@
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use rand::{prelude::*, seq::IteratorRandom};
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use std::collections::HashMap;
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use std::ops::RangeBounds;
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#[cfg(feature = "builtin_wlist")]
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pub mod builtin;
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pub mod word;
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use word::*;
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pub type AnyWordlist = Box<dyn WordList>;
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pub trait WordList: Clone + std::fmt::Debug + Default {
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// NOTE: The possible answers should be determined with a wordlist that has the
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// frequencies/probabilities of the words. We then use a sigmoid function to determine if a
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// word can be a solution based on that value. Only words above some threshold of
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// commonness will be available as solutions then. Next, we choose one of the allowed words
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// randomly.
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// NOTE: must never return nothing
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fn solutions(&self) -> Vec<&Word>;
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fn rand_solution(&self) -> &Word {
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let mut rng = rand::thread_rng();
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self.solutions().iter().choose(&mut rng).unwrap()
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}
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fn length_range(&self) -> impl RangeBounds<usize>;
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}
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@ -0,0 +1,25 @@
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use std::collections::HashMap;
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#[cfg(feature = "serde")]
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use serde::{Deserialize, Serialize};
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// NOTE: We might need a different implementation for more precision
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#[derive(Clone, Debug, PartialEq, PartialOrd)]
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#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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pub struct Frequency {
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inner: f64
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}
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// PERF: Hash for String is probably a bottleneck
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pub type Word = String;
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#[derive(Clone, Debug)]
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#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
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pub struct WordMap {
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inner: HashMap<Word,Frequency>
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}
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impl WordMap {
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pub fn keys(&self) -> std::collections::hash_map::Keys<'_, String, Frequency> {
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self.inner.keys()
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}
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}
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