Submission #15099034


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// This code is generated by [cargo-atcoder](https://github.com/tanakh/cargo-atcoder)
// Original source code:
/*
use std::collections::HashMap;

use proconio::input;
use proconio::marker::Chars;
use rand::{Rng, thread_rng};
use rand_distr::Normal;

use rco_contest_2017_qual::algorithm::{BeamSearch, BeamSearchContext, SearchState};
use rco_contest_2017_qual::tile::{Board, Direction, Position};
use rco_contest_2017_qual::util::{BitSet, Clock, convert_board_to_graph, HashGenerator};

fn main() {
    input! {
        h: usize,
        _w: usize,
        k: usize,
        mut sy: usize,
        mut sx: usize,
        s: [Chars; h],
        n: usize,
        foods: [(usize, usize, u32, u32); n]
    }

    sy -= 1;
    sx -= 1;

    #[derive(Clone, Debug, PartialEq)]
    enum CellType {
        Road,
        Obstacle,
    }

    #[derive(Clone, Debug, PartialEq)]
    struct Cell {
        pos: Position,
        cell_type: CellType,
        food: Option<Food>,
    }

    #[derive(Clone, Debug, PartialEq)]
    struct Food {
        pos: Position,
        value: u32,
        decrease: u32,
    }

    let foods: Vec<Food> = foods.iter().map(|v: &(usize, usize, u32, u32)| -> Food {
        let (y, x, value, decrease) = v;
        Food {
            pos: Position::new(*x - 1, *y - 1),
            value: *value,
            decrease: *decrease,
        }
    }).collect();

    let mut food_map = HashMap::new();

    for food in foods {
        food_map.insert(food.pos.clone(), food);
    }

    let board = Board::from(s);
    let board = board.map(|pos: Position, c: &char| -> Cell {
        Cell {
            pos,
            cell_type: match c {
                '.' => CellType::Road,
                '#' | _ => CellType::Obstacle,
            },
            food: food_map.get(&pos).cloned(),
        }
    });

    let graph = convert_board_to_graph(&board, |cell: &Cell| -> bool {
        match cell.cell_type {
            CellType::Road => { true }
            CellType::Obstacle => { false }
        }
    });

    let start_idx = graph.find_idx_by_compare(|cell: &Cell| -> bool {
        cell.pos == Position::new(sx, sy)
    }).unwrap();

    #[derive(Clone)]
    struct State {
        current_idx: usize,
        step: usize,
        value: i32,
        true_value: i32,
        mag: f64,
        hash: u128,
        prev_move_dir: Option<Direction>,
        visited: BitSet,
    }

    impl SearchState for State {
        fn true_value(&self) -> f64 {
            self.true_value as f64
        }
        fn value(&self) -> f64 {
            self.true_value as f64 * self.mag + self.value as f64 * (1. - self.mag)
        }
    }

    let mut current_node_hash_generator = HashGenerator::new();
    let mut path_hash_generator = HashGenerator::new();

    let mut best_value = 0;
    let mut best_state_history_opt = None;
    let clock = Clock::new();

    loop {
        let mut best_state_map = HashMap::new();

        let initial_state = State {
            current_idx: start_idx,
            step: 0,
            value: 0,
            true_value: 0,
            mag: 0.,
            hash: path_hash_generator.gen_hash(&start_idx) as u128 +
                current_node_hash_generator.gen_hash(&start_idx) as u128,
            prev_move_dir: None,
            visited: BitSet::new(graph.get_nodes().len()),
        };

        best_state_map.insert(initial_state.hash, initial_state.true_value);

        let mut food_value_mags = vec![];
        let normal = Normal::new(1., 0.05).unwrap();
        for _ in 0..graph.get_nodes().len() {
            let b = thread_rng().sample(normal);
            food_value_mags.push(b);
        }


        let mut beam_search = BeamSearch::new(
            |state: &State, context: &BeamSearchContext<State>| -> Vec<State> {
                let mut state_list = vec![];
                let edges = graph.get_edges(state.current_idx);

                for edge in edges {
                    let dir = edge.get_data();

                    let mut next_value = state.value;
                    let mut next_true_value = state.true_value;
                    let mut hash = state.hash
                        - current_node_hash_generator.gen_hash(&edge.get_from()) as u128
                        + current_node_hash_generator.gen_hash(&edge.get_to()) as u128;

                    if !state.visited.get(edge.get_to()) {
                        let next_node = graph.get_node(edge.get_to());
                        if let Some(food) = &next_node.get_data().food {
                            let value = food.value as i32 - food.decrease as i32 * state.step as i32;
                            next_true_value = next_true_value + value;
                            next_value = next_value + value * food_value_mags[edge.get_to()] as i32;
                            hash += path_hash_generator.gen_hash(&edge.get_to()) as u128;
                        }
                    }

                    if let Some(best_state_value) = best_state_map.get(&hash) {
                        if next_true_value <= *best_state_value {
                            continue;
                        }
                    }
                    let mut visited = state.visited.clone();

                    let mut mag = context.get_depth() as f64 / 100.;

                    if mag >= 1. {
                        mag = 1.;
                    }

                    visited.set(edge.get_to(), true);

                    best_state_map.insert(hash, next_true_value);

                    let next_state = State {
                        current_idx: edge.get_to(),
                        step: state.step + 1,
                        value: next_value,
                        true_value: next_true_value,
                        mag,
                        hash,
                        prev_move_dir: Some(*dir),
                        visited,
                    };
                    state_list.push(next_state);
                }

                state_list
            }
        );

        beam_search.disable_search_only_deepest_state();
        beam_search.enable_abort_if_best_state_not_updated(50);

        let state_history = beam_search.search_including_history(initial_state, k, 100).unwrap();
        let value = state_history.last().unwrap().true_value;
        dbg!(value);
        if value > best_value {
            best_state_history_opt = Some(state_history);
            best_value = value;
        }
        if clock.get_elapsed_milli_secs() >= 9000 {
            break;
        }
    }

    let state_history = best_state_history_opt.unwrap();

    let mut dirs = vec![];

    for state in &state_history {
        if let Some(dir) = state.prev_move_dir {
            dirs.push(dir);
        }
    }

    for dir in &dirs {
        print!("{}", dir);
    }

    for _ in 0..(k - dirs.len()) {
        print!("-");
    }

    println!();

    eprintln!("{:#?}", state_history.last().unwrap().true_value);
}
*/

fn main() {
    let exe = "/tmp/binFF7D33CD";
    std::io::Write::write_all(&mut std::fs::File::create(exe).unwrap(), &decode(BIN)).unwrap();
    std::fs::set_permissions(exe, std::os::unix::fs::PermissionsExt::from_mode(0o755)).unwrap();
    std::process::exit(std::process::Command::new(exe).status().unwrap().code().unwrap())
}

fn decode(v: &str) -> Vec<u8> {
    let mut ret = vec![];
    let mut buf = 0;
    let mut tbl = vec![64; 256];
    for i in 0..64 { tbl[TBL[i] as usize] = i as u8; }
    for (i, c) in v.bytes().filter_map(|c| { let c = tbl[c as usize]; if c < 64 { Some(c) } else { None } }).enumerate() {
        match i % 4 {
            0 => buf = c << 2,
            1 => { ret.push(buf | c >> 4); buf = c << 4; }
            2 => { ret.push(buf | c >> 2); buf = c << 6; }
            3 => ret.push(buf | c),
            _ => unreachable!(),
        }
    }
    ret
}

const TBL: &'static [u8] = b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/";
const BIN: &'static str = "
f0VMRgIBAQAAAAAAAAAAAAIAPgABAAAAMK5CAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAEAA
AAAAAAEAAAAFAAAAAAAAAAAAAAAAAEAAAAAAAAAAQAAAAAAAMLYCAAAAAAAwtgIAAAAAAAAAIAAAAAAA
AQAAAAYAAADIDQAAAAAAAMjtZQAAAAAAyO1lAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAABR5XRk
BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAACeuRIBVUFgh
CAgNFgAAAADo1QUA6NUFAMgBAAClAAAAAgAAAPv7If9/RUxGAgEBAAIAPgANcARADxvybRYFACjSBQAT
gR27ezgABwUPAA4rBQAALSFP2EAHoJ8FAB3s+84gADcGCKwXrGUJ++yEB5QlDshBADfIFmywBAPIsgdA
DTIhTyQAAAQHHhbChgtvAGgCye/bwG0AUOV0ZDdMSBLyQrYHRQwAV2C7w29RNwYAABBSWLCTAFJvpwAY
QsjguQAAAAAAAAAk/9idBQDUoQIAAkkTAP/fdMsEABQDA0dOVQDEfSsYTwYUNKv/////wX8F8I/uvA2D
/5JQWMMAQVdBVjHAQVVBVEmDzP9VU0m3l///if5Mic9OjSwCSIPsSEiJNCRMJAgT4Uyb+293Byjyrg5U
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Submission Info

Submission Time
Task B - Food Collector
User omu
Language Rust (1.42.0)
Score 20394
Code Size 248537 Byte
Status
Exec Time 9671 ms
Memory 131020 KB

Judge Result

Set Name Score / Max Score Test Cases
test_01 1944 / 20000 subtask_01_01.txt
test_02 2811 / 20000 subtask_01_02.txt
test_03 2153 / 20000 subtask_01_03.txt
test_04 1170 / 20000 subtask_01_04.txt
test_05 2101 / 20000 subtask_01_05.txt
test_06 2624 / 20000 subtask_01_06.txt
test_07 2181 / 20000 subtask_01_07.txt
test_08 1728 / 20000 subtask_01_08.txt
test_09 1233 / 20000 subtask_01_09.txt
test_10 2449 / 20000 subtask_01_10.txt
Case Name Status Exec Time Memory
subtask_01_01.txt 9081 ms 79400 KB
subtask_01_02.txt 9671 ms 131020 KB
subtask_01_03.txt 9467 ms 98604 KB
subtask_01_04.txt 9081 ms 69084 KB
subtask_01_05.txt 9350 ms 90872 KB
subtask_01_06.txt 9389 ms 120824 KB
subtask_01_07.txt 9340 ms 95724 KB
subtask_01_08.txt 9342 ms 80076 KB
subtask_01_09.txt 9228 ms 59096 KB
subtask_01_10.txt 9166 ms 100348 KB