CSES - Datatähti 2024 alku - Results
Submission details
Task:Säähavainnot
Sender:Bliz
Submission time:2023-11-03 13:49:03 +0200
Language:Rust
Status:READY
Result:56
Feedback
groupverdictscore
#1ACCEPTED56.25
Test results
testverdicttimescore
#1ACCEPTED0.01 s7.25details
#2ACCEPTED0.01 s7.38details
#3ACCEPTED0.01 s7.38details
#4ACCEPTED0.01 s6.88details
#5ACCEPTED0.01 s7.13details
#6ACCEPTED0.01 s6.75details
#7ACCEPTED0.01 s6.63details
#8ACCEPTED0.01 s6.88details

Code

use std::{
    io::{self, BufRead},
    iter,
};

fn main() {
    let reader = io::stdin().lock();
    let predictions = predict(reader);
    print_predictions(predictions);
}

fn predict<T>(mut reader: T) -> Vec<Vec<Option<f64>>>
where
    T: BufRead,
{
    let mut input = String::new();
    reader.read_line(&mut input).unwrap();

    let _n: i32 = input
        .trim()
        .parse()
        .expect("first line of input should be the number of days");

    reader
        .lines()
        .map(|line| predict_day(&line.unwrap()))
        .collect()
}

fn predict_day(line: &str) -> Vec<Option<f64>> {
    let temperatures = line.split_whitespace().map(|x| x.parse().unwrap());
    iter::repeat(Some(temperatures.skip(23).next().unwrap()))
        .take(5)
        .chain(iter::repeat(None))
        .take(12)
        .collect()
}

fn print_predictions(predictions: Vec<Vec<Option<f64>>>) {
    for prediction in predictions {
        println!(
            "{}",
            prediction
                .iter()
                .map(|x| match x {
                    Some(t) => t.to_string(),
                    None => String::from("?"),
                })
                .collect::<Vec<String>>()
                .join(" ")
        );
    }
}

#[cfg(test)]
mod tests {
    use super::*;
    use std::{fs::File, io::BufReader};

    #[test]
    fn example_input() {
        let file =
            File::open("in.txt").expect("there should be an example input file named `in.txt`");
        let reader = BufReader::new(file);
        let predictions = predict(reader);
        print_predictions(predictions);
    }

    #[test]
    fn test_data_set() {
        const DATA_FILE_NAME: &str = "data.txt";

        let file = File::open(DATA_FILE_NAME)
            .unwrap_or_else(|_| panic!("expected to find file `{}`", DATA_FILE_NAME));
        let reader = BufReader::new(file);
        let predictions = predict(reader);

        let file = File::open(DATA_FILE_NAME)
            .unwrap_or_else(|_| panic!("expected to find file `{}`", DATA_FILE_NAME));
        let reader = BufReader::new(file);
        let measurements = get_measurements(reader);

        let score = calculate_score(predictions, measurements);
        println!("Score: {}", score);
    }

    fn get_measurements(reader: BufReader<File>) -> Vec<Vec<f64>> {
        reader
            .lines()
            .map(|line| {
                line.unwrap()
                    .split_whitespace()
                    .map(|x| x.parse().unwrap())
                    .skip(24)
                    .collect()
            })
            .collect()
    }

    fn calculate_score(predictions: Vec<Vec<Option<f64>>>, measurements: Vec<Vec<f64>>) -> f64 {
        let n = predictions.len();
        let a: f64 = predictions
            .iter()
            .flatten()
            .zip(measurements.iter().flatten())
            .map(|x| match x {
                (Some(p), m) => (p - m).abs() < 0.75,
                (None, _) => false,
            } as i32 as f64)
            .sum();
        let b: f64 = predictions
            .iter()
            .flatten()
            .zip(measurements.iter().flatten())
            .map(|x| match x {
                (Some(p), m) => (p - m).abs() >= 2.05,
                (None, _) => false,
            } as i32 as f64)
            .sum();
        25.0 * (a - b) / n as f64
    }
}

Test details

Test 1

Verdict: ACCEPTED

input
1000
-0.4 -0.1 -0.2 -0.3 -0.4 -0.5 ...

correct output
0.4 0.4 0.5 0.8 0.9 1.1 1.3 1....

user output
0.2 0.2 0.2 0.2 0.2 ? ? ? ? ? ...
Truncated

Test 2

Verdict: ACCEPTED

input
1000
2.9 2.9 2.9 2.1 2.6 2 2 2.2 2....

correct output
2.3 1.6 1.5 1.1 1 0.7 0.6 0.8 ...

user output
2.6 2.6 2.6 2.6 2.6 ? ? ? ? ? ...
Truncated

Test 3

Verdict: ACCEPTED

input
1000
6.6 6 6.4 6 4.6 4.6 4.2 4.3 4....

correct output
10 10.9 10.3 10.1 9.1 7.3 5.7 ...

user output
10.1 10.1 10.1 10.1 10.1 ? ? ?...
Truncated

Test 4

Verdict: ACCEPTED

input
1000
19.4 20.2 19.1 18.9 18.3 17.3 ...

correct output
18 18.2 17 17.5 17.2 16.2 12 8...

user output
17.2 17.2 17.2 17.2 17.2 ? ? ?...
Truncated

Test 5

Verdict: ACCEPTED

input
1000
-5.7 -5.8 -5.8 -5.9 -7.1 -6.9 ...

correct output
-4.2 -4.1 -4 -3.8 -3.5 -3.2 -3...

user output
-4.5 -4.5 -4.5 -4.5 -4.5 ? ? ?...
Truncated

Test 6

Verdict: ACCEPTED

input
1000
14.8 14.8 15.4 12.9 11.8 9.7 9...

correct output
11.8 11 11.6 10.8 10.4 10.4 10...

user output
12.6 12.6 12.6 12.6 12.6 ? ? ?...
Truncated

Test 7

Verdict: ACCEPTED

input
1000
0.7 1 2 1.4 0.6 -0.4 -0.9 -0.7...

correct output
-1.3 -0.5 -0.6 -1 -3.2 -7.2 -6...

user output
-1.8 -1.8 -1.8 -1.8 -1.8 ? ? ?...
Truncated

Test 8

Verdict: ACCEPTED

input
1000
15.1 15.3 14.9 14.4 14.4 13.7 ...

correct output
15.6 15.9 16 15.2 14.6 14.4 13...

user output
15 15 15 15 15 ? ? ? ? ? ? ?
1.2 1.2 1.2 1.2 1.2 ? ? ? ? ? ...
Truncated