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jacekpoz 2024-05-08 23:37:48 +02:00
parent 66f5b09849
commit 98d90239bf
Signed by: poz
SSH key fingerprint: SHA256:JyLeVWE4bF3tDnFeUpUaJsPsNlJyBldDGV/dIKSLyN8
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2
lab3/zad2/.gitignore vendored Normal file
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target/
results/

147
lab3/zad2/Cargo.lock generated Normal file
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# This file is automatically @generated by Cargo.
# It is not intended for manual editing.
version = 3
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lab3/zad2/Cargo.toml Normal file
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[package]
name = "zad4"
version = "0.1.0"
edition = "2021"
[dependencies]
libgen = { path = "../../libgen" }
libselect = { path = "../../libselect" }
rayon = "1.10.0"

116
lab3/zad2/src/main.rs Normal file
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use std::{collections::HashMap, env::args, fs::{self, OpenOptions}, io::{self, Write}, sync::{Arc, RwLock}, thread, time::Duration};
use libgen::gen_rand;
use libselect::{normal_select::NormalSelect, randomized_select::RandomizedSelect, Select};
fn comp_avg(results_map: &HashMap<u64, Vec<(u64, u64)>>) -> HashMap<u64, f64> {
results_map.iter()
.map(|(i, results)|
(*i, (results.iter()
.map(|res| res.0)
.sum::<u64>() as f64 / results.len() as f64)))
.collect()
}
fn swap_avg(results_map: &HashMap<u64, Vec<(u64, u64)>>) -> HashMap<u64, f64> {
results_map.iter()
.map(|(i, results)|
(*i, (results.iter()
.map(|res| res.1)
.sum::<u64>() as f64 / results.len() as f64)))
.collect()
}
fn main() -> io::Result<()> {
let k = args().nth(1)
.expect(format!("usage: {} <k>", args().nth(0).unwrap()).as_str())
.parse::<usize>()
.expect("k must be usize");
let m = 50;
let normal_results: Arc<RwLock<HashMap<u64, Vec<(u64, u64)>>>> = Arc::new(RwLock::new(HashMap::new()));
let randomized_results: Arc<RwLock<HashMap<u64, Vec<(u64, u64)>>>> = Arc::new(RwLock::new(HashMap::new()));
let mut thread_handles = vec![];
let num_cpus = thread::available_parallelism()?.get();
let num_cpus = num_cpus - 4;
for cpu in 0..num_cpus {
let cpu = cpu.clone();
let normal_results = Arc::clone(&normal_results);
let randomized_results = Arc::clone(&randomized_results);
let handle = thread::spawn(move || {
for n in ((100 + cpu * 100) as u64..=50000 as u64).step_by(100 * num_cpus) {
if normal_results.read().expect("can't read insertion results small map").get(&(n as u64)).is_some() {
continue;
}
let mut nr = normal_results.write().expect("can't write to insertion results small");
if randomized_results.read().expect("can't read quick results small map").get(&(n as u64)).is_some() {
continue;
}
let mut rr = randomized_results.write().expect("can't write to quick results small");
println!("cpu {cpu}: {n}");
let input = gen_rand(n);
nr.insert(n, vec![]);
rr.insert(n, vec![]);
let mut normal = NormalSelect::new(false);
let mut randomized = RandomizedSelect::new(false);
for i in 0..m {
print!("{i} ");
_ = std::io::stdout().flush();
normal.select(&input, k);
randomized.select(&input, k);
nr.get_mut(&n).unwrap().push((normal.num_comp(), normal.num_swap()));
rr.get_mut(&n).unwrap().push((randomized.num_comp(), randomized.num_swap()));
}
println!();
}
});
thread_handles.push(handle);
}
for handle in thread_handles {
handle.join().expect("couldn't join handle");
}
let normal_results = normal_results.read().expect("can't access results");
let randomized_results = randomized_results.read().expect("can't access results");
let normal_comp_averages = comp_avg(&normal_results);
let normal_swap_averages = swap_avg(&normal_results);
let randomized_comp_averages = comp_avg(&randomized_results);
let randomized_swap_averages = swap_avg(&randomized_results);
_ = fs::create_dir_all("./results");
let mut results_file = OpenOptions::new()
.create(true)
.append(true)
.open(format!("./results/k{k}"))?;
for n in (100..=50000).step_by(100) {
writeln!(results_file, "{n} {} {} {} {} {} {} {} {}",
normal_comp_averages[&n],
normal_swap_averages[&n],
randomized_comp_averages[&n],
randomized_swap_averages[&n],
normal_comp_averages[&n] / n as f64,
normal_swap_averages[&n] / n as f64,
randomized_comp_averages[&n] / n as f64,
randomized_swap_averages[&n] / n as f64,
)?;
}
Ok(())
}