algos/src/util.rs

163 lines
4.5 KiB
Rust

use std::fs::File;
use std::io;
use std::io::{BufRead, BufReader, Error, ErrorKind};
use std::vec::Vec;
use crate::jobs::{Job, Jobs};
#[derive(Debug, Clone)]
pub struct Graph {
pub nodes: Vec<u32>,
pub edges: Vec<(u32, u32)>,
}
#[derive(Debug)]
pub struct DirectedGraph {
pub nodes: Vec<Vec<usize>>,
pub explored: Vec<bool>,
pub time: Vec<usize>,
pub leader: Vec<usize>,
}
#[derive(Debug)]
pub struct DirectedWeightedGraph {
pub nodes: Vec<Vec<(usize, usize)>>,
pub distance: Vec<usize>,
}
pub fn read_to_vector(path: &str) -> Result<Vec<i64>, io::Error> {
let file = File::open(path)?;
let br = BufReader::new(file);
let mut v = Vec::new();
for line in br.lines() {
let line = line?;
let n = line
.trim()
.parse()
.map_err(|e| Error::new(ErrorKind::InvalidData, e))?;
v.push(n);
}
Ok(v)
}
pub fn read_to_graph(path: &str) -> Result<Graph, io::Error> {
let mut g = Graph {
nodes: vec![],
edges: vec![],
};
let file = File::open(path)?;
let br = BufReader::new(file);
for line in br.lines() {
let line = line?;
let mut nodes = line.split_whitespace();
let current_node = nodes.next().unwrap().parse().unwrap();
g.nodes.push(current_node);
for neightbor in nodes {
let neightbor: u32 = neightbor.parse().unwrap();
// If the neighbor is smaller than the current node that means we
// have already added it when we iterated over that smaller node.
// Hence, we do not add the edge again.
if neightbor > current_node {
let edge = (current_node, neightbor);
g.edges.push(edge);
}
}
}
Ok(g)
}
fn get_node_size(path: &str) -> Result<usize, io::Error> {
let mut node_size = 0;
let file = File::open(path)?;
let br = BufReader::new(file);
for line in br.lines() {
let line = line?;
let mut nodes = line.split_whitespace();
let node: usize = nodes.next().unwrap().parse().unwrap();
if node > node_size {
node_size = node;
}
}
Ok(node_size)
}
pub fn read_to_directed_graph(path: &str) -> Result<(DirectedGraph, DirectedGraph), io::Error> {
let nodes: usize = get_node_size(path).unwrap();
let mut g = DirectedGraph {
nodes: vec![vec![]; nodes],
explored: vec![false; nodes],
time: vec![0; nodes],
leader: vec![0; nodes],
};
let mut g_dash = DirectedGraph {
nodes: vec![vec![]; nodes],
explored: vec![false; nodes],
time: vec![0; nodes],
leader: vec![0; nodes],
};
let file = File::open(path)?;
let br = BufReader::new(file);
for line in br.lines() {
let line = line?;
let mut nodes = line.split_whitespace();
let first_node: usize = nodes.next().unwrap().parse().unwrap();
let second_node: usize = nodes.next().unwrap().parse().unwrap();
g.nodes[first_node - 1].push(second_node - 1);
g_dash.nodes[second_node - 1].push(first_node - 1);
}
Ok((g, g_dash))
}
pub fn read_to_directed_weighted_graph(path: &str) -> Result<DirectedWeightedGraph, io::Error> {
let nodes: usize = get_node_size(path).unwrap();
let mut g = DirectedWeightedGraph {
nodes: vec![vec![]; nodes],
distance: vec![1000000; nodes], // initial distance based on instructions
};
let file = File::open(path)?;
let br = BufReader::new(file);
for line in br.lines() {
let line = line?;
let mut nodes = line.split_whitespace();
let current_node: usize = nodes.next().unwrap().parse().unwrap();
for edge in nodes {
let mut it = edge.split(",");
let target_node: usize = it.next().unwrap().parse().unwrap();
let distance: usize = it.next().unwrap().parse().unwrap();
g.nodes[current_node - 1].push((target_node - 1, distance))
}
}
Ok(g)
}
pub fn read_jobs(path: &str) -> Result<Jobs, io::Error> {
let mut jobs = Vec::new();
let file = File::open(path)?;
let br = BufReader::new(file);
let mut lines = br.lines();
lines.next();
for line in lines {
let line = line?;
let mut nodes = line.split_whitespace();
let weight: u32 = nodes.next().unwrap().parse().unwrap();
let length: u32 = nodes.next().unwrap().parse().unwrap();
let job = Job {
weight: weight,
length: length,
};
jobs.push(job);
}
Ok(jobs)
}