6 stable releases
Uses old Rust 2015
1.2.2 | Sep 8, 2017 |
---|---|
1.2.1 | Aug 23, 2017 |
1.1.1 | Aug 12, 2017 |
1.0.0 | Aug 12, 2017 |
#2795 in Parser implementations
Used in neural_network
12KB
186 lines
fast_io
A simple and fast file I/O for the rust programming language
This library enables you to read and write &str as well as types implementing the copy trait.
How to use it
Add it to your dependencies (Cargo.toml)
[dependecies]
fast_io = 1.2
Include it and use it in your code (src/main.rs)
extern crate fast_io;
use fast_io::prelude::*;
use std::fs::{File, remove_file};
fn main() {
let file_path = "some_file.txt";
// Content to read and write to the file
let a: i32 = -42;
let b: f64 = 42.42;
let c: u16 = 42;
let d: Point = Point { x: 42.0, y: 42.0 };
let e: Neuron = Neuron { bias: 17.0, prev_delta: 18.42, output: 19.0};
let g: Vec<Neuron> = vec![e.clone(); 18];
let h: &str = "Hello World!";
let i: Vec<Point> = vec![Point { x: 42.0, y: 42.0}; 42];
let j: Option<Neuron> = Some(Neuron {bias: 39.39, prev_delta: 27.27, output: 42.42});
let k: Option<Neuron> = None;
// Create the file
let mut f = File::create(file_path).unwrap();
// Write to the file
f.write_copy(&a).unwrap();
f.write_copy(&b).unwrap();
f.write_copy(&c).unwrap();
f.write_copy(&d).unwrap();
e.save(&mut f).unwrap();
g.save(&mut f).unwrap();
f.write_str(h).unwrap();
f.write_slice(&i).unwrap();
j.save(&mut f).unwrap();
k.save(&mut f).unwrap();
// re-open the file for reading
let mut f = File::open(file_path).unwrap();
// Read the file content
let a2: i32 = f.read_copy().unwrap();
let b2: f64 = f.read_copy().unwrap();
let c2: u16 = f.read_copy().unwrap();
let d2: Point = f.read_copy().unwrap();
let e2 = Neuron::load(&mut f).unwrap();
let g2 = Vec::<Neuron>::load(&mut f).unwrap();
let h2 = &f.read_str().unwrap();
let i2: Vec<Point> = f.read_slice().unwrap();
let j2: Option<Neuron> = Option::<Neuron>::load(&mut f).unwrap();
let k2: Option<Neuron> = Option::<Neuron>::load(&mut f).unwrap();
assert_eq!(a, a2);
assert_eq!(b, b2);
assert_eq!(c, c2);
assert_eq!(d, d2);
assert_eq!(e, e2);
assert_eq!(g, g2);
assert_eq!(h, h2);
assert_eq!(i, i2);
assert_eq!(j, j2);
assert_eq!(k, k2);
remove_file(file_path).unwrap();
}
#[derive(Debug, Copy, Clone, PartialEq)]
struct Point {
x: f64,
y: f64
}
#[derive(Debug, Clone)]
struct Neuron {
bias: f64,
prev_delta: f64,
output: f64
}
impl PartialEq for Neuron {
fn eq(&self, rhs: &Self) -> bool {
self.bias == rhs.bias
}
}
impl CustomIO for Neuron {
fn save<T: CopyIO>(&self, f: &mut T) -> Result<()> {
f.write_copy(&self.bias)
}
fn load<T: CopyIO>(f: &mut T) -> Result<Self> {
Ok(Neuron {
bias: f.read_copy()?,
prev_delta: 0.0,
output: 0.0
})
}
}