Files
chapter-8-exercises/src/stats.rs
2020-11-17 22:04:09 +00:00

119 lines
2.9 KiB
Rust

use std::convert::TryFrom;
use ::std::collections::HashMap;
#[derive(Debug)]
pub struct NewStatsCalculator<'a> {
data: &'a mut Vec<i32>,
length: u32,
total: i32,
}
impl<'a> NewStatsCalculator<'a> {
pub fn from_vec(initial_data: &'a mut Vec<i32>) -> Self {
let mut instance = NewStatsCalculator {
data: initial_data,
length: 0,
total: 0,
};
instance.get_length();
instance.get_total();
instance
}
// pub fn initialise(&mut self) -> () {
// self.total = self.data.iter().sum();
// let length = i32::try_from(self.data.len());
// // self.length = match length {
// // Ok(i) => i,
// // _ => 0,
// // };
// if let Ok(i) = length {
// self.length = i;
// } else {
// self.length = 0;
// }
// }
fn get_length(&mut self) {
let length = u32::try_from(self.data.len());
if let Ok(i) = length {
self.length = i;
} else {
self.length = 0;
}
}
fn get_total(&mut self) {
self.total = self.data.iter().sum();
}
pub fn get_mean(&self) -> f32 {
self.total as f32 / self.length as f32
}
pub fn get_median(&mut self) -> f32 {
let mid = self.length as usize / 2;
self.data.sort_unstable();
if self.length % 2 == 0 {
(self.data[mid - 1] as f32 + self.data[mid] as f32) / 2.0
} else {
self.data[mid] as f32
}
}
// pub fn get_mode(&self) -> HashMap<&mut i32, i32> {
// let mut mode = HashMap::new();
// for ref i in self.data {
// let count = mode.entry(i).or_insert(0);
// *count += 1;
// }
// mode
// }
}
#[cfg(test)]
mod test {
use super::*;
#[test]
fn test_get_length() {
let mut data = vec![1, 2, 3, 4, 5, 6];
let mut test = NewStatsCalculator::from_vec(&mut data);
test.get_length();
assert_eq!(test.length, 6);
}
#[test]
fn test_get_total() {
let mut data = vec![1, 2, 3, 4, 5, 6];
let mut test = NewStatsCalculator::from_vec(&mut data);
test.get_length();
assert_eq!(test.total, 21);
}
#[test]
fn test_get_mean() {
let mut data = vec![1, 2, 3, 4, 5, 6];
let test = NewStatsCalculator::from_vec(&mut data);
assert_eq!(test.get_mean(), 3.5);
}
#[test]
fn test_get_median_even() {
let mut data = vec![1, 2, 3, 4, 5, 6];
let mut test = NewStatsCalculator::from_vec(&mut data);
assert_eq!(test.get_median(), 3.5);
}
#[test]
fn test_get_median_odd() {
let mut data = vec![1, 2, 3, 4, 5, 6, 7];
let mut test = NewStatsCalculator::from_vec(&mut data);
assert_eq!(test.get_median(), 4.0);
}
}