1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
use crate::maximum::{Max, RollingMax};
use crate::minimum::{Min, RollingMin};
use crate::stats::Univariate;
use num::{Float, FromPrimitive};
use serde::{Deserialize, Serialize};
use std::ops::{AddAssign, SubAssign};
#[derive(Copy, Clone, Default, Debug, Serialize, Deserialize)]
pub struct PeakToPeak<F: Float + FromPrimitive + AddAssign + SubAssign> {
pub min: Min<F>,
pub max: Max<F>,
}
impl<F: Float + FromPrimitive + AddAssign + SubAssign> PeakToPeak<F> {
pub fn new() -> Self {
Self {
min: Min::new(),
max: Max::new(),
}
}
}
impl<F: Float + FromPrimitive + AddAssign + SubAssign> Univariate<F> for PeakToPeak<F> {
fn update(&mut self, x: F) {
self.min.update(x);
self.max.update(x);
}
fn get(&self) -> F {
self.max.get() - self.min.get()
}
}
#[derive(Serialize, Deserialize)]
pub struct RollingPeakToPeak<F: Float + FromPrimitive + AddAssign + SubAssign> {
pub min: RollingMin<F>,
pub max: RollingMax<F>,
}
impl<F: Float + FromPrimitive + AddAssign + SubAssign> RollingPeakToPeak<F> {
pub fn new(window_size: usize) -> Self {
Self {
min: RollingMin::new(window_size),
max: RollingMax::new(window_size),
}
}
}
impl<F: Float + FromPrimitive + AddAssign + SubAssign> Univariate<F> for RollingPeakToPeak<F> {
fn update(&mut self, x: F) {
self.min.update(x);
self.max.update(x);
}
fn get(&self) -> F {
self.max.get() - self.min.get()
}
}