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
use crate::evaluator::*;

/// Half amplitude of magnitude
///
/// $$
/// \mathrm{amplitude} \equiv \frac{\left( \max{(m)} - \min{(m)} \right)}{2}
/// $$
///
/// - Depends on: **magnitude**
/// - Minimum number of observations: **1**
/// - Number of features: **1**
/// ```
/// use light_curve_feature::*;
///
/// let fe = feat_extr!(Amplitude::default());
/// let time = [0.0, 1.0];  // Doesn't depend on time
/// let magn = [0.0, 2.0];
/// let mut ts = TimeSeries::new(&time[..], &magn[..], None);
/// assert_eq!(vec![1.0], fe.eval(&mut ts).unwrap());
/// ```
#[derive(Clone, Default, Debug)]
pub struct Amplitude {}

impl Amplitude {
    pub fn new() -> Self {
        Self {}
    }
}

lazy_info!(
    AMPLITUDE_INFO,
    size: 1,
    min_ts_length: 1,
    t_required: false,
    m_required: true,
    w_required: false,
    sorting_required: false,
);

impl<T> FeatureEvaluator<T> for Amplitude
where
    T: Float,
{
    fn eval(&self, ts: &mut TimeSeries<T>) -> Result<Vec<T>, EvaluatorError> {
        self.check_ts_length(ts)?;
        Ok(vec![T::half() * (ts.m.get_max() - ts.m.get_min())])
    }

    fn get_info(&self) -> &EvaluatorInfo {
        &AMPLITUDE_INFO
    }

    fn get_names(&self) -> Vec<&str> {
        vec!["amplitude"]
    }
}

#[cfg(test)]
#[allow(clippy::unreadable_literal)]
#[allow(clippy::excessive_precision)]
mod tests {
    use super::*;
    use crate::tests::*;

    eval_info_test!(amplitude_info, Amplitude::default());

    feature_test!(
        amplitude,
        [Box::new(Amplitude::new())],
        [1.0],
        [0.0_f32, 1.0, 2.0],
    );
}