light_curve_feature/features/
duration.rs

1use crate::evaluator::*;
2
3macro_const! {
4    const DOC: &str = r#"
5Time-series duration
6
7$$
8t_{N-1} - t_0.
9$$
10
11Note: cadence-dependent feature.
12
13- Depends on: **time**
14- Minimum number of observations: **1**
15- Number of features: **1**
16"#;
17}
18
19#[doc = DOC!()]
20#[derive(Clone, Default, Debug, Deserialize, Serialize, JsonSchema)]
21pub struct Duration {}
22
23impl Duration {
24    pub fn new() -> Self {
25        Self {}
26    }
27
28    pub const fn doc() -> &'static str {
29        DOC
30    }
31}
32
33lazy_info!(
34    DURATION_INFO,
35    Duration,
36    size: 1,
37    min_ts_length: 1,
38    t_required: true,
39    m_required: false,
40    w_required: false,
41    sorting_required: true,
42);
43
44impl FeatureNamesDescriptionsTrait for Duration {
45    fn get_names(&self) -> Vec<&str> {
46        vec!["duration"]
47    }
48
49    fn get_descriptions(&self) -> Vec<&str> {
50        vec!["time-series duration"]
51    }
52}
53
54impl<T> FeatureEvaluator<T> for Duration
55where
56    T: Float,
57{
58    fn eval(&self, ts: &mut TimeSeries<T>) -> Result<Vec<T>, EvaluatorError> {
59        self.check_ts_length(ts)?;
60        Ok(vec![ts.t.sample[ts.lenu() - 1] - ts.t.sample[0]])
61    }
62}
63
64#[cfg(test)]
65#[allow(clippy::unreadable_literal)]
66#[allow(clippy::excessive_precision)]
67mod tests {
68    use super::*;
69    use crate::tests::*;
70
71    check_feature!(Duration);
72
73    feature_test!(
74        duration,
75        [Duration::new()],
76        [4.0],
77        [0.0_f32, 1.0, 2.0, 3.0, 4.0],
78    );
79}
light_curve_feature/features/duration.rs

light_curve_feature/features/
duration.rs
