use crate::evaluator::*;
use conv::ConvUtil;
macro_const! {
const DOC: &str = r#"
Fraction of observations inside $\mathrm{Median}(m) \pm q \times (\max(m) - \min(m)) / 2$ interval
- Depends on: **magnitude**
- Minimum number of observations: **1**
- Number of features: **1**
D’Isanto et al. 2016 [DOI:10.1093/mnras/stw157](https://doi.org/10.1093/mnras/stw157)
"#;
}
#[doc = DOC!()]
#[cfg_attr(test, derive(PartialEq, Eq))]
#[derive(Clone, Debug, Serialize, Deserialize)]
#[serde(
into = "MedianBufferRangePercentageParameters<T>",
from = "MedianBufferRangePercentageParameters<T>",
bound = "T: Float"
)]
pub struct MedianBufferRangePercentage<T> {
quantile: T,
name: String,
description: String,
}
lazy_info!(
MEDIAN_BUFFER_RANGE_PERCENTAGE_INFO,
MedianBufferRangePercentage<T>,
T,
size: 1,
min_ts_length: 1,
t_required: false,
m_required: true,
w_required: false,
sorting_required: false,
);
impl<T> MedianBufferRangePercentage<T>
where
T: Float,
{
pub fn new(quantile: T) -> Self {
assert!(quantile > T::zero(), "Quanitle should be positive");
Self {
quantile,
name: format!(
"median_buffer_range_percentage_{:.0}",
T::hundred() * quantile
),
description: format!(
"fraction of observations which magnitudes differ from median by no more than \
{:.3e} of amplitude",
quantile,
),
}
}
pub fn set_name(&mut self, name: String) {
self.name = name;
}
#[inline]
pub fn default_quantile() -> T {
0.1_f32.value_as::<T>().unwrap()
}
}
impl<T> MedianBufferRangePercentage<T> {
pub fn doc() -> &'static str {
DOC
}
}
impl<T> Default for MedianBufferRangePercentage<T>
where
T: Float,
{
fn default() -> Self {
Self::new(Self::default_quantile())
}
}
impl<T> FeatureNamesDescriptionsTrait for MedianBufferRangePercentage<T>
where
T: Float,
{
fn get_names(&self) -> Vec<&str> {
vec![self.name.as_str()]
}
fn get_descriptions(&self) -> Vec<&str> {
vec![self.description.as_str()]
}
}
impl<T> FeatureEvaluator<T> for MedianBufferRangePercentage<T>
where
T: Float,
{
fn eval(&self, ts: &mut TimeSeries<T>) -> Result<Vec<T>, EvaluatorError> {
self.check_ts_length(ts)?;
let m_median = ts.m.get_median();
let amplitude = T::half() * (ts.m.get_max() - ts.m.get_min());
let threshold = self.quantile * amplitude;
let count_under = ts.m.sample.fold(0, |count, &m| {
let under = T::abs(m - m_median) < threshold;
count + u32::from(under)
});
Ok(vec![count_under.value_as::<T>().unwrap() / ts.lenf()])
}
}
#[derive(Serialize, Deserialize, JsonSchema)]
#[serde(rename = "MedianBufferRangePercentage")]
struct MedianBufferRangePercentageParameters<T> {
quantile: T,
}
impl<T> From<MedianBufferRangePercentage<T>> for MedianBufferRangePercentageParameters<T> {
fn from(f: MedianBufferRangePercentage<T>) -> Self {
Self {
quantile: f.quantile,
}
}
}
impl<T> From<MedianBufferRangePercentageParameters<T>> for MedianBufferRangePercentage<T>
where
T: Float,
{
fn from(p: MedianBufferRangePercentageParameters<T>) -> Self {
Self::new(p.quantile)
}
}
impl<T> JsonSchema for MedianBufferRangePercentage<T>
where
T: Float,
{
json_schema!(MedianBufferRangePercentageParameters<T>, false);
}
#[cfg(test)]
#[allow(clippy::unreadable_literal)]
#[allow(clippy::excessive_precision)]
mod tests {
use super::*;
use crate::tests::*;
use serde_test::{assert_tokens, Token};
check_feature!(MedianBufferRangePercentage<f64>);
feature_test!(
median_buffer_range_percentage,
[
MedianBufferRangePercentage::default(),
MedianBufferRangePercentage::new(0.1), MedianBufferRangePercentage::new(0.2),
],
[0.5555555555555556, 0.5555555555555556, 0.7777777777777778],
[1.0_f32, 41.0, 49.0, 49.0, 50.0, 51.0, 52.0, 58.0, 100.0],
);
feature_test!(
median_buffer_range_percentage_plateau,
[MedianBufferRangePercentage::default()],
[0.0],
[0.0; 10],
);
#[test]
fn serialization() {
const QUANTILE: f64 = 0.432;
let median_buffer_range_percentage = MedianBufferRangePercentage::new(QUANTILE);
assert_tokens(
&median_buffer_range_percentage,
&[
Token::Struct {
len: 1,
name: "MedianBufferRangePercentage",
},
Token::String("quantile"),
Token::F64(QUANTILE),
Token::StructEnd,
],
)
}
}