use crate::math::{avg::average, utils::run_with_function};
use nu_engine::command_prelude::*;
use std::cmp::Ordering;
#[derive(Clone)]
pub struct MathMedian;
impl Command for MathMedian {
fn name(&self) -> &str {
"math median"
}
fn signature(&self) -> Signature {
Signature::build("math median")
.input_output_types(vec![
(Type::List(Box::new(Type::Number)), Type::Number),
(Type::List(Box::new(Type::Duration)), Type::Duration),
(Type::List(Box::new(Type::Filesize)), Type::Filesize),
(Type::Range, Type::Number),
(Type::table(), Type::record()),
(Type::record(), Type::record()),
])
.allow_variants_without_examples(true)
.category(Category::Math)
}
fn description(&self) -> &str {
"Computes the median of a list of numbers."
}
fn search_terms(&self) -> Vec<&str> {
vec!["middle", "statistics"]
}
fn is_const(&self) -> bool {
true
}
fn run(
&self,
_engine_state: &EngineState,
_stack: &mut Stack,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
run_with_function(call, input, median)
}
fn run_const(
&self,
_working_set: &StateWorkingSet,
call: &Call,
input: PipelineData,
) -> Result<PipelineData, ShellError> {
run_with_function(call, input, median)
}
fn examples(&self) -> Vec<Example> {
vec![
Example {
description: "Compute the median of a list of numbers",
example: "[3 8 9 12 12 15] | math median",
result: Some(Value::test_float(10.5)),
},
Example {
description: "Compute the medians of the columns of a table",
example: "[{a: 1 b: 3} {a: 2 b: -1} {a: -3 b: 5}] | math median",
result: Some(Value::test_record(record! {
"a" => Value::test_int(1),
"b" => Value::test_int(3),
})),
},
Example {
description: "Find the median of a list of file sizes",
example: "[5KB 10MB 200B] | math median",
result: Some(Value::test_filesize(5 * 1_000)),
},
]
}
}
enum Pick {
MedianAverage,
Median,
}
pub fn median(values: &[Value], span: Span, head: Span) -> Result<Value, ShellError> {
let take = if values.len() % 2 == 0 {
Pick::MedianAverage
} else {
Pick::Median
};
let mut sorted = values
.iter()
.filter(|x| !x.as_float().is_ok_and(f64::is_nan))
.collect::<Vec<_>>();
sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(Ordering::Equal));
match take {
Pick::Median => {
let idx = (values.len() as f64 / 2.0).floor() as usize;
Ok(sorted
.get(idx)
.ok_or_else(|| ShellError::UnsupportedInput {
msg: "Empty input".to_string(),
input: "value originates from here".into(),
msg_span: head,
input_span: span,
})?
.to_owned()
.to_owned())
}
Pick::MedianAverage => {
let idx_end = values.len() / 2;
let idx_start = idx_end - 1;
let left = sorted
.get(idx_start)
.ok_or_else(|| ShellError::UnsupportedInput {
msg: "Empty input".to_string(),
input: "value originates from here".into(),
msg_span: head,
input_span: span,
})?
.to_owned()
.to_owned();
let right = sorted
.get(idx_end)
.ok_or_else(|| ShellError::UnsupportedInput {
msg: "Empty input".to_string(),
input: "value originates from here".into(),
msg_span: head,
input_span: span,
})?
.to_owned()
.to_owned();
average(&[left, right], span, head)
}
}
}
#[cfg(test)]
mod test {
use super::*;
#[test]
fn test_examples() {
use crate::test_examples;
test_examples(MathMedian {})
}
}