forked from extern/nushell
# Description The math functions `avg`, `max`, `median`, `min`, `product`, `stddev`, `sum` and `variance` all takes a list as input and return a number. <https://github.com/nushell/nushell/blob/main/crates/nu-command/src/math/utils.rs> contains code that makes these functions work for tables (by running the function on each column), but this functionality has not been accessible because the input types are too strict. This PR remedies this. The functions should also work on records, since a record is basically a one-row table. Most of these functions also make sense for durations and file sizes, except `product` of course. There's an implementation issue with `stddev` and `variance` for durations and file sizes, but they could in principle support it. # User-Facing Changes This PR only adds supported types, and doesn't remove any, so there should be no breaking changes.
167 lines
4.8 KiB
Rust
167 lines
4.8 KiB
Rust
use std::cmp::Ordering;
|
|
|
|
use crate::math::avg::average;
|
|
use crate::math::utils::run_with_function;
|
|
use nu_protocol::ast::Call;
|
|
use nu_protocol::engine::{Command, EngineState, Stack};
|
|
use nu_protocol::{
|
|
record, Category, Example, PipelineData, ShellError, Signature, Span, Type, Value,
|
|
};
|
|
|
|
#[derive(Clone)]
|
|
pub struct SubCommand;
|
|
|
|
impl Command for SubCommand {
|
|
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(vec![]), Type::Record(vec![])),
|
|
(Type::Record(vec![]), Type::Record(vec![])),
|
|
])
|
|
.allow_variants_without_examples(true)
|
|
.category(Category::Math)
|
|
}
|
|
|
|
fn usage(&self) -> &str {
|
|
"Computes the median of a list of numbers."
|
|
}
|
|
|
|
fn search_terms(&self) -> Vec<&str> {
|
|
vec!["middle", "statistics"]
|
|
}
|
|
|
|
fn run(
|
|
&self,
|
|
_engine_state: &EngineState,
|
|
_stack: &mut Stack,
|
|
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 = vec![];
|
|
|
|
for item in values {
|
|
sorted.push(item.clone());
|
|
}
|
|
|
|
if let Some(Err(values)) = values
|
|
.windows(2)
|
|
.map(|elem| {
|
|
if elem[0].partial_cmp(&elem[1]).is_none() {
|
|
return Err(ShellError::OperatorMismatch {
|
|
op_span: head,
|
|
lhs_ty: elem[0].get_type().to_string(),
|
|
lhs_span: elem[0].span(),
|
|
rhs_ty: elem[1].get_type().to_string(),
|
|
rhs_span: elem[1].span(),
|
|
});
|
|
}
|
|
Ok(elem[0].partial_cmp(&elem[1]).unwrap_or(Ordering::Equal))
|
|
})
|
|
.find(|elem| elem.is_err())
|
|
{
|
|
return Err(values);
|
|
}
|
|
|
|
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;
|
|
let out = 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,
|
|
})?;
|
|
Ok(out.clone())
|
|
}
|
|
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,
|
|
})?
|
|
.clone();
|
|
|
|
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,
|
|
})?
|
|
.clone();
|
|
|
|
average(&[left, right], span, head)
|
|
}
|
|
}
|
|
}
|
|
|
|
#[cfg(test)]
|
|
mod test {
|
|
use super::*;
|
|
|
|
#[test]
|
|
fn test_examples() {
|
|
use crate::test_examples;
|
|
|
|
test_examples(SubCommand {})
|
|
}
|
|
}
|