stats/

minmax.rs

#![allow(clippy::cast_lossless)]
use serde::{Deserialize, Serialize};
use std::cmp::Ordering;
use std::fmt;

use crate::Commute;

/// Represents the current sort order of the data.
#[derive(Clone, Copy, Debug, PartialEq, Eq, Deserialize, Serialize)]
pub enum SortOrder {
    Unsorted,
    Ascending,
    Descending,
}

/// A commutative data structure for tracking minimum and maximum values
/// and detecting sort order in a stream of data.
#[derive(Clone, Copy, Deserialize, Serialize, Eq, PartialEq)]
pub struct MinMax<T> {
    // Hot fields: accessed on every add() call, grouped on same cache line.
    // `last_value` is read+written on every call; keep it adjacent to `len`.
    len: u32,
    ascending_pairs: u32,
    descending_pairs: u32,
    last_value: Option<T>,
    // Warm fields: accessed conditionally (min/max only on updates, first_value only at len==1).
    min: Option<T>,
    max: Option<T>,
    first_value: Option<T>,
}

impl<T: PartialOrd + Clone> MinMax<T> {
    /// Create an empty state where min and max values do not exist.
    #[must_use]
    pub fn new() -> MinMax<T> {
        Default::default()
    }

    /// Add a sample to the data and track min/max, the sort order & "sortiness".
    #[inline(always)]
    pub fn add(&mut self, sample: T) {
        match self.len {
            // this comes first because it's the most common case
            2.. => {
                // SAFETY: len >= 2 implies last_value, min, max are all Some
                // (set during the len == 0 and len == 1 branches below).
                let last = unsafe { self.last_value.as_ref().unwrap_unchecked() };
                if sample >= *last {
                    self.ascending_pairs += 1;
                    // Invariant: max >= last, so sample >= last means sample
                    // may exceed max, but can never go below min.
                    let max = unsafe { self.max.as_mut().unwrap_unchecked() };
                    if sample > *max {
                        max.clone_from(&sample);
                    }
                } else if sample < *last {
                    self.descending_pairs += 1;
                    // Invariant: min <= last, so sample < last means sample
                    // may drop below min, but can never exceed max.
                    let min = unsafe { self.min.as_mut().unwrap_unchecked() };
                    if sample < *min {
                        min.clone_from(&sample);
                    }
                } else {
                    // Neither >= nor < — either sample or `last` is NaN.
                    // Fall back to checking both min and max so that a real
                    // value following a NaN-valued `last` can still update them.
                    let min = unsafe { self.min.as_mut().unwrap_unchecked() };
                    if sample < *min {
                        min.clone_from(&sample);
                    } else {
                        let max = unsafe { self.max.as_mut().unwrap_unchecked() };
                        if sample > *max {
                            max.clone_from(&sample);
                        }
                    }
                }
                // SAFETY: len >= 2 implies last_value is Some.
                *unsafe { self.last_value.as_mut().unwrap_unchecked() } = sample;
                self.len += 1;
                return;
            }
            0 => {
                // first sample - clone for first_value/min/last_value, move to max.
                // Setting last_value here upholds the "len >= 1 ⇒ last_value is Some"
                // invariant relied on by the len >= 2 fast path (including after
                // Commute::merge propagates v.last_value into self).
                self.first_value = Some(sample.clone());
                self.min = Some(sample.clone());
                self.last_value = Some(sample.clone());
                self.max = Some(sample);
                self.len = 1;
                return;
            }
            1 => {
                // second sample
                if let Some(ref first) = self.first_value {
                    match sample.partial_cmp(first) {
                        Some(Ordering::Greater | Ordering::Equal) => self.ascending_pairs = 1,
                        Some(Ordering::Less) => self.descending_pairs = 1,
                        None => {}
                    }
                }
            }
        }

        // Cold path (len == 1): update min/max independently since the
        // `min <= last <= max` invariant is not yet established.
        if self.min.as_ref().is_none_or(|v| &sample < v) {
            self.min = Some(sample.clone());
        } else if self.max.as_ref().is_none_or(|v| &sample > v) {
            self.max = Some(sample.clone());
        }

        // Update last value and number of samples
        self.last_value = Some(sample);
        self.len += 1;
    }

    /// Add a sample by reference, only cloning when necessary to update
    /// min, max, `first_value`, or `last_value`.
    ///
    /// This is more efficient than `add()` when the caller has a reference
    /// and most samples don't update min/max, because it avoids the upfront
    /// allocation that `add()` requires from the caller.
    ///
    /// For `last_value`, the existing allocation is reused when possible
    /// by clearing and cloning into it rather than replacing.
    #[inline(always)]
    pub fn add_ref(&mut self, sample: &T) {
        match self.len {
            2.. => {
                // SAFETY: len >= 2 implies last_value, min, max are all Some.
                let last = unsafe { self.last_value.as_ref().unwrap_unchecked() };
                if *sample >= *last {
                    self.ascending_pairs += 1;
                    let max = unsafe { self.max.as_mut().unwrap_unchecked() };
                    if *sample > *max {
                        max.clone_from(sample);
                    }
                } else if *sample < *last {
                    self.descending_pairs += 1;
                    let min = unsafe { self.min.as_mut().unwrap_unchecked() };
                    if *sample < *min {
                        min.clone_from(sample);
                    }
                } else {
                    // NaN recovery path (see `add` for details).
                    let min = unsafe { self.min.as_mut().unwrap_unchecked() };
                    if *sample < *min {
                        min.clone_from(sample);
                    } else {
                        let max = unsafe { self.max.as_mut().unwrap_unchecked() };
                        if *sample > *max {
                            max.clone_from(sample);
                        }
                    }
                }
                // SAFETY: len >= 2 implies last_value is Some; reuse its allocation.
                unsafe { self.last_value.as_mut().unwrap_unchecked() }.clone_from(sample);
                self.len += 1;
                return;
            }
            0 => {
                // See `add`: set last_value here too so the len >= 2 fast path's
                // invariant survives Commute::merge of a single-element state.
                self.first_value = Some(sample.clone());
                self.min = Some(sample.clone());
                self.max = Some(sample.clone());
                self.last_value = Some(sample.clone());
                self.len = 1;
                return;
            }
            1 => {
                if let Some(ref first) = self.first_value {
                    match sample.partial_cmp(first) {
                        Some(Ordering::Greater | Ordering::Equal) => self.ascending_pairs = 1,
                        Some(Ordering::Less) => self.descending_pairs = 1,
                        None => {}
                    }
                }
            }
        }

        // Cold path (len == 1): update min/max independently.
        if self.min.as_ref().is_none_or(|v| sample < v) {
            self.min = Some(sample.clone());
        } else if self.max.as_ref().is_none_or(|v| sample > v) {
            self.max = Some(sample.clone());
        }

        // Update last value - clone_from reuses existing allocation
        if let Some(ref mut last) = self.last_value {
            last.clone_from(sample);
        } else {
            self.last_value = Some(sample.clone());
        }
        self.len += 1;
    }

    /// Returns the minimum of the data set.
    ///
    /// `None` is returned if and only if the number of samples is `0`.
    #[inline]
    #[must_use]
    pub const fn min(&self) -> Option<&T> {
        self.min.as_ref()
    }

    /// Returns the maximum of the data set.
    ///
    /// `None` is returned if and only if the number of samples is `0`.
    #[inline]
    #[must_use]
    pub const fn max(&self) -> Option<&T> {
        self.max.as_ref()
    }

    /// Returns the number of data points.
    #[inline]
    #[must_use]
    pub const fn len(&self) -> usize {
        self.len as usize
    }

    /// Returns true if there are no data points.
    #[inline]
    #[must_use]
    pub const fn is_empty(&self) -> bool {
        self.len == 0
    }

    /// Returns the current sort order of the data.
    #[inline]
    #[must_use]
    pub fn sort_order(&self) -> SortOrder {
        let sortiness = self.sortiness();
        // Use 1e-9 to handle floating point imprecision
        // don't use f64::EPSILON because it's too small
        if (sortiness - 1.0).abs() <= 1e-9 {
            SortOrder::Ascending
        } else if (sortiness + 1.0).abs() <= 1e-9 {
            SortOrder::Descending
        } else {
            SortOrder::Unsorted
        }
    }

    /// Calculates a "sortiness" score for the data, indicating how close it is to being sorted.
    ///
    /// Returns a value between -1.0 and 1.0:
    /// * 1.0 indicates perfectly ascending order
    /// * -1.0 indicates perfectly descending order
    /// * Values in between indicate the general tendency towards ascending or descending order
    /// * 0.0 indicates either no clear ordering or empty/single-element collections
    ///
    /// # Examples
    /// ```
    /// use stats::MinMax;
    ///
    /// let mut asc: MinMax<i32> = vec![1, 2, 3, 4, 5].into_iter().collect();
    /// assert_eq!(asc.sortiness(), 1.0);
    ///
    /// let mut desc: MinMax<i32> = vec![5, 4, 3, 2, 1].into_iter().collect();
    /// assert_eq!(desc.sortiness(), -1.0);
    ///
    /// let mut mostly_asc: MinMax<i32> = vec![1, 2, 4, 3, 5].into_iter().collect();
    /// assert!(mostly_asc.sortiness() > 0.0); // Positive but less than 1.0
    /// ```
    #[inline]
    #[must_use]
    pub fn sortiness(&self) -> f64 {
        if let 0 | 1 = self.len {
            0.0
        } else {
            let total_pairs = self.ascending_pairs + self.descending_pairs;
            if total_pairs == 0 {
                0.0
            } else {
                (self.ascending_pairs as f64 - self.descending_pairs as f64) / total_pairs as f64
            }
        }
    }
}

impl MinMax<Vec<u8>> {
    /// Add a byte slice sample, avoiding heap allocation when the value doesn't
    /// update min, max, or `first_value`. Only `last_value` is always updated
    /// (reusing its existing allocation via `clone_from`).
    ///
    /// This is significantly more efficient than `add(sample.to_vec())` for large
    /// datasets where most values don't update min/max — avoiding ~99% of
    /// allocations in the common case.
    #[inline(always)]
    pub fn add_bytes(&mut self, sample: &[u8]) {
        match self.len {
            2.. => {
                // SAFETY: len >= 2 implies last_value, min, max are all Some.
                // Vec<u8> comparisons are total, so there is no NaN path.
                let last = unsafe { self.last_value.as_ref().unwrap_unchecked() };
                if sample >= last.as_slice() {
                    self.ascending_pairs += 1;
                    let max = unsafe { self.max.as_mut().unwrap_unchecked() };
                    if sample > max.as_slice() {
                        max.clear();
                        max.extend_from_slice(sample);
                    }
                } else {
                    self.descending_pairs += 1;
                    let min = unsafe { self.min.as_mut().unwrap_unchecked() };
                    if sample < min.as_slice() {
                        min.clear();
                        min.extend_from_slice(sample);
                    }
                }
                // SAFETY: len >= 2 implies last_value is Some; reuse its allocation.
                let last_mut = unsafe { self.last_value.as_mut().unwrap_unchecked() };
                last_mut.clear();
                last_mut.extend_from_slice(sample);
                self.len += 1;
                return;
            }
            0 => {
                // See `add`: set last_value here too so the len >= 2 fast path's
                // invariant survives Commute::merge of a single-element state.
                let owned = sample.to_vec();
                self.first_value = Some(owned.clone());
                self.min = Some(owned.clone());
                self.last_value = Some(owned.clone());
                self.max = Some(owned);
                self.len = 1;
                return;
            }
            1 => {
                if let Some(ref first) = self.first_value {
                    match sample.partial_cmp(first.as_slice()) {
                        Some(Ordering::Greater | Ordering::Equal) => self.ascending_pairs = 1,
                        Some(Ordering::Less) => self.descending_pairs = 1,
                        None => {}
                    }
                }
            }
        }

        // Cold path (len == 1): update min/max independently.
        if self.min.as_ref().is_none_or(|v| sample < v.as_slice()) {
            self.min = Some(sample.to_vec());
        } else if self.max.as_ref().is_none_or(|v| sample > v.as_slice()) {
            self.max = Some(sample.to_vec());
        }

        // Update last value - reuse existing allocation
        if let Some(ref mut last) = self.last_value {
            last.clear();
            last.extend_from_slice(sample);
        } else {
            self.last_value = Some(sample.to_vec());
        }
        self.len += 1;
    }
}

impl<T: PartialOrd + Clone> Commute for MinMax<T> {
    #[inline]
    fn merge(&mut self, v: MinMax<T>) {
        if v.min.is_none() {
            return;
        }
        self.len += v.len;
        if self.min.is_none() || v.min < self.min {
            self.min = v.min;
        }
        if self.max.is_none() || v.max > self.max {
            self.max = v.max;
        }

        // Merge pair counts
        self.ascending_pairs += v.ascending_pairs;
        self.descending_pairs += v.descending_pairs;

        // Handle merging of first_value and last_value
        if self.first_value.is_none() {
            self.first_value.clone_from(&v.first_value);
        }
        if v.len > 0 {
            if let (Some(last), Some(v_first)) = (&self.last_value, &v.first_value) {
                match v_first.partial_cmp(last) {
                    Some(Ordering::Greater | Ordering::Equal) => self.ascending_pairs += 1,
                    Some(Ordering::Less) => self.descending_pairs += 1,
                    None => {}
                }
            }
            self.last_value = v.last_value;
        }
    }
}

impl<T: PartialOrd> Default for MinMax<T> {
    #[inline]
    fn default() -> MinMax<T> {
        MinMax {
            len: 0,
            ascending_pairs: 0,
            descending_pairs: 0,
            last_value: None,
            min: None,
            max: None,
            first_value: None,
        }
    }
}

impl<T: fmt::Debug> fmt::Debug for MinMax<T> {
    #[inline]
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        match (&self.min, &self.max) {
            (Some(min), Some(max)) => {
                let sort_status = if let 0 | 1 = self.len {
                    SortOrder::Unsorted
                } else {
                    let total_pairs = self.ascending_pairs + self.descending_pairs;
                    if total_pairs == 0 {
                        SortOrder::Unsorted
                    } else {
                        let sortiness = (self.ascending_pairs as f64
                            - self.descending_pairs as f64)
                            / total_pairs as f64;
                        match sortiness {
                            1.0 => SortOrder::Ascending,
                            -1.0 => SortOrder::Descending,
                            _ => SortOrder::Unsorted,
                        }
                    }
                };
                write!(f, "[{min:?}, {max:?}], sort_order: {sort_status:?}")
            }
            (&None, &None) => write!(f, "N/A"),
            _ => unreachable!(),
        }
    }
}

impl fmt::Display for SortOrder {
    #[inline]
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        match self {
            SortOrder::Unsorted => write!(f, "Unsorted"),
            SortOrder::Ascending => write!(f, "Ascending"),
            SortOrder::Descending => write!(f, "Descending"),
        }
    }
}

impl<T: PartialOrd + Clone> FromIterator<T> for MinMax<T> {
    #[inline]
    fn from_iter<I: IntoIterator<Item = T>>(it: I) -> MinMax<T> {
        let mut v = MinMax::new();
        v.extend(it);
        v
    }
}

impl<T: PartialOrd + Clone> Extend<T> for MinMax<T> {
    #[inline]
    fn extend<I: IntoIterator<Item = T>>(&mut self, it: I) {
        for sample in it {
            self.add(sample);
        }
    }
}

#[cfg(test)]
mod test {
    use super::{MinMax, SortOrder};
    use crate::Commute;

    #[test]
    fn minmax() {
        let minmax: MinMax<u32> = vec![1u32, 4, 2, 3, 10].into_iter().collect();
        assert_eq!(minmax.min(), Some(&1u32));
        assert_eq!(minmax.max(), Some(&10u32));
        assert_eq!(minmax.sort_order(), SortOrder::Unsorted);
    }

    #[test]
    fn minmax_sorted_ascending() {
        let minmax: MinMax<u32> = vec![1u32, 2, 3, 4, 5].into_iter().collect();
        assert_eq!(minmax.min(), Some(&1u32));
        assert_eq!(minmax.max(), Some(&5u32));
        assert_eq!(minmax.sort_order(), SortOrder::Ascending);
    }

    #[test]
    fn minmax_sorted_descending() {
        let minmax: MinMax<u32> = vec![5u32, 4, 3, 2, 1].into_iter().collect();
        assert_eq!(minmax.min(), Some(&1u32));
        assert_eq!(minmax.max(), Some(&5u32));
        assert_eq!(minmax.sort_order(), SortOrder::Descending);
    }

    #[test]
    fn minmax_empty() {
        let minmax: MinMax<u32> = MinMax::new();
        assert!(minmax.is_empty());
        assert_eq!(minmax.sort_order(), SortOrder::Unsorted);
    }

    #[test]
    fn minmax_merge_empty() {
        let mut mx1: MinMax<u32> = vec![1, 4, 2, 3, 10].into_iter().collect();
        assert_eq!(mx1.min(), Some(&1u32));
        assert_eq!(mx1.max(), Some(&10u32));
        assert_eq!(mx1.sort_order(), SortOrder::Unsorted);

        mx1.merge(MinMax::default());
        assert_eq!(mx1.min(), Some(&1u32));
        assert_eq!(mx1.max(), Some(&10u32));
        assert_eq!(mx1.sort_order(), SortOrder::Unsorted);
    }

    #[test]
    fn minmax_merge_diffsorts() {
        let mut mx1: MinMax<u32> = vec![1, 2, 2, 2, 3, 3, 4, 10].into_iter().collect();
        assert_eq!(mx1.min(), Some(&1u32));
        assert_eq!(mx1.max(), Some(&10u32));
        assert_eq!(mx1.sort_order(), SortOrder::Ascending);

        let mx2: MinMax<u32> = vec![5, 4, 3, 2, 1].into_iter().collect();
        assert_eq!(mx2.min(), Some(&1u32));
        assert_eq!(mx2.max(), Some(&5u32));
        assert_eq!(mx2.sort_order(), SortOrder::Descending);
        mx1.merge(mx2);
        assert_eq!(mx1.min(), Some(&1u32));
        assert_eq!(mx1.max(), Some(&10u32));
        assert_eq!(mx1.sort_order(), SortOrder::Unsorted);
    }

    #[test]
    fn minmax_merge_asc_sorts() {
        let mut mx1: MinMax<u32> = vec![2, 2, 2, 5, 10].into_iter().collect();
        assert_eq!(mx1.min(), Some(&2u32));
        assert_eq!(mx1.max(), Some(&10u32));
        assert_eq!(mx1.sort_order(), SortOrder::Ascending);

        let mx2: MinMax<u32> = vec![11, 14, 23, 32, 41].into_iter().collect();
        assert_eq!(mx2.min(), Some(&11u32));
        assert_eq!(mx2.max(), Some(&41u32));
        assert_eq!(mx2.sort_order(), SortOrder::Ascending);
        mx1.merge(mx2);
        assert_eq!(mx1.min(), Some(&2u32));
        assert_eq!(mx1.max(), Some(&41u32));
        assert_eq!(mx1.sort_order(), SortOrder::Ascending);
    }

    #[test]
    fn test_sortiness() {
        // Test empty
        let minmax: MinMax<u32> = MinMax::new();
        assert_eq!(minmax.sortiness(), 0.0);

        // Test single element
        let minmax: MinMax<u32> = vec![1].into_iter().collect();
        assert_eq!(minmax.sortiness(), 0.0);

        // Test perfectly ascending
        let minmax: MinMax<u32> = vec![1, 2, 3, 4, 5].into_iter().collect();
        assert_eq!(minmax.sortiness(), 1.0);

        // Test perfectly descending
        let minmax: MinMax<u32> = vec![5, 4, 3, 2, 1].into_iter().collect();
        assert_eq!(minmax.sortiness(), -1.0);

        // Test all equal
        let minmax: MinMax<u32> = vec![1, 1, 1, 1].into_iter().collect();
        assert_eq!(minmax.sortiness(), 1.0); // Equal pairs are considered ascending

        // Test mostly ascending
        let minmax: MinMax<u32> = vec![1, 2, 4, 3, 5].into_iter().collect();
        assert!(minmax.sortiness() > 0.0 && minmax.sortiness() < 1.0);
        assert_eq!(minmax.sortiness(), 0.5); // 2 ascending pairs, 1 descending pair

        // Test mostly descending
        let minmax: MinMax<u32> = vec![5, 4, 3, 4, 2].into_iter().collect();
        assert!(minmax.sortiness() < 0.0 && minmax.sortiness() > -1.0);
        assert_eq!(minmax.sortiness(), -0.5); // 1 ascending pair, 3 descending pairs
    }

    #[test]
    fn test_sortiness_merge() {
        let mut mx1: MinMax<u32> = vec![1, 2, 3].into_iter().collect();
        let mx2: MinMax<u32> = vec![4, 5, 6].into_iter().collect();
        assert_eq!(mx1.sortiness(), 1.0);
        assert_eq!(mx2.sortiness(), 1.0);

        mx1.merge(mx2);
        assert_eq!(mx1.sortiness(), 1.0); // Should remain perfectly sorted after merge

        let mut mx3: MinMax<u32> = vec![1, 2, 3].into_iter().collect();
        let mx4: MinMax<u32> = vec![2, 1, 0].into_iter().collect();
        mx3.merge(mx4);
        assert_eq!(mx3, vec![1, 2, 3, 2, 1, 0].into_iter().collect());
        assert!(mx3.sortiness() < 1.0); // Should show mixed sorting after merge
        assert_eq!(mx3.sortiness(), -0.2);
    }

    #[test]
    fn test_merge_single_into_empty() {
        let mut empty: MinMax<u32> = MinMax::default();
        let single: MinMax<u32> = vec![42].into_iter().collect();

        assert!(empty.first_value.is_none());
        assert!(empty.last_value.is_none());

        empty.merge(single);

        assert_eq!(empty.len(), 1);
        assert_eq!(empty.min(), Some(&42));
        assert_eq!(empty.max(), Some(&42));
        assert_eq!(empty.first_value, Some(42));
        // last_value == first_value for single-element MinMax: the invariant
        // "len >= 1 ⇒ last_value is Some" is required by the add() hot path,
        // which uses unwrap_unchecked when len >= 2 (reachable by merging a
        // single-element state into a multi-element one).
        assert_eq!(empty.last_value, Some(42));
    }

    #[test]
    fn test_merge_single_into_multi_then_add() {
        // Regression: merging a single-element MinMax into a multi-element
        // one must preserve the "len >= 1 ⇒ last_value is Some" invariant,
        // otherwise the next add() call would hit UB via unwrap_unchecked.
        let mut multi: MinMax<u32> = vec![1, 2, 3].into_iter().collect();
        let single: MinMax<u32> = vec![42].into_iter().collect();
        multi.merge(single);
        assert_eq!(multi.len(), 4);
        assert_eq!(multi.max(), Some(&42));
        assert!(multi.last_value.is_some());
        // Must not UB:
        multi.add(100);
        assert_eq!(multi.max(), Some(&100));
        assert_eq!(multi.len(), 5);
    }
}

#[test]
fn test_sortiness_simple_alphabetical() {
    let minmax: MinMax<String> = vec![
        "a".to_string(),
        "b".to_string(),
        "c".to_string(),
        "d".to_string(),
    ]
    .into_iter()
    .collect();
    assert_eq!(minmax.sortiness(), 1.0);
    assert_eq!(minmax.sort_order(), SortOrder::Ascending);

    let minmax: MinMax<String> = vec![
        "d".to_string(),
        "c".to_string(),
        "b".to_string(),
        "a".to_string(),
    ]
    .into_iter()
    .collect();
    assert_eq!(minmax.sortiness(), -1.0);
    assert_eq!(minmax.sort_order(), SortOrder::Descending);

    let minmax: MinMax<String> = vec![
        "a".to_string(),
        "b".to_string(),
        "c".to_string(),
        "a".to_string(),
    ]
    .into_iter()
    .collect();
    assert_eq!(minmax.sortiness(), 0.3333333333333333);
    assert_eq!(minmax.sort_order(), SortOrder::Unsorted);
}

#[cfg(test)]
mod test_nan_inf {
    use super::MinMax;

    #[test]
    fn test_minmax_nan() {
        let mut minmax = MinMax::new();
        minmax.add(1.0f64);
        minmax.add(f64::NAN);
        minmax.add(3.0f64);
        // NaN is unordered for PartialOrd, so it should not update min/max
        // and adding it should not panic.
        assert_eq!(minmax.min(), Some(&1.0f64));
        assert_eq!(minmax.max(), Some(&3.0f64));
    }

    #[test]
    fn test_minmax_infinity() {
        let mut minmax = MinMax::new();
        minmax.add(1.0f64);
        minmax.add(f64::INFINITY);
        minmax.add(f64::NEG_INFINITY);
        assert_eq!(minmax.min(), Some(&f64::NEG_INFINITY));
        assert_eq!(minmax.max(), Some(&f64::INFINITY));
    }

    #[test]
    fn test_minmax_only_infinities() {
        let mut minmax = MinMax::new();
        minmax.add(f64::INFINITY);
        minmax.add(f64::NEG_INFINITY);
        assert_eq!(minmax.min(), Some(&f64::NEG_INFINITY));
        assert_eq!(minmax.max(), Some(&f64::INFINITY));
        assert_eq!(minmax.len(), 2);
    }

    #[test]
    fn test_sortiness_with_infinity() {
        let minmax: MinMax<f64> = vec![1.0, 2.0, f64::INFINITY].into_iter().collect();
        assert_eq!(minmax.sortiness(), 1.0); // ascending including infinity
    }
}