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use super::{Image, ImageExtractRowColumn};
#[derive(Clone, Copy, Debug)]
pub enum HistogramPair {
None,
Item { count: u32, color: u8, ambiguous_score: u8 }
}
impl HistogramPair {
/// When there are +2 colors with same count. It's ambiguous which one to pick.
pub fn color_count_disallow_ambiguous(&self) -> Option<(u8, u32)> {
match self {
HistogramPair::Item { count, color, ambiguous_score } => {
if *ambiguous_score > 0 {
return None;
} else {
return Some((*color, *count));
}
},
HistogramPair::None => {
return None;
}
}
}
/// This is a weak function and should be avoided, since it ignores the number of ambiguous colors.
/// When multiple colors have the same count, then the color with the lowest color value is picked.
///
/// Instead the `color_count_disallow_ambiguous()` should be preferred, since it's more strict.
pub fn color_count_allow_ambiguous(&self) -> Option<(u8, u32)> {
match self {
HistogramPair::Item { count, color, ambiguous_score: _ } => {
return Some((*color, *count));
},
HistogramPair::None => {
return None;
}
}
}
/// When there are +2 colors with same count. It's ambiguous which one to pick.
pub fn color_disallow_ambiguous(&self) -> Option<u8> {
match self {
HistogramPair::Item { count: _, color, ambiguous_score } => {
if *ambiguous_score > 0 {
return None;
} else {
return Some(*color);
}
},
HistogramPair::None => {
return None;
}
}
}
/// This is a weak function and should be avoided, since it ignores the number of ambiguous colors.
/// When multiple colors have the same count, then the color with the lowest color value is picked.
///
/// Instead the `color_disallow_ambiguous()` should be preferred, since it's more strict.
pub fn color_allow_ambiguous(&self) -> Option<u8> {
match self {
HistogramPair::Item { count: _, color, ambiguous_score: _ } => {
return Some(*color);
},
HistogramPair::None => {
return None;
}
}
}
/// This is a weak function and should be avoided, since it ignores the number of ambiguous colors.
/// When multiple colors have the same count, then the color with the lowest color value is picked.
///
/// Instead the `color_count_disallow_ambiguous()` should be preferred, since it's more strict.
pub fn count_allow_ambiguous(&self) -> Option<u32> {
match self {
HistogramPair::Item { count, color: _, ambiguous_score: _ } => {
return Some(*count);
},
HistogramPair::None => {
return None;
}
}
}
}
/// Histogram with 256 counters
#[derive(Clone, Debug, Hash, PartialEq, Eq)]
pub struct Histogram {
counters: [u32; 256],
}
impl Histogram {
pub fn new() -> Self {
Self {
counters: [0; 256],
}
}
/// Initialize all counters to `count=1`.
#[allow(dead_code)]
pub fn one() -> Self {
Self {
counters: [1; 256],
}
}
#[allow(dead_code)]
pub fn reset(&mut self) {
self.counters = [0; 256];
}
#[allow(dead_code)]
pub fn counters(&self) -> &[u32; 256] {
&self.counters
}
/// Get the counter value for a color.
///
/// Example: Get the number of times that `color 42` occur in an image.
pub fn get(&self, index: u8) -> u32 {
self.counters[index as usize]
}
#[allow(dead_code)]
pub fn to_vec(&self) -> Vec<u32> {
self.counters.to_vec()
}
pub fn increment_pixel(&mut self, image: &Image, x: i32, y: i32) {
if let Some(pixel_value) = image.get(x, y) {
self.increment(pixel_value);
}
}
pub fn increment_by(&mut self, index: u8, increment: u32) {
let count: u32 = self.counters[index as usize];
self.counters[index as usize] = count + increment;
}
pub fn increment(&mut self, index: u8) {
self.increment_by(index, 1);
}
pub fn set_counter_to_zero(&mut self, index: u8) {
self.counters[index as usize] = 0;
}
#[allow(dead_code)]
pub fn set_counter_to_zero_where_count_is_below(&mut self, limit: u32) {
for i in 0..256 {
if self.counters[i] < limit {
self.counters[i] = 0;
}
}
}
pub fn add_histogram(&mut self, other: &Histogram) {
for i in 0..256 {
self.counters[i] += other.counters[i];
}
}
/// Multiply the counters with the counters of another histogram.
///
/// The counters are clamped to `u32::MAX`.
#[allow(dead_code)]
pub fn multiply_histogram(&mut self, other: &Histogram) {
for i in 0..256 {
let a: u64 = self.counters[i] as u64;
let b: u64 = other.counters[i] as u64;
let c: u64 = a * b;
self.counters[i] = c.min(u32::MAX as u64) as u32;
}
}
/// Finds the `intersection` between two histograms, similar to performing an `AND` operation.
///
/// The counter is `1` when the color is present in both histograms.
///
/// Otherwise the counter is `0`.
pub fn intersection_histogram(&mut self, other: &Histogram) {
for i in 0..256 {
let a: u32 = self.counters[i];
let b: u32 = other.counters[i];
let v: u32 = a.min(b).min(1);
self.counters[i] = v;
}
}
/// Finds the `intersection` between two histograms, similar to performing an `AND` operation.
///
/// The counter is `1` when the color is present in both histograms.
///
/// Otherwise the counter is `0`.
#[allow(dead_code)]
pub fn intersection(&self, other: &Histogram) -> Histogram {
let mut result: Histogram = self.clone();
result.intersection_histogram(other);
result
}
/// Clear counters where the other histogram has non-zero counters.
///
/// Performs an operation similar to: `self` AND NOT `other`.
pub fn subtract_histogram(&mut self, other: &Histogram) {
for i in 0..256 {
if other.counters[i] > 0 {
self.counters[i] = 0;
}
}
}
/// Extract the colors that are only present in `self`, and set their counters to `1`.
///
/// Performs an operation similar to: `self` AND NOT `other`.
pub fn subtract_clamp01(&self, other: &Histogram) -> Histogram {
let mut histogram: Histogram = self.clone();
histogram.subtract_histogram(other);
histogram.clamp01();
histogram
}
pub fn most_popular(&self) -> HistogramPair {
let mut found_count: u32 = 0;
let mut found_index: usize = 0;
let mut ambiguous_count: usize = 0;
for (index, number_of_occurrences) in self.counters.iter().enumerate() {
if *number_of_occurrences == found_count {
ambiguous_count += 1;
}
if *number_of_occurrences > found_count {
found_count = *number_of_occurrences;
found_index = index;
ambiguous_count = 0;
}
}
if found_count == 0 {
return HistogramPair::None;
}
let ambiguous_score: u8 = (ambiguous_count & 255) as u8;
let color_value: u8 = (found_index & 255) as u8;
HistogramPair::Item {
count: found_count,
color: color_value,
ambiguous_score
}
}
#[allow(dead_code)]
pub fn most_popular_pair_disallow_ambiguous(&self) -> Option<(u8, u32)> {
self.most_popular().color_count_disallow_ambiguous()
}
#[allow(dead_code)]
pub fn most_popular_pair(&self) -> Option<(u8, u32)> {
self.most_popular().color_count_allow_ambiguous()
}
#[allow(dead_code)]
pub fn most_popular_color(&self) -> Option<u8> {
self.most_popular().color_allow_ambiguous()
}
#[allow(dead_code)]
pub fn most_popular_color_disallow_ambiguous(&self) -> Option<u8> {
self.most_popular().color_disallow_ambiguous()
}
#[allow(dead_code)]
pub fn most_popular_count(&self) -> Option<u32> {
self.most_popular().count_allow_ambiguous()
}
pub fn least_popular(&self) -> HistogramPair {
let mut found_count: u32 = u32::MAX;
let mut found_index: usize = 0;
let mut ambiguous_count: usize = 0;
for (index, number_of_occurrences) in self.counters.iter().enumerate() {
if *number_of_occurrences == 0 {
continue;
}
if *number_of_occurrences == found_count {
ambiguous_count += 1;
}
if *number_of_occurrences < found_count {
found_count = *number_of_occurrences;
found_index = index;
ambiguous_count = 0;
}
}
if found_count == u32::MAX {
return HistogramPair::None;
}
let ambiguous_score: u8 = (ambiguous_count & 255) as u8;
let color_value: u8 = (found_index & 255) as u8;
HistogramPair::Item {
count: found_count,
color: color_value,
ambiguous_score
}
}
#[allow(dead_code)]
pub fn least_popular_pair_disallow_ambiguous(&self) -> Option<(u8, u32)> {
self.least_popular().color_count_disallow_ambiguous()
}
#[allow(dead_code)]
pub fn least_popular_pair(&self) -> Option<(u8, u32)> {
self.least_popular().color_count_allow_ambiguous()
}
#[allow(dead_code)]
pub fn least_popular_color_disallow_ambiguous(&self) -> Option<u8> {
self.least_popular().color_disallow_ambiguous()
}
#[allow(dead_code)]
pub fn least_popular_color(&self) -> Option<u8> {
self.least_popular().color_allow_ambiguous()
}
#[allow(dead_code)]
pub fn least_popular_count(&self) -> Option<u32> {
self.least_popular().count_allow_ambiguous()
}
/// The pairs ordered by their color value. Ignoring their count.
///
/// The lowest color value comes first.
///
/// The highest color value comes last.
pub fn pairs_ordered_by_color(&self) -> Vec<(u32,u8)> {
let mut pairs = Vec::<(u32, u8)>::with_capacity(256);
for (index, number_of_occurences) in self.counters.iter().enumerate() {
if *number_of_occurences > 0 {
pairs.push((*number_of_occurences, (index & 255) as u8));
}
}
pairs
}
/// The colors ordered by their color value. Ignoring their count.
///
/// The lowest color value comes first.
///
/// The highest color value comes last.
#[allow(dead_code)]
pub fn color_vec(&self) -> Vec<u8> {
self.pairs_ordered_by_color().iter().map(|pair| pair.1).collect()
}
/// The least frequent occurring comes first.
///
/// The medium frequent occurring comes middle.
///
/// The most frequent occurring comes last.
pub fn pairs_ascending(&self) -> Vec<(u32,u8)> {
let mut pairs = self.pairs_ordered_by_color();
pairs.sort();
pairs
}
/// The most frequent occurring comes first.
///
/// The medium frequent occurring comes middle.
///
/// The least frequent occurring are at the end.
pub fn pairs_descending(&self) -> Vec<(u32,u8)> {
let mut pairs = self.pairs_ascending();
pairs.reverse();
pairs
}
/// Number of counters that are greater than zero.
///
/// The returned value is in the range `[0..256]`.
/// - Returns `0` when all of the 256 counters are zero.
/// - Returns `256` when all of the 256 counters are non-zero.
pub fn number_of_counters_greater_than_zero(&self) -> u16 {
let mut count: u32 = 0;
for number_of_occurences in &self.counters {
if *number_of_occurences > 0 {
count += 1;
}
}
count.min(256) as u16
}
/// Returns an `Image` where `width` is the number of counters greater than zero, and `height=2`.
///
/// The top row is the counter values, clamped to 255. None of the counters are zero.
///
/// The bottom row is the color values.
///
/// The most popular colors are to the left side.
///
/// The least popular colors are to the right side.
pub fn to_image(&self) -> anyhow::Result<Image> {
let pairs: Vec<(u32, u8)> = self.pairs_descending();
let mut image = Image::zero(pairs.len() as u8, 2);
for (index, pair) in pairs.iter().enumerate() {
let clamped_count: u8 = u32::min(pair.0, u8::max as u32) as u8;
let color: u8 = pair.1;
match image.set(index as i32, 0, clamped_count) {
Some(()) => {},
None => {
return Err(anyhow::anyhow!("Histogram.to_image: Unable to set pixel ({}, {})", index, 0));
}
}
match image.set(index as i32, 1, color) {
Some(()) => {},
None => {
return Err(anyhow::anyhow!("Histogram.to_image: Unable to set pixel ({}, {})", index, 1));
}
}
}
Ok(image)
}
/// Returns an `Image` where `width` is the number of counters greater than zero, and `height=1`.
///
/// The most popular colors are to the left side.
///
/// The least popular colors are to the right side.
pub fn color_image(&self) -> anyhow::Result<Image> {
let image: Image = self.to_image()?;
let image: Image = image.bottom_rows(1)?;
Ok(image)
}
/// Find the lowest available color, that is not used in the histogram
pub fn unused_color(&self) -> Option<u8> {
for index in 0..=255u8 {
if self.counters[index as usize] == 0 {
return Some(index);
}
}
None
}
/// Add all the counters together.
///
/// Usecase: Compute the mass of a multicolored object.
pub fn sum(&self) -> u32 {
self.counters.iter().sum()
}
/// Make sure that no counters exceeds the range `[0..1]`.
///
/// All zero counters stays with a zero value.
///
/// All non-zero counters are set to 1.
#[allow(dead_code)]
pub fn clamp01(&mut self) {
for i in 0..256 {
self.counters[i] = self.counters[i].min(1);
}
}
/// Compare `color` and `count` of two histograms.
///
/// Returns `true` if both histograms are identical, both `colors` and `counts`.
///
/// Returns `false` when they are different.
#[allow(dead_code)]
pub fn is_same_color_and_count(&self, other: &Histogram) -> bool {
for i in 0..256 {
if self.counters[i] != other.counters[i] {
return false;
}
}
true
}
/// Compare `color` of two histograms.
///
/// Returns `true` if both histograms contains identical colors, but ignore the `count` component.
///
/// Returns `false` when they are different.
#[allow(dead_code)]
pub fn is_same_color_but_ignore_count(&self, other: &Histogram) -> bool {
for i in 0..256 {
if (self.counters[i] > 0) != (other.counters[i] > 0) {
return false;
}
}
true
}
/// Compare `count` of two histograms.
///
/// Returns `true` if both histograms contains identical counters, but ignore the `color` component.
///
/// Returns `false` when they are different.
#[allow(dead_code)]
pub fn is_same_count_but_ignore_color(&self, other: &Histogram) -> bool {
let mut counters0: [u32; 256] = self.counters.clone();
counters0.sort();
let mut counters1: [u32; 256] = other.counters.clone();
counters1.sort();
counters0 == counters1
}
/// Compare two histograms, returns `true` if they have one or more colors in common.
///
/// Returns `false` when they have no colors in common.
#[allow(dead_code)]
pub fn is_overlap(&self, other: &Histogram) -> bool {
for i in 0..256 {
if (self.counters[i] > 0) && (other.counters[i] > 0) {
return true;
}
}
false
}
}
#[cfg(test)]
mod tests {
use super::*;
use crate::arc::ImageTryCreate;
use std::collections::HashSet;
#[test]
fn test_10000_one() {
// Arrange + Act
let mut h = Histogram::one();
h.increment(3);
// Assert
let counters = h.counters();
assert_eq!(counters[42], 1);
assert_eq!(counters[3], 2);
}
#[test]
fn test_11000_increment() {
// Arrange
let mut h = Histogram::new();
// Act
h.increment(42);
h.increment(42);
h.increment(3);
// Assert
let counters = h.counters();
assert_eq!(counters[42], 2);
assert_eq!(counters[3], 1);
}
#[test]
fn test_20000_most_popular_pair_disallow_ambiguous_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(42);
h.increment(3);
h.increment(3);
h.increment(3);
h.increment(2);
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, Some((3,3)));
}
#[test]
fn test_20001_most_popular_pair_disallow_ambiguous_none_due_to_ambiguous() {
// Arrange
let mut h = Histogram::new();
h.increment(1);
h.increment(42);
h.increment(42);
h.increment(3);
h.increment(3);
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_20002_most_popular_pair_disallow_ambiguous_none() {
// Arrange
let h = Histogram::new();
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_30000_most_popular_pair_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(42);
h.increment(3);
h.increment(3);
h.increment(3);
h.increment(2);
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair();
// Assert
assert_eq!(color_count, Some((3,3)));
}
#[test]
fn test_30001_most_popular_pair_some_lowest_value_due_to_ambiguous_colors() {
// Arrange
let mut h = Histogram::new();
h.increment(1);
h.increment(42);
h.increment(42);
h.increment(3);
h.increment(3);
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair();
// Assert
assert_eq!(color_count, Some((3,2)));
}
#[test]
fn test_30002_most_popular_pair_none() {
// Arrange
let h = Histogram::new();
// Act
let color_count: Option<(u8, u32)> = h.most_popular_pair();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_30003_most_popular_color_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(42);
h.increment(9);
h.increment(9);
h.increment(9);
h.increment(2);
// Act
let color: Option<u8> = h.most_popular_color();
// Assert
assert_eq!(color, Some(9));
}
#[test]
fn test_30004_most_popular_color_none() {
// Arrange
let h = Histogram::new();
// Act
let color: Option<u8> = h.most_popular_color();
// Assert
assert_eq!(color, None);
}
#[test]
fn test_30005_most_popular_count_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(42);
h.increment(9);
h.increment(9);
h.increment(9);
h.increment(2);
// Act
let count: Option<u32> = h.most_popular_count();
// Assert
assert_eq!(count, Some(3));
}
#[test]
fn test_30006_most_popular_count_none() {
// Arrange
let h = Histogram::new();
// Act
let count: Option<u32> = h.most_popular_count();
// Assert
assert_eq!(count, None);
}
#[test]
fn test_50000_least_popular_pair_disallow_ambiguous_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(3);
h.increment(2);
h.increment(3);
h.increment(42);
h.increment(3);
// Act
let color_count: Option<(u8, u32)> = h.least_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, Some((2,1)));
}
#[test]
fn test_50001_least_popular_pair_disallow_ambiguous_none_due_to_ambiguous() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(3);
h.increment(3);
h.increment(42);
// Act
let color_count: Option<(u8, u32)> = h.least_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_50002_least_popular_pair_disallow_ambiguous_none() {
// Arrange
let h = Histogram::new();
// Act
let color_count: Option<(u8, u32)> = h.least_popular_pair_disallow_ambiguous();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_50003_least_popular_pair_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(3);
h.increment(2);
h.increment(3);
h.increment(42);
h.increment(3);
// Act
let color_count: Option<(u8, u32)> = h.least_popular_pair();
// Assert
assert_eq!(color_count, Some((2,1)));
}
#[test]
fn test_50004_least_popular_pair_none() {
// Arrange
let h = Histogram::new();
// Act
let color_count: Option<(u8, u32)> = h.least_popular_pair();
// Assert
assert_eq!(color_count, None);
}
#[test]
fn test_50005_least_popular_color_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(3);
h.increment(2);
h.increment(3);
h.increment(42);
h.increment(3);
// Act
let color: Option<u8> = h.least_popular_color();
// Assert
assert_eq!(color, Some(2));
}
#[test]
fn test_50006_least_popular_color_none() {
// Arrange
let h = Histogram::new();
// Act
let color: Option<u8> = h.least_popular_color();
// Assert
assert_eq!(color, None);
}
#[test]
fn test_50007_least_popular_count_some() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(3);
h.increment(2);
h.increment(3);
h.increment(42);
h.increment(3);
// Act
let count: Option<u32> = h.least_popular_count();
// Assert
assert_eq!(count, Some(1));
}
#[test]
fn test_50008_least_popular_count_none() {
// Arrange
let h = Histogram::new();
// Act
let count: Option<u32> = h.least_popular_count();
// Assert
assert_eq!(count, None);
}
#[test]
fn test_50000_pairs_ordered_by_color() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 8] = [3, 42, 42, 3, 2, 3, 4, 5];
for value in values {
h.increment(value);
}
// Act
let pairs: Vec<(u32, u8)> = h.pairs_ordered_by_color();
// Assert
let expected: Vec<(u32, u8)> = vec![(1, 2), (3, 3), (1, 4), (1, 5), (2, 42)];
assert_eq!(pairs, expected);
}
#[test]
fn test_50001_color_vec() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 8] = [3, 42, 42, 3, 2, 3, 4, 5];
for value in values {
h.increment(value);
}
// Act
let actual: Vec<u8> = h.color_vec();
// Assert
let expected: Vec<u8> = vec![2, 3, 4, 5, 42];
assert_eq!(actual, expected);
}
#[test]
fn test_50002_pairs_descending() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 12] = [3, 1, 1, 42, 7, 42, 7, 3, 2, 3, 4, 5];
for value in values {
h.increment(value);
}
// Act
let pairs: Vec<(u32, u8)> = h.pairs_descending();
// Assert
let expected: Vec<(u32, u8)> = vec![(3, 3), (2, 42), (2, 7), (2, 1), (1, 5), (1, 4), (1, 2)];
assert_eq!(pairs, expected);
}
#[test]
fn test_50003_pairs_ascending() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 12] = [3, 1, 1, 42, 7, 42, 7, 3, 2, 3, 4, 5];
for value in values {
h.increment(value);
}
// Act
let pairs: Vec<(u32, u8)> = h.pairs_ascending();
// Assert
let expected: Vec<(u32, u8)> = vec![(1, 2), (1, 4), (1, 5), (2, 1), (2, 7), (2, 42), (3, 3)];
assert_eq!(pairs, expected);
}
#[test]
fn test_60000_increment_pixel_out_of_bounds() {
// Arrange
let pixels: Vec<u8> = vec![
1, 2,
3, 4,
];
let image: Image = Image::try_create(2, 2, pixels).expect("image");
let mut h = Histogram::new();
// Arrange
h.increment_pixel(&image, -1, -1);
h.increment_pixel(&image, 2, 0);
h.increment_pixel(&image, 0, 2);
h.increment_pixel(&image, 50, 50);
// Assert
let pairs = h.pairs_descending();
assert_eq!(pairs.is_empty(), true);
}
#[test]
fn test_70000_number_of_counters_greater_than_zero_empty() {
let h = Histogram::new();
let actual: u16 = h.number_of_counters_greater_than_zero();
assert_eq!(actual, 0);
}
#[test]
fn test_70001_number_of_counters_greater_than_zero_some() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 8] = [3, 42, 42, 3, 2, 3, 4, 5];
for value in values {
h.increment(value);
}
// Act
let actual: u16 = h.number_of_counters_greater_than_zero();
// Assert
assert_eq!(actual, 5);
}
#[test]
fn test_70002_number_of_counters_greater_than_zero_all() {
// Arrange
let mut h = Histogram::new();
for i in 0..=255 {
h.increment(i);
}
// Act
let actual: u16 = h.number_of_counters_greater_than_zero();
// Assert
assert_eq!(actual, 256);
}
#[test]
fn test_80000_to_image() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 10] = [0, 0, 1, 1, 1, 9, 9, 5, 3, 3];
for value in values {
h.increment(value);
}
// Act
let actual: Image = h.to_image().expect("image");
// Assert
let expected_pixels: Vec<u8> = vec![
3, 2, 2, 2, 1,
1, 9, 3, 0, 5,
];
let expected_image: Image = Image::try_create(5, 2, expected_pixels).expect("image");
assert_eq!(actual, expected_image);
}
#[test]
fn test_80001_to_image_empty() {
let h = Histogram::new();
let actual: Image = h.to_image().expect("image");
assert_eq!(actual, Image::empty());
}
#[test]
fn test_90000_color_image() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 10] = [0, 0, 1, 1, 1, 9, 9, 5, 3, 3];
for value in values {
h.increment(value);
}
// Act
let actual: Image = h.color_image().expect("image");
// Assert
let expected_pixels: Vec<u8> = vec![
1, 9, 3, 0, 5,
];
let expected_image: Image = Image::try_create(5, 1, expected_pixels).expect("image");
assert_eq!(actual, expected_image);
}
#[test]
fn test_90001_color_image_empty() {
let h = Histogram::new();
let actual: Image = h.color_image().expect("image");
assert_eq!(actual, Image::empty());
}
#[test]
fn test_100000_unused_color_some() {
// Arrange
let mut h = Histogram::new();
let values: [u8; 11] = [0, 0, 2, 1, 1, 1, 9, 9, 5, 3, 3];
for value in values {
h.increment(value);
}
// Act
let actual: Option<u8> = h.unused_color();
// Assert
assert_eq!(actual, Some(4));
}
#[test]
fn test_100001_unused_color_none() {
// Arrange
let mut h = Histogram::new();
for value in 0..=255u8 {
h.increment(value);
}
// Act
let actual: Option<u8> = h.unused_color();
// Assert
assert_eq!(actual, None);
}
#[test]
fn test_110000_add_histogram() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(42, 2);
h0.increment(9);
let mut h1 = Histogram::new();
h1.increment_by(42, 3);
h1.increment_by(11, 2);
// Act
let mut h: Histogram = h0.clone();
h.add_histogram(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_descending();
let expected: Vec<(u32, u8)> = vec![(5, 42), (2, 11), (1, 9)];
assert_eq!(pairs, expected);
}
#[test]
fn test_120000_multiply_histogram() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(2, 1);
h0.increment_by(3, 10);
h0.increment_by(4, 100);
h0.increment_by(5, 42);
let mut h1 = Histogram::new();
h1.increment_by(2, 100);
h1.increment_by(3, 10);
h1.increment_by(4, 1);
h1.increment_by(8, 42);
// Act
let mut h: Histogram = h0.clone();
h.multiply_histogram(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_ordered_by_color();
let expected: Vec<(u32, u8)> = vec![(100, 2), (100, 3), (100, 4)];
assert_eq!(pairs, expected);
}
#[test]
fn test_130000_intersection_histogram() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(5);
h0.increment(9);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(42);
h1.increment(5);
h1.increment(0);
// Act
let mut h: Histogram = h0.clone();
h.intersection_histogram(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_descending();
let expected: Vec<(u32, u8)> = vec![(1, 42), (1, 5)];
assert_eq!(pairs, expected);
}
#[test]
fn test_130001_intersection() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(5);
h0.increment(9);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(42);
h1.increment(5);
h1.increment(0);
// Act
let h: Histogram = h0.intersection(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_descending();
let expected: Vec<(u32, u8)> = vec![(1, 42), (1, 5)];
assert_eq!(pairs, expected);
}
#[test]
fn test_140000_subtract_histogram() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(5);
h0.increment(9);
h0.increment(13);
h0.increment(13);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(42);
h1.increment(5);
h1.increment(0);
// Act
let mut h: Histogram = h0.clone();
h.subtract_histogram(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_descending();
let expected: Vec<(u32, u8)> = vec![(2, 13), (1, 9)];
assert_eq!(pairs, expected);
}
#[test]
fn test_140001_subtract_clamp01() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(5);
h0.increment(9);
h0.increment(13);
h0.increment(13);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(42);
h1.increment(5);
h1.increment(0);
// Act
let h: Histogram = h0.subtract_clamp01(&h1);
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_descending();
let expected: Vec<(u32, u8)> = vec![(1, 13), (1, 9)];
assert_eq!(pairs, expected);
}
#[test]
fn test_150000_is_equal_yes() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(3);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(3);
// Act Assert
assert_eq!(h0, h1);
}
#[test]
fn test_150001_is_equal_yes() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(3);
h0.increment(3);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(3);
// Act Assert
assert_ne!(h0, h1);
}
#[test]
fn test_160000_hash() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
h0.increment(42);
h0.increment(3);
h0.increment(3);
let mut h1 = Histogram::new();
h1.increment(42);
h1.increment(42);
h1.increment(3);
// Act
let mut set = HashSet::<Histogram>::new();
set.insert(h0);
set.insert(h1);
// Assert
assert_eq!(set.len(), 2);
}
#[test]
fn test_160001_hash() {
// Arrange
let mut h0 = Histogram::new();
h0.increment(42);
let mut h1 = Histogram::new();
h1.increment(42);
// Act
let mut set = HashSet::<Histogram>::new();
set.insert(h0);
set.insert(h1);
// Assert
assert_eq!(set.len(), 1);
}
#[test]
fn test_170000_sum() {
// Arrange
let mut h = Histogram::new();
h.increment(42);
h.increment(42);
h.increment(3);
h.increment(3);
h.increment(3);
// Act
let actual: u32 = h.sum();
// Assert
assert_eq!(actual, 5);
}
#[test]
fn test_180000_clamp01() {
// Arrange
let mut h = Histogram::new();
h.increment_by(42, 2);
h.increment_by(3, 7);
h.increment(8);
// Act
h.clamp01();
// Assert
let pairs: Vec<(u32, u8)> = h.pairs_ordered_by_color();
let expected: Vec<(u32, u8)> = vec![(1, 3), (1, 8), (1, 42)];
assert_eq!(pairs, expected);
}
#[test]
fn test_190000_is_same_color_and_count() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(42, 2);
h0.increment_by(3, 7);
h0.increment(8);
let mut h1: Histogram = h0.clone();
h1.increment(8);
// Act + Assert
assert_eq!(h0.is_same_color_and_count(&h0), true);
assert_eq!(h0.is_same_color_and_count(&h1), false);
}
#[test]
fn test_200000_is_same_color_but_ignore_count() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(42, 2);
h0.increment_by(3, 7);
h0.increment(8);
let mut h1: Histogram = h0.clone();
h1.increment(8);
let mut h2: Histogram = h0.clone();
h2.increment(9);
// Act + Assert
assert_eq!(h0.is_same_color_but_ignore_count(&h0), true);
assert_eq!(h0.is_same_color_but_ignore_count(&h1), true);
assert_eq!(h0.is_same_color_but_ignore_count(&h2), false);
}
#[test]
fn test_210000_is_same_color_but_ignore_count() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(42, 2);
h0.increment_by(3, 7);
let mut h1: Histogram = h0.clone();
h1.increment(8);
let mut h2: Histogram = h0.clone();
h2.increment(9);
// Act + Assert
assert_eq!(h0.is_same_count_but_ignore_color(&h0), true);
assert_eq!(h0.is_same_count_but_ignore_color(&h1), false);
assert_eq!(h0.is_same_count_but_ignore_color(&h2), false);
assert_eq!(h1.is_same_count_but_ignore_color(&h2), true);
}
#[test]
fn test_220000_is_overlap_true() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(3, 7);
h0.increment_by(42, 2);
let mut h1: Histogram = Histogram::new();
h1.increment(8);
h1.increment(42);
h1.increment(99);
// Act + Assert
assert_eq!(h0.is_overlap(&h0), true);
assert_eq!(h0.is_overlap(&h1), true);
assert_eq!(h1.is_overlap(&h1), true);
}
#[test]
fn test_220001_is_overlap_false() {
// Arrange
let mut h0 = Histogram::new();
h0.increment_by(3, 7);
h0.increment_by(5, 2);
let mut h1: Histogram = Histogram::new();
h1.increment(8);
h1.increment(42);
h1.increment(99);
// Act + Assert
assert_eq!(h0.is_overlap(&h0), true);
assert_eq!(h0.is_overlap(&h1), false);
assert_eq!(h1.is_overlap(&h1), true);
}
}