I want to calculate a vector's combination.
I am able to do it easily using itertools::Itertools:combinations
trait like this:
vec![1, 2, 3].iter().combinations(2).for_each(|x| {
println!("{:?}", x);
});
But I want to specify the combination lengths as well as counts of these lengths. As an example:
values = [0, 1, 2, 3, 4]
# 1 group with a length of 3 and 1 group with a length of 2
len_counts = { 3: 1, 2: 1 }
combinations = [
[{0, 1, 2}, {3, 4}]
[{0, 1, 3}, {2, 4}]
[{0, 1, 4}, {2, 3}]
[{0, 2, 3}, {1, 4}]
[{0, 2, 4}, {1, 3}]
[{0, 3, 4}, {1, 2}]
[{1, 2, 3}, {0, 4}]
[{1, 2, 4}, {0, 3}]
[{1, 3, 4}, {0, 2}]
[{2, 3, 4}, {0, 1}]
]
I want it to be lazy-loaded and as clean as possible. I tried to get this output for some time but couldn't succeed. Any help is appreciated.
Edit: The order of combinations and data structures used for representing the variables are not important.
CodePudding user response:
After a bunch of thought, I sadly wasn't able to come up with a clean and easy solution.
Nonetheless, I came up with a solution :) although it's quite messy, I'm afraid :D
use std::{collections::HashSet, iter::Peekable};
use itertools::{Combinations, Itertools};
// This struct is so we can `HashSet` by reference address.
// This prevents that `T` needs to be hashable.
struct GroupedCombinationsValue<'a, T>(&'a T);
impl<'a, T> GroupedCombinationsValue<'a, T> {
fn new(val: &'a T) -> Self {
Self(val)
}
}
impl<'a, T> std::hash::Hash for GroupedCombinationsValue<'a, T> {
fn hash<H: std::hash::Hasher>(&self, state: &mut H) {
std::ptr::hash(self.0, state);
}
}
impl<'a, T> PartialEq for GroupedCombinationsValue<'a, T> {
fn eq(&self, other: &Self) -> bool {
std::ptr::eq(self.0, other.0)
}
}
impl<'a, T> Clone for GroupedCombinationsValue<'a, T> {
fn clone(&self) -> Self {
Self(self.0)
}
}
impl<'a, T> Eq for GroupedCombinationsValue<'a, T> {}
struct GroupedCombinations<'a, T> {
values: HashSet<GroupedCombinationsValue<'a, T>>,
leftover_counts: &'a [usize],
iter: Peekable<Combinations<std::vec::IntoIter<&'a T>>>,
child_iter: Option<Box<GroupedCombinations<'a, T>>>,
}
impl<'a, T> GroupedCombinations<'a, T> {
fn new(values: Vec<&'a T>, counts: &'a [usize]) -> Self {
let count;
let leftover_counts;
if counts.len() == 0 {
count = 0;
leftover_counts = counts;
} else {
count = counts[0];
leftover_counts = &counts[1..];
}
let iter = values.clone().into_iter().combinations(count).peekable();
let values = values
.into_iter()
.map(GroupedCombinationsValue::new)
.collect::<HashSet<_>>();
Self {
values,
leftover_counts,
iter,
child_iter: None,
}
}
}
impl<'a, T> Iterator for GroupedCombinations<'a, T> {
type Item = Vec<Vec<&'a T>>;
fn next(&mut self) -> Option<Self::Item> {
let local_value = self.iter.peek()?;
if self.child_iter.is_none() && !self.leftover_counts.is_empty() {
let child_values = self
.values
.difference(
&local_value
.iter()
.cloned()
.map(GroupedCombinationsValue::new)
.collect(),
)
.map(|e| e.0)
.collect::<Vec<_>>();
self.child_iter = Some(Box::new(Self::new(child_values, self.leftover_counts)));
}
let mut result = vec![];
if !local_value.is_empty() {
result.extend_from_slice(&[local_value.clone()]);
}
if let Some(child_iter) = &mut self.child_iter {
match child_iter.next() {
Some(child_value) => {
result.extend(child_value);
Some(result)
}
None => {
self.child_iter = None;
self.iter.next();
self.next()
}
}
} else {
self.iter.next();
Some(result)
}
}
}
fn grouped_combinations<'a, T>(values: &'a [T], counts: &'a [usize]) -> GroupedCombinations<'a, T> {
GroupedCombinations::new(values.iter().collect(), counts)
}
fn main() {
let values = [0, 1, 2, 3, 4];
let counts = [3, 2];
let combinations = grouped_combinations(&values, &counts);
for combination in combinations {
println!("{:?}", combination);
}
}
[[0, 1, 2], [3, 4]]
[[0, 1, 3], [2, 4]]
[[0, 1, 4], [2, 3]]
[[0, 2, 3], [1, 4]]
[[0, 2, 4], [1, 3]]
[[0, 3, 4], [1, 2]]
[[1, 2, 3], [4, 0]]
[[1, 2, 4], [3, 0]]
[[1, 3, 4], [2, 0]]
[[2, 3, 4], [1, 0]]