combinatorics
This module provides generators for iterating subsets of an input. It is heavily
inspired by the combinatorial iterators provided by the
itertools package from the
Python
standard library.
- All generators are importable on their own.
- These implementations do not build up intermediate results in memory.
- All functions iterate subsets lexicographically according to their input indices. If the input is sorted the output will be too.
- Likewise, whether the input elements are unique or not does not matter.
- The inputs provided are not modified, however, consumable iterables will be consumed.
Usage
combinations
Yields r
length Arrays
from the input iterable
. Order of selection does
not matter and elements are chosen without replacement.
import { assertEquals } from "asserts";
import { combinations } from "combinatorial-generators";
const sequences = [...combinations([1, 2, 3, 4], 2)];
assertEquals(sequences, [
[1, 2],
[1, 3],
[1, 4],
[2, 3],
[2, 4],
[3, 4],
]);
permutations
Yields r
length Arrays
from the input iterable
. Order of selection is
important and elements are chosen without replacement. If r
is undefined, then
the length of the iterable
is used.
import { assertEquals } from "asserts";
import { permutations } from "combinatorial-generators";
const sequences = [...permutations([1, 2, 3, 4], 2)];
assertEquals(sequences, [
[1, 2], [1, 3], [1, 4],
[2, 1], [2, 3], [2, 4],
[3, 1], [3, 2], [3, 4],
[4, 1], [4, 2], [4, 3],
]);
combinationsWithReplacement
Yields r
length Arrays
from the input iterable
. Order of selection is not
important and elements are chosen with replacement.
import { assertEquals } from "asserts";
import { combinationsWithReplacement } from "combinatorial-generators";
const sequences = [...combinationsWithReplacement([1, 2, 3, 4], 2)];
assertEquals(sequences, [
[1, 1],
[1, 2],
[1, 3],
[1, 4],
[2, 2],
[2, 3],
[2, 4],
[3, 3],
[3, 4],
[4, 4],
]);
permutationsWithReplacement
Yields r
length Arrays
from the input iterable
. Order of selection is
important and elements are chosen with replacement.
import { assertEquals } from "asserts";
import { permutationsWithReplacement } from "combinatorial-generators";
const sequences = [...permutationsWithReplacement([1, 2, 3, 4], 2)];
assertEquals(sequences, [
[1, 1], [1, 2], [1, 3], [1, 4],
[2, 1], [2, 2], [2, 3], [2, 4],
[3, 1], [3, 2], [3, 3], [3, 4],
[4, 1], [4, 2], [4, 3], [4, 4],
]);
cartesianProduct
Roughly equivalent to running nested for...of
loops using one of the inputs to
provide the element at each index for the yielded Array
.
import { assertEquals } from "asserts";
import { cartesianProduct } from "combinatorial-generators";
const sequences = [...cartesianProduct([1, 2, 3], [4, 5, 6], [7, 8, 9])];
assertEquals(sequences, [
[1, 4, 7], [1, 4, 8], [1, 4, 9],
[1, 5, 7], [1, 5, 8], [1, 5, 9],
[1, 6, 7], [1, 6, 8], [1, 6, 9],
[2, 4, 7], [2, 4, 8], [2, 4, 9],
[2, 5, 7], [2, 5, 8], [2, 5, 9],
[2, 6, 7], [2, 6, 8], [2, 6, 9],
[3, 4, 7], [3, 4, 8], [3, 4, 9],
[3, 5, 7], [3, 5, 8], [3, 5, 9],
[3, 6, 7], [3, 6, 8], [3, 6, 9],
]);
powerSet
The set of all subsets of the given iterable
. Equivalent to running
combinations
with 0 <= r <= iterable.length
and flattening the results. The
first subset is the empty set given when r = 0
.
import { assertEquals } from "asserts";
import { powerSet } from "combinatorial-generators";
const sequences = [...powerSet([1, 2, 3])];
assertEquals(sequences, [
[],
[1],
[2],
[3],
[1, 2],
[1, 3],
[2, 3],
[1, 2, 3],
]);