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A dart library that simplifies working with meta-arrangements commonly encountered in combinatorics such as arrangements of combinations and permutations.

License: MIT License

Dart 97.73% HTML 1.20% CSS 1.07%
permutation steinhaus-johnson-trotter algorithm combinatorics combinations combinations-with-repetition permutations-with-repetition

dart-trotter's Introduction

Welcome to trotter, a library that simplifies working with meta-arrangements commonly encountered in combinatorics, such as arrangements of combinations and permutations.

trotter gives the developer access to pseudo-lists that "contain" all selections (combinations, permutations, etc.) of objects taken from a specified list of items.

The order of arrangements is based on the the order produced by the Steinhaus–Johnson–Trotter algorithm for ordering permutations, which I have generalized to combinations and arrangements that allow for replacement after item selection.

The pseudo-list classes available are:

  • Combinations.
  • Permutations.
  • Compositions (combinations with replacement).
  • Amalgams (permutations with replacement).
  • Subsets (combinations with unspecified number of items taken).
  • Compounds (combinations with unspecified number of items taken).

Demos

To see trotter in action:

  • Play Falco Shapes, a little puzzle based on Marsha Falco"s game of Set.

  • Explore the huge number of permutations of letters of the alphabet with Permutation Products.

Using trotter

Include the following dependency in your `pubspec.yaml``:

trotter: ^2.2.0

Then, to import the library:

import "package:trotter/trotter.dart";

The basic classes

Combinations

A combination is a selection of items for which order is not important and items are not replaced after being selected.

The Combinations class "contains" all combinations of a set of items.

Example:

final bagOfItems = characters("abcde"),
  combinations = Combinations(3, bagOfItems);
for (final combination in combinations()) {
  print(combination);
}
[a, b, c]
[a, b, d]
[a, b, e]
[a, c, d]
[a, c, e]
[a, d, e]
[b, c, d]
[b, c, e]
[b, d, e]
[c, d, e]

Permutations

A permutation is a selection of items for which order is important and items are not replaced after being selected.

The Permutations class "contains" all permutations of a set of items.

Example:

final bagOfItems = characters("abcde"), permutations = Permutations(3, bagOfItems);
for (final permutation in permutations()) {
  print(permutation);
}
[a, b, c]
[a, c, b]
[c, a, b]
[c, b, a]
[b, c, a]
[b, a, c]
[a, b, d]
[a, d, b]
[d, a, b]
[d, b, a]
[b, d, a]
[b, a, d]
[a, b, e]
[a, e, b]
[e, a, b]
[e, b, a]
[b, e, a]
[b, a, e]
[a, c, d]
[a, d, c]
[d, a, c]
[d, c, a]
[c, d, a]
[c, a, d]
[a, c, e]
[a, e, c]
[e, a, c]
[e, c, a]
[c, e, a]
[c, a, e]
[a, d, e]
[a, e, d]
[e, a, d]
[e, d, a]
[d, e, a]
[d, a, e]
[b, c, d]
[b, d, c]
[d, b, c]
[d, c, b]
[c, d, b]
[c, b, d]
[b, c, e]
[b, e, c]
[e, b, c]
[e, c, b]
[c, e, b]
[c, b, e]
[b, d, e]
[b, e, d]
[e, b, d]
[e, d, b]
[d, e, b]
[d, b, e]
[c, d, e]
[c, e, d]
[e, c, d]
[e, d, c]
[d, e, c]
[d, c, e]

(Notice that this library arranges permutations similarly to the way the Steinhaus-Johnson-Trotter algorithm arranges permutations. In fact, if we get the permutations of all the specified items, e.g. final permutations = Permutations(bagOfItems.length, bagOfItems); in the above code, the arrangement of permutations is exactly what would have resulted from applying the S-J-T algorithm. The algorithms in this library have an advantage in that they do not iterate through all k - 1 permutations in order to determine the kth permutation, however.)

Compositions

A composition (or combination with replacement) is a selection of items for which order is not important and items are replaced after being selected.

The Compositions class "contains" all compositions of a set of items.

Here are all the compositions of three items taken from a bag of five items:

Example:

final bagOfItems = characters("abcde"), compositions = Compositions(3, bagOfItems);
for (final composition in compositions()) {
  print(composition);
}
[a, a, a]
[a, a, b]
[a, a, c]
[a, a, d]
[a, a, e]
[a, b, b]
[a, b, c]
[a, b, d]
[a, b, e]
[a, c, c]
[a, c, d]
[a, c, e]
[a, d, d]
[a, d, e]
[a, e, e]
[b, b, b]
[b, b, c]
[b, b, d]
[b, b, e]
[b, c, c]
[b, c, d]
[b, c, e]
[b, d, d]
[b, d, e]
[b, e, e]
[c, c, c]
[c, c, d]
[c, c, e]
[c, d, d]
[c, d, e]
[c, e, e]
[d, d, d]
[d, d, e]
[d, e, e]
[e, e, e]

Amalgams

An amalgam (or permutation with replacement) is a selection of items for which order is important and items are replaced after being selected.

The Amalgams class "contains" all amalgams of a set of items.

Example:

final bagOfItems = characters("abcde"), amalgams = Amalgams(3, bagOfItems);
for (final amalgam in amalgams()) {
  print(amalgam);
}
[a, a, a]
[a, a, b]
[a, a, c]
[a, a, d]
[a, a, e]
[a, b, a]
[a, b, b]
[a, b, c]
[a, b, d]
[a, b, e]
[a, c, a]
[a, c, b]
[a, c, c]
[a, c, d]
[a, c, e]
[a, d, a]
[a, d, b]
[a, d, c]
[a, d, d]
[a, d, e]
[a, e, a]
[a, e, b]
[a, e, c]
[a, e, d]
[a, e, e]
[b, a, a]
[b, a, b]
[b, a, c]
[b, a, d]
[b, a, e]
[b, b, a]
[b, b, b]
[b, b, c]
[b, b, d]
[b, b, e]
[b, c, a]
[b, c, b]
[b, c, c]
[b, c, d]
[b, c, e]
[b, d, a]
[b, d, b]
[b, d, c]
[b, d, d]
[b, d, e]
[b, e, a]
[b, e, b]
[b, e, c]
[b, e, d]
[b, e, e]
[c, a, a]
[c, a, b]
[c, a, c]
[c, a, d]
[c, a, e]
[c, b, a]
[c, b, b]
[c, b, c]
[c, b, d]
[c, b, e]
[c, c, a]
[c, c, b]
[c, c, c]
[c, c, d]
[c, c, e]
[c, d, a]
[c, d, b]
[c, d, c]
[c, d, d]
[c, d, e]
[c, e, a]
[c, e, b]
[c, e, c]
[c, e, d]
[c, e, e]
[d, a, a]
[d, a, b]
[d, a, c]
[d, a, d]
[d, a, e]
[d, b, a]
[d, b, b]
[d, b, c]
[d, b, d]
[d, b, e]
[d, c, a]
[d, c, b]
[d, c, c]
[d, c, d]
[d, c, e]
[d, d, a]
[d, d, b]
[d, d, c]
[d, d, d]
[d, d, e]
[d, e, a]
[d, e, b]
[d, e, c]
[d, e, d]
[d, e, e]
[e, a, a]
[e, a, b]
[e, a, c]
[e, a, d]
[e, a, e]
[e, b, a]
[e, b, b]
[e, b, c]
[e, b, d]
[e, b, e]
[e, c, a]
[e, c, b]
[e, c, c]
[e, c, d]
[e, c, e]
[e, d, a]
[e, d, b]
[e, d, c]
[e, d, d]
[e, d, e]
[e, e, a]
[e, e, b]
[e, e, c]
[e, e, d]
[e, e, e]

Subsets

A subset (or combination of unspecified length) is a selection of items for which order is not important, items are not replaced and the number of items is not specified.

The Subsets class "contains" all subsets of a set of items.

Example:

final bagOfItems = characters("abcde"), subsets = Subsets(bagOfItems);
for (final subset in subs()) {
  print(subset);
}

Compounds

A compound (or permutation of unspecified length) is a selection of items for which order is important, items are not replaced and the number of items is not specified.

The Compounds class "contains" all compounds of a set of items.

Example:

final bagOfItems = characters("abcde"), compounds = Compounds(bagOfItems);
for (final compound in compounds()) {
  print(compound);
}
[]
[a]
[b]
[c]
[d]
[e]
[a, b]
[b, a]
[a, c]
[c, a]
[a, d]
[d, a]
[a, e]
[e, a]
[b, c]
[c, b]
[b, d]
[d, b]
[b, e]
[e, b]
[c, d]
[d, c]
[c, e]
[e, c]
[d, e]
[e, d]
[a, b, c]
[a, c, b]
[c, a, b]
[c, b, a]
[b, c, a]
[b, a, c]
[a, b, d]
[a, d, b]
[d, a, b]
[d, b, a]
[b, d, a]
[b, a, d]
[a, b, e]
[a, e, b]
[e, a, b]
[e, b, a]
[b, e, a]
[b, a, e]
[a, c, d]
[a, d, c]
[d, a, c]
[d, c, a]
[c, d, a]
[c, a, d]
[a, c, e]
[a, e, c]
[e, a, c]
[e, c, a]
[c, e, a]
[c, a, e]
[a, d, e]
[a, e, d]
[e, a, d]
[e, d, a]
[d, e, a]
[d, a, e]
[b, c, d]
[b, d, c]
[d, b, c]
[d, c, b]
[c, d, b]
[c, b, d]
[b, c, e]
[b, e, c]
[e, b, c]
[e, c, b]
[c, e, b]
[c, b, e]
[b, d, e]
[b, e, d]
[e, b, d]
[e, d, b]
[d, e, b]
[d, b, e]
[c, d, e]
[c, e, d]
[e, c, d]
[e, d, c]
[d, e, c]
[d, c, e]
[a, b, c, d]
[a, b, d, c]
[a, d, b, c]
[d, a, b, c]
[d, a, c, b]
[a, d, c, b]
[a, c, d, b]
[a, c, b, d]
[c, a, b, d]
[c, a, d, b]
[c, d, a, b]
[d, c, a, b]
[d, c, b, a]
[c, d, b, a]
[c, b, d, a]
[c, b, a, d]
[b, c, a, d]
[b, c, d, a]
[b, d, c, a]
[d, b, c, a]
[d, b, a, c]
[b, d, a, c]
[b, a, d, c]
[b, a, c, d]
[a, b, c, e]
[a, b, e, c]
[a, e, b, c]
[e, a, b, c]
[e, a, c, b]
[a, e, c, b]
[a, c, e, b]
[a, c, b, e]
[c, a, b, e]
[c, a, e, b]
[c, e, a, b]
[e, c, a, b]
[e, c, b, a]
[c, e, b, a]
[c, b, e, a]
[c, b, a, e]
[b, c, a, e]
[b, c, e, a]
[b, e, c, a]
[e, b, c, a]
[e, b, a, c]
[b, e, a, c]
[b, a, e, c]
[b, a, c, e]
[a, b, d, e]
[a, b, e, d]
[a, e, b, d]
[e, a, b, d]
[e, a, d, b]
[a, e, d, b]
[a, d, e, b]
[a, d, b, e]
[d, a, b, e]
[d, a, e, b]
[d, e, a, b]
[e, d, a, b]
[e, d, b, a]
[d, e, b, a]
[d, b, e, a]
[d, b, a, e]
[b, d, a, e]
[b, d, e, a]
[b, e, d, a]
[e, b, d, a]
[e, b, a, d]
[b, e, a, d]
[b, a, e, d]
[b, a, d, e]
[a, c, d, e]
[a, c, e, d]
[a, e, c, d]
[e, a, c, d]
[e, a, d, c]
[a, e, d, c]
[a, d, e, c]
[a, d, c, e]
[d, a, c, e]
[d, a, e, c]
[d, e, a, c]
[e, d, a, c]
[e, d, c, a]
[d, e, c, a]
[d, c, e, a]
[d, c, a, e]
[c, d, a, e]
[c, d, e, a]
[c, e, d, a]
[e, c, d, a]
[e, c, a, d]
[c, e, a, d]
[c, a, e, d]
[c, a, d, e]
[b, c, d, e]
[b, c, e, d]
[b, e, c, d]
[e, b, c, d]
[e, b, d, c]
[b, e, d, c]
[b, d, e, c]
[b, d, c, e]
[d, b, c, e]
[d, b, e, c]
[d, e, b, c]
[e, d, b, c]
[e, d, c, b]
[d, e, c, b]
[d, c, e, b]
[d, c, b, e]
[c, d, b, e]
[c, d, e, b]
[c, e, d, b]
[e, c, d, b]
[e, c, b, d]
[c, e, b, d]
[c, b, e, d]
[c, b, d, e]
[a, b, c, d, e]
[a, b, c, e, d]
[a, b, e, c, d]
[a, e, b, c, d]
[e, a, b, c, d]
[e, a, b, d, c]
[a, e, b, d, c]
[a, b, e, d, c]
[a, b, d, e, c]
[a, b, d, c, e]
[a, d, b, c, e]
[a, d, b, e, c]
[a, d, e, b, c]
[a, e, d, b, c]
[e, a, d, b, c]
[e, d, a, b, c]
[d, e, a, b, c]
[d, a, e, b, c]
[d, a, b, e, c]
[d, a, b, c, e]
[d, a, c, b, e]
[d, a, c, e, b]
[d, a, e, c, b]
[d, e, a, c, b]
[e, d, a, c, b]
[e, a, d, c, b]
[a, e, d, c, b]
[a, d, e, c, b]
[a, d, c, e, b]
[a, d, c, b, e]
[a, c, d, b, e]
[a, c, d, e, b]
[a, c, e, d, b]
[a, e, c, d, b]
[e, a, c, d, b]
[e, a, c, b, d]
[a, e, c, b, d]
[a, c, e, b, d]
[a, c, b, e, d]
[a, c, b, d, e]
[c, a, b, d, e]
[c, a, b, e, d]
[c, a, e, b, d]
[c, e, a, b, d]
[e, c, a, b, d]
[e, c, a, d, b]
[c, e, a, d, b]
[c, a, e, d, b]
[c, a, d, e, b]
[c, a, d, b, e]
[c, d, a, b, e]
[c, d, a, e, b]
[c, d, e, a, b]
[c, e, d, a, b]
[e, c, d, a, b]
[e, d, c, a, b]
[d, e, c, a, b]
[d, c, e, a, b]
[d, c, a, e, b]
[d, c, a, b, e]
[d, c, b, a, e]
[d, c, b, e, a]
[d, c, e, b, a]
[d, e, c, b, a]
[e, d, c, b, a]
[e, c, d, b, a]
[c, e, d, b, a]
[c, d, e, b, a]
[c, d, b, e, a]
[c, d, b, a, e]
[c, b, d, a, e]
[c, b, d, e, a]
[c, b, e, d, a]
[c, e, b, d, a]
[e, c, b, d, a]
[e, c, b, a, d]
[c, e, b, a, d]
[c, b, e, a, d]
[c, b, a, e, d]
[c, b, a, d, e]
[b, c, a, d, e]
[b, c, a, e, d]
[b, c, e, a, d]
[b, e, c, a, d]
[e, b, c, a, d]
[e, b, c, d, a]
[b, e, c, d, a]
[b, c, e, d, a]
[b, c, d, e, a]
[b, c, d, a, e]
[b, d, c, a, e]
[b, d, c, e, a]
[b, d, e, c, a]
[b, e, d, c, a]
[e, b, d, c, a]
[e, d, b, c, a]
[d, e, b, c, a]
[d, b, e, c, a]
[d, b, c, e, a]
[d, b, c, a, e]
[d, b, a, c, e]
[d, b, a, e, c]
[d, b, e, a, c]
[d, e, b, a, c]
[e, d, b, a, c]
[e, b, d, a, c]
[b, e, d, a, c]
[b, d, e, a, c]
[b, d, a, e, c]
[b, d, a, c, e]
[b, a, d, c, e]
[b, a, d, e, c]
[b, a, e, d, c]
[b, e, a, d, c]
[e, b, a, d, c]
[e, b, a, c, d]
[b, e, a, c, d]
[b, a, e, c, d]
[b, a, c, e, d]
[b, a, c, d, e]

Large indices

Arrangement numbers often grow very quickly. For example, consider the number of 10-permutations of the letters of the alphabet:

Example:

final largeBagOfItems = characters("abcdefghijklmnopqrstuvwxyz"),
  permutations = Permutations(10, largeBagOfItems);
print(permutations);
Pseudo-list containing all 19275223968000 10-permutations of items from [a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z].

Wow! That"s a lot of permutations! Don"t iterate over them all!

Notice that the word algorithms is a 10-permutation of the letters of the alphabet. What is the index of this permutation in our list of permutations?

Example:

final largeBagOfItems = characters("abcdefghijklmnopqrstuvwxyz"),
    permutations = Permutations(10, largeBagOfItems),
    permutationOfInterest = characters("algorithms"),
    index = permutations.indexOf(permutationOfInterest);
print("The index of $permutationOfInterest is $index.");
print("permutations[$index]: ${permutations[index]}");
The index of [a, l, g, o, r, i, t, h, m, s] is 6831894769563.
permutations[6831894769563]: [a, l, g, o, r, i, t, h, m, s]

Wow! That"s almost seven trillion! Luckily we didn"t need to perform that search using brute force!

Since we sometimes can be working with indexes so large they cannot be represented using a 64 bit int, indexing and length are implemented using BigInt.

Example:

final largeBagOfItems = characters("abcdefghijklmnopqrstuvwxyz"),
    compounds = Compounds(largeBagOfItems);
print("There are ${compounds.length} compounds of these letters!");
BigInt lastCompoundIndex = compounds.length - BigInt.one;
print("The last compound is ${compounds[lastCompoundIndex]}.");
There are 1096259850353149530222034277 compounds of these letters!
The last compound is [b, a, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z].

Unless you"re immortal, don"t use compounds().last to access the last compound in the previous example!

Syntactic sugar

Lists

trotter provides extensions that allow us to generate combinatoric arrangements directly from lists...

Example:

final subsets = [1, 2, 3, 4, 5].subsets();
for (final subset in subsets()) {
  print(subset);
}
[]
[1]
[2]
[1, 2]
[3]
[1, 3]
[2, 3]
[1, 2, 3]
[4]
[1, 4]
[2, 4]
[1, 2, 4]
[3, 4]
[1, 3, 4]
[2, 3, 4]
[1, 2, 3, 4]
[5]
[1, 5]
[2, 5]
[1, 2, 5]
[3, 5]
[1, 3, 5]
[2, 3, 5]
[1, 2, 3, 5]
[4, 5]
[1, 4, 5]
[2, 4, 5]
[1, 2, 4, 5]
[3, 4, 5]
[1, 3, 4, 5]
[2, 3, 4, 5]
[1, 2, 3, 4, 5]

Strings

... and strings, in which case it assumes we mean arrangements of the characters in the string.

Example:

final subsets = "abcde".subsets();
for (final subset in subsets()) {
  print(subset);
}
[]
[a]
[b]
[a, b]
[c]
[a, c]
[b, c]
[a, b, c]
[d]
[a, d]
[b, d]
[a, b, d]
[c, d]
[a, c, d]
[b, c, d]
[a, b, c, d]
[e]
[a, e]
[b, e]
[a, b, e]
[c, e]
[a, c, e]
[b, c, e]
[a, b, c, e]
[d, e]
[a, d, e]
[b, d, e]
[a, b, d, e]
[c, d, e]
[a, c, d, e]
[b, c, d, e]
[a, b, c, d, e]


trotter was written by Richard Nathan Ambler.

Thanks for your interest in this library. Please file any bugs, issues and suggestions here.

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dart-trotter's Issues

problem discussion

Here's a description of my problem:

The customer has various walls of a fixed length, and hes want to efficiently dress them with segments of a material i have in fixed lengths (let's say lengths of a 2 meters and b 3 meters).
I have an unlimited supply of these components, but you I want to count how many of each component are to be used to fill the wall while minimizing waste.

Constraints:

We care only about the length not the width or any other dimension either for the wall or the components.
Wall Size: The walls lengths are known to us (e.g., 16 meters and 5 meters).
Component and Segment Lengths: You have components with fixed lengths (let's say for example a) 2 meters and b) 3 meters). We can cut the a or b to a desired length. Generalise here the Components and their lengths are an input parameter.
Waste : waste is considered to be the part of the component that is cut and the other part is never used. one part is used to fill the wall and the other is cosidered as discarded/waste.
Objective: packing the entire walls with components and their segments.
Objective: You need to keep track of the number of a and b components and their segments used to fill each wall.
Objective: We must minimize waste while packing.
The goal is to find an arrangement of components and their segmenting on the wall that minimizes the number of segments used and counts how many of each segment length is used in each wall.

Do you think this solver help me solve my problem?
I think it can at least generate the combinations of components and segments for the given wall length.

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