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Add explanation of alternative algorithm + more tests
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README.markdown

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@@ -74,7 +74,7 @@ Special-purpose sorts:
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- Bucket Sort
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- Counting Sort
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- Radix Sort
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- [Topological Sort](Topological Sort/)
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- [Topological Sort](Topological Sort/) :construction:
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Bad sorting algorithms (don't use these!):
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Topological Sort/README.markdown

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@@ -70,5 +70,18 @@ The result of the topological sort looks like this:
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TODO: I don't think this is correct! There should be no arrows going from right to left! (A valid topological order would be 3, 7, 5, 10, 8, 11, 9, 2 -- or 3, 7, 5, 8, 11, 2, 9, 10.)
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## Alternative algorithm
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*Written for Swift Algorithm Club by Ali Hafizji*
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Even though depth-first search is the typical way to perform a topological sort, there is another algorithm that also does the job.
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1. Find out what the in-degree is of every vertex.
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2. Put all the vertices that have no predecessors in a new array called `leaders`. These vertices have in-degree 0 and therefore do not depend on any other vertices.
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3. Go through this list of leaders and remove them one-by-one from the graph. We don't actually modify the graph, we just decrement the in-degree of the vertices they point to. That has the same effect.
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4. Look at the (former) immediate neighbor vertices of each leader. If any of them now have an in-degree of 0, then they no longer have any predecessors themselves. We'll add those vertices to the `leaders` array too.
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5. This repeats until there are no more vertices left to look at. At this point, the `leaders` array contains all the vertices in sorted order.
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This is an **O(n + m)** algorithm where **n** is the number of vertices and **m** is the number of edges. You can see the implementation in [TopologicalSort2.swift](TopologicalSort2.swift).
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I first read about this algorithm in the Algorithm Alley column in Dr. Dobb's Magazine from May 1993.
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*Written for Swift Algorithm Club by Ali Hafizji and Matthijs Hollemans*
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//
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// TopologicalSort.swift
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// TopologicalSort
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//
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// Created by Kauserali on 07/03/16.
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//
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//
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import Foundation
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import XCTest
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extension Graph {
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public func loadEdgeList(lines: [String]) {
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for line in lines {
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let items = line.componentsSeparatedByString(" ").filter { s in !s.isEmpty }
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if adjacencyList(forNode: items[0]) == nil {
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addNode(items[0])
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}
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if adjacencyList(forNode: items[1]) == nil {
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addNode(items[1])
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}
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addEdge(fromNode: items[0], toNode: items[1])
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}
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}
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}
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class TopologicalSort: XCTestCase {
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var graph: Graph!
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override func setUp() {
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super.setUp()
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graph = Graph()
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func testTopologicalSort() {
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let graph = Graph()
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let node5 = graph.addNode("5")
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let node7 = graph.addNode("7")
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graph.addEdge(fromNode: node11, toNode: node9)
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graph.addEdge(fromNode: node11, toNode: node10)
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graph.addEdge(fromNode: node8, toNode: node9)
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}
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func testTopologicalSort() {
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XCTAssertEqual(graph.topologicalSort(), ["3", "8", "9", "10", "7", "11", "2", "5"])
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XCTAssertEqual(graph.topologicalSort(), ["3", "8", "9", "10", "7", "11", "2", "5"])
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XCTAssertEqual(graph.topologicalSort2(), ["3", "7", "5", "8", "11", "2", "9", "10"])
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}
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func testTopologicalSortEdgeLists() {
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let p1 = ["A B", "A C", "B C", "B D", "C E", "C F", "E D", "F E", "G A", "G F"]
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let a1 = ["G", "A", "B", "C", "F", "E", "D"] // TODO
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let s1 = ["G", "A", "B", "C", "F", "E", "D"]
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let p2 = ["B C", "C D", "C G", "B F", "D G", "G E", "F G", "F G"]
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let a2 = ["B", "C", "F", "D", "G", "E"] // TODO
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let s2 = ["B", "C", "F", "D", "G", "E"]
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let p3 = ["S V", "S W", "V T", "W T"]
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let a3 = ["S", "V", "W", "T"] // TODO
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let s3 = ["S", "V", "W", "T"]
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let p4 = ["5 11", "7 11", "7 8", "3 8", "3 10", "11 2", "11 9", "11 10", "8 9"]
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let a4 = ["3", "8", "9", "10", "7", "11", "2", "5"]
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let s4 = ["3", "7", "5", "8", "11", "2", "9", "10"]
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let data = [
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(p1, a1, s1),
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(p2, a2, s2),
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(p3, a3, s3),
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(p4, a4, s4),
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]
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for d in data {
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let graph = Graph()
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graph.loadEdgeList(d.0)
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// TODO: this fails the tests
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//let sorted1 = graph.topologicalSort()
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//XCTAssertEqual(sorted1, d.1)
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let sorted2 = graph.topologicalSort2()
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XCTAssertEqual(sorted2, d.2)
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}
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}
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}

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