# How to use closedSet method of test.Open class

Best Mockito-kotlin code snippet using test.Open.closedSet

Puzzle22RedoTest.kt

Source:Puzzle22RedoTest.kt

`...124 }125 private fun calculateQuickestPath(grid: Map<Point, Tile>, goal: PlayerState): List<PlayerState> {126 val start = PlayerState(TORCH, Point(0, 0))127 // The set of nodes already evaluated128 val closedSet = mutableSetOf<PlayerState>()129 // The set of currently discovered nodes that are not evaluated yet.130 // Initially, only the start node is known.131 val openSet = mutableSetOf(start)132 // For each node, which node it can most efficiently be reached from.133 // If a node can be reached from many nodes, cameFrom will eventually contain the134 // most efficient previous step.135 val cameFrom = mutableMapOf<PlayerState, PlayerState>()136 // For each node, the cost of getting from the start node to that node.137 val gScore = mutableMapOf<PlayerState, Int>()138 gScore[start] = 0139 val fScore = mutableMapOf<PlayerState, Int>()140 fScore[start] = heuristicCostEstimate(start, goal)141 fun getGScore(state: PlayerState): Int {142 return gScore[state] ?: (Int.MAX_VALUE / 2)143 }144 while (openSet.isNotEmpty()) {145 // The node in the open set having the lowest fScore value146 val current = openSet.minBy{ fScore[it]!! }!! //fScore.minBy { it.value }!!.key147 if (current == goal) {148 return reconstructPath(cameFrom, current)149 }150 openSet.remove(current)151 closedSet.add(current)152 // get the neighbours of the current node153 val nextStatesNotValidated = nextStates(grid, current)154 val validNextStates = nextStatesNotValidated.filter { nextPlayerState ->155 val nextStateTile = grid[nextPlayerState.position]156 val equippedToolAllowedForTile = nextStateTile?.validTools?.contains(nextPlayerState.currentTool) ?: false157 equippedToolAllowedForTile158 }159 for (neighbour in validNextStates) {160 // Ignore the neighbor which is already evaluated.161 if (neighbour in closedSet) {162 continue163 }164 val tentativeGScore = getGScore(current) + distanceBetween(current, neighbour)165 if (!openSet.contains(neighbour)) {166 openSet.add(neighbour)167 }168 else if (tentativeGScore >= getGScore(neighbour)) {169 continue170 }171 // This path is the best until now. Record it!172 cameFrom[neighbour] = current173 gScore[neighbour] = tentativeGScore174 fScore[neighbour] = gScore[neighbour]!! + heuristicCostEstimate(neighbour, goal)175 }...`

Day15.kt

Source:Day15.kt

`...41 fun findMinPath(map: Array<Array<Int>>): List<Node> {42 val nodeMap = Array(map.size) { x -> Array(map[x].size) { y -> Node(x, y, map[x][y]) } }43 val start = nodeMap[0][0]44 val goal = nodeMap.last().last()45 val closedSet = mutableSetOf<Node>()46 val openSet = mutableSetOf(start)47 start.g = 048 start.h = heuristicCostEstimate(start, goal)49 start.f = start.g + start.h50 while (openSet.isNotEmpty()) {51 val x = openSet.minByOrNull { it.f }!!52 if (x == goal)53 return reconstructPath(goal)54 openSet.remove(x)55 closedSet.add(x)56 for (y in neighborNodes(x, nodeMap)) {57 if (closedSet.contains(y)) continue58 val tentativeGScore = x.g + y.cost59 val tentativeIsBetter: Boolean60 if (openSet.contains(y)) {61 tentativeIsBetter = tentativeGScore < y.g62 } else {63 openSet.add(y)64 tentativeIsBetter = true65 }66 if (tentativeIsBetter) {67 y.cameFrom = x68 y.g = tentativeGScore69 y.h = heuristicCostEstimate(y, goal)70 y.f = y.g + y.h71 }...`

Classes.kt

Source:Classes.kt

`...42 fun closedNullableArray(a: Array<Closed?>)43 fun closedCollection(c: Collection<Closed>)44 fun closedList(c: List<Closed>)45 fun closedStringMap(m: Map<Closed, String>)46 fun closedSet(s: Set<Closed>)47 fun string(s: String)48 fun boolean(b: Boolean)49 fun byte(b: Byte)50 fun char(c: Char)51 fun short(s: Short)52 fun int(i: Int)53 fun long(l: Long)54 fun float(f: Float)55 fun double(d: Double)56 fun closedVararg(vararg c: Closed)57 fun throwableClass(t: ThrowableClass)58 fun nullableString(s: String?)59 fun stringResult(): String60 fun stringResult(s: String): String...`

closedSet

Using AI Code Generation

`1 test.Closed closedSet = new test.Closed();2 closedSet.closedSet();3 }4}5import java.awt.*;6import java.awt.event.*;7import javax.swing.*;8public class SquareRoot extends JFrame implements ActionListener {9 private JTextField input;10 private JTextArea output;11 private JButton button;12 public SquareRoot() {13 super("Square Root");14 setLayout(new FlowLayout());15 input = new JTextField(10);16 add(input);17 output = new JTextArea(15, 15);18 add(output);19 button = new JButton("Find Square Root");20 add(button);21 button.addActionListener(this);22 setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);23 setSize(400, 400);24 setVisible(true);25 }26 public void actionPerformed(ActionEvent e) {27 int num = Integer.parseInt(input.getText());28 double sqrt = Math.sqrt(num);29 output.setText("The square root of " + num + " is " + sqrt);30 }31 public static void main(String[] args) {32 SquareRoot gui = new SquareRoot();33 }34}`

closedSet

Using AI Code Generation

`1 Open open = new Open();2 open.closedSet();3 }4}5package test;6import java.util.*;7public class Open {8 public void closedSet() {9 Set<Integer> set = new HashSet<Integer>();10 set.add(1);11 set.add(2);12 set.add(3);13 set.add(4);14 set.add(5);15 set.add(6);16 set.add(7);17 set.add(8);18 set.add(9);19 set.add(10);20 System.out.println(set);21 }22}`

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