Improved arrays

Author: javadev

src/main/kotlin/g1501_1600/s1579_remove_max_number_of_edges_to_keep_graph_fully_traversable/Solution.kt

@@ -2,11 +2,9 @@ package g1501_1600.s1579_remove_max_number_of_edges_to_keep_graph_fully_traversa
 
 // #Hard #Graph #Union_Find #2023_06_14_Time_942_ms_(32.52%)_Space_92.5_MB_(100.00%)
 
-import java.util.Arrays
-
 class Solution {
     fun maxNumEdgesToRemove(n: Int, edges: Array<IntArray>): Int {
-        Arrays.sort(edges) { a: IntArray, b: IntArray -> b[0] - a[0] }
+        edges.sortWith { a: IntArray, b: IntArray -> b[0] - a[0] }
         val alice = IntArray(n + 1)
         val rankAlice = IntArray(n + 1)
         val bob = IntArray(n + 1)

src/main/kotlin/g1601_1700/s1632_rank_transform_of_a_matrix/Solution.kt

@@ -3,8 +3,6 @@ package g1601_1700.s1632_rank_transform_of_a_matrix
 // #Hard #Array #Greedy #Matrix #Graph #Union_Find #Topological_Sort
 // #2023_06_17_Time_807_ms_(100.00%)_Space_96.5_MB_(100.00%)
 
-import java.util.Arrays
-
 class Solution {
     fun matrixRankTransform(matrix: Array<IntArray>): Array<IntArray> {
         val rowCount = matrix.size
@@ -49,7 +47,7 @@ class Solution {
         } else {
             val rowCount = matrix.size
             val ufind = IntArray(rowCount + matrix[0].size)
-            Arrays.fill(ufind, -1)
+            ufind.fill(-1)
             for (nIdx in startIdx until endIdx) {
                 val r = nums[nIdx].toInt() shr 16 and 0xFFFF
                 val c = nums[nIdx].toInt() and 0xFFFF

src/main/kotlin/g1601_1700/s1665_minimum_initial_energy_to_finish_tasks/Solution.kt

@@ -2,11 +2,9 @@ package g1601_1700.s1665_minimum_initial_energy_to_finish_tasks
 
 // #Hard #Array #Sorting #Greedy #2023_06_15_Time_823_ms_(100.00%)_Space_114.6_MB_(100.00%)
 
-import java.util.Arrays
-
 class Solution {
     fun minimumEffort(tasks: Array<IntArray>): Int {
-        Arrays.sort(tasks) { a: IntArray, b: IntArray -> a[1] - a[0] - b[1] + b[0] }
+        tasks.sortWith { a: IntArray, b: IntArray -> a[1] - a[0] - b[1] + b[0] }
         var prev = 0
         for (item in tasks) {
             prev = Math.max(prev + item[0], item[1])

src/main/kotlin/g1601_1700/s1691_maximum_height_by_stacking_cuboids/Solution.kt

@@ -3,16 +3,13 @@ package g1601_1700.s1691_maximum_height_by_stacking_cuboids
 // #Hard #Array #Dynamic_Programming #Sorting
 // #2023_06_15_Time_187_ms_(100.00%)_Space_38.6_MB_(100.00%)
 
-import java.util.Arrays
-
 class Solution {
     fun maxHeight(cuboids: Array<IntArray>): Int {
         for (a in cuboids) {
             a.sort()
         }
-        Arrays.sort(
-            cuboids
-        ) { a: IntArray, b: IntArray ->
+
+        cuboids.sortWith sort@{ a: IntArray, b: IntArray ->
             if (a[0] != b[0]) {
                 return@sort a[0] - b[0]
             } else if (a[1] != b[1]) {

src/main/kotlin/g1601_1700/s1697_checking_existence_of_edge_length_limited_paths/Solution.kt

@@ -3,8 +3,6 @@ package g1601_1700.s1697_checking_existence_of_edge_length_limited_paths
 // #Hard #Array #Sorting #Graph #Union_Find
 // #2023_06_15_Time_1411_ms_(72.90%)_Space_101.6_MB_(99.07%)
 
-import java.util.Arrays
-
 class Solution {
     private class Dsu(n: Int) {
         private val parent: IntArray
@@ -32,12 +30,12 @@ class Solution {
     }
 
     fun distanceLimitedPathsExist(n: Int, edgeList: Array<IntArray>, queries: Array<IntArray>): BooleanArray {
-        Arrays.sort(edgeList) { o1: IntArray, o2: IntArray -> Integer.compare(o1[2], o2[2]) }
+        edgeList.sortWith { o1: IntArray, o2: IntArray -> Integer.compare(o1[2], o2[2]) }
         val data = Array(queries.size) { IntArray(4) }
         for (i in queries.indices) {
             data[i] = intArrayOf(queries[i][0], queries[i][1], queries[i][2], i)
         }
-        Arrays.sort(data) { o1: IntArray, o2: IntArray -> Integer.compare(o1[2], o2[2]) }
+        data.sortWith { o1: IntArray, o2: IntArray -> Integer.compare(o1[2], o2[2]) }
         val d = Dsu(n)
         var j = 0
         val ans = BooleanArray(queries.size)

src/main/kotlin/g1701_1800/s1710_maximum_units_on_a_truck/Solution.kt

@@ -2,13 +2,11 @@ package g1701_1800.s1710_maximum_units_on_a_truck
 
 // #Easy #Array #Sorting #Greedy #2023_06_16_Time_228_ms_(100.00%)_Space_38.5_MB_(100.00%)
 
-import java.util.Arrays
-
 @Suppress("NAME_SHADOWING")
 class Solution {
     fun maximumUnits(boxTypes: Array<IntArray>, truckSize: Int): Int {
         var truckSize = truckSize
-        Arrays.sort(boxTypes) { b1: IntArray, b2: IntArray -> Integer.compare(b2[1], b1[1]) }
+        boxTypes.sortWith { b1: IntArray, b2: IntArray -> Integer.compare(b2[1], b1[1]) }
         var maxUnits = 0
         var i = 0
         while (truckSize > 0 && i < boxTypes.size) {

src/main/kotlin/g1701_1800/s1751_maximum_number_of_events_that_can_be_attended_ii/Solution.kt

@@ -17,7 +17,7 @@ class Solution {
             }
         }
         val n = events.size
-        Arrays.sort(events, { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) })
+        events.sortWith { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) }
         val memo = Array(n) { IntArray(k + 1) }
         return dfs(events, 0, k, memo)
     }

src/main/kotlin/g1801_1900/s1847_closest_room/Solution.kt

@@ -2,7 +2,6 @@ package g1801_1900.s1847_closest_room
 
 // #Hard #Array #Sorting #Binary_Search #2023_06_22_Time_1179_ms_(100.00%)_Space_92.1_MB_(100.00%)
 
-import java.util.Arrays
 import java.util.TreeSet
 
 class Solution {
@@ -12,8 +11,8 @@ class Solution {
         for (i in 0 until numQuery) {
             queries[i] = intArrayOf(queries[i][0], queries[i][1], i)
         }
-        Arrays.sort(rooms) { a: IntArray, b: IntArray -> if (a[1] != b[1]) a[1] - b[1] else a[0] - b[0] }
-        Arrays.sort(queries) { a: IntArray, b: IntArray -> if (a[1] != b[1]) a[1] - b[1] else a[0] - b[0] }
+        rooms.sortWith { a: IntArray, b: IntArray -> if (a[1] != b[1]) a[1] - b[1] else a[0] - b[0] }
+        queries.sortWith { a: IntArray, b: IntArray -> if (a[1] != b[1]) a[1] - b[1] else a[0] - b[0] }
         val roomIds = TreeSet<Int>()
         val result = IntArray(numQuery)
         var j = numRoom - 1

src/main/kotlin/g1801_1900/s1851_minimum_interval_to_include_each_query/Solution.kt

@@ -3,7 +3,6 @@ package g1801_1900.s1851_minimum_interval_to_include_each_query
 // #Hard #Array #Sorting #Binary_Search #Heap_Priority_Queue #Line_Sweep
 // #2023_06_22_Time_1612_ms_(87.50%)_Space_129.5_MB_(75.00%)
 
-import java.util.Arrays
 import java.util.PriorityQueue
 
 class Solution {
@@ -13,8 +12,8 @@ class Solution {
         for (i in 0 until numQuery) {
             queriesWithIndex[i] = intArrayOf(queries[i], i)
         }
-        Arrays.sort(intervals, { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) })
-        Arrays.sort(queriesWithIndex, { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) })
+        intervals.sortWith { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) }
+        queriesWithIndex.sortWith { a: IntArray, b: IntArray -> a[0].compareTo(b[0]) }
         val minHeap = PriorityQueue({ a: IntArray, b: IntArray -> (a[1] - a[0]).compareTo(b[1] - b[0]) })
         val result = IntArray(numQuery)
         var j = 0