Added tasks 2930-2940

Author: javadev

src/main/kotlin/g2901_3000/s2930_number_of_strings_which_can_be_rearranged_to_contain_substring/Solution.kt

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+package g2901_3000.s2930_number_of_strings_which_can_be_rearranged_to_contain_substring
+
+// #Medium #Dynamic_Programming #Math #Combinatorics
+// #2024_01_03_Time_132_ms_(100.00%)_Space_33.3_MB_(100.00%)
+
+@Suppress("NAME_SHADOWING")
+class Solution {
+    private fun pow(x: Long, n: Long, mod: Long): Long {
+        var n = n
+        var result: Long = 1
+        var p = x % mod
+        while (n != 0L) {
+            if ((n and 1L) != 0L) {
+                result = (result * p) % mod
+            }
+            p = (p * p) % mod
+            n = n shr 1
+        }
+        return result
+    }
+
+    fun stringCount(n: Int): Int {
+        val mod = 1e9.toInt() + 7L
+        return (
+            (
+                (
+                    pow(26, n.toLong(), mod) -
+                        (n + 75) * pow(25, n - 1L, mod) +
+                        (2 * n + 72) * pow(24, n - 1L, mod) -
+                        (n + 23) * pow(23, n - 1L, mod)
+                    ) %
+                    mod +
+                    mod
+                ) %
+                mod
+            ).toInt()
+    }
+}

src/main/kotlin/g2901_3000/s2930_number_of_strings_which_can_be_rearranged_to_contain_substring/readme.md

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+2930\. Number of Strings Which Can Be Rearranged to Contain Substring
+
+Medium
+
+You are given an integer `n`.
+
+A string `s` is called **good** if it contains only lowercase English characters **and** it is possible to rearrange the characters of `s` such that the new string contains `"leet"` as a **substring**.
+
+For example:
+
+*   The string `"lteer"` is good because we can rearrange it to form `"leetr"` .
+*   `"letl"` is not good because we cannot rearrange it to contain `"leet"` as a substring.
+
+Return _the **total** number of good strings of length_ `n`.
+
+Since the answer may be large, return it **modulo** <code>10<sup>9</sup> + 7</code>.
+
+A **substring** is a contiguous sequence of characters within a string.
+
+**Example 1:**
+
+**Input:** n = 4
+
+**Output:** 12
+
+**Explanation:** The 12 strings which can be rearranged to have "leet" as a substring are: "eelt", "eetl", "elet", "elte", "etel", "etle", "leet", "lete", "ltee", "teel", "tele", and "tlee".
+
+**Example 2:**
+
+**Input:** n = 10
+
+**Output:** 83943898
+
+**Explanation:** The number of strings with length 10 which can be rearranged to have "leet" as a substring is 526083947580. Hence the answer is 526083947580 % (10<sup>9</sup> + 7) = 83943898.
+
+**Constraints:**
+
+*   <code>1 <= n <= 10<sup>5</sup></code>

src/main/kotlin/g2901_3000/s2931_maximum_spending_after_buying_items/Solution.kt

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+package g2901_3000.s2931_maximum_spending_after_buying_items
+
+// #Hard #Array #Sorting #Greedy #Matrix #Heap_Priority_Queue
+// #2024_01_03_Time_541_ms_(93.75%)_Space_61.5_MB_(93.75%)
+
+class Solution {
+    private class Node {
+        var `val`: Int = -1
+        var next: Node? = null
+
+        constructor(`val`: Int) {
+            this.`val` = `val`
+        }
+
+        constructor()
+    }
+
+    fun maxSpending(values: Array<IntArray>): Long {
+        val m = values.size
+        val n = values[0].size
+        val head = Node()
+        var node: Node? = head
+        for (j in n - 1 downTo 0) {
+            node!!.next = Node(values[0][j])
+            node = node.next
+        }
+        for (i in 1 until m) {
+            node = head
+            for (j in n - 1 downTo 0) {
+                while (node!!.next != null && node.next!!.`val` <= values[i][j]) {
+                    node = node.next
+                }
+                val next = node.next
+                node.next = Node(values[i][j])
+                node = node.next
+                node!!.next = next
+            }
+        }
+        var res: Long = 0
+        var day: Long = 1
+        node = head.next
+        while (node != null) {
+            res += day * node.`val`
+            node = node.next
+            day++
+        }
+        return res
+    }
+}

src/main/kotlin/g2901_3000/s2931_maximum_spending_after_buying_items/readme.md

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+2931\. Maximum Spending After Buying Items
+
+Hard
+
+You are given a **0-indexed** `m * n` integer matrix `values`, representing the values of `m * n` different items in `m` different shops. Each shop has `n` items where the <code>j<sup>th</sup></code> item in the <code>i<sup>th</sup></code> shop has a value of `values[i][j]`. Additionally, the items in the <code>i<sup>th</sup></code> shop are sorted in non-increasing order of value. That is, `values[i][j] >= values[i][j + 1]` for all `0 <= j < n - 1`.
+
+On each day, you would like to buy a single item from one of the shops. Specifically, On the <code>d<sup>th</sup></code> day you can:
+
+*   Pick any shop `i`.
+*   Buy the rightmost available item `j` for the price of `values[i][j] * d`. That is, find the greatest index `j` such that item `j` was never bought before, and buy it for the price of `values[i][j] * d`.
+
+**Note** that all items are pairwise different. For example, if you have bought item `0` from shop `1`, you can still buy item `0` from any other shop.
+
+Return _the **maximum amount of money that can be spent** on buying all_ `m * n` _products_.
+
+**Example 1:**
+
+**Input:** values = [[8,5,2],[6,4,1],[9,7,3]]
+
+**Output:** 285
+
+**Explanation:** On the first day, we buy product 2 from shop 1 for a price of values[1][2] \* 1 = 1. 
+
+On the second day, we buy product 2 from shop 0 for a price of values[0][2] \* 2 = 4. 
+
+On the third day, we buy product 2 from shop 2 for a price of values[2][2] \* 3 = 9. 
+
+On the fourth day, we buy product 1 from shop 1 for a price of values[1][1] \* 4 = 16.
+
+On the fifth day, we buy product 1 from shop 0 for a price of values[0][1] \* 5 = 25. 
+
+On the sixth day, we buy product 0 from shop 1 for a price of values[1][0] \* 6 = 36.
+
+On the seventh day, we buy product 1 from shop 2 for a price of values[2][1] \* 7 = 49. 
+
+On the eighth day, we buy product 0 from shop 0 for a price of values[0][0] \* 8 = 64. 
+
+On the ninth day, we buy product 0 from shop 2 for a price of values[2][0] \* 9 = 81. 
+
+Hence, our total spending is equal to 285. 
+
+It can be shown that 285 is the maximum amount of money that can be spent buying all m \* n products.
+
+**Example 2:**
+
+**Input:** values = [[10,8,6,4,2],[9,7,5,3,2]]
+
+**Output:** 386
+
+**Explanation:** On the first day, we buy product 4 from shop 0 for a price of values[0][4] \* 1 = 2. 
+
+On the second day, we buy product 4 from shop 1 for a price of values[1][4] \* 2 = 4. 
+
+On the third day, we buy product 3 from shop 1 for a price of values[1][3] \* 3 = 9. 
+
+On the fourth day, we buy product 3 from shop 0 for a price of values[0][3] \* 4 = 16. 
+
+On the fifth day, we buy product 2 from shop 1 for a price of values[1][2] \* 5 = 25. 
+
+On the sixth day, we buy product 2 from shop 0 for a price of values[0][2] \* 6 = 36. 
+
+On the seventh day, we buy product 1 from shop 1 for a price of values[1][1] \* 7 = 49. 
+
+On the eighth day, we buy product 1 from shop 0 for a price of values[0][1] \* 8 = 64 
+
+On the ninth day, we buy product 0 from shop 1 for a price of values[1][0] \* 9 = 81. 
+
+On the tenth day, we buy product 0 from shop 0 for a price of values[0][0] \* 10 = 100. 
+
+Hence, our total spending is equal to 386. 
+
+It can be shown that 386 is the maximum amount of money that can be spent buying all m \* n products.
+
+**Constraints:**
+
+*   `1 <= m == values.length <= 10`
+*   <code>1 <= n == values[i].length <= 10<sup>4</sup></code>
+*   <code>1 <= values[i][j] <= 10<sup>6</sup></code>
+*   `values[i]` are sorted in non-increasing order.

src/main/kotlin/g2901_3000/s2932_maximum_strong_pair_xor_i/Solution.kt

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+package g2901_3000.s2932_maximum_strong_pair_xor_i
+
+// #Easy #Array #Hash_Table #Bit_Manipulation #Sliding_Window #Trie
+// #2024_01_03_Time_192_ms_(43.08%)_Space_36.5_MB_(90.77%)
+
+import kotlin.math.abs
+import kotlin.math.max
+import kotlin.math.min
+
+class Solution {
+    fun maximumStrongPairXor(nums: IntArray): Int {
+        var max = 0
+        var pair: Int
+        for (i in nums.indices) {
+            for (j in i until nums.size) {
+                if (abs((nums[i] - nums[j])) <= min(nums[i], nums[j])) {
+                    pair = nums[i] xor nums[j]
+                    max = max(max, pair)
+                }
+            }
+        }
+        return max
+    }
+}

src/main/kotlin/g2901_3000/s2932_maximum_strong_pair_xor_i/readme.md

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+2932\. Maximum Strong Pair XOR I
+
+Easy
+
+You are given a **0-indexed** integer array `nums`. A pair of integers `x` and `y` is called a **strong** pair if it satisfies the condition:
+
+*   `|x - y| <= min(x, y)`
+
+You need to select two integers from `nums` such that they form a strong pair and their bitwise `XOR` is the **maximum** among all strong pairs in the array.
+
+Return _the **maximum**_ `XOR` _value out of all possible strong pairs in the array_ `nums`.
+
+**Note** that you can pick the same integer twice to form a pair.
+
+**Example 1:**
+
+**Input:** nums = [1,2,3,4,5]
+
+**Output:** 7
+
+**Explanation:** There are 11 strong pairs in the array `nums`: (1, 1), (1, 2), (2, 2), (2, 3), (2, 4), (3, 3), (3, 4), (3, 5), (4, 4), (4, 5) and (5, 5). The maximum XOR possible from these pairs is 3 XOR 4 = 7.
+
+**Example 2:**
+
+**Input:** nums = [10,100]
+
+**Output:** 0
+
+**Explanation:** There are 2 strong pairs in the array `nums`: (10, 10) and (100, 100). The maximum XOR possible from these pairs is 10 XOR 10 = 0 since the pair (100, 100) also gives 100 XOR 100 = 0.
+
+**Example 3:**
+
+**Input:** nums = [5,6,25,30]
+
+**Output:** 7
+
+**Explanation:** There are 6 strong pairs in the array `nums`: (5, 5), (5, 6), (6, 6), (25, 25), (25, 30) and (30, 30). The maximum XOR possible from these pairs is 25 XOR 30 = 7 since the only other non-zero XOR value is 5 XOR 6 = 3.
+
+**Constraints:**
+
+*   `1 <= nums.length <= 50`
+*   `1 <= nums[i] <= 100`

src/main/kotlin/g2901_3000/s2933_high_access_employees/Solution.kt

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+package g2901_3000.s2933_high_access_employees
+
+// #Medium #Array #String #Hash_Table #Sorting
+// #2024_01_03_Time_304_ms_(91.67%)_Space_39.6_MB_(95.83%)
+
+class Solution {
+    private fun isPossible(a: Int, b: Int): Boolean {
+        val hb = b / 100
+        val ha = a / 100
+        var mind = b % 100
+        val mina = a % 100
+        if (hb == 23 && ha == 0) {
+            return false
+        }
+        if (hb - ha > 1) {
+            return false
+        }
+        if (hb - ha == 1) {
+            mind += 60
+        }
+        return mind - mina < 60
+    }
+
+    private fun isHighAccess(list: List<Int>): Boolean {
+        if (list.size < 3) {
+            return false
+        }
+        var i = 0
+        var j = 1
+        var k = 2
+        while (k < list.size) {
+            val a = list[i++]
+            val b = list[j++]
+            val c = list[k++]
+            if (isPossible(a, c) && isPossible(b, c) && isPossible(a, b)) {
+                return true
+            }
+        }
+        return false
+    }
+
+    private fun stringToInt(str: String): Int {
+        var i = 1000
+        var `val` = 0
+        for (ch in str.toCharArray()) {
+            val n = ch.code - '0'.code
+            `val` += i * n
+            i = i / 10
+        }
+        return `val`
+    }
+
+    fun findHighAccessEmployees(accessTimes: List<List<String>>): List<String> {
+        val map = HashMap<String, MutableList<Int>>()
+        for (list in accessTimes) {
+            val temp = map.getOrDefault(list[0], ArrayList())
+            val `val` = stringToInt(list[1])
+            temp.add(`val`)
+            map[list[0]] = temp
+        }
+        val ans: MutableList<String> = ArrayList()
+        for ((key, temp) in map) {
+            temp.sort()
+            if (isHighAccess(temp)) {
+                ans.add(key)
+            }
+        }
+        return ans
+    }
+}