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src/main/kotlin/g3201_3300/s3248_snake_in_matrix/Solution.kt
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package g3201_3300.s3248_snake_in_matrix | ||
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// #Easy #Array #String #Simulation #2024_08_13_Time_174_ms_(90.91%)_Space_37.5_MB_(34.09%) | ||
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class Solution { | ||
fun finalPositionOfSnake(n: Int, commands: List<String>): Int { | ||
var x = 0 | ||
var y = 0 | ||
for (command in commands) { | ||
when (command) { | ||
"UP" -> if (x > 0) { | ||
x-- | ||
} | ||
"DOWN" -> if (x < n - 1) { | ||
x++ | ||
} | ||
"LEFT" -> if (y > 0) { | ||
y-- | ||
} | ||
"RIGHT" -> if (y < n - 1) { | ||
y++ | ||
} | ||
} | ||
} | ||
return (x * n) + y | ||
} | ||
} |
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38 changes: 38 additions & 0 deletions
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src/main/kotlin/g3201_3300/s3248_snake_in_matrix/readme.md
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3248\. Snake in Matrix | ||
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Easy | ||
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There is a snake in an `n x n` matrix `grid` and can move in **four possible directions**. Each cell in the `grid` is identified by the position: `grid[i][j] = (i * n) + j`. | ||
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The snake starts at cell 0 and follows a sequence of commands. | ||
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You are given an integer `n` representing the size of the `grid` and an array of strings `commands` where each `command[i]` is either `"UP"`, `"RIGHT"`, `"DOWN"`, and `"LEFT"`. It's guaranteed that the snake will remain within the `grid` boundaries throughout its movement. | ||
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Return the position of the final cell where the snake ends up after executing `commands`. | ||
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**Example 1:** | ||
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**Input:** n = 2, commands = ["RIGHT","DOWN"] | ||
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**Output:** 3 | ||
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**Explanation:** | ||
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 | ||
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**Example 2:** | ||
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**Input:** n = 3, commands = ["DOWN","RIGHT","UP"] | ||
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**Output:** 1 | ||
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**Explanation:** | ||
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 | ||
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**Constraints:** | ||
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* `2 <= n <= 10` | ||
* `1 <= commands.length <= 100` | ||
* `commands` consists only of `"UP"`, `"RIGHT"`, `"DOWN"`, and `"LEFT"`. | ||
* The input is generated such the snake will not move outside of the boundaries. |
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src/main/kotlin/g3201_3300/s3249_count_the_number_of_good_nodes/Solution.kt
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package g3201_3300.s3249_count_the_number_of_good_nodes | ||
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// #Medium #Depth_First_Search #Tree #2024_08_13_Time_1190_ms_(100.00%)_Space_127.6_MB_(77.27%) | ||
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class Solution { | ||
private var count = 0 | ||
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fun countGoodNodes(edges: Array<IntArray>): Int { | ||
val n = edges.size + 1 | ||
val nodes = arrayOfNulls<TNode>(n) | ||
nodes[0] = TNode() | ||
for (edge in edges) { | ||
val a = edge[0] | ||
val b = edge[1] | ||
if (nodes[b] != null && nodes[a] == null) { | ||
nodes[a] = TNode() | ||
nodes[b]!!.children.add(nodes[a]) | ||
} else { | ||
if (nodes[a] == null) { | ||
nodes[a] = TNode() | ||
} | ||
if (nodes[b] == null) { | ||
nodes[b] = TNode() | ||
} | ||
nodes[a]!!.children.add(nodes[b]) | ||
} | ||
} | ||
sizeOfTree(nodes[0]) | ||
return count | ||
} | ||
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private fun sizeOfTree(node: TNode?): Int { | ||
if (node!!.size > 0) { | ||
return node.size | ||
} | ||
val children: List<TNode?> = node.children | ||
if (children.isEmpty()) { | ||
count++ | ||
node.size = 1 | ||
return 1 | ||
} | ||
val size = sizeOfTree(children[0]) | ||
var sum = size | ||
var goodNode = true | ||
for (i in 1 until children.size) { | ||
val child = children[i] | ||
if (size != sizeOfTree(child)) { | ||
goodNode = false | ||
} | ||
sum += sizeOfTree(child) | ||
} | ||
if (goodNode) { | ||
count++ | ||
} | ||
sum++ | ||
node.size = sum | ||
return sum | ||
} | ||
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private class TNode { | ||
var size: Int = -1 | ||
var children: MutableList<TNode?> = ArrayList() | ||
} | ||
} |
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src/main/kotlin/g3201_3300/s3249_count_the_number_of_good_nodes/readme.md
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3249\. Count the Number of Good Nodes | ||
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Medium | ||
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There is an **undirected** tree with `n` nodes labeled from `0` to `n - 1`, and rooted at node `0`. You are given a 2D integer array `edges` of length `n - 1`, where <code>edges[i] = [a<sub>i</sub>, b<sub>i</sub>]</code> indicates that there is an edge between nodes <code>a<sub>i</sub></code> and <code>b<sub>i</sub></code> in the tree. | ||
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A node is **good** if all the subtrees rooted at its children have the same size. | ||
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Return the number of **good** nodes in the given tree. | ||
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A **subtree** of `treeName` is a tree consisting of a node in `treeName` and all of its descendants. | ||
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**Example 1:** | ||
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**Input:** edges = [[0,1],[0,2],[1,3],[1,4],[2,5],[2,6]] | ||
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**Output:** 7 | ||
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**Explanation:** | ||
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 | ||
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All of the nodes of the given tree are good. | ||
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**Example 2:** | ||
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**Input:** edges = [[0,1],[1,2],[2,3],[3,4],[0,5],[1,6],[2,7],[3,8]] | ||
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**Output:** 6 | ||
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**Explanation:** | ||
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 | ||
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There are 6 good nodes in the given tree. They are colored in the image above. | ||
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**Example 3:** | ||
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**Input:** edges = [[0,1],[1,2],[1,3],[1,4],[0,5],[5,6],[6,7],[7,8],[0,9],[9,10],[9,12],[10,11]] | ||
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**Output:** 12 | ||
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**Explanation:** | ||
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 | ||
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All nodes except node 9 are good. | ||
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**Constraints:** | ||
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* <code>2 <= n <= 10<sup>5</sup></code> | ||
* `edges.length == n - 1` | ||
* `edges[i].length == 2` | ||
* <code>0 <= a<sub>i</sub>, b<sub>i</sub> < n</code> | ||
* The input is generated such that `edges` represents a valid tree. |
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src/main/kotlin/g3201_3300/s3250_find_the_count_of_monotonic_pairs_i/Solution.kt
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package g3201_3300.s3250_find_the_count_of_monotonic_pairs_i | ||
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// #Hard #Array #Dynamic_Programming #Math #Prefix_Sum #Combinatorics | ||
// #2024_08_13_Time_241_ms_(100.00%)_Space_39.2_MB_(100.00%) | ||
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import kotlin.math.max | ||
import kotlin.math.min | ||
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class Solution { | ||
fun countOfPairs(nums: IntArray): Int { | ||
val maxShift = IntArray(nums.size) | ||
maxShift[0] = nums[0] | ||
var currShift = 0 | ||
for (i in 1 until nums.size) { | ||
currShift = max(currShift, (nums[i] - maxShift[i - 1])) | ||
maxShift[i] = min(maxShift[i - 1], (nums[i] - currShift)) | ||
if (maxShift[i] < 0) { | ||
return 0 | ||
} | ||
} | ||
val cases = getAllCases(nums, maxShift) | ||
return cases[nums.size - 1]!![maxShift[nums.size - 1]] | ||
} | ||
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private fun getAllCases(nums: IntArray, maxShift: IntArray): Array<IntArray?> { | ||
var currCases: IntArray | ||
val cases = arrayOfNulls<IntArray>(nums.size) | ||
cases[0] = IntArray(maxShift[0] + 1) | ||
for (i in cases[0]!!.indices) { | ||
cases[0]!![i] = i + 1 | ||
} | ||
for (i in 1 until nums.size) { | ||
currCases = IntArray(maxShift[i] + 1) | ||
currCases[0] = 1 | ||
for (j in 1 until currCases.size) { | ||
val prevCases = | ||
if (j < cases[i - 1]!!.size | ||
) cases[i - 1]!![j] | ||
else cases[i - 1]!![cases[i - 1]!!.size - 1] | ||
currCases[j] = (currCases[j - 1] + prevCases) % (1000000000 + 7) | ||
} | ||
cases[i] = currCases | ||
} | ||
return cases | ||
} | ||
} |
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src/main/kotlin/g3201_3300/s3250_find_the_count_of_monotonic_pairs_i/readme.md
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3250\. Find the Count of Monotonic Pairs I | ||
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Hard | ||
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You are given an array of **positive** integers `nums` of length `n`. | ||
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We call a pair of **non-negative** integer arrays `(arr1, arr2)` **monotonic** if: | ||
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* The lengths of both arrays are `n`. | ||
* `arr1` is monotonically **non-decreasing**, in other words, `arr1[0] <= arr1[1] <= ... <= arr1[n - 1]`. | ||
* `arr2` is monotonically **non-increasing**, in other words, `arr2[0] >= arr2[1] >= ... >= arr2[n - 1]`. | ||
* `arr1[i] + arr2[i] == nums[i]` for all `0 <= i <= n - 1`. | ||
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Return the count of **monotonic** pairs. | ||
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Since the answer may be very large, return it **modulo** <code>10<sup>9</sup> + 7</code>. | ||
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**Example 1:** | ||
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**Input:** nums = [2,3,2] | ||
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**Output:** 4 | ||
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**Explanation:** | ||
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The good pairs are: | ||
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1. `([0, 1, 1], [2, 2, 1])` | ||
2. `([0, 1, 2], [2, 2, 0])` | ||
3. `([0, 2, 2], [2, 1, 0])` | ||
4. `([1, 2, 2], [1, 1, 0])` | ||
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**Example 2:** | ||
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**Input:** nums = [5,5,5,5] | ||
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**Output:** 126 | ||
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**Constraints:** | ||
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* `1 <= n == nums.length <= 2000` | ||
* `1 <= nums[i] <= 50` |
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src/main/kotlin/g3201_3300/s3251_find_the_count_of_monotonic_pairs_ii/Solution.kt
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package g3201_3300.s3251_find_the_count_of_monotonic_pairs_ii | ||
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// #Hard #Array #Dynamic_Programming #Math #Prefix_Sum #Combinatorics | ||
// #2024_08_13_Time_291_ms_(100.00%)_Space_47_MB_(100.00%) | ||
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import kotlin.math.max | ||
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class Solution { | ||
fun countOfPairs(nums: IntArray): Int { | ||
var prefixZeros = 0 | ||
val n = nums.size | ||
// Calculate prefix zeros | ||
for (i in 1 until n) { | ||
prefixZeros += max((nums[i] - nums[i - 1]), 0) | ||
} | ||
val row = n + 1 | ||
val col = nums[n - 1] + 1 - prefixZeros | ||
if (col <= 0) { | ||
return 0 | ||
} | ||
// Initialize dp array | ||
val dp = IntArray(col) | ||
dp.fill(1) | ||
// Fill dp array | ||
for (r in 1 until row) { | ||
for (c in 1 until col) { | ||
dp[c] = (dp[c] + dp[c - 1]) % MOD | ||
} | ||
} | ||
return dp[col - 1] | ||
} | ||
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companion object { | ||
private const val MOD = 1000000007 | ||
} | ||
} |
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src/main/kotlin/g3201_3300/s3251_find_the_count_of_monotonic_pairs_ii/readme.md
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3251\. Find the Count of Monotonic Pairs II | ||
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Hard | ||
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You are given an array of **positive** integers `nums` of length `n`. | ||
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We call a pair of **non-negative** integer arrays `(arr1, arr2)` **monotonic** if: | ||
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* The lengths of both arrays are `n`. | ||
* `arr1` is monotonically **non-decreasing**, in other words, `arr1[0] <= arr1[1] <= ... <= arr1[n - 1]`. | ||
* `arr2` is monotonically **non-increasing**, in other words, `arr2[0] >= arr2[1] >= ... >= arr2[n - 1]`. | ||
* `arr1[i] + arr2[i] == nums[i]` for all `0 <= i <= n - 1`. | ||
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Return the count of **monotonic** pairs. | ||
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Since the answer may be very large, return it **modulo** <code>10<sup>9</sup> + 7</code>. | ||
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**Example 1:** | ||
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**Input:** nums = [2,3,2] | ||
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**Output:** 4 | ||
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**Explanation:** | ||
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The good pairs are: | ||
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1. `([0, 1, 1], [2, 2, 1])` | ||
2. `([0, 1, 2], [2, 2, 0])` | ||
3. `([0, 2, 2], [2, 1, 0])` | ||
4. `([1, 2, 2], [1, 1, 0])` | ||
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**Example 2:** | ||
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**Input:** nums = [5,5,5,5] | ||
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**Output:** 126 | ||
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**Constraints:** | ||
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* `1 <= n == nums.length <= 2000` | ||
* `1 <= nums[i] <= 1000` |
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