Added tasks 73-78

Author: javadev

README.md

@@ -103,6 +103,7 @@
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 | 0034 |[Find First and Last Position of Element in Sorted Array](src/main/ts/g0001_0100/s0034_find_first_and_last_position_of_element_in_sorted_array)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Binary_Search, Big_O_Time_O(log_n)_Space_O(1) | 45 | 98.05
 | 0033 |[Search in Rotated Sorted Array](src/main/ts/g0001_0100/s0033_search_in_rotated_sorted_array)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Binary_Search, Big_O_Time_O(log_n)_Space_O(1) | 43 | 98.54
+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
 
 #### Day 2 Binary Search
 
@@ -146,6 +147,7 @@
 
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+| 0078 |[Subsets](src/main/ts/g0001_0100/s0078_subsets)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Bit_Manipulation, Backtracking, Big_O_Time_O(2^n)_Space_O(n*2^n) | 50 | 94.61
 
 #### Day 10 Recursion Backtracking
 
@@ -259,6 +261,7 @@
 
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+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
 
 #### Day 9
 
@@ -919,6 +922,7 @@
 
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+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
 | 0033 |[Search in Rotated Sorted Array](src/main/ts/g0001_0100/s0033_search_in_rotated_sorted_array)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Binary_Search, Big_O_Time_O(log_n)_Space_O(1) | 43 | 98.54
 
 #### Day 9 Binary Search Tree
@@ -952,6 +956,7 @@
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 | 0003 |[Longest Substring Without Repeating Characters](src/main/ts/g0001_0100/s0003_longest_substring_without_repeating_characters)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, String, Hash_Table, Sliding_Window, Big_O_Time_O(n)_Space_O(1) | 65 | 90.77
+| 0076 |[Minimum Window Substring](src/main/ts/g0001_0100/s0076_minimum_window_substring)| Hard | Top_100_Liked_Questions, Top_Interview_Questions, String, Hash_Table, Sliding_Window, Big_O_Time_O(s.length())_Space_O(1) | 82 | 82.17
 
 #### Day 15 Tree
 
@@ -1016,6 +1021,7 @@
 |-|-|-|-|-|-
 | 0001 |[Two Sum](src/main/ts/g0001_0100/s0001_two_sum)| Easy | Top_100_Liked_Questions, Top_Interview_Questions, Array, Hash_Table, Big_O_Time_O(n)_Space_O(n) | 54 | 91.72
 | 0055 |[Jump Game](src/main/ts/g0001_0100/s0055_jump_game)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Dynamic_Programming, Greedy, Big_O_Time_O(n)_Space_O(1) | 58 | 91.95
+| 0075 |[Sort Colors](src/main/ts/g0001_0100/s0075_sort_colors)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Two_Pointers, Big_O_Time_O(n)_Space_O(1) | 43 | 97.41
 | 0041 |[First Missing Positive](src/main/ts/g0001_0100/s0041_first_missing_positive)| Hard | Top_100_Liked_Questions, Top_Interview_Questions, Array, Hash_Table, Big_O_Time_O(n)_Space_O(n) | 55 | 98.51
 
 #### Udemy Two Pointers
@@ -1040,7 +1046,9 @@
 
 | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- -->
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+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
 | 0048 |[Rotate Image](src/main/ts/g0001_0100/s0048_rotate_image)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Math, Matrix, Big_O_Time_O(n^2)_Space_O(1) | 45 | 95.31
+| 0073 |[Set Matrix Zeroes](src/main/ts/g0001_0100/s0073_set_matrix_zeroes)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Hash_Table, Matrix, Big_O_Time_O(m*n)_Space_O(1) | 61 | 97.66
 | 0056 |[Merge Intervals](src/main/ts/g0001_0100/s0056_merge_intervals)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Big_O_Time_O(n_log_n)_Space_O(n) | 84 | 92.06
 
 #### Udemy Linked List
@@ -1083,6 +1091,7 @@
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 | 0022 |[Generate Parentheses](src/main/ts/g0001_0100/s0022_generate_parentheses)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, String, Dynamic_Programming, Backtracking, Big_O_Time_O(2^n)_Space_O(n) | 60 | 62.03
 | 0039 |[Combination Sum](src/main/ts/g0001_0100/s0039_combination_sum)| Medium | Top_100_Liked_Questions, Array, Backtracking, Big_O_Time_O(2^n)_Space_O(n+2^n) | 65 | 86.86
+| 0078 |[Subsets](src/main/ts/g0001_0100/s0078_subsets)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Bit_Manipulation, Backtracking, Big_O_Time_O(2^n)_Space_O(n*2^n) | 50 | 94.61
 | 0017 |[Letter Combinations of a Phone Number](src/main/ts/g0001_0100/s0017_letter_combinations_of_a_phone_number)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, String, Hash_Table, Backtracking, Big_O_Time_O(4^n)_Space_O(n) | 52 | 79.11
 | 0046 |[Permutations](src/main/ts/g0001_0100/s0046_permutations)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Backtracking, Big_O_Time_O(n*n!)_Space_O(n+n!) | 56 | 96.26
 
@@ -1124,6 +1133,7 @@
 
 | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- --> | <!-- -->
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+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
 
 #### Day 6 String
 
@@ -1184,6 +1194,7 @@
 
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+| 0075 |[Sort Colors](src/main/ts/g0001_0100/s0075_sort_colors)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Two_Pointers, Big_O_Time_O(n)_Space_O(1) | 43 | 97.41
 | 0056 |[Merge Intervals](src/main/ts/g0001_0100/s0056_merge_intervals)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Big_O_Time_O(n_log_n)_Space_O(n) | 84 | 92.06
 
 #### Day 3 Array
@@ -1303,6 +1314,11 @@
 | 0438 |[Find All Anagrams in a String](src/main/ts/g0401_0500/s0438_find_all_anagrams_in_a_string)| Medium | Top_100_Liked_Questions, String, Hash_Table, Sliding_Window, Algorithm_II_Day_5_Sliding_Window, Programming_Skills_II_Day_12, Level_1_Day_12_Sliding_Window/Two_Pointer, Big_O_Time_O(n+m)_Space_O(1) | 69 | 96.69
 | 0437 |[Path Sum III](src/main/ts/g0401_0500/s0437_path_sum_iii)| Medium | Top_100_Liked_Questions, Depth_First_Search, Tree, Binary_Tree, Level_2_Day_7_Tree, Big_O_Time_O(n)_Space_O(n) | 68 | 86.71
 | 0416 |[Partition Equal Subset Sum](src/main/ts/g0401_0500/s0416_partition_equal_subset_sum)| Medium | Top_100_Liked_Questions, Array, Dynamic_Programming, Level_2_Day_13_Dynamic_Programming, Big_O_Time_O(n*sums)_Space_O(n*sums) | 91 | 74.38
+| 0078 |[Subsets](src/main/ts/g0001_0100/s0078_subsets)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Bit_Manipulation, Backtracking, Algorithm_II_Day_9_Recursion_Backtracking, Udemy_Backtracking/Recursion, Big_O_Time_O(2^n)_Space_O(n*2^n) | 50 | 94.61
+| 0076 |[Minimum Window Substring](src/main/ts/g0001_0100/s0076_minimum_window_substring)| Hard | Top_100_Liked_Questions, Top_Interview_Questions, String, Hash_Table, Sliding_Window, Level_2_Day_14_Sliding_Window/Two_Pointer, Big_O_Time_O(s.length())_Space_O(1) | 82 | 82.17
+| 0075 |[Sort Colors](src/main/ts/g0001_0100/s0075_sort_colors)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Sorting, Two_Pointers, Data_Structure_II_Day_2_Array, Udemy_Arrays, Big_O_Time_O(n)_Space_O(1) | 43 | 97.41
+| 0074 |[Search a 2D Matrix](src/main/ts/g0001_0100/s0074_search_a_2d_matrix)| Medium | Top_100_Liked_Questions, Array, Binary_Search, Matrix, Data_Structure_I_Day_5_Array, Algorithm_II_Day_1_Binary_Search, Binary_Search_I_Day_8, Level_2_Day_8_Binary_Search, Udemy_2D_Arrays/Matrix, Big_O_Time_O(endRow+endCol)_Space_O(1) | 45 | 96.82
+| 0073 |[Set Matrix Zeroes](src/main/ts/g0001_0100/s0073_set_matrix_zeroes)| Medium | Top_100_Liked_Questions, Top_Interview_Questions, Array, Hash_Table, Matrix, Udemy_2D_Arrays/Matrix, Big_O_Time_O(m*n)_Space_O(1) | 61 | 97.66
 | 0072 |[Edit Distance](src/main/ts/g0001_0100/s0072_edit_distance)| Hard | Top_100_Liked_Questions, String, Dynamic_Programming, Algorithm_II_Day_18_Dynamic_Programming, Dynamic_Programming_I_Day_19, Udemy_Dynamic_Programming, Big_O_Time_O(n^2)_Space_O(n2) | 68 | 95.20
 | 0070 |[Climbing Stairs](src/main/ts/g0001_0100/s0070_climbing_stairs)| Easy | Top_100_Liked_Questions, Top_Interview_Questions, Dynamic_Programming, Math, Memoization, Algorithm_I_Day_12_Dynamic_Programming, Dynamic_Programming_I_Day_2, Level_1_Day_10_Dynamic_Programming, Udemy_Dynamic_Programming, Big_O_Time_O(n)_Space_O(n) | 44 | 94.58
 | 0064 |[Minimum Path Sum](src/main/ts/g0001_0100/s0064_minimum_path_sum)| Medium | Top_100_Liked_Questions, Array, Dynamic_Programming, Matrix, Dynamic_Programming_I_Day_16, Udemy_Dynamic_Programming, Big_O_Time_O(m*n)_Space_O(m*n) | 48 | 99.67

src/main/ts/g0001_0100/s0073_set_matrix_zeroes/readme.md

@@ -0,0 +1,71 @@
+[![](https://img.shields.io/github/stars/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Stars&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript)
+[![](https://img.shields.io/github/forks/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Fork%20me%20on%20GitHub%20&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript/fork)
+
+## 73\. Set Matrix Zeroes
+
+Medium
+
+Given an `m x n` integer matrix `matrix`, if an element is `0`, set its entire row and column to `0`'s, and return _the matrix_.
+
+You must do it [in place](https://en.wikipedia.org/wiki/In-place_algorithm).
+
+**Example 1:**
+
+![](https://assets.leetcode.com/uploads/2020/08/17/mat1.jpg)
+
+**Input:** matrix = \[\[1,1,1],[1,0,1],[1,1,1]]
+
+**Output:** [[1,0,1],[0,0,0],[1,0,1]] 
+
+**Example 2:**
+
+![](https://assets.leetcode.com/uploads/2020/08/17/mat2.jpg)
+
+**Input:** matrix = \[\[0,1,2,0],[3,4,5,2],[1,3,1,5]]
+
+**Output:** [[0,0,0,0],[0,4,5,0],[0,3,1,0]] 
+
+**Constraints:**
+
+*   `m == matrix.length`
+*   `n == matrix[0].length`
+*   `1 <= m, n <= 200`
+*   <code>-2<sup>31</sup> <= matrix[i][j] <= 2<sup>31</sup> - 1</code>
+
+**Follow up:**
+
+*   A straightforward solution using `O(mn)` space is probably a bad idea.
+*   A simple improvement uses `O(m + n)` space, but still not the best solution.
+*   Could you devise a constant space solution?
+
+## Solution
+
+```typescript
+/*
+ Do not return anything, modify matrix in-place instead.
+ */
+function setZeroes(matrix: number[][]): void { //NOSONAR
+    const cols: number[] = []
+    const rows: number[] = []
+    for (let i = 0; i < matrix.length; i++) {
+        for (let j = 0; j < matrix[i].length; j++) {
+            if (matrix[i][j] === 0) {
+                if (!rows.includes(i)) rows.push(i)
+                if (!cols.includes(j)) cols.push(j)
+            }
+        }
+    }
+    for (const row of matrix) {
+        for (const col of cols) {
+            row[col] = 0
+        }
+    }
+    for (let j = 0; j < rows.length; j++) {
+        for (let i = 0; i < matrix[j].length; i++) {
+            matrix[rows[j]][i] = 0
+        }
+    }
+}
+
+export { setZeroes }
+```

src/main/ts/g0001_0100/s0074_search_a_2d_matrix/readme.md

@@ -0,0 +1,58 @@
+[![](https://img.shields.io/github/stars/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Stars&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript)
+[![](https://img.shields.io/github/forks/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Fork%20me%20on%20GitHub%20&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript/fork)
+
+## 74\. Search a 2D Matrix
+
+Medium
+
+Write an efficient algorithm that searches for a value in an `m x n` matrix. This matrix has the following properties:
+
+*   Integers in each row are sorted from left to right.
+*   The first integer of each row is greater than the last integer of the previous row.
+
+**Example 1:**
+
+![](https://assets.leetcode.com/uploads/2020/10/05/mat.jpg)
+
+**Input:** matrix = \[\[1,3,5,7],[10,11,16,20],[23,30,34,60]], target = 3
+
+**Output:** true 
+
+**Example 2:**
+
+![](https://assets.leetcode.com/uploads/2020/10/05/mat2.jpg)
+
+**Input:** matrix = \[\[1,3,5,7],[10,11,16,20],[23,30,34,60]], target = 13
+
+**Output:** false 
+
+**Constraints:**
+
+*   `m == matrix.length`
+*   `n == matrix[i].length`
+*   `1 <= m, n <= 100`
+*   <code>-10<sup>4</sup> <= matrix[i][j], target <= 10<sup>4</sup></code>
+
+## Solution
+
+```typescript
+function searchMatrix(matrix: number[][], target: number): boolean {
+    const [m, n] = [matrix.length, matrix[0].length]
+    let [l, r] = [0, m * n - 1]
+    while (l <= r) {
+        const mid = Math.floor((l + r) / 2)
+        const row = Math.floor(mid / n)
+        const col = mid % n
+        const el = matrix[row][col]
+        if (el === target) return true
+        if (el < target) {
+            l = mid + 1
+        } else {
+            r = mid - 1
+        }
+    }
+    return false
+}
+
+export { searchMatrix }
+```

src/main/ts/g0001_0100/s0075_sort_colors/readme.md

@@ -0,0 +1,65 @@
+[![](https://img.shields.io/github/stars/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Stars&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript)
+[![](https://img.shields.io/github/forks/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Fork%20me%20on%20GitHub%20&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript/fork)
+
+## 75\. Sort Colors
+
+Medium
+
+Given an array `nums` with `n` objects colored red, white, or blue, sort them **[in-place](https://en.wikipedia.org/wiki/In-place_algorithm)** so that objects of the same color are adjacent, with the colors in the order red, white, and blue.
+
+We will use the integers `0`, `1`, and `2` to represent the color red, white, and blue, respectively.
+
+You must solve this problem without using the library's sort function.
+
+**Example 1:**
+
+**Input:** nums = [2,0,2,1,1,0]
+
+**Output:** [0,0,1,1,2,2] 
+
+**Example 2:**
+
+**Input:** nums = [2,0,1]
+
+**Output:** [0,1,2] 
+
+**Example 3:**
+
+**Input:** nums = [0]
+
+**Output:** [0] 
+
+**Example 4:**
+
+**Input:** nums = [1]
+
+**Output:** [1] 
+
+**Constraints:**
+
+*   `n == nums.length`
+*   `1 <= n <= 300`
+*   `nums[i]` is `0`, `1`, or `2`.
+
+**Follow up:** Could you come up with a one-pass algorithm using only constant extra space?
+
+## Solution
+
+```typescript
+const sortColors = (nums: number[]) => {
+    let i = 0
+    let num2s = 0
+    while (i < nums.length) {
+        const num = nums.shift()
+        if (num === 0) nums.splice(nums.length - i, 0, 0)
+        else if (num === 1) nums.splice(nums.length - num2s, 0, 1)
+        else {
+            num2s++
+            nums.push(2)
+        }
+        i++
+    }
+}
+
+export { sortColors }
+```

src/main/ts/g0001_0100/s0076_minimum_window_substring/readme.md

@@ -0,0 +1,90 @@
+[![](https://img.shields.io/github/stars/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Stars&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript)
+[![](https://img.shields.io/github/forks/LeetCode-in-TypeScript/LeetCode-in-TypeScript?label=Fork%20me%20on%20GitHub%20&style=flat-square)](https://github.com/LeetCode-in-TypeScript/LeetCode-in-TypeScript/fork)
+
+## 76\. Minimum Window Substring
+
+Hard
+
+Given two strings `s` and `t` of lengths `m` and `n` respectively, return _the **minimum window substring** of_ `s` _such that every character in_ `t` _(**including duplicates**) is included in the window. If there is no such substring__, return the empty string_ `""`_._
+
+The testcases will be generated such that the answer is **unique**.
+
+A **substring** is a contiguous sequence of characters within the string.
+
+**Example 1:**
+
+**Input:** s = "ADOBECODEBANC", t = "ABC"
+
+**Output:** "BANC"
+
+**Explanation:** The minimum window substring "BANC" includes 'A', 'B', and 'C' from string t. 
+
+**Example 2:**
+
+**Input:** s = "a", t = "a"
+
+**Output:** "a"
+
+**Explanation:** The entire string s is the minimum window. 
+
+**Example 3:**
+
+**Input:** s = "a", t = "aa"
+
+**Output:** ""
+
+**Explanation:** Both 'a's from t must be included in the window. Since the largest window of s only has one 'a', return empty string. 
+
+**Constraints:**
+
+*   `m == s.length`
+*   `n == t.length`
+*   <code>1 <= m, n <= 10<sup>5</sup></code>
+*   `s` and `t` consist of uppercase and lowercase English letters.
+
+**Follow up:** Could you find an algorithm that runs in `O(m + n)` time?
+
+## Solution
+
+```typescript
+function minWindow(s: string, t: string): string { //NOSONAR
+    const map: Map<string, number> = new Map()
+    for (const char of t) {
+        if (map.has(char)) {
+            map.set(char, map.get(char) + 1)
+        } else {
+            map.set(char, 1)
+        }
+    }
+    let minStartIdx = -Infinity,
+        minEndIdx = Infinity
+    let remainingChars = t.length
+    let startIdx = 0
+    for (let endIdx = 0; endIdx < s.length; endIdx++) {
+        const endChar = s[endIdx]
+        if (map.has(endChar)) {
+            map.set(endChar, map.get(endChar) - 1)
+            if (map.get(endChar) >= 0) {
+                remainingChars--
+            }
+        }
+        while (remainingChars === 0) {
+            if (minEndIdx - minStartIdx > endIdx - startIdx) {
+                minStartIdx = startIdx
+                minEndIdx = endIdx
+            }
+            const startChar = s[startIdx]
+            if (map.has(startChar)) {
+                map.set(startChar, map.get(startChar) + 1)
+            }
+            if (map.get(startChar) > 0) {
+                remainingChars++
+            }
+            startIdx++
+        }
+    }
+    return minStartIdx === -Infinity ? '' : s.slice(minStartIdx, minEndIdx + 1)
+}
+
+export { minWindow }
+```