Leetcode-Swift-Solution

How to crack Leetcode problems with Swift!

Before going to any specific Leet code problems, let’s go through some really helpful tricks and tips you need to know. With those tips, you will be able to handle most of the easy problems without too much issue. At the mean time, if you are not familiar with Algorithm big O concept, please check some other places before hand.

There is one more thing I want to mention is each time after you code your solution even AC, make sure you know exactly your algorithm time and space complexity. See if it’s the best or there’s other way to make it better. In other words, whether your solution is O(n^2) can be optimized to O(NlogN) or even O(n).

Here is some cheatsheet from BigO CheatSheet

Image of bigO Image of Cheatsheet

Use `dictionary or set` instead of 2 for loops.

Two Sum - LeetCode Given an array of integers, return indices of the two numbers such that they add up to a specific target.

You may assume that each input would have exactly one solution, and you may not use the same element twice.

Original Approach

for i in 0 ..< nums.count {
    for j in i+1 ..< nums.coun {
        if (nums[j] == target - nums[i]) {
                return [i, j]
      }
   }
}

With dictionary we can optimize the Brute Force from o(n^2) to o(n) with O(n) space complexity

for (index, value) in nums.enumerated(){
            if let existingIndex = dict[target - value] {
                //find one
                resArray.append(existingIndex)
                resArray.append(index)
                return resArray
            } else {
                dict[value] = index
            }
        }

Indexes of String in Swift 4

Unfortunately, you can not directly access characters by index with subscript in String in swift4. You need either make an String Extension or convert string into an Array.

let array = Array(str)
let c = array[1]

//or make a subscript extension 
extension String {
    subscript (i: Int) -> String {
        return String(self[index(startIndex, offsetBy: i)])
    }
    
    subscript(r: CountableClosedRange<Int>) -> String {
        let start = index(startIndex, offsetBy: r.lowerBound)
        let end = index(startIndex, offsetBy: r.upperBound)
        return String(self[Range(start ..< end)])
    }
    
    subscript (r: Range<Int>) -> String {
        let start = index(startIndex, offsetBy: r.lowerBound)
        let end = index(startIndex, offsetBy: r.upperBound)
        return String(self[Range(start ..< end)])
    }
}

// Example
"abcde"[0]      // a
"abcde"[0...2]  // ab
"abcde"[2..<4]  // cd

About Heap, Stack, Queue or PriorityQueue in Swift

Unfortunately, there’s also no such sort of algorithm For stack or queue, we can easily use array alternatively.

var stack = [Int]()
    
func push(a: Int) {
    self.stack.append(a)
}
func pop(){
    stack = Array(stack.dropLast())
}
    
var queue = [Int]()
    
func enqueue(a: Int) {
   self.queue.append(a)
}
func dequeue(){
   queue = Array(queue.dropFirst())
}

For heap and PQ, you can move over to a more detailed solution here: Swift Algorithm Club: Heap and Priority Queue Data Structure | raywenderlich.com

Recursions

To be honest there are a lot problems you can solve easily with recursions. Especially with tree data structure, for example inorder_preorder_postorder tree traversal problem. Binary Tree Inorder Traversal - LeetCode

//recursive
func inorderTraversal(_ root: TreeNode?) -> [Int] {
    var ret = [Int]()
    inorderTraversalHelper(root, &ret)
    return ret
}
    
func inorderTraversalHelper(_ root: TreeNode?, _ ret: inout [Int]){
    if root == nil { return }
    inorderTraversalHelper(root?.left, &ret)
    ret.append(root!.val)
    inorderTraversalHelper(root?.right, &ret)
}

Backtracking

With the following template, a lot of other similar problems can be solved.

Subsets - LeetCode
Subsets II - LeetCode
Permutations - LeetCode
Combination Sum II - LeetCode
Combination Sum - LeetCode
Palindrome Partitioning - LeetCode

func subsets2(nums: [Int]) -> [[Int]] {
    var res = [[Int]]()
    var path = [Int]()
    let nums = nums.sorted(by: <)
    _dfs(&res, &path, nums2: nums, 0)
    return res
}
    
private func _dfs(_ res: inout [[Int]], _ path: inout [Int], nums2: [Int], _ index: Int) {
   res.append(Array(path))
        
   for i in index ..< nums2.count {
      path.append(nums2[i])
      _dfs(&res, &path, nums2: nums2, i + 1)
      path.removeLast()
    }
}

Sliding window

(Solution provided by : ChaoyangHe - Profile - LeetCode)

public List<Integer> slidingWindowTemplateByHarryChaoyangHe(String s, String t) {
        //init a collection or int value to save the result according the question.
        List<Integer> result = new LinkedList<>();
        if(t.length()> s.length()) return result;
        
        //create a hashmap to save the Characters of the target substring.
        //(K, V) = (Character, Frequence of the Characters)
        Map<Character, Integer> map = new HashMap<>();
        for(char c : t.toCharArray()){
            map.put(c, map.getOrDefault(c, 0) + 1);
        }
        //maintain a counter to check whether match the target string.
        int counter = map.size();//must be the map size, NOT the string size because the char may be duplicate.
        
        //Two Pointers: begin - left pointer of the window; end - right pointer of the window
        int begin = 0, end = 0;
        
        //the length of the substring which match the target string.
        int len = Integer.MAX_VALUE; 
        
        //loop at the begining of the source string
        while(end < s.length()){
            
            char c = s.charAt(end);//get a character
            
            if( map.containsKey(c) ){
                map.put(c, map.get(c)-1);// plus or minus one
                if(map.get(c) == 0) counter--;//modify the counter according the requirement(different condition).
            }
            end++;
            
            //increase begin pointer to make it invalid/valid again
            while(counter == 0 /* counter condition. different question may have different condition */){
                
                char tempc = s.charAt(begin);//***be careful here: choose the char at begin pointer, NOT the end pointer
                if(map.containsKey(tempc)){
                    map.put(tempc, map.get(tempc) + 1);//plus or minus one
                    if(map.get(tempc) > 0) counter++;//modify the counter according the requirement(different condition).
                }
                
                /* save / update(min/max) the result if find a target*/
                // result collections or result int value
                
                begin++;
            }
        }
        return result;
    }

Swift version template:

func minWindow(_ s: String, _ t: String) -> String {
        if s.count == 0 || t.count == 0 { return "" }
        if s.count < t.count { return "" }
        let s = Array(s)
        
        var dict: [Character: Int] = [:]
        var counter = 0
        var begin = 0
        var end = 0
        var length = Int.max
        var head = 0
        
        for n in t {
            let c = (dict[n] ?? 0) + 1
            dict[n] = c
        }
        
        counter = dict.keys.count
        
        while(end < s.count){
            if dict[s[end]] != nil {
                let newValue = dict[s[end]]! - 1
                dict[s[end]] = newValue
                if newValue == 0 {
                    counter -= 1
                }
            }
            
            end += 1
            
            while counter == 0 {
                let frontChar = s[begin]
                if dict[frontChar] != nil {
                    let count = dict[frontChar]! + 1
                    dict[frontChar] = count
                    
                    if count > 0{
                        counter += 1
                    }
                }
                
                if end - begin < length {
                    length = end - begin
                    head = begin
                }
                
                begin += 1
            }
        }
        
        if length == Int.max { return "" }
        return String(s[head ... head + length - 1])
    }

This can be also used to solve the following problems:

Minimum Window Substring - LeetCode
Longest Substring Without Repeating Characters - LeetCode
Substring with Concatenation of All Words - LeetCode
Longest substring
Find All Anagrams in a String - LeetCode

Binary search / Quick Sort

Sometime the they may ask you to solve the problem within O(logN) or O(NlogN) so the first thing come into your mind is : For Binary search: average time complexity is O(log n) and for quick sort, average time complexity is O(NlogN)

Tree

Tree is the most popular type of question in LeetCode as well as in interview. Mostly interviewer will ask a question if algorithm is part of the interview because it’s not a very complicated data structure and not as hard as graph or DP. It is usually be able to solved within 20-30 mins. For example, if two trees are same tree Same Tree - LeetCode Symmetric Tree - LeetCode Lowest Common Ancestor of a Binary Tree - LeetCode Validate Binary Search Tree - LeetCode

LRU Cache

`unicodeScalars` is more efficient Than `Character`. If your code runs timeout should consider the following to revise your solution in `Leetcode`

if s.count <= 1 {return true}
let lowerS = s.lowercased()
var ints = [UInt32]()
for scalars in lowerS.unicodeScalars {
    ints.append(scalars.value)
}
```#### To Remove empty string and none letters characters
```swift
let cleaned = s.lowercased().filter{ c in
    return c.description.rangeOfCharacter(from: CharacterSet.alphanumerics) != nil && String(c) != “”
}
```#### How to create initialized 2d array
```swift
var visited: [[Bool]] = Array(repeating: Array(repeating: false, count: grid[0].count), count: grid.count)

How to loop through an array in reverse ( you will need it a lot)

let array = ["Apples", "Peaches", "Plums"]

for item in array.reversed() {
    print("Found \(item)")
}

for (index, item) in array.reversed().enumerated() {
    print("Found \(item) at position \(index)")
}

for i in stride(from: 5, to: 0, by: -1) {
    print(i)
}
//prints 5, 4, 3, 2, 1

for i in stride(from: 5, through: 0, by: -1) {
    print(i)
}
//prints 5, 4, 3, 2, 1, 0

When doing 2 pointers, mid element should be calculated in the following way:

let mi = lo + (hi - lo) / 2

Simple way to trim an array from an index

nums[i...] = []
//to clean array after i index.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

README.md

README.md

Leetcode-Swift-Solution

Use `dictionary or set` instead of 2 for loops.

Indexes of String in Swift 4

About Heap, Stack, Queue or PriorityQueue in Swift

Recursions

Backtracking

Sliding window

Binary search / Quick Sort

Tree

LRU Cache

`unicodeScalars` is more efficient Than `Character`. If your code runs timeout should consider the following to revise your solution in `Leetcode`

How to loop through an array in reverse ( you will need it a lot)

When doing 2 pointers, mid element should be calculated in the following way:

Simple way to trim an array from an index

LinkedList

Stack

Queue

Search

String

Tree

Math

Heap

Graph

DP

FLAG

Files

README.md

Latest commit

History

README.md

File metadata and controls

Leetcode-Swift-Solution

Use dictionary or set instead of 2 for loops.

Indexes of String in Swift 4

About Heap, Stack, Queue or PriorityQueue in Swift

Recursions

Backtracking

Sliding window

Binary search / Quick Sort

Tree

LRU Cache

unicodeScalars is more efficient Than Character. If your code runs timeout should consider the following to revise your solution in Leetcode

How to loop through an array in reverse ( you will need it a lot)

When doing 2 pointers, mid element should be calculated in the following way:

Simple way to trim an array from an index

LinkedList

Stack

Queue

Search

String

Tree

Math

Heap

Graph

DP

FLAG

Use `dictionary or set` instead of 2 for loops.

`unicodeScalars` is more efficient Than `Character`. If your code runs timeout should consider the following to revise your solution in `Leetcode`