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Leetcode with dani
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Leetcode with dani
▎Problem A: Milya and Two Arrays Contest: Codeforces Round #2059 Time Limit: 1 second per test Memory Limit: 256 megabytes ▎Problem Denoscription An array is called good if every element x that appears in the array appears at least twice. For example…
t = int(input())
while t>0:
t-=1
lenght = int(input())
arr1 = list(map(int,input().split()))
arr2 = list(map(int,input().split()))
hash1 = set()
hash2 = set()
for i in range(len(arr1)):
hash1.add(arr1[i])
hash2.add(arr2[i])
if (len(hash2)<=1 and len(hash1) <=2 )or (len(hash1)<=1 and len(hash2) <=2 ):
print("NO")
else:
print("YES")
How to Set Up and Use Competitive Programming Tools for Codeforces

Many of you have asked how to use Codeforces efficiently for running and submitting code. It can be difficult to debug submissions when errors occur on random test cases without showing the input and output. Below is the method I use to make the process easier.

Step-by-Step Guide

1. Install Required Extensions
- Open Google Chrome and install the Competitive Companion extension.
- Install CPH Submit from the Chrome Web Store.

2. Set Up VS Code
- Open VS Code and install the Competitive Programming Helper extension.

3. Organizing Your Workspace
- Open VS Code and create a new folder, e.g., Competitive Programming.
- You only need to create this folder once; after that, you can use it for all your problems without needing to create new folders repeatedly.

4. Using Competitive Companion
- Go to a Codeforces problem.
- Click the Competitive Companion extension in your browser.
- This will automatically send the problem statement and test cases to your VS Code environment.

5. Running and Submitting Code
- Write your solution in VS Code.
- Use the Competitive Programming Helper to run test cases locally.
- Submit the solution using the CPH Submit extension.

This setup makes running and debugging Codeforces problems much easier, especially when dealing with hidden test cases. I hope this helps!
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The LeetCode problem "2553. Separate the Digits in an Array" requires transforming an array of positive integers into a new array containing each digit of those integers in the order they appear.

Problem Denoscription:
Given an array of positive integers nums, return an array answer that consists of the digits of each integer in nums after separating them in the same order they appear in nums.

*Example 1:*
Input: nums = [13, 25, 83, 77]
Output: [1, 3, 2, 5, 8, 3, 7, 7]
Explanation:
- The separation of 13 is [1, 3].
- The separation of 25 is [2, 5].
- The separation of 83 is [8, 3].
- The separation of 77 is [7, 7].
answer = [1, 3, 2, 5, 8, 3, 7, 7].


*Example 2:*
Input: nums = [7, 1, 3, 9]
Output: [7, 1, 3, 9]
Explanation: The separation of each integer in nums is itself.
answer = [7, 1, 3, 9].


Approach:
To solve this problem, iterate through each number in the input array, extract its digits, and append them to the result array in the correct order. This can be achieved by converting each number to a string, splitting it into individual characters, and then converting those characters back to integers.

Python Solution:
class Solution:
def separateDigits(self, nums: List[int]) -> List[int]:
result = []
for num in nums:
digits = list(str(num)) # Convert number to string and split into characters
result.extend(int(digit) for digit in digits) # Convert characters back to integers and add to result
return result


Explanation:
1. Initialize an empty list result to store the separated digits.
2. Iterate over each number num in the input list nums.
3. Convert the number to a string and split it into individual characters using list(str(num)).
4. Convert each character back to an integer and extend the result list with these integers.
5. After processing all numbers, return the result list containing all the separated digits.

This approach ensures that the digits are added to the result list in the same order they appear in each number and maintains the order of numbers as they appear in the input list.

For more information and alternative solutions, you can refer to the [LeetCode problem discussion]
class Solution:
def separateDigits(self, nums: List[int]) -> List[int]:
return list(map(int,list(''.join(map(str,nums)))))
Leetcode with dani
can u solve with out changing to string?
class Solution:
def separateDigits(self, nums: List[int]) -> List[int]:
result = []

for num in nums:
digits = []
while num > 0:
digits.append(num % 10) # Extract the last digit
num //= 10 # Remove the last digit

result.extend(digits[::-1]) # Reverse to maintain order

return result
LeetCode Problems with Solutions Easy Questions just to warm up😁

1. Fizz Buzz (Problem Link)

Problem Statement: Print numbers from 1 to n.

• If a number is divisible by 3, return "Fizz".

• If a number is divisible by 5, return "Buzz".

• If a number is divisible by both 3 and 5, return "FizzBuzz".

• Otherwise, return the number as a string.

Python Solution:
class Solution:
def fizzBuzz(self, n: int) -> List[str]:
return ["FizzBuzz" if i % 3 == 0 and i % 5 == 0 else
"Fizz" if i % 3 == 0 else
"Buzz" if i % 5 == 0 else str(i)
for i in range(1, n + 1)]


Time Complexity: O(n)

Space Complexity: O(n)

---

2. Pass the Pillow (Problem Link)

Problem Statement: n people sit in a circle, passing a pillow every second. The pillow starts at position 1. After a given amount of time, return the person who holds the pillow.

Python Solution:
class Solution:
def passThePillow(self, n: int, time: int) -> int:
cycle = (time % (2 * (n - 1)))
return n - abs(n - 1 - cycle)


Time Complexity: O(1)

Space Complexity: O(1)

---

3. Final Value of Variable After Performing Operations (Problem Link)

Problem Statement: Given an array of operations ("++X", "X++", "--X", "X--"), return the final value of X, starting from 0.

Python Solution:
class Solution:
def finalValueAfterOperations(self, operations: List[str]) -> int:
return sum(1 if '+' in op else -1 for op in operations)


Time Complexity: O(n)

Space Complexity: O(1)

---

4. Transformed Array (Problem Link)

Problem Statement: Modify an array by replacing each element with the sum of the absolute differences between it and its neighbors, until it stabilizes.

Python Solution:
class Solution:
def transformedArray(self, arr: List[int]) -> List[int]:
while True:
new_arr = arr[:]
changed = False
for i in range(1, len(arr) - 1):
new_val = (arr[i-1] + arr[i+1]) // 2
if new_val != arr[i]:
new_arr[i] = new_val
changed = True
if not changed:
return arr
arr = new_arr


Time Complexity: O(n²) (worst case)

Space Complexity: O(n)

---

5. Sum of Digits of String After Convert (Problem Link)

Problem Statement: Convert a string to digits (where a=1, b=2, ..., z=26), sum the digits, and repeat this process k times.

Python Solution:
class Solution:
def getLucky(self, s: str, k: int) -> int:
num = ''.join(str(ord(c) - ord('a') + 1) for c in s)
for _ in range(k):
num = str(sum(int(d) for d in num))
return int(num)


Time Complexity: O(n + k)

Space Complexity: O(1)
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1️⃣ Length of Last Word (Problem Link)

Problem: Given a string s consisting of words separated by spaces, return the length of the last word.

Python Solution:
class Solution:
def lengthOfLastWord(self, s: str) -> int:
return len(s.strip().split()[-1])


🟢 Time Complexity: O(n)  
🟢 Space Complexity: O(1)

---

2️⃣ Find Three Consecutive Integers That Sum to a Given Number (Problem Link)

Problem: Find three consecutive integers whose sum equals num. If not possible, return an empty array.

Python Solution:

class Solution:
def sumOfThree(self, num: int) -> List[int]:
if num % 3 != 0:
return []
x = num // 3
return [x - 1, x, x + 1]


🟢 Time Complexity: O(1)  
🟢 Space Complexity: O(1)

---

3️⃣ Rotate String (Problem Link)

Problem: Given two strings s and goal, check if s can become goal after some number of left rotations.

Python Solution:

class Solution:
def rotateString(self, s: str, goal: str) -> bool:
return len(s) == len(goal) and goal in (s + s)


🟢 Time Complexity: O(n)  
🟢 Space Complexity: O(n)

---
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▎Problem Title: Diagonal Traverse

▎Difficulty: Medium

▎Problem Statement:

Given an m x n matrix mat, return an array of all the elements of the matrix in a diagonal order.

▎Examples:

▎Example 1:

Input:

mat = [[1,2,3],
[4,5,6],
[7,8,9]]

Output:
[1,2,4,7,5,3,6,8,9]


▎Example 2:

Input:
mat = [[1,2],
[3,4]]

Output:
[1,2,3,4]


▎Constraints:

• m == mat.length

• n == mat[i].length

• 1 <= m, n <= 10^4

• 1 <= m * n <= 10^4

• -10^5 <= mat[i][j] <= 10^5

▎Notes:

• The output array should represent the elements of the matrix traversed in a diagonal pattern.

• Ensure that the function handles different matrix sizes and shapes correctly.
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Leetcode with dani
▎Problem Title: Diagonal Traverse ▎Difficulty: Medium ▎Problem Statement: Given an m x n matrix mat, return an array of all the elements of the matrix in a diagonal order. ▎Examples: ▎Example 1: Input: mat = [[1,2,3], [4,5,6], [7,8,9]]…
class Solution:
def findDiagonalOrder(self, matrix: List[List[int]]) -> List[int]:
# Check for empty matrix
if not matrix or not matrix[0]:
return []

m, n = len(matrix), len(matrix[0])
result = []
row, col = 0, 0
# direction = 1 means moving up-right; direction = -1 means moving down-left.
direction = 1

while len(result) < m * n:
result.append(matrix[row][col])

if direction == 1: # Moving up-right.
# If we're at the last column, we can only go down.
if col == n - 1:
row += 1
direction = -1
# If we're at the top row, we can only go right.
elif row == 0:
col += 1
direction = -1
else:
row -= 1
col += 1
else: # direction == -1, Moving down-left.
# If we're at the bottom row, we can only go right.
if row == m - 1:
col += 1
direction = 1
# If we're at the first column, we can only go down.
elif col == 0:
row += 1
direction = 1
else:
row += 1
col -= 1

return result
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check out this question
X-Sum
Timur has a chessboard where each square contains a non-negative number. He wants to place a bishop on the board such that the sum of the numbers in all the squares it can attack is maximized. The bishop attacks diagonally in all four directions (both the main diagonal and the anti-diagonal), and there is no limit to how far it can go in any diagonal direction. Note that the square where the bishop is placed is also counted in the sum.

Input:

The first number is an integer t, the number of test cases.
For each test case:
The first line contains two integers, n and m, representing the number of rows and columns.
This is followed by n lines, each containing m non-negative integers. These numbers are the values on the chessboard.
Output:

For each test case, output a single number: the maximum sum of the values from all the squares the bishop can attack when placed optimally on the board.