Solving Leetcode Interviews in Seconds with AI: Divide Array in Sets of K Consecutive Numbers
Introduction
In this blog post, we will explore how to solve the LeetCode problem "1296" using AI. LeetCode is a popular platform for preparing for coding interviews, and with the help of AI tools like Chatmagic, we can generate solutions quickly and efficiently - helping you pass the interviews and get the job offer without having to study for months.
Problem Statement
Given an array of integers nums and a positive integer k, check whether it is possible to divide this array into sets of k consecutive numbers. Return true if it is possible. Otherwise, return false. Example 1: Input: nums = [1,2,3,3,4,4,5,6], k = 4 Output: true Explanation: Array can be divided into [1,2,3,4] and [3,4,5,6]. Example 2: Input: nums = [3,2,1,2,3,4,3,4,5,9,10,11], k = 3 Output: true Explanation: Array can be divided into [1,2,3] , [2,3,4] , [3,4,5] and [9,10,11]. Example 3: Input: nums = [1,2,3,4], k = 3 Output: false Explanation: Each array should be divided in subarrays of size 3. Constraints: 1 <= k <= nums.length <= 105 1 <= nums[i] <= 109 Note: This question is the same as 846: https://leetcode.com/problems/hand-of-straights/
Explanation
Here's a solution to the problem, incorporating efficiency and clarity:
- Frequency Counting and Iteration: Use a
Counterto efficiently determine the frequency of each number in the input array. Iterate through the sorted keys of theCounter. - Consecutive Sequence Check: For each number, check if we can form a consecutive sequence of length
kstarting from that number. If any number in the sequence has insufficient frequency, it's impossible to divide the array as required. Frequency Update: If a sequence is successfully formed, decrement the count of each number in the sequence in the
Counter.Runtime Complexity: O(N log N) due to sorting the keys of the counter.
- Storage Complexity: O(N) in the worst case for the
Counter.
Code
from collections import Counter
def isPossibleDivide(nums, k):
"""
Checks if it is possible to divide the array into sets of k consecutive numbers.
Args:
nums: A list of integers.
k: A positive integer.
Returns:
True if it is possible to divide the array, False otherwise.
"""
if len(nums) % k != 0:
return False
count = Counter(nums)
for x in sorted(count.keys()):
if count[x] > 0:
for i in range(k):
if count[x + i] < count[x]:
return False
count[x + i] -= count[x]
return True