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How to Solve Count Pairs That Form a Complete Day I Problem
Master the Count Pairs That Form a Complete Day I LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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LeetCode ProblemCount Pairs That Form a Complete Day I
Given an integer array hours representing times in hours, return an integer denoting the number of pairs i, j where i < j and hours[i] + hours[j] forms a complete day. A complete day is defined as a time duration that is an exact multiple of 24 hours. For example, 1 day is 24 hours, 2 days is 48 hours, 3 days is 72 hours, and so on.
ArrayHash TableCounting
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Problem Breakdown
Understanding the Count Pairs That Form a Complete Day I Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
Given an integer array hours representing times in hours, return an integer denoting the number of pairs i, j where i < j and hours[i] + hours[j] forms a complete day. A complete day is defined as a time duration that is an exact multiple of 24 hours. For example, 1 day is 24 hours, 2 days is 48 hours, 3 days is 72 hours, and so on.
EasyProblem #3184
LeetCodeCount Pairs That Form a Complete Day I
Related Topics
ArrayHash TableCounting
How Phantom Code Helps
Get real-time assistance for Count Pairs That Form a Complete Day I problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
hours = [12,12,30,24,24]
Output
2
# Example 2
Input
hours = [72,48,24,3]
Output
3
Constraints
1 <= hours.length <= 100
1 <= hours[i] <= 109
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Solve Count Pairs That Form a Complete Day I — Given an integer array hours representing times in hours, return an integer deno...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
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Frequently Asked Questions
Common questions about solving Count Pairs That Form a Complete Day I and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Count Pairs That Form a Complete Day I during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Count Pairs That Form a Complete Day I?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Count Pairs That Form a Complete Day I?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Count Pairs That Form a Complete Day I type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Count Pairs That Form a Complete Day I interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Count Pairs That Form a Complete Day I during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Count Pairs That Form a Complete Day I style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Count Pairs That Form a Complete Day I interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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