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How to Solve Count Nice Pairs in an Array Problem
Master the Count Nice Pairs in an Array LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#1814
LeetCode ProblemCount Nice Pairs in an Array
You are given an array nums that consists of non-negative integers. Let us define rev(x) as the reverse of the non-negative integer x. For example, rev(123) = 321, and rev(120) = 21. A pair of indices (i, j) is nice if it satisfies all of the following conditions: Return the number of nice pairs of indices. Since that number can be too large, return it modulo 109 + 7.
ArrayHash TableMathCounting
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Problem Breakdown
Understanding the Count Nice Pairs in an Array Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You are given an array nums that consists of non-negative integers. Let us define rev(x) as the reverse of the non-negative integer x. For example, rev(123) = 321, and rev(120) = 21. A pair of indices (i, j) is nice if it satisfies all of the following conditions: Return the number of nice pairs of indices. Since that number can be too large, return it modulo 109 + 7.
MediumProblem #1814
LeetCodeCount Nice Pairs in an Array
Related Topics
ArrayHash TableMathCounting
How Phantom Code Helps
Get real-time assistance for Count Nice Pairs in an Array problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
nums = [42,11,1,97]
Output
2
# Example 2
Input
nums = [13,10,35,24,76]
Output
4
Constraints
1 <= nums.length <= 105
0 <= nums[i] <= 109
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Solve Count Nice Pairs in an Array — You are given an array nums that consists of non-negative integers. Let us defin...
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def solve(input):
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Frequently Asked Questions
Common questions about solving Count Nice Pairs in an Array and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Count Nice Pairs in an Array 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 Nice Pairs in an Array?
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 Nice Pairs in an Array?
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 Nice Pairs in an Array 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 Nice Pairs in an Array 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 Nice Pairs in an Array 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 Nice Pairs in an Array 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 Nice Pairs in an Array 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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