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How to Solve Count Items Matching a Rule Problem

Master the Count Items Matching a Rule LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Easy#1773

LeetCode Problem

Count Items Matching a Rule

You are given an array items, where each items[i] = [typei, colori, namei] describes the type, color, and name of the ith item. You are also given a rule represented by two strings, ruleKey and ruleValue. The ith item is said to match the rule if one of the following is true: Return the number of items that match the given rule.

ArrayString

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Problem Breakdown

Understanding the Count Items Matching a Rule Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

EasyProblem #1773

LeetCode

Count Items Matching a Rule

How Phantom Code Helps

Get real-time assistance for Count Items Matching a Rule problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input

items = [["phone","blue","pixel"],["computer","silver","lenovo"],["phone","gold","iphone"]], ruleKey = "color", ruleValue = "silver"

Output

# Example 2

Input

items = [["phone","blue","pixel"],["computer","silver","phone"],["phone","gold","iphone"]], ruleKey = "type", ruleValue = "phone"

Output

Constraints

1 <= items.length <= 104

1 <= typei.length, colori.length, namei.length, ruleValue.length <= 10

ruleKey is equal to either "type", "color", or "name".

All strings consist only of lowercase letters.

How Phantom Code Helps with LeetCode Problems

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Solve Count Items Matching a Rule — You are given an array items, where each items[i] = [typei, colori, namei] descr...

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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Undetectability Checklist

Run compatibility test before interviews

Use recommended Zoom version settings

Enable advanced screen capture options

Verify native desktop architecture

Test with screen recording software

Platform Compatibility

Zoom

Supported

Google Meet

Supported

HackerRank

Supported

CodeSignal

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CoderPad

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Teams

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Undetectability and technical details

Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.

Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Count Items Matching a Rule and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Count Items Matching a Rule 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 Items Matching a Rule?

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 Items Matching a Rule?

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 Items Matching a Rule 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 Items Matching a Rule 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 Items Matching a Rule 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 Items Matching a Rule 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 Items Matching a Rule 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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