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How to Solve Bag of Tokens Problem
Master the Bag of Tokens LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.
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Start Free for WindowsMedium#948
LeetCode ProblemBag of Tokens
You start with an initial power of power, an initial score of 0, and a bag of tokens given as an integer array tokens, where each tokens[i] denotes the value of tokeni. Your goal is to maximize the total score by strategically playing these tokens. In one move, you can play an unplayed token in one of the two ways (but not both for the same token): Return the maximum possible score you can achieve after playing any number of tokens.
ArrayTwo PointersGreedySorting
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Problem Breakdown
Understanding the Bag of Tokens Problem
Let's break down this LeetCode problem and understand what makes it challenging in interview settings.
Problem Statement
You start with an initial power of power, an initial score of 0, and a bag of tokens given as an integer array tokens, where each tokens[i] denotes the value of tokeni. Your goal is to maximize the total score by strategically playing these tokens. In one move, you can play an unplayed token in one of the two ways (but not both for the same token): Return the maximum possible score you can achieve after playing any number of tokens.
MediumProblem #948
LeetCodeBag of Tokens
Related Topics
ArrayTwo PointersGreedySorting
How Phantom Code Helps
Get real-time assistance for Bag of Tokens problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
tokens = [100], power = 50
Output
0
# Example 2
Input
tokens = [200,100], power = 150
Output
1
# Example 3
Input
tokens = [100,200,300,400], power = 200
Output
2
Constraints
0 <= tokens.length <= 1000
0 <= tokens[i], power < 104
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Solve Bag of Tokens — You start with an initial power of power, an initial score of 0, and a bag of to...
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 Bag of Tokens and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Bag of Tokens 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 Bag of Tokens?
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 Bag of Tokens?
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 Bag of Tokens 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 Bag of Tokens 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 Bag of Tokens 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 Bag of Tokens 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 Bag of Tokens 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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