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HomeLeetCode ProblemsDesign Cancellable Function
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How to Solve Design Cancellable Function Problem

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Hard#2650
LeetCode Problem

Design Cancellable Function

Sometimes you have a long running task, and you may wish to cancel it before it completes. To help with this goal, write a function cancellable that accepts a generator object and returns an array of two values: a cancel function and a promise. You may assume the generator function will only yield promises. It is your function's responsibility to pass the values resolved by the promise back to the generator. If the promise rejects, your function should throw that error back to the generator. If the cancel callback is called before the generator is done, your function should throw an error back to the generator. That error should be the string "Cancelled" (Not an Error object). If the error was caught, the returned promise should resolve with the next value that was yielded or returned. Otherwise, the promise should reject with the thrown error. No more code should be executed. When the generator is done, the promise your function returned should resolve the value the generator returned. If, however, the generator throws an error, the returned promise should reject with the error. An example of how your code would be used: If instead cancel() was not called or was called after t=100ms, the promise would have resolved 5.

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Problem Breakdown

Understanding the Design Cancellable Function Problem

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

Problem Statement

Sometimes you have a long running task, and you may wish to cancel it before it completes. To help with this goal, write a function cancellable that accepts a generator object and returns an array of two values: a cancel function and a promise. You may assume the generator function will only yield promises. It is your function's responsibility to pass the values resolved by the promise back to the generator. If the promise rejects, your function should throw that error back to the generator. If the cancel callback is called before the generator is done, your function should throw an error back to the generator. That error should be the string "Cancelled" (Not an Error object). If the error was caught, the returned promise should resolve with the next value that was yielded or returned. Otherwise, the promise should reject with the thrown error. No more code should be executed. When the generator is done, the promise your function returned should resolve the value the generator returned. If, however, the generator throws an error, the returned promise should reject with the error. An example of how your code would be used: If instead cancel() was not called or was called after t=100ms, the promise would have resolved 5.

HardProblem #2650
LeetCode

Design Cancellable Function

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How Phantom Code Helps

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Examples

# Example 1

Input
—
Output
—

# Example 2

Input
generatorFunction = function*() { return 42; } cancelledAt = 100
Output
{"resolved": 42}

# Example 3

Input
generatorFunction = function*() { const msg = yield new Promise(res => res("Hello")); throw `Error: ${msg}`; } cancelledAt = null
Output
{"rejected": "Error: Hello"}

# Example 4

Input
generatorFunction = function*() { yield new Promise(res => setTimeout(res, 200)); return "Success"; } cancelledAt = 100
Output
{"rejected": "Cancelled"}

# Example 5

Input
generatorFunction = function*() { let result = 0; yield new Promise(res => setTimeout(res, 100)); result += yield new Promise(res => res(1)); yield new Promise(res => setTimeout(res, 100)); result += yield new Promise(res => res(1)); return result; } cancelledAt = null
Output
{"resolved": 2}

# Example 6

Input
generatorFunction = function*() { let result = 0; try { yield new Promise(res => setTimeout(res, 100)); result += yield new Promise(res => res(1)); yield new Promise(res => setTimeout(res, 100)); result += yield new Promise(res => res(1)); } catch(e) { return result; } return result; } cancelledAt = 150
Output
{"resolved": 1}

# Example 7

Input
generatorFunction = function*() { try { yield new Promise((resolve, reject) => reject("Promise Rejected")); } catch(e) { let a = yield new Promise(resolve => resolve(2)); let b = yield new Promise(resolve => resolve(2)); return a + b; }; } cancelledAt = null
Output
{"resolved": 4}

Constraints

cancelledAt == null or 0 <= cancelledAt <= 1000
generatorFunction returns a generator object

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Solve Design Cancellable Function — Sometimes you have a long running task, and you may wish to cancel it before it ...

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def solve(input):
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Frequently Asked Questions

Common questions about solving Design Cancellable Function and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Design Cancellable Function 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 Design Cancellable Function?
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 Design Cancellable Function?
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 Design Cancellable Function 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 Design Cancellable Function 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 Design Cancellable Function 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 Design Cancellable Function 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 Design Cancellable Function 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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