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string checking
(version: 0)
Comparing performance of:
simple vs super
Created:
4 years ago
by:
Guest
Jump to the latest result
Tests:
simple
const regex = /.?#/g const backspaceCompare = (S, T) => { return S.replace(regex, '') === T.replace(regex, '') } backspaceCompare('123456789', '123456789')
super
const backspaceCompare = (songOne, songTwo) => { let i = songOne.length; let j = songTwo.length; let skipSongOne = 0; let skipSongTwo = 0; const songOneArray = songOne.split(''); const songTwoArray = songTwo.split(''); while (i > 0 || j > 0) { while (i > 0) { // Processing backspaces for songOne if (songOneArray[i] === '#') { skipSongOne++; i--; } else if (skipSongOne > 0) { skipSongOne--; i--; } else { break; } } while (j > 0) { // Processing backspaces for songTwo if (songTwoArray[j] === '#') { skipSongTwo++; j--; } else if (skipSongTwo > 0) { skipSongTwo--; j--; } else { break; } } if (i >= 0 && j >= 0 && songOneArray[i] !== songTwoArray[j]) { return false; } // One String's iterator finishes up before another. Edge Case #3 if (i < 0 || j < 0) { return false; } i--; j--; } return true; } backspaceCompare('123456789', '123456789')
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Suite status:
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Test case name
Result
simple
super
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net. **Benchmark Definition** The provided JSON represents a benchmark definition, which is a set of rules and guidelines for creating and running benchmarks. In this case, there are no specific details about the benchmark, such as its purpose or the problem it aims to solve. The "Name" field suggests that the benchmark is related to string checking, but more on that later. **Test Cases** There are two individual test cases: 1. **Simple**: This test case contains a short JavaScript function `backspaceCompare` that takes two strings as input and returns `true` if they are equivalent after removing backspaces from both strings. The implementation uses a regular expression to remove backspaces (`/.?#/g`) and then compares the resulting strings. 2. **Super**: This test case is similar to the "Simple" test, but it includes additional logic to process backspaces in the strings. It splits each string into an array of characters, skips over backspaces by incrementing a counter, and then compares the arrays. **Options Compared** In this benchmark, two options are compared: 1. **Short implementation with regular expression**: The "Simple" test case uses a short implementation with a regular expression to remove backspaces from both strings. 2. **Long implementation with array processing**: The "Super" test case uses a longer implementation that splits each string into an array of characters, skips over backspaces by incrementing counters, and then compares the arrays. **Pros and Cons** The choice between these two approaches depends on several factors: * **Performance**: The short implementation with regular expressions is likely to be faster due to its simplicity and optimized regex engine. However, it may not handle edge cases correctly. * **Code readability and maintainability**: The long implementation with array processing is more verbose but provides more explicit logic for handling backspaces. This can make the code easier to understand and maintain. * **Robustness**: The "Super" test case is more robust because it handles edge cases (e.g., when one string's iterator finishes before another) correctly. **Library** There is no explicitly mentioned library in these test cases, but JavaScript's built-in `String.prototype.replace()` method with a regex pattern (`/./g`) can be considered a de facto standard for removing backspaces from strings. **Special JS Features or Syntax** The use of arrow functions (`=>`), template literals (e.g., `'123456789'`), and the `const` keyword (used to declare variables) are all part of modern JavaScript syntax. These features were introduced in ECMAScript 2015 (ES6). **Alternatives** Other alternatives for removing backspaces from strings include: * Using a custom function with a loop * Utilizing a library like `lodash` or `underscore` * Leveraging a DOM manipulation approach using `document.createElement()` and `innerHTML` Keep in mind that the choice of implementation depends on the specific use case, performance requirements, and personal coding style. In conclusion, this benchmark compares two approaches to removing backspaces from strings: a short implementation with regular expressions and a longer implementation with array processing. The choice between these options depends on factors such as performance, code readability, robustness, and maintenance needs.
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