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Battle of strings
(version: 0)
Comparing performance of:
regexReplace vs arrayReplace vs collapseSpaces
Created:
8 years ago
by:
Guest
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Script Preparation code:
var demoStr = 'This is a demo of a long string with multiple spaces occasionally added throughout it.'; function regexReplace(str) { return str.replace(/\s+/g, ' '); }; function arrayReplace(str) { let resultArr = []; const strArr = str.split(' '); for (let i = 0; i < strArr.length; i++) { if (strArr[i] != '') { resultArr.push(strArr[i]); } } return resultArr.join(' '); }; function collapseSpaces(s) { let result = ''; for (let i = 0; i < s.length; i++) { const c = s.charAt(i); result += c; if (c === ' ') { while (i < s.length - 1 && s.charAt(i + 1) === ' ') { i++; } } } return result; }
Tests:
regexReplace
regexReplace(demoStr)
arrayReplace
arrayReplace(demoStr)
collapseSpaces
collapseSpaces(demoStr)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
regexReplace
arrayReplace
collapseSpaces
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is a complex task, and the provided benchmark test cases cover various approaches to achieving the same goal: removing multiple consecutive spaces from a string. **Benchmark Definition JSON** The benchmark definition represents three test cases: 1. `regexReplace(demoStr)`: This function uses a regular expression (`/\\s+/g`) to replace one or more whitespace characters with a single space. 2. `arrayReplace(demoStr)`: This function splits the input string into an array, iterates over it, and pushes non-empty strings back into the array, joined by spaces. 3. `collapseSpaces(s)`: This function manually checks each character in the input string; if it's a space, it collapses adjacent spaces until it encounters another non-space character. **Options Compared** The three approaches differ in their implementation: * **Regex-based approach (`regexReplace`)**: Uses regular expressions to simplify the process of removing multiple consecutive spaces. + Pros: - Concise and efficient code - Well-supported by most browsers + Cons: - May be slower than other methods due to the overhead of regular expression compilation * **Array-based approach (`arrayReplace`)**: Splits the input string into an array, iterates over it, and joins the non-empty strings. + Pros: - Easy to understand and implement - Fast and efficient in most cases + Cons: - Creates temporary arrays and may consume more memory than other methods * **Manual iteration approach (`collapseSpaces`)**: Iterates over each character in the input string, collapsing adjacent spaces manually. + Pros: - Low overhead and minimal memory usage + Cons: - Longer and more complex code compared to other methods **Library Usage** None of the provided functions use external libraries. However, if you were to implement this benchmark using a library like Lodash (a popular JavaScript utility library), you might use its `compact` function, which can simplify the array-based approach. **Special JS Features or Syntax** The benchmark uses standard JavaScript features such as: * Regular expressions (`/\\s+/g`) * Array methods (`split`, `join`, `push`, `indexOf`) * Looping constructs (`for`) * String manipulation techniques (`charAt`, `length`) Note that the manual iteration approach (`collapseSpaces`) demonstrates a more low-level, character-by-character processing style, which can be useful for educational purposes or when working with specific edge cases. **Other Alternatives** If you were to implement this benchmark using other approaches, some alternatives could include: * Using a string replacement library like `string-replace` (a lightweight, polyfill-based solution) * Implementing the `trim()` method using regular expressions * Utilizing a more advanced string processing library like `js-string-regex` * Employing a custom implementation of the `reduce()` method for array manipulation Keep in mind that these alternatives might introduce additional overhead, complexity, or dependencies compared to the original benchmark.
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