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sillyString 2
(version: 0)
Comparing performance of:
slice vs regex
Created:
2 years ago
by:
Guest
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Tests:
slice
const word = "Hello World"; const vowels = 'aeiou'; let newWord = ''; word.split('').forEach((index, i ) => { if (vowels.includes(word[i])) { newWord += word.slice(i, i+1) + 'b' + word[i]; } else { newWord += word.slice(i, i+1); } }); return newWord;
regex
const word = "Hello World"; return word.replace(/[aeiou]/gi, (match) => match + 'b' + match);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
slice
regex
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! The provided JSON represents two benchmark definitions: **Benchmark Definition** * `Name`: "sillyString 2" (a descriptive name for the benchmark) * `Description`: null (no description is provided) * `Script Preparation Code` and `Html Preparation Code`: both are empty, indicating that no specific code needs to be run before or after the test The two individual test cases are: **Test Case 1: "slice"` * The benchmark definition is a JavaScript function that takes no arguments: ```javascript const word = "Hello World"; const vowels = 'aeiou'; let newWord = ''; word.split('').forEach((index, i) => { if (vowels.includes(word[i])) { newWord += word.slice(i, i+1) + 'b' + word[i]; } else { newWord += word.slice(i, i+1); } }); return newWord; ``` This function splits the input string "Hello World" into individual characters and checks if each character is a vowel. If it is, the corresponding vowel from the vowels string is appended to `newWord`, followed by the original character, an 'b', and the vowel. If not, only the original character is appended. **Test Case 2: "regex"` * The benchmark definition is another JavaScript function that takes no arguments: ```javascript const word = "Hello World"; return word.replace(/[aeiou]/gi, (match) => match + 'b' + match); ``` This function uses a regular expression to replace each vowel in the input string with the original character followed by an 'b'. Now, let's discuss the options compared: **Option 1: Using `split()` and iteration** * This approach uses the `split()` method to split the input string into individual characters, iterating over them using the `forEach` method. * Pros: + Can handle non-string inputs (e.g., arrays or objects) by using a string conversion function + Allows for more control over the iteration process (e.g., using a different iterator) * Cons: + Can be slower due to the creation of an array and the overhead of iteration + May not work correctly with certain types of input data (e.g., non-ASCII characters) **Option 2: Using regular expressions** * This approach uses a single `replace()` method call with a regular expression to replace each vowel in the input string. * Pros: + Can be faster due to the optimized regex engine + Often more concise and readable than the iteration-based approach * Cons: + May not work correctly with certain types of input data (e.g., non-ASCII characters) + Limited control over the replacement process The provided benchmark results show: * For "regex", Chrome 114 on Desktop (Windows) has an average execution rate of 1,882,876 executions per second. * For "slice", Chrome 114 on Desktop (Windows) has an average execution rate of 2,058,233 executions per second. Other considerations: * The use of `includes()` and the regex engine's optimization may affect performance for certain types of input data. * The choice between iteration-based and regex-based approaches depends on personal preference, code readability, and specific requirements. Alternatives to these benchmarks could include: * Using different programming languages (e.g., Python, Java) or environments (e.g., Node.js, Rust) * Examining the performance of different JavaScript engines (e.g., V8, SpiderMonkey) * Investigating the impact of various optimization techniques on performance (e.g., caching, memoization) * Comparing the performance of microbenchmarks with more complex, real-world scenarios
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