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For loop vs Regex & Reduce
(version: 0)
Comparing performance of:
Using For Loop vs Using Regex and Reduce
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
Using For Loop
const generateTestText = (length) => { return "A".repeat(length).replace(/A{75}/g, "$&\n"); // Insert newline every 75 characters }; const text = generateTestText(1000000); const measurePerformance = (text) => { const charLimitPerLine = 75; const maxLines = 7; let totalLines = 0; let currentLineLength = 0; // Loop through the text and increase the total lines when a line break is found or it // has reached the char limit per line for (let i = 0; i < text.length; i++) { currentLineLength++; if (text[i] === '\n' || text[i] === '\r' || currentLineLength >= charLimitPerLine) { totalLines++; currentLineLength = 0; } } // Account any remaining character in the last line if (currentLineLength > 0) { totalLines++; } return totalLines > maxLines; }; measurePerformance(text);
Using Regex and Reduce
const generateTestText = (length) => { return "A".repeat(length).replace(/A{75}/g, "$&\n"); // Insert newline every 75 characters }; const text = generateTestText(1000000); const measurePerformance = (text) => { const charLimitPerLine = 75; const maxLines = 7; const lines = text.split(/\r?\n/); const totalLines = lines.reduce((count, line) => { return count + Math.ceil(line.length / charLimitPerLine); }, 0); return totalLines > maxLines || note.text.length > 530; } measurePerformance(text);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
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Test case name
Result
Using For Loop
Using Regex and Reduce
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36
Browser/OS:
Chrome 126 on Windows
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<iframe src="https://measurethat.net/Embed?id=533683" width="100%" height="500px"></iframe>
Using For Loop
164/s
Using Regex and Reduce
142/s
View exact numbers
Test name
Executions per second
✓
Using For Loop
164 Ops/sec
Using Regex and Reduce
142 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested. **Benchmark Purpose** The benchmark compares the performance of two approaches: using a traditional `for` loop versus using regular expressions (Regex) with the `reduce()` method to count the number of lines in a large string. The goal is to determine which approach is faster for this specific task. **Options Compared** 1. **For Loop**: This approach uses a traditional `for` loop to iterate through the characters in the string, incrementing a counter whenever a newline character (`\n`) is encountered. 2. **Regex and Reduce**: This approach uses Regex to split the string into individual lines and then applies the `reduce()` method to count the number of lines. **Pros and Cons** * **For Loop**: + Pros: Simple, easy to understand, and can be optimized for specific use cases (e.g., using a faster looping mechanism). + Cons: Can be slow for large inputs due to the overhead of the loop and conditional checks. * **Regex and Reduce**: + Pros: Can handle complex string manipulation and splitting tasks efficiently. The `reduce()` method provides a concise way to accumulate counts. + Cons: May have higher overhead due to the complexity of Regex patterns and the additional function call. **Library/Functionality Used** The benchmark uses JavaScript's built-in `String.prototype.split()` method with a Regex pattern to split the string into individual lines. The `reduce()` method is used to count the number of lines, which accumulates the counts by applying a callback function to each line and returning the total count. **Special JS Feature/Syntax** None mentioned explicitly in this benchmark definition. **Other Considerations** * The benchmark uses a relatively small input size (1000000 characters) for testing. * The `charLimitPerLine` variable and `maxLines` constant are used to control the threshold for counting lines, which may affect the performance difference between the two approaches. * The `for` loop approach might be more suitable for systems with limited memory or resources due to its simplicity and lack of unnecessary function calls. **Alternatives** Other alternatives for handling string manipulation tasks include: 1. **String.prototype.forEach()**: Instead of using a loop, you can use `forEach()` to iterate over the characters in the string. 2. **Array.from() and Array.prototype.reduce()**: You can convert the string to an array using `Array.from()` and then use `reduce()` to count the number of lines. 3. **Use a dedicated library or module for string manipulation**, such as UglifyJS or String-Parse, which may provide optimized implementations for common tasks. In conclusion, this benchmark helps users understand the performance difference between traditional `for` loops and Regex with `reduce()` when dealing with large strings. By analyzing the results, developers can make informed decisions about choosing the most suitable approach for their specific use cases.
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