Benchmark: For loop vs Regex & Reduce

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>

Previous results

Test case name	Result
Using For Loop
Using Regex and Reduce

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):

LLMs can make mistakes. Check important info.

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.

Latest run results:

Run details: (Test run date: 4 months 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

View result in a separate tab

Test name	Executions per second
Using For Loop	164.4 Ops/sec
Using Regex and Reduce	142.4 Ops/sec

Related benchmarks:

For loop vs Regex & Reduce (version: 0)

Comparing performance of: Using For Loop vs Using Regex and Reduce

Created: 4 months ago by: Guest

Jump to the latest result

Using For Loop

Using Regex and Reduce

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one month ago):