Benchmark: regex vs filter 2

Script Preparation code:

function removeCharFrom1(str, char) {
  const regex = new RegExp(`${char}`, "gi");
  return str.replace(regex, "");
}

function removeCharFrom2(str, char) {
  return str
    .split("")
    .filter((c) => c != char.toLowerCase() && c != char.toUpperCase())
    .join("");
}

Tests:

regex
removeCharFrom1("ElddzeroD WebDD ddSchool", "d");
filter
removeCharFrom2("ElddzeroD WebDD ddSchool", "d");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
regex
filter

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/120.0.0.0 Safari/537.36 Edg/120.0.0.0

Browser/OS: Chrome 120 on Windows

View result in a separate tab

Test name	Executions per second
regex	1532422.9 Ops/sec
filter	1291981.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what is being tested on MeasureThat.net.

**Benchmark Definition**

The `Script Preparation Code` section contains two functions: `removeCharFrom1` and `removeCharFrom2`. Both functions take a string `str` and a character `char` as input, and their purpose is to remove all occurrences of the specified character from the input string.

However, there's a key difference between the two functions:

*   `removeCharFrom1` uses a regular expression (`RegExp`) to match and replace the specified character. The `g` flag at the end of the regular expression makes it search for all matches in the string, not just the first one.
*   `removeCharFrom2`, on the other hand, splits the input string into an array of characters using the empty string (`""`) as a delimiter, filters out the specified character (converted to lowercase and uppercase), and then joins the remaining characters back together.

**Comparison Options**

The two functions are being compared for their performance in terms of execution speed. The `ExecutionsPerSecond` value in the benchmark results represents how many times each function executes per second on a specific browser, device platform, operating system.

**Pros and Cons: Regular Expressions vs Filter Method**

*   **Regular Expressions (`removeCharFrom1`):**
    *   Pros:
        *   Highly flexible and powerful pattern matching capabilities.
        *   Can be used for more complex string manipulation tasks beyond just removing characters.
    *   Cons:
        *   Typically slower than native JavaScript methods due to the overhead of compiling regular expressions.
        *   More memory-intensive, as it needs to store the compiled regex object.
*   **Filter Method (`removeCharFrom2`):**
    *   Pros:
        *   Generally faster and more lightweight than using regular expressions.
        *   Less memory-intensive, as it doesn't require storing a compiled regex object.
    *   Cons:
        *   Less flexible and powerful pattern matching capabilities compared to regular expressions.
        *   May not be suitable for complex string manipulation tasks.

**Library: `RegExp`**

In the provided `Script Preparation Code`, the `RegExp` library is used. The `RegExp` API provides a way to work with regular expressions in JavaScript, allowing you to search and replace patterns within strings.

**Special JS Feature/ Syntax: Array Methods (e.g., `split()`, `filter()`, `join()`)**

The test case uses native JavaScript array methods (`split()`, `filter()`, and `join()`) for string manipulation. This is a common approach in modern JavaScript development, as these methods are efficient and widely supported.

**Other Alternatives**

If you were to rewrite this benchmark using alternative approaches:

*   **Using a library like `string-replace`**: A lightweight library providing a simple and fast way to replace characters within strings.
*   **Using a regex engine specifically designed for string manipulation, such as `regexx`**: An optimized regex engine that can be used to improve performance in certain use cases.
*   **Implementing a custom loop-based approach**: Using a traditional loop to iterate over the input string and manually remove characters, potentially using character arrays or other data structures.

Keep in mind that these alternatives might not necessarily outperform the original `removeCharFrom1` and `removeCharFrom2` functions, but they could offer different trade-offs in terms of performance, memory usage, or flexibility.

Related benchmarks:

regex vs filter 2 (version: 0)

Comparing performance of: regex vs filter

Created: 2 years ago by: Guest

Jump to the latest result

regex

filter

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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