Benchmark: random test without meaning v2

Script Preparation code:

var arr = [];
var arr2 = [2, 6, 9, 1554, 3333, 9999]
for (var i = 0; i < 12345; i++) {
  arr[i] = i;
}

Tests:

forEach
arr.forEach(item => { arr = arr.filter(item2 => item2 !== item) });
filter
arr.filter(item2 => arr2.some(item => item !== item2))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
forEach
filter

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

I'll break down the provided JSON data and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The benchmark is defined as a set of JavaScript microbenchmarks that test the performance of specific functions in the `arr` array. The script preparation code initializes an empty array `arr` and populates it with values from another predefined array `arr2`. This setup ensures that each test case has a fixed, large dataset to work with.

**Options Compared**

The benchmark compares two approaches:

1. **forEach**: This option uses the `forEach` loop to iterate over the `arr` array and remove elements by filtering them out.
2. **filter**: This option uses the `filter` method to create a new array containing only the elements that pass a test (in this case, being different from themselves).

**Pros and Cons**

*   **forEach**:
    *   Pros: It's a simple, straightforward approach using a standard JavaScript method.
    *   Cons: The `arr = arr.filter()` syntax is not idiomatic. This will cause the original array to be reassigned on every iteration, which can lead to unexpected behavior and performance issues.
*   **filter**:
    *   Pros: It's a well-established and efficient way to filter elements in JavaScript arrays.
    *   Cons: The `some()` method is used with an arrow function that directly compares two values (`item !== item2`). This comparison is not meaningful, as it will always return false.

**Library Usage**

None of the test cases explicitly uses any libraries.

**Special JS Features or Syntax**

The benchmark makes use of a few features:

*   **Arrow Functions**: The `forEach` and `filter` test cases use arrow functions (e.g., `item => item !== item2`) for concise, readable syntax.
*   **Destructuring**: Although not explicitly used in this benchmark, JavaScript allows destructuring assignments (e.g., `arr = [2, 6, 9, 1554, 3333, 9999]`).

**Alternatives**

Other alternatives could be explored:

*   **Set operations**: Instead of filtering or using `forEach`, consider using set operations to remove elements. This might provide a more efficient solution.
*   **Spreads and reduces**: Another approach is to use the spread operator (`...`) and reduce function to achieve similar results without iterating over the array.
*   **Native implementations**: If you're targeting specific browsers, look into native implementations for `forEach` and `filter`, as their performance might be optimized for.

**Best Practices**

When creating benchmarks like this one:

1.  Use a clear, descriptive name for your benchmark to ensure others can easily understand the test's purpose.
2.  Provide context for each test case by specifying what function or feature is being tested.
3.  Consider including additional metadata, such as hardware specifications or operating system details, to provide more accurate results.
4.  Ensure that the script preparation code accurately reflects the real-world scenario or problem you're trying to solve.
5.  Document and version your benchmarking script to ensure reproducibility.

Keep in mind that the specific implementation of this benchmark is for illustrative purposes, and actual benchmarks may require more detailed consideration of performance characteristics and optimizations.

Related benchmarks:

random test without meaning v2 (version: 0)

Comparing performance of: forEach vs filter

Created: 4 years ago by: Guest

Jump to the latest result

forEach

filter

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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