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push vs length as filter
(version: 0)
Comparing performance of:
push vs length
Created:
2 years ago
by:
Registered User
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Script Preparation code:
var length = 2000
Tests:
push
var a = []; for (let i = 0; i < length; i += 1) { if (i % 2) { a.push(i); } }
length
var a = Array(length); var offset = 0; for (let i = 0; i < length; i += 1) { if (i % 2) { a[offset++] = i; } } a.length = offset;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
push
length
Fastest:
N/A
Slowest:
N/A
Latest run results:
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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. **Benchmark Definition** The provided JSON defines two benchmark tests: `push` and `length`. These tests measure the performance of two different approaches for filtering elements in an array. **Options Compared** There are two options being compared: 1. **Using `Array.prototype.push()`**: This approach involves iterating over a range of numbers, pushing them onto the end of an empty array using `Array.prototype.push()`, and then accessing the resulting length of the array to determine how many elements were pushed. 2. **Using indexing (`offset`) to access elements directly**: Instead of using `push()`, this approach uses an `offset` variable to keep track of the current position in the array, pushing numbers onto the array at that offset. **Pros and Cons** ### Using `Array.prototype.push()`: Pros: * Easier to implement and understand for developers who are familiar with JavaScript arrays. * Can be a good choice when the performance difference is not critical. Cons: * Pushing elements onto the end of an array can lead to slow performance due to the overhead of resizing the internal buffer (called the "heap"). * Accessing the length property after pushing can add additional overhead. ### Using indexing (`offset`) to access elements directly: Pros: * Can avoid some of the overhead associated with `push()` by accessing elements directly. * May provide better cache locality, which can lead to improved performance. Cons: * Requires manual management of an `offset` variable, which can be error-prone and harder to understand for developers who are not familiar with it. * If the `offset` is incorrect or out of bounds, it can lead to crashes or unexpected behavior. **Library and Special Features** There are no libraries mentioned in the provided benchmark definition. However, if a library were used, some possible candidates could be: * Lodash's `chunk()` function, which can create an array of elements with a specified length. * Ramda's `filter()` function, which can filter elements from an array. **Special JavaScript Features or Syntax** There are no special JavaScript features or syntax mentioned in the provided benchmark definition. However, if a test case used some special feature, it could be related to: * Array.prototype methods (e.g., `forEach()`, `map()`, `filter()`). * Generators or iterators. * ES6+ features like `for...of` loops or async/await. **Other Alternatives** If you wanted to test alternative approaches for filtering elements in an array, some possible options could be: * Using `slice()` to create a new array with the filtered elements. * Using a custom implementation of `filter()` using recursion or iteration. * Using a third-party library like Underscore.js or Ramda. Keep in mind that these alternatives may have different trade-offs and performance characteristics compared to the original benchmark tests.
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