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For vs While and Shift vs Array.slice
(version: 1)
Comparing performance of:
Slice vs For vs While
Created:
4 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
var array = ["Rome", "Milan", "Barcelona", "Madrid", "Paris", "Nice", "London", "Manchester"]; var clone = [];
Tests:
Slice
clone = Array.prototype.slice.call(array, 0);
For
for(var i = 0; i < array.length; i++) { clone.push(array[i]); }
While
clone = Array.prototype.slice.call(array, 0); var clone2 = []; while(clone.length > 0) { clone2.push(clone.shift()); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Slice
For
While
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 Overview** The provided benchmark compares three approaches to create a copy of an array: `Array.prototype.slice.call()`, `for` loop, and `while` loop with `shift()` method. The goal is to determine which approach is the fastest. **Options Compared** 1. **`Array.prototype.slice.call()`**: This method creates a new array by calling the `slice()` method on the original array and passing `0` as the start index. 2. **`for` loop**: This loop iterates over the elements of the original array using an indexer (`i`) and pushes each element to a new array (`clone`). 3. **`while` loop with `shift()` method**: This loop uses a while loop to iterate over the elements of the original array, pushing each element to a new array (`clone2`) using the `shift()` method. **Pros and Cons** 1. **`Array.prototype.slice.call()`**: * Pros: Creates a shallow copy of the array, easy to read and write. * Cons: Can be slower than other approaches for large arrays due to the overhead of creating an array object. 2. **`for` loop**: * Pros: Can be more efficient for large arrays since it avoids the overhead of creating an array object. * Cons: Requires manual indexing, which can lead to errors if not implemented correctly. 3. **`while` loop with `shift()` method**: * Pros: More memory-efficient than other approaches since it uses a single array and doesn't create a new object. * Cons: Can be slower due to the overhead of iterating over the elements using `shift()`, which returns the first element. **Library** None, this benchmark only uses built-in JavaScript features. **Special JS Feature/Syntax** The `shift()` method is used in the `while` loop approach. The `shift()` method returns the first element of an array and removes it from the array. This approach relies on this method to iterate over the elements. **Benchmark Preparation Code** The provided code initializes two arrays: `array` containing city names, and `clone`/`clone2` which will hold the copied values. **Individual Test Cases** Each test case measures the execution time of a specific approach: 1. **Slice**: Creates a copy using `Array.prototype.slice.call()`. 2. **For**: Uses a `for` loop to create a copy. 3. **While**: Uses a `while` loop with `shift()` method to create a copy. **Benchmark Result** The latest benchmark result shows the execution time per second for each test case on a Chrome 95 browser on a Mac OS X 10.15.7 desktop platform: 1. **Slice**: 3,326,201 executions/second 2. **While**: 6,681,716 executions/second 3. **For**: 6,107,630 executions/second Based on the benchmark results, the `while` loop approach appears to be the fastest. **Other Alternatives** If you're interested in exploring alternative approaches, here are a few options: 1. **Using `Array.prototype.map()`**: This method creates a new array by calling the `map()` method on the original array. 2. **Using `Object.assign()`**: This method creates a new object by copying the properties of the original object. 3. **Using `Array.from()`**: This method creates a new array from an iterable object. Keep in mind that each approach has its pros and cons, and the best choice depends on your specific use case and performance requirements.
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