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.at vs bracket notation
(version: 0)
.at vs bracket notation
Comparing performance of:
.at vs bracket
Created:
one year ago
by:
Guest
Jump to the latest result
Script Preparation code:
let f;
Tests:
.at
for (let i = 30000; --i;) f=[1,2,3].at(3)
bracket
for (let i = 30000; --i;) f=[1,2,3][2]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
.at
bracket
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
4 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:144.0) Gecko/20100101 Firefox/144.0
Browser/OS:
Firefox 144 on Windows
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Embed Benchmark Result
Test name
Executions per second
.at
20598.3 Ops/sec
bracket
19092.1 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated one year ago):
### Benchmark Overview This benchmark compares two different methods of accessing array elements in JavaScript: the `.at()` method and the traditional bracket notation (`[]`). It serves to evaluate the performance differences between these two approaches within an array containing numeric values. ### Options Compared 1. **.at() Method** - **Syntax:** `array.at(index)` - **Purpose:** The `.at()` method allows you to access elements at a specified index in an array while supporting negative integers, which count back from the last item in the array. For example, `array.at(-1)` gives you the last element. 2. **Bracket Notation** - **Syntax:** `array[index]` - **Purpose:** This is the traditional way of accessing elements in an array by specifying their index. It does not support negative indices, meaning you must specify a valid positive index concerning the array's length. ### Performance Analysis The benchmark results show the number of executions per second for both methods when used in a loop: - **Bracket Notation:** - **Executions Per Second:** 477.29 - **Test Name:** "bracket" - **.at() Method:** - **Executions Per Second:** 468.77 - **Test Name:** ".at" #### Pros and Cons **.at() Method:** - **Pros:** - Supports negative indexing, making it more convenient for certain use cases, such as accessing elements from the end of the array. - Provides clearer intent when reading the code, as it highlights that the method is specifically for indexing. - **Cons:** - Slightly slower in this benchmark, which could indicate a performance overhead due to the method call. - May not be supported in older environments or versions of JavaScript that do not support ES2022, limiting compatibility. **Bracket Notation:** - **Pros:** - More universally recognized and widely used, so many developers may be more comfortable with it. - Often faster in terms of pure performance due to the direct access without function overhead. - Fully supported in all versions of JavaScript. - **Cons:** - Lacks the convenience of negative indices. - Less immediately clear in terms of design since bracket notation does not indicate that it’s accessing an element (though this is often understood). ### Other Considerations - **Readability and Maintainability:** When choosing between the two, consider the readability of the code. If you're working extensively with negative indices, `.at()` may be a more descriptive choice. - **Compatibility:** Consider the environments where your code will run. If you're writing code meant to be used in various contexts or older browsers, bracket notation will likely be the safer choice. ### Alternatives Besides `.at()` and bracket notation, other alternatives for array access include: - **Array Destructuring:** This ES6 feature allows for a concise way to assign values from arrays to variables. However, it's not direct indexing. ```javascript const [first, second] = [1, 2, 3]; // Accessing first and second elements ``` - **Using Higher-Order Functions:** Functions like `.map()`, `.filter()`, and `.reduce()` allow you to work with arrays in a more functional way but do not offer direct element access. In conclusion, while performance is a crucial factor, choosing between `.at()` and bracket notation should also consider readability, maintainability, and environment requirements.
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