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Test arrayLike transformation
(version: 0)
Comparing performance of:
Native arrayLike transformation vs Lodash toArray
Created:
one year ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.21/lodash.min.js'></script>
Script Preparation code:
const characters = 'AaBbCcDdEeFfGgHhIiJjKkLlMmNnOoPpQqRrSsTtUuVvWwXxYyZz1234567890'; var randomMap = new Map(); for (let l = 0; l < 1000; l++) { randomMap.set(l, characters[Math.floor(Math.random() * characters.length)]); }
Tests:
Native arrayLike transformation
Array.from(randomMap.keys())
Lodash toArray
_.toArray(randomMap.keys())
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native arrayLike transformation
Lodash toArray
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36
Browser/OS:
Chrome 124 on Windows
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Test name
Executions per second
Native arrayLike transformation
365576.5 Ops/sec
Lodash toArray
213793.3 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and explain what's being tested, compared, and considered. **Benchmark Purpose:** The purpose of this benchmark is to compare the performance of two approaches for transforming an array-like object into a native JavaScript array. The array-like object in question is created from a random map with 1000 key-value pairs, where each value is a character string chosen randomly from a large set. **Options being Compared:** There are two options being compared: 1. **Native ArrayLike Transformation:** This involves using the `Array.from()` method to create a native JavaScript array from the keys of the random map. 2. **Lodash `toArray` Method:** This involves using the `lodash` library's `toArray` function to convert the keys of the random map into an array. **Pros and Cons:** * **Native ArrayLike Transformation:** + Pros: - No external dependencies (e.g., no extra library load). - Native JavaScript implementation, which is typically faster. + Cons: - May require more manual effort to set up and manage the array-like object. - Performance may vary depending on browser support for `Array.from()`. * **Lodash `toArray` Method:** + Pros: - Easy to use and set up, with minimal code changes required. - Lodash provides a well-tested and widely adopted implementation. + Cons: - Requires loading an additional library (lodash), which may introduce overhead. - May not be as efficient as native implementation. **Library:** The `lodash` library is used in the benchmark for its `toArray` function, which converts an array-like object into a regular JavaScript array. Lodash is a popular utility library that provides many useful functions for data manipulation and transformation. **Special JS Feature or Syntax:** There are no special JavaScript features or syntaxes being tested in this benchmark. The code uses standard JavaScript syntax and does not rely on any advanced or experimental features. **Other Considerations:** * **Browser Support:** Both approaches should work across most modern browsers, but `Array.from()` may have varying degrees of support depending on the browser version. * **Performance Variability:** As with any benchmark, performance results may vary between different systems and environments. The benchmark is designed to measure relative performance differences between the two options. **Alternative Approaches:** Other approaches for transforming an array-like object into a native JavaScript array might include: 1. Using `Array.prototype.slice()` or `Array.prototype.concat()` in combination with other methods. 2. Utilizing modern JavaScript features like `Symbol.iterator` and iterable objects. 3. Implementing a custom transformation function using Array methods. Keep in mind that these alternatives may introduce additional complexity, dependencies, or performance overhead compared to the native implementation or Lodash's `toArray` method.
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