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arr slice vs spread operator
(version: 0)
Comparing performance of:
spread vs slice
Created:
3 years ago
by:
Guest
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Tests:
spread
const arr = ["foo", "bar", "baz"] const spread = [...arr]
slice
const arr = ["foo", "bar", "baz"] const slice = arr.slice()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
spread
slice
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the benchmark and explain what's being tested. **Benchmark Overview** The benchmark, titled "arr slice vs spread operator," compares the performance of two approaches to create a new array from an existing one: 1. `slice()`: A method that returns a shallow copy of a portion of an array. 2. The spread operator (`...`): An operator used to expand an iterable into individual elements. **Options Compared** The benchmark tests the performance of these two options on a specific use case: creating a new array from an existing array `arr` containing three strings. The test is designed to measure which approach is faster in terms of execution speed. **Pros and Cons** * **Slice()**: + Pros: Generally considered more efficient, especially for larger arrays, since it avoids creating a new array altogether. + Cons: Returns a shallow copy, which can lead to unexpected behavior if the original array contains mutable elements (e.g., objects). * **Spread Operator (`...`)**: + Pros: Creates a new array without modifying the original one, making it safer for use with mutable elements. + Cons: Can be slower than `slice()` for large arrays due to the overhead of creating a new array. **Library and Special JS Features** None mentioned in this benchmark. However, if you were to write similar benchmarks for other libraries or features, some examples include: * Using `Array.prototype.map()`, which can also create a new array from an existing one. * Utilizing `Object.assign()` or the spread operator with objects instead of arrays. **Benchmark Preparation Code** The provided JSON doesn't contain any script preparation code. It's likely that the benchmark is designed to be run directly on MeasureThat.net without requiring additional setup. **Other Alternatives** If you're interested in exploring other performance benchmarks, here are a few examples: * Measuring the performance of different JavaScript engines (e.g., V8 vs SpiderMonkey). * Comparing the performance of various data structures, such as arrays versus linked lists. * Benchmarking the execution speed of specific algorithms or functions. Keep in mind that the choice of benchmark depends on your specific interests and goals. If you're interested in exploring more benchmarks like this one, I'd be happy to help!
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