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.slice() with .push() VS .slice() with .splice()
(version: 3)
Comparing performance of:
slice push vs slice splice
Created:
3 years ago
by:
Registered User
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Tests:
slice push
const input = [15,3,8,6,2,0,6,3,7,5,2,8,0,5,8,6,2,986,8,0,3,4,5,7,89,089,345,7,74,579,56,896,3456,14,3455,234,532234,56,435,6,3456,65,36,6,6543,45,3,6,6,6,634,34,56,54,34,6,3456,345,634,5634,56,46,6,53,456,54,4634,5,15,3,8,6,2,0,6,3,7,5,2,8,0,5,8,6,2,986,8,0,3,4,5,7,89,089,345,7,74,579,56,896,3456,14,3455,234,532234,56,435,6,3456,65,36,6,6543,45,3,6,6,6,634,34,56,54,34,6,3456,345,634,5634,56,46,6,53,456,54,4634,5] const merged = input.slice().push(42)
slice splice
const input = [15,3,8,6,2,0,6,3,7,5,2,8,0,5,8,6,2,986,8,0,3,4,5,7,89,089,345,7,74,579,56,896,3456,14,3455,234,532234,56,435,6,3456,65,36,6,6543,45,3,6,6,6,634,34,56,54,34,6,3456,345,634,5634,56,46,6,53,456,54,4634,5,15,3,8,6,2,0,6,3,7,5,2,8,0,5,8,6,2,986,8,0,3,4,5,7,89,089,345,7,74,579,56,896,3456,14,3455,234,532234,56,435,6,3456,65,36,6,6543,45,3,6,6,6,634,34,56,54,34,6,3456,345,634,5634,56,46,6,53,456,54,4634,5] const temp = input.slice() const merged = temp.splice(Infinity,0,42)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
slice push
slice splice
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/128.0.0.0 Safari/537.36
Browser/OS:
Chrome 128 on Windows
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Test name
Executions per second
slice push
6719282.0 Ops/sec
slice splice
2004055.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and explain what's being tested. **Benchmark Definition** The benchmark definition is comparing two approaches to merge an array in JavaScript: 1. `slice().push(42)`: This approach creates a copy of the original array using `slice()`, and then uses the `push()` method to add a new element to the copied array. 2. `slice().splice(Infinity, 0, 42)`: This approach also creates a copy of the original array using `slice()`, but then uses the `splice()` method to insert a new element at the beginning of the copied array. **Options Compared** The two approaches being compared are: * **Array creation**: Both approaches create a copy of the original array using `slice()`. * **Element insertion**: The approaches differ in how they insert the new element into the copied array: + `push()` inserts the element at the end of the array. + `splice()` inserts the element at the beginning of the array. **Pros and Cons** Here are some pros and cons of each approach: * `slice().push(42)`: + Pros: Simple, efficient, and widely supported. + Cons: Creates a new array object, which can lead to increased memory usage for large arrays. * `slice().splice(Infinity, 0, 42)`: + Pros: Inserts the element at the beginning of the array, which might be desirable in some cases. + Cons: Less efficient than `push()` because it involves searching and modifying the array. **Library Usage** There is no explicit library usage mentioned in the benchmark definition. However, `slice()` and `splice()` are built-in JavaScript methods that operate on arrays. **Special JS Features or Syntax** The benchmark uses the `Infinity` constant to specify the index at which to insert the new element. This constant is a valid value for the `splice()` method, but it's not a commonly used syntax in everyday JavaScript coding. The use of `Infinity` might be intended to simulate an edge case where the array needs to be extended. **Other Alternatives** If you're interested in exploring alternative approaches, here are some options: * Using `concat()` instead of `slice()`: This approach would concatenate a new array with the original array using `concat()`, rather than creating a copy. * Using `array.prototype.push.apply()` or `Array.prototype.splice.apply()`: These methods apply the push() or splice() method to the entire array at once, which might be more efficient for large arrays. Keep in mind that these alternatives might have different performance characteristics and may not be suitable for all use cases.
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