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bunch of array copy v2
(version: 0)
bunch of array copy approaches
Comparing performance of:
for i of vs for i in vs for i length first vs for i length every vs while crazy vs while boring vs slice
Created:
3 years ago
by:
Guest
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Tests:
for i of
let c = 0 const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] const newArray = [] for (const i of testArray) { newArray[c++] = i }
for i in
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] const newArray = [] for (const i in testArray) { newArray[i] = testArray[i] }
for i length first
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] const length = testArray.length const newArray = [] for (let i = 0; i < length; i++) { newArray[i] = testArray[i] }
for i length every
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] const newArray = [] for (let i = 0; i < testArray.length; i++) { newArray[i] = testArray[i] }
while crazy
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] let i = testArray.length const newArray = [] while (~--i) { newArray[i] = testArray[i] }
while boring
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] let i = -1 const newArray = [] while (i++ < testArray.length) { newArray[i] = testArray[i] }
slice
const testArray = [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 0 ] const newArray = testArray.slice()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (7)
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Test case name
Result
for i of
for i in
for i length first
for i length every
while crazy
while boring
slice
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 array copying benchmarks. The provided JSON represents a benchmarking framework where users can create and run JavaScript microbenchmarks. The benchmark being tested is related to copying an array, with various approaches compared. **What are we testing?** We're testing different ways to copy an array in JavaScript. The array contains 10 elements, and the goal is to determine which approach is the fastest. **Options compared:** There are four main approaches compared: 1. **For loop with index**: Using a traditional `for` loop with an incrementing index (`c++ = i`) to iterate over the array. 2. **For loop with `in` keyword**: Using the `in` keyword to access array elements. 3. **Length-based `for` loop**: Using a `for` loop that iterates from 0 to the length of the array. 4. **Every element iteration**: Using another `for` loop that iterates over each element in the array. 5. **While loop with decrementing index**: Using a `while` loop with a decrementing index (`--i`) to iterate over the array. 6. **Array slicing**: Using the `slice()` method to create a new array. **Pros and Cons of each approach:** 1. **For loop with index**: * Pros: Simple and efficient. * Cons: Can lead to off-by-one errors if not implemented correctly. 2. **For loop with `in` keyword**: * Pros: Convenient, but may be slower due to overhead. * Cons: Can be less predictable than traditional indexing. 3. **Length-based `for` loop**: * Pros: Avoids potential off-by-one errors and is often faster. * Cons: May require more iterations. 4. **Every element iteration**: * Pros: Provides equal access to all elements, but may be slower due to unnecessary iterations. * Cons: Can lead to increased overhead. 5. **While loop with decrementing index**: * Pros: Efficient and can avoid off-by-one errors. * Cons: May require more complex indexing logic. 6. **Array slicing**: * Pros: Convenient, but may lead to unnecessary memory allocation. **Results:** The benchmark results show that the following approaches are the fastest: 1. Length-based `for` loop (`46811652` executions per second) 2. For loop with index (`40141140` executions per second) 3. While loop with decrementing index (`39310488` executions per second) Note that these results may vary depending on the specific implementation, browser, and environment. **Conclusion:** The benchmark results suggest that the length-based `for` loop is the fastest approach for copying an array in JavaScript. This method provides a good balance between efficiency and predictability. However, it's essential to consider the specific use case and potential trade-offs when choosing an approach.
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