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Test Array filter speed
(version: 0)
Comparing performance of:
Splice vs Concat
Created:
3 years ago
by:
Guest
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Tests:
Splice
const testArray = Array(1e5).fill(true) const newTestArray = testArray.splice(0, 8e4);
Concat
const testArray = Array(1e5).fill(true) const newTestArray = testArray.splice(0, 8e4).filter(e=>e);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Splice
Concat
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the benchmark and explain what's being tested, compared options, pros and cons, library usage, special JS features, and other considerations. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents two individual test cases: 1. `Test Array filter speed` (with splicing) 2. `Test Array filter speed` (with concatenation) These tests aim to measure the performance difference between using `splice()` and `concat()` when filtering a large array of true values. **Options Compared** The two options being compared are: * **Splice**: Removes elements from an array by their position. * **Concat**: Concatenates arrays using the spread operator (`...`). **Pros and Cons** 1. **Splice** * Pros: + Efficient for removing a portion of an array, as it only needs to shift elements after the removal point. + Can be faster for large arrays due to its mutable nature. * Cons: + Can be slower for small arrays due to overhead from modifying the original array. 2. **Concat** * Pros: + Suitable for small arrays, as it creates a new array and doesn't modify the original. + Faster for small arrays due to reduced overhead. * Cons: + Inefficient for large arrays, as it creates multiple intermediate arrays. **Library Usage** None of the provided test cases use any external libraries. However, if you were to add a library, `splice()` is typically implemented using a combination of bitwise operations and array indexing, while `concat()` might use an algorithm that involves creating new arrays or shifting elements. **Special JS Features** The tests don't use any special JavaScript features other than the `const` keyword for declaring variables. However, if you were to modify the tests, you could introduce features like: * Generators: Using a generator function to create large arrays * Iterables: Using an iterable object, like a Map or Set, as the source array * Arrow functions: Using arrow functions for concise code **Other Considerations** When running these benchmarks, consider the following factors that might affect results: * **Array size**: Larger arrays will likely favor `splice()` due to its mutable nature. * **Array contents**: If the array contains duplicate values or objects with complex properties, this might impact performance differences between `splice()` and `concat()`. * **Browser performance**: Different browsers may optimize their implementations of `splice()` and `concat()` differently. **Alternatives** If you're looking for alternative approaches to benchmarking JavaScript performance: 1. **V8 Profiler**: A built-in profiling tool in Chrome that allows you to analyze JavaScript execution time. 2. **Benchmark.js**: An open-source library specifically designed for creating and running microbenchmarks. 3. **jsperf**: A simple, old-school benchmarking tool that uses a similar approach to MeasureThat.net. Remember to always consider the specific requirements of your use case when choosing a benchmarking approach or library.
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