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immutable perf
(version: 4)
immutable perf
Comparing performance of:
native vs immutable array push
Created:
8 years ago
by:
Registered User
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/immutable.js/4.0.0-rc.2/immutable.min.js"></script>
Script Preparation code:
var a = new Array(1000); a.fill([1,2,3,4]); var ia = Immutable.List(a);
Tests:
native
a.shift(); a.push([1,2,3,4]);
immutable array push
ia = ia.push([1,2,3,4]); /*var pia = ia.withMutations(function(mat){ mat.shift(); mat.push([1,2,3,4]); }); var nia = pia.toArray(); */
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
native
immutable array push
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 break down what's being tested in the provided JSON benchmark. **Benchmark Definition** The benchmark measures the performance of two approaches: 1. **Native JavaScript**: This approach tests how fast JavaScript can execute the `a.shift()` and `a.push([1,2,3,4])` statements directly on an array `a`. 2. **Immutable Array Push**: This approach tests how fast a modified version of Immutable.js (specifically, `ia = ia.push([1,2,3,4]);`) can execute the same two statements. **Options Compared** The benchmark compares the performance of these two approaches: * Native JavaScript: Executes `a.shift()` and `a.push([1,2,3,4])` directly on an array. * Immutable Array Push: Uses a modified version of Immutable.js to create an immutable list, push a new element onto it, and then convert it back to an array. **Pros and Cons** **Native JavaScript:** Pros: * Fast execution speed (the benchmark shows a high number of executions per second). Cons: * May be less reliable or maintainable due to its direct manipulation of the array. * Can lead to unexpected side effects if not handled carefully. **Immutable Array Push:** Pros: * Provides a clear, predictable behavior and avoids mutable state issues. Cons: * Requires additional overhead from Immutable.js, which may slow down execution. * May be less suitable for very large datasets due to memory consumption. **Library: Immutable.js** Immutable.js is a library that provides immutable data structures, allowing developers to create code that's easier to reason about and debug. In this benchmark, Immutable.js is used to create an immutable list `ia` from the original array `a`, push a new element onto it, and then convert it back to an array. **Special JS Feature/Syntax** In this benchmark, the following JavaScript features are not explicitly mentioned: * ES6 classes (not required for this simple benchmark) * Modern syntax for arrow functions or destructuring (not used in this code snippet) However, if we were to analyze the script preparation code and individual test cases more closely, we might notice other subtle details like: * The use of `var` keywords, which are function-scoped variables. * The absence of any explicit error handling mechanisms. **Other Alternatives** For measuring JavaScript performance, there are several alternatives to MeasureThat.net, including: 1. **Google's V8 Benchmark Suite**: Provides a comprehensive set of benchmarks for JavaScript engines. 2. **Benchmark.js**: A lightweight benchmarking library for Node.js and browser environments. 3. **BenchmarkLib**: Another popular benchmarking library for JavaScript. Each of these alternatives has its own strengths and weaknesses, but MeasureThat.net provides an easy-to-use interface for creating simple benchmarks like this one.
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