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copy speed
(version: 0)
Comparing performance of:
slice vs switch
Created:
9 years ago
by:
Guest
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Script Preparation code:
var proto_slice = Array.prototype.slice; var a = [1,2,3,4,5];
Tests:
slice
Array.prototype.slice.call(a)
switch
switch (a.length) { case 0: return []; case 1: return [a[0]]; case 2: return [a[0], a[1]]; case 3: return [a[0], a[1], a[2]]; case 4: return [a[0], a[1], a[2], a[3]]; case 5: return [a[0], a[1], a[2], a[3], a[4]]; default: return proto_slice.call(a); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
slice
switch
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared options, pros and cons of those approaches, and other considerations. **Benchmark Definition** The benchmark is defined by a JSON object with the following properties: * `Name`: The name of the benchmark, which is "copy speed". * `Description`: An empty string, indicating that no description is provided. * `Script Preparation Code`: A JavaScript code snippet that creates an array `a` containing the elements `[1, 2, 3, 4, 5]`. This code is executed before running each test case. * `Html Preparation Code`: An empty string, indicating that no HTML preparation code is required. **Individual Test Cases** There are two test cases: 1. **"slice"`** The benchmark definition is `Array.prototype.slice.call(a)`. This code calls the `slice()` method on the `Array.prototype` and passes the array `a` as an argument. The `call()` method is used to invoke the `slice()` method with the specified context. 2. **"switch"`** The benchmark definition is a custom implementation of a switch statement using a series of `case` statements: ```javascript switch (a.length) { case 0: return []; case 1: return [a[0]]; case 2: return [a[0], a[1]]; case 3: return [a[0], a[1], a[2]]; case 4: return [a[0], a[1], a[2], a[3]]; case 5: return [a[0], a[1], a[2], a[3], a[4]]; default: return Array.prototype.slice.call(a); } ``` This implementation is likely intended to test the performance of the `slice()` method compared to a custom switch statement. **Options Compared** The two test cases compare the following options: * Using the built-in `Array.prototype.slice()` method (`call()`) * Implementing a custom switch statement to create an array slice **Pros and Cons** **Using `Array.prototype.slice()`** Pros: * More concise and readable code * Less error-prone, as it follows the standard array method implementation Cons: * May have performance overhead due to method call overhead or other factors **Custom Switch Statement** Pros: * Can potentially outperform the built-in `slice()` method for certain use cases (e.g., very small arrays) * Allows for more control over the implementation Cons: * More verbose and error-prone code * May have performance overhead due to the complexity of the switch statement **Library Used** In both test cases, the `Array.prototype.slice()` method is used. The `slice()` method is a built-in JavaScript method that creates a shallow copy of an array segment. **Special JS Feature/Syntax** None mentioned in this benchmark. **Other Considerations** * **Device and Browser Variability**: The benchmark results are reported for multiple browsers, devices, and operating systems. This helps to ensure the benchmark's consistency across different environments. * **Executions Per Second**: The "ExecutionsPerSecond" metric measures the number of executions performed per second. This provides insight into the performance characteristics of each test case. * **Alternatives** Other alternatives for this benchmark could include: * Using a different array method, such as `Array.prototype.splice()` or `Array.prototype.slice()` with a custom offset and length * Comparing the performance of different array data structures, such as arrays vs. linked lists * Testing the performance of different programming paradigms, such as imperative vs. functional programming Keep in mind that these alternatives would require significant changes to the benchmark definition and implementation.
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