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modify style order test
(version: 3)
Comparing performance of:
order 1 vs order 2
Created:
7 years ago
by:
Registered User
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HTML Preparation code:
<div id="container">test</div>
Script Preparation code:
var container = document.getElementById('container');
Tests:
order 1
container.style.color = 'red'; var w = container.offsetWidth; container.style.width = w + 20 + 'px'; var h = container.offsetHeight; container.style.height = h + 20 + 'px';
order 2
var w = container.offsetWidth; var h = container.offsetHeight; container.style.color = 'red'; container.style.width = w + 20 + 'px'; container.style.height = h + 20 + 'px';
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
order 1
order 2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and its test cases. **Benchmark Definition** The benchmark definition is a JSON object that describes the test scenario. In this case, it has four properties: * `Name`: The name of the benchmark, which is "modify style order test". * `Description`: An empty string, indicating that there is no detailed description of the benchmark. * `Script Preparation Code`: A JavaScript code snippet that prepares the test environment. In this case, it gets a reference to an HTML element with the id "container" and assigns it to a variable named `container`. * `Html Preparation Code`: An HTML code snippet that sets up the test HTML. In this case, it creates a simple div element with the id "container" and contains the text "test". **Individual Test Cases** The benchmark has two individual test cases: 1. **Test Case 1: "order 1"** This test case executes the following JavaScript code: ```javascript container.style.color = 'red'; var w = container.offsetWidth; container.style.width = w + 20 + 'px'; var h = container.offsetHeight; container.style.height = h + 20 + 'px'; ``` The order of operations in this test case is: 1. Set the color of the `container` element to red. 2. Get the width and height of the `container` element using the `offsetWidth` and `offsetHeight` properties, respectively. 3. Set the width and height of the `container` element using the calculated values. **Test Case 2: "order 2"** This test case executes the following JavaScript code: ```javascript var w = container.offsetWidth; var h = container.offsetHeight; container.style.color = 'red'; container.style.width = w + 20 + 'px'; container.style.height = h + 20 + 'px'; ``` The order of operations in this test case is: 1. Get the width and height of the `container` element using the `offsetWidth` and `offsetHeight` properties, respectively. 2. Set the color of the `container` element to red. 3. Set the width and height of the `container` element using the calculated values. **Comparison** The two test cases differ only in the order of operations. Test Case 1 sets the color first and then updates the width and height, while Test Case 2 does it in the reverse order. This difference is likely intended to test the performance implications of ordering these operations. **Pros and Cons** This approach has some pros and cons: Pros: * Simple and easy to understand. * Tests a specific scenario with minimal variables. Cons: * May not accurately represent real-world scenarios where multiple operations are performed concurrently. * May introduce unnecessary variability in the benchmark results. **Library and Special JS Features** There is no explicitly mentioned library or special JavaScript feature being used in this benchmark. However, it's worth noting that the use of `offsetWidth` and `offsetHeight` properties suggests that the test is running on a web browser, which may have some specific optimizations or limitations related to these properties. **Alternatives** Other alternatives for measuring performance in JavaScript benchmarks could include: * Using a more advanced benchmarking framework like Benchmark.js or JSPerf. * Adding additional test cases with different ordering of operations. * Using a more robust way to measure performance, such as using Web worker threads or running the benchmark on multiple CPU cores. In general, the choice of benchmarking approach depends on the specific goals and requirements of the project.
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