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computedStyleMap vs getComputedStyle
(version: 0)
Comparing performance of:
getComputedStyle vs computedStyleMap
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<div class="foo"></div>
Tests:
getComputedStyle
var i = 15000; var el = document.querySelector(".foo"); while (i--) { window.getComputedStyle(el).getPropertyValue('color') }
computedStyleMap
var i = 15000; var el = document.querySelector(".foo"); while (i--) { el.computedStyleMap().get('color') }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
getComputedStyle
computedStyleMap
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36
Browser/OS:
Chrome 145 on Mac OS X 10.15.7
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Test name
Executions per second
getComputedStyle
173.2 Ops/sec
computedStyleMap
191.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases to understand what's being tested. **Benchmark Definition** The website provides a JSON object representing the benchmark, which includes: * `Name`: The name of the benchmark, "computedStyleMap vs getComputedStyle". * `Description`: A brief description of the benchmark, but it's empty in this case. * `Script Preparation Code` and `Html Preparation Code`: These are empty, suggesting that the benchmark doesn't require any specific script or HTML setup. **Test Cases** The benchmark has two individual test cases: 1. **getComputedStyle** * The benchmark definition is a JavaScript code snippet that: + Selects an HTML element (`<div class="foo">`) using `document.querySelector`. + Enters a loop with 15,000 iterations (using `var i = 15000;`). + Inside the loop, it uses `window.getComputedStyle(el)` to get the computed style of the selected element and retrieves the value of the 'color' property. 2. **computedStyleMap** * The benchmark definition is a JavaScript code snippet that: + Selects an HTML element (`<div class="foo">`) using `document.querySelector`. + Enters a loop with 15,000 iterations (using `var i = 15000;`). + Inside the loop, it uses `el.computedStyleMap().get('color')` to retrieve the value of the 'color' property from the computed style map. **What's being tested** The benchmark is testing two approaches: 1. **getComputedStyle**: This approach uses the built-in `window.getComputedStyle()` function to get the computed style of an element. 2. **computedStyleMap**: This approach uses the `el.computedStyleMap()` method, which is not a standard property of HTML elements. The implementation of this method is specific to each browser. **Pros and Cons** 1. **getComputedStyle** * Pros: + Widely supported by most browsers. + Efficient, as it only retrieves the relevant style properties. * Cons: + May incur additional overhead due to the function call. 2. **computedStyleMap** * Pros: + May be faster than `getComputedStyle` due to reduced overhead. * Cons: + Limited browser support (specific implementation may vary). + May not work in older browsers. **Library/Implementation** The `el.computedStyleMap()` method is likely an implementation-specific feature, possibly part of the Web API or a custom library. The specific library or implementation used by the benchmark is not specified in the provided information. **Special JS feature/Syntax** There is no mention of any special JavaScript features or syntax in the benchmark definition. **Alternatives** Other alternatives to compare include: * **CSSOM**: This approach uses the `CSSOM` (Cascading Style Sheets Object Model) API, which provides a more efficient way to manipulate styles. * **CSS-OM**: This is a similar alternative, using the CSS Object Model. * **DOM manipulation**: This approach would involve manually updating the element's style properties, which may be slower and less efficient than using `getComputedStyle` or `computedStyleMap`. Keep in mind that this analysis assumes that the provided benchmark definition and test cases are accurate representations of the actual code being tested.
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