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test DomParser
(version: 0)
Comparing performance of:
Dom Parser vs Regex
Created:
7 years ago
by:
Guest
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Tests:
Dom Parser
const html = "<html><body><div>test</div></body></html>" const parser = new DOMParser(); const virtualDom = parser.parseFromString(html, 'text/html'); const body = virtualDom.querySelector('body');
Regex
const html = "<html><body><div>test</div></body></html>" const pattern = /<body[^>]*>((.|[\n\r])*)<\/body>/im; const matches = pattern.exec(html); const body = matches[1]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Dom Parser
Regex
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
10 months ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36
Browser/OS:
Chrome 137 on Linux
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Test name
Executions per second
Dom Parser
68387.8 Ops/sec
Regex
4639896.5 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of MeasureThat.net and explore what's being tested in these JavaScript microbenchmarks. **Benchmark Context** MeasureThat.net allows users to create and run JavaScript microbenchmarks, comparing different approaches to solve a specific problem. In this case, we have two benchmark definitions that test two distinct methods: parsing an HTML string using the `DOMParser` API and using regular expressions (Regex). **Test Cases** There are two individual test cases: 1. **Dom Parser**: This test uses the `DOMParser` API to parse an HTML string and extract the `<body>` element. 2. **Regex**: This test uses a Regex pattern to search for the `<body>` element in the same HTML string. **Options Compared** We're comparing two approaches: * **Dom Parser**: Using the `DOMParser` API to parse the HTML string and extract the `<body>` element. * **Regex**: Using regular expressions (Regex) to search for the `<body>` element in the HTML string. **Pros and Cons of Each Approach** **Dom Parser** Pros: * More straightforward and efficient for parsing complex HTML structures * Less prone to errors due to its built-in DOM manipulation capabilities Cons: * Can be slower due to the overhead of creating a new DOM document * May not work well with malformed or invalid HTML input **Regex** Pros: * Faster execution time, as it doesn't require parsing an entire DOM tree * More flexible for searching patterns in text data Cons: * Can be brittle and error-prone, especially when dealing with complex or edge-case patterns * May not work correctly with malformed or invalid HTML input **Library and Purpose** In the Dom Parser test case, we're using the `DOMParser` API, which is a built-in JavaScript library. Its purpose is to parse an HTML string and create a new DOM document from it. **Special JS Feature/Syntax** There are no special JS features or syntax mentioned in these benchmark definitions. The tests focus solely on comparing two approaches for parsing HTML strings using different methods. **Other Alternatives** If you wanted to test alternative methods, some possibilities could include: * Using the ` cheerio` library, which is a popular JavaScript library for parsing and manipulating HTML documents * Employing a more advanced regex pattern or technique, such as capturing groups or lazy matching * Exploring other parsing libraries like `jsdom` or `htmlparser` * Implementing a custom parser using a different algorithm or data structure Keep in mind that each alternative approach would require significant changes to the benchmark definition and test code.
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