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asdøla skdøla sdasd
(version: 0)
Comparing performance of:
1 vs 2
Created:
6 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var a = [ 'Lorem ipsum dolor sit amet', 'Lorem ipsam dolor sit amet' ]; var reg1 = ['ipsam', 'ipsum']; var reg2 = ['ips(a|u)m'];
Tests:
1
a.forEach(e => reg1.forEach(r => console.log(e.match(r))))
2
a.forEach(e => reg2.forEach(r => console.log(e.match(r))))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
1
2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
gemma2:9b
, generated one year ago):
Let's break down this JavaScript benchmark. **What is being tested?** This benchmark measures the performance of two different ways to find matches within strings. * **Data:** It uses an array (`a`) containing two sentences: "Lorem ipsum dolor sit amet" and "Lorem ipsam dolor sit amet". * **Regular Expressions (Regex):** It has two sets of regex patterns (`reg1` and `reg2`) designed to match parts of these sentences. **Test Cases:** 1. **Test Name "1":** Uses `a.forEach(e => reg1.forEach(r => console.log(e.match(r))))`. This iterates through each sentence (`e`) in the array and then for each regex pattern (`r`) in `reg1`, it uses `.match()` to find a match within the sentence. The matching result (if any) is logged to the console. 2. **Test Name "2":** Uses `a.forEach(e => reg2.forEach(r => console.log(e.match(r))))`. This follows the same logic as Test 1, but uses a different set of regex patterns (`reg2`). **Comparison:** The benchmark aims to see if using `reg2` is faster than `reg1`. This difference likely stems from the structure and complexity of the regex patterns themselves. Simpler patterns generally execute faster. **Alternatives:** * **Using String Methods:** Instead of regex, you could use string methods like `.indexOf()` or `.substring()`. These might be less powerful for complex pattern matching but could be faster in simpler cases. * **Dedicated Parsing Libraries:** If you're dealing with structured data (like HTML or JSON), dedicated parsing libraries can often outperform regex. **Considerations:** * **Benchmark Environment:** The execution speed heavily depends on the user's hardware and browser configuration. * **Test Scope:** This benchmark focuses on a very specific task (regex matching within strings). Real-world applications might involve more complex scenarios. Let me know if you have any further questions or want to explore specific aspects in more detail!
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