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regecx
(version: 0)
Comparing performance of:
url vs long
Created:
4 years ago
by:
Guest
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Script Preparation code:
var REGEX_URL="(?:[^a-z])";
Tests:
url
"http://www.google.com?q=Georgi+Facello".match(REGEX_URL)
long
"zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm".match(REGEX_URL)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
url
long
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain the benchmark being tested on MeasureThat.net. The benchmark being tested is a JavaScript microbenchmark that measures the performance of regular expression matching in two different scenarios: `url` and `long`. **Script Preparation Code** The script preparation code provided is `var REGEX_URL = "(?:[^a-z])";`. This line defines a regular expression pattern using the non-capturing group syntax (`(?:`) and a negated character class (`[^a-z]`). The `(?:)` syntax allows us to define a pattern without creating a capture group, which can improve performance. The `[^a-z]` character class matches any character that is not a lowercase letter. **Html Preparation Code** The html preparation code is empty in this case. **Benchmark Definition** The benchmark definition provides two test cases: 1. **url**: This test case measures the execution time of the expression `"http://www.google.com?q=Georgi+Facello".match(REGEX_URL)`. The pattern `REGEX_URL` matches any character that is not a lowercase letter, so this test case checks how fast the JavaScript engine can execute a simple regular expression match. 2. **long**: This test case measures the execution time of the expression `"zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm".match(REGEX_URL)`. This test case checks how fast the JavaScript engine can execute a longer regular expression match. **Library** There is no explicit library mentioned in this benchmark. The regular expression pattern is defined directly in the script preparation code. **Special JS feature or syntax** The non-capturing group syntax `(?:)` and the negated character class `[^a-z]` are standard JavaScript features that allow us to define complex regular expressions efficiently. **Pros and Cons of different approaches** * Using a non-capturing group (`(?:`) can improve performance by avoiding unnecessary capture groups. * Negating a character class (`[^a-z]`) is often faster than using the `^` character to negate an entire character class. * Using simple regular expression patterns (like in the `url` test case) tends to be faster than using more complex patterns. However, these optimizations may not always result in significant performance gains, and the impact of each optimization technique can vary depending on the specific use case and implementation details. **Other alternatives** Some alternative approaches to benchmarking regular expression performance include: * Using a different pattern or combination of patterns * Measuring the execution time of other regex-related functions (e.g., `RegExp.test()`, `RegExp.exec()`) * Using a different JavaScript engine or implementation (if possible) * Adding more test cases to cover different scenarios and edge cases In this case, MeasureThat.net's approach seems suitable for testing regular expression matching performance in simple scenarios like these.
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