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regex 0001 + 1
(version: 0)
Comparing performance of:
REGEX_1 vs REGEX_2
Created:
4 years ago
by:
Guest
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Script Preparation code:
var REGEX_1 = /"{0,1}cpf"{0,1}[:=]"{0,1}([\w\s]{1,})/; var REGEX_2 = /"{0,1}cpf"{0,1}[:=]\"{0,1}([\w\s]+)/;
Tests:
REGEX_1
REGEX_1.test("cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12")
REGEX_2
REGEX_2.test("cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12,cpf=12")
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
REGEX_1
REGEX_2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
gemma2:9b
, generated one year ago):
This benchmark tests the performance of two regular expressions (`REGEX_1` and `REGEX_2`) when used with the `.test()` method to find a specific pattern in a string. **Options Compared:** * **REGEX_1:** `/\"{0,1}cpf\"{0,1}[:=]\"{0,1}([\\w\\s]{1,})/` * **REGEX_2:** `/\"{0,1}cpf\"{0,1}[:=]\\\"{0,1}([\\w\\s]+)/` Both regular expressions aim to find the text "cpf" followed by an equal sign or a colon and then one or more word characters or spaces. They essentially look for the pattern "cpf=[...]" or "cpf:[...]". **Pros/Cons:** * **REGEX_1:** Slightly simpler syntax but potentially less efficient due to the nested character classes within the regex. * **REGEX_2:** Slightly more verbose syntax but might be more efficient depending on how the JavaScript engine parses and interprets it. **Key Considerations:** * **Character Escaping:** The use of `\`, backslash, is crucial for escaping special characters in regular expressions. Without proper escaping, these characters would have their literal meaning interpreted instead of their intended regex functionality (e.g., `\` matches a backslash character literally). * **Performance:** Minor differences in syntax can sometimes lead to noticeable performance variations depending on the JavaScript engine and how it optimizes regex matching. **Other Alternatives:** While regular expressions are powerful, there might be alternative approaches for this specific task depending on the context: * **String Manipulation:** You could use string methods like `indexOf()` or `substring()` to extract the desired information if the pattern is relatively simple. * **Libraries:** For more complex pattern matching or text processing tasks, consider using specialized JavaScript libraries like Lodash or a dedicated regex library that might offer optimized implementations. **Important Note:** The provided benchmark results only show the performance on a specific machine and browser configuration. Actual performance can vary significantly depending on the system hardware, software environment, and other factors.
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