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Regex vs Split
(version: 1)
Tests performance of Regex capture of a dot decimal point number vs string split
Comparing performance of:
Regex Match vs Split
Created:
4 years ago
by:
Registered User
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Tests:
Regex Match
'100.1234'.match(/(\d+)\.?(\d+)?/) '56900.1499999234'.match(/(\d+)\.?(\d+)?/) '9912883.4440040400400234'.match(/(\d+)\.?(\d+)?/)
Split
'100.1234'.split('.') '56900.1499999234'.split('.') '9912883.4440040400400234'.split('.')
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Suite status:
<idle, ready to run>
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Test case name
Result
Regex Match
Split
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the Benchmark Definition and test cases provided. **Benchmark Definition** The benchmark, titled "Regex vs Split", tests the performance of two different approaches to achieve the same goal: 1. **Regex**: The use of regular expressions (regex) to capture a decimal point number with optional fractional part. 2. **Split**: The use of string splitting using the dot (`.`) character as the separator. **Options Compared** The benchmark compares the performance of these two approaches on three test cases, each with a different input string: * `100.1234` * `56900.1499999234` * `9912883.4440040400400234` Each test case consists of two identical operations: executing the regex pattern and splitting the string using dot (`.`) as the separator. **Pros and Cons** **Regex Approach:** Pros: * More flexible and powerful than simple string splitting. * Can handle complex patterns, including capturing groups and escaping special characters. Cons: * Can be slower and more resource-intensive due to the complexity of regex patterns. **Split Approach:** Pros: * Generally faster and more lightweight compared to regex. * Simple and easy to understand for basic use cases. Cons: * Limited flexibility and may not handle complex input scenarios well. * May not work correctly with edge cases, such as non-ASCII characters or special characters. **Other Considerations** The benchmark does not consider other factors that might affect performance, such as: * Input string size and complexity * Presence of non-printable characters or newline symbols * Optimizations for specific use cases (e.g., handling large datasets) **Library Used (None)** There is no explicit library used in this benchmark. The regex pattern is a standard JavaScript syntax. **Special JS Feature/Syntax (None)** No special JavaScript features or syntax are used in this benchmark. **Benchmark Preparation Code** The Script Preparation Code and Html Preparation Code fields are empty, indicating that the benchmark does not require any specific setup or configuration beyond what's provided by the browser. **Alternatives** Other alternatives for string processing could include: * Using a dedicated regular expression library (e.g., regexlib) * Employing a string manipulation library (e.g., string-parsing libraries like `js-string-utils`) * Utilizing other string processing techniques, such as parsing from right to left or using a custom parser Keep in mind that these alternatives may not be relevant to the specific use case and performance testing goals outlined in this benchmark.
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