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cycle vs regex
(version: 0)
Comparing performance of:
cycle eng_str vs cycle rus_str vs regex eng_str vs regex rus_str
Created:
8 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
function is_only_eng_letters_and_digits(str) { for (let index = 0; index < str.length; index++) { const code = str.charCodeAt(index); if (!(code >= 65 && code <= 90) && !(code >= 97 && code <= 122) && !(code >= 48 && code <= 57)) { return false; } } return true; } var eng_str = "qwerty123"; var rus_str = "qwertyФЫВА123";
Tests:
cycle eng_str
for (let index = 0; index < 100000; index++) { is_only_eng_letters_and_digits(eng_str); }
cycle rus_str
for (let index = 0; index < 100000; index++) { is_only_eng_letters_and_digits(rus_str); }
regex eng_str
for (let index = 0; index < 100000; index++) { /^[A-Z0-9]+$/i.test(eng_str); }
regex rus_str
for (let index = 0; index < 100000; index++) { /^[A-Z0-9]+$/i.test(rus_str); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
cycle eng_str
cycle rus_str
regex eng_str
regex rus_str
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Overview** The provided JSON represents a JavaScript microbenchmark test created on the MeasureThat.net platform. The benchmark compares the execution performance of two approaches: using `for` loops to iterate over strings and using regular expressions (`regex`) to filter out non-alphanumeric characters. **Test Cases** There are four individual test cases: 1. **Cycle Eng Str**: Iterates 100,000 times over a string containing only English letters and digits. 2. **Cycle Rus Str**: Iterates 100,000 times over a string containing Russian letters (using the Cyrillic alphabet). 3. **Regex Eng Str**: Uses regular expressions to test if each character in the string is an English letter or digit. 4. **Regex Rus Str**: Similar to the previous point, but tests against the Russian alphabet. **Approaches Compared** The benchmark compares two approaches: 1. **For Loops (Cycle)**: Iterates over a string using traditional `for` loops, which are generally slower and more memory-intensive than other methods. 2. **Regular Expressions (Regex)**: Uses regular expressions to filter out non-alphanumeric characters, which is typically faster and more efficient. **Pros and Cons** **For Loops (Cycle)** Pros: * Easy to understand and implement * Can be optimized for specific use cases Cons: * Generally slower and less efficient than other methods * More memory-intensive due to the need to store iteration variables **Regular Expressions (Regex)** Pros: * Typically faster and more efficient * Can handle complex filtering rules with a single expression Cons: * Can be slower for very large datasets * May require more processing power due to the use of regex engines **Library Used** The `test()` function in each benchmark definition is not explicitly stated, but it's likely that MeasureThat.net uses an internal implementation that provides a consistent and efficient way to execute JavaScript tests. **Special JS Feature/Syntax** There are no specific JavaScript features or syntax mentioned in the provided code. The use of regular expressions is a standard JavaScript feature, and the `for` loops are also a standard construct. **Other Alternatives** If you're interested in exploring alternative approaches, here are some options: 1. **Array.prototype.forEach()**: Instead of using traditional `for` loops, you can use `forEach()` to iterate over arrays. 2. **String.prototype.replace()**: You can use the `replace()` method to filter out non-alphanumeric characters from a string. 3. **Set operations**: You can use Set data structures to efficiently filter out non-alphanumeric characters. Keep in mind that the performance benefits of these alternatives may vary depending on the specific use case and hardware.
Related benchmarks:
cycle vs regex
cycle vs regex
Alphanumeric String
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