Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Regex detecting whitespace vs trim
(version: 0)
Comparing performance of:
regex vs trim
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var string = ' fsajdf asdfjosa fjoiawejf oawjfoei jaosdjfsdjfo sfjos 2324234 sdf safjao j o sdlfks dflks l '
Tests:
regex
/\S/.test(string)
trim
string.trim()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
regex
trim
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases to understand what is being tested. **Benchmark Definition** The benchmark measures the performance difference between two approaches: regular expression-based whitespace detection (`/\\S/.test(string)`) and string trimming (`string.trim()`). **Approaches** 1. **Regular Expression-Based Whitespace Detection**: This approach uses a regular expression (`/\\S/`) to detect non-whitespace characters in the input string `string`. The regular expression `/\\S/` matches any character that is not a whitespace character (spaces, tabs, newlines, etc.). The `test()` method of the regex object returns a boolean value indicating whether the string passes the test. In this case, the test is to see if there are any non-whitespace characters in the input string. 2. **String Trimming**: This approach uses the built-in `trim()` method of JavaScript strings to remove whitespace characters from the input string `string`. The `trim()` method returns a new string with whitespace characters removed. **Pros and Cons** 1. **Regular Expression-Based Whitespace Detection**: * Pros: Can be more flexible and accurate for certain use cases, as regular expressions can match complex patterns. * Cons: Regular expressions can be slower and more resource-intensive than simple trimming methods, especially for large input strings. 2. **String Trimming**: * Pros: Faster and more lightweight than regular expression-based approaches, making it suitable for performance-critical applications. * Cons: May not be as flexible or accurate as regular expression-based approaches, potentially leading to incorrect results in certain cases. **Library** In this benchmark, there is no explicit library being used. The `/\\S/.test()` and `string.trim()` functions are part of the built-in JavaScript standard library. **Special JS Feature/Syntax** There is a special syntax used in regular expressions: the `/` character denotes the start of a regex pattern. The `\S` character is a character class that matches any non-whitespace character. The `.` character within the regex pattern is a wildcard that matches any single character. These are all standard JavaScript regex features. **Other Alternatives** If you needed to detect whitespace in a string, other alternatives could include: 1. Using a library like `regex-escape` or `string-trim` for more flexible and accurate results. 2. Implementing a custom trimming algorithm that uses bitwise operations or other optimized methods. 3. Using a different approach altogether, such as using Unicode properties to detect whitespace characters. In general, the choice of approach depends on the specific requirements of your application, including factors like performance, accuracy, and complexity.
Related benchmarks:
Regex detecting whitespace vs trim
Regex removing single whitespace vs multiple whitespaces
Regex checking whitespace vs trim for isEmptyOrOnlyWhitespace
Regex whitespace check vs trim length
Comments
Confirm delete:
Do you really want to delete benchmark?