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Global matching regex with and without + char
(version: 0)
Comparison of performance of /[^a-z0-9]+/gi vs /[^a-z0-9]/gi in replace function, i.e. one vs many matches
Comparing performance of:
With + vs Without +
Created:
9 years ago
by:
Guest
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Script Preparation code:
var dummyString = 'Hello'; var iterations = 2500;
Tests:
With +
for (var i = 0; i < iterations; i++) { dummyString.replace(/[^a-z0-9]+/gi, ''); }
Without +
for (var i = 0; i < iterations; i++) { dummyString.replace(/[^a-z0-9]/gi, ''); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
With +
Without +
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and test cases. **Benchmark Definition:** The benchmark is comparing the performance of two regular expression patterns: 1. `/[^a-z0-9]+/gi` (with `+` character) 2. `/[^a-z0-9]/gi` (without `+` character) The pattern `/[^a-z0-9]+/gi` matches one or more characters that are not alphanumeric (`+` quantifier) globally (`i`) and ignoring case (`g`). The pattern `/[^a-z0-9]/gi` matches a single non-alphanumeric character globally (`i`) and ignoring case (`g`). **Options Compared:** The two options being compared are: 1. Matching one or more non-alphanumeric characters. 2. Matching a single non-alphanumeric character. **Pros and Cons of Each Approach:** 1. **Matching one or more non-alphanumeric characters (/[^a-z0-9]+/gi)**: * Pros: + More efficient when the pattern matches multiple times in the string (cache-friendly). + Can be faster for larger strings. * Cons: + May not match a single character, which can lead to slower performance if only one non-alphanumeric character needs to be matched. 2. **Matching a single non-alphanumeric character (/[^a-z0-9]/gi)**: * Pros: + Guaranteed to match exactly one non-alphanumeric character. + May be faster when only a single match is needed. * Cons: + Less efficient than matching multiple characters due to the overhead of multiple regex engine calls. **Other Considerations:** 1. **Library:** The `replace()` method is a built-in JavaScript function, which means no external library is required. 2. **Special JS feature:** There are no special JavaScript features or syntax mentioned in the benchmark definition. **Alternative Benchmarking Approaches:** If you want to explore alternative approaches, consider these: 1. **Using a regex testing tool like regex101.com**: This can help you visualize and compare the performance of different regex patterns without writing your own benchmark code. 2. **Creating a custom microbenchmark using a framework like Jest or Mocha**: These frameworks provide more advanced features for creating efficient benchmarks, such as parallel execution and caching. 3. **Using a JavaScript profiling tool like V8 Inspector or Node.js Inspector**: These tools can help you understand the performance characteristics of your code in a real-world context. Keep in mind that the choice of benchmarking approach depends on your specific use case, performance requirements, and personal preferences.
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