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CSS value prefixer RegExps
(version: 3)
Comparing performance of:
r1 vs r2
Created:
5 years ago
by:
Registered User
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Script Preparation code:
var r1 = /^(?:(pos)|((?:max-|min-)?(?:widt|inl)|block-s)|(dis))/i; var r2 = /^(?:(pos)|((?:max-|min-)?(?:widt|inl)|b.*?e)|(dis))/i; var properties = [ "position", "block-size", "min-width", "display", "min-inline-size", "inline-size", "width", "max-inline-size", "max-width" ];
Tests:
r1
var result = properties.map(function (property) { return r1.test(property); });
r2
var result = properties.map(function (property) { return r2.test(property); });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
r1
r2
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the benchmark, its options, pros and cons, and other considerations. **What is being tested?** The provided JSON represents a JavaScript microbenchmark that tests the performance of regular expression (Regex) patterns on different CSS values. Specifically, it measures how fast two different Regex patterns (`r1` and `r2`) can match against a list of CSS properties. **Options compared:** The benchmark compares two approaches: 1. **Regular Expression Pattern 1 (`r1`)**: * The pattern is `^(?:(pos)|((?:max-|min-)?(?:widt|inl)|block-s)|(dis))/i;` * This pattern uses a lookahead assertion to ensure that the matched string does not contain certain characters, and an anchor (`/i`) to make the search case-insensitive. 2. **Regular Expression Pattern 2 (`r2`)**: * The pattern is `^(?:(pos)|((?:max-|min-)?(?:widt|inl)|b.*?e)|(dis))/i;` * This pattern uses a negative lookahead assertion to match against strings that do not contain certain characters. **Pros and Cons:** 1. **Pattern 1 (`r1`)**: * Pros: + More efficient in terms of memory usage, as it avoids the overhead of recursive lookaheads. + Faster execution times for larger input datasets. * Cons: + May be less readable and maintainable due to its complexity. 2. **Pattern 2 (`r2`)**: * Pros: + More concise and easier to read/maintain, as it uses a simpler syntax. * Cons: + May be slower than `r1` for larger input datasets due to the overhead of recursive lookaheads. **Library usage:** Neither of the patterns uses an external library. However, the benchmark does use built-in JavaScript features such as regular expressions (`RegExp`) and array methods (`map()`). **Special JS feature or syntax:** There are no special JS features or syntax used in this benchmark. **Other considerations:** * The benchmark assumes that the input dataset is a list of CSS properties, which may not be representative of real-world use cases. * The benchmark's focus on performance might lead to optimization over other aspects such as code readability and maintainability. * The benchmark could benefit from additional test cases or variations to further validate its results. **Alternatives:** If you're interested in exploring alternative approaches, here are a few options: 1. **Use a different regular expression library**: Instead of using built-in JavaScript regex patterns, consider using an external library like `regex-escape` or `regex-execution-plan`. 2. **Try different optimization techniques**: Experiment with other performance optimization techniques, such as parallelization, caching, or memoization. 3. **Add more test cases or variations**: Extend the benchmark to include additional test cases, such as testing different input datasets, browsers, or devices. 4. **Use a different programming language**: Consider rewriting the benchmark in another programming language, such as C++ or Rust, to explore performance differences.
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