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asdøla skdøla sdasd
(version: 0)
Comparing performance of:
1 vs 2
Created:
6 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var a = [ 'Lorem ipsum dolor sit amet', 'Lorem ipsam dolor sit amet' ]; var reg1 = ['ipsam', 'ipsum']; var reg2 = ['ips(a|u)m'];
Tests:
1
a.forEach(e => reg1.forEach(r => console.log(e.match(r))))
2
a.forEach(e => reg2.forEach(r => console.log(e.match(r))))
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
1
2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.1:latest
, generated one year ago):
Let's dive into the world of microbenchmarking with MeasureThat.net. **Benchmark Description** The benchmark tests two different approaches to searching for a pattern within a string using regular expressions in JavaScript. The test case involves iterating over an array of strings (`a`) and logging any matches found using two different regular expression patterns (`reg1` and `reg2`). **Test Case 1: Using a Simple Regular Expression** The first test case uses the following benchmark definition: ```javascript a.forEach(e => reg1.forEach(r => console.log(e.match(r)))) ``` Here, `reg1` is defined as an array of strings: `['ipsam', 'ipsum']`. The test iterates over each string in `a` and checks if it matches any of the patterns in `reg1` using the `match()` method. **Test Case 2: Using a More Specific Regular Expression** The second test case uses the following benchmark definition: ```javascript a.forEach(e => reg2.forEach(r => console.log(e.match(r)))) ``` In this case, `reg2` is defined as an array of regular expressions: `['ips(a|u)m']`. The test iterates over each string in `a` and checks if it matches any of the patterns in `reg2` using the `match()` method. **What's Being Compared?** The two test cases compare the performance differences between: 1. **Simple Regular Expression**: Using an array of strings (`reg1`) vs. 2. **More Specific Regular Expression**: Using a single regular expression with alternation (`reg2`). **Pros and Cons of Each Approach:** * **Simple Regular Expression (reg1)**: + Pros: Easy to read and understand, straightforward implementation. + Cons: May be less efficient due to the need for multiple `match()` calls per string. * **More Specific Regular Expression (reg2)**: + Pros: Can be more efficient by allowing a single regular expression to match multiple patterns. + Cons: Requires a deeper understanding of regular expressions, may be harder to read and understand. **Other Considerations:** * **Browser Performance**: The benchmark results show significant performance differences between the two test cases on Safari 13 (174609.265625 executions per second vs. 96235.65625 executions per second). * **Regular Expression Engines**: Different browsers have varying regular expression engines, which can impact performance. * **Pattern Complexity**: The complexity of the patterns being matched can also affect performance. **Library and Feature Information:** No external libraries are used in this benchmark. However, it does use built-in JavaScript features like `Array.prototype.forEach()` and `String.prototype.match()`. **Alternatives:** If you need to search for patterns within strings efficiently, consider using: 1. **PCRE (Perl-Compatible Regular Expressions)**: A more powerful regular expression engine that can handle complex patterns. 2. **String.prototype.search()**: A method that allows searching for a pattern within a string without using regular expressions. These alternatives may provide better performance and flexibility in certain scenarios. However, they also come with their own trade-offs and complexities.
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