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OR JS Regex vs 2 .startsWith
(version: 0)
fork of https://www.measurethat.net/Benchmarks/Show/975/11/regex-vs-indexof-vs-startswith-vs-substr
Comparing performance of:
regex start vs startsWith
Created:
4 years ago
by:
Guest
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HTML Preparation code:
<div></div>
Script Preparation code:
window.regexStart = /^(test|test2)/; window.regexEnd = /test$/; window.match = 'test'; window.match2 = 'test2'; window.matchLength = window.match.length; var data = window.data = []; const possible = "ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789"; var TOTAL_STRINGS = window.TOTAL_STRINGS = 100000; function getRandomInt(max) { return Math.floor(Math.random() * max); } function makeRandomString(len) { var text = ""; for( var i=0; i < len; i++ ) { text += possible.charAt(getRandomInt(possible.length)); } return text; } while (data.length < TOTAL_STRINGS) { data.push(makeRandomString(getRandomInt(20))); }
Tests:
regex start
var x = 0; var TOTAL_STRINGS = window.TOTAL_STRINGS; var data = window.data; var regex = window.regexStart; while (x < TOTAL_STRINGS) { const str = data[x]; regex.test(str); x += 1; }
startsWith
var x = 0; var TOTAL_STRINGS = window.TOTAL_STRINGS; var data = window.data; var match = window.match; var match2 = window.match2; while (x < TOTAL_STRINGS) { const str = data[x]; str.startsWith(match) === 0; str.startsWith(match2) === 0; x += 1; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
regex start
startsWith
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared, and their pros/cons. **Benchmark Overview** The test compares two approaches: 1. **Regex**: Using a regular expression (`regex`) to search for a pattern in strings. 2. **startsWith**: Using the `startsWith` method to check if a string starts with a specific value. **Registry Functionality** In the provided JSON, we have several registry functions defined at the top: * `window.regexStart`: sets up a regular expression that matches "test" or "test2". * `window.regexEnd`: sets up an end-of-string marker `/test$/`. * `window.match` and `window.match2`: set up match values for "test" and "test2", respectively. * `window.matchLength` stores the length of the match value. * `window.data` stores an array of random strings generated by the `makeRandomString` function. The registry functions are used to prepare the test environment, including setting up the regular expression and data arrays. **Test Cases** There are two individual test cases: 1. **Regex Start**: This test case uses the `regexStart` function to search for matches in each string in the `window.data` array. 2. **StartsWith**: This test case uses the `startsWith` method to check if each string starts with either `window.match` or `window.match2`. **Comparison** The comparison between the two approaches is performed by executing both tests and measuring their execution times. **Pros/Cons of Each Approach** * **Regex**: Pros: + Can be used for complex pattern matching. + Can be optimized using flags and other options. * Cons: + Can be slower due to parsing and compilation overhead. + Can be less readable than other approaches. * **startsWith**: Pros: + Faster execution times, as it uses a built-in method. + More readable, as it's a straightforward method call. * Cons: + Limited to checking if a string starts with a specific value. + May not perform well on large datasets or complex patterns. **Other Considerations** * The `makeRandomString` function generates random strings for the test data. This can impact performance and readability of the benchmark. * The use of `window.data` and `window.match`/`window.match2` as global variables may affect performance or security (if not properly sanitized). * The comparison is done using a simple loop, which may not accurately represent real-world usage scenarios. **Alternatives** Other approaches to compare would include: * Using other regular expression engines or libraries. * Implementing custom string matching functions. * Using other built-in methods, such as `includes` or `localeCompare`. * Comparing performance with different optimization techniques (e.g., caching, memoization). Keep in mind that this is just a general overview of the benchmark and may not cover all nuances. For deeper analysis, it's recommended to consult the MeasureThat.net documentation and explore the provided benchmark code in more detail.
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