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regecxt
(version: 0)
Comparing performance of:
url vs long
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var REGEX_URL="(?:[^a-z]){1}";
Tests:
url
"http://www.google.com?q=Georgi+Facello".match(REGEX_URL)
long
"zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm".match(REGEX_URL)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
url
long
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 130 on Android
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Test name
Executions per second
url
413054.4 Ops/sec
long
377651.8 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and its various components to understand what's being tested. **Benchmark Definition** The benchmark definition is represented by two JSON objects: one for the script preparation code and another for the HTML preparation code (which in this case is empty). * **Script Preparation Code**: `var REGEX_URL=\"(?:[^a-z]){1}\";` + This line of code defines a regular expression (regex) pattern using the `REGEX_URL` variable. + The regex pattern `[:^a-z]{1}` matches any character that is not a letter (`[^a-z]`) exactly once (`{1}`). The parentheses around the pattern create a capture group, which is useful for extracting the matched text later. + The purpose of this script preparation code is to define the regex pattern used in the benchmark tests. **Benchmark Tests** The individual test cases are represented by an array of objects: ```json [ { "Benchmark Definition": "\"http://www.google.com?q=Georgi+Facello\".match(REGEX_URL)", "Test Name": "url" }, { "Benchmark Definition": "\"zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm\".match(REGEX_URL)", "Test Name": "long" } ] ``` * **Test Case 1: "url"** + The benchmark definition is `http://www.google.com?q=Georgi+Facello.match(REGEX_URL)`. + This test case matches the regex pattern defined earlier (`REGEX_URL`) against a specific URL string. + The purpose of this test case is to measure the execution time of the JavaScript code that matches the regex pattern with a given URL. * **Test Case 2: "long"** + The benchmark definition is `zwexcvbfytuhijgfvyghjvndveyusbhfdcjnmgbycfhjnmtberuncimv2345678bimfrvekmocdjnxhhbhebvhdmbfxvhebmfvhbxvmehbvnxmehfmvjehxbvjehmbxehbvhvhrvnm.match(REGEX_URL)`. + This test case matches the regex pattern (`REGEX_URL`) against a much longer string, presumably to stress-test the JavaScript engine's performance with large input data. **Other Considerations** * **Performance Testing**: The benchmark tests are designed to measure the execution time of JavaScript code that performs regex matching on different inputs. * **Regular Expressions (regex)**: The regex pattern defined in `REGEX_URL` is used across both test cases. Regex patterns can be complex and may have performance implications depending on the specific use case. **Library Used** There is no explicit mention of a library being used in the benchmark definition. However, it's likely that a JavaScript engine or interpreter (such as V8) is being used to execute the benchmark code. If you want alternatives to MeasureThat.net, some options include: * **Benchmarking frameworks**: Such as BenchmarkJS or js-benchmark * **JavaScript testing libraries**: Like Jest or Mocha, which can be used for performance testing and benchmarking. * **Web benchmarks**: Such as WebPageTest or LoadImpact, which are specifically designed for measuring the performance of web applications.
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