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Early out maybe?
(version: 0)
Comparing performance of:
One return vs Two return
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var a = function() { const apiresponse = { error: '', isError: false, payload: undefined } try { // do stuff if (Math.random() < 0.1) throw new Error("Panic!!!1") apiresponse.payload = 1; } catch (error) { apiresponse.error = error.message; apiresponse.isError = true; } return apiresponse; } var b = function() { const apiresponse = { error: '', isError: false, payload: undefined } try { // do stuff if (Math.random() < 0.1) throw new Error("Panic!!!1") apiresponse.payload = 1; return apiresponse } catch (error) { apiresponse.error = error.message; apiresponse.isError = true; return apiresponse } }
Tests:
One return
for (let i=0; i<10000; i++) a()
Two return
for (let i=0; i<10000; i++) b()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
One return
Two return
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of microbenchmarks. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The benchmark in question tests two functions, `a()` and `b()`, which are similar but have some differences in their return statement handling. **Script Preparation Code** The script preparation code defines two functions, `a()` and `b()`. Both functions: 1. Create an object `apiresponse` with default values. 2. Try to execute some code (simulated by "do stuff"). 3. Introduce randomness: there's a 10% chance of throwing an error (`Panic!!!1`) using `Math.random() < 0.1`. 4. If an error occurs, update the `apiresponse` object with the error message and set `isError` to true. 5. In function `b`, after updating `apiresponse.payload = 1;`, it also returns the updated `apiresponse`. The key difference between the two functions is that in function `a`, the return statement is only present if an error occurs, whereas in function `b`, a return statement is always present. **Html Preparation Code** There is no HTML preparation code provided for this benchmark, which means that the benchmark focuses solely on the JavaScript code. **Options Compared** In the individual test cases, two options are compared: 1. **One Return**: This option calls function `a()` 10,000 times without any return statements. 2. **Two Return**: This option calls function `b()` 10,000 times with a return statement after updating `apiresponse.payload = 1;`. **Pros and Cons** * **One Return**: The main advantage is that it simulates a typical scenario where the function might not always need to return immediately. * However, this approach may not be representative of real-world scenarios where functions often need to return values. * **Two Return**: This approach might be more representative of real-world scenarios where functions frequently return values. However, it introduces an extra return statement, which could potentially impact performance due to the overhead of function calls. **Library and Special JS Feature** Neither function uses any external libraries or special JavaScript features beyond what's normally available in modern browsers. **Other Considerations** When creating microbenchmarks like this one, consider the following: * Keep your benchmarks small and focused on a specific aspect of performance. * Use realistic scenarios to ensure your benchmarks are representative of real-world usage. * Avoid including unnecessary code or external libraries that might skew results. * Test different options (like `one return` vs. `two return`) to see which approach performs better. **Alternatives** If you're looking for alternative benchmarking tools, consider the following: * **Benchmark.js**: A lightweight JavaScript benchmarking library that allows you to write custom benchmarks and run them in various environments. * **jsbench**: A web-based JavaScript benchmarking platform that provides a simple way to create and run benchmarks. Keep in mind that each tool has its strengths and weaknesses, so it's essential to choose the one that best fits your needs.
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