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Function.prototype.call vs direct call (2)
(version: 1)
Comparing performance of:
direct vs Function.prototype.call
Created:
6 years ago
by:
Registered User
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Script Preparation code:
var testObj = { one: '1', two: '2' } function test (item) { return testObj[item]; } var selectpicker = {}; selectpicker.direct = function () { var result = test('one'); } selectpicker.functionCall = function () { var result = test.call(this, 'one'); }
Tests:
direct
for (var i = 0; i < 100; i++) { selectpicker.direct(); }
Function.prototype.call
for (var i = 0; i < 100; i++) { selectpicker.functionCall(); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
direct
Function.prototype.call
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
11 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/119.0
Browser/OS:
Firefox 119 on Windows
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Test name
Executions per second
direct
7353057.0 Ops/sec
Function.prototype.call
4010087.2 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the benchmark in detail. **Benchmark Definition** The provided JSON represents a JavaScript microbenchmarking test case. It's designed to measure the performance difference between two approaches: `direct` and `Function.prototype.call`. The test is centered around the `selectpicker` object, which has two methods: `direct()` and `functionCall()`. Here's what's being tested: * The `direct` method: This method calls the `test()` function directly on the `selectpicker` object, passing `'one'` as an argument. The `test()` function returns a value from an object `testObj`. * The `Function.prototype.call` approach: This method uses the `call()` method of the `Function.prototype`, which invokes the function with a specific context (in this case, the `selectpicker` object) and arguments. **Options Compared** The benchmark compares the performance of these two approaches. Specifically: 1. **Direct call**: The `direct` method calls `test('one')` directly on the `selectpicker` object. 2. **Function.prototype.call**: The `functionCall` method uses `call()` to invoke the `test()` function with the `selectpicker` object as context and `'one'` as an argument. **Pros and Cons** * **Direct call**: Pros: + Simple and straightforward approach. + Might be faster due to fewer overheads (e.g., less context switching). Cons: + Less explicit, which might lead to confusion or mistakes. * **Function.prototype.call**: Pros: + More explicit and controlled approach. + Can provide better performance by using the `call()` method's optimized implementation. Cons: + Might introduce additional overhead due to the `call()` method invocation. **Other Considerations** The benchmark doesn't consider other factors that might impact performance, such as: * **Optimization**: The code might be optimized for performance, which could affect the results. * **Browser-specific behavior**: Different browsers might behave differently when executing this code. * **Garbage collection**: Garbage collection cycles can interfere with the benchmarking results. **Library and Special JS Features** The provided JSON doesn't explicitly mention a library or special JavaScript features. However, it's worth noting that: * The `Function.prototype.call` approach uses an older syntax, which might be deprecated in newer browsers. * The `test()` function is not defined in the benchmark, suggesting that it's part of the test setup code. **Alternatives** If you wanted to create a similar benchmarking test case using different approaches or considering additional factors, you could explore alternatives such as: * **Using a testing library**: Consider using a testing framework like Jest or Mocha to create more robust and maintainable benchmarks. * **Profiling tools**: Use built-in profiling tools (e.g., Chrome DevTools) or third-party libraries to measure performance in more detail. * **Multi-threading or concurrent execution**: Test the same code on multiple threads or using concurrency mechanisms to simulate real-world scenarios. * **Different programming languages or frameworks**: Compare the performance of the same approach across different languages or frameworks.
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