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Destructuting Function Parameters
(version: 0)
Compares runtimes of destructuring function parameters versus passing them normally.
Comparing performance of:
Normal passing of arguments vs Structured passing of arguments
Created:
3 years ago
by:
Guest
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Tests:
Normal passing of arguments
function f(x, y) { return x + y; } f(1, 2)
Structured passing of arguments
function f({x, y}) { return x + y; } f({x: 1, y: 2})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Normal passing of arguments
Structured passing of arguments
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 JSON for you, explaining what's being tested, the options compared, their pros and cons, and any notable libraries or features used. **Benchmark Definition** The benchmark tests two approaches to passing function parameters: 1. **Normal passing of arguments**: The function `f` takes two separate arguments, `x` and `y`, which are then added together. 2. **Structured passing of arguments**: The function `f` expects an object with `x` and `y` properties, which are then accessed and added together. **Options Compared** The benchmark compares the performance (in terms of executions per second) of these two approaches. **Pros and Cons of Each Approach** 1. **Normal passing of arguments** * Pros: + Typically faster since it avoids object creation and property access. + Can be more readable for simple functions. * Cons: + May lead to performance issues if the function is called with many small arguments, as each argument would need to be created separately. 2. **Structured passing of arguments** * Pros: + Can be more efficient when working with large objects or multiple properties, as it avoids creating separate variables for each property. * Cons: + May lead to slower performance due to object creation and property access. + Requires explicit object definition, which can make code harder to read. **Notable Libraries or Features Used** None are explicitly mentioned in the provided JSON. However, it's worth noting that this benchmark focuses on a fundamental aspect of JavaScript programming: function argument handling. **Special JS Feature or Syntax** This benchmark uses JavaScript's destructuring syntax (e.g., `{x, y}`) to expect an object with properties `x` and `y`. This feature is available in modern JavaScript versions, starting from ECMAScript 2010 (ES5.1). **Other Considerations** When writing functions that take multiple arguments, it's essential to consider the performance implications of each approach, especially when working with large objects or many small arguments. **Alternatives** If you're looking for alternative benchmarks or similar experiments, here are a few suggestions: * Measure the performance of different function call patterns, such as using `call`, `apply`, or passing a new array of arguments. * Compare the execution times of functions with and without closures. * Investigate the impact of JavaScript's garbage collector on function performance. Keep in mind that benchmarking is an art, and results may vary depending on the specific use case, environment, and hardware. It's essential to run multiple tests and consider other factors when interpreting benchmarking results.
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