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Function Wrapping
(version: 4)
Comparing performance of:
Direct Call vs Later Call
Created:
9 years ago
by:
Registered User
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Script Preparation code:
var n = 1000000 var arr = new Array(n) for(var i = 0; i < n; i++){ arr[i] = i } class Observer { constructor() { this.value = 0 this.completed = false } next (val) { this.value+=val } complete () { this.completed = true } } class FromDirect { constructor (arr) { this.array = arr } sum (observer) { for (var i = 0; i < this.array.length; ++i) { observer.next(this.array[i]) } observer.complete() } } class FromLater { constructor (arr) { this.array = arr } sum (observer) { for (var i = 0; i < this.array.length; ++i) { observer.next(this.array[i]) } end() function end () { observer.complete() } } } var Ob0 = new Observer() var Ob1 = new Observer()
Tests:
Direct Call
var t0 = new FromDirect(arr) t0.sum(Ob0)
Later Call
var t1 = new FromLater(arr) t1.sum(Ob1)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Direct Call
Later Call
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview** The provided JSON represents a JavaScript benchmarking test case for measuring the performance of two different approaches to calling a function: direct call and later call. The test compares the execution time of these two approaches on an array of 1 million elements. **Benchmark Definition** The benchmark definition is composed of three main parts: 1. **Preparation Code**: This code sets up the necessary variables and data structures for the test, including: * An array `arr` with 1 million elements, initialized with incremental values from 0 to 999,999. * Two observer classes: `Observer` and its subclasses `FromDirect` and `FromLater`. These observers are used to track the value of an object's property `value`. 2. **Script Preparation Code**: This code creates instances of the observer classes and sets up their properties. It also defines a function `sum` that takes an observer as an argument and iterates over the array, calling the `next` method on the observer for each element. 3. **Html Preparation Code**: This field is empty, indicating that no HTML-related preparation code is required. **Test Cases** The test consists of two individual test cases: 1. **Direct Call**: Calls the `sum` function directly on an instance of `FromDirect`, passing an observer instance as an argument. 2. **Later Call**: Calls the `sum` function later, passing an observer instance as an argument. **Options Compared** The benchmark compares the execution time of two approaches: 1. **Direct Call**: Calls the `sum` function immediately, passing the observer instance as an argument. 2. **Later Call**: Calls the `sum` function later, using a separate function to update the observer's `completed` property when the iteration is complete. **Pros and Cons** * **Direct Call**: + Pros: Simple and straightforward approach, easy to understand and implement. + Cons: May incur additional overhead due to the call being made immediately. * **Later Call**: + Pros: Can be beneficial for certain use cases where the observer's `completed` property needs to be updated only after all iterations are complete. + Cons: Adds complexity to the code, requires careful consideration of when to update the observer's state. **Library and Its Purpose** The `Observer` class is a simple implementation of the Observer pattern, which allows objects to notify other objects about changes to their state. In this context, it is used to track the value of an object's property `value`. **Special JS Feature or Syntax** There are no special JavaScript features or syntaxes used in this benchmark. **Alternatives** Other alternatives for implementing the `Observer` pattern include: * **Event-driven programming**: Using events to notify other objects about changes to their state. * **Callback functions**: Passing a callback function as an argument to a function that performs some operation and updates the observer's state. * **Asynchronous programming libraries**: Using libraries like async/await or Promises to implement asynchronous callbacks. Note that these alternatives may offer different trade-offs in terms of complexity, performance, and readability.
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