Benchmark: testasdfs - MeasureThat.net

Script Preparation code:


var funcMap = {
  'a': function() { return 1; },
  'b': function() { return 2; },
  'c': function() { return 3; },
  'd': function() { return 4; },
  'e': function() { return 5; }
}


function getRandomKey() {
  var rIdx = Math.floor(Math.random() * 5);
  return Object.keys(funcMap)[rIdx];
}

Tests:

using funcMap
var key = getRandomKey(); var x = funcMap[key](); console.log(x);
using switch
var key = getRandomKey(); var x; switch(key) { case 'a': x = 1; break; case 'b': x = 2; break; case 'c': x = 3; break; case 'd': x = 4; break; case 'e': x = 5; break; } console.log(x);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
using funcMap
using switch

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 8 years ago)

User agent: Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/53.0.2785.101 Safari/537.36

Browser/OS: Chrome 53 on Windows 7

View result in a separate tab

Test name	Executions per second
using funcMap	86974.1 Ops/sec
using switch	88378.8 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark definition and test cases.

**Benchmark Definition:**
The benchmark definition is a JSON object that represents a JavaScript microbenchmark. It has three main sections:

* **Name**: A unique name for the benchmark, which in this case is "testasdfs".
* **Description**: A brief description of the benchmark, which is just "test".
* **Script Preparation Code**: This section contains JavaScript code that prepares the environment for the benchmark. In this case, it defines an object `funcMap` with five functions (a, b, c, d, e) and a function `getRandomKey()` that returns a random key from the `funcMap` object.

**Individual Test Cases:**
The benchmark definition includes two test cases:

* **"using funcMap"`**: This test case uses the `funcMap` object to retrieve a function based on a randomly generated key. It logs the result of calling this function.
* **"using switch"`**: This test case uses a `switch` statement to execute different blocks of code based on the value of the `key` variable, which is also generated randomly.

**Options Compared:**
The two test cases compare the performance of using an object map (`funcMap`) versus a `switch` statement to retrieve and execute functions dynamically.

**Pros and Cons of Each Approach:**

* **Using `funcMap`:**
	+ Pros:
		- More concise and expressive code
		- Can be faster for large numbers of cases, since JavaScript can use caching and optimization techniques
	+ Cons:
		- May have higher memory overhead due to the need to store the object map and its contents
		- Can be slower if the number of cases is too high, since JavaScript needs to look up each case in the map
* **Using `switch`:**
	+ Pros:
		- Generally faster and more efficient, especially for small to medium-sized numbers of cases
		- Less memory overhead than using an object map
	+ Cons:
		- Can be longer and less readable code, since each case needs to have a separate block of code

**Library Used:**
The `getRandomKey()` function is not a built-in JavaScript library; it's a custom implementation that returns a random key from the `funcMap` object. This function is likely used to simulate real-world scenarios where dynamic key lookup is needed.

**Special JS Feature or Syntax:**
None of the provided code uses any special JavaScript features or syntax, such as `async/await`, `promises`, or experimental JavaScript APIs.

**Other Alternatives:**
There are other approaches that could be used to implement this benchmark, such as:

* **Dynamic Function Invocation using `call()` or `apply()`:** Instead of using an object map or a `switch` statement, you could use the `call()` or `apply()` methods to invoke functions dynamically based on a key.
* **Using `Map` instead of `Object`:** You could use JavaScript's built-in `Map` data structure instead of an object map (`funcMap`) for dynamic key lookup.
* **Using a library like Lodash:** You could use a utility library like Lodash to implement the dynamic function invocation logic.

However, these alternatives are not explicitly mentioned in the benchmark definition and may require additional code changes.

Related benchmarks:

testasdfs (version: 0)

test

Comparing performance of: using funcMap vs using switch

Created: 8 years ago by: Guest

Jump to the latest result

using funcMap

using switch

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):