Benchmark: shiftArray - MeasureThat.net

Tests:

first
const chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ!@#$%^&*()_+-=[]{}|¿€Ø<>?/~`"; let length = Math.floor(Math.random() * 11) + 8 const shiftArray = (arr) => { if (arr.length > 0 && arr.every((x) => x === "")) { length = Math.floor(Math.random() * 9) + 10; return []; } if (arr.length < length) { arr = [chars[Math.floor(Math.random() * 56)], ...arr]; } else if (arr.length < 24) { arr = ["", ...arr]; } else { arr = ["", ...arr]; arr.pop(); } return arr; }; shiftArray([])
second
const chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ!@#$%^&*()_+-=[]{}|¿€Ø<>?/~`"; let length = Math.floor(Math.random() * 11) + 8 const shiftArray = (arr) => { if (arr.length > 0 && arr.every((x) => x === "")) { length = Math.floor(Math.random() * 9) + 10; return []; } if (arr.length < length) { arr = [chars[Math.floor(Math.random() * 56)], ...arr]; } else if (arr.length < 24) { arr = ["", ...arr]; } else { arr = ["", ...arr]; arr.pop(); } return arr; }; shiftArray(["A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A","A"])

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
first
second

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
first	3362397.2 Ops/sec
second	4882179.0 Ops/sec

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

LLMs can make mistakes. Check important info.

The provided JSON represents two benchmark test cases for measuring the performance of JavaScript functions, specifically the `shiftArray` function. The benchmark tests the execution time of this function under different conditions.

**Benchmark Definition**

In the context of MeasureThat.net, the "Benchmark Definition" refers to the code that defines the JavaScript function being tested, in this case, `shiftArray`. This function takes an array as input and returns a modified version of it.

The Benchmark Definition JSON contains two test cases:

1. **Test Case 1**: The function is called with an empty array (`[]`).
2. **Test Case 2**: The function is called with a specific pre-defined array containing 24 identical elements (`"A","A","A","A"...`).

**Options Compared**

The benchmark tests the execution time of two different approaches for the `shiftArray` function:

1. **Approach 1**: If the input array length is greater than or equal to 24, it returns a new array with the last element removed (`arr.pop()`).
2. **Approach 2**: For input arrays of lengths less than 24, it adds random characters to the end of the array until its length reaches 24.

**Pros and Cons of Different Approaches**

1. **Approach 1**: Pros:
	* May be more efficient for large input arrays.
	* Returns a new array with the last element removed, which may be desirable in some use cases.
Cons:
	* May be slower for small input arrays due to the overhead of removing an element from an array.
2. **Approach 2**: Pros:
	* May be faster for small input arrays due to the reduced overhead of adding elements to the end of the array.
Cons:
	* May consume more memory as the array grows in size.

**Library and Special JS Features**

There is no explicitly mentioned library used in the Benchmark Definition JSON. However, the `shiftArray` function uses a technique called "push assignment" (`arr.push(...)`), which is a common JavaScript idiom for adding elements to an array.

No special JS features or syntax are explicitly mentioned in the Benchmark Definition JSON.

**Other Alternatives**

If the goal is to optimize the performance of the `shiftArray` function, alternative approaches could include:

1. Using `array.prototype.slice()` instead of `push assignment` to create a new array.
2. Implementing a more efficient algorithm for removing elements from an array (e.g., using a stack data structure).
3. Using parallel processing or multithreading to take advantage of multi-core CPUs.

However, without additional information about the specific requirements and constraints of the use case, it's difficult to recommend the best approach.

Related benchmarks:

shiftArray (version: 0)

Comparing performance of: first vs second

Created: one year ago by: Guest

Jump to the latest result

first

second

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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