Benchmark: find number 1 - MeasureThat.net

Script Preparation code:

function fn(v, s) {
    if (!v) {
        return s
    }

    let t = s;

    for (let i = 0; i < 100000; i += s) {
        if (t < v) {
            t += s
        }
    }

    return t
}

Tests:

test 1
fn(7432,400)
test 2
fn(89332,743)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test 1
test 2

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The provided JSON represents a JavaScript microbenchmark test case, which is a small piece of code designed to measure the performance of specific aspects of JavaScript.

**Script Preparation Code**

The script preparation code is a function `fn` that takes two parameters: `v` (the value to find) and `s` (the increment step). The function iterates 100,000 times, starting from index 0 with an increment of `s`, and checks if the current value `t` is less than `v`. If it is, `t` is incremented by `s`.

**Options Compared**

In this benchmark, two options are being compared:

1. **Linear Search**: The function iterates through the array using a linear search approach, checking each element one by one.
2. **Binary Search**: Although not explicitly implemented in the script preparation code, we can infer that the benchmark is comparing the performance of different search algorithms.

**Pros and Cons**

* **Linear Search (s = 400)**:
	+ Pros: Easy to implement, straightforward to understand.
	+ Cons: Has a time complexity of O(n), which means it becomes slower as the array size increases.
* **Binary Search (s = 743)**:
	+ Pros: Has a time complexity of O(log n), making it much faster for large arrays. However, it requires more complex implementation and may have higher overhead due to branch prediction.
	+ Cons: Can be harder to understand and implement, especially for those without prior experience with binary search.

**Library**

In the individual test cases, the `find` function is used from the ECMAScript standard library (ECMAScript 5.1). This function is a built-in method that returns the value of the specified element in an array or returns a default value if no such element exists.

**Special JS Feature/Syntax**

There are none mentioned explicitly, but I assume that the use of `for` loop and `let` variable declaration are standard JavaScript syntax features.

**Other Alternatives**

If you wanted to implement this benchmark from scratch without using the built-in `find` function, you could use:

* **Binary Search Algorithm**: Implement a binary search algorithm like the one described in [Wikipedia's Binary Search article](https://en.wikipedia.org/wiki/Binary_search).
* **Sorting and Iteration**: Sort the array first and then iterate through it to find the desired value.
* **Higher-Level Libraries**: Use libraries like `lodash` or `underscore` that provide implementations of binary search algorithms.

Keep in mind that implementing a benchmark from scratch can be more time-consuming and may not accurately represent real-world use cases. Using existing libraries and built-in functions is often preferred for its efficiency and readability.

Related benchmarks:

find number 1 (version: 0)

Comparing performance of: test 1 vs test 2

Created: 3 years ago by: Guest

Jump to the latest result

test 1

test 2

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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