Benchmark: find half some - MeasureThat.net

Tests:

half
const data = new Array(1000).fill(null).map((n, i) => i); const bisectHalf = (arr, cv) => { const index = Math.round(arr.length / 2); for (let chunk = arr.length / 2; chunk > 1; chunk /= 2) { if(arr[index] <= cv && arr[index + 1] && arr[index + 1] > cv) { chunk = 0; return; } } return index; } bisectHalf(data, 100); bisectHalf(data, 200); bisectHalf(data, 300); bisectHalf(data, 400); bisectHalf(data, 500); bisectHalf(data, 50); bisectHalf(data, 950);
some
const data = new Array(1000).fill(null).map((n, i) => i); const bisectSome = (arr, cv) => { let index = -1; arr.some((el, i) => { if (el < cv) { return false; } else { index = i - 1; return true; } }); return arr[index]; }; bisectSome(data, 100); bisectSome(data, 200); bisectSome(data, 300); bisectSome(data, 400); bisectSome(data, 500); bisectSome(data, 50); bisectSome(data, 950);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
half
some

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.85 Safari/537.36

Browser/OS: Chrome 90 on Windows

View result in a separate tab

Test name	Executions per second
half	78767.8 Ops/sec
some	60109.4 Ops/sec

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

LLMs can make mistakes. Check important info.

Measuring performance and optimizing code is crucial in software development. Let's break down the provided benchmark definition, test cases, and results to understand what's being tested.

**Benchmark Definition**

The provided JSON represents a JavaScript microbenchmark. A microbenchmark is a small piece of code designed to measure the performance of specific aspects of an application. In this case, two functions are being compared:

1. `bisectHalf`: This function takes an array and a value as input and returns the index of the first element that is greater than or equal to the given value. The function uses a binary search approach to find the desired index.
2. `bisectSome`: This function also takes an array and a value as input and returns the value at the index where the element is less than the given value. However, unlike `bisectHalf`, this function uses the `some()` method with a callback function.

**Options Compared**

The two functions are being compared for their performance in different scenarios:

* `bisectHalf` vs. `bisectSome`
* Searching for a specific value (`100`, `200`, `300`, etc.) vs. searching for any value less than the given value (in the case of `some()`)

**Pros and Cons**

1. **bisectHalf**: This function has a clear advantage in terms of performance, as it uses a binary search approach, which is generally faster than linear searches.
	* Pros: Fast, efficient, and scalable.
	* Cons: May be overkill for simple use cases where `some()` would suffice.
2. **bisectSome**: While not as performant as `bisectHalf`, this function has the advantage of being simpler to implement and more suitable for scenarios where you only need to find the first element that meets a condition (e.g., "some" in an array).
	* Pros: Simpler, easier to understand, and can be faster than `bisectHalf` in certain scenarios.
	* Cons: May not be as efficient or scalable as `bisectHalf`.

**Libraries Used**

None of the test cases explicitly use any external libraries.

**Special JavaScript Features or Syntax**

None mentioned.

**Other Alternatives**

If you were to implement these functions from scratch, you could also consider using other approaches, such as:

* Using a data structure like a balanced binary search tree (e.g., AVL tree or red-black tree) to store and retrieve elements efficiently.
* Implementing an interpolation search algorithm, which can be faster than binary search in certain scenarios.
* Using a JavaScript library like `fast-bsearch` or `binary-search`, which provides optimized implementations of these algorithms.

However, the provided benchmark definition and test cases seem to focus on comparing the performance of simple iterative approaches (`bisectHalf` and `bisectSome`) rather than exploring more complex data structures or algorithmic optimizations.

Related benchmarks:

find half some (version: 0)

Comparing performance of: half vs some

Created: 3 years ago by: Guest

Jump to the latest result

half

some

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):