Benchmark: Find vs Some 2 - MeasureThat.net

Script Preparation code:

var hasZero = [];
var withoutZero = [];
for (var i = 0; i < 10000; i++) {
  hasZero.push(Math.floor(Math.random() * 1000));
  withoutZero.push(Math.floor(Math.random() * 1000) + 1)
}

Tests:

"some" case
var tempResult = !!Math.round(Math.random()) ? hasZero.some(v => v === 0) : withoutZero.some(v => v === 0);
"find" case
var tempResult = !!Math.round(Math.random()) ? hasZero.filter(v => v === 0) : withoutZero.find(v => v === 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
"some" case
"find" case

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.83 Safari/537.36

Browser/OS: Chrome 85 on Mac OS X 10.15.5

View result in a separate tab

Test name	Executions per second
"some" case	150117.8 Ops/sec
"find" case	43018.2 Ops/sec

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

LLMs can make mistakes. Check important info.

I'll break down the provided JSON and explain what's being tested, along with the pros and cons of each approach.

**Benchmark Definition**

The benchmark definition represents a JavaScript microbenchmark that tests two different approaches to find or filter elements in an array: `some` and `find`. The script preparation code generates two arrays, `hasZero` and `withoutZero`, containing random integers. The HTML preparation code is empty.

**Script Preparation Code**

```javascript
var hasZero = [];
var withoutZero = [];

for (var i = 0; i < 10000; i++) {
  hasZero.push(Math.floor(Math.random() * 1000));
  withoutZero.push(Math.floor(Math.random() * 1000) + 1);
}
```

This code creates two arrays with 10,000 random integers. The `hasZero` array contains only integers that are less than or equal to 999, while the `withoutZero` array contains integers that are greater than 999.

**Html Preparation Code**

The HTML preparation code is empty, which means there's no additional setup required for the benchmark.

**Individual Test Cases**

There are two test cases:

1. **"some" case**: This test uses the `some()` method to check if any element in the array is equal to 0.
```javascript
var tempResult = !!Math.round(Math.random()) ? hasZero.some(v => v === 0) : withoutZero.some(v => v === 0);
```
2. **"find" case**: This test uses the `find()` method to find the first element in the array that is equal to 0.
```javascript
var tempResult = !!Math.round(Math.random()) ? hasZero.filter(v => v === 0) : withoutZero.find(v => v === 0);
```
**Library and Purpose**

In both test cases, the `some()` and `find()` methods are used. These methods are part of the ECMAScript standard and are implemented by most JavaScript engines.

* `some()`: Returns `true` if at least one element in the array is equal to the specified value. If no elements match, it returns `false`.
* `find()`: Returns the first element in the array that satisfies the provided condition. If no elements match, it returns `undefined`.

**Special JS Features or Syntax**

There are a few special features in this benchmark:

* The `!!` operator is used to convert the result of `Math.random()` to an integer.
* The `Math.round(Math.random())` expression is used to generate a random number between 0 and 1. This is done using the modulo operator (`%`) on 1000, which gives a random integer between 0 and 999.

**Pros and Cons**

Here are some pros and cons of each approach:

* **some()**
	+ Pros:
		- More efficient for large arrays (only checks one element at a time)
		- Can be faster for arrays with many falsy values
	+ Cons:
		- May be slower for small arrays or arrays with few elements
* **find()**
	+ Pros:
		- Faster for finding the first occurrence of an element in a sorted array
		- More readable code ( explicit search instead of implicit checking)
	+ Cons:
		- Slower for large arrays due to the need to iterate over the entire array

**Alternatives**

If you're looking for alternatives, here are a few options:

* Use a library like Lodash or Ramda, which provide optimized implementations of `some()` and `find()`.
* Use a specialized library like FastFind or Findify, which are designed specifically for finding elements in arrays.
* Implement your own custom versions of `some()` and `find()` using bitwise operations or other tricks to optimize performance.

Keep in mind that the choice of implementation depends on the specific use case and requirements.

Related benchmarks:

Find vs Some 2 (version: 0)

Comparing performance of: "some" case vs "find" case

Created: 3 years ago by: Guest

Jump to the latest result

"some" case

"find" case

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):