Benchmark: Find vs some lodash2

HTML Preparation code:

<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.core.js"></script>

Script Preparation code:

var a = ['hello', 'a', 'bc'];

Tests:

Find
var c = 0; var b = _.find(a, item => item === 'bc'); if(b) c++;
Some
var c = 0; var b = _.some(a, item => item === 'bc'); if(b) c++

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Find
Some

Fastest: N/A

Slowest: N/A

Latest run results:

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

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

**Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The goal is to compare different approaches to a specific problem or task, in this case, finding an item in an array using two different methods: `lodash.find()` and `lodash.some()`. The benchmark provides a script preparation code, HTML preparation code (which includes the library), and individual test cases.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides various functions for tasks such as array manipulation, object creation, and more. In this benchmark, Lodash is used to implement the `find()` and `some()` methods. The `lodash.js` file is included in the HTML preparation code.

**Test Cases**

There are two test cases:

1. **Find**: This test case uses the `_.find()` method to find an item with a specific value ('bc') in the array `a`. If found, it increments a counter variable `c`.
2. **Some**: This test case uses the `_.some()` method to check if any item in the array `a` has a specific value ('bc'). If true, it increments a counter variable `c`.

**Approaches Compared**

The two approaches compared are:

* Using `_.find()`: This method searches for an exact match of the specified value (`'bc'`) within the array. It returns the first item that matches the condition and continues searching if no match is found.
* Using `_.some()`: This method checks if at least one item in the array satisfies the condition (in this case, having a value equal to `'bc'`). If true, it returns `true` and stops searching.

**Pros and Cons**

* **_.find()`:
	+ Pros: Can be faster for finding exact matches, especially when working with small datasets.
	+ Cons: May return incorrect results if the search range is large or the array is unsorted.
* **_.some()**:
	+ Pros: More efficient for larger datasets or when a single match is sufficient, as it stops searching once a match is found.
	+ Cons: May be slower than `_.find()` for exact matches and may return incorrect results if the search range is large.

**Other Considerations**

* **Execution Frequency**: The number of executions per second (ExecutionsPerSecond) indicates how often each test case executes. In this case, both tests execute at a high frequency, suggesting that the code is optimized for performance.
* **Device and Browser Variability**: The benchmark results are reported as raw UA strings, which likely represent different device and browser configurations. This makes it challenging to draw conclusions about optimal implementation techniques across all possible devices and browsers.

**Alternatives**

Other approaches to implement these methods could include:

* Using the built-in `Array.prototype.find()` and `Array.prototype.some()` methods ( native JavaScript).
* Implementing custom loops or recursive functions to search for matches.
* Utilizing other libraries or frameworks that provide similar functionality, such as Ramda or Liskelab.

Keep in mind that these alternatives might not be as efficient or optimized as the current implementation using Lodash.

Related benchmarks:

Find vs some lodash2 (version: 0)

Comparing performance of: Find vs Some

Created: 6 years ago by: Guest

Jump to the latest result

Find

Some

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):