Benchmark: Test lodash v2 - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>

Script Preparation code:

var array = _.range(10000);

Tests:

Strict
_.reduce(_.map(_.filter(array, function(n) { return n > 2; }), function(n) { return n+1; }), function(acc, n) { acc.push({test: n}); return acc; }, []);
Lazy
_(array).filter(function(n) { return n > 2; }).map(function(n) { return n+1;}).reduce(function(acc, n) { acc.push({test: n}); return acc; }, []);
Lazy with one function
_(array).reduce(function(acc, n) { if(n <= 2) return acc; else { acc.push({test: n + 1}); return acc; } }, []);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Strict
Lazy
Lazy with one function

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down what's being tested in the provided benchmark.

**Library: Lodash**

Lodash is a popular JavaScript utility library that provides a lot of useful functions for various tasks, such as array manipulation, string manipulation, and more. In this benchmark, Lodash is used to implement different algorithms for filtering, mapping, reducing, and manipulating arrays.

**JavaScript Features/Syntax: None mentioned**

The test cases do not use any special JavaScript features or syntax that would require specific knowledge of those features. The focus is on the performance comparison between three different approaches to implementing a similar algorithm using Lodash.

**Benchmark Approaches: Three approaches are compared**

1. **Lazy**: In this approach, the filtering and mapping operations are delayed until their values are actually needed. This means that the array is not fully processed in one step, but instead, it's processed incrementally as each element is used.
2. **Strict**: In this approach, all elements are processed immediately, and the entire array is fully evaluated before any results are returned.
3. **Lazy with one function**: A variation of the Lazy approach, where a single function is defined to handle both filtering and mapping operations.

**Pros and Cons of each approach**

* **Lazy**: Pros:
	+ Can be more efficient in terms of memory usage, as only the necessary elements are processed.
	+ Can be faster, since fewer computations are performed upfront.
* Cons:
	+ May require more complex code to handle the incremental processing.
	+ May lead to slower performance if not implemented correctly, due to overhead from delaying operations.
* **Strict**: Pros:
	+ Simple and straightforward implementation.
	+ Easy to understand and test.
* Cons:
	+ May use more memory, since the entire array is processed upfront.
	+ Can be slower, especially for large arrays.
* **Lazy with one function**: This approach tries to combine the benefits of Lazy and Strict approaches by using a single function that handles both filtering and mapping operations. However, it may still require careful implementation to achieve optimal performance.

**Other alternatives**

There are other ways to implement similar algorithms without using Lodash or these specific approaches:

* Using native JavaScript array methods (e.g., `filter()`, `map()`, `reduce()`).
* Implementing custom iteration and manipulation logic using loops.
* Using specialized libraries or frameworks that provide optimized implementations for common tasks.

Keep in mind that the choice of approach depends on the specific requirements, performance constraints, and personal preference.

Related benchmarks:

Test lodash v2 (version: 0)

Comparing performance of: Strict vs Lazy vs Lazy with one function

Created: 9 years ago by: Guest

Jump to the latest result

Strict

Lazy

Lazy with one function

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):