Benchmark: test array testszrogjpzriojpoj

Script Preparation code:

var obj = {countFoo: 0, countBar: 0, countLorem: 0, countIpsum: 1}

Tests:

case reduce
console.log(Object.values(obj).reduce((acc, count) => acc + count, 0) > 0)
case find
console.log(Object.values(obj).find((x) => x > 0))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
case reduce
case find

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36

Browser/OS: Chrome 119 on Linux

View result in a separate tab

Test name	Executions per second
case reduce	126952.3 Ops/sec
case find	128012.6 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and its components.

**Benchmark Definition**

The benchmark is defined using a JSON object that provides basic information about the test case. In this case, there are two test cases:

* `test array testszrogjpzriojpoj`
* `case reduce` and `case find`

The `Script Preparation Code` section contains the JavaScript code used to prepare the data for the test. Specifically, it defines an object `obj` with four properties: `countFoo`, `countBar`, `countLorem`, and `countIpsum`. The `countIpsum` property is initialized to 1.

**Test Cases**

There are two individual test cases:

* **case reduce**: This test case measures the performance of the `reduce()` method on an array. It logs a message to the console indicating whether the sum of all values in the `obj` object's properties is greater than 0.
* **case find**: This test case measures the performance of the `find()` method on an array. It logs a message to the console indicating whether there is at least one value in the `obj` object's properties that is greater than 0.

**Library and Special Features**

In both test cases, no specific libraries are used beyond the built-in JavaScript functionality. However, it's worth noting that the use of `Object.values()` and `Array.prototype.reduce()` or `Array.prototype.find()` might be considered using some standard library features (more on this later).

**Options Compared**

The two test cases compare the performance of:

* `reduce()`: This method reduces an array to a single value, accumulating a result that is returned by the final callback.
* `find()`: This method finds the first element in an array that satisfies a given condition.

**Pros and Cons**

* **reduce()**: Pros:
	+ Can be more efficient for large arrays since it only iterates over the elements once.
	+ Allows for flexible data processing, as the accumulator can be any value or expression.
Cons:
	+ Requires more code to implement, especially when dealing with complex logic.
* **find()**: Pros:
	+ Often faster than `reduce()` since it stops iterating as soon as a match is found.
	+ Easier to read and understand for simple use cases.

**Other Considerations**

* Both methods are relatively fast, but the difference in performance may not be noticeable in most scenarios. This benchmark might be more focused on testing the consistency of different browsers or devices rather than finding significant performance differences.
* The `obj` object is used as a test case to minimize overhead and isolate specific algorithmic optimizations.

**Alternatives**

In general, when working with arrays and performing aggregations like summing values or searching for elements, other methods might be considered:

* `forEach()`: Iterates over the array, allowing you to execute an action on each element. Not typically used for aggregation or search.
* `map()`, `filter()`, and `some()`: Provides alternative ways of processing arrays without reducing them to a single value.

However, for this specific benchmark, using built-in methods like `reduce()` and `find()` is likely sufficient, as they are optimized for performance and provide an easy-to-understand implementation.

Related benchmarks:

test array testszrogjpzriojpoj (version: 0)

Comparing performance of: case reduce vs case find

Created: 2 years ago by: Guest

Jump to the latest result

case reduce

case find

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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