Benchmark: shift vs no shift

Tests:

with
function twoNumberSum(array, targetSum) { let result = []; array.forEach( (element, idx) => { array.forEach((secondElement, secondIdx) => { if ((idx !== secondIdx) && (element + secondElement == targetSum)) { result = [element, secondElement]; } array.shift(); }) } ) return result; } twoNumberSum([3, 5, -4, 8, 11, 1, -1, 6],10)
without
function twoNumberSum(array, targetSum) { let result = []; array.forEach( (element, idx) => { array.forEach((secondElement, secondIdx) => { if ((idx !== secondIdx) && (element + secondElement == targetSum)) { result = [element, secondElement]; } }) } ) return result; } twoNumberSum([3, 5, -4, 8, 11, 1, -1, 6],10)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
with
without

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's dive into the provided benchmark and explain what's being tested, the options compared, their pros and cons, and other considerations.

**Benchmark Definition**

The provided JSON defines two test cases: `shift vs no shift`. The script preparation code is empty, which means that the JavaScript engine will have to create a new function at runtime. The HTML preparation code is also empty, implying that the benchmark doesn't require any specific HTML setup.

**Test Cases**

There are two individual test cases:

1. **`with`**: This test case uses the `shift()` method when iterating over the array. In JavaScript, `shift()` removes and returns the first element of an array.
2. **`without`**: This test case doesn't use the `shift()` method when iterating over the array.

**Options Compared**

The two options being compared are:

* Using `shift()` (option 1: `with`)
* Not using `shift()` (option 2: `without`)

**Pros and Cons of Each Approach**

**Using `shift()` (`with`):**

Pros:

* Can be faster for certain use cases, as it removes elements from the array in a single operation.
* May reduce memory usage by avoiding the need to create intermediate arrays.

Cons:

* Can lead to unexpected behavior or errors if not used carefully (e.g., modifying the original array).
* May cause performance issues if the array is large and `shift()` is called frequently.

**Not using `shift()` (`without`):**

Pros:

* Avoids potential pitfalls associated with using `shift()`, such as modifying the original array.
* Can be more predictable and easier to reason about, especially for developers who are unfamiliar with `shift()`.

Cons:

* May lead to slower performance due to the need to create intermediate arrays or use other workarounds (e.g., iterating over a copy of the array).

**Other Considerations**

When running benchmarks like this one, it's essential to consider factors such as:

* **Cache locality**: The order in which elements are accessed can impact performance. Using `shift()` may disrupt cache locality, leading to slower performance.
* **Array creation overhead**: Creating new arrays or modifying existing ones can introduce additional overhead.
* **JavaScript engine optimizations**: Different JavaScript engines (e.g., V8, SpiderMonkey) may optimize for different scenarios, which can affect benchmark results.

**Library and Special JS Feature**

In this case, there are no libraries used in the provided test cases. Additionally, there are no special JavaScript features or syntax being tested; only basic iteration and array manipulation.

**Alternatives**

Other alternatives that could be explored in a benchmark like this one include:

* Using `splice()` instead of `shift()`
* Iterating over arrays using `for...in` or other methods
* Using `forEach()` with an iterator or callback function
* Comparing performance with different array sizes and configurations

Related benchmarks:

shift vs no shift (version: 0)

Comparing performance of: with vs without

Created: 5 years ago by: Guest

Jump to the latest result

with

without

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):