Benchmark: Temp11111111111111111111111111111111111111111111111111111115

Script Preparation code:

var list = [];
for (var i = 0; i < 1000 * 10; i++) {
  list.push(i);
}

Tests:

slice
list.splice(0, 0, 100);
splice
list.splice(100, 0, 100);
shift
list.splice(9000, 0, 100);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
slice
splice
shift

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 break down the provided benchmark and its different components.

**Benchmark Definition JSON**

The benchmark definition is a JSON object that contains information about the test case. It has three main properties:

* `Name`: a unique identifier for the benchmark
* `Description`: an optional string describing the benchmark (which is empty in this case)
* `Script Preparation Code` and `Html Preparation Code`: these are two separate code snippets that are executed before running the actual test.

In this case, the script preparation code is a simple JavaScript snippet that initializes an array called `list` with 10,000 elements. The purpose of this code is to create a large dataset that can be used for testing.

**Individual Test Cases**

There are three individual test cases:

1. **"slice"`: This test case measures the performance of the `splice(0, 0, 100)` method, which removes an element from the beginning of the array.
2. **"splice"`: This test case measures the performance of the `splice(100, 0, 100)` method, which inserts a new element at index 100 in the array.
3. **"shift"`: This test case measures the performance of the `splice(9000, 0, 100)` method, which shifts elements to the left by inserting an element at index 9000.

**Options Compared**

In this benchmark, three different options are compared:

* Splicing from the beginning of the array (`slice`)
* Splicing at a specific index (`splice`)
* Shifting elements to the left (`shift`)

These options have different performance characteristics, which is why they're being measured in separate test cases.

**Pros and Cons**

Here's a brief summary of the pros and cons of each approach:

* **Splice from beginning**: This method can be faster for small arrays because it only requires a single operation to remove an element. However, as the array grows larger, this method becomes slower due to the overhead of inserting elements at the beginning.
* **Splicing at specific index**: This method is generally faster than splicing from the beginning because it avoids the overhead of inserting elements at the beginning. However, it still requires a single operation to insert an element, which can be slower than other methods for very large arrays.
* **Shifting elements**: Shifting elements to the left can be faster than splicing because it only requires updating indices in the array. However, this method may have higher overhead due to the need to update indices.

**Library**

There is no specific library being used in these test cases. The benchmark is primarily testing the performance of JavaScript's built-in `splice` and `shift` methods.

**Special JS Features or Syntax**

None of the test cases use any special JavaScript features or syntax, such as async/await, promises, or closures.

Related benchmarks:

Temp11111111111111111111111111111111111111111111111111111115 (version: 0)

Comparing performance of: slice vs splice vs shift

Created: 5 years ago by: Guest

Jump to the latest result

slice

splice

shift

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):