Benchmark: Expermiments with arrays

Script Preparation code:


var arr = [];
for(let arrLoop=0; arrLoop<10000; arrLoop++)
  arr[arrLoop] = arrLoop;

Tests:

Shift then slice then concat
var eles = []; eles.push(arr.shift()); eles.push(arr.shift()); eles.push(arr.shift()); eles.push(arr.shift()); eles.push(arr.shift()); arr = arr.slice(5).concat(eles);
Looped push and shift
for(var loop=0; loop < 5; loop++) { arr.push(arr.shift()); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Shift then slice then concat
Looped push and shift

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 dive into explaining the provided benchmark.

**Benchmark Definition**

The benchmark definition is represented by a JSON object that contains the following information:

* `Name`: The name of the benchmark, which is "Experiments with arrays".
* `Description`: An empty string, indicating that there is no description for this benchmark.
* `Script Preparation Code`: A JavaScript code snippet that initializes an array `arr` and populates it with numbers from 0 to 9999 using a for loop. This code serves as the starting point for each test case.
* `Html Preparation Code`: An empty string, indicating that there is no HTML preparation code.

**Options Compared**

The benchmark compares two different approaches:

1. **Shift then Slice then Concat**: This approach involves shifting elements from the array `arr` using the `shift()` method, pushing them onto another array `eles`, and then concatenating `eles` with a slice of `arr`. The resulting array is assigned back to `arr`.
2. **Looped Push and Shift**: This approach involves looping 5 times, pushing elements from `arr` onto itself using the `push()` method, and shifting elements from `arr` using the `shift()` method.

**Pros and Cons**

**Shift then Slice then Concat:**

Pros:

* Efficient use of memory, as it only creates a new array for `eles`.
* Fast iteration over the array using `shift()`

Cons:

* May involve repeated calls to `slice()`, which can be costly in terms of performance.
* Requires careful handling of edge cases (e.g., empty arrays).

**Looped Push and Shift:**

Pros:

* Simple and easy to understand code.
* Does not require creating a new array for the loop.

Cons:

* Inefficient use of memory, as it creates multiple copies of `arr` during the loop.
* Slower iteration over the array due to repeated calls to `push()` and `shift()`.

**Other Considerations**

Both approaches have their trade-offs in terms of performance and code complexity. The Shift then Slice then Concat approach is generally faster but requires more careful handling of edge cases. The Looped Push and Shift approach is simpler but less efficient.

**Library Used (if any)**

None.

**Special JS Feature or Syntax (if any)**

The benchmark uses the `shift()` method, which is a built-in JavaScript array method that removes and returns the last element from an array. This is a standard JavaScript feature and does not require any special knowledge.

Now, let's look at the individual test cases:

1. **Shift then Slice then Concat**: This approach involves shifting elements from `arr` using `shift()`, pushing them onto another array `eles`, and then concatenating `eles` with a slice of `arr`. The resulting array is assigned back to `arr`.
2. **Looped Push and Shift**: This approach involves looping 5 times, pushing elements from `arr` onto itself using `push()`, and shifting elements from `arr` using `shift()`.

As mentioned earlier, both approaches have their trade-offs in terms of performance and code complexity. The benchmark result shows that the Shift then Slice then Concat approach is generally faster than the Looped Push and Shift approach.

Related benchmarks:

Expermiments with arrays (version: 1)

Comparing performance of: Shift then slice then concat vs Looped push and shift

Created: 4 years ago by: Registered User

Jump to the latest result

Shift then slice then concat

Looped push and 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):