Benchmark: Object.create([array])

Script Preparation code:

var base = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20];
var stagedEmpty = Object.create(base);
var stagedFilled = Object.create(base);
stagedFilled[1] = 101;
stagedFilled[2] = 102;
stagedFilled[10] = 110;
stagedFilled[12] = 112;
stagedFilled[15] = 115;

Tests:

Read: base
base[1] + base[2] + base[10] + base[12] + base[15]
Read: stagedEmpty
stagedEmpty[1] + stagedEmpty[2] + stagedEmpty[10] + stagedEmpty[12] + stagedEmpty[15]
Read: stagedFilled
stagedFilled[1] + stagedFilled[2] + stagedFilled[10] + stagedFilled[12] + stagedFilled[15]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Read: base
Read: stagedEmpty
Read: stagedFilled

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 dive into the provided benchmark definition and test cases.

**Benchmark Definition**
The benchmark measures the performance of accessing elements in an array using `Object.create()` and array indexing. The script preparation code creates two arrays, `base` and its copies (`stagedEmpty` and `stagedFilled`), with some values modified. The benchmark definition is a string that represents a JavaScript expression that calculates the sum of specific elements in these arrays.

**Options Compared**
The options compared are:

1. Accessing elements in the original array (`base`) using array indexing.
2. Accessing elements in the `stagedEmpty` array, which is an empty object created from the `base` array.
3. Accessing elements in the `stagedFilled` array, which is a modified copy of the `base` array.

**Pros and Cons of Each Approach**

1. **Original Array (base)**:
	* Pros: Direct access to the original data.
	* Cons: May involve slower lookup or indexing if the array has a large number of elements or is not in a contiguous block.
2. **stagedEmpty Array**:
	* Pros: Can be optimized for faster lookups, as objects are typically more efficient than arrays for storing key-value pairs.
	* Cons: The `Object.create()` method may introduce overhead due to the creation of an object and its property lookup.
3. **stagedFilled Array**:
	* Pros: Combines the benefits of direct access (like `base`) with the potential optimization of the `stagedEmpty` approach.
	* Cons: May still involve slower lookups compared to accessing elements directly in `base`.

**Library Used**
The benchmark uses the `Object.create()` method, which is a part of the JavaScript standard library. It creates a new object and sets the provided array as its prototype. The purpose of this method is to allow for creating objects with custom inheritance or initialization.

**Special JS Feature/Syntax**
There are no special features or syntax used in this benchmark that would be uncommon or proprietary. However, it's worth noting that some JavaScript engines may optimize certain aspects of the `Object.create()` method or array indexing operations.

**Other Alternatives**

If you were to rewrite this benchmark, you could consider alternative approaches:

1. **Using a library**: You could use libraries like `lodash` (e.g., `lodash.get()`) or `underscore` (e.g., `_`) to optimize the lookups in the arrays.
2. **Iterative approach**: Instead of using array indexing, you could iterate over the elements in the array and calculate their sum manually.
3. **Cache-based approach**: You could create a cache for the accessed elements and reuse them instead of recalculating their values.

Keep in mind that these alternatives may change the focus or intent of the benchmark, so it's essential to carefully consider which options best align with your goals.

Related benchmarks:

Object.create([array]) (version: 1)

Comparing performance of: Read: base vs Read: stagedEmpty vs Read: stagedFilled

Created: 5 years ago by: Registered User

Jump to the latest result

Read: base

Read: stagedEmpty

Read: stagedFilled

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):