Benchmark: Kolbey's tests - MeasureThat.net

HTML Preparation code:

<script src="https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js"></script>

Script Preparation code:

var o = {c:3,d:4}

Tests:

_.unset
_.set(o, 'a') _.set(o, 'b')
delete
o.a = 1; o.b = 2;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
_.unset
delete

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what is being tested.

**Overview**

MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided JSON represents a benchmark created by Kolbey, which consists of two test cases: `_.unset` (using Lodash) and `delete`.

**Benchmark Definition**

The benchmark definition is a JavaScript code snippet that defines the test cases:

```json
"Script Preparation Code": "var o = {c:3,d:4}",
"Html Preparation Code": "<script src=\"https://cdn.jsdelivr.net/npm/lodash@4.17.4/lodash.min.js\"></script>"
```

The `Script Preparation Code` sets up an object `o` with two properties: `c` and `d`. The `Html Preparation Code` includes a reference to the Lodash library, which is used in one of the test cases.

**Individual Test Cases**

There are two test cases:

1. **_.unset**
```json
"Benchmark Definition": "_.set(o, 'a')\r\n_.set(o, 'b')"
```

This test case uses the `_.set` function from Lodash to set two properties on the object `o`. The benchmark measures the execution time of this operation.

2. **delete**
```json
"Benchmark Definition": "o.a = 1;\r\no.b = 2;"
```

This test case simply sets two properties on the object `o` using the dot notation (`o.a` and `o.b`). The benchmark measures the execution time of this operation.

**Options Compared**

In the context of this benchmark, there are only two options being compared:

1. **_.set vs delete**: The first test case uses Lodash's `_set` function to set properties on an object, while the second test case uses the dot notation (`.`) to set properties.
2. **Lodash library**: The `_.set` function is part of the Lodash library, which is included in the benchmark.

**Pros and Cons**

1. **_.set vs delete**:
	* `.set` (Lodash):
		+ Pros: provides a more concise way to set multiple properties on an object.
		+ Cons: adds extra overhead due to the function call and the need for Lodash library.
	* `delete`:
		+ Pros: simple and lightweight, does not require any additional libraries.
		+ Cons: less concise than `.set`, requires more code to set multiple properties.
2. **Lodash library**:
	* Pros: provides a wide range of utility functions for common tasks, such as string manipulation and array operations.
	* Cons: adds extra overhead due to the need for an external library.

**Other Considerations**

1. **Browser-specific optimizations**: The benchmark measures execution time on specific browsers (Chrome 66) and platforms (Desktop), which may not be representative of all use cases.
2. **Object initialization**: The benchmark initializes the object `o` with properties before running the tests, which may affect the results.

**Alternatives**

If you wanted to create a similar benchmark without using Lodash, you could:

1. Define a custom `_set` function that uses dot notation or bracket notation (`[key]`) to set properties.
2. Use a different library or utility functions for common tasks.
3. Measure execution time on different browsers or platforms.

Keep in mind that creating a comparable benchmark would require careful consideration of the options, pros, and cons, as well as the specific requirements and constraints of your use case.

Related benchmarks:

Kolbey's tests (version: 0)

Comparing performance of: _.unset vs delete

Created: 7 years ago by: Guest

Jump to the latest result

_.unset

delete

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):