Benchmark: sample teasetsdf

Tests:

first
function getStatusClass(status) { switch (status) { case "Live": return 'green'; case "ComingSoon": return 'orange'; case "Beta": return 'blue'; default: return ''; } } getStatusClass("ComingSoon") getStatusClass("Live") getStatusClass("Beta")
second
const statusClass= { "Live": 'green', "ComingSoon": 'orange', "Beta": 'blue', } statusClass["ComingSoon"] statusClass["Live"] statusClass["Beta"]

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
first
second

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

**Benchmark Definition**

The benchmark definition is a JSON object that represents the code to be executed during the benchmarking process. There are two test cases defined:

1. `getStatusClass("ComingSoon")`
2. `statusClass["ComingSoon"]`

In the first test case, the code defines a function `getStatusClass` that takes a `status` parameter and returns a corresponding color string based on the `status`. The function is then called with three different statuses: "Live", "ComingSoon", and "Beta".

In the second test case, an object `statusClass` is defined with property values for each status. The code then accesses these properties using bracket notation (`statusClass["ComingSoon"]`, etc.).

**Options Compared**

The benchmark compares the execution time of two different approaches:

1. **Function Call**: The first test case uses a function call to access the color string.
2. **Property Access**: The second test case uses property access (bracket notation) to access the color string.

**Pros and Cons**

**Function Call:**

* Pros:
	+ Easier to understand and maintain, as it's a clear function definition.
	+ Can be more flexible if you need to add or modify logic in the future.
* Cons:
	+ May incur overhead due to function creation and lookup.

**Property Access:**

* Pros:
	+ Faster execution time, as it directly accesses the property value without creating an intermediate object.
	+ Can be more efficient for large datasets.
* Cons:
	+ Less readable, especially if the property names are complex or not immediately obvious.
	+ May require more expertise to understand and maintain.

**Library: None**

There is no explicit library used in these benchmark definitions. However, it's worth noting that modern JavaScript engines often use optimizations like inlining and caching, which can affect the performance of both approaches.

**Special JS Feature/ Syntax: None**

There are no special JavaScript features or syntax (e.g., async/await, generators) used in these benchmark definitions.

**Other Alternatives**

Other alternatives to compare could include:

1. Using an array instead of an object for property access.
2. Creating a nested object structure instead of using bracket notation.
3. Using a different data structure, such as a Map or Set, for storing the status-color mappings.

However, it's essential to note that these alternatives may not provide significant performance differences in this specific benchmark, and their impact would depend on the specific use case and implementation details.

The provided benchmark is designed to evaluate the performance difference between function call and property access in JavaScript. By comparing these two approaches, MeasureThat.net aims to help users understand the trade-offs involved in choosing one over the other depending on their specific requirements and constraints.

Related benchmarks:

sample teasetsdf (version: 0)

Comparing performance of: first vs second

Created: 3 years ago by: Guest

Jump to the latest result

first

second

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):