Benchmark: colorizeCell() test 2

Script Preparation code:

function colorizeCell(data) {
	if (data) {
		// console.log(data);
		if (data == "Plus") {
			return '<td class="table-danger text-center">Plus model only</td>';
		} else {
			return '<td class="table-danger text-center">&#10003;</td>';
		}
	} else {
		return '<td class="table-danger text-center">&cross;</td>';
	}
}

function cc(d) {
	return `<td class="table-${d ? 'success' : 'danger'} text-center">${d ? d === 'Plus' ? 'Plus model only' : '&#10003;' : '&cross;'}</td>`;
}

function buildTableRow(data) {
	const rowType = data ? 'success' : 'danger';
	const content = data === 'Plus' ? 'Plus model only' : '&#10003;';
	
	return `<td class="table-${rowType} text-center">${data ? content : '&cross;'}</td>`;
}

// ---

var testData = [ null, '1', '2', '3', 'Plus' ];
var testData2 = [];
var i;

// 5000 items
for (i=0; i<1000; i++)
{
    testData2 = testData2.concat(testData);
}

Tests:

colorizeCell()
for (i of testData2) { colorizeCell(i); }
cc()
for (i of testData2) { cc(i); }
buildTableRow()
for (i of testData2) { buildTableRow(i); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
colorizeCell()
cc()
buildTableRow()

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 its test cases.

**Benchmark Definition JSON**

The provided `benchmark definition` JSON represents the JavaScript function that will be executed in each test case. In this case, there are three functions:

1. `colorizeCell(data)`: This function takes a single argument `data` and returns an HTML string representing a table cell.
2. `cc(d)`: This function is similar to `colorizeCell(data)` but uses a different syntax.
3. `buildTableRow(data)`: This function also generates an HTML string for a table row, but it seems to be more focused on building the structure of the row rather than rendering its content.

**Options Compared**

In each test case, two options are being compared:

* Using `colorizeCell(data)` vs. using `cc(d)`
* Using `buildTableRow(data)` vs. using the inline HTML string syntax (i.e., `<td class="table-${data ? 'success' : 'danger'} text-center">${data ? content : '&cross;'}</td>`)

**Pros and Cons of Each Approach**

Here are some general pros and cons of each approach:

* **Using `colorizeCell(data)` vs. using `cc(d)`**:
	+ Using `colorizeCell(data)`: Pros - more explicit, readable syntax; Cons - might be slower due to the need for function calls.
	+ Using `cc(d)`: Pros - concise and efficient syntax; Cons - less readable for those unfamiliar with this specific syntax.
* **Using `buildTableRow(data)` vs. inline HTML string syntax**:
	+ Using `buildTableRow(data)`: Pros - separates concerns, easier to understand the logic behind generating the table row; Cons - might be slower due to the need for function calls and potential overhead of creating a new scope.
	+ Inline HTML string syntax: Pros - concise and efficient; Cons - less readable, harder to maintain, and may lead to errors if not used carefully.

**Library Usage**

In this benchmark, there is no explicit mention of any JavaScript libraries being used. However, it's worth noting that the `cc(d)` function seems to be using some kind of shorthand syntax or a library-specific feature, but without more context, it's difficult to determine what exactly is happening under the hood.

**Special JS Features/Syntax**

The benchmark uses a few special features and syntax:

* The `for...of` loop: This is a relatively modern JavaScript feature that allows iterating over arrays using an iterator-like syntax.
* The use of template literals (e.g., `${data ? content : '&cross;'}`): This is a shorthand way to embed expressions inside strings.

**Other Alternatives**

If you were to implement this benchmark yourself, you might consider the following alternatives:

* Use a different data structure for `testData2`, such as an array of arrays or a single array with more complex data.
* Add additional test cases that exercise other parts of the functions, such as error handling or performance-critical sections.
* Consider using a profiling tool to analyze the actual execution time and memory usage of each function.

Keep in mind that this is just a starting point, and you may want to experiment with different approaches and optimizations depending on your specific use case.

Related benchmarks:

colorizeCell() test 2 (version: 1)

Comparing performance of: colorizeCell() vs cc() vs buildTableRow()

Created: 6 years ago by: Registered User

Jump to the latest result

colorizeCell()

cc()

buildTableRow()

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):