Benchmark: max-or-flat-or-apply

Tests:

max
const series = [ { x: 'foo', y: [ 123, 234 ] }, { x: 'bar', y: [ 234, 123, 345 ] } ]; Math.max(...series.map(({ y }) => Math.max(...y)));
flat
const series = [ { x: 'foo', y: [ 123, 234 ] }, { x: 'bar', y: [ 234, 123, 345 ] } ]; Math.max(...series.map(({ y }) => y).flat());
apply
const series = [ { x: 'foo', y: [ 123, 234 ] }, { x: 'bar', y: [ 234, 123, 345 ] } ]; Math.max.apply( null, series.map(({ y }) => Math.max.apply(null, y)) );

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
max
flat
apply

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 test cases and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The `benchmark definition` is an empty object with no properties specified, which means that the script preparation code and HTML preparation code are not required to be provided. This is a common approach used in microbenchmarks where the focus is solely on measuring the performance of a specific JavaScript operation or method.

**Test Cases**

There are three test cases:

1. **max**
	* Benchmark Definition: `Math.max(...series.map(({ y }) => Math.max(...y)))`
	* This test case measures the performance of using the spread operator (`...`) to find the maximum value in an array.
2. **flat**
	* Benchmark Definition: `Math.max(...series.map(({ y }) => y).flat())`
	* This test case measures the performance of using the `flat()` method to flatten an array before finding the maximum value.
3. **apply**
	* Benchmark Definition: `Math.max.apply(null, series.map(({ y }) => Math.max.apply(null, y)))`
	* This test case measures the performance of using the `apply()` method to find the maximum value in an array.

**Comparison**

The three test cases compare different approaches to finding the maximum value in an array:

* **max**: Uses the spread operator (`...`) to extract sub-arrays from the `y` array and then finds the maximum value.
* **flat**: Uses the `flat()` method to flatten the entire `y` array before finding the maximum value.
* **apply**: Uses the `apply()` method to apply the `Math.max()` function to each element in the `y` array.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **max**:
	* Pros: Simple, efficient, and easy to read.
	* Cons: May not be as efficient for large arrays due to the overhead of using spread operator (`...`) and multiple `Math.max()` calls.
2. **flat**:
	* Pros: Can be more efficient than `max` for large arrays since it avoids the overhead of using spread operator (`...`) and multiple `Math.max()` calls.
	* Cons: May introduce additional overhead due to the use of `flat()`.
3. **apply**:
	* Pros: Can be more efficient than `max` and `flat` for very large arrays since it applies a single function to each element using `apply()`, which can avoid boxing/unboxing overhead.
	* Cons: May not be as readable or maintainable due to the use of `apply()`.

**Library**

None of the test cases explicitly use any JavaScript libraries. The focus is solely on measuring the performance of built-in JavaScript methods and operations.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntax used in these test cases, such as async/await, Promises, or ES6+ features like `const` declarations, arrow functions, or template literals.

Related benchmarks:

max-or-flat-or-apply (version: 0)

Comparing performance of: max vs flat vs apply

Created: 5 years ago by: Guest

Jump to the latest result

max

flat

apply

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):