Benchmark: clamp with min max vs ternary multiple

Tests:

min max below
Math.min(Math.max(150, 10), 100);
ternary below
10 < 100 ? 100 : (10 > 150 ? 150 : 10)
min max above
Math.min(Math.max(150, 200), 100);
ternary above
200 < 100 ? 100 : (200 > 150 ? 150 : 200)
min max within
Math.min(Math.max(150, 125), 100);
ternary within
125 < 100 ? 100 : (125 > 150 ? 150 : 125)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
min max below
ternary below
min max above
ternary above
min max within
ternary within

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 llama3.1:latest, generated one year ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**The Benchmark: Clamp Function**

The benchmark tests two different approaches to implementing the clamp function, which is used to limit a value within a certain range. The clamp function takes three arguments: `min`, `max`, and `value`. It returns `value` if it's within the range `[min, max]`; otherwise, it returns the closest bound (`min` or `max`) to `value`.

**Test Cases**

The benchmark has six test cases:

1. **Min/Max Below**: Clamp a value below the min/max range.
2. **Ternary Below**: Use a ternary operator to clamp a value below the min/max range.
3. **Min/Max Above**: Clamp a value above the min/max range.
4. **Ternary Above**: Use a ternary operator to clamp a value above the min/max range.
5. **Min/Max Within**: Clamp a value within the min/max range.
6. **Ternary Within**: Use a ternary operator to clamp a value within the min/max range.

**Code Analysis**

The two approaches being compared are:

1. **Math.min/Math.max approach**: This approach uses the built-in `Math.min` and `Math.max` functions to clamp the value. For example: `Math.min(Math.max(150, 10), 100);`.
2. **Ternary operator approach**: This approach uses a ternary operator to clamp the value. For example: `10 < 100 ? 100 : (10 > 150 ? 150 : 10)`.

**Pros and Cons**

Here are some pros and cons of each approach:

1. **Math.min/Math.max approach**:
	* Pros:
		+ More readable and maintainable code.
		+ Easier to understand the intent behind the clamp function.
	* Cons:
		+ Slightly slower than ternary operator approach due to the overhead of two separate calls to `Math.min` and `Math.max`.
2. **Ternary operator approach**:
	* Pros:
		+ Faster execution since it's a single expression that gets evaluated.
		+ Can be more concise in certain situations.
	* Cons:
		+ Less readable and maintainable code, as the intent behind the clamp function is harder to understand.

**Other Considerations**

When choosing between these two approaches, consider the following:

1. **Code readability**: If you prioritize code readability and maintainability, use the `Math.min/Math.max` approach.
2. **Performance**: If you need maximum performance, use the ternary operator approach.
3. **Complexity**: If the clamp function is part of a complex logic that needs to be executed quickly, consider using the ternary operator approach.

**Alternative Approaches**

There are other ways to implement the clamp function, such as:

1. **Using the `Math.clamp` function** (if available): Some modern browsers have a built-in `Math.clamp` function that can be used for clamping values.
2. **Implementing your own clamp function**: If you need a custom clamp function with additional logic or features, consider implementing it yourself.

I hope this explanation helps!

Related benchmarks:

clamp with min max vs ternary multiple (version: 0)

Comparing performance of: min max below vs ternary below vs min max above vs ternary above vs min max within vs ternary within

Created: 2 years ago by: Guest

Jump to the latest result

min max below

ternary below

min max above

ternary above

min max within

ternary within

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.1:latest, generated one year ago):