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Sort vs if vs ternary operator (in functions)
(version: 0)
Comparing performance of:
Array-sort vs ternary vs if-based
Created:
4 years ago
by:
Guest
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Script Preparation code:
var number = Math.random() * 1000; function arrayPickCentre(val, min, max) { return [val, max, min].sort((a,b) => a > b)[1]; } function mathClampCustom(val, min, max) { return val < min ? min : (val > max ? max : val); } function ifPicker(val, min, max) { if (val < min) { return min; } else if (val > max) { return max; } else { return val; } }
Tests:
Array-sort
arrayPickCentre(number, 250, 750);
ternary
mathClampCustom(number, 250, 750);
if-based
ifPicker(number, 250, 750)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Array-sort
ternary
if-based
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Overview of the Benchmark** The provided JSON represents a JavaScript benchmark test case on MeasureThat.net. The goal is to compare the performance of three different approaches for clamping a value within a specified range: `arrayPickCentre`, `mathClampCustom`, and `ifPicker`. **Approaches Compared** 1. **Array-sort**: This approach uses the built-in `sort` function in JavaScript arrays to determine the middle index of the range. 2. **Ternary operator**: This approach uses a ternary operator (`? :`) to calculate the clamped value based on the input value and range limits. 3. **if-based**: This approach uses an if-else statement to calculate the clamped value based on the input value and range limits. **Pros and Cons of Each Approach** 1. **Array-sort**: * Pros: Simple, efficient, and scalable. * Cons: May be slower due to overhead of sorting algorithm, especially for large ranges. 2. **Ternary operator**: * Pros: Fast, lightweight, and easy to understand. * Cons: May lead to less readable code if not properly optimized, and can cause issues with performance if the ternary chain is too deep. 3. **if-based**: * Pros: Easy to read and understand, flexible for more complex clamping logic. * Cons: Can be slower due to branch prediction overhead, especially in cases where the condition is difficult to predict. **Library Used** None of the approaches rely on external libraries. **Special JavaScript Feature or Syntax** The `sort` function used in the `arrayPickCentre` approach relies on JavaScript's built-in sorting algorithm. No special JavaScript features or syntax are required for this approach. **Other Considerations** When designing and optimizing performance-critical code, it's essential to consider factors like: * Branch prediction overhead * Cache locality * Memory allocation and deallocation * Algorithmic complexity In the case of this benchmark, the choice of approach may also depend on the specific requirements of the application or domain being served. **Alternatives** Other approaches for clamping values within a range could include: 1. Using bitwise operations (e.g., shifting and masking) to calculate the middle index. 2. Utilizing hardware instructions (if available) that can perform arithmetic and conditional operations in parallel. 3. Implementing a custom algorithm specifically optimized for the required use case. However, these alternatives may not be as well-suited or widely supported as the approaches used here.
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