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math.abs
(version: 1)
checking math
Comparing performance of:
math.abs vs ternary logical
Created:
10 months ago
by:
Guest
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HTML Preparation code:
<!--your preparation HTML code goes here-->
Script Preparation code:
num = -2.2
Tests:
math.abs
Math.abs(num)
ternary logical
num < 0 ? num *= -1 : 0 ;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
math.abs
ternary logical
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/145.0.0.0 Safari/537.36 Edg/145.0.0.0
Browser/OS:
Chrome 145 on Windows
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Test name
Executions per second
math.abs
84126896.0 Ops/sec
ternary logical
68384544.0 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated 10 months ago):
The provided benchmark tests the performance of two different methods for calculating the absolute value of a number in JavaScript: using the built-in `Math.abs()` function and implementing a ternary operator approach. Here’s a detailed breakdown of the benchmark, the options being compared, their pros and cons, and other relevant considerations. ### Benchmark Overview 1. **Test Name: `math.abs`** - **Benchmark Definition:** `Math.abs(num)` - **Description:** This method calls the built-in JavaScript function `Math.abs()`, which computes the absolute value of the number `num`. 2. **Test Name: `ternary logical`** - **Benchmark Definition:** `num < 0 ? num *= -1 : 0;` - **Description:** This method uses a ternary operator (a shorthand for `if-else`) to check if `num` is less than zero. If true, it multiplies `num` by -1 to make it positive; otherwise, it does nothing (returns 0). ### Comparison of Approaches #### 1. **Using `Math.abs(num)`** - **Pros:** - **Simplicity:** The function is straightforward and designed specifically for this purpose, making the intention of the code clear. - **Performance:** Built-in functions in JavaScript are often optimized for performance in the JavaScript engine, typically resulting in better execution times. - **Readability:** Using standard library functions improves code maintainability, as other developers will be familiar with them. - **Cons:** - **Overhead:** Although negligible in most cases, there might be a slight overhead when calling a function compared to direct arithmetic operations. #### 2. **Using a Ternary Operator for Absolute Value** - **Pros:** - **Control:** It allows for fine-tuned control over how the absolute value is determined, though for absolute values, this might not be necessary. - **Cons:** - **Complexity:** The logic can be less readable, particularly for those unfamiliar with the ternary operator. It's not immediately clear that this is meant to compute the absolute value. - **Performance:** This method may be less efficient than calling a well-optimized native function like `Math.abs()`. The use of a ternary operator introduces a conditional check that may incur a performance penalty. - **Edge Cases:** The ternary operator returns `0` if the number is non-negative, which may not be the desired outcome; it could be misleading in certain use cases if not carefully considered. ### Benchmark Results According to the benchmark results: - `Math.abs(num)` executes at a rate of **364,508,000 executions per second**. - The ternary operator approach executes at a rate of **86,645,928 executions per second**. ### Conclusions and Considerations - **Use Cases:** While the ternary operator approach demonstrates how to implement absolute value calculations, it’s generally recommended to use `Math.abs()` in production code for the sake of performance and readability. - **Alternatives:** Other alternatives for calculating absolute values could include using the `Math.max(num, -num)` strategy, or using the `Math.sign()` function combined with multiplication, but these are also likely to be less efficient than `Math.abs()`. In summary, for most scenarios, utilizing JavaScript’s built-in `Math.abs()` function is the preferable method due to its performance optimization and simplicity, as demonstrated in this benchmark.
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