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testpow
(version: 0)
Comparing performance of:
no vs with
Created:
7 years ago
by:
Guest
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Tests:
no
function pow1(x, y) { return x**y; } var b = pow1(2, 20)
with
function pow (x, y) { var q = parseInt((y / 2), 10); if (y % 2 !== 0) { return (x ** q) * (x ** q) * x; } return (x ** q) * (x ** q); } var a = pow(2, 20)
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Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
no
with
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON data to understand what is being tested in this JavaScript microbenchmark. **Benchmark Definition** The benchmark definition is a simple JavaScript function that calculates the power of a number. There are two versions: 1. `pow1(x, y)`: This version uses the standard exponentiation operator (`x**y`). 2. `pow (x, y)`: This version is a custom implementation that reduces the exponent by half in each iteration and multiplies the result by the square of the base number when the exponent is odd. **Options Compared** The two versions of the power function are compared to determine which one performs better in terms of execution speed. The options being compared are: * Using standard exponentiation (`x**y`) * Custom implementation with iterative reduction and multiplication (`(x ** q) * (x ** q) * x`) **Pros and Cons** 1. **Standard Exponentiation (`x**y`)**: * Pros: Simple, efficient, and widely supported. * Cons: May not be as fast for very large exponents due to the overhead of repeated multiplications. 2. **Custom Implementation (`(x ** q) * (x ** q) * x`)**: * Pros: Can potentially outperform standard exponentiation for very large exponents, as it reduces the number of multiplications required. * Cons: More complex and may have higher overhead due to repeated calculations. **Library and Special JS Features** There is no explicit library used in these benchmark definitions. However, the `pow` function implementation uses a feature called "short-circuit evaluation" (also known as "early returns") to optimize performance by shortening the execution path when the exponent is even. **Other Considerations** * The benchmark results are reported in executions per second (`ExecutionsPerSecond`). This metric measures how many times each function can execute in one second. * The test cases are run on a Chrome 73 browser on a Windows desktop platform. Other browsers, platforms, and versions may yield different results. **Alternatives** If you wanted to write your own benchmarking tool or script to compare the performance of these two power functions, you could consider using tools like: 1. Node.js built-in `process` module for timing and measuring execution speed. 2. A lightweight JavaScript testing framework like Jest or Mocha. 3. A custom scripting language or library specifically designed for benchmarking, such as Benchmark.js. Keep in mind that the specific implementation details may vary depending on your chosen approach and requirements.
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