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TEST SUM OF DIGITS
(version: 0)
Comparing performance of:
1 vs 2
Created:
5 years ago
by:
Guest
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Tests:
1
let x = 0; for (let i = 1; i <= 328; i++) { const a = (''+i).split('').reduce((res, y) => (+res) + (+y), 0); x += a; }
2
let x = 0; for (let i = 1; i <= 328; i++) { const a = (i - 1) % 9 + 1; x += a; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
1
2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is an essential task for any web developer or engineer. Let's break down the provided benchmark and explain what's being tested. **Benchmark Overview** The provided benchmark consists of two test cases, each with its own script preparation code. The scripts are designed to calculate the sum of digits for a specific range of numbers. In Test Case 1, the script iterates from 1 to 328, converts each number to an array of digits using `split('')`, and then reduces the array to a single value representing the sum of its elements. In Test Case 2, the script calculates the remainder of each number modulo 9 (plus 1) and adds it to a running total. **Options Compared** The benchmark is comparing two different approaches: 1. **Test Case 1**: This approach uses `split('')` to convert numbers to an array of digits and then reduces the array using `reduce()`. This method can be considered " manual" or " explicit", as it requires explicit conversion and processing of each digit. 2. **Test Case 2**: This approach calculates the remainder of each number modulo 9 (plus 1) directly, without explicit conversion to an array of digits. This method is more concise but may require less intuitive understanding for some developers. **Pros and Cons** **Test Case 1:** Pros: * More explicit and easy to understand for many developers * Allows for better control over the processing of each digit Cons: * May be slower due to explicit conversion and reduction steps * Requires more memory allocation and garbage collection overhead **Test Case 2:** Pros: * Faster execution, as it avoids unnecessary conversions and reductions * More concise code that may be preferred by some developers for its simplicity Cons: * Less intuitive understanding of the calculation process * May require additional mental math or arithmetic operations to comprehend the algorithm **Other Considerations** In general, when working with JavaScript performance benchmarks, it's essential to consider factors such as: * Memory allocation and garbage collection overhead * Browser rendering and layout requirements (e.g., DOM manipulation) * CPU architecture and instruction set (e.g., floating-point vs. integer operations) **Libraries and Frameworks** There are several libraries and frameworks that provide efficient JavaScript algorithms for numerical computations, including: * **NumJS**: A library for numerical computing in JavaScript, providing optimized implementations of various mathematical functions. * **MathJS**: A library for symbolic and numerical mathematics in JavaScript, offering an API for working with mathematical expressions. These libraries can be used to accelerate performance-critical parts of your code or provide a foundation for more complex calculations. **Special JavaScript Features** The benchmark does not explicitly use any special JavaScript features such as `async/await`, `Promises`, or specific web APIs (e.g., WebGL, Web Workers). However, the tests do rely on the `for` loop and array operations, which are standard JavaScript constructs. Other alternatives to MeasureThat.net include: * **Benchmark.js**: A lightweight benchmarking library for Node.js and browsers. * **js-benchmark**: A comprehensive benchmarking suite for JavaScript performance testing. * **WebPageTest**: A widely used tool for web page performance analysis, including JavaScript benchmarking. Keep in mind that these alternatives may offer additional features, options, or customization possibilities not available on MeasureThat.net.
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