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Triangle Benchmark
(version: 0)
Comparing performance of:
Ifan vs Ponok vs Panyang
Created:
5 years ago
by:
Guest
Jump to the latest result
Tests:
Ifan
let num = 5 let incrementHelper = 1 for (let i=1; i<=num; i++) { let tampung = '' for(let j=1; j<=(num-i); j++) { tampung += ' ' } for (let j=1; j<=incrementHelper; j++) { // tampung += j if (j % 2 === 1) { tampung += 'x' } else { tampung += 'o' } } console.log(tampung); incrementHelper += 2 }
Ponok
let x = 5 for (let i=0; i < x; i++){ console.log( '_'.repeat(x - (i + 1)) + Array.from( {length: i * 2 + 1}, (n, idx) => ['x', 'o'][idx % 2] ).join("") ) }
Panyang
let x = 5 for (let i=0; i < x; i++){ let line = '' for (let j=1; j <=x+i; j++){ if (x - (i + 1) >= j) { line += '_' } else if (line[line.length - 1] == 'x'){ line += 'o' } else{ line += 'x' } } console.log(line) }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Ifan
Ponok
Panyang
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript code is crucial in understanding how different browsers, devices, and environments affect the execution speed of your application. Let's break down the provided benchmark JSON file: **Benchmark Definition**: The "Triangle Benchmark" is a simple benchmark that tests the performance of a loop-based algorithm. The script creates a triangle pattern using two nested loops: an outer loop that runs from 1 to `num` (inclusive), and an inner loop that runs from 1 to `(num-i)` (also inclusive). The inner loop appends spaces or 'x'/'o' characters to the `tampung` variable, which is then logged to the console. The `incrementHelper` variable controls the number of iterations in the inner loop. **Options Compared**: The benchmark compares different approaches to generating the triangle pattern: 1. **Ifan's Approach**: This approach uses two nested loops to generate the triangle pattern. It has a time complexity of O(n^2), where n is the input `num`. 2. **Ponok's Approach**: This approach uses another nested loop to generate the triangle pattern, but with an additional condition that checks if the last character in the `line` variable is 'x'. If it is, it appends 'o' to the `line`. However, this approach also has a time complexity of O(n^2). 3. **Panyang's Approach**: This approach uses two separate loops: one for generating the spaces or characters and another for appending them to the `line` variable. The latter loop only runs when necessary, reducing the overall number of iterations. **Pros and Cons**: * Ifan's Approach: + Pros: Simple and easy to understand. + Cons: High time complexity (O(n^2)) due to two nested loops. * Ponok's Approach: + Pros: Similar simplicity to Ifan's approach, but with an additional optimization. + Cons: Still has a high time complexity (O(n^2)) due to the nested loop structure. * Panyang's Approach: + Pros: Reduces the number of iterations by using two separate loops and avoiding unnecessary appends. + Cons: May be less intuitive for some developers due to its more complex logic. **Library Usage**: None **Special JS Feature/Syntax**: The benchmark uses basic JavaScript features such as: * Loops (for, while) * Variables (let, tampung) * Conditional statements (if/else) * String manipulation (concatenation, append) These features are fundamental to JavaScript programming and are not specific to this benchmark. **Alternatives**: Other approaches to generating triangle patterns in JavaScript could include: * Using a recursive function to build the pattern * Utilizing array methods (e.g., `map()`, `reduce()`) to generate the pattern * Employing a different data structure, such as a queue or stack, to manage the pattern generation The choice of approach depends on the specific requirements and performance characteristics of your application. In conclusion, the Triangle Benchmark compares three approaches to generating triangle patterns using nested loops. While each approach has its pros and cons, Panyang's Approach stands out for its optimization by reducing unnecessary iterations.
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