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swap test
(version: 0)
Comparing performance of:
2017 swap vs 1824 swap vs third arg swap
Created:
8 years ago
by:
Guest
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Tests:
2017 swap
let swap = (a, b) => [b, a]; let inA = 5; let inB = 7; let out = swap(inA, inB);
1824 swap
let inA = 5; let inB = 7; inA ^= inB; inB ^= inA; inA ^= inB;
third arg swap
let inA = 5; let inB = 7; let inC; inC = inA; inA = inB; inB = inC;
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
2017 swap
1824 swap
third arg swap
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36
Browser/OS:
Chrome 120 on Windows
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Test name
Executions per second
2017 swap
1713987584.0 Ops/sec
1824 swap
1710657664.0 Ops/sec
third arg swap
1694635264.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript benchmarks. **Benchmarking** Benchmarking is the process of measuring the performance of a piece of code or a function by running it multiple times and comparing the results. This helps to identify bottlenecks, optimize code for better performance, and compare different implementations of the same algorithm. **JSON Structure** The provided JSON represents a benchmark definition and individual test cases. Here's a breakdown: * `Benchmark Definition`: A brief description of the benchmark, which in this case is just an empty string (`null`). * `Script Preparation Code`: An optional code snippet that should be executed before running the benchmark script. * `Html Preparation Code`: Another optional code snippet that should be executed before rendering the HTML for the benchmark. * `Individual test cases`: A list of objects, each representing a single test case. Each test case has: + `Benchmark Definition`: The actual JavaScript code being benchmarked. + `Test Name`: A unique identifier for the test case. **Comparison Options** The provided benchmarks compare three different approaches to implementing a swap function: 1. **Swap using array destructuring**: The first test case uses the following code: `let swap = (a, b) => [b, a]; let inA = 5; let inB = 7; let out = swap(inA, inB);`. This approach is often considered elegant and concise. 2. **Swap using XOR**: The second test case uses the following code: `let inA = 5; let inB = 7; inA ^= inB; inB ^= inA; inA ^= inB;`. This approach is often considered more efficient, as it avoids creating a temporary array. 3. **Swap using multiple assignments**: The third test case uses the following code: `let inA = 5; let inB = 7; let inC; inC = inA; inA = inB; inB = inC;`. This approach is often considered less efficient due to the extra assignments. **Pros and Cons** Here's a brief summary of the pros and cons of each approach: 1. **Swap using array destructuring**: * Pros: Elegant, concise, easy to understand. * Cons: May not be as efficient due to the creation of a temporary array. 2. **Swap using XOR**: * Pros: Efficient, often faster than other approaches. * Cons: May be less intuitive for some developers. 3. **Swap using multiple assignments**: * Pros: None notable. * Cons: Less efficient due to extra assignments. **Library Usage** There are no libraries explicitly mentioned in the provided benchmark definition or test cases. **Special JS Features/Syntax** None of the test cases use any special JavaScript features or syntax that would require additional explanation. **Alternatives** For those interested in exploring alternative approaches, here are some common swap algorithms: * **Dutch National Flag Algorithm**: A variation of the XOR-based approach that eliminates the need for a temporary variable. * **Cocktail Sort**: A sorting algorithm that can also be used as a simple swap function. * **Bubble Sort with Swap**: A sorting algorithm that uses a simple swap function to sort arrays. These alternatives might provide different trade-offs in terms of performance, complexity, and readability.
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