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rot13342
(version: 0)
Comparing performance of:
1 vs 2
Created:
9 years ago
by:
Guest
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Tests:
1
function rot13(str) { // LBH QVQ VG! var decode = []; var decodeString = ""; for (i = 0; i < str.length; i++) { decode.push(str.charCodeAt(i)); if (decode[i] >= 78 && decode[i] <= 90) { decode[i] = decode[i] - 13; } else if (decode[i] >= 65 && decode[i] < 78) { decode[i] = decode[i] + 13; } decodeString += String.fromCharCode(decode[i]); } return decodeString; } // Change the inputs below to test rot13("SERR PBQR PNZC");
2
function rot13(str) { // LBH QVQ VG! return str.replace(/[A-Z]/g, (L) => String.fromCharCode(65 + (L.charCodeAt(0) - 65 + 13) % 26)); } rot13("SERR PBQR PNZC");
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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):
Let's break down the provided JSON and explain what's being tested. **Benchmark Definition** The `Name` field represents the name of the benchmark, which is `rot13342`. The `Description` field is empty, so we don't have any information about the purpose or context of this benchmark. The `Script Preparation Code` and `Html Preparation Code` fields are also empty, indicating that no special setup code needs to be executed before running the test. **Individual Test Cases** There are two individual test cases: 1. **Case 1**: This case uses a simple implementation of the Caesar cipher (rot13) function in JavaScript. The function takes a string as input and applies the rotation transformation by subtracting or adding 13 from each letter's ASCII value, depending on whether the character is uppercase or lowercase. 2. **Case 2**: This case uses the `replace()` method with a regular expression to apply the rot13 transformation. The regular expression `[A-Z]` matches any uppercase letter, and the callback function converts each match to its corresponding rotated character using the formula `(65 + (L.charCodeAt(0) - 65 + 13) % 26)`. **Options Compared** The two test cases compare two different approaches for applying the rot13 transformation: 1. **Case 1**: Uses a simple loop-based implementation that manually checks each character's ASCII value and applies the rotation. 2. **Case 2**: Uses the `replace()` method with a regular expression, which is likely to be faster but may require more memory to store the replacement strings. **Pros and Cons of Each Approach** 1. **Loop-based implementation (Case 1)**: * Pros: Easy to understand and implement, no additional dependencies required. * Cons: May be slower due to manual loop iteration and character checks. 2. **Regular expression approach (Case 2)**: * Pros: Likely to be faster due to the use of optimized regular expression engines. * Cons: Requires additional dependencies (e.g., a JavaScript engine that supports regular expressions) and may require more memory to store replacement strings. **Library and Special JS Features** In Case 1, no libraries or special JavaScript features are used beyond the standard `String` class. In Case 2, the `replace()` method with a regular expression is used, which relies on the browser's support for regular expressions. **Other Alternatives** To test alternative approaches, you could consider adding additional test cases, such as: * Using a different rotation value (e.g., +1 instead of +13). * Applying multiple rotations to a single character. * Using a different encoding scheme (e.g., ASCII-8BIT instead of UTF-8). By adding these alternative test cases, you can evaluate the performance and efficiency of different rot13 implementation strategies.
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