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cached stop condition in for loop2
(version: 0)
cached stop condition in for loop
Comparing performance of:
non cached vs cached vs non cached complex vs cached complex
Created:
6 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var totalCount = 0; var arrayToTest = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
Tests:
non cached
for(let i = 0; i < arrayToTest.length; i++){ totalCount++; }
cached
let lengthTotal = arrayToTest.length; for(let i = 0; i < lengthTotal; i++){ totalCount++; }
non cached complex
for(let i = 0; i < Math.min(10, arrayToTest.length - 1); i++){ totalCount++; }
cached complex
let lengthTotal = Math.min(10, arrayToTest.length - 1); for(let i = 0; i < lengthTotal; i++){ totalCount++; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
non cached
cached
non cached complex
cached complex
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
The provided JSON represents a set of benchmark tests for JavaScript performance comparison. The main goal is to measure the execution time and speed of different approaches for caching the loop condition in a for loop. **Benchmark Definitions** There are four individual test cases: 1. **Non-Cached**: This test case uses the traditional `i < arrayToTest.length` approach, where the length of the array is evaluated at each iteration. 2. **Cached**: This test case uses a cached version of the loop condition, where the length of the array is stored in a variable and reused throughout the loop. 3. **Non-Cached Complex**: This test case uses an additional complexity by using `Math.min(10, arrayToTest.length - 1)` as the loop condition, which evaluates to 0 when the array length is less than or equal to 10. 4. **Cached Complex**: This test case combines the caching approach with the complex condition from the previous test case. **Options Compared** The two main options being compared are: * Traditional `i < arrayToTest.length` (non-cached) vs. cached loop condition * Adding complexity to the loop condition with `Math.min(10, arrayToTest.length - 1)` (complex non-cached) vs. cached complex loop condition **Pros and Cons** * **Cached Loop Condition** + Pros: Can lead to better performance by avoiding repeated evaluations of the loop condition. + Cons: May not work correctly if the loop needs to be terminated early due to other conditions. * **Non-Cached Loop Condition** + Pros: Simple and easy to understand, works well in most cases. + Cons: Can lead to slower performance due to repeated evaluations of the loop condition. **Other Considerations** * The caching approach can also depend on the specific use case and requirements. For example, if the loop needs to be terminated early, a cached condition may not work correctly. * The complexity added to the non-cached condition (e.g., `Math.min(10, arrayToTest.length - 1)`) can impact performance in some cases, but it also adds additional complexity and may not always lead to better results. **Libraries and Special JS Features** There are no libraries mentioned in the provided JSON. However, the caching approach relies on understanding of JavaScript's variable scope and hoisting. **Other Alternatives** If you're interested in exploring alternative approaches or variations on these benchmarks, here are a few options: * Compare the performance of using `let` vs. `const` for loop conditions. * Test the impact of cache size on the performance of cached loops. * Explore other caching strategies, such as memoization or store-and-reuse approaches. Feel free to ask if you'd like me to elaborate on any of these points!
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