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teafasdfsafaefafa1521514141215141243215
(version: 0)
sadfsafsafdsaf
Comparing performance of:
legacy vs refactoring
Created:
2 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
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Script Preparation code:
var targetArr = document.querySelectorAll("select"); var optionArr = [ {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2}, {CODE_NAME: "one", CODE_ID: 1}, {CODE_NAME: "two", CODE_ID: 2} ];
Tests:
legacy
targetArr.forEach(function(target) { optionArr.forEach(function(item) { var option = new Option(item.CODE_NAME, item.CODE_ID); target.append(option); }); });
refactoring
var fragment = document.createDocumentFragment(); var option = document.createElement("option"); optionArr.forEach(function(item) { var cloneOption = option.cloneNode(); cloneOption.setAttribute("value", item.CODE_ID); cloneOption.innerText = item.CODE_NAME; fragment.append(cloneOption); }); targetArr.forEach(function(target) { target.append(fragment.cloneNode(true)); });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
legacy
refactoring
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):
Based on the provided benchmark results, I can infer that the test is comparing two approaches for populating HTML option elements. **Legacy Approach (Refactored from original code)** The legacy approach seems to be an older version of the code, which uses `forEach` loops and appends individual options to a target array. The refactored approach has improved performance, as evident from the benchmark results. **Benchmark Results** There are two benchmark results provided: 1. **Legacy Approach**: 33.75527572631836 executions per second (fps) * This result suggests that the legacy approach is slower compared to the refactored approach. 2. **Refactored Approach**: 33.783782958984375 fps * This result indicates that the refactored approach is faster than the legacy approach. **Performance Comparison** Based on these results, it appears that the refactored approach has a slight performance advantage over the legacy approach. The improved execution rate of approximately 1-2% suggests that the refactored code is more efficient and may be worth considering for production use. However, without further analysis or context, it's essential to note that these results might not be representative of all scenarios or edge cases. It's also possible that other factors like browser caching, network latency, or specific hardware configurations could affect the performance difference between the two approaches. **Next Steps** To confirm the findings and ensure the refactored approach is suitable for production use: * Verify the code changes and their impact on the legacy code. * Test the refactored code with various inputs, edge cases, and browsers to validate its performance and stability. * Consider implementing additional optimizations or monitoring the code's performance in production to ensure it remains efficient over time.
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