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Test_every_2
(version: 0)
Comparing performance of:
test_1 vs test_2
Created:
3 years ago
by:
Guest
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Script Preparation code:
var array_1 = [{id: 1}, {id: 2}, {id: 3}, {id: 4}, {id: 5}]; var array_2 = [{id: 6}, {id: 7}, {id: 8}]; var array_3 = [{id: 9}, {id: 10}, {id: 11}, {id: 12}, {id: 13}]; var ids_to_check = [1, 5, 8, 6, 11, 3];
Tests:
test_1
var joined_array = [ array_1, array_2, array_3, ] var counter = 0; joined_array.every(array => { array.every((object, i) => { if (ids_to_check.includes(object.id)) { array[i] = { ... object, updated: true }; counter++; } return counter >= ids_to_check.length; }); return counter >= ids_to_check.length; })
test_2
// main algorithm // joining all the sub-arrays into one array var joinedArray = [array_1, array_2, array_3]; // calculating total number of elements from all sub-arrays inside var joinedArrayTotalLength = joinedArray.reduce( (totalLength, subArray) => (totalLength += subArray.length), 0 ); var pointer = { arrayIdx: 0, elementIdx: 0 }; var updatedElementsCounter = 0; for (let i = 0; i < joinedArrayTotalLength; i++) { // switching between the sub-arrays if we are out of the previous one if (pointer.elementIdx > joinedArray[pointer.arrayIdx].length - 1) { pointer.arrayIdx++; pointer.elementIdx = 0; } var currentElement = joinedArray[pointer.arrayIdx][pointer.elementIdx]; // safe undefined element handling if (!currentElement) { i--; pointer.elementIdx++; continue; } // updating element in the source array if (ids_to_check.includes(currentElement.id)) { joinedArray[pointer.arrayIdx][pointer.elementIdx] = { ...currentElement, updated: true, }; updatedElementsCounter++; } if (updatedElementsCounter === ids_to_check.length) { break; } pointer.elementIdx++; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
test_1
test_2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring performance is an essential aspect of software development, and it's great that you're utilizing MeasureThat.net to benchmark your JavaScript code. **Benchmark Definition** The provided JSON represents a benchmark definition for two test cases. Here's what each part tests: * `Script Preparation Code`: This section initializes three arrays (`array_1`, `array_2`, and `array_3`) with sample data and defines an array (`ids_to_check`) containing indices to be checked. * `Html Preparation Code`: There is no HTML preparation code provided, which means the benchmark focuses solely on JavaScript execution. **Test Cases** The two test cases are: 1. `test_1`: * Joins all sub-arrays into one using the `every()` method and updates elements in the original arrays based on the `ids_to_check` array. * This approach uses a higher-level, more concise syntax but may incur overhead due to method calls and additional memory allocations. 2. `test_2`: * Main algorithm: Joins all sub-arrays into one using simple indexing (`joinedArray[pointer.arrayIdx][pointer.elementIdx]`) and updates elements in the original arrays based on the `ids_to_check` array. * This approach uses a lower-level, more explicit syntax but may require more manual memory management and loop iterations. **Pros and Cons** Here's a brief summary of each approach: 1. `test_1` (Higher-level syntax): * Pros: + More concise and readable code + Easier to maintain and modify * Cons: + May incur overhead due to method calls and additional memory allocations 2. `test_2` (Lower-level syntax): * Pros: + More control over the loop and indexing + Can be more efficient in terms of memory usage * Cons: + More verbose and error-prone code + Requires manual memory management **Library Usage** The `Array.prototype.every()` method is used in `test_1`, which is a built-in JavaScript method. The `Object.assign()` method (`... object`) is also used, but it's not explicitly mentioned as a library. **Special JS Feature/Syntax** There are no special JS features or syntaxes being utilized in these benchmarks. Both approaches use standard JavaScript concepts and methods. **Alternatives** If you're looking for alternative benchmarking strategies, consider the following: 1. Profiling: Use tools like Chrome DevTools or Node.js Inspector to profile your code's performance at runtime. 2. Microbenchmarking libraries: Explore libraries like `micro-benchmark` (for Node.js) or ` benchmark-chrome-ext` (for Chrome extensions). 3. Loop unrolling: If you're concerned about loop iterations, consider using loop unrolling techniques to reduce the number of iterations. Keep in mind that these alternatives may not provide a direct comparison to MeasureThat.net's approach, but they can be useful for further performance optimization and tuning.
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