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Some and reduce
(version: 0)
Comparing performance of:
Reduce vs Other
Created:
6 years ago
by:
Guest
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Tests:
Reduce
let testArray = [ { id: 1, max: 18 }, { id: 2 }, { id: 3, max: 25 } ] return testArray.some(item => item.hasOwnProperty('max')) ? testArray.reduce((max, item) => item.max > max ? item.max : max, 0) : null
Other
let testArray = [ { id: 1, max: 18 }, { id: 2 }, { id: 3, max: 25 } ] let maxArray = [] const maxLimits = [] let data = testArray.forEach(item => { if(item.max) maxArray.push(item.max) }) maxLimits.push(Math.max(...maxArray)) return Math.max(maxLimits)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Reduce
Other
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided JSON and explain what's being tested, the options being compared, their pros and cons, and other considerations. **Benchmark Definition JSON** The `Script Preparation Code` field is empty, which means that no setup code is required to run the benchmark. The `Html Preparation Code` field is also empty, indicating that no HTML-specific preparation is needed. **Individual Test Cases** There are two test cases: 1. **"Reduce"** * The `Benchmark Definition` uses JavaScript's built-in `some()` and `reduce()` methods. * The code creates an array of objects with `id` and `max` properties, then checks if any object has a `max` property using `some()`. If true, it returns the maximum value among the objects' `max` properties by reducing them using `reduce()`. Pros: * Simple and straightforward implementation * Uses built-in JavaScript methods Cons: * Performance may be affected by the overhead of checking if any object has a `max` property before applying `reduce()` 2. **"Other"** * This test case uses a different approach to achieve the same result. * It creates an array of maximum values from the original array using `forEach()` and `push()`, then finds the maximum value among those results using `Math.max()`. Pros: * No need to check if any object has a `max` property before applying reduction * Uses `Math.max()` for finding the maximum value, which is generally faster than built-in `reduce()` Cons: * More verbose and complex implementation + Requires creating an intermediate array of maximum values **Library and Special JS Features** There are no libraries used in these benchmarks. However, JavaScript's `some()` and `reduce()` methods are essential features that make the code more concise. **Other Alternatives** For comparison, here are some alternative approaches: 1. Using a loop to iterate over the array and manually find the maximum value: ```javascript let max = -Infinity; for (const item of testArray) { if (item.max > max) { max = item.max; } } return max; ``` This approach is more verbose than using `reduce()` but might be faster for very large arrays. 2. Using the spread operator (`...`) to create a new array with maximum values: ```javascript let maxArray = [...testArray].map(item => item.max).filter(val => val !== undefined); return Math.max(...maxArray); ``` This approach is similar to "Other" but uses an array map and filter instead of `forEach()` and `push()`. In conclusion, the "Reduce" test case uses built-in JavaScript methods for a simple and concise implementation. The "Other" test case provides an alternative approach using a loop and manual filtering for finding the maximum value.
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