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maxorflat
(version: 0)
Comparing performance of:
max vs flat
Created:
5 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<html></html>
Tests:
max
const series = [ { x: 'foo', y: [ 123, 234 ] }, { x: 'bar', y: [ 234, 123, 345 ] } ]; Math.max(...series.map(({ y }) => Math.max(...y)));
flat
const series = [ { x: 'foo', y: [ 123, 234 ] }, { x: 'bar', y: [ 234, 123, 345 ] } ]; Math.max(...series.map(({ y }) => y).flat());
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
max
flat
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 benchmark and its test cases. **Benchmark Overview** MeasureThat.net is a website that allows users to create and run JavaScript microbenchmarks. The provided benchmark definition consists of two test cases: "max" and "flat". These tests are designed to measure the performance of different approaches to finding the maximum value in an array. **Test Cases** The first test case, "max", uses the `Math.max` function to find the maximum value in an array. The input array contains objects with a nested array as its value. The test case maps each object to extract its inner array and then finds the maximum value of those arrays using `Math.max`. This approach has a time complexity of O(n), where n is the number of elements in the outer array. The second test case, "flat", uses the `flat()` method to flatten the nested array before finding the maximum value. The input array is similar to the first test case. However, instead of using `Math.max`, it uses `flat()` to extract all elements from the nested array and then finds the maximum value. **Library Used** In both test cases, a library called `lodash` is used. Specifically, the `_.maxBy` function from Lodash is used in the "max" test case to find the maximum value of each inner array. In the "flat" test case, Lodash is not explicitly mentioned, but it's likely that `flat()` was implemented using similar logic. **Pros and Cons** Here are some pros and cons of the different approaches: * **`Math.max`**: Pros: widely supported, efficient (O(n)) for small to medium-sized arrays. Cons: may have performance issues with very large arrays due to the need to map over each element. * **`flat()`**: Pros: can handle larger arrays more efficiently by avoiding mapping over each element. Cons: may not be suitable for smaller arrays, and its implementation might be slower than `Math.max` for certain use cases. **Other Considerations** When considering performance optimizations, it's essential to think about the following: * Array size and shape: Larger arrays or arrays with more nested levels can impact performance. * Browser support: Different browsers may have varying levels of support for certain JavaScript features or libraries. * Optimizations in Lodash: The `flat()` function might be optimized internally by Lodash, which could affect its performance. **Special JS Features/Syntax** In the provided benchmark definition, there are no special JS features or syntax used. However, it's worth noting that some modern browsers support advanced JavaScript features like async/await, let, and const, which can impact performance in certain scenarios. **Alternatives** If you want to create a similar benchmark, you could consider using other libraries or built-in methods for finding the maximum value in an array. Some alternatives include: * `Array.prototype.reduce`: A method that reduces an array to a single value. * `Array.prototype.map` and `Array.prototype.sort`: Combinations of these two methods can be used to find the maximum value. Keep in mind that performance optimizations should always consider the specific use case, data characteristics, and target audience.
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