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test in arrzrgzr
(version: 0)
Comparing performance of:
includes vs reduce and keys
Created:
3 years ago
by:
Guest
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Script Preparation code:
var myArr = ['a', 'b', 'c', 'd', 'e']
Tests:
includes
const canDelete = !!(myArr.includes('a') && myArr.includes('b')) const canAdd = !!(myArr.includes('a') && myArr.includes('b') && myArr.includes('c')) const canUpdate = !!(myArr.includes('b') && myArr.includes('e'))
reduce and keys
const toObj = myArr.reduce((a, v) => ({ ...a, [v]: v}), {}) const canDelete = !!(toObj.a && toObj.b) const canAdd = !!(toObj.a && toObj.b && toObj.c) const canUpdate = !!(toObj.b && toObj.e)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
includes
reduce and keys
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 JSON data to understand what is being tested in this JavaScript microbenchmark. **Benchmark Definition** The benchmark definition represents the logic that will be executed during the test. In this case, there are two benchmarks: 1. "includes": This benchmark tests the performance of the `includes()` method on an array. 2. "reduce and keys": This benchmark tests the performance of the `reduce()` method with object key manipulation. **Options Compared** In both benchmarks, the options being compared are: * `canDelete`: Whether a value is present in the array or not. * `canAdd`: Whether a new value can be added to the array without causing an error. * `canUpdate`: Whether an existing value can be updated without causing an error. **Pros and Cons of Different Approaches** 1. **Using `includes()`**: This approach is simple and straightforward, but it has some limitations: * It only checks for presence, not for existence or equality. * It can lead to unnecessary comparisons if the array contains duplicate values. 2. **Using `reduce()` with object key manipulation**: This approach provides more flexibility and control, but it's also more complex: * It requires understanding of object properties and key manipulation. * It can be slower due to the overhead of creating an object. **Library Usage** In both benchmarks, no explicit libraries are used. However, some built-in JavaScript functions and data structures are utilized: 1. `includes()` method: Built-in array method that checks for presence in an array. 2. `reduce()` method: Built-in array method that applies a function to each element of the array. **Special JS Features or Syntax** There is no special JavaScript feature or syntax used in these benchmarks. **Other Considerations** 1. **Array size**: The benchmark uses an array with 5 elements, which might not be representative of larger datasets. 2. **Browser and platform**: The benchmark runs on Chrome 110 on Linux Desktop, which may not be the only combination tested. **Alternative Approaches** If you were to reimplement these benchmarks, you could consider: 1. Using a different data structure, such as a Set or a Map, to reduce complexity. 2. Employing more advanced techniques, like parallel processing or just-in-time compilation, to improve performance. 3. Testing with larger datasets or varying array sizes to gain insights into performance at scale. In summary, the provided benchmark tests the performance of two common JavaScript operations: `includes()` and `reduce()` with object key manipulation. The benchmarks compare different approaches to these operations and provide a starting point for understanding performance characteristics in JavaScript.
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