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Array.includes vs Dictionary lookup no console
(version: 0)
Comparing performance of:
Array.includes vs Dictionary lookup
Created:
2 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.15/lodash.min.js"></script>
Script Preparation code:
var myArr = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z']; var myDict = _.keyBy(myArr); var isIncluded;
Tests:
Array.includes
isIncluded = myArr.includes('m')
Dictionary lookup
isIncluded = myDict['m']
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Array.includes
Dictionary lookup
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks. The provided JSON represents two benchmark test cases: `Array.includes` and `Dictionary lookup`. The goal is to compare the performance of these two approaches on a given dataset, which consists of an array (`myArr`) and a dictionary (`myDict`) created using the Lodash library (`_.keyBy(myArr)`). **What is tested?** The benchmark tests the performance of: 1. `Array.includes`: Checking if a specific element exists in the array. 2. `Dictionary lookup`: Directly accessing a value from the dictionary using its key. **Options compared:** We have two options being compared: A) `Array.includes` B) `Dictionary lookup` **Pros and Cons:** ### Array.includes Pros: * Widely supported by most JavaScript engines * Simple to implement * Works with various data structures (not just arrays) Cons: * May not be as efficient for large datasets due to the overhead of linear search * Can be slower than direct dictionary lookup if the array is sparse ### Dictionary lookup Pros: * Fast and efficient for direct access to values in a dictionary-like data structure * Suitable for dense datasets Cons: * Requires creating an index (e.g., using Lodash's `_.keyBy`) which can add overhead * May not be as widely supported by JavaScript engines, especially if the dictionary is very large **Library:** The Lodash library (`_.keyBy(myArr)`) is used to create a dictionary-like data structure from the array. In this case, `_keyBy` generates an object with keys that are the original values in the array and values that are `undefined`. **Special JS feature or syntax:** There isn't any special JavaScript feature or syntax being used here. The benchmark focuses on comparing two basic operations. **Other alternatives:** If you want to add more options to compare, you could consider adding: * Using a custom implementation for dictionary lookup * Comparing with other methods, such as `indexOf` or `findIndex` * Testing with different data distributions (e.g., random, sorted) Keep in mind that the choice of alternatives will depend on your specific use case and requirements. **Benchmark preparation code:** The provided script preparation code creates two variables: * `myArr`: An array containing 26 elements * `myDict`: A dictionary created using Lodash's `_.keyBy` function, mapping each element in `myArr` to an index (in this case, just `undefined`) **Individual test cases:** Each test case consists of a single benchmark definition: * `isIncluded = myArr.includes('m')` * `isIncluded = myDict['m']` These two lines create the basis for measuring the performance of each approach. Now that we've explored the details, I hope this explanation has been helpful in understanding what's being tested and compared!
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