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12345678990
(version: 0)
Comparing performance of:
1 vs 2
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
Tests:
1
const area = 'SOAP' const NO_RIGHTS = { create: false, read: false, update: false, delete: false, } const roles = new Array(1000000).fill({ permissions: {[area]: { create: true } } }) const result = roles .map(R.path(['permissions', area])) .filter(Boolean) .reduce(R.mergeWith(R.or), NO_RIGHTS)
2
const area = 'SOAP' const NO_RIGHTS = { create: false, read: false, update: false, delete: false, } const roles = new Array(1000000).fill({ permissions: {[area]: { create: true } } }) const result = roles .reduce( (acc, { permissions }) => { const crud = permissions[area] return crud ? R.mergeWith(R.or, crud, acc) : acc }, NO_RIGHTS, )
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
1
2
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll explain the provided benchmark in detail. **Benchmark Overview** The provided benchmark is designed to measure the performance of JavaScript code that uses Ramda, a functional programming library. The benchmark consists of two test cases: "1" and "2". Both tests aim to calculate the permissions for users with specific roles. **Script Preparation Code** The script preparation code includes an external Ramda library file, which is loaded from a CDN (Content Delivery Network). This suggests that the developer wants to ensure that the Ramda library is available for use in the benchmark. **Individual Test Cases** There are two test cases: 1. **Test Case "1"** This test case uses the `map`, `filter`, and `reduce` methods from Ramda to calculate the permissions for users with specific roles. The code creates an array of 1,000,000 objects, each representing a user with a single permission (the "SOAP" area). The `map` method is used to extract the permissions for each user, filtering out any users without permissions. Then, the `filter` method is used to remove any falsy values from the resulting array. Finally, the `reduce` method is used to merge the remaining permissions into a single object using Ramda's `or` function. 2. **Test Case "2"** This test case uses a similar approach as Test Case "1", but with some differences. Instead of filtering out users without permissions before merging them, this code directly merges the permissions into a single object using Ramda's `mergeWith` and `or` functions. This suggests that the developer wants to optimize for performance by avoiding unnecessary filtering. **Comparison of Approaches** The two test cases compare different approaches to calculating permissions: 1. **Test Case "1" (map, filter, reduce)**: This approach is more straightforward but may be less efficient due to the filtering step. 2. **Test Case "2" (reduce, mergeWith, or)**: This approach avoids filtering and directly merges the permissions into a single object, which may lead to better performance. **Pros and Cons** The pros and cons of each approach are: 1. **Test Case "1" (map, filter, reduce)**: * Pros: Simple and easy to understand. * Cons: May be less efficient due to filtering step. 2. **Test Case "2" (reduce, mergeWith, or)**: * Pros: Avoids unnecessary filtering step, potentially leading to better performance. * Cons: Code is more concise but may be harder to understand for some developers. **Other Considerations** When using Ramda's `or` and `mergeWith` functions, it's essential to consider the following: * **Merge strategy**: The `or` function merges objects by combining properties with the same name. If you want a different merge strategy (e.g., overwrite), you'll need to use a custom implementation. * **Performance**: Using Ramda's optimized implementations can lead to better performance, but be aware that using external libraries may introduce additional overhead. **Alternatives** If you're not using Ramda or prefer an alternative library, here are some alternatives: 1. **Lodash**: A popular JavaScript utility library with similar functionality to Ramda. 2. **ES6 `reduce` and `merge` methods**: You can implement a custom merge function using these standard ES6 methods. Keep in mind that performance differences between libraries or approaches may be subtle, so thorough benchmarking is necessary to determine the best approach for your specific use case.
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