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Ramda vs native (find)
(version: 0)
TBD
Comparing performance of:
Native vs Rambda
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.28.0/ramda.js"></script>
Script Preparation code:
var users = [ { 'user': 'joey', 'age': 32 }, { 'user': 'ross', 'age': 41 }, { 'user': 'chandler', 'age': 39 } ]
Tests:
Native
users.find(function (o) { return o.age === 41; })
Rambda
R.find(R.propEq('age', 41))(users);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Native
Rambda
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 break down the benchmark and explain what's being tested. **Benchmark Overview** The benchmark compares the performance of two approaches to find an element in an array: native JavaScript (`users.find(function (o) { return o.age === 41; })`) and Ramda (`R.find(R.propEq('age', 41))(users)`). The test case uses a small array of objects, each representing a user with an age property. **Native JavaScript Approach** The native JavaScript approach uses the `find()` method to search for an element in the array. It takes two arguments: a callback function that defines the condition for finding the desired element (`function (o) { return o.age === 41; }`), and the array being searched (`users`). The callback function returns `true` if an element with age 41 is found, and `false` otherwise. Pros of native JavaScript approach: * No additional dependencies required * Easy to understand and implement Cons of native JavaScript approach: * Performance might be slower due to the overhead of a function call * Not optimized for performance **Ramda Approach** The Ramda approach uses the `find()` method from the Ramda library, which is a functional programming framework that provides a set of higher-order functions. In this case, it's used with `R.find()`, which takes two arguments: a predicate function (`R.propEq('age', 41)`) and the array being searched (`users`). The predicate function `R.propEq('age', 41)` checks if the value at key `'age'` is equal to 41. This function is equivalent to the native JavaScript callback function, but it's defined using Ramda's syntax. Pros of Ramda approach: * Provides a functional programming framework that can simplify code * Might be optimized for performance Cons of Ramda approach: * Requires additional dependencies (the Ramda library) * Can be less familiar to developers without prior experience with functional programming **Other Considerations** The benchmark also includes information about the browser, device platform, operating system, and executions per second. These metrics provide insight into how different machines and environments affect performance. **Library: Ramda** Ramda is a JavaScript library that provides a set of higher-order functions for functional programming. Its purpose is to simplify code by providing a uniform interface for common tasks, such as array manipulation and data transformation. In this benchmark, Ramda's `find()` method is used to search for an element in the array. **Special JS Feature: Arrow Functions** The callback function passed to `users.find()` uses an arrow function syntax (`function (o) { return o.age === 41; }`). This is a feature introduced in ECMAScript 2015 (ES6), which allows defining small, anonymous functions using the `=>` operator. The arrow function provides a concise way to define a small, single-expression function. In summary, this benchmark compares the performance of native JavaScript and Ramda approaches to find an element in an array. While the native JavaScript approach is straightforward and familiar, the Ramda approach may provide better performance due to its optimized implementation.
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