<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js"></script>
function double(n) {
return n*2;
}
function add4(n) {
return n + 4;
}
var data = [Array(20)].map((v, idx) => idx);
R.map(R.compose(double, add4), data);
data.map(double).map(add4);
_(data).map(double).map(add4);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Ramda | |
Array (native) | |
Lodash |
Test name | Executions per second |
---|---|
Ramda | 545906.3 Ops/sec |
Array (native) | 1203177.4 Ops/sec |
Lodash | 921130.1 Ops/sec |
Let's break down the benchmark and its test cases.
What is tested?
The provided JSON represents a benchmark that tests the speed of three different approaches to perform a map operation on an array:
map()
method of JavaScript arrays.map()
function is used to perform the mapping operation.map()
function is used to perform the mapping operation.Options compared
The three approaches are compared in terms of their performance, which is measured by the number of executions per second.
Pros and Cons of each approach
Other considerations
double()
and add4()
as examples. In a real-world scenario, the input data and function complexity can significantly impact the results.Special JS features or syntax
There are no special JavaScript features or syntax mentioned in the provided code snippets. However, it's worth noting that functional programming languages and libraries often rely on concepts like immutability, higher-order functions, and function composition to achieve concise and expressive code.
Library descriptions
map()
function takes a mapping function as an argument and applies it to each element of the input array.map()
function takes a callback function as an argument and applies it to each element of the input array.Alternatives
If you're interested in exploring alternative approaches or libraries for mapping arrays, here are a few options:
map()
function similar to Lodash.