<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>
var str = 'live_dlick_product_caunt_blias'
_.camelCase(str)
str.split("-").map((item, index) => index ? item.charAt(0).toUpperCase() + item.slice(1).toLowerCase() : item).join("");
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
lodash | |
javascript |
Test name | Executions per second |
---|---|
lodash | 1454322.4 Ops/sec |
javascript | 15318292.0 Ops/sec |
Let's dive into the explanation of what's being tested on MeasureThat.net.
The benchmark is comparing two approaches for converting camelCase strings to PascalCase: lodash
(a popular JavaScript utility library) and JavaScript built-in functions.
Options being compared:
_.camelCase(str)
): This function takes a string as input, splits it into words based on underscores, capitalizes the first letter of each word, and converts the rest to lowercase..split(''-').map((item, index) => index ? item.charAt(0).toUpperCase() + item.slice(1).toLowerCase() : item).join('')
): This code snippet manually splits the input string into words using underscores as separators, capitalizes the first letter of each word, and converts the rest to lowercase.Pros and Cons of each approach:
Lodash (_.camelCase(str)
):
Pros:
Cons:
lodash
library) to the projectJavaScript built-in functions:
Pros:
lodash
Cons:
_.camelCase
Library explanation:
lodash
is a popular JavaScript utility library that provides a comprehensive set of functions for various tasks, such as string manipulation, array operations, and more. The .camelCase()
function is just one of the many useful tools provided by lodash
.
Special JS feature or syntax:
There doesn't seem to be any special JavaScript features or syntax used in this benchmark that would require additional explanation.
Other alternatives:
For converting camelCase strings to PascalCase, other alternatives could include:
camelcase
(a lightweight, dependency-free alternative to lodash
)underscore
or string-pixel
However, these alternatives may not be as widely tested or well-documented as lodash
, which might affect their performance and reliability in certain scenarios.
I hope this explanation helps software engineers understand the benchmark being performed on MeasureThat.net!