Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
Aviiiiii
(version: 0)
Comparing performance of:
Ronnnnn vs Gaiiiiiii
Created:
4 years ago
by:
Guest
Jump to the latest result
HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
Ronnnnn
var l = [...new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7])]; return l;
Gaiiiiiii
var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
Ronnnnn
Gaiiiiiii
Fastest:
N/A
Slowest:
N/A
Latest run results:
No previous run results
This benchmark does not have any results yet. Be the first one
to run it!
Autogenerated LLM Summary
(model
gemma2:9b
, generated one year ago):
This benchmark tests the performance of two different approaches to removing duplicate numbers from an array: **Approach 1 (Native JavaScript):** * `var l = [...new Set([1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7])]; return l;` * This approach leverages the `Set` object, which inherently stores only unique values. The spread operator (`...`) is used to expand the Set back into an array. **Approach 2 (Lodash Library):** * `var l = [1, 2, 3, 4, 5, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7]; return _.uniq(l);` * This approach utilizes the `_.uniq()` function from the Lodash library. Lodash is a popular JavaScript utility library that provides a wide range of functions for working with arrays, objects, and other data structures. **Pros and Cons:** * **Native Approach:** * **Pros:** More performant in modern JavaScript engines due to optimized `Set` implementation; no external dependencies. * **Cons:** Requires understanding of `Set` object. * **Lodash Approach:** * **Pros:** Easier to read and understand for developers familiar with Lodash syntax; provides other useful array manipulation functions. * **Cons:** Adds an external dependency (Lodash) to the project, potentially increasing bundle size. **Other Considerations:** * For very large arrays, performance differences might become more significant. * Consider whether using a specialized library like Lodash is justified for the specific project based on its complexity and requirements. Let me know if you have any other questions about this benchmark or need further clarification!
Related benchmarks:
kjlh,j,hkljh
sanitize-html vs lodash
Equals vs underscore vs lodash part 2
Random perf
lodash vs radash 3
Comments
Confirm delete:
Do you really want to delete benchmark?