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Lodash replace test
(version: 0)
Comparing performance of:
Lodash vs Native
Created:
6 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:
Lodash
var grouped = _.groupBy(['one', 'two', 'three'], 'length')
Native
var grouped = ['one', 'two', 'three'].reduce((r, v, i, a, k = v.length) => ((r[k] || (r[k] = [])).push(v), r), {})
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
Lodash
Native
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to explain what's being tested in the provided benchmark and provide an overview of the options compared, pros and cons, and other considerations. **Benchmark Overview** The benchmark compares two approaches for grouping an array by a specific property: using the Lodash library (`_.groupBy`) versus implementing it natively (without any external libraries). **Lodash Library** Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, including data manipulation, functional programming, and more. The `_.groupBy` function takes two arguments: the input array and the property to group by. **Native Implementation** The native implementation uses the `reduce()` method to achieve the same result as `_groupBy`. It iterates over the array, applying a callback function to each element that groups it based on its length (the property specified). **Comparison of Options** Here's a brief comparison of the two approaches: * **Lodash (`_.groupBy`)**: + Pros: - More concise and expressive code - Handles edge cases and errors out-of-the-box + Cons: - Requires an additional library to be included in the test - May not be suitable for performance-critical applications or those with strict size constraints * **Native Implementation**: + Pros: - No dependencies on external libraries - Can be optimized for specific use cases and performance requirements + Cons: - Requires more code to achieve the same result as `_groupBy` - May not handle edge cases or errors as elegantly as Lodash **Other Considerations** When choosing between these two approaches, consider the following factors: * **Performance**: If you're working with large datasets and performance is critical, the native implementation might be a better choice. However, if you prioritize conciseness and ease of use, Lodash might be a more suitable option. * **Code readability**: The native implementation may require more lines of code to achieve the same result as Lodash's `_groupBy` function. If code readability is essential in your project, you might prefer to use Lodash. * **Size constraints**: If you're working with very small binary payloads or have strict size limits, using an external library like Lodash might not be feasible. **Special JS Feature/ Syntax** This benchmark doesn't use any special JavaScript features or syntax that would affect the interpretation of the results. The focus is on comparing two distinct approaches to achieve a specific goal (grouping data by length). I hope this explanation helps!
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