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Test lodash v2
(version: 0)
Comparing performance of:
Strict vs Lazy vs Lazy with one function
Created:
9 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdn.jsdelivr.net/lodash/4.16.0/lodash.min.js"></script>
Script Preparation code:
var array = _.range(1000);
Tests:
Strict
_.reduce(_.filter(array, function(n) { return n > 998; }), function(acc, n) { acc.push({test: n}); return acc; }, []);
Lazy
_(array).filter(function(n) { return n > 998; }).reduce(function(acc, n) { acc.push({test: n}); return acc; }, []);
Lazy with one function
_(array).reduce(function(acc, n) { if(n <= 998) return acc; else { acc.push({test: n}); return acc; } }, []);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Strict
Lazy
Lazy with one function
Fastest:
N/A
Slowest:
N/A
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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 Definition** The benchmark is testing two approaches to filtering an array using Lodash, a popular JavaScript library for functional programming. The test cases are: 1. **Strict**: This approach uses `_.reduce` and `_.filter` in a strict, synchronous manner. It iterates over the filtered array and pushes each element into a new array. 2. **Lazy**: This approach uses `_` (the Lodash wrapper) and `_.filter` with a lazy function that returns an iterator. The `_.reduce` method then iterates over this iterator and pushes each element into a new array. 3. **Lazy with one function**: Similar to the Lazy approach, but it's implemented using a single function instead of two separate functions. **Options Compared** The benchmark is comparing the performance of these three approaches: * Synchronous filtering (Strict) vs. asynchronous filtering (Lazy and Lazy with one function) * Using multiple functions vs. using a single function **Pros and Cons** Here are some pros and cons of each approach: 1. **Strict**: * Pros: Easy to understand, simple implementation. * Cons: Can be slow due to synchronous iteration over the filtered array. 2. **Lazy**: * Pros: Asynchronous iteration can reduce overhead, potentially faster performance. * Cons: Requires understanding of iterators and asynchronous programming. 3. **Lazy with one function**: * Pros: Similar benefits to Lazy, but with a simpler implementation. * Cons: May require more memory due to the single-function approach. **Lodash Library** Lodash is a popular JavaScript library for functional programming. It provides a set of utility functions that make it easier to write concise and efficient code. In this benchmark, Lodash is used to provide a `_.range` function that generates an array with 1000 elements, which is then filtered and reduced. **Special JS Features/Syntax** This benchmark uses the following JavaScript features: * ES6 syntax (e.g., arrow functions, template literals) * Lodash's `_` wrapper for functional programming * Iterators and asynchronous programming Note that these features are not specific to this benchmark and are commonly used in modern JavaScript development. **Other Alternatives** If you're interested in alternatives to Lodash or different approaches to filtering arrays, here are a few options: * Vanilla JavaScript: You can use the `Array.prototype.filter()` method directly without any additional libraries. * Other functional programming libraries: Libraries like Ramda, Immutable.js, or Preact provide similar functionality to Lodash but with different APIs and focus areas. * Custom implementation: Depending on your specific requirements, you might choose to implement a custom filtering algorithm without using any external libraries. Keep in mind that each approach has its trade-offs, and the choice ultimately depends on your project's needs, performance requirements, and personal preference.
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