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Reduce with inline add vs. lodash add for ten thousand elements
(version: 0)
Comparing performance of:
inline add vs lodash add
Created:
5 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Tests:
inline add
const numbersFromOneUpToTenThousand = [...Array(10000).keys()]; console.log( numbersFromOneUpToTenThousand.reduce((a,b) => a+b) );
lodash add
const numbersFromOneUpToTenThousand = [...Array(10000).keys()]; const {add} = _; console.log( numbersFromOneUpToTenThousand.reduce(add));
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
inline add
lodash add
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of MeasureThat.net and understand what's being tested in this benchmark. **What is being tested?** MeasureThat.net provides a platform for users to create and run JavaScript microbenchmarks. In this specific benchmark, two different approaches are compared: 1. **Inline addition**: This approach uses the built-in `+` operator to add numbers together. It's a straightforward and simple way to perform arithmetic operations. 2. **Lodash addition**: This approach uses the popular JavaScript library Lodash, which provides a utility function called `add` that takes two arguments and returns their sum. **Options being compared** The benchmark compares the performance of these two approaches on an array of 10,000 elements. The goal is to determine which approach is faster for this specific use case. **Pros and cons of each approach** **Inline addition:** Pros: * Simple and easy to understand * No additional dependencies required * Fast execution Cons: * May not be optimized for performance * Can lead to slower performance due to the overhead of the `+` operator **Lodash addition:** Pros: * Optimized for performance by the library authors * Reduces code duplication and improves readability * Provides a robust set of utility functions Cons: * Requires an additional dependency (Lodash) * May introduce additional overhead due to the library's complexity **Library overview - Lodash** Lodash is a popular JavaScript utility library that provides a comprehensive set of functional programming helpers. It includes functions like `add`, `map`, `filter`, and many more, making it a go-to library for tasks that require data manipulation or transformation. In this benchmark, the `lodash.add` function is used to perform the addition operation, which allows users to tap into Lodash's optimized implementation. **Special JavaScript feature - Arrow functions** The benchmark uses arrow functions (`(a,b) => a+b`) to define the reduction callback. Arrow functions are a concise way to create small, one-time use functions in JavaScript. They were introduced in ECMAScript 2015 (ES6) and have since become a popular feature in modern JavaScript development. **Benchmark preparation code** The benchmark preparation code includes two scripts: `Script Preparation Code` is empty, while `Html Preparation Code` includes a reference to the Lodash library. **Other alternatives** If you're interested in exploring alternative approaches or libraries for similar use cases, here are some options: * Use other utility libraries like Moment.js (for date manipulation) or MathJax (for mathematical expressions). * Implement your own custom functions or algorithms for specific tasks. * Experiment with different JavaScript engines or versions to see how they perform on specific benchmarks. Keep in mind that the choice of approach depends on the specific requirements and constraints of your project. MeasureThat.net provides a great platform for experimenting with different techniques and finding the most efficient solutions.
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