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Lodash _.flow vs flew
(version: 1)
Compare lodash flow with our custom method
Comparing performance of:
flow vs flew
Created:
7 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
const flow = (funcs) => { const length = funcs ? funcs.length : 0 let index = length while (index--) { if (typeof funcs[index] != 'function') { throw new TypeError('Expected a function') } } return function (...args) { let index = 0 let result = length ? funcs[index].apply(this, args) : args[0] while (++index < length) { result = funcs[index].call(this, result) } return result } } const flew = (funcs) => { if(funcs.some(func => typeof func != 'function')) { throw new TypeError('Expected a function') } return (...args) => funcs.reduce((arg, fn, index) => index == 0 ? fn(...arg) : fn(arg), args) } const div = (_, i) => _ / i const add = (i, j) => i + j const mult = (_, i, j) => _ * i const sous = (_, i) => _ - i const funcs = [add, div.bind(this, 2), mult.bind(this, 3), sous.bind(this, 10)] function doFlow() { return flow(funcs)(4,6) } function doFlew() { return flew(funcs)(4,6) }
Tests:
flow
var flowResult = 0 flowResult = doFlow()
flew
var flewResult = 0 flewResult = doFlew()
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
flow
flew
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON benchmark. **Benchmark Definition** The benchmark compares two JavaScript functions: `lodash flow` and a custom implementation called `flew`. Both functions are designed to apply multiple functions in sequence, with each function taking its result as an argument. **Options Compared** The two options being compared are: 1. **Lodash `_flow`**: A utility function from the Lodash library that applies a sequence of functions to an initial value. 2. **Custom implementation: `flew`**: A custom JavaScript function implemented by the user, which also applies a sequence of functions to an initial value. **Pros and Cons** Here's a brief overview of the pros and cons of each approach: 1. **Lodash `_flow`**: * Pros: + Well-tested and widely used library. + Provides a clear and concise API for function chaining. * Cons: + Adds external dependency (Lodash) to the project. + May be slower due to the overhead of importing a library. 2. **Custom implementation: `flew`**: * Pros: + No external dependencies (i.e., it's self-contained). + Can potentially be optimized for performance, as it's implemented in-house. * Cons: + Requires more code and maintenance effort compared to using a library. + May not be as clear or concise in its API. **Library: Lodash** Lodash is a popular JavaScript utility library that provides a wide range of functions for various tasks, including array manipulation, object manipulation, and functional programming utilities. The `_flow` function is part of this library and allows users to apply multiple functions in sequence to an initial value. **Custom implementation: `flew`** The custom implementation `flew` takes a list of functions as input and applies them in sequence to the initial value, using a similar approach to Lodash's `_flow`. However, it does not use any external dependencies (i.e., it's self-contained). **Special JS feature or syntax: None** This benchmark does not appear to use any special JavaScript features or syntax that would require additional explanation. **Other alternatives** If you wanted to write a similar benchmark, you could also explore other options, such as: 1. **Using a different library**: Other libraries, like Ramda or Liskov's functions, provide similar functionality for function chaining and may be worth considering. 2. **Implementing a custom function**: You could implement a custom function that applies multiple functions in sequence, potentially using a more efficient algorithm than the `flew` implementation. Keep in mind that the choice of approach depends on your specific use case, performance requirements, and personal preference.
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