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my map vs for loop
(version: 0)
Comparing performance of:
for loop vs map
Created:
3 years ago
by:
Registered User
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Script Preparation code:
var list=[ {name: 'terry', clubs: {morning: "science", evening: "math"} }, {name: 'torry', clubs: {morning: "farm", evening: "3test"}}, {name: 'tori', clubs: {morning: "social", evening: "test2"}}, {name: 'teri', clubs: {morning: "home", evening: "test"}}, {name: '', clubs: {morning: "sports", evening: "fitness"}} ] var listItems = []
Tests:
for loop
const test = (item) => item.name function testLoop(list) { for(let i = 0; i < list.length; i++){ listItems.push(test(list[i])) } return listItems } console.log(testLoop(list))
map
listItems = list.map((item) => item.name) console.log(listItems)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
for loop
map
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
**Benchmark Explanation** The provided JSON represents a JavaScript microbenchmark test case on MeasureThat.net. The benchmark compares the performance of two approaches: using a `for` loop and using the `map()` method. **Test Case 1: For Loop** The first test case uses a `for` loop to iterate through an array and push the values into another array called `listItems`. Here's a breakdown of what's being tested: * The `for` loop iterates through the original array (`list`) using a traditional `for` loop syntax. * Inside the loop, a function is called with each item from the original array as an argument. This function simply returns the `name` property of the object. * The results are pushed into the `listItems` array. **Test Case 2: Map** The second test case uses the `map()` method to achieve the same result in a more concise way. Here's what's being tested: * The `map()` method is called on the original array (`list`) with an arrow function as its callback. * The arrow function takes each item from the original array and returns its `name` property. * The results are collected into a new array called `listItems`. **Comparison and Pros/Cons** Both approaches have their pros and cons: * **For Loop**: Traditional loop syntax can be easier to understand for some developers. However, it's more verbose and may lead to performance issues due to the overhead of the loop variables. * **Map**: The `map()` method is concise and expressive, making it a popular choice among developers. It's also generally faster and more memory-efficient since it uses a specialized optimized algorithm. **Other Considerations** When choosing between these two approaches, consider the following factors: * Readability: If code readability is crucial, the `for` loop might be a better choice. * Performance: If performance is critical, the `map()` method is likely a better option. * Memory usage: The `map()` method may use less memory since it avoids creating an extra array for the loop variables. **Library and Special JS Features** There are no libraries mentioned in this benchmark. However, if you're interested in exploring other libraries or techniques, some popular alternatives to `map()` include: * `forEach()`: Similar to `map()`, but doesn't return a new array. * `reduce()`: A more complex method for transforming arrays, often used for aggregating values. No special JS features are mentioned in this benchmark. If you'd like to explore other features, some notable ones include async/await, Promises, and Web Workers. **Alternatives** If you're interested in exploring alternative approaches or libraries, here are a few options: * **Array.prototype.reduce()**: A method for aggregating values within an array. * **Array.prototype.forEach()`: A method for iterating through an array without modifying it. * **Lodash**: A popular utility library that includes functions for working with arrays, including `map()`, `forEach()`, and more. * **Ramda**: Another functional programming library that includes methods like `map()` and `forEach()`. These alternatives can provide more concise or expressive ways to work with arrays, but may also introduce additional dependencies or learning curves.
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