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for loop vs array find
(version: 1)
Comparing performance of:
For loop vs Array loop
Created:
7 years ago
by:
Registered User
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>
Script Preparation code:
var a = 1 var b = [0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,0,2,3,4,5,6,7,8,9,1]
Tests:
For loop
var c for(i=0; i < b.length; i++){ if(b[i] === a) { c = b[i]; break; } }
Array loop
var c function test(value) { return value === a } c = b.find(test) console.log('c: ', c)
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
Array loop
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.1:latest
, generated one year ago):
Let's break down the benchmark test case. **Benchmark Definition** The benchmark is testing the performance of two different approaches to find an element in an array: 1. Using a `for` loop 2. Using the `find()` method provided by the Lodash library (which is imported via `script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'`) **Individual Test Cases** The two test cases are: 1. **For Loop**: This test case uses a traditional `for` loop to iterate through the array and find the element `a`. The loop breaks when it finds the first occurrence of `a`. 2. **Array Loop (using Lodash)**: This test case uses the `find()` method from the Lodash library to find the element `a` in the array. **Latest Benchmark Result** The benchmark result shows that: * Using a `for` loop takes approximately 6146 executions per second. * Using the `find()` method takes approximately 15984 executions per second, which is about 2.6 times faster than the `for` loop approach. **What's Being Tested?** In this test case, we're measuring the performance of two different approaches to find an element in an array: 1. **For Loop**: This approach iterates through the entire array using a traditional `for` loop, which can be slow for large arrays. 2. **Array Find (using Lodash)**: This approach uses the `find()` method from the Lodash library, which provides a more efficient way to find an element in an array. **Pros and Cons** * **For Loop**: Pros: simple, easy to implement; Cons: can be slow for large arrays. * **Array Find (using Lodash)**: Pros: faster than `for` loop, especially for large arrays; Cons: requires the Lodash library, which adds overhead. **Other Considerations** When choosing between these two approaches, consider the following factors: 1. **Performance**: If performance is critical, use the `find()` method. 2. **Array size**: If the array is small (e.g., fewer than 100 elements), a `for` loop might be sufficient. 3. **Additional overhead**: Remember that using the Lodash library adds some overhead, which may not be significant for small arrays but could matter for very large ones. **Alternatives** Other alternatives to consider when searching an array include: 1. **Filter() method**: Similar to `find()` but returns all elements matching the condition. 2. **Some() method**: Returns `true` if at least one element matches the condition. 3. **Every() method**: Returns `true` if all elements match the condition. These methods can also be used with or without a library, and their performance might vary depending on the specific use case.
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