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flat() vs reduce/concat()
(version: 2)
Compare the .flat() method with the .concat() method in .reduce()
Comparing performance of:
reduce + concat vs flat
Created:
4 years ago
by:
Registered User
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Script Preparation code:
var params = [[ 1, 2 ], [ "hello", true, 7 ]];
Tests:
reduce + concat
params.reduce((acc, val) => acc.concat(val), []);
flat
params.flat();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
reduce + concat
flat
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 provided benchmark JSON and explain what's being tested. **Benchmark Description** The test compares two approaches to flatten an array of arrays in JavaScript: the `flat()` method versus the `concat()` method within the `reduce()` function. **Script Preparation Code** The script preparation code defines a variable `params` with an array of arrays: ```javascript var params = [[ 1, 2 ], [ "hello", true, 7 )); ``` This is just a setup for the benchmarking process and doesn't affect the actual test. **Html Preparation Code** There's no HTML preparation code provided, which means this benchmark is focusing solely on JavaScript performance and doesn't involve any HTML rendering or DOM manipulation. **Individual Test Cases** The benchmark consists of two individual test cases: 1. `reduce + concat`: This test uses the `reduce()` function to concatenate all elements in each sub-array using `concat()`. 2. `flat`: This test uses the `flat()` method to flatten the array of arrays directly. **Libraries and Special JS Features** There are no libraries mentioned, as this benchmark is focusing on native JavaScript methods. **Test Case Interpretation** In the first test case (`reduce + concat`), the `reduce()` function is used to iterate over each sub-array in `params`, concatenating all elements using `concat()`. The initial accumulator (`acc`) starts empty (`[]`). The second test case (`flat`) uses the `flat()` method, which returns a new array with all sub-arrays flattened. **Pros and Cons of Each Approach** 1. **Reduce + Concat**: This approach can be more flexible since it allows for any iteration logic using the `reduce()` function. * Pros: More control over the iteration process. * Cons: Can lead to higher overhead due to the function call overhead and repeated concatenations. 2. **Flat**: The `flat()` method is a concise and efficient way to flatten arrays, with less overhead compared to `concat()`. * Pros: Faster execution, less memory allocation. * Cons: Less control over the iteration process. **Other Considerations** The test doesn't consider factors like: * The size of the input array * The distribution of elements in each sub-array (e.g., if some arrays contain many large values) * Any potential performance impact from other operations happening concurrently **Alternatives to Native Methods** If you need more control or flexibility, you could consider using other methods or libraries, such as: * `Array.prototype.flat.call()`: This method is similar to `flat()` but can be called on any array, not just native arrays. * `Array.prototype.map().flat()`: This approach flattens an array of arrays by mapping each element to an array and then flatting the result. * Third-party libraries like `lodash` or `ramda`, which provide additional functional programming utilities. However, for simple cases where performance is crucial, the native methods (`flat()` and `concat()`) are usually sufficient.
Related benchmarks:
reduce.concat() vs flat()
reduce + concat() vs flat()
reduce vs flat() test
flat() vs reduce.concat()
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