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Obj.keys filter vs Obj.values reduce
(version: 0)
Comparing performance of:
reduce vs filter
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var INDICATOR = 'indicator'; var prunedInstances = { a: { state: { show: false }, id: 'boo' }, b: { state: { show: true, display: INDICATOR }, id: 'foo' }, c: { state: { show: true, display: INDICATOR }, id: 'fooC' }, d: { state: { show: true, display: INDICATOR }, id: 'fooD' }, e: { state: { show: false, display: INDICATOR }, id: 'fooE' }, }; var valsArr = Object.values(prunedInstances); var keysArr = Object.keys(prunedInstances);
Tests:
reduce
valsArr.reduce((acc, cur) => { if (cur.state.show && cur.state.display === INDICATOR) { return cur.id; } }, []);
filter
keysArr.filter((id) => { const instance = prunedInstances[id]; return instance.state.show && instance.state.display === INDICATOR; });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
reduce
filter
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 and explain what is tested in each benchmark. **Benchmark Definition** The first JSON represents the overall benchmark definition, which includes: * `Name`: The name of the benchmark ("Obj.keys filter vs Obj.values reduce"). * `Description`: An empty description field (not specified). * `Script Preparation Code`: A JavaScript code snippet that creates an object (`prunedInstances`) with various properties and values. This object is used as input for both test cases. * `Html Preparation Code`: An empty HTML preparation code field (not specified). **Individual Test Cases** The second JSON represents two individual test cases, each defined by: * `Benchmark Definition`: A JavaScript code snippet that performs a specific operation on the `prunedInstances` object. There are two test cases: 1. `reduce`: This test case uses the `Array.prototype.reduce()` method to iterate over the `valsArr` array (which contains values from the `prunedInstances` object) and returns the first element that meets a certain condition. 2. `filter`: This test case uses the `Array.prototype.filter()` method to filter the `keysArr` array (which contains keys from the `prunedInstances` object) based on a specific condition. **Libraries Used** In both test cases, the `Object.values()` and `Object.keys()` methods are used to extract values and keys from the `prunedInstances` object. These methods are built-in JavaScript functions that return arrays containing the values or keys of an object in a particular order. No external libraries are explicitly mentioned in the provided code snippets. **Special JS Features/Syntax** There is no mention of special JavaScript features or syntax (e.g., async/await, Promises) in the provided code snippets. **Pros and Cons of Different Approaches** The choice between using `reduce()` and `filter()` depends on the specific use case and performance requirements. Here are some general pros and cons of each approach: * `Reduce()`: + Pros: Can be more efficient for certain types of data (e.g., arrays with a small number of elements) since it only requires a single pass through the data. + Cons: Can be less intuitive and harder to read, especially for developers not familiar with this method. * `Filter()`: + Pros: Typically faster and more memory-efficient than `reduce()`, especially for large datasets. + Cons: Requires an extra step to iterate over the filtered results (in this case, using another `Array.prototype` method). **Other Alternatives** If `reduce()` or `filter()` are not suitable for your use case, other alternatives could be: * Using a custom loop with indexing and conditional statements. * Employing more advanced data structures like sets or maps to improve performance. Keep in mind that these alternatives may have different trade-offs in terms of readability, maintainability, and performance.
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