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(version: 0)
higher order function vs simple function perf check
Comparing performance of:
simple function vs higher order function
Created:
5 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var artifacts = { getById: () => [] }
Tests:
simple function
const createFlattenr = (artifacts) => { const getDependencies = (artifactId) => artifacts.getById(artifactId); return (artifactId) => { return [ ...getDependencies(artifactId) ] } } const flatten = createFlattenr(artifacts) for(var i = 0; i < 100; i++) { flatten(i) }
higher order function
const flatten = (artifacts, artifactId) => { const getDependencies = (artifactId) =>{ return artifacts.getById(artifactId); } return [ ...getDependencies(artifactId) ] } for(var i = 0; i < 100; i++) { flatten(artifacts, i) }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
simple function
higher order function
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 benchmarking test cases and analyze what's being tested. **Overview** The benchmark tests two different approaches to performance comparison: simple functions vs higher-order functions in JavaScript. **Test Case 1: Simple Function** The first test case, "simple function," defines a plain JavaScript function `flatten` that takes an argument `i`. This function returns an array containing the result of calling itself with the same argument. The test case then calls this function 100 times using a `for` loop. **Test Case 2: Higher-Order Function** The second test case, "higher order function," defines another JavaScript function `flatten` that takes two arguments: `artifacts` and `artifactId`. This function returns a new function that takes only one argument. The returned function calls the original function with the `artifactId` argument and returns an array containing its result. **Library and Purpose** The test cases use a library called "artifacts" which is not explicitly mentioned in the JSON data, but it's likely a mock object used to simulate some external dependency. The purpose of this library is unclear without more context, but it seems to provide a way to access some external resource (e.g., a database or API) using a specific ID (`artifactId`). **Special JS Features and Syntax** There are no notable special JavaScript features or syntax being tested in these benchmark cases. **Comparison Options** The test case compares two approaches: 1. **Simple Function**: A plain, self-contained function that performs the desired operation. 2. **Higher-Order Function**: A function that returns another function, which can be used to implement the desired behavior. **Pros and Cons of Each Approach** **Simple Function:** Pros: * Easy to understand and maintain * Can be optimized for performance using techniques like memoization or caching Cons: * May not be flexible enough to handle changing requirements * Can lead to tight coupling between functions, making it harder to test and maintain **Higher-Order Function:** Pros: * Highly flexible and can be used to implement complex behaviors * Can reduce code duplication and improve reusability Cons: * May introduce additional overhead due to function creation and binding * Can make the code more difficult to understand and debug **Other Considerations** When choosing between these approaches, consider the following factors: * **Performance requirements**: If speed is a critical factor, simple functions might be a better choice. However, if flexibility and reusability are more important, higher-order functions could be a better fit. * **Code maintainability and readability**: Simple functions tend to be easier to understand and maintain. Higher-order functions can introduce additional complexity and abstraction, which may impact code readability. **Alternatives** Other approaches to benchmarking JavaScript performance include: 1. **Micro- benchmarks**: Using libraries like MicroBenchmark or Benchmark.js to create smaller, more focused benchmarks. 2. **Faster.js**: A library that helps you write faster, more efficient JavaScript code by providing a set of optimization techniques and guidelines. 3. **Profiling tools**: Using built-in profiling tools, such as Chrome DevTools or Node.js Inspector, to analyze the performance characteristics of your code. These alternatives can provide additional insights into performance bottlenecks and help you identify areas for improvement in your codebase.
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