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InAndOutScope
(version: 0)
Comparing performance of:
in vs out
Created:
9 years ago
by:
Guest
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Script Preparation code:
var DefaultWastageType; DefaultWastageType = (function() { function DefaultWastageType() {} DefaultWastageType.get = function() { return 5; }; return DefaultWastageType; })();
Tests:
in
var x = function(types) { return types.find(function(type) { var defaultId; defaultId = DefaultWastageType.get(); return type.wastageTypeId = defaultId && (type.isPrimary = true); }); }; x([ { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 5 } ]);
out
var x = function(types) { var defaultId; defaultId = DefaultWastageType.get(); return types.find(function(type) { return type.wastageTypeId = defaultId && (type.isPrimary = true); }); } x([ { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 1 }, { wastageTypeId: 5 } ]);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
in
out
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 benchmark and explain what's being tested. **Benchmark Definition** The benchmark is defined by two test cases, each with its own script preparation code and HTML preparation code (which is empty in this case). The scripts use a function called `x` that takes an array of objects as input. Each object has a property called `wastageTypeId`. **Script Preparation Code** The script preparation code defines a function called `DefaultWastageType` that returns an object with two properties: `get`, which returns the value `5`, and another property that is not used in the benchmark. **Test Cases** There are two test cases: 1. **"in"`**: This test case uses the `x` function to find an element in the input array that has a matching `wastageTypeId` (which is set to `defaultId`) and a corresponding property called `isPrimary` set to `true`. The `defaultId` value comes from the `DefaultWastageType.get()` method. 2. **"out"`**: This test case is similar to the "in" test case, but it doesn't use the `DefaultWastageType.get()` method to retrieve the `defaultId` value. **Library** The `DefaultWastageType` function uses a technique called an Immediately Invoked Function Expression (IIFE) to create a closure that returns the `get` property. The `wastageTypeId` property is likely related to some kind of data processing or filtering logic, but its exact purpose depends on the context in which this code is used. **JavaScript Features** There are no special JavaScript features mentioned in the benchmark definition. **Options Compared** The two test cases differ only in whether they use the `DefaultWastageType.get()` method to retrieve the `defaultId` value. In the "in" test case, this method is called before finding the matching element, while in the "out" test case, it's not used at all. **Pros and Cons** * **Using `DefaultWastageType.get()`**: This approach might be considered more explicit or readable, as it clearly communicates the intention of retrieving a default value. + Pros: Easier to understand, more maintainable code + Cons: Might introduce unnecessary overhead or dependencies if not needed in all cases * **Not using `DefaultWastageType.get()`**: This approach might be considered more concise or optimized for performance, as it avoids the function call and returns the value directly. + Pros: Faster execution, potentially more efficient code + Cons: Might make the code less readable or maintainable, especially if not properly documented **Other Considerations** The benchmark definition uses a custom `wastageTypeId` property to filter elements in the input array. The exact purpose of this property depends on the context in which this code is used. It's also worth noting that the benchmark results are reported for each test case separately, with different execution counts and frequencies per second. This might suggest that the two test cases have different performance characteristics or optimization opportunities. **Alternatives** If you were to rewrite this benchmark using a different approach, here are some possible alternatives: * Use a more concise and optimized version of the `x` function that eliminates the need for the `DefaultWastageType.get()` method. * Consider using a different data structure or filtering algorithm that reduces the number of operations required to find matching elements. * Experiment with other optimization techniques, such as caching or memoization, depending on the specific requirements and constraints of the use case.
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