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newing objects vs calculation2
(version: 1)
Comparing performance of:
copy object vs evaluate condition
Created:
3 years ago
by:
Registered User
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Tests:
copy object
var x = { a: "foo", b: "bar", c: "baz" }; var deps = ["a", "b", "c"]; const extractDependencyValues = (dependencies, allFieldValues, fieldId) => { let result = {}; if (!dependencies) return {}; dependencies .filter(dependencyFieldId => allFieldValues[dependencyFieldId]) .forEach(fieldId => { // @ts-ignore result[fieldId] = allFieldValues[fieldId]; }); return result; } extractDependencyValues(deps, x, "foo");
evaluate condition
function evaluateSingleValue(conditionValue, dependencyValue, operator) { let result; switch (operator) { case "EQUALS": result = dependencyValue === conditionValue; break; case "NOT_EQUALS": result = dependencyValue !== conditionValue; break; default: result = false; } return result; } function isConditionMatched(dependencyName, condition, dependencyValues) { const operator = condition.operator; let dependencyValue = dependencyValues && dependencyValues[dependencyName]; // if (dependencyValue instanceof Array && dependencyValue.length === 0) { // dependencyValue = undefined; // } return evaluateSingleValue(condition.value, dependencyValue, operator); } function evaluateConditions(valuesWithConditions, dependencyValues) { let result = undefined; for (let i = 0; i < valuesWithConditions.length; i++) { const valueWithConditions = valuesWithConditions[i]; const found = Object.getOwnPropertyNames( valueWithConditions.conditionsMap ).every(key => { return valueWithConditions.conditionsMap[key].some((condition) => isConditionMatched(key, condition, dependencyValues) ); }); if (found) { result = valueWithConditions.value; break; } } return result; } var valueWithConditions = [ { "value": false, "conditionsMap": { "a": [ { "value": "foo", "operator": "EQUALS" } ], "b": [ { "value": "bar", "operator": "EQUALS" } ] } } ]; evaluateConditions(valueWithConditions, {a: "foo", b: "bar"});
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Test case name
Result
copy object
evaluate condition
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 and explain what is being tested. **Benchmark Name:** newing objects vs calculation2 **Description:** This benchmark compares the performance of creating new objects versus using a different approach (calculation2). **Options compared:** 1. **New object creation**: Creating an object from scratch, e.g., `var x = {a: 'foo', b: 'bar', c: 'baz'};`. 2. **Calculation2**: The second approach is not explicitly defined in the benchmark definition JSON, but based on the individual test cases, it appears to be a custom implementation of object extraction. **Pros and Cons:** * **New object creation**: Pros: + Simple and straightforward. + Easy to understand and maintain. * Cons: + May incur overhead due to object creation and garbage collection. * **Calculation2**: Pros: + Optimized for specific use cases, potentially leading to better performance. + May reduce memory allocation and deallocation overhead. Cons: * Complex implementation, making it harder to understand and maintain. **Library usage:** None. **Special JS features or syntax:** There are no notable special features or syntax used in this benchmark. The code appears to be standard JavaScript, with no ES6+ features or experimental APIs being used. **Other considerations:** * Memory allocation and deallocation overhead may be significant in this benchmark. * Cache locality might play a role in the performance difference between new object creation and Calculation2. * The test cases are designed to measure the performance of specific operations (copying objects and evaluating conditions), which might not accurately reflect real-world scenarios. **Alternatives:** 1. **Using built-in object methods**: JavaScript provides built-in methods like `Object.assign()` or `Object.create()`, which might be faster than creating new objects from scratch. 2. **Custom implementation with caching**: Optimizing Calculation2 by using caching or memoization techniques to reduce the number of iterations and improve performance. 3. **Using a different data structure**: Exploring alternative data structures, like arrays or linked lists, that might offer better performance for specific use cases. Keep in mind that this is just an analysis based on the provided benchmark definition and individual test cases. The actual implementation and context of the benchmark might lead to different conclusions.
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