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Object to Arrays
(version: 0)
Converts object to array.
Comparing performance of:
Current Method vs Optimized Method
Created:
6 years ago
by:
Guest
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HTML Preparation code:
<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>
Script Preparation code:
function obj2Array2(obj, prefix) { var arr = []; _.forIn(obj, function (value, key) { if (_.isObject(value) && !_.isEmpty(value)) { arr = _.concat(arr, obj2Array2(value, key)); } else { arr.push(key); try { arr.push(JSON.stringify(value)); } catch (e) { arr.push(value); } } }); if (_.isString(prefix) && !_.isEmpty(prefix)) { return _.map(arr, function (arg, index) { if (index % 2 === 0) { return `${prefix}.${arg}`; } return arg; }); } return arr; } function obj2Array (object, prefix) { var arr = []; _.forIn(object, function (value, key) { if (_.isObject(value) && !_.isEmpty(value)) { let prefixedKey = (prefix && `${prefix}.${key}`) || key, returnedArray = obj2Array(value, prefixedKey); arr = arr.concat(returnedArray); return; } arr.push((prefix && `${prefix}.${key}`) || key); arr.push(JSON.stringify(value)); }); return arr; } var objToTest = { user: { id: 123, data: { username: 'marvin', email: 'marvin@heartofgold.ship' }, tags: ['robot', 'depressed', 'brain the size of a planet'] } }
Tests:
Current Method
obj2Array2(objToTest);
Optimized Method
obj2Array(objToTest);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Current Method
Optimized Method
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of JavaScript microbenchmarks like this one can be quite fascinating. The benchmark in question measures the time it takes to convert an object into an array using two different methods: `obj2Array2` and `obj2Array`. **Method 1: obj2Array2** This method uses the Lodash library, which is a utility library for functional programming in JavaScript. The specific function being tested is `_.forIn`, which performs an iteration over an object's properties. Here are some pros and cons of this approach: Pros: * Easy to read and understand, with clear variable names and a simple structure. * Leverages the power of Lodash for iterating over objects, reducing boilerplate code. Cons: * Additional overhead due to the dependency on Lodash, which may not be present in all environments. * The use of `_.concat` and `_.map` can create temporary arrays, potentially impacting performance. **Method 2: obj2Array** This method also uses the Lodash library, specifically `_.forIn`. Here are some pros and cons: Pros: * Similar to obj2Array2 in terms of readability and structure. * Avoids creating temporary arrays using `concat` and instead pushes elements directly onto the array. Cons: * The return statement at the end of the function can be misleading, as it returns `arr` but actually modifies it in place. * The variable name `returnedArray` could be more descriptive. **Library Considerations** The Lodash library is widely used and well-maintained, making it a good choice for this benchmark. However, its presence adds an additional layer of complexity and potential overhead. **Special JavaScript Features/ Syntax** This benchmark does not explicitly use any special JavaScript features or syntax that would affect the execution of the code. However, the use of Lodash libraries can impact the overall performance of the benchmark. **Other Alternatives** If you were to rewrite this benchmark using vanilla JavaScript without relying on external libraries like Lodash, it might look something like this: ```javascript function obj2Array(obj) { const arr = []; for (const key in obj) { if (typeof obj[key] === 'object' && Object.keys(obj[key]).length > 0) { obj2Array(obj[key]); arr.push(key); } else { arr.push((obj[key] instanceof String) ? JSON.stringify(obj[key]) : obj[key]); } } return arr; } // Example usage: const objToTest = { ... }; console.log(obj2Array(objToTest)); ``` This implementation uses the `for...in` loop and checks for object properties with a length greater than 0 to ensure we don't end up in an infinite recursion. However, it still has the overhead of stringifying values when necessary. In conclusion, this benchmark provides a good example of how two different approaches can be compared in terms of performance, highlighting the trade-offs between using external libraries like Lodash and relying on vanilla JavaScript.
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