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[Object.entries after fixed] Reduce vs Looping vs Ifs vs Destructuring
(version: 0)
Comparing performance of:
Reduce vs Looping vs Ifs vs Destructuring
Created:
5 years ago
by:
Guest
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Script Preparation code:
var input = { foo: 'lorem', bar: 'ipsum', baz: null } var reduce = (itemsArray, callback, seed) => { let accumulator = seed; for (let i = 0; i < itemsArray.length; i += 1) { accumulator = callback(accumulator, itemsArray[i], i); } return accumulator; };
Tests:
Reduce
const keys = ['foo', 'bar', 'baz']; const setProperty = (acc, key, value) => value ? (acc[key] = value) && acc : acc; const result = keys.reduce((acc, key) => setProperty(acc, key, input[key]), {}); Object.entries(result).map( ([key, value]) => `data-analytics-view-custom-analytics-${key}="${value}"`, )
Looping
const keys = ['foo', 'bar', 'baz']; const setProperty = (acc, key, value) => value ? (acc[key] = value) && acc : acc; const result = reduce( keys, (acc, key) => setProperty(acc, key, input[key]), {} ); Object.entries(result).map( ([key, value]) => `data-analytics-view-custom-analytics-${key}="${value}"`, )
Ifs
const { foo, bar, baz } = input; const result = {}; if (foo) { result.foo = foo; } if (bar) { result.bar = bar; } if (baz) { result.baz = baz; } Object.entries(result).map( ([key, value]) => `data-analytics-view-custom-analytics-${key}="${value}"`, )
Destructuring
const { foo, bar, baz } = input; const result = { foo, bar, baz }; Object.entries(result).map( ([key, value]) => value ? `data-analytics-view-custom-analytics-${key}="${value}"` : '', )
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
Reduce
Looping
Ifs
Destructuring
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the benchmark and explain what's being tested, along with the pros and cons of each approach. **Benchmark Overview** The benchmark compares four different methods to iterate over an object's properties: 1. **Reduce**: uses the `reduce()` method to accumulate values from an array of key-value pairs. 2. **Looping**: uses a traditional `for` loop to iterate over the object's properties. 3. **Ifs**: uses conditional statements (`if-else`) to set properties based on object value presence. 4. **Destructuring**: uses destructuring assignment to create a new object with extracted values. **Benchmark Definition** The benchmark definition is in JSON format and includes: * `Name`: a descriptive name for the benchmark * `Description`: an empty string, which indicates no detailed description is provided * `Script Preparation Code`: a JavaScript function that sets up the input data (`input`) used throughout the benchmark * `Html Preparation Code`: an empty string, indicating no HTML setup is needed **Individual Test Cases** Each test case has a unique benchmark definition in JSON format, including: * A brief description of the test * The actual code to be executed for each test case These test cases are designed to execute the four different methods on the same input data. **Library Used: `reduce()` method** The `reduce()` method is used in two test cases (Reduce and Looping) as part of the benchmark. This method is a built-in JavaScript function that applies a reduction function to each element of an array, accumulating a value. Pros: * Efficient and concise way to process arrays * Built-in JavaScript function, reducing dependencies Cons: * May be slower than custom looping methods in certain cases (e.g., smaller arrays) * Requires understanding of the accumulator variable and callback functions **Special JS Feature/ Syntax: `Destructuring`** The "Destructuring" test case uses destructuring assignment to create a new object with extracted values. This feature is not specific to JavaScript, as it's a common programming concept, but in this context, it's used for benchmarking purposes. Pros: * Simplifies code and reduces the need for manual property assignments * Can be faster than traditional assignment methods Cons: * May require additional computations due to object creation and property access * Not all browsers may support or optimize destructuring correctly **Other Considerations** When interpreting these results, keep in mind that: * The benchmark is running on a specific JavaScript engine (Firefox 83) and platform (Windows 7 Desktop) * The input data (`input`) is fixed for each test case * Other factors like system load, network latency, or disk I/O may impact benchmark performance **Alternatives** Other approaches to iterate over an object's properties include: 1. `for...in` loop: uses a traditional loop with the `for...in` construct to access object properties. 2. `Object.keys()` and indexing: uses the `Object.keys()` method to get an array of property names, then uses indexing to access each property value. 3. Custom looping using `Array.prototype.forEach()`: uses the `forEach()` method from the Array prototype to process each property value. These alternatives may have different performance characteristics depending on the specific use case and environment.
Related benchmarks:
[Object.entries after] Reduce vs Looping vs Ifs vs Destructuring
[Object.entries after fixed] Reduce vs Looping vs Ifs vs Destructuring vs Object.entries
[Object.entries after fixed] Reduce vs Looping vs Ifs vs Destructuring vs Object.entries vs Single loop
[Object.entries after fixed] Reduce vs Looping vs Ifs vs Destructuring vs Object.entries vs Single loop vs Single reduce
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