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rest args vs arguments, spread vs apply (2)
(version: 0)
Comparing performance of:
rest args spread vs rest args apply vs arguments spread vs arguments apply
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
let c1 = 0; function f1() { 'use strict'; c1++; } let c2 = 0; function f2() { 'use strict'; c2++; } let c3 = 0; function f3() { 'use strict'; c3++; } let c4 = 0; function f4() { 'use strict'; c4++; } function testRestArgsSpread(...args) { f1(...args); } function testRestArgsApply(...args) { f2.apply(undefined, args); } function testArgumentsSpread() { f3(...arguments); } function testArgumentsApply() { f4.apply(undefined, arguments); }
Tests:
rest args spread
testRestArgsSpread('a', 1, 'b', 2, 'c', 3);
rest args apply
testRestArgsApply('a', 1, 'b', 2, 'c', 3);
arguments spread
testArgumentsSpread('a', 1, 'b', 2, 'c', 3);
arguments apply
testArgumentsApply('a', 1, 'b', 2, 'c', 3);
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
rest args spread
rest args apply
arguments spread
arguments apply
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 is being tested. **Benchmark Definition** The benchmark measures the performance of three different approaches to pass arguments to functions in JavaScript: 1. **Rest Args (Spread)**: Using the rest parameter syntax (`...args`) to pass an array of values as a single argument. 2. **Arguments.apply()**: Using the `apply()` method to call a function with an array of values as its first argument. The benchmark also includes two additional test cases: 3. **Arguments Spread**: Using the `arguments` object to access an array of values passed to a function. 4. **Arguments.apply()**: Using the `apply()` method to call a function with the `arguments` object as its first argument. **Options Compared** We have four options being compared in this benchmark: * Rest Args (Spread) * Arguments.apply() * Arguments Spread * Arguments.apply() These options are used in different test cases, and their performance is measured. **Pros and Cons of Each Approach** Here's a brief summary of the pros and cons of each approach: 1. **Rest Args (Spread)**: * Pros: Readable, concise syntax; easy to understand. * Cons: Can lead to ambiguity if not used carefully; may not be compatible with older browsers. 2. **Arguments.apply()**: * Pros: Widely supported across browsers; can be used in older JavaScript versions. * Cons: Less readable and more verbose than rest args; requires calling `apply()` explicitly. 3. **Arguments Spread**: * Pros: Can be used in combination with other approaches (e.g., rest args); concise syntax. * Cons: May not be as readable as rest args; less widely supported across browsers. 4. **Arguments.apply() (again)**: * Same pros and cons as above, but with the additional consideration that it's being tested again for comparison. **Libraries Used** There is no explicit library mentioned in the benchmark definition or test cases. However, some libraries may be indirectly involved due to browser-specific features: 1. **Chrome Browser**: The benchmark uses Chrome 114 as the target browser, which includes modern JavaScript features and APIs. 2. **Gecko Engine (Safari)**: Safari is a variant of the Gecko engine, which powers Chrome on macOS. **Special JS Features or Syntax** The benchmark uses the following special features or syntax: 1. `...args` (rest parameter syntax) in test cases 1-4 2. `arguments` object in test cases 3 and 4 3. `apply()` method in test cases 1-4 Note that the use of `let` and arrow functions (`=>`) is not explicitly mentioned, but they are implied due to the syntax used in the benchmark definition. **Alternatives** Other alternatives for passing arguments to functions in JavaScript include: 1. **Callback Functions**: Using a separate function as an argument to be called by the main function. 2. **Function Composition**: Breaking down complex functions into smaller, reusable components using function composition techniques. 3. **Higher-Order Functions**: Using functions that take other functions as arguments or return functions as output. These alternatives may have different performance characteristics and trade-offs compared to the approaches tested in this benchmark.
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