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if vs noop
(version: 0)
Benchmark.js
Comparing performance of:
if vs noop vs noop arrow
Created:
9 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var undef = undefined; var noop = function noop(){}; var noopArrow = () => {};
Tests:
if
if (undef) { undef(); }
noop
noop();
noop arrow
noopArrow();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
if
noop
noop arrow
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one year ago
)
User agent:
Mozilla/5.0 (X11; Linux x86_64; rv:138.0) Gecko/20100101 Firefox/138.0
Browser/OS:
Firefox 138 on Linux
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=616581" width="100%" height="500px"></iframe>
if
799.9M/s
noop
744.0M/s
noop arrow
632.1M/s
View exact numbers
Test name
Executions per second
✓
if
799,914,048 Ops/sec
noop
744,041,280 Ops/sec
noop arrow
632,146,688 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is crucial for optimizing and improving the efficiency of code. Let's break down the provided benchmark JSON and explain what's being tested, compared, and the pros/cons of each approach. **Benchmark Definition** The benchmark definition provides three options: 1. `if (undef) { undef(); }`: This option tests the execution time of an `if` statement with a condition that always evaluates to `true`. The presence or absence of the `undef` variable doesn't affect the outcome, making it a simple and controlled test. 2. `noop()`: No operation is performed in this case, as the function does nothing. This test measures the overhead of calling an empty function. 3. `noopArrow()`: Similar to `noop()`, but using an arrow function syntax (`() => {}`). Arrow functions are a concise way to define small functions. **Pros and Cons** 1. **`if (undef) { undef(); }`**: * Pros: Simple, controlled test that isolates the effect of branching. * Cons: May not accurately represent real-world scenarios where branching is more complex. 2. **`noop()`**: * Pros: Measures function call overhead, useful for optimizing function calls. * Cons: Doesn't account for any potential benefits of calling an empty function (e.g., avoiding stack size issues). 3. **`noopArrow()`**: * Pros: Similar to `noop()`, but with the added benefit of being more concise and readable. * Cons: May not be supported in older browsers or environments. **Library: Underscore.js** In the provided benchmark, a library called Underscore.js is used. Specifically, the `_.isUndefined` function is utilized to set the value of `undef`. The purpose of this function is to check if a value is undefined, which helps ensure that the `if` statement condition always evaluates to `true`. **Special JS Feature: Arrow Functions** The use of arrow functions (`() => {}`) in `noopArrow()` and some modern JavaScript code provides a concise way to define small, one-time-use functions. This feature was introduced in ECMAScript 2015 (ES6) and has since become widely adopted. In the context of this benchmark, using an arrow function for `noop` is equivalent to using a regular function expression (`var noop = function() {}`). The main difference is that arrow functions are more concise and don't require the use of `this` or `arguments` binding. **Other Alternatives** Some alternative approaches to measuring JavaScript performance include: 1. **Benchmarks with complex scenarios**: Instead of using simple conditions, benchmarks can simulate real-world scenarios with multiple variables, loops, and conditional statements. 2. **Multi-threaded or parallel processing**: Measures the performance of concurrent execution by running multiple threads or processes simultaneously. 3. **WebAssembly (WASM) benchmarks**: Optimizes JavaScript code for WebAssembly compilation, allowing for faster execution on a wider range of platforms. In conclusion, this benchmark provides valuable insights into the performance implications of using `if` statements with undefined conditions, no-op functions, and arrow function syntax in modern JavaScript. By understanding these factors, developers can optimize their code for better performance and efficiency.
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