Benchmark: memoized object assignment (new objects - flat) (moize.simple)

HTML Preparation code:


  <script src="https://cdn.jsdelivr.net/npm/memoize-one@5.1.1/dist/memoize-one.js"></script>
  <script src="https://cdn.jsdelivr.net/npm/moize@5.4.7/dist/moize.js"></script>

Script Preparation code:

var fn = function(a, b) {
  Object.assign(a, b);
}


var memoizeOneFn = window.memoizeOne(fn);
var moizeFn = window.moize.default.simple(fn);

var assignee = {a: 1};
var objToAssign = {foo: 'bar', bar: 'foo'};

Tests:

baseline
fn(assignee, {...objToAssign});
memoizeOne
memoizeOneFn(assignee, {...objToAssign});
moize
moizeFn(assignee, {...objToAssign})

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
baseline
memoizeOne
moize

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark measures the performance of different approaches to memoizing (caching) object assignments in JavaScript. Memoization is a technique used to improve the performance of functions by caching their results so that they can be reused instead of recalculated.

**Test Cases**

There are three test cases:

1. **Baseline**: This test case uses the standard JavaScript `Object.assign()` method to assign properties from an object (`objToAssign`) to another object (`assignee`). It serves as a baseline for comparison with other approaches.
2. **memoizeOne**: This test case uses the `memoizeOne` function from the `memoize-one` library (version 5.1.1). The `memoizeOne` function is a higher-order function that wraps another function, caching its results and reusing them to improve performance.
3. **moize**: This test case uses the `simple` function from the `moize` library (version 5.4.7), which also provides memoization capabilities.

**Options Compared**

The three options being compared are:

* **Baseline**: No optimization or caching is applied, using the standard JavaScript `Object.assign()` method.
* **memoizeOne**: The `memoizeOne` function from the `memoize-one` library wraps the original function, caching its results and reusing them to improve performance.
* **moize**: The `simple` function from the `moize` library also provides memoization capabilities.

**Pros and Cons**

Here are some pros and cons for each approach:

* **Baseline (no optimization)**:
	+ Pros: Easy to implement, no additional dependencies required.
	+ Cons: May be slow due to the overhead of recalculating properties.
* **memoizeOne**: 
	+ Pros: Efficient caching mechanism, reduces number of function calls.
	+ Cons: Requires an external library dependency (memoize-one).
* **moize**:
	+ Pros: Similar caching mechanism to memoizeOne, but potentially more efficient due to optimized implementation.
	+ Cons: Requires an external library dependency (moize).

**Library Descriptions**

* `memoize-one`: A JavaScript library that provides a simple and efficient way to memoize functions. It wraps the original function, caching its results and reusing them to improve performance.
* `moize`: A JavaScript library that provides a lightweight and flexible way to memoize functions. The `simple` function is designed for use cases where only one argument needs to be cached.

**Other Considerations**

* **Performance Overhead**: All three approaches have some overhead due to the caching mechanism, which may affect performance in certain scenarios.
* **Memory Usage**: The `memoizeOne` and `moize` approaches may have slightly higher memory usage due to the caching of function results.
* **Implementation Complexity**: While the baseline approach is simple, the `memoizeOne` and `moize` approaches require additional setup and understanding of the underlying caching mechanism.

**Alternatives**

Other alternatives for memoization in JavaScript include:

* Using a library like Lodash or Underscore.js, which provide built-in memoization functions.
* Implementing manual caching using a simple object to store results.
* Using a Just-In-Time (JIT) compiler or a dynamic import mechanism to optimize performance.

Related benchmarks:

memoized object assignment (new objects - flat) (moize.simple) (version: 0)

Comparing performance of: baseline vs memoizeOne vs moize

Created: 5 years ago by: Registered User

Jump to the latest result

baseline

memoizeOne

moize

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):