Benchmark: partition (ramda vs custom impl)1

HTML Preparation code:

<script src="//cdnjs.cloudflare.com/ajax/libs/ramda/0.25.0/ramda.min.js"></script>

Script Preparation code:

function is(n,r){return 1===arguments.length?function(r){return is(n,r)}:null!=r&&r.constructor===n||r instanceof n}

function partitionR(n,r){if(1===arguments.length)return function(r){return partition(n,r)};var t=is(Array,r);t||Object.keys(r);return t?r.reduce(function(r,t){return r[n(t)?0:1].push(t),r},[[],[]]):Object.keys(r).reduce(function(t,e){var u=r[e];return t[n(u)?0:1][e]=u,t},[{},{}])}

function partition(r,t){if(1===arguments.length)return function(t){return partition(r,t)};if(is(Array,t)){for(var n=[[],[]],e=0,i=t.length;e<i;e++){var a=t[e];n[r(a)?0:1].push(a)}return n}n=[{},{}];var u=Object.keys(t);for(e=0,i=u.length;e<i;e++){var f=u[e];a=t[f];n[r(a)?0:1][f]=a}return n}

var data = [...Array(3000)].map((v, i) => i)
var mod = x => x % 3 === 0

Tests:

ramda
R.partition(mod, data)
custom impl (reduce)
partitionR(mod, data)
custom impl (for)
partition(mod, data)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
ramda
custom impl (reduce)
custom impl (for)

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the provided JSON and explain what is being tested.

**Benchmark Definition**

The benchmark definition represents the logic to be executed by MeasureThat.net. It consists of two main parts:

1. **Script Preparation Code**: This section provides the JavaScript code that prepares the test environment. In this case, it defines three functions:
	* `is(n, r)`: A utility function that checks if a value is an instance of a given constructor or class.
	* `partitionR(n, r)`: An implementation of the `partition` function using the `reduce` method.
	* `partition(r, t)`: Another implementation of the `partition` function using the `for` loop.
2. **Html Preparation Code**: This section provides a script tag that loads the Ramda library, which is used by the `partitionR(n, r)` implementation.

**Individual Test Cases**

The benchmark definition includes three test cases:

1. **Ramda Implementation (`partition(mod, data)`)**: This test case uses the `partition` function from the Ramda library with a custom modulo operation (`mod`).
2. **Custom Implementation (Reduce) (`partitionR(mod, data)`)**: This test case uses the `partitionR` function, which implements the `partition` function using the `reduce` method.
3. **Custom Implementation (For) (`partition(mod, data)`)**: This test case uses a custom implementation of the `partition` function using the `for` loop.

**Library and Purpose**

The Ramda library is used in the benchmark definition to provide a reference implementation for the `partition` function. The library provides a concise and expressive way to perform functional programming tasks, including partitioning.

**Special JS Features or Syntax**

There are no special JavaScript features or syntax mentioned in this benchmark definition. However, it's worth noting that the use of `const` and `let` declarations is not explicitly mentioned, but they can be assumed based on modern JavaScript standards.

**Pros and Cons of Each Approach**

Here's a brief summary of the pros and cons of each approach:

1. **Ramda Implementation (`partition(mod, data)`)**:
	* Pros: Efficient and concise implementation using functional programming principles.
	* Cons: Requires loading an external library (Ramda) and may have dependencies on other libraries or frameworks.
2. **Custom Implementation (Reduce) (`partitionR(mod, data)`)**:
	* Pros: Self-contained implementation that doesn't rely on external libraries, making it more portable.
	* Cons: May be less efficient or concise compared to the Ramda implementation, depending on the specific use case.
3. **Custom Implementation (For) (`partition(mod, data)`)**:
	* Pros: Provides a simple and straightforward implementation using a traditional loop-based approach.
	* Cons: May be less efficient or readable compared to the other two implementations, especially for larger datasets.

**Other Alternatives**

If you need to implement a partition function in JavaScript without relying on external libraries like Ramda, here are some alternative approaches:

1. **Using `Array.prototype.filter()`**: This approach uses the `filter` method to create two arrays based on the condition.
2. **Using `Array.prototype.reduce()`**: Similar to the custom implementation using `reduce`, but with a more concise syntax.
3. **Using a traditional loop-based approach**: As seen in the custom implementation (For), this approach involves iterating over each element and applying the partitioning logic.

These alternatives may offer different trade-offs in terms of performance, readability, and maintainability, depending on your specific use case.

Related benchmarks:

partition (ramda vs custom impl)1 (version: 1)

Comparing performance of: ramda vs custom impl (reduce) vs custom impl (for)

Created: 7 years ago by: Registered User

Jump to the latest result

ramda

custom impl (reduce)

custom impl (for)

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):