Metadata-Version: 2.4
Name: swarmauri_distance_minkowski
Version: 0.10.0.dev4
Summary: Minkowski Distance for Swarmauri.
License-Expression: Apache-2.0
License-File: LICENSE
Keywords: swarmauri,sdk,standards,distance,minkowski
Author: Jacob Stewart
Author-email: jacob@swarmauri.com
Requires-Python: >=3.10,<3.13
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Requires-Dist: scipy (>=1.7.0,<1.14.0)
Requires-Dist: swarmauri_base
Requires-Dist: swarmauri_core
Requires-Dist: swarmauri_standard
Description-Content-Type: text/markdown


![Swarmauri Logo](https://github.com/swarmauri/swarmauri-sdk/blob/3d4d1cfa949399d7019ae9d8f296afba773dfb7f/assets/swarmauri.brand.theme.svg)

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</p>

---

# Swarmauri Distance Minkowski

A Python package implementing the Minkowski distance metric for vector
comparison within the Swarmauri ecosystem.  The metric generalizes common
distances such as Euclidean (`p = 2`) and Manhattan (`p = 1`).

The distribution issues a `DeprecationWarning` announcing removal in
`v0.10.0`.  Consume the distance through Swarmauri's plugin interfaces or
switch to an alternative implementation before that release.

## Features

- Computes Minkowski distance between vectors using `scipy.spatial.distance`.
- Enforces matching vector dimensionality and raises `ValueError` when shapes
  differ.
- Offers a tunable `p` value along with batch helpers (`distances`,
  `similarities`).
- Derives a similarity score from distance as `1 / (1 + distance)`.

## Installation

Install the package with your preferred Python packaging tool:

```bash
pip install swarmauri_distance_minkowski
```

```bash
poetry add swarmauri_distance_minkowski
```

```bash
uv pip install swarmauri_distance_minkowski
```

## Usage

```python
from swarmauri_distance_minkowski import MinkowskiDistance
from swarmauri_standard.vectors.Vector import Vector

# Create vectors for comparison
vector_a = Vector(value=[1, 2])
vector_b = Vector(value=[1, 2])

# Initialize Minkowski distance calculator (default p=2 for Euclidean distance)
distance_calculator = MinkowskiDistance()

# Calculate distance between vectors
distance = distance_calculator.distance(vector_a, vector_b)
print(f"Distance: {distance}")

# Calculate similarity between vectors
similarity = distance_calculator.similarity(vector_a, vector_b)
print(f"Similarity: {similarity}")
```

Running the example prints:

```
Distance: 0.0
Similarity: 1.0
```

Customize the `p` value to select different Minkowski norms, or supply a
sequence of vectors to `distances` / `similarities` for batch comparisons.

## Want to help?

If you want to contribute to swarmauri-sdk, read up on our [guidelines for contributing](https://github.com/swarmauri/swarmauri-sdk/blob/master/contributing.md) that will help you get started.


