swarmauri_metric_hamming 0.9.0

Swarmauri Hamming distance metric community package.

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Swarmauri Metric Hamming

The swarmauri_metric_hamming package delivers a production-ready implementation of the Hamming distance that integrates seamlessly with the Swarmauri metric ecosystem. It extends MetricBase with binary vector validation, pairwise distance calculations, and axiom verification utilities designed for error-correcting code workflows.

Features

• ✅ Fully compliant MetricBase implementation for binary sequences.
• 🔁 Pairwise and batched distance calculations for matrices, vectors, and iterables.
• 🧪 Built-in validation helpers for metric axioms and input compatibility checks.
• 🧰 Utility conversion helpers for strings, dictionaries, NumPy arrays, and Swarmauri matrices/vectors.

Installation

Using uv

uv pip install swarmauri_metric_hamming

Using pip

pip install swarmauri_metric_hamming

Usage

from swarmauri_metric_hamming import HammingMetric

metric = HammingMetric()

codeword = [1, 0, 1, 1, 0, 0, 1]
received = [1, 1, 1, 1, 0, 0, 1]

# Compute the Hamming distance between two binary vectors
print(metric.distance(codeword, received))  # 1.0

# Verify the metric axioms for the provided inputs
assert metric.check_symmetry(codeword, received)
assert metric.check_triangle_inequality(codeword, received, codeword)

Support

• Python 3.10, 3.11, and 3.12
• Licensed under the Apache-2.0 license

Contributing

We welcome contributions! Please submit issues and pull requests through the Swarmauri SDK GitHub repository.