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Deterministic MD5-based IDs for NumPy arrays

Project description

imid

Deterministic MD5-based string IDs for NumPy arrays.

The hash incorporates dtype, shape, and byte content, so arrays differing in any of those produce different IDs.

Install

pip install imid

Usage

import numpy as np
from imid import get_id

arr = np.array([1.0, 2.0, 3.0])

get_id(arr)                 # "a3f1b2c4"
get_id(arr, prefix="img_")  # "img_a3f1b2c4"
get_id(arr, length=16)      # "a3f1b2c4d5e6f7a8"

API

get_id(arr, *, prefix="", length=8) -> str

Parameter Type Default Description
arr np.ndarray (required) Input array
prefix str "" String prepended to the ID
length int 8 Length of the hex digest (1-32)
  • Non-contiguous arrays are handled automatically.
  • Raises TypeError if arr is not a numpy.ndarray.
  • Raises ValueError if length is outside 1..32.

Development

pip install -e ".[test]"
pytest

License

MIT

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  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for imid-0.2.2.tar.gz
Algorithm Hash digest
SHA256 7f2c44be2bf5bc71d3470a07554a4867376f4a51252db7fb7e60501ef0cffd60
MD5 cd931d4bc86de3d719a634210cc546d6
BLAKE2b-256 c2b195c15e86b1337cf4f6da1043e54cfc7db7405c9099472165e8294c77992e

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  • Download URL: imid-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 2.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for imid-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d5fb7fd449ff4db44b548f2f36fb8f57049f0747220ed921b1a71fa5aea9abc3
MD5 3c4a49dcac0ecd35e7a6faa6b79d6daf
BLAKE2b-256 b102aec5a1e390156babd1b7c6b90af2ed5e03ee3758d937062d444159c8ec17

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