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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 (max 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-0.2.1.tar.gz
Algorithm Hash digest
SHA256 09ab948e76c09ebbdef490e5a51c4086b3c72f7588708cabd3e69a832e4d69bf
MD5 ae3ae6ba2b2742f7e5670feaa9ce857f
BLAKE2b-256 cd36315af07574f9b8c1ba68d2ea2c14441bad350dc3eb6c516ec433cb26fa34

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  • Download URL: imid-0.2.1-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-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 eaf18b7edfe835e029ccc63cdb6d85ed413863453d0276683bb750b220f9d138
MD5 ec405010483310931e61bb9965991ddc
BLAKE2b-256 311bc006c55e06767cbb9608da9812b7fe3e8afcdf05b4f61cef1f21865fa411

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