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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 (inclusive).

Development

pip install -e ".[test]"
pytest

License

MIT

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  • Download URL: imid-0.2.3.tar.gz
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File hashes

Hashes for imid-0.2.3.tar.gz
Algorithm Hash digest
SHA256 609ab3ffd8a0611bc83bd789fa27f0e46f4bf8f4e35d0814537cd79d5c7f0e62
MD5 bb855988c8e36e06732aa3d6e2ca468f
BLAKE2b-256 c702574f6d813afc8f22a19bec45e6316a51cd5a092e92ea143a601c816ea193

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  • Download URL: imid-0.2.3-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-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 0ae39615ffba48b9847db8d8e7cdf0d510f648af7d4a4c34382749c7534b0dc8
MD5 ef74eb27ddfad9ce1bd27a6c99e168ca
BLAKE2b-256 337f73fed2b6aa3800657241b86836335b67d723e82be1f12de228578f5d1655

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