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
TypeErrorifarris not anumpy.ndarray. - Raises
ValueErroriflengthis outside1..32.
Development
pip install -e ".[test]"
pytest
License
MIT
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imid-0.2.1.tar.gz
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File metadata
- Download URL: imid-0.2.1.tar.gz
- Upload date:
- Size: 2.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
09ab948e76c09ebbdef490e5a51c4086b3c72f7588708cabd3e69a832e4d69bf
|
|
| MD5 |
ae3ae6ba2b2742f7e5670feaa9ce857f
|
|
| BLAKE2b-256 |
cd36315af07574f9b8c1ba68d2ea2c14441bad350dc3eb6c516ec433cb26fa34
|
File details
Details for the file imid-0.2.1-py3-none-any.whl.
File metadata
- 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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eaf18b7edfe835e029ccc63cdb6d85ed413863453d0276683bb750b220f9d138
|
|
| MD5 |
ec405010483310931e61bb9965991ddc
|
|
| BLAKE2b-256 |
311bc006c55e06767cbb9608da9812b7fe3e8afcdf05b4f61cef1f21865fa411
|