Numpy Array type compatible with Pydantic
Project description
Nudantic
Numpy Array type compatible with Pydantic
from pydanctic import BaseModel
from nudantic import NdArray
class MyModel(BaseModel):
array: NdArray
MyModel(array=np.array([1, 2, 3])).model_dump_json()
# {'array': [1, 2, 3]}
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nudantic-0.1.3.tar.gz
(1.6 kB
view details)
Built Distribution
File details
Details for the file nudantic-0.1.3.tar.gz
.
File metadata
- Download URL: nudantic-0.1.3.tar.gz
- Upload date:
- Size: 1.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 912d7b7343a93579f8c53329c7c618a14ab983c6cbd390502adc9a3a869d71bd |
|
MD5 | e7a82a81d3dd5ad76a505136f38d747a |
|
BLAKE2b-256 | be407fee003bf3480f5523f8dd77dd50aee710bd9232463a73f152e4b6109899 |
File details
Details for the file nudantic-0.1.3-py3-none-any.whl
.
File metadata
- Download URL: nudantic-0.1.3-py3-none-any.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.11.9
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 656cd3e5ee84ba480e421b81159b08c499b297a5ff1d449b46a952c3705d20bc |
|
MD5 | 5d9c56c9137074443b8481da069eb4a5 |
|
BLAKE2b-256 | 0e41dda94f2b065f5b119d3b1a68a5f447ec9630518829d8e14717eff4de3479 |