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]}

Metadata

Release files for nudantic 0.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nudantic 0.1.3
File	Size	Uploaded
nudantic-0.1.3.tar.gz	1.6 kB	Aug 20, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for nudantic 0.1.3
File	Interpreter	ABI	Platform	Reset
nudantic-0.1.3-py3-none-any.whl 1.8 kB Aug 20, 2024	Python 3	none	any	Details

Total release size: 3.5 kB

Release files / nudantic-0.1.3.tar.gz

Download URL	nudantic-0.1.3.tar.gz
Size	1.6 kB
Tags	Source
SHA-256 checksum How to use checksums	`912d7b7343a93579f8c53329c7c618a14ab983c6cbd390502adc9a3a869d71bd`
BLAKE2b-256 checksum How to use checksums	`be407fee003bf3480f5523f8dd77dd50aee710bd9232463a73f152e4b6109899`
Upload date	Aug 20, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.11.9`

Release files / nudantic-0.1.3-py3-none-any.whl

Download URL	nudantic-0.1.3-py3-none-any.whl
Size	1.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`656cd3e5ee84ba480e421b81159b08c499b297a5ff1d449b46a952c3705d20bc`
BLAKE2b-256 checksum How to use checksums	`0e41dda94f2b065f5b119d3b1a68a5f447ec9630518829d8e14717eff4de3479`
Upload date	Aug 20, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.11.9`