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/opt/conda/envs/jupiter-gis/lib/python3 support arbitrary types similar issues comment metadata assignees data validation pydantic v1 numpy version conda-forge type projects dtype = field import pydantic added docs numpy dtype pydantic version class config type pydantic versions issue descriptive title settings management fundamental package array computing 0-136-generic-x86_64 interpret 'pydanticundefined' prettywood mentioned custom __eq__ projects milestone milestone relationships pydantic/fields default=np import 1 description ['dotenv' github pydantic 1 pydantic version = +version = python 3 python python $ python np default fields field sign skip

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      headline:Numpy dtype support breaks between pydantic 1.7 to 1.8
      articleBody:### Checks * [x] I added a descriptive title to this issue * [x] I have searched (google, github) for similar issues and couldn't find anything * [x] I have read and followed [the docs](https://pydantic-docs.helpmanual.io/) and still think this is a bug # Bug Numpy dtype support breaks between pydantic versions: ``` -version = "1.7.3" +version = "1.8.1" ``` ``` $ poetry show pydantic name : pydantic version : 1.8.1 description : Data validation and settings management using python 3.6 type hinting dependencies - python-dotenv >=0.10.4 - typing-extensions >=3.7.4.3 $ poetry show numpy name : numpy version : 1.20.1 description : NumPy is the fundamental package for array computing with Python. ``` Output of `python -c "import pydantic.utils; print(pydantic.utils.version_info())"`: ``` $ python -c "import pydantic.utils; print(pydantic.utils.version_info())" pydantic version: 1.8.1 pydantic compiled: True install path: /opt/conda/envs/jupiter-gis/lib/python3.7/site-packages/pydantic python version: 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37) [GCC 9.3.0] platform: Linux-4.15.0-136-generic-x86_64-with-debian-buster-sid optional deps. installed: ['dotenv', 'typing-extensions'] ``` ```py import pydantic import numpy as np class Bin(BaseModel): lower: float upper: float dtype: np.dtype = Field(default=np.dtype("uint8")) class Config: allow_mutation = False # this is required for numpy.dtype arbitrary_types_allowed = True ``` While loading pytest root `conftest.py` there is an error on import like: ``` pydantic/fields.py:249: in pydantic.fields.Field ??? pydantic/fields.py:172: in pydantic.fields.FieldInfo._validate ??? E TypeError: Cannot interpret 'PydanticUndefined' as a data type ```
      author:
         url:https://github.com/dazza-codes
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      datePublished:2021-03-05T17:03:42.000Z
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      url:https://github.com/2483/pydantic/issues/2483
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      headline:Numpy dtype support breaks between pydantic 1.7 to 1.8
      articleBody:### Checks * [x] I added a descriptive title to this issue * [x] I have searched (google, github) for similar issues and couldn't find anything * [x] I have read and followed [the docs](https://pydantic-docs.helpmanual.io/) and still think this is a bug # Bug Numpy dtype support breaks between pydantic versions: ``` -version = "1.7.3" +version = "1.8.1" ``` ``` $ poetry show pydantic name : pydantic version : 1.8.1 description : Data validation and settings management using python 3.6 type hinting dependencies - python-dotenv >=0.10.4 - typing-extensions >=3.7.4.3 $ poetry show numpy name : numpy version : 1.20.1 description : NumPy is the fundamental package for array computing with Python. ``` Output of `python -c "import pydantic.utils; print(pydantic.utils.version_info())"`: ``` $ python -c "import pydantic.utils; print(pydantic.utils.version_info())" pydantic version: 1.8.1 pydantic compiled: True install path: /opt/conda/envs/jupiter-gis/lib/python3.7/site-packages/pydantic python version: 3.7.10 | packaged by conda-forge | (default, Feb 19 2021, 16:07:37) [GCC 9.3.0] platform: Linux-4.15.0-136-generic-x86_64-with-debian-buster-sid optional deps. installed: ['dotenv', 'typing-extensions'] ``` ```py import pydantic import numpy as np class Bin(BaseModel): lower: float upper: float dtype: np.dtype = Field(default=np.dtype("uint8")) class Config: allow_mutation = False # this is required for numpy.dtype arbitrary_types_allowed = True ``` While loading pytest root `conftest.py` there is an error on import like: ``` pydantic/fields.py:249: in pydantic.fields.Field ??? pydantic/fields.py:172: in pydantic.fields.FieldInfo._validate ??? E TypeError: Cannot interpret 'PydanticUndefined' as a data type ```
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