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pydantic numpy ndarray type

gdfelt answered on February 4, 2022 Popularity 3/10 Helpfulness 1/10

answer pydantic numpy ndarray type

pydantic numpy ndarray type

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# Define custom type validatable by Pydantic.
class TypedArray(numpy.ndarray):
    @classmethod
    def __get_validators__(cls):
        yield cls.validate_type

    @classmethod
    def validate_type(cls, val):
        return numpy.array(val, dtype=cls.inner_type)

class ArrayMeta(type):
    def __getitem__(self, t):
        return type('Array', (TypedArray,), {'inner_type': t})

class Array(numpy.ndarray, metaclass=ArrayMeta):
    pass

class Model(BaseModel):
    values: Array[float]

m = Model(values=[1, 2, 3])
print(m)

Popularity 3/10 Helpfulness 1/10 Language python

Source: github.com

Tags: numpy-ndarray pydantic python

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Contributed on Feb 04 2022

gdfelt

0 Answers Avg Quality 2/10

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