Pydantic numpy ndarray type

# 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)

Source: github.com

Similar codes

0 vote268 views1 answer
Spacegoat meaning
Python
17 votes253 views4 answers
Python delete value from dictionary
Python
0 vote275 views1 answer
Copy along additional dimension numpy
Python
0 vote289 views1 answer
Python discord.py hacking tool
Python
0 vote263 views1 answer
Maior valor lista python
Python
73 votes278 views6 answers
Python round to two decimals
Python
0 vote270 views1 answer
A.all() numpy
Python
1 vote322 views2 answers
Pandas sort values group by
Python
1 vote298 views1 answer
Correr servidor django
Python
1 vote250 views1 answer
Write data to using pickle
Python