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mistral_common.base

MistralBase(**data)

Bases: BaseModel

Base class for all Mistral Pydantic models.

Forbids extra attributes, validates default values and use enum values.

Source code in pydantic/main.py 
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def __init__(self, /, **data: Any) -> None:
    """Create a new model by parsing and validating input data from keyword arguments.

    Raises [`ValidationError`][pydantic_core.ValidationError] if the input data cannot be
    validated to form a valid model.

    `self` is explicitly positional-only to allow `self` as a field name.
    """
    # `__tracebackhide__` tells pytest and some other tools to omit this function from tracebacks
    __tracebackhide__ = True
    validated_self = self.__pydantic_validator__.validate_python(data, self_instance=self)
    if self is not validated_self:
        warnings.warn(
            'A custom validator is returning a value other than `self`.\n'
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n"
            'See the `model_validator` docs (https://docs.pydantic.dev/latest/concepts/validators/#model-validators) for more details.',
            stacklevel=2,
        )

model_validate_ignore_extra(data) classmethod

Build the model from the data after filtering out keys not in the model fields.

Unlike model_validate, does not raise on unknown keys; they are silently dropped.

Parameters:

Name Type Description Default
data dict[str, Any]

The dictionary to validate.

 required

Returns:

Type Description
Self

The validated model instance.
Source code in src/mistral_common/base.py 
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@classmethod
def model_validate_ignore_extra(cls, data: dict[str, Any]) -> Self:
    r"""Build the model from the data after filtering out keys not in the model fields.

    Unlike `model_validate`, does not raise on unknown keys; they are
    silently dropped.

    Args:
        data: The dictionary to validate.

    Returns:
        The validated model instance.
    """
    return cls.model_validate(cls._filter_cls_fields(data))