"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
# @generated-id: c61d451066dc

from __future__ import annotations
from mistralai.client.types import BaseModel, UNSET_SENTINEL
from mistralai.client.utils import validate_const
import pydantic
from pydantic import model_serializer
from pydantic.functional_validators import AfterValidator
from typing import Literal, Optional
from typing_extensions import Annotated, NotRequired, TypedDict


class JudgeRegressionOutputTypedDict(TypedDict):
    min_description: str
    max_description: str
    type: Literal["REGRESSION"]
    min: NotRequired[float]
    max: NotRequired[float]


class JudgeRegressionOutput(BaseModel):
    min_description: str

    max_description: str

    type: Annotated[
        Annotated[Literal["REGRESSION"], AfterValidator(validate_const("REGRESSION"))],
        pydantic.Field(alias="type"),
    ] = "REGRESSION"

    min: Optional[float] = 0

    max: Optional[float] = 1

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = set(["min", "max"])
        serialized = handler(self)
        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k, serialized.get(n))

            if val != UNSET_SENTINEL:
                if val is not None or k not in optional_fields:
                    m[k] = val

        return m


try:
    JudgeRegressionOutput.model_rebuild()
except NameError:
    pass