# coding: utf-8

"""
    node-server

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)  # noqa: E501

    The version of the OpenAPI document: 0.0.237
    Generated by: https://openapi-generator.tech
"""

from datetime import date, datetime  # noqa: F401
import decimal  # noqa: F401
import functools  # noqa: F401
import io  # noqa: F401
import re  # noqa: F401
import typing  # noqa: F401
import typing_extensions  # noqa: F401
import uuid  # noqa: F401

import frozendict  # noqa: F401

from tensorleap_openapi_client import schemas  # noqa: F401


class PredictionTypeInstance(
    schemas.DictSchema
):
    """NOTE: This class is auto generated by OpenAPI Generator.
    Ref: https://openapi-generator.tech

    Do not edit the class manually.
    """


    class MetaOapg:
        required = {
            "name",
            "metrics",
            "labels",
        }
        
        class properties:
            name = schemas.StrSchema
            
            
            class labels(
                schemas.ListSchema
            ):
            
            
                class MetaOapg:
                    items = schemas.StrSchema
            
                def __new__(
                    cls,
                    arg: typing.Union[typing.Tuple[typing.Union[MetaOapg.items, str, ]], typing.List[typing.Union[MetaOapg.items, str, ]]],
                    _configuration: typing.Optional[schemas.Configuration] = None,
                ) -> 'labels':
                    return super().__new__(
                        cls,
                        arg,
                        _configuration=_configuration,
                    )
            
                def __getitem__(self, i: int) -> MetaOapg.items:
                    return super().__getitem__(i)
            
            
            class metrics(
                schemas.ListSchema
            ):
            
            
                class MetaOapg:
                    
                    @staticmethod
                    def items() -> typing.Type['Metric']:
                        return Metric
            
                def __new__(
                    cls,
                    arg: typing.Union[typing.Tuple['Metric'], typing.List['Metric']],
                    _configuration: typing.Optional[schemas.Configuration] = None,
                ) -> 'metrics':
                    return super().__new__(
                        cls,
                        arg,
                        _configuration=_configuration,
                    )
            
                def __getitem__(self, i: int) -> 'Metric':
                    return super().__getitem__(i)
            __annotations__ = {
                "name": name,
                "labels": labels,
                "metrics": metrics,
            }
        additional_properties = schemas.NotAnyTypeSchema
    
    name: MetaOapg.properties.name
    metrics: MetaOapg.properties.metrics
    labels: MetaOapg.properties.labels
    
    @typing.overload
    def __getitem__(self, name: typing_extensions.Literal["name"]) -> MetaOapg.properties.name: ...
    
    @typing.overload
    def __getitem__(self, name: typing_extensions.Literal["metrics"]) -> MetaOapg.properties.metrics: ...
    
    @typing.overload
    def __getitem__(self, name: typing_extensions.Literal["labels"]) -> MetaOapg.properties.labels: ...
    
    def __getitem__(self, name: typing.Union[typing_extensions.Literal["name"], typing_extensions.Literal["metrics"], typing_extensions.Literal["labels"], ]):
        # dict_instance[name] accessor
        return super().__getitem__(name)
    
    @typing.overload
    def get_item_oapg(self, name: typing_extensions.Literal["name"]) -> MetaOapg.properties.name: ...
    
    @typing.overload
    def get_item_oapg(self, name: typing_extensions.Literal["metrics"]) -> MetaOapg.properties.metrics: ...
    
    @typing.overload
    def get_item_oapg(self, name: typing_extensions.Literal["labels"]) -> MetaOapg.properties.labels: ...
    
    def get_item_oapg(self, name: typing.Union[typing_extensions.Literal["name"], typing_extensions.Literal["metrics"], typing_extensions.Literal["labels"], ]):
        return super().get_item_oapg(name)

    def __new__(
        cls,
        *args: typing.Union[dict, frozendict.frozendict, ],
        name: typing.Union[MetaOapg.properties.name, str, ],
        metrics: typing.Union[MetaOapg.properties.metrics, list, tuple, ],
        labels: typing.Union[MetaOapg.properties.labels, list, tuple, ],
        _configuration: typing.Optional[schemas.Configuration] = None,
    ) -> 'PredictionTypeInstance':
        return super().__new__(
            cls,
            *args,
            name=name,
            metrics=metrics,
            labels=labels,
            _configuration=_configuration,
        )

from tensorleap_openapi_client.model.metric import Metric
