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# This file was auto-generated by Fern from our API Definition.

# isort: skip_file

import typing

from importlib import import_module

if typing.TYPE_CHECKING:

from .types import (

BaseScore,

BooleanScore,

CategoricalScore,

Comment,

CommentObjectType,

ConfigCategory,

CorrectionScore,

CreateScoreValue,

Dataset,

DatasetItem,

DatasetItemMediaReference,

DatasetItemMediaReferenceField,

DatasetItemMediaReferenceMedia,

DatasetStatus,

Deprecation,

MapValue,

Model,

ModelPrice,

ModelUsageUnit,

NumericScore,

ObservationLevel,

ObservationV2,

OpenAiUsage,

PricingTier,

PricingTierAttributeCondition,

PricingTierAttributeSource,

PricingTierCondition,

PricingTierConditionInput,

PricingTierInput,

PricingTierOperator,

PricingTierUsageCondition,

PricingTierUsageConditionInput,

Score,

ScoreConfig,

ScoreConfigDataType,

ScoreDataType,

ScoreSource,

Score_Boolean,

Score_Categorical,

Score_Correction,

Score_Numeric,

Score_Text,

TextScore,

Usage,

)

from .errors import (

AccessDeniedError,

Error,

MethodNotAllowedError,

NotFoundError,

UnauthorizedError,

)

_dynamic_imports: typing.Dict[str, str] = {

"AccessDeniedError": ".errors",

"BaseScore": ".types",

"BooleanScore": ".types",

"CategoricalScore": ".types",

"Comment": ".types",

"CommentObjectType": ".types",

"ConfigCategory": ".types",

"CorrectionScore": ".types",

"CreateScoreValue": ".types",

"Dataset": ".types",

"DatasetItem": ".types",

"DatasetItemMediaReference": ".types",

"DatasetItemMediaReferenceField": ".types",

"DatasetItemMediaReferenceMedia": ".types",

"DatasetStatus": ".types",

"Deprecation": ".types",

"Error": ".errors",

"MapValue": ".types",

"MethodNotAllowedError": ".errors",

"Model": ".types",

"ModelPrice": ".types",

"ModelUsageUnit": ".types",

"NotFoundError": ".errors",

"NumericScore": ".types",

"ObservationLevel": ".types",

"ObservationV2": ".types",

"OpenAiUsage": ".types",

"PricingTier": ".types",

"PricingTierAttributeCondition": ".types",

"PricingTierAttributeSource": ".types",

"PricingTierCondition": ".types",

"PricingTierConditionInput": ".types",

"PricingTierInput": ".types",

"PricingTierOperator": ".types",

"PricingTierUsageCondition": ".types",

"PricingTierUsageConditionInput": ".types",

"Score": ".types",

"ScoreConfig": ".types",

"ScoreConfigDataType": ".types",

"ScoreDataType": ".types",

"ScoreSource": ".types",

"Score_Boolean": ".types",

"Score_Categorical": ".types",

"Score_Correction": ".types",

"Score_Numeric": ".types",

"Score_Text": ".types",

"TextScore": ".types",

"UnauthorizedError": ".errors",

"Usage": ".types",

}

def __getattr__(attr_name: str) -> typing.Any:

module_name = _dynamic_imports.get(attr_name)

if module_name is None:

raise AttributeError(

f"No {attr_name} found in _dynamic_imports for module name -> {__name__}"

)

try:

module = import_module(module_name, __package__)

if module_name == f".{attr_name}":

return module

else:

return getattr(module, attr_name)

except ImportError as e:

raise ImportError(

f"Failed to import {attr_name} from {module_name}: {e}"

) from e

except AttributeError as e:

raise AttributeError(

f"Failed to get {attr_name} from {module_name}: {e}"

) from e

def __dir__():

lazy_attrs = list(_dynamic_imports.keys())

return sorted(lazy_attrs)

__all__ = [

"AccessDeniedError",

"BaseScore",

"BooleanScore",

"CategoricalScore",

"Comment",

"CommentObjectType",

"ConfigCategory",

"CorrectionScore",

"CreateScoreValue",

"Dataset",

"DatasetItem",

"DatasetItemMediaReference",

"DatasetItemMediaReferenceField",

"DatasetItemMediaReferenceMedia",

"DatasetStatus",

"Deprecation",

"Error",

"MapValue",

"MethodNotAllowedError",

"Model",

"ModelPrice",

"ModelUsageUnit",

"NotFoundError",

"NumericScore",

"ObservationLevel",

"ObservationV2",

"OpenAiUsage",

"PricingTier",

"PricingTierAttributeCondition",

"PricingTierAttributeSource",

"PricingTierCondition",

"PricingTierConditionInput",

"PricingTierInput",

"PricingTierOperator",

"PricingTierUsageCondition",

"PricingTierUsageConditionInput",

"Score",

"ScoreConfig",

"ScoreConfigDataType",

"ScoreDataType",

"ScoreSource",

"Score_Boolean",

"Score_Categorical",

"Score_Correction",

"Score_Numeric",

"Score_Text",

"TextScore",

"UnauthorizedError",

"Usage",

]