from dataclasses import dataclass
from typing import Callable, Optional

import datasets







@dataclass
class      SCREAMING_SNAKE_CASE__					(  datasets.BuilderConfig    ):
       A							:	Optional[Callable]          =	None
       A							:	Optional[dict]          =	None
       A							:	Optional[datasets.Features]          =	None

       def 			snake_case__    (							self					:     List[Any]			):
           assert self.generator is not None, "generator must be specified"

           if self.gen_kwargs is None:
               __snake_case       :				Optional[Any] 			=    {}







class      SCREAMING_SNAKE_CASE__					(  datasets.GeneratorBasedBuilder    ):
       A							:	int          =	GeneratorConfig

       def 			snake_case__    (							self					:     Any			):
           return datasets.DatasetInfo(features=self.config.features			)

       def 			snake_case__    (							self					:     Optional[Any]			,			_lowerCAmelCase					:     Any			):
           return [datasets.SplitGenerator(name=datasets.Split.TRAIN			,			gen_kwargs=self.config.gen_kwargs			)]





       def 			snake_case__    (							self					:     List[Any]			,			**_lowerCAmelCase					:     Dict			):
           for idx, ex in enumerate(self.config.generator(**UpperCamelCase_			)			):
               yield idx, ex





'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowercase	=    {'''configuration_detr''': ['''DETR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''DetrConfig''', '''DetrOnnxConfig''']}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    ['''DetrFeatureExtractor''']
							__lowercase	=    ['''DetrImageProcessor''']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowercase	=    [
							    '''DETR_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''DetrForObjectDetection''',
							    '''DetrForSegmentation''',
							    '''DetrModel''',
							    '''DetrPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_detr import DetrFeatureExtractor
														from .image_processing_detr import DetrImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_detr import (
														    DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
														    DetrForObjectDetection,
														    DetrForSegmentation,
														    DetrModel,
														    DetrPreTrainedModel,
														)

else:
							import sys

							__lowercase	=    _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






