
'''simple docstring'''
from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments








'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase__  			=				{
    '''configuration_owlvit''': [
        '''OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''OwlViTConfig''',
        '''OwlViTOnnxConfig''',
        '''OwlViTTextConfig''',
        '''OwlViTVisionConfig''',
    ],
    '''processing_owlvit''': ['''OwlViTProcessor'''],
}


try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				['''OwlViTFeatureExtractor''']
					UpperCAmelCase__  			=				['''OwlViTImageProcessor''']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					UpperCAmelCase__  			=				[
					    '''OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST''',
					    '''OwlViTModel''',
					    '''OwlViTPreTrainedModel''',
					    '''OwlViTTextModel''',
					    '''OwlViTVisionModel''',
					    '''OwlViTForObjectDetection''',
					]

if TYPE_CHECKING:
					from .configuration_owlvit import (
					    OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    OwlViTConfig,
					    OwlViTOnnxConfig,
					    OwlViTTextConfig,
					    OwlViTVisionConfig,
					)
					from .processing_owlvit import OwlViTProcessor

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_owlvit import OwlViTFeatureExtractor
										from .image_processing_owlvit import OwlViTImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_owlvit import (
										    OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
										    OwlViTForObjectDetection,
										    OwlViTModel,
										    OwlViTPreTrainedModel,
										    OwlViTTextModel,
										    OwlViTVisionModel,
										)

else:
					import sys

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



