






"""simple docstring"""
from typing import TYPE_CHECKING

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


lowerCAmelCase__    						=			{
    'configuration_conditional_detr': [
        'CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ConditionalDetrConfig',
        'ConditionalDetrOnnxConfig',
    ]
}

try:
			if not is_vision_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__    						=			['ConditionalDetrFeatureExtractor']
			lowerCAmelCase__    						=			['ConditionalDetrImageProcessor']

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase__    						=			[
			    'CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'ConditionalDetrForObjectDetection',
			    'ConditionalDetrForSegmentation',
			    'ConditionalDetrModel',
			    'ConditionalDetrPreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_conditional_detr import (
			    CONDITIONAL_DETR_PRETRAINED_CONFIG_ARCHIVE_MAP,
			    ConditionalDetrConfig,
			    ConditionalDetrOnnxConfig,
			)

			try:
						if not is_vision_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .feature_extraction_conditional_detr import ConditionalDetrFeatureExtractor
						from .image_processing_conditional_detr import ConditionalDetrImageProcessor

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_conditional_detr import (
						    CONDITIONAL_DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
						    ConditionalDetrForObjectDetection,
						    ConditionalDetrForSegmentation,
						    ConditionalDetrModel,
						    ConditionalDetrPreTrainedModel,
						)

else:
			import sys

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









"""simple docstring"""
lowerCAmelCase__    						=			'\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n'

lowerCAmelCase__    						=			[{'type': 'code', 'content': INSTALL_CONTENT}]
lowerCAmelCase__    						=			{
    '{processor_class}': 'FakeProcessorClass',
    '{model_class}': 'FakeModelClass',
    '{object_class}': 'FakeObjectClass',
}

