


'''simple docstring'''





from typing import TYPE_CHECKING

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


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

try:
	if not is_vision_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : Union[str, Any]		=				['ConditionalDetrFeatureExtractor']
	a : Tuple		=				['ConditionalDetrImageProcessor']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : List[str]		=				[
	    '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

	a : Union[str, Any]		=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)






from itertools import count


def 		lowercase_  (     _UpperCamelCase = 50  ):


			'''simple docstring'''







			__lowercase 					=   [1] * min_block_length

			for n in count(_UpperCamelCase  ):
						fill_count_functions.append(1  )

						for block_length in range(_UpperCamelCase       ,			n + 1  ):
									for block_start in range(n - block_length  ):
												fill_count_functions[n] += fill_count_functions[
												    n - block_start - block_length - 1
												]

									fill_count_functions[n] += 1

						if fill_count_functions[n] > 1_00_00_00:
									break

			return n


if __name__ == "__main__":
	print(f'''{solution() = }''')


