





"""simple docstring"""




from typing import TYPE_CHECKING

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


UpperCamelCase_     ={"""configuration_detr""": ["""DETR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DetrConfig""", """DetrOnnxConfig"""]}

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

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase_     =[
						    """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

						UpperCamelCase_     =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)










"""simple docstring"""




def  a_       (							_lowercase ,		_lowercase     ):
						sequence.append(_lowercase     )

						_UpperCamelCase    :      int						     =					0
						while sequence[index] != target:
												index += 1

						sequence.pop()

						if index == len(_lowercase     ):
												return None

						return index


if __name__ == "__main__":
						UpperCamelCase_     =input("""Enter numbers separated by comma:\n""").strip()
						UpperCamelCase_     =[int(item) for item in user_input.split(""",""")]

						UpperCamelCase_     =input("""Enter a single number to be found in the list:\n""")
						UpperCamelCase_     =int(target_input)
						UpperCamelCase_     =sentinel_linear_search(sequence, target)
						if result is not None:
												print(F"{target} found at positions: {result}")
						else:
												print("""Not found""")



