


import sys
def 				UpperCamelCase_	(					__snake_case      :    int						,      __snake_case      :    list[int]  )->   int:




						'''simple docstring'''
						if not numbers:
												return 0
						if target == 0 and target in numbers:
												return 0
						if not isinstance(__snake_case						,      (list, tuple)  ) or not all(
						    isinstance(__snake_case						,      __snake_case  ) for number in numbers  ):
												raise ValueError('numbers must be an iterable of integers'  )

						__magic_name__					=      __magic_name__					=      __magic_name__					=      0
						__magic_name__					=      sys.maxsize

						while right < len(__snake_case  ):
												curr_sum += numbers[right]
												while curr_sum >= target and left <= right:
																		__magic_name__					=      min(__snake_case						,      right - left + 1  )
																		curr_sum -= numbers[left]
																		left += 1
												right += 1

						return 0 if min_len == sys.maxsize else min_len





from ..utils import DummyObject, requires_backends

class      __snake_case				(   metaclass=_UpperCAmelCase):
					SCREAMING_SNAKE_CASE_		:       str								=			["torch", "transformers", "k_diffusion"]
					def __init__(						self       :						Tuple	,      *_lowerCAmelCase       :						Union[str, Any]	,      **_lowerCAmelCase       :						Union[str, Any]  )							->					Dict:



											'''simple docstring'''





											requires_backends(self	,      ['torch', 'transformers', 'k_diffusion']  )
					@classmethod
					def 	a			(						cls       :						Optional[int]	,      *_lowerCAmelCase       :						Any	,      **_lowerCAmelCase       :						Optional[Any]  )							->					Optional[Any]:



											'''simple docstring'''





											requires_backends(cls	,      ['torch', 'transformers', 'k_diffusion']  )







					@classmethod
					def 	a			(						cls       :						Union[str, Any]	,      *_lowerCAmelCase       :						Tuple	,      **_lowerCAmelCase       :						str  )							->					Tuple:



											'''simple docstring'''





											requires_backends(cls	,      ['torch', 'transformers', 'k_diffusion']  )

