code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  import sys
  def _A		(		lowercase ,					lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      if not numbers:
          return 0
      if target == 0 and target in numbers:
          return 0
      if not isinstance(lowercase__ ,					(list, tuple)	) or not all(
          isinstance(lowercase__ ,					lowercase__	) for number in numbers	):
          raise ValueError('''numbers must be an iterable of integers'''	)
  
      a					=a					=a					=0
      a					=sys.maxsize
  
      while right < len(lowercase__	):
          curr_sum += numbers[right]
          while curr_sum >= target and left <= right:
              a					=min(lowercase__ ,					right - left + 1	)
              curr_sum -= numbers[left]
              left += 1
          right += 1
  
      return 0 if min_len == sys.maxsize else min_len
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     List[str]    		=						[
             """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """DinatForImageClassification""",
             """DinatModel""",
             """DinatPreTrainedModel""",
             """DinatBackbone""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dinat import (
                    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DinatBackbone,
                    DinatForImageClassification,
                    DinatModel,
                    DinatPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)