import random







def __UpperCamelCase(   _A					:				list  ,			_A					:				Tuple    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Union[str, Any]   				=  [], [], []
   for element in data:
      if element < pivot:
         less.append(_A    )
      elif element > pivot:
         greater.append(_A    )
      else:
         equal.append(_A    )
   return less, equal, greater







def __UpperCamelCase(   _A					:				list  ,			_A					:				int    ):
   '''simple docstring'''
   # index = len(items) // 2 when trying to find the median
   #   (value of index when items is sorted)

   # invalid input
   if index >= len(_A    ) or index < 0:
      return None

   UpperCAmelCase__							:				Union[str, Any]   				=  items[random.randint(0  ,			len(_A    ) - 1    )]
   UpperCAmelCase__							:				Dict   				=  0
   UpperCAmelCase__							:				int   				=  _partition(_A  ,			_A    )
   UpperCAmelCase__							:				Union[str, Any]   				=  len(_A    )
   UpperCAmelCase__							:				Optional[int]   				=  len(_A    )

   # index is the pivot
   if m <= index < m + count:
      return pivot
   # must be in smaller
   elif m > index:
      return quick_select(_A  ,			_A    )
   # must be in larger
   else:
      return quick_select(_A  ,			index - (m + count)    )





'''simple docstring'''

from typing import TYPE_CHECKING

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


UpperCamelCase__     :	List[Any]				=			{'configuration_yolos': ['YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP', 'YolosConfig', 'YolosOnnxConfig']}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__     :	int				=			['YolosFeatureExtractor']
  UpperCamelCase__     :	int				=			['YolosImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__     :	int				=			[
      'YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST',
      'YolosForObjectDetection',
      'YolosModel',
      'YolosPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_yolos import YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP, YolosConfig, YolosOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_yolos import YolosFeatureExtractor
    from .image_processing_yolos import YolosImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_yolos import (
        YOLOS_PRETRAINED_MODEL_ARCHIVE_LIST,
        YolosForObjectDetection,
        YolosModel,
        YolosPreTrainedModel,
    )


else:
  import sys

  UpperCamelCase__     :	int				=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




