


"""simple docstring"""







import random


def      lowercase			(				A_  ,   A_       )->      tuple:
  '''simple docstring'''







  a							,		a							,		a						:		List[str]      							=			[], [], []
  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      lowercase			(				A_  ,   A_       )->      Dict:
  '''simple docstring'''







  if index >= len(A_       ) or index < 0:
    return None

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


UpperCAmelCase :       Union[str, Any]			   =     {'configuration_sew': ['SEW_PRETRAINED_CONFIG_ARCHIVE_MAP', 'SEWConfig']}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase :       Union[str, Any]			   =     [
      'SEW_PRETRAINED_MODEL_ARCHIVE_LIST',
      'SEWForCTC',
      'SEWForSequenceClassification',
      'SEWModel',
      'SEWPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

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






