


"""simple docstring"""






def        lowerCamelCase_(		_lowerCamelCase       )    ->     Dict:
   '''simple docstring'''





   if not head:
      return True
   # split the list to two parts
   _lowerCamelCase,					_lowerCamelCase   :				List[str]							=     head.next, head
   while fast and fast.next:
      _lowerCamelCase   :				Union[str, Any]							=     fast.next.next
      _lowerCamelCase   :				str							=     slow.next
   _lowerCamelCase   :				Any							=     slow.next
   _lowerCamelCase   :				Tuple							=     None  # Don't forget here! But forget still works!
   # reverse the second part
   _lowerCamelCase   :				int							=     None
   while second:
      _lowerCamelCase   :				Union[str, Any]							=     second.next
      _lowerCamelCase   :				Dict							=     node
      _lowerCamelCase   :				List[Any]							=     second
      _lowerCamelCase   :				Optional[Any]							=     nxt
   # compare two parts
   # second part has the same or one less node
   while node:
      if node.val != head.val:
         return False
      _lowerCamelCase   :				List[Any]							=     node.next
      _lowerCamelCase   :				Dict							=     head.next
   return True







def        lowerCamelCase_(		_lowerCamelCase       )    ->     str:
   '''simple docstring'''





   if not head or not head.next:
      return True

   # 1. Get the midpoint (slow)
   _lowerCamelCase   :				Tuple							=     head
   while fast and fast.next:
      _lowerCamelCase,					_lowerCamelCase   :				str							=     fast.next.next, slow.next

   # 2. Push the second half into the stack
   _lowerCamelCase   :				Dict							=     [slow.val]
   while slow.next:
      _lowerCamelCase   :				Tuple							=     slow.next
      stack.append(slow.val       )

   # 3. Comparison
   while stack:
      if stack.pop() != cur.val:
         return False
      _lowerCamelCase   :				Optional[int]							=     cur.next

   return True







def        lowerCamelCase_(		_lowerCamelCase       )    ->     int:
   '''simple docstring'''





   if not head or not head.next:
      return True
   _lowerCamelCase   :				Dict							=     {}
   _lowerCamelCase   :				Optional[Any]							=     0
   while head:
      if head.val in d:
         d[head.val].append(_lowerCamelCase       )
      else:
         _lowerCamelCase   :				Any							=     [pos]
      _lowerCamelCase   :				Any							=     head.next
      pos += 1
   _lowerCamelCase   :				str							=     pos - 1
   _lowerCamelCase   :				Optional[int]							=     0
   for v in d.values():
      if len(_lowerCamelCase       ) % 2 != 0:
         middle += 1
      else:
         _lowerCamelCase   :				Optional[int]							=     0
         for i in range(0			,		len(_lowerCamelCase       )       ):
            if v[i] + v[len(_lowerCamelCase       ) - 1 - step] != checksum:
               return False
            step += 1
      if middle > 1:
         return False
   return True



"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case       =       {
    """configuration_bigbird_pegasus""": [
        """BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """BigBirdPegasusConfig""",
        """BigBirdPegasusOnnxConfig""",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       [
      """BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """BigBirdPegasusForCausalLM""",
      """BigBirdPegasusForConditionalGeneration""",
      """BigBirdPegasusForQuestionAnswering""",
      """BigBirdPegasusForSequenceClassification""",
      """BigBirdPegasusModel""",
      """BigBirdPegasusPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_bigbird_pegasus import (
      BIGBIRD_PEGASUS_PRETRAINED_CONFIG_ARCHIVE_MAP,
      BigBirdPegasusConfig,
      BigBirdPegasusOnnxConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_bigbird_pegasus import (
        BIGBIRD_PEGASUS_PRETRAINED_MODEL_ARCHIVE_LIST,
        BigBirdPegasusForCausalLM,
        BigBirdPegasusForConditionalGeneration,
        BigBirdPegasusForQuestionAnswering,
        BigBirdPegasusForSequenceClassification,
        BigBirdPegasusModel,
        BigBirdPegasusPreTrainedModel,
    )


else:
  import sys

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





