



class 							_a							:

   def __init__(self,      SCREAMING_SNAKE_CASE_				)					->      int:
      UpperCAmelCase_:		str       			=    data
      UpperCAmelCase_:		List[str]       			=    None
      UpperCAmelCase_:		int       			=    None

   def __str__(self				)					->      str:
      return f'{self.data}'







class 							_a							:

   def __init__(self				)					->      Optional[Any]:
      UpperCAmelCase_:		Optional[int]       			=    None
      UpperCAmelCase_:		List[Any]       			=    None

   def __iter__(self				)					->      Optional[Any]:
      UpperCAmelCase_:		Dict       			=    self.head
      while node:
         yield node.data
         UpperCAmelCase_:		Tuple       			=    node.next

   def __str__(self				)					->      str:
      return "->".join([str(SCREAMING_SNAKE_CASE_				) for item in self]				)

   def __len__(self				)					->      Dict:
      return sum(1 for _ in self				)

   def     __snake_case					(self,      SCREAMING_SNAKE_CASE_				)					->      List[Any]:
      self.insert_at_nth(0,      SCREAMING_SNAKE_CASE_				)

   def     __snake_case					(self,      SCREAMING_SNAKE_CASE_				)					->      Dict:
      self.insert_at_nth(len(self				),      SCREAMING_SNAKE_CASE_				)

   def     __snake_case					(self,      SCREAMING_SNAKE_CASE_,      SCREAMING_SNAKE_CASE_				)					->      Union[str, Any]:
      UpperCAmelCase_:		int       			=    len(self				)

      if not 0 <= index <= length:
         raise IndexError("""list index out of range"""				)
      UpperCAmelCase_:		Union[str, Any]       			=    Node(SCREAMING_SNAKE_CASE_				)
      if self.head is None:
         UpperCAmelCase_:		Dict       			=    new_node
      elif index == 0:
         UpperCAmelCase_:		Optional[Any]       			=    new_node
         UpperCAmelCase_:		Optional[Any]       			=    self.head
         UpperCAmelCase_:		Any       			=    new_node
      elif index == length:
         UpperCAmelCase_:		Dict       			=    new_node
         UpperCAmelCase_:		Dict       			=    self.tail
         UpperCAmelCase_:		List[Any]       			=    new_node
      else:
         UpperCAmelCase_:		List[str]       			=    self.head
         for _ in range(0,      SCREAMING_SNAKE_CASE_				):
            UpperCAmelCase_:		Union[str, Any]       			=    temp.next
         UpperCAmelCase_:		Tuple       			=    new_node
         UpperCAmelCase_:		Any       			=    temp.previous
         UpperCAmelCase_:		Optional[int]       			=    temp
         UpperCAmelCase_:		Optional[Any]       			=    new_node

   def     __snake_case					(self				)					->      Dict:
      return self.delete_at_nth(0				)

   def     __snake_case					(self				)					->      Tuple:
      return self.delete_at_nth(len(self				) - 1				)

   def     __snake_case					(self,      SCREAMING_SNAKE_CASE_				)					->      Dict:
      UpperCAmelCase_:		Optional[Any]       			=    len(self				)

      if not 0 <= index <= length - 1:
         raise IndexError("""list index out of range"""				)
      UpperCAmelCase_:		Union[str, Any]       			=    self.head  # default first node
      if length == 1:
         UpperCAmelCase_:		Optional[Any]       			=    None
      elif index == 0:
         UpperCAmelCase_:		Optional[Any]       			=    self.head.next
         UpperCAmelCase_:		Dict       			=    None
      elif index == length - 1:
         UpperCAmelCase_:		Dict       			=    self.tail
         UpperCAmelCase_:		List[str]       			=    self.tail.previous
         UpperCAmelCase_:		Union[str, Any]       			=    None
      else:
         UpperCAmelCase_:		Dict       			=    self.head
         for _ in range(0,      SCREAMING_SNAKE_CASE_				):
            UpperCAmelCase_:		Union[str, Any]       			=    temp.next
         UpperCAmelCase_:		int       			=    temp
         UpperCAmelCase_:		Any       			=    temp.previous
         UpperCAmelCase_:		Any       			=    temp.next
      return delete_node.data

   def     __snake_case					(self,      SCREAMING_SNAKE_CASE_				)					->      str:
      UpperCAmelCase_:		Optional[int]       			=    self.head

      while current.data != data:  # Find the position to delete
         if current.next:
            UpperCAmelCase_:		str       			=    current.next
         else:  # We have reached the end an no value matches
            raise ValueError("""No data matching given value"""				)

      if current == self.head:
         self.delete_head()

      elif current == self.tail:
         self.delete_tail()

      else:  # Before: 1 <--> 2(current) <--> 3
         UpperCAmelCase_:		Union[str, Any]       			=    current.next  # 1 --> 3
         UpperCAmelCase_:		Optional[Any]       			=    current.previous  # 1 <--> 3
      return data

   def     __snake_case					(self				)					->      Tuple:
      return len(self				) == 0







def    lowerCAmelCase_  ():





   """simple docstring"""


   UpperCAmelCase_:		Optional[Any]       			=    DoublyLinkedList()
   assert linked_list.is_empty() is True
   assert str(lowerCAmelCase__     ) == ""

   try:
      linked_list.delete_head()
      raise AssertionError  # This should not happen.
   except IndexError:
      assert True  # This should happen.

   try:
      linked_list.delete_tail()
      raise AssertionError  # This should not happen.
   except IndexError:
      assert True  # This should happen.

   for i in range(1_0     ):
      assert len(lowerCAmelCase__     ) == i
      linked_list.insert_at_nth(lowerCAmelCase__		,	i + 1     )
   assert str(lowerCAmelCase__     ) == "->".join(str(lowerCAmelCase__     ) for i in range(1		,	1_1     )     )

   linked_list.insert_at_head(0     )
   linked_list.insert_at_tail(1_1     )
   assert str(lowerCAmelCase__     ) == "->".join(str(lowerCAmelCase__     ) for i in range(0		,	1_2     )     )

   assert linked_list.delete_head() == 0
   assert linked_list.delete_at_nth(9     ) == 1_0
   assert linked_list.delete_tail() == 1_1
   assert len(lowerCAmelCase__     ) == 9
   assert str(lowerCAmelCase__     ) == "->".join(str(lowerCAmelCase__     ) for i in range(1		,	1_0     )     )


if __name__ == "__main__":
 from doctest import testmod

 testmod()











from typing import TYPE_CHECKING

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


a			:     Union[str, Any]     = {
    'configuration_flaubert': ['FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FlaubertConfig', 'FlaubertOnnxConfig'],
    'tokenization_flaubert': ['FlaubertTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a			:     Optional[int]     = [
	    'FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'FlaubertForMultipleChoice',
	    'FlaubertForQuestionAnswering',
	    'FlaubertForQuestionAnsweringSimple',
	    'FlaubertForSequenceClassification',
	    'FlaubertForTokenClassification',
	    'FlaubertModel',
	    'FlaubertWithLMHeadModel',
	    'FlaubertPreTrainedModel',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a			:     Dict     = [
	    'TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'TFFlaubertForMultipleChoice',
	    'TFFlaubertForQuestionAnsweringSimple',
	    'TFFlaubertForSequenceClassification',
	    'TFFlaubertForTokenClassification',
	    'TFFlaubertModel',
	    'TFFlaubertPreTrainedModel',
	    'TFFlaubertWithLMHeadModel',
	]


if TYPE_CHECKING:
	from .configuration_flaubert import FLAUBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, FlaubertConfig, FlaubertOnnxConfig
	from .tokenization_flaubert import FlaubertTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flaubert import (
		    FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    FlaubertForMultipleChoice,
		    FlaubertForQuestionAnswering,
		    FlaubertForQuestionAnsweringSimple,
		    FlaubertForSequenceClassification,
		    FlaubertForTokenClassification,
		    FlaubertModel,
		    FlaubertPreTrainedModel,
		    FlaubertWithLMHeadModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_flaubert import (
		    TF_FLAUBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFFlaubertForMultipleChoice,
		    TFFlaubertForQuestionAnsweringSimple,
		    TFFlaubertForSequenceClassification,
		    TFFlaubertForTokenClassification,
		    TFFlaubertModel,
		    TFFlaubertPreTrainedModel,
		    TFFlaubertWithLMHeadModel,
		)

else:
	import sys

	a			:     Tuple     = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






