from __future__ import annotations

from collections.abc import Iterator
from typing import Any
class SCREAMING_SNAKE_CASE_						:







   def __init__(			self		:		str					,					lowerCamelCase_		:		int							):





    """simple docstring"""


    UpperCamelCase          =	data
    UpperCamelCase          =	None





class SCREAMING_SNAKE_CASE_						:







   def __init__(			self		:		Tuple							):





    """simple docstring"""


    UpperCamelCase          =	None
    UpperCamelCase          =	None







   def __iter__(			self		:		str							):





    """simple docstring"""


    UpperCamelCase          =	self.head
    while self.head:
     yield node.data
     UpperCamelCase          =	node.next
     if node == self.head:
      break







   def __len__(			self		:		Tuple							):





    """simple docstring"""


    return sum(1 for _ in self							)







   def __repr__(			self		:		Optional[Any]							):





    """simple docstring"""


    return "->".join(str(A__							) for item in iter(self							)							)







   def 		lowerCamelCase_     (			self		:		List[str]					,					lowerCamelCase_		:		Tuple							):





    """simple docstring"""


    self.insert_nth(len(self							)					,					A__							)







   def 		lowerCamelCase_     (			self		:		List[Any]					,					lowerCamelCase_		:		Tuple							):





    """simple docstring"""


    self.insert_nth(0					,					A__							)







   def 		lowerCamelCase_     (			self		:		Optional[Any]					,					lowerCamelCase_		:		Union[str, Any]					,					lowerCamelCase_		:		Any							):





    """simple docstring"""


    if index < 0 or index > len(self							):
     raise IndexError("""list index out of range."""							)
    UpperCamelCase          =	Node(A__							)
    if self.head is None:
     UpperCamelCase          =	new_node  # first node points itself
     UpperCamelCase          =	new_node
    elif index == 0:  # insert at head
     UpperCamelCase          =	self.head
     UpperCamelCase          =	new_node
    else:
     UpperCamelCase          =	self.head
     for _ in range(index - 1							):
      UpperCamelCase          =	temp.next
     UpperCamelCase          =	temp.next
     UpperCamelCase          =	new_node
     if index == len(self							) - 1:  # insert at tail
      UpperCamelCase          =	new_node







   def 		lowerCamelCase_     (			self		:		Tuple							):





    """simple docstring"""


    return self.delete_nth(0							)







   def 		lowerCamelCase_     (			self		:		str							):





    """simple docstring"""


    return self.delete_nth(len(self							) - 1							)







   def 		lowerCamelCase_     (			self		:		Any					,					lowerCamelCase_		:		Optional[int] = 0							):





    """simple docstring"""


    if not 0 <= index < len(self							):
     raise IndexError("""list index out of range."""							)
    UpperCamelCase          =	self.head
    if self.head == self.tail:  # just one node
     UpperCamelCase          =	None
    elif index == 0:  # delete head node
     UpperCamelCase          =	self.tail.next.next
     UpperCamelCase          =	self.head.next
    else:
     UpperCamelCase          =	self.head
     for _ in range(index - 1							):
      UpperCamelCase          =	temp.next
     UpperCamelCase          =	temp.next
     UpperCamelCase          =	temp.next.next
     if index == len(self							) - 1:  # delete at tail
      UpperCamelCase          =	temp
    return delete_node.data







   def 		lowerCamelCase_     (			self		:		Optional[Any]							):





    """simple docstring"""


    return len(self							) == 0





def        lowercase(     )						->     None:







 '''simple docstring'''
 UpperCamelCase          =	CircularLinkedList()
 assert len(lowercase_    ) == 0
 assert circular_linked_list.is_empty() is True
 assert str(lowercase_    ) == ""

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

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

 try:
  circular_linked_list.delete_nth(-1    )
  raise AssertionError
 except IndexError:
  assert True

 try:
  circular_linked_list.delete_nth(0    )
  raise AssertionError
 except IndexError:
  assert True

 assert circular_linked_list.is_empty() is True
 for i in range(5    ):
  assert len(lowercase_    ) == i
  circular_linked_list.insert_nth(lowercase_				, i + 1    )
 assert str(lowercase_    ) == "->".join(str(lowercase_    ) for i in range(1				, 6    )    )

 circular_linked_list.insert_tail(6    )
 assert str(lowercase_    ) == "->".join(str(lowercase_    ) for i in range(1				, 7    )    )
 circular_linked_list.insert_head(0    )
 assert str(lowercase_    ) == "->".join(str(lowercase_    ) for i in range(0				, 7    )    )

 assert circular_linked_list.delete_front() == 0
 assert circular_linked_list.delete_tail() == 6
 assert str(lowercase_    ) == "->".join(str(lowercase_    ) for i in range(1				, 6    )    )
 assert circular_linked_list.delete_nth(2    ) == 3

 circular_linked_list.insert_nth(2				, 3    )
 assert str(lowercase_    ) == "->".join(str(lowercase_    ) for i in range(1				, 6    )    )

 assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_       : Optional[int]         =			{'configuration_ibert': ['IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'IBertConfig', 'IBertOnnxConfig']}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_       : str         =			[
	    'IBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'IBertForMaskedLM',
	    'IBertForMultipleChoice',
	    'IBertForQuestionAnswering',
	    'IBertForSequenceClassification',
	    'IBertForTokenClassification',
	    'IBertModel',
	    'IBertPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_ibert import (
		    IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    IBertForMaskedLM,
		    IBertForMultipleChoice,
		    IBertForQuestionAnswering,
		    IBertForSequenceClassification,
		    IBertForTokenClassification,
		    IBertModel,
		    IBertPreTrainedModel,
		)

else:
	import sys

	A_       : Union[str, Any]         =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



