



'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Any





class 						_SCREAMING_SNAKE_CASE      :






			"""simple docstring"""







			def __init__(   self       , _snake_case    ):







				"""simple docstring"""



				__lowerCamelCase		       =		data
				__lowerCamelCase		       =		None





class 						_SCREAMING_SNAKE_CASE      :






			"""simple docstring"""







			def __init__(   self    ):







				"""simple docstring"""



				__lowerCamelCase		       =		None
				__lowerCamelCase		       =		None


			def __iter__(   self    ):







				"""simple docstring"""



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


			def __len__(   self    ):







				"""simple docstring"""



				return sum(1 for _ in self    )


			def __repr__(   self    ):







				"""simple docstring"""



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


			def 						_lowerCamelCase       (   self       , _snake_case    ):







				"""simple docstring"""



				self.insert_nth(len(self    )       , __UpperCAmelCase    )


			def 						_lowerCamelCase       (   self       , _snake_case    ):







				"""simple docstring"""



				self.insert_nth(0       , __UpperCAmelCase    )


			def 						_lowerCamelCase       (   self       , _snake_case       , _snake_case    ):







				"""simple docstring"""



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


			def 						_lowerCamelCase       (   self    ):







				"""simple docstring"""



				return self.delete_nth(0    )


			def 						_lowerCamelCase       (   self    ):







				"""simple docstring"""



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


			def 						_lowerCamelCase       (   self       , _snake_case = 0    ):







				"""simple docstring"""



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


			def 						_lowerCamelCase       (   self    ):







				"""simple docstring"""



				return len(self    ) == 0

def  lowerCamelCase_					(       ):
	__lowerCamelCase		       =		CircularLinkedList()
	assert len(A_				) == 0
	assert circular_linked_list.is_empty() is True
	assert str(A_				) == ""

	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(A_				) == i
		circular_linked_list.insert_nth(A_    ,				i + 1				)
	assert str(A_				) == "->".join(str(A_				) for i in range(1    ,				6				)				)

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

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

	circular_linked_list.insert_nth(2    ,				3				)
	assert str(A_				) == "->".join(str(A_				) 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_tokenizers_available, is_torch_available


UpperCAmelCase__							  =						{
    "configuration_biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig"],
    "tokenization_biogpt": ["BioGptTokenizer"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						[
         "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BioGptForCausalLM",
         "BioGptForTokenClassification",
         "BioGptForSequenceClassification",
         "BioGptModel",
         "BioGptPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

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


