"""simple docstring"""


class        __UpperCAmelCase						:

				def __init__(				self     ,			_lowerCamelCase				):
										lowerCamelCase__ =data
										lowerCamelCase__ =None
										lowerCamelCase__ =None






				def __str__(				self				):
										return F'''{self.data}'''






class        __UpperCAmelCase						:

				def __init__(				self				):
										lowerCamelCase__ =None
										lowerCamelCase__ =None

				def __iter__(				self				):
										lowerCamelCase__ =self.head
										while node:
																yield node.data
																lowerCamelCase__ =node.next

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

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

				def 		_a     (				self     ,			_lowerCamelCase				):
										self.insert_at_nth(0     ,			snake_case_				)

				def 		_a     (				self     ,			_lowerCamelCase				):
										self.insert_at_nth(len(self				)     ,			snake_case_				)

				def 		_a     (				self     ,			_lowerCamelCase     ,			_lowerCamelCase				):
										lowerCamelCase__ =len(self				)

										if not 0 <= index <= length:
																raise IndexError("list index out of range"				)
										lowerCamelCase__ =Node(snake_case_				)
										if self.head is None:
																lowerCamelCase__ =new_node
										elif index == 0:
																lowerCamelCase__ =new_node
																lowerCamelCase__ =self.head
																lowerCamelCase__ =new_node
										elif index == length:
																lowerCamelCase__ =new_node
																lowerCamelCase__ =self.tail
																lowerCamelCase__ =new_node
										else:
																lowerCamelCase__ =self.head
																for _ in range(0     ,			snake_case_				):
																						lowerCamelCase__ =temp.next
																lowerCamelCase__ =new_node
																lowerCamelCase__ =temp.previous
																lowerCamelCase__ =temp
																lowerCamelCase__ =new_node

				def 		_a     (				self				):
										return self.delete_at_nth(0				)

				def 		_a     (				self				):
										return self.delete_at_nth(len(self				) - 1				)

				def 		_a     (				self     ,			_lowerCamelCase				):
										lowerCamelCase__ =len(self				)

										if not 0 <= index <= length - 1:
																raise IndexError("list index out of range"				)
										lowerCamelCase__ =self.head  # default first node
										if length == 1:
																lowerCamelCase__ =None
										elif index == 0:
																lowerCamelCase__ =self.head.next
																lowerCamelCase__ =None
										elif index == length - 1:
																lowerCamelCase__ =self.tail
																lowerCamelCase__ =self.tail.previous
																lowerCamelCase__ =None
										else:
																lowerCamelCase__ =self.head
																for _ in range(0     ,			snake_case_				):
																						lowerCamelCase__ =temp.next
																lowerCamelCase__ =temp
																lowerCamelCase__ =temp.previous
																lowerCamelCase__ =temp.next
										return delete_node.data

				def 		_a     (				self     ,			_lowerCamelCase				):
										lowerCamelCase__ =self.head

										while current.data != data:  # Find the position to delete
																if current.next:
																						lowerCamelCase__ =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
																lowerCamelCase__ =current.next  # 1 --> 3
																lowerCamelCase__ =current.previous  # 1 <--> 3
										return data






				def 		_a     (				self				):
										return len(self				) == 0





def       lowerCamelCase_			( )							-> None:
						lowerCamelCase__ =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(10    ):
												assert len(_lowerCamelCase    ) == i
												linked_list.insert_at_nth(_lowerCamelCase       ,   i + 1    )
						assert str(_lowerCamelCase    ) == "->".join(str(_lowerCamelCase    ) for i in range(1       ,   11    )    )

						linked_list.insert_at_head(0    )
						linked_list.insert_at_tail(11    )
						assert str(_lowerCamelCase    ) == "->".join(str(_lowerCamelCase    ) for i in range(0       ,   12    )    )

						assert linked_list.delete_head() == 0
						assert linked_list.delete_at_nth(9    ) == 10
						assert linked_list.delete_tail() == 11
						assert len(_lowerCamelCase    ) == 9
						assert str(_lowerCamelCase    ) == "->".join(str(_lowerCamelCase    ) for i in range(1       ,   10    )    )


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

	testmod()



"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a							={
    'configuration_openai': ['OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OpenAIGPTConfig'],
    'tokenization_openai': ['OpenAIGPTTokenizer'],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a							=['OpenAIGPTTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a							=[
	    'OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'OpenAIGPTDoubleHeadsModel',
	    'OpenAIGPTForSequenceClassification',
	    'OpenAIGPTLMHeadModel',
	    'OpenAIGPTModel',
	    'OpenAIGPTPreTrainedModel',
	    'load_tf_weights_in_openai_gpt',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a							=[
	    'TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'TFOpenAIGPTDoubleHeadsModel',
	    'TFOpenAIGPTForSequenceClassification',
	    'TFOpenAIGPTLMHeadModel',
	    'TFOpenAIGPTMainLayer',
	    'TFOpenAIGPTModel',
	    'TFOpenAIGPTPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_openai import OPENAI_GPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OpenAIGPTConfig
	from .tokenization_openai import OpenAIGPTTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_openai_fast import OpenAIGPTTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_openai import (
		    OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    OpenAIGPTDoubleHeadsModel,
		    OpenAIGPTForSequenceClassification,
		    OpenAIGPTLMHeadModel,
		    OpenAIGPTModel,
		    OpenAIGPTPreTrainedModel,
		    load_tf_weights_in_openai_gpt,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_openai import (
		    TF_OPENAI_GPT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFOpenAIGPTDoubleHeadsModel,
		    TFOpenAIGPTForSequenceClassification,
		    TFOpenAIGPTLMHeadModel,
		    TFOpenAIGPTMainLayer,
		    TFOpenAIGPTModel,
		    TFOpenAIGPTPreTrainedModel,
		)

else:
	import sys

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


