




'''simple docstring'''



from __future__ import annotations


class 		_snake_case					:




					def __init__(      self							,							_lowerCamelCase=None):
								UpperCAmelCase__  :					Optional[Any]        =     data
								UpperCAmelCase__  :					List[Any]        =     None




					def __repr__(      self):
								UpperCAmelCase__  :					Union[str, Any]        =     []
								UpperCAmelCase__  :					str        =     self
								while temp:
											string_rep.append(f'''{temp.data}''')
											UpperCAmelCase__  :					int        =     temp.next
								return "->".join(_lowerCamelCase)







def     _UpperCamelCase      (		UpperCamelCase__					):
			if not elements_list:
						raise Exception("""The Elements List is empty"""					)

			UpperCAmelCase__  :					Any        =     Node(elements_list[0]					)
			for i in range(1 ,      len(UpperCamelCase__					)					):
						UpperCAmelCase__  :					Any        =     Node(elements_list[i]					)
						UpperCAmelCase__  :					Optional[Any]        =     current.next
			return head







def     _UpperCamelCase      (		UpperCamelCase__					):
			if head_node is not None and isinstance(UpperCamelCase__ ,      UpperCamelCase__					):
						print_reverse(head_node.next					)
						print(head_node.data					)







def     _UpperCamelCase      (		):
			from doctest import testmod

			testmod()

			UpperCAmelCase__  :					Optional[int]        =     make_linked_list([1_4, 5_2, 1_4, 1_2, 4_3]					)
			print("""Linked List:"""					)
			print(UpperCamelCase__					)
			print("""Elements in Reverse:"""					)
			print_reverse(UpperCamelCase__					)


if __name__ == "__main__":
		main()



'''simple docstring'''



from typing import TYPE_CHECKING

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


__A	={
    'configuration_nezha': ['NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'NezhaConfig'],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__A	=[
		    'NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'NezhaForNextSentencePrediction',
		    'NezhaForMaskedLM',
		    'NezhaForPreTraining',
		    'NezhaForMultipleChoice',
		    'NezhaForQuestionAnswering',
		    'NezhaForSequenceClassification',
		    'NezhaForTokenClassification',
		    'NezhaModel',
		    'NezhaPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_nezha import (
				    NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
				    NezhaForMaskedLM,
				    NezhaForMultipleChoice,
				    NezhaForNextSentencePrediction,
				    NezhaForPreTraining,
				    NezhaForQuestionAnswering,
				    NezhaForSequenceClassification,
				    NezhaForTokenClassification,
				    NezhaModel,
				    NezhaPreTrainedModel,
				)


else:
		import sys

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