





'''simple docstring'''



from __future__ import annotations






class 							__lowercase    :


	def __init__(self       ,_lowerCamelCase=None	)							->							int:







				'''simple docstring'''





				__lowercase			  =							data
				__lowercase			  =							None


	def __repr__(self	)							->							Optional[int]:







				'''simple docstring'''





				__lowercase			  =							[]
				__lowercase			  =							self
				while temp:
							string_rep.append(f"{temp.data}"	)
							__lowercase			  =							temp.next
				return "->".join(lowercase_	)





def 				_lowerCAmelCase  (			lowerCamelCase_     :					list			):
			if not elements_list:
						raise Exception('''The Elements List is empty'''			)

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




def 				_lowerCAmelCase  (			lowerCamelCase_     :					Node			):
			if head_node is not None and isinstance(UpperCAmelCase__						,    UpperCAmelCase__			):
						print_reverse(head_node.next			)
						print(head_node.data			)




def 				_lowerCAmelCase  (			):
			from doctest import testmod

			testmod()

			__lowercase			  =							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


_SCREAMING_SNAKE_CASE   =      {
    '''configuration_mvp''': ['''MVP_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MvpConfig''', '''MvpOnnxConfig'''],
    '''tokenization_mvp''': ['''MvpTokenizer'''],
}

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

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_SCREAMING_SNAKE_CASE   =      [
	    '''MVP_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''MvpForCausalLM''',
	    '''MvpForConditionalGeneration''',
	    '''MvpForQuestionAnswering''',
	    '''MvpForSequenceClassification''',
	    '''MvpModel''',
	    '''MvpPreTrainedModel''',
	]

if TYPE_CHECKING:
	from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
	from .tokenization_mvp import MvpTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mvp_fast import MvpTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mvp import (
		    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MvpForCausalLM,
		    MvpForConditionalGeneration,
		    MvpForQuestionAnswering,
		    MvpForSequenceClassification,
		    MvpModel,
		    MvpPreTrainedModel,
		)

else:
	import sys

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





