


"""simple docstring"""


import os
import unittest

from transformers import MPNetTokenizerFast
from transformers.models.mpnet.tokenization_mpnet import VOCAB_FILES_NAMES, MPNetTokenizer
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class snake_case					(     _UpperCamelCase   , unittest.TestCase):
		__UpperCamelCase							=	MPNetTokenizer
		__UpperCamelCase							=	MPNetTokenizerFast
		__UpperCamelCase							=	True
		__UpperCamelCase							=	True







		def        a_       (    self					:				Optional[Any]						)				->  Any:





						'''simple docstring'''







						super().setUp()

						_A         =	[
						    "[UNK]",
						    "[CLS]",
						    "[SEP]",
						    "[PAD]",
						    "[MASK]",
						    "want",
						    "##want",
						    "##ed",
						    "wa",
						    "un",
						    "runn",
						    "##ing",
						    ",",
						    "low",
						    "lowest",
						]
						_A         =	os.path.join(self.tmpdirname			,      VOCAB_FILES_NAMES["vocab_file"]						)
						with open(self.vocab_file			,      "w"			,      encoding="utf-8"						) as vocab_writer:
										vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)







		def        a_       (    self					:				List[str]			,      a__					:				Any						)				->  int:





						'''simple docstring'''







						_A         =	"UNwant\u00E9d,running"
						_A         =	"unwanted, running"
						return input_text, output_text







		def        a_       (    self					:				Tuple						)				->  Dict:





						'''simple docstring'''







						_A         =	self.tokenizer_class(self.vocab_file						)

						_A         =	tokenizer.tokenize("UNwant\u00E9d,running"						)
						self.assertListEqual(a__			,      ["un", "##want", "##ed", ",", "runn", "##ing"]						)
						self.assertListEqual(tokenizer.convert_tokens_to_ids(a__						)			,      [9, 6, 7, 12, 10, 11]						)







		@slow
		def        a_       (    self					:				Tuple						)				->  Any:





						'''simple docstring'''







						_A         =	self.tokenizer_class.from_pretrained("microsoft/mpnet-base"						)

						_A         =	tokenizer.encode("sequence builders"			,      add_special_tokens=a__						)
						_A         =	tokenizer.encode("multi-sequence build"			,      add_special_tokens=a__						)

						_A         =	tokenizer.build_inputs_with_special_tokens(a__						)
						_A         =	tokenizer.build_inputs_with_special_tokens(a__			,      a__						)

						assert encoded_sentence == [0] + text + [2]
						assert encoded_pair == [0] + text + [2] + [2] + text_a + [2]

"""simple docstring"""

class    _UpperCAmelCase							:




      def __init__(							self      ,				lowercase_=None							)  ->    Union[str, Any]:
          UpperCAmelCase  	=    data
          UpperCAmelCase  	=    None




      def __repr__(							self							)  ->    Tuple:
          UpperCAmelCase  	=    ''
          UpperCAmelCase  	=    self
          while temp:
              string_rep += F"<{temp.data}> ---> "
              UpperCAmelCase  	=    temp.next
          string_rep += "<END>"
          return string_rep




def 			lowercase__  (    lowerCAmelCase :    int       )       ->					List[Any]:






    """simple docstring"""




    if not elements_list:
        raise Exception('The Elements List is empty'       )

    # Set first element as Head
    UpperCAmelCase  	=    Node(elements_list[0]       )
    UpperCAmelCase  	=    head
    # Loop through elements from position 1
    for data in elements_list[1:]:
        UpperCAmelCase  	=    Node(lowerCAmelCase       )
        UpperCAmelCase  	=    current.next
    return head


SCREAMING_SNAKE_CASE_			    =  [1, 3, 5, 32, 44, 12, 43]
print(F'List: {list_data}')
print('''Creating Linked List from List.''')
SCREAMING_SNAKE_CASE_			    =  make_linked_list(list_data)
print('''Linked List:''')







print(linked_list)



