
"""simple docstring"""


from __future__ import annotations



class   __a  :






       def __init__(  self :							Optional[Any]       ,      UpperCAmelCase_ :							Tuple=None			)->  List[Any]:







              """simple docstring"""
              UpperCamelCase					 =		data
              UpperCamelCase					 =		None






       def __repr__(  self :							int			)->  Tuple:







              """simple docstring"""
              UpperCamelCase					 =		[]
              UpperCamelCase					 =		self
              while temp:
                     string_rep.append(f"{temp.data}"			)
                     UpperCamelCase					 =		temp.next
              return "->".join(UpperCAmelCase_			)





def 	lowerCamelCase__			(							UpperCAmelCase_				)->							Tuple:







       """simple docstring"""
       if not elements_list:
              raise Exception("The Elements List is empty"				)

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



def 	lowerCamelCase__			(							UpperCAmelCase_				)->							None:







       """simple docstring"""
       if head_node is not None and isinstance(UpperCAmelCase_		,      UpperCAmelCase_				):
              print_reverse(head_node.next				)
              print(head_node.data				)



def 	lowerCamelCase__			(							)->							Dict:







       """simple docstring"""
       from doctest import testmod

       testmod()

       UpperCamelCase					 =		make_linked_list([14, 52, 14, 12, 43]				)
       print("Linked List:"				)
       print(UpperCAmelCase_				)
       print("Elements in Reverse:"				)
       print_reverse(UpperCAmelCase_				)


if __name__ == "__main__":
      main()







"""simple docstring"""


import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class   __a  (      _lowerCAmelCase    ,     unittest.TestCase	):
       UpperCamelCase_		:					str   =			FunnelTokenizer
       UpperCamelCase_		:					Any   =			FunnelTokenizerFast
       UpperCamelCase_		:					Union[str, Any]   =			True
       UpperCamelCase_		:					Tuple   =			True






       def 	_SCREAMING_SNAKE_CASE       (  self :							Tuple			)->  Optional[int]:







              """simple docstring"""
              super().setUp()

              UpperCamelCase					 =		[
                  "<unk>",
                  "<cls>",
                  "<sep>",
                  "want",
                  "##want",
                  "##ed",
                  "wa",
                  "un",
                  "runn",
                  "##ing",
                  ",",
                  "low",
                  "lowest",
              ]
              UpperCamelCase					 =		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 	_SCREAMING_SNAKE_CASE       (  self :							Optional[int]       ,      **UpperCAmelCase_ :							Optional[Any]			)->  str:







              """simple docstring"""
              return FunnelTokenizer.from_pretrained(self.tmpdirname       ,      **UpperCAmelCase_			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Dict       ,      **UpperCAmelCase_ :							Any			)->  Union[str, Any]:







              """simple docstring"""
              return FunnelTokenizerFast.from_pretrained(self.tmpdirname       ,      **UpperCAmelCase_			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							Dict       ,      UpperCAmelCase_ :							Tuple			)->  str:







              """simple docstring"""
              UpperCamelCase					 =		"UNwant\u00E9d,running"
              UpperCamelCase					 =		"unwanted, running"
              return input_text, output_text






       def 	_SCREAMING_SNAKE_CASE       (  self :							str			)->  List[str]:







              """simple docstring"""
              UpperCamelCase					 =		self.tokenizer_class(self.vocab_file			)

              UpperCamelCase					 =		tokenizer.tokenize("UNwant\u00E9d,running"			)
              self.assertListEqual(UpperCAmelCase_       ,      ["un", "##want", "##ed", ",", "runn", "##ing"]			)
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase_			)       ,      [7, 4, 5, 10, 8, 9]			)






       def 	_SCREAMING_SNAKE_CASE       (  self :							List[Any]			)->  Optional[int]:







              """simple docstring"""
              UpperCamelCase					 =		self.get_tokenizers(do_lower_case=UpperCAmelCase_			)
              for tokenizer in tokenizers:
                     UpperCamelCase					 =		tokenizer("UNwant\u00E9d,running"			)
                     UpperCamelCase					 =		len(inputs["input_ids"]			) - 1
                     self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len			)

                     UpperCamelCase					 =		tokenizer("UNwant\u00E9d,running"       ,      "UNwant\u00E9d,running"			)
                     self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len + [1] * sentence_len			)





