



from __future__ import annotations

from typing import Any


class 	lowerCamelCase__	(       _A):



 """simple docstring"""

 pass


class 	lowerCamelCase__	:



 """simple docstring"""

 def __init__(    self					:					int			,						__lowerCAmelCase					:					Any      )   ->	None:
    _A      =       data
    _A      =       None

 def __iter__(    self					:					int      )   ->	Optional[Any]:
    _A      =       self
    _A      =       []
    while node:
       if node in visited:
          raise ContainsLoopError
       visited.append(__lowerCAmelCase      )
       yield node.data
       _A      =       node.next_node

 @property
 def     snake_case_      (    self					:					str      )   ->	bool:
    try:
       list(self      )
       return False
    except ContainsLoopError:
       return True


if __name__ == "__main__":
   UpperCAmelCase_		 =					Node(1)
   UpperCAmelCase_		 =					Node(2)
   UpperCAmelCase_		 =					Node(3)
   UpperCAmelCase_		 =					Node(4)
   print(root_node.has_loop)  # False
   UpperCAmelCase_		 =					root_node.next_node
   print(root_node.has_loop)  # True

   UpperCAmelCase_		 =					Node(5)
   UpperCAmelCase_		 =					Node(6)
   UpperCAmelCase_		 =					Node(5)
   UpperCAmelCase_		 =					Node(6)
   print(root_node.has_loop)  # False

   UpperCAmelCase_		 =					Node(1)
   print(root_node.has_loop)  # False






import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 						__magic_name__					(							snake_case			,      unittest.TestCase				):
     UpperCamelCase_	:List[Any]										=      LayoutLMTokenizer
     UpperCamelCase_	:Dict										=      LayoutLMTokenizerFast
     UpperCamelCase_	:List[str]										=      True
     UpperCamelCase_	:Dict										=      True






     def 	UpperCAmelCase_				(				self	)->     str:
         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 	UpperCAmelCase_				(				self		,						**_lowercase	)->     List[str]:
         return LayoutLMTokenizer.from_pretrained(self.tmpdirname		,						**_lowercase	)






     def 	UpperCAmelCase_				(				self		,						_lowercase	)->     Union[str, Any]:
         UpperCamelCase_			  =						"UNwant\u00E9d,running"
         UpperCamelCase_			  =						"unwanted, running"
         return input_text, output_text






     def 	UpperCAmelCase_				(				self	)->     Tuple:
         UpperCamelCase_			  =						self.tokenizer_class(self.vocab_file	)

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






     def 	UpperCAmelCase_				(				self	)->     Dict:
         pass
