





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 						UpperCamelCase__					( __UpperCAmelCase				, unittest.TestCase  ):



     '''simple docstring'''

     __snake_case       :      Dict						      =     MPNetTokenizer
     __snake_case       :      int						      =     MPNetTokenizerFast
     __snake_case       :      Tuple						      =     True
     __snake_case       :      List[Any]						      =     True






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




           '''simple docstring'''


           super().setUp()

           SCREAMING_SNAKE_CASE						=		[
               '''[UNK]''',
               '''[CLS]''',
               '''[SEP]''',
               '''[PAD]''',
               '''[MASK]''',
               '''want''',
               '''##want''',
               '''##ed''',
               '''wa''',
               '''un''',
               '''runn''',
               '''##ing''',
               ''',''',
               '''low''',
               '''lowest''',
           ]
           SCREAMING_SNAKE_CASE						=		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		:       List[Any]		,lowerCamelCase__		:       int			)	->						Optional[Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE						=		'''UNwant\u00E9d,running'''
           SCREAMING_SNAKE_CASE						=		'''unwanted, running'''
           return input_text, output_text






     def 							SCREAMING_SNAKE_CASE__    (				self		:       int			)	->						Dict:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE						=		self.tokenizer_class(self.vocab_file			)

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






     @slow
     def 							SCREAMING_SNAKE_CASE__    (				self		:       Dict			)	->						Optional[Any]:




           '''simple docstring'''


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

           SCREAMING_SNAKE_CASE						=		tokenizer.encode("""sequence builders"""		,add_special_tokens=_lowerCamelCase			)
           SCREAMING_SNAKE_CASE						=		tokenizer.encode("""multi-sequence build"""		,add_special_tokens=_lowerCamelCase			)

           SCREAMING_SNAKE_CASE						=		tokenizer.build_inputs_with_special_tokens(_lowerCamelCase			)
           SCREAMING_SNAKE_CASE						=		tokenizer.build_inputs_with_special_tokens(_lowerCamelCase		,_lowerCamelCase			)

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








"""simple docstring"""

class 							lowercase   :







				def __init__(				self :       Union[str, Any]   ,  _lowerCamelCase :       int							):



					"""simple docstring"""

					A_	:					Optional[int]						 =		data
					A_	:					int
					A_	:					Node

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					List[str]						 =		0
	A_	:					List[str]						 =		x

def 		lowercase_   (		_UpperCAmelCase	,   _UpperCAmelCase						):




	"""simple docstring"""






	A_ ,			A_	:					Any						 =		find_set(_UpperCAmelCase						), find_set(_UpperCAmelCase						)
	if x == y:
		return

	elif x.rank > y.rank:
		A_	:					Optional[int]						 =		x
	else:
		A_	:					Optional[int]						 =		y
		if x.rank == y.rank:
			y.rank += 1

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	if x != x.parent:
		A_	:					Union[str, Any]						 =		find_set(x.parent						)
	return x.parent

def 		lowercase_   (		_UpperCAmelCase						):




	"""simple docstring"""






	A_	:					str						 =		({0, 1, 2}, {3, 4, 5})
	for s in sets:
		if node.data in s:
			return s
	A_	:					Optional[int]						 =		f"""{node.data} is not in {sets}"""
	raise ValueError(_UpperCAmelCase						)

def 		lowercase_   (		):




	"""simple docstring"""






	A_	:					Dict						 =		[Node(_UpperCAmelCase						) for i in range(6						)]
	for v in vertex:
		make_set(_UpperCAmelCase						)

	union_set(vertex[0]	,   vertex[1]						)
	union_set(vertex[1]	,   vertex[2]						)
	union_set(vertex[3]	,   vertex[4]						)
	union_set(vertex[3]	,   vertex[5]						)

	for nodea in vertex:
		for nodea in vertex:
			if find_python_set(_UpperCAmelCase						).isdisjoint(find_python_set(_UpperCAmelCase						)						):
				assert find_set(_UpperCAmelCase						) != find_set(_UpperCAmelCase						)
			else:
				assert find_set(_UpperCAmelCase						) == find_set(_UpperCAmelCase						)


if __name__ == "__main__":
		test_disjoint_set()





