





from transformers import (
    DPRContextEncoderTokenizer,
    DPRContextEncoderTokenizerFast,
    DPRQuestionEncoderTokenizer,
    DPRQuestionEncoderTokenizerFast,
    DPRReaderOutput,
    DPRReaderTokenizer,
    DPRReaderTokenizerFast,
)
from transformers.testing_utils import require_tokenizers, slow
from transformers.tokenization_utils_base import BatchEncoding

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class 	__magic_name__				(       __SCREAMING_SNAKE_CASE							):
     UpperCamelCase_  :Union[str, Any]								=			DPRContextEncoderTokenizer
     UpperCamelCase_  :Dict								=			DPRContextEncoderTokenizerFast
     UpperCamelCase_  :Tuple								=			True






@require_tokenizers
class 	__magic_name__				(       __SCREAMING_SNAKE_CASE							):
     UpperCamelCase_  :Any								=			DPRQuestionEncoderTokenizer
     UpperCamelCase_  :List[str]								=			DPRQuestionEncoderTokenizerFast
     UpperCamelCase_  :Dict								=			True






@require_tokenizers
class 	__magic_name__				(       __SCREAMING_SNAKE_CASE							):
     UpperCamelCase_  :str								=			DPRReaderTokenizer
     UpperCamelCase_  :Any								=			DPRReaderTokenizerFast
     UpperCamelCase_  :Optional[int]								=			True






     @slow
     def   UpperCAmelCase_							(							self  )->    Union[str, Any]:
         UpperCamelCase_      =	self.tokenizer_class.from_pretrained("bert-base-uncased"  )

         UpperCamelCase_      =	tokenizer.encode("question sequence"		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	tokenizer.encode("title sequence"		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	tokenizer.encode("text sequence " * 4		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	[[101] + text_a + [102] + text_a + [102] + text_a]
         UpperCamelCase_      =	BatchEncoding({"input_ids": input_ids}  )

         UpperCamelCase_      =	[[0] * len(input_ids[0]  )]
         UpperCamelCase_      =	[[0] * len(input_ids[0]  )]
         UpperCamelCase_      =	[0]
         UpperCamelCase_      =	DPRReaderOutput(UpperCamelCase__		,	UpperCamelCase__		,	UpperCamelCase__  )

         UpperCamelCase_      =	8, 9
         UpperCamelCase_      =	10
         UpperCamelCase_      =	10
         UpperCamelCase_      =	tokenizer.decode_best_spans(UpperCamelCase__		,	UpperCamelCase__  )
         self.assertEqual(predicted_spans[0].start_index		,	UpperCamelCase__  )
         self.assertEqual(predicted_spans[0].end_index		,	UpperCamelCase__  )
         self.assertEqual(predicted_spans[0].doc_id		,	0  )






     @slow
     def   UpperCAmelCase_							(							self  )->    str:
         UpperCamelCase_      =	self.tokenizer_class.from_pretrained("bert-base-uncased"  )

         UpperCamelCase_      =	tokenizer.encode("question sequence"		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	tokenizer.encode("title sequence"		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	tokenizer.encode("text sequence"		,	add_special_tokens=UpperCamelCase__  )
         UpperCamelCase_      =	[101] + text_a + [102] + text_a + [102] + text_a
         UpperCamelCase_      =	tokenizer(questions=["question sequence"]		,	titles=["title sequence"]		,	texts=["text sequence"]  )
         self.assertIn("input_ids"		,	UpperCamelCase__  )
         self.assertIn("attention_mask"		,	UpperCamelCase__  )
         self.assertListEqual(encoded_input["input_ids"][0]		,	UpperCamelCase__  )



class 	__magic_name__				:






     def __init__(							self		,	_lowercase  )->    None:
         UpperCamelCase_      =	data
         UpperCamelCase_      =	42
         UpperCamelCase_      =	42




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	None:



    """simple docstring"""






    UpperCamelCase_      =	0
    UpperCamelCase_      =	x




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ ,	SCREAMING_SNAKE_CASE_ )->	None:



    """simple docstring"""






    UpperCamelCase_     ,					UpperCamelCase_      =	find_set(SCREAMING_SNAKE_CASE_ ), find_set(SCREAMING_SNAKE_CASE_ )
    if x == y:
        return

    elif x.rank > y.rank:
        UpperCamelCase_      =	x
    else:
        UpperCamelCase_      =	y
        if x.rank == y.rank:
            y.rank += 1




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	Node:



    """simple docstring"""






    if x != x.parent:
        UpperCamelCase_      =	find_set(x.parent )
    return x.parent




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	set:



    """simple docstring"""






    UpperCamelCase_      =	({0, 1, 2}, {3, 4, 5})
    for s in sets:
        if node.data in s:
            return s
    UpperCamelCase_      =	f"{node.data} is not in {sets}"
    raise ValueError(SCREAMING_SNAKE_CASE_ )




def  lowerCAmelCase(			)->	None:



    """simple docstring"""






    UpperCamelCase_      =	[Node(SCREAMING_SNAKE_CASE_ ) for i in range(6 )]
    for v in vertex:
        make_set(SCREAMING_SNAKE_CASE_ )

    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(SCREAMING_SNAKE_CASE_ ).isdisjoint(find_python_set(SCREAMING_SNAKE_CASE_ ) ):
                assert find_set(SCREAMING_SNAKE_CASE_ ) != find_set(SCREAMING_SNAKE_CASE_ )
            else:
                assert find_set(SCREAMING_SNAKE_CASE_ ) == find_set(SCREAMING_SNAKE_CASE_ )


if __name__ == "__main__":
 test_disjoint_set()
