



"""simple docstring"""

import unittest

from datasets import load_dataset

from transformers import BloomTokenizerFast
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class        _UpperCAmelCase       (			lowerCAmelCase__    ,     unittest.TestCase):
 _lowerCAmelCase   :			int							=		None
 _lowerCAmelCase   :			Optional[Any]							=		BloomTokenizerFast
 _lowerCAmelCase   :			Any							=		BloomTokenizerFast
 _lowerCAmelCase   :			List[Any]							=		True
 _lowerCAmelCase   :			Dict							=		False
 _lowerCAmelCase   :			List[Any]							=		"""tokenizer_file"""
 _lowerCAmelCase   :			List[Any]							=		{"""bos_token""": """<s>""", """eos_token""": """</s>""", """unk_token""": """<unk>""", """pad_token""": """<pad>"""}

 def 						_snake_case					(     self		:       Tuple				):
     super().setUp()
     snake_case_ :     Dict				=	BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''				)
     tokenizer.save_pretrained(self.tmpdirname				)

 def 						_snake_case					(     self		:       List[str]  ,     **lowercase_		:       Optional[int]				):
     kwargs.update(self.special_tokens_map				)
     return BloomTokenizerFast.from_pretrained(self.tmpdirname  ,     **lowercase_				)

 def 						_snake_case					(     self		:       Dict				):
     snake_case_ :     Dict				=	self.get_rust_tokenizer()

     snake_case_ :     Optional[int]				=	['''The quick brown fox</s>''', '''jumps over the lazy dog</s>''']
     snake_case_ :     Optional[int]				=	[[2175, 23714, 73173, 144252, 2], [77, 132619, 3478, 368, 109586, 35433, 2]]

     snake_case_ :     Union[str, Any]				=	tokenizer.batch_encode_plus(lowercase_				)['''input_ids''']
     self.assertListEqual(lowercase_  ,     lowercase_				)

     snake_case_ :     Dict				=	tokenizer.batch_decode(lowercase_				)
     self.assertListEqual(lowercase_  ,     lowercase_				)

 def 						_snake_case					(     self		:       List[Any]  ,     lowercase_		:       Dict=6				):
     for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"				):
             snake_case_ :     Dict				=	self.rust_tokenizer_class.from_pretrained(lowercase_  ,     **lowercase_				)
             # tokenizer_r.pad_token = None # Hotfixing padding = None
             # Simple input
             snake_case_ :     List[Any]				=	'''This is a simple input'''
             snake_case_ :     Optional[Any]				=	['''This is a simple input 1''', '''This is a simple input 2''']
             snake_case_ :     List[Any]				=	('''This is a simple input''', '''This is a pair''')
             snake_case_ :     Dict				=	[
                 ('''This is a simple input 1''', '''This is a simple input 2'''),
                 ('''This is a simple pair 1''', '''This is a simple pair 2'''),
             ]

             # Simple input tests
             try:
                 tokenizer_r.encode(lowercase_  ,     max_length=lowercase_				)
                 tokenizer_r.encode_plus(lowercase_  ,     max_length=lowercase_				)

                 tokenizer_r.batch_encode_plus(lowercase_  ,     max_length=lowercase_				)
                 tokenizer_r.encode(lowercase_  ,     max_length=lowercase_				)
                 tokenizer_r.batch_encode_plus(lowercase_  ,     max_length=lowercase_				)
             except ValueError:
                 self.fail('''Bloom Tokenizer should be able to deal with padding'''				)

             snake_case_ :     Tuple				=	None  # Hotfixing padding = None
             self.assertRaises(lowercase_  ,     tokenizer_r.encode  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''				)

             # Simple input
             self.assertRaises(lowercase_  ,     tokenizer_r.encode_plus  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''				)

             # Simple input
             self.assertRaises(
                 lowercase_  ,     tokenizer_r.batch_encode_plus  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''  ,     )

             # Pair input
             self.assertRaises(lowercase_  ,     tokenizer_r.encode  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''				)

             # Pair input
             self.assertRaises(lowercase_  ,     tokenizer_r.encode_plus  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''				)

             # Pair input
             self.assertRaises(
                 lowercase_  ,     tokenizer_r.batch_encode_plus  ,     lowercase_  ,     max_length=lowercase_  ,     padding='''max_length'''  ,     )

 def 						_snake_case					(     self		:       Any				):
     snake_case_ :     List[str]				=	self.get_rust_tokenizer()
     snake_case_ :     str				=	load_dataset('''xnli'''  ,     '''all_languages'''  ,     split='''test'''  ,     streaming=lowercase_				)

     snake_case_ :     int				=	next(iter(lowercase_				)				)['''premise''']  # pick up one data
     snake_case_ :     int				=	list(sample_data.values()				)

     snake_case_ :     List[Any]				=	list(map(tokenizer.encode  ,     lowercase_				)				)
     snake_case_ :     Dict				=	[tokenizer.decode(lowercase_  ,     clean_up_tokenization_spaces=lowercase_				) for x in output_tokens]
     self.assertListEqual(lowercase_  ,     lowercase_				)






 def 						_snake_case					(     self		:       Any				):
     # The test has to be overriden because BLOOM uses ALiBi positional embeddings that does not have
     # any sequence length constraints. This test of the parent class will fail since it relies on the
     # maximum sequence length of the positoonal embeddings.
     self.assertGreaterEqual(len(self.tokenizer_class.pretrained_vocab_files_map				)  ,     1				)
     self.assertGreaterEqual(len(list(self.tokenizer_class.pretrained_vocab_files_map.values()				)[0]				)  ,     1				)










"""simple docstring"""

def __lowercase			(							_a		,			_a		,			_a=False    ):

    if isinstance(_a		,			_a    ) and isinstance(_a		,			_a    ):
        snake_case_ :     Union[str, Any]				=	len(set_a.intersection(_a    )    )

        if alternative_union:
            snake_case_ :     Any				=	len(_a    ) + len(_a    )
        else:
            snake_case_ :     str				=	len(set_a.union(_a    )    )

        return intersection / union

    if isinstance(_a		,			(list, tuple)    ) and isinstance(_a		,			(list, tuple)    ):
        snake_case_ :     str				=	[element for element in set_a if element in set_b]

        if alternative_union:
            snake_case_ :     Tuple				=	len(_a    ) + len(_a    )
            return len(_a    ) / union
        else:
            snake_case_ :     List[Any]				=	set_a + [element for element in set_b if element not in set_a]
            return len(_a    ) / len(_a    )

        return len(_a    ) / len(_a    )
    return None


if __name__ == "__main__":
     lowercase__    :  Any							    =	{'''a''', '''b''', '''c''', '''d''', '''e'''}
     lowercase__    :  Optional[Any]							    =	{'''c''', '''d''', '''e''', '''f''', '''h''', '''i'''}
     print(jaccard_similarity(set_a, set_b))





