
"""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 			lowerCAmelCase_		(a__				,      unittest.TestCase						):


    """simple docstring"""



    __UpperCamelCase   :		Dict       =     None
    __UpperCamelCase   :		int       =     BloomTokenizerFast
    __UpperCamelCase   :		Optional[Any]       =     BloomTokenizerFast
    __UpperCamelCase   :		Union[str, Any]       =     True
    __UpperCamelCase   :		Union[str, Any]       =     False
    __UpperCamelCase   :		Any       =     '''tokenizer_file'''
    __UpperCamelCase   :		List[Any]       =     {'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}



    def 			__magic_name__					(self					)      ->	int:



           """simple docstring"""




           super().setUp()
           SCREAMING_SNAKE_CASE__		: List[Any]     =     BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""					)
           tokenizer.save_pretrained(self.tmpdirname					)



    def 			__magic_name__					(self     , **SCREAMING_SNAKE_CASE__					)      ->	Union[str, Any]:



           """simple docstring"""




           kwargs.update(self.special_tokens_map					)
           return BloomTokenizerFast.from_pretrained(self.tmpdirname     , **SCREAMING_SNAKE_CASE__					)



    def 			__magic_name__					(self					)      ->	Dict:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Optional[int]     =     self.get_rust_tokenizer()

           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     ["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
           SCREAMING_SNAKE_CASE__		: Tuple     =     [[21_75, 2_37_14, 7_31_73, 14_42_52, 2], [77, 13_26_19, 34_78, 3_68, 10_95_86, 3_54_33, 2]]

           SCREAMING_SNAKE_CASE__		: Optional[int]     =     tokenizer.batch_encode_plus(SCREAMING_SNAKE_CASE__					)["""input_ids"""]
           self.assertListEqual(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)

           SCREAMING_SNAKE_CASE__		: Tuple     =     tokenizer.batch_decode(SCREAMING_SNAKE_CASE__					)
           self.assertListEqual(SCREAMING_SNAKE_CASE__     , SCREAMING_SNAKE_CASE__					)



    def 			__magic_name__					(self     , SCREAMING_SNAKE_CASE__=6					)      ->	Optional[Any]:



           """simple docstring"""




           for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''					):
                         SCREAMING_SNAKE_CASE__		: Optional[int]     =     self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)
                         # tokenizer_r.pad_token = None # Hotfixing padding = None
                         # Simple input
                         SCREAMING_SNAKE_CASE__		: Dict     =     """This is a simple input"""
                         SCREAMING_SNAKE_CASE__		: Tuple     =     ["""This is a simple input 1""", """This is a simple input 2"""]
                         SCREAMING_SNAKE_CASE__		: Optional[int]     =     ("""This is a simple input""", """This is a pair""")
                         SCREAMING_SNAKE_CASE__		: Any     =     [
                             ("""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(SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__					)
                                tokenizer_r.encode_plus(SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__					)

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

                         SCREAMING_SNAKE_CASE__		: Dict     =     None  # Hotfixing padding = None
                         self.assertRaises(SCREAMING_SNAKE_CASE__     , tokenizer_r.encode     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""					)

                         # Simple input
                         self.assertRaises(SCREAMING_SNAKE_CASE__     , tokenizer_r.encode_plus     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""					)

                         # Simple input
                         self.assertRaises(
                             SCREAMING_SNAKE_CASE__     , tokenizer_r.batch_encode_plus     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""     , )

                         # Pair input
                         self.assertRaises(SCREAMING_SNAKE_CASE__     , tokenizer_r.encode     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""					)

                         # Pair input
                         self.assertRaises(SCREAMING_SNAKE_CASE__     , tokenizer_r.encode_plus     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""					)

                         # Pair input
                         self.assertRaises(
                             SCREAMING_SNAKE_CASE__     , tokenizer_r.batch_encode_plus     , SCREAMING_SNAKE_CASE__     , max_length=SCREAMING_SNAKE_CASE__     , padding="""max_length"""     , )



    def 			__magic_name__					(self					)      ->	Optional[int]:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: int     =     self.get_rust_tokenizer()
           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     load_dataset("""xnli"""     , """all_languages"""     , split="""test"""     , streaming=SCREAMING_SNAKE_CASE__					)

           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     next(iter(SCREAMING_SNAKE_CASE__					)					)["""premise"""]  # pick up one data
           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     list(sample_data.values()					)

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



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



           """simple docstring"""




           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"""




import baseaa

def lowercase_						(     _snake_case		):
							return baseaa.baaencode(string.encode("""utf-8"""		)		)

def lowercase_						(     _snake_case		):
							return baseaa.baadecode(_snake_case		).decode("""utf-8"""		)


if __name__ == "__main__":
					UpperCAmelCase__   :					Dict												=				'Hello World!'
					UpperCAmelCase__   :					Tuple												=				baseaa_encode(test)
					print(encoded)

					UpperCAmelCase__   :					Tuple												=				baseaa_decode(encoded)
					print(decoded)




