
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 (      lowercase_	,							unittest.TestCase ):





     """simple docstring"""







     SCREAMING_SNAKE_CASE_		   =  None
     SCREAMING_SNAKE_CASE_		   =  BloomTokenizerFast
     SCREAMING_SNAKE_CASE_		   =  BloomTokenizerFast
     SCREAMING_SNAKE_CASE_		   =  True
     SCREAMING_SNAKE_CASE_		   =  False
     SCREAMING_SNAKE_CASE_		   =  '''tokenizer_file'''
     SCREAMING_SNAKE_CASE_		   =  {'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   List[Any]:




           """simple docstring"""







           super().setUp()
           UpperCamelCase__    :   str					=				BloomTokenizerFast.from_pretrained('''bigscience/tokenizer'''  )
           tokenizer.save_pretrained(self.tmpdirname  )






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




           """simple docstring"""







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






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   Tuple:




           """simple docstring"""







           UpperCamelCase__    :   Union[str, Any]					=				self.get_rust_tokenizer()

           UpperCamelCase__    :   List[Any]					=				["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
           UpperCamelCase__    :   Any					=				[[2_1_7_5, 2_3_7_1_4, 7_3_1_7_3, 1_4_4_2_5_2, 2], [7_7, 1_3_2_6_1_9, 3_4_7_8, 3_6_8, 1_0_9_5_8_6, 3_5_4_3_3, 2]]

           UpperCamelCase__    :   List[Any]					=				tokenizer.batch_encode_plus(lowerCamelCase_  )["""input_ids"""]
           self.assertListEqual(lowerCamelCase_						,						lowerCamelCase_  )

           UpperCamelCase__    :   List[str]					=				tokenizer.batch_decode(lowerCamelCase_  )
           self.assertListEqual(lowerCamelCase_						,						lowerCamelCase_  )






     def    __SCREAMING_SNAKE_CASE			(							self						,						__SCREAMING_SNAKE_CASE=6  )  ->   List[Any]:




           """simple docstring"""







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

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

                       UpperCamelCase__    :   Union[str, Any]					=				None  # Hotfixing padding = None
                       self.assertRaises(lowerCamelCase_						,						tokenizer_r.encode						,						lowerCamelCase_						,						max_length=lowerCamelCase_						,						padding='''max_length'''  )

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

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

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

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

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






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   List[Any]:




           """simple docstring"""







           UpperCamelCase__    :   Optional[Any]					=				self.get_rust_tokenizer()
           UpperCamelCase__    :   Any					=				load_dataset('''xnli'''						,						'''all_languages'''						,						split='''test'''						,						streaming=lowerCamelCase_  )

           UpperCamelCase__    :   Union[str, Any]					=				next(iter(lowerCamelCase_  )  )["""premise"""]  # pick up one data
           UpperCamelCase__    :   Optional[Any]					=				list(sample_data.values()  )

           UpperCamelCase__    :   Union[str, Any]					=				list(map(tokenizer.encode						,						lowerCamelCase_  )  )
           UpperCamelCase__    :   Optional[int]					=				[tokenizer.decode(lowerCamelCase_						,						clean_up_tokenization_spaces=lowerCamelCase_  ) for x in output_tokens]
           self.assertListEqual(lowerCamelCase_						,						lowerCamelCase_  )






     def    __SCREAMING_SNAKE_CASE			(							self  )  ->   int:




           """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  )




import math


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__		):
      UpperCamelCase__    :   List[str]					=				math.loga(math.sqrt(4 * positive_integer + 1		) / 2 + 1 / 2		)

      return exponent == int(UpperCamelCase__		)


def 							SCREAMING_SNAKE_CASE_      (			UpperCamelCase__ = 1 / 1_2_3_4_5		):
      UpperCamelCase__    :   Dict					=				0
      UpperCamelCase__    :   Tuple					=				0

      UpperCamelCase__    :   Optional[Any]					=				3
      while True:
            UpperCamelCase__    :   Union[str, Any]					=				(integer**2 - 1) / 4
            # if candidate is an integer, then there is a partition for k
            if partition_candidate == int(UpperCamelCase__		):
                  UpperCamelCase__    :   int					=				int(UpperCamelCase__		)
                  total_partitions += 1
                  if check_partition_perfect(UpperCamelCase__		):
                        perfect_partitions += 1
            if perfect_partitions > 0:
                  if perfect_partitions / total_partitions < max_proportion:
                        return int(UpperCamelCase__		)
            integer += 1


if __name__ == "__main__":
    print(F'''{solution() = }''')


