





'''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	(     snake_case_				,						unittest.TestCase  ):
      _lowercase:     int			=  None
      _lowercase:     Tuple			=  BloomTokenizerFast
      _lowercase:     str			=  BloomTokenizerFast
      _lowercase:     List[Any]			=  True
      _lowercase:     str			=  False
      _lowercase:     Optional[int]			=  '''tokenizer_file'''
      _lowercase:     Dict			=  {'''bos_token''': '''<s>''', '''eos_token''': '''</s>''', '''unk_token''': '''<unk>''', '''pad_token''': '''<pad>'''}




      def 							lowercase__       (     self     :					Tuple    )							-> Tuple:
            super().setUp()
            _lowerCAmelCase					=				BloomTokenizerFast.from_pretrained("""bigscience/tokenizer"""    )
            tokenizer.save_pretrained(self.tmpdirname    )




      def 							lowercase__       (     self     :					Optional[Any]     ,     **__snake_case     :					Tuple    )							-> Tuple:
            kwargs.update(self.special_tokens_map    )
            return BloomTokenizerFast.from_pretrained(self.tmpdirname     ,     **__snake_case    )




      def 							lowercase__       (     self     :					Optional[int]    )							-> Union[str, Any]:
            _lowerCAmelCase					=				self.get_rust_tokenizer()

            _lowerCAmelCase					=				["""The quick brown fox</s>""", """jumps over the lazy dog</s>"""]
            _lowerCAmelCase					=				[[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]]

            _lowerCAmelCase					=				tokenizer.batch_encode_plus(__snake_case    )["""input_ids"""]
            self.assertListEqual(__snake_case     ,     __snake_case    )

            _lowerCAmelCase					=				tokenizer.batch_decode(__snake_case    )
            self.assertListEqual(__snake_case     ,     __snake_case    )




      def 							lowercase__       (     self     :					Optional[Any]     ,     __snake_case     :					Dict=6    )							-> int:
            for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                  with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"    ):
                        _lowerCAmelCase					=				self.rust_tokenizer_class.from_pretrained(__snake_case     ,     **__snake_case    )
                        # tokenizer_r.pad_token = None # Hotfixing padding = None
                        # Simple input
                        _lowerCAmelCase					=				"""This is a simple input"""
                        _lowerCAmelCase					=				["""This is a simple input 1""", """This is a simple input 2"""]
                        _lowerCAmelCase					=				("""This is a simple input""", """This is a pair""")
                        _lowerCAmelCase					=				[
                            ("""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(__snake_case     ,     max_length=__snake_case    )
                              tokenizer_r.encode_plus(__snake_case     ,     max_length=__snake_case    )

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

                        _lowerCAmelCase					=				None  # Hotfixing padding = None
                        self.assertRaises(__snake_case     ,     tokenizer_r.encode     ,     __snake_case     ,     max_length=__snake_case     ,     padding="""max_length"""    )

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

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

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

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

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




      def 							lowercase__       (     self     :					Union[str, Any]    )							-> Tuple:
            _lowerCAmelCase					=				self.get_rust_tokenizer()
            _lowerCAmelCase					=				load_dataset("""xnli"""     ,     """all_languages"""     ,     split="""test"""     ,     streaming=__snake_case    )

            _lowerCAmelCase					=				next(iter(__snake_case    )    )["""premise"""]  # pick up one data
            _lowerCAmelCase					=				list(sample_data.values()    )

            _lowerCAmelCase					=				list(map(tokenizer.encode     ,     __snake_case    )    )
            _lowerCAmelCase					=				[tokenizer.decode(__snake_case     ,     clean_up_tokenization_spaces=__snake_case    ) for x in output_tokens]
            self.assertListEqual(__snake_case     ,     __snake_case    )




      def 							lowercase__       (     self     :					List[Any]    )							-> 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   UpperCamelCase__ (						lowerCAmelCase				,      lowerCAmelCase    ):





      """simple docstring"""


      _lowerCAmelCase					=				""""""
      for word_or_phrase in separated:
            if not isinstance(lowerCAmelCase				,      lowerCAmelCase    ):
                  raise Exception("""join() accepts only strings to be joined"""    )
            joined += word_or_phrase + separator
      return joined.strip(lowerCAmelCase    )


if __name__ == "__main__":
      from doctest import testmod

      testmod()






