





import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCamelCase			:	Tuple					    =	get_tests_dir("""fixtures/spiece.model""")



@require_sentencepiece
@require_tokenizers
class    A__  (			__snake_case			,  unittest.TestCase     ):
      _UpperCAmelCase      :int		       =  AlbertTokenizer
      _UpperCAmelCase      :Tuple		       =  AlbertTokenizerFast
      _UpperCAmelCase      :Tuple		       =  True
      _UpperCAmelCase      :Tuple		       =  True
      _UpperCAmelCase      :Union[str, Any]		       =  True





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       super().setUp()

       # We have a SentencePiece fixture for testing
       UpperCamelCase      :   Dict			      =  AlbertTokenizer(A_  )
       tokenizer.save_pretrained(self.tmpdirname  )





      def 			__UpperCamelCase(					self			,				A_  ):
       '''simple docstring'''




       UpperCamelCase      :   Any			      =  "this is a test"
       UpperCamelCase      :   Optional[int]			      =  "this is a test"
       return input_text, output_text





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   List[str]			      =  "<pad>"
       UpperCamelCase      :   List[Any]			      =  0

       self.assertEqual(self.get_tokenizer()._convert_token_to_id(A_  )			,				A_  )
       self.assertEqual(self.get_tokenizer()._convert_id_to_token(A_  )			,				A_  )





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   List[str]			      =  list(self.get_tokenizer().get_vocab().keys()  )

       self.assertEqual(vocab_keys[0]			,				"<pad>"  )
       self.assertEqual(vocab_keys[1]			,				"<unk>"  )
       self.assertEqual(vocab_keys[-1]			,				"▁eloquent"  )
       self.assertEqual(len(A_  )			,				3_0000  )





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       self.assertEqual(self.get_tokenizer().vocab_size			,				3_0000  )





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       if not self.test_rust_tokenizer:
        return

       UpperCamelCase      :   Any			      =  self.get_tokenizer()
       UpperCamelCase      :   List[Any]			      =  self.get_rust_tokenizer()

       UpperCamelCase      :   List[Any]			      =  "I was born in 92000, and this is falsé."

       UpperCamelCase      :   Optional[Any]			      =  tokenizer.tokenize(A_  )
       UpperCamelCase      :   int			      =  rust_tokenizer.tokenize(A_  )
       self.assertListEqual(A_			,				A_  )

       UpperCamelCase      :   List[Any]			      =  tokenizer.encode(A_			,				add_special_tokens=A_  )
       UpperCamelCase      :   Union[str, Any]			      =  rust_tokenizer.encode(A_			,				add_special_tokens=A_  )
       self.assertListEqual(A_			,				A_  )

       UpperCamelCase      :   Any			      =  self.get_rust_tokenizer()
       UpperCamelCase      :   Optional[Any]			      =  tokenizer.encode(A_  )
       UpperCamelCase      :   Optional[Any]			      =  rust_tokenizer.encode(A_  )
       self.assertListEqual(A_			,				A_  )





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   Optional[int]			      =  AlbertTokenizer(A_			,				keep_accents=A_  )

       UpperCamelCase      :   Tuple			      =  tokenizer.tokenize("This is a test"  )
       self.assertListEqual(A_			,				["▁this", "▁is", "▁a", "▁test"]  )

       self.assertListEqual(tokenizer.convert_tokens_to_ids(A_  )			,				[48, 25, 21, 1289]  )

       UpperCamelCase      :   Any			      =  tokenizer.tokenize("I was born in 92000, and this is falsé."  )
       self.assertListEqual(
           A_			,				["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."]  )
       UpperCamelCase      :   Optional[int]			      =  tokenizer.convert_tokens_to_ids(A_  )
       self.assertListEqual(A_			,				[31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]  )

       UpperCamelCase      :   Dict			      =  tokenizer.convert_ids_to_tokens(A_  )
       self.assertListEqual(
           A_			,				["▁i", "▁was", "▁born", "▁in", "▁9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]			,				)





      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   Union[str, Any]			      =  AlbertTokenizer(A_  )

       UpperCamelCase      :   Dict			      =  tokenizer.encode("sequence builders"  )
       UpperCamelCase      :   Union[str, Any]			      =  tokenizer.encode("multi-sequence build"  )

       UpperCamelCase      :   List[Any]			      =  tokenizer.build_inputs_with_special_tokens(A_  )
       UpperCamelCase      :   Optional[Any]			      =  tokenizer.build_inputs_with_special_tokens(A_			,				A_  )

       assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
       assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
           tokenizer.sep_token_id
       ]





      @slow
      def 			__UpperCamelCase(					self  ):
       '''simple docstring'''




       UpperCamelCase      :   Any			      =  {"attention_mask": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "input_ids": [[2, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
       # fmt: on

       self.tokenizer_integration_test_util(
           expected_encoding=A_			,				model_name="albert-base-v2"			,				revision="6b6560eaf5ff2e250b00c50f380c5389a9c2d82e"			,				)







def 						A_							(	_lowerCAmelCase	)		->					bool:
 UpperCamelCase      :   List[Any]			      =  0
 for ch in input_str:
  UpperCamelCase      :   Optional[Any]			      =  ord(_lowerCAmelCase	)
  UpperCamelCase      :   Optional[Any]			      =  pow(2				,  _lowerCAmelCase	)

  # If we already turned on bit for current character's unicode
  if bitmap >> ch_unicode & 1 == 1:
   return False
  bitmap |= ch_bit_index_on
 return True


if __name__ == "__main__":
    import doctest

    doctest.testmod()
