
"""simple docstring"""
import unittest

from transformers import ErnieMTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_a   :      Union[str, Any]       =				get_tests_dir("""fixtures/spiece.model""")






@require_sentencepiece
@require_tokenizers
class   _UpperCAmelCase					(       _snake_case		,       unittest.TestCase):
    __lowercase				:			Optional[Any]	=       ErnieMTokenizer
    __lowercase				:			str	=       False
    __lowercase				:			Optional[int]	=       True
    __lowercase				:			Union[str, Any]	=       False
    __lowercase				:			Any	=       False
    def        lowerCamelCase__						(     self  ):
      super().setUp()

      # We have a SentencePiece fixture for testing
      _snake_case  :    Dict            = ErnieMTokenizer(snake_case_    ,     unk_token="<unk>"    ,     pad_token="<pad>"  )
      tokenizer.save_pretrained(self.tmpdirname  )
    def        lowerCamelCase__						(     self    ,     snake_case_  ):
      _snake_case  :    Tuple            = "this is a test"
      _snake_case  :    Tuple            = "this is a test"
      return input_text, output_text
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    List[Any]            = "<pad>"
      _snake_case  :    Dict            = 0

      self.assertEqual(self.get_tokenizer()._convert_token_to_id(snake_case_  )    ,     snake_case_  )
      self.assertEqual(self.get_tokenizer()._convert_id_to_token(snake_case_  )    ,     snake_case_  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    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(snake_case_  )    ,     3_00_00  )
    def        lowerCamelCase__						(     self  ):
      self.assertEqual(self.get_tokenizer().vocab_size    ,     3_00_00  )
    def        lowerCamelCase__						(     self  ):
      if not self.test_rust_tokenizer:
        return

      _snake_case  :    Optional[Any]            = self.get_tokenizer()
      _snake_case  :    Optional[int]            = self.get_rust_tokenizer()

      _snake_case  :    str            = "I was born in 92000, and this is falsé."

      _snake_case  :    int            = tokenizer.tokenize(snake_case_  )
      _snake_case  :    Optional[int]            = rust_tokenizer.tokenize(snake_case_  )
      self.assertListEqual(snake_case_    ,     snake_case_  )

      _snake_case  :    Tuple            = tokenizer.encode(snake_case_    ,     add_special_tokens=snake_case_  )
      _snake_case  :    Tuple            = rust_tokenizer.encode(snake_case_    ,     add_special_tokens=snake_case_  )
      self.assertListEqual(snake_case_    ,     snake_case_  )

      _snake_case  :    Union[str, Any]            = self.get_rust_tokenizer()
      _snake_case  :    Optional[int]            = tokenizer.encode(snake_case_  )
      _snake_case  :    Tuple            = rust_tokenizer.encode(snake_case_  )
      self.assertListEqual(snake_case_    ,     snake_case_  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Union[str, Any]            = ErnieMTokenizer(snake_case_    ,     do_lower_case=snake_case_    ,     unk_token="<unk>"    ,     pad_token="<pad>"  )

      _snake_case  :    Any            = tokenizer.tokenize("This is a test"  )
      self.assertListEqual(snake_case_    ,     ["▁this", "▁is", "▁a", "▁test"]  )

      self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_  )    ,     [48, 25, 21, 12_89]  )

      _snake_case  :    Optional[int]            = tokenizer.tokenize("I was born in 92000, and this is falsé."  )
      # ErnieMTokenizer(paddlenlp implementation) outputs '9' instead of '_9' so to mimic that '_9' is changed to '9'
      self.assertListEqual(
          snake_case_    ,     ["▁i", "▁was", "▁born", "▁in", "9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "é", "."]  )
      _snake_case  :    List[Any]            = tokenizer.convert_tokens_to_ids(snake_case_  )
      self.assertListEqual(snake_case_    ,     [31, 23, 3_86, 19, 5_18, 30_50, 15, 17, 48, 25, 82_56, 18, 1, 9]  )

      _snake_case  :    Any            = tokenizer.convert_ids_to_tokens(snake_case_  )
      self.assertListEqual(
          snake_case_    ,     ["▁i", "▁was", "▁born", "▁in", "9", "2000", ",", "▁and", "▁this", "▁is", "▁fal", "s", "<unk>", "."]    ,     )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Any            = ErnieMTokenizer(snake_case_    ,     unk_token="<unk>"    ,     pad_token="<pad>"  )

      _snake_case  :    Any            = tokenizer.encode("sequence builders"  )
      _snake_case  :    int            = tokenizer.encode("multi-sequence build"  )

      _snake_case  :    List[str]            = tokenizer.build_inputs_with_special_tokens(snake_case_  )
      _snake_case  :    Optional[Any]            = tokenizer.build_inputs_with_special_tokens(snake_case_    ,     snake_case_  )

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


    @slow
    def        lowerCamelCase__						(     self  ):
      # fmt: off
      _snake_case  :    Tuple            = {"input_ids": [[0, 1_10_62, 8_27_72, 7, 15, 8_27_72, 5_38, 5_15_29, 2_37, 1_71_98, 12_90, 2_06, 9, 21_51_75, 13_14, 1_36, 1_71_98, 12_90, 2_06, 9, 5_63_59, 42, 12_20_09, 9, 1_64_66, 16, 8_73_44, 45_37, 9, 47_17, 7_83_81, 6, 15_99_58, 7, 15, 2_44_80, 6_18, 4, 5_27, 2_26_93, 9, 3_04, 4, 27_77, 2_44_80, 98_74, 4, 4_35_23, 5_94, 4, 8_03, 1_83_92, 3_31_89, 18, 4, 4_35_23, 2_44_47, 5, 5, 5, 16, 1_00, 2_49_55, 8_36_58, 96_26, 14_40_57, 15, 8_39, 2_23_35, 16, 1_36, 2_49_55, 8_36_58, 8_34_79, 15, 3_91_02, 7_24, 16, 6_78, 6_45, 64_60, 13_28, 45_89, 42, 12_20_09, 11_57_74, 23, 35_59, 13_28, 4_68_76, 7, 1_36, 5_38_94, 19_40, 4_22_27, 4_11_59, 1_77_21, 8_23, 4_25, 4, 2_75_12, 9_87_22, 2_06, 1_36, 55_31, 49_70, 9_19, 1_73_36, 5, 2], [0, 2_00_80, 6_18, 83, 8_27_75, 47, 4_79, 9, 15_17, 73, 5_38_94, 3_33, 8_05_81, 11_01_17, 1_88_11, 52_56, 12_95, 51, 15_25_26, 2_97, 79_86, 3_90, 12_44_16, 5_38, 3_54_31, 2_14, 98, 1_50_44, 2_57_37, 1_36, 71_08, 4_37_01, 23, 7_56, 13_53_55, 7, 5, 2, 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, 5_81, 6_37_73, 11_94_55, 6, 14_77_97, 8_82_03, 7, 6_45, 70, 21, 32_85, 1_02_69, 5, 2, 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]]}
      # fmt: on

      self.tokenizer_integration_test_util(
          expected_encoding=snake_case_    ,     model_name="susnato/ernie-m-base_pytorch"    ,     sequences=[
              "Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides "
              "general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet...) for Natural "
              "Language Understanding (NLU) and Natural Language Generation (NLG) with over32+ pretrained "
              "models in100+ languages and deep interoperability between Jax, PyTorch and TensorFlow.",
              "BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly "
              "conditioning on both left and right context in all layers.",
              "The quick brown fox jumps over the lazy dog.",
          ]    ,     )






'''simple docstring'''





def     UpperCAmelCase     (    a_      ,		a_		)   ->       set:



   """simple docstring"""






   assert isinstance(a_      ,		a_		), F"The input value of [set_a={set_a}] is not a set"
   assert isinstance(a_      ,		a_		), F"The input value of [set_b={set_b}] is not a set"

   return {a + b for a in set_a for b in set_b}


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

  testmod()
