





'''simple docstring'''

import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class __a			( _snake_case, unittest.TestCase      ):
   __UpperCamelCase :			Dict						   =						RoCBertTokenizer
   __UpperCamelCase :			Optional[int]						   =						None
   __UpperCamelCase :			Any						   =						False
   __UpperCamelCase :			Any						   =						True
   __UpperCamelCase :			List[str]						   =						filter_non_english





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      super().setUp()

      __SCREAMING_SNAKE_CASE   				=							["""[UNK]""", """[CLS]""", """[SEP]""", """[PAD]""", """[MASK]""", """你""", """好""", """是""", """谁""", """a""", """b""", """c""", """d"""]
      __SCREAMING_SNAKE_CASE   				=							{}
      __SCREAMING_SNAKE_CASE   				=							{}
      for i, value in enumerate(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							i
         __SCREAMING_SNAKE_CASE   				=							i
      __SCREAMING_SNAKE_CASE   				=							os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES["""vocab_file"""]     )
      __SCREAMING_SNAKE_CASE   				=							os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES["""word_shape_file"""]     )
      __SCREAMING_SNAKE_CASE   				=							os.path.join(self.tmpdirname					,VOCAB_FILES_NAMES["""word_pronunciation_file"""]     )
      with open(self.vocab_file					,"""w"""					,encoding="""utf-8"""     ) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]     )     )
      with open(self.word_shape_file					,"""w"""					,encoding="""utf-8"""     ) as word_shape_writer:
         json.dump(lowerCamelCase					,lowerCamelCase					,ensure_ascii=lowerCamelCase     )
      with open(self.word_pronunciation_file					,"""w"""					,encoding="""utf-8"""     ) as word_pronunciation_writer:
         json.dump(lowerCamelCase					,lowerCamelCase					,ensure_ascii=lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer_class(self.vocab_file					,self.word_shape_file					,self.word_pronunciation_file     )

      __SCREAMING_SNAKE_CASE   				=							tokenizer.tokenize("""你好[SEP]你是谁"""     )
      self.assertListEqual(lowerCamelCase					,["""你""", """好""", """[SEP]""", """你""", """是""", """谁"""]     )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase     )					,[5, 6, 2, 5, 7, 8]     )
      self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(lowerCamelCase     )					,[5, 6, 2, 5, 7, 8]     )
      self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase     )					,[5, 6, 2, 5, 7, 8]     )





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer()

      self.assertListEqual(tokenizer.tokenize("""ah\u535A\u63A8zz"""     )					,["""ah""", """\u535A""", """\u63A8""", """zz"""]     )





   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """     )					,["""hello""", """!""", """how""", """are""", """you""", """?"""]     )
      self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )					,["""hello"""]     )





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase					,strip_accents=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )					,["""hällo""", """!""", """how""", """are""", """you""", """?"""]     )
      self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )					,["""h\u00E9llo"""]     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase					,strip_accents=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )					,["""hallo""", """!""", """how""", """are""", """you""", """?"""]     )
      self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )					,["""hello"""]     )





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )					,["""hallo""", """!""", """how""", """are""", """you""", """?"""]     )
      self.assertListEqual(tokenizer.tokenize("""H\u00E9llo"""     )					,["""hello"""]     )





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU?  """     )					,["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )





   def   UpperCAmelCase__  (       self					:      Optional[int]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase					,strip_accents=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )					,["""HäLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase					,strip_accents=lowerCamelCase     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHäLLo!how  \n Are yoU?  """     )					,["""HaLLo""", """!""", """how""", """Are""", """yoU""", """?"""]     )





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							RoCBertBasicTokenizer(do_lower_case=lowerCamelCase					,never_split=["""[UNK]"""]     )

      self.assertListEqual(
          tokenizer.tokenize(""" \tHeLLo!how  \n Are yoU? [UNK]"""     )					,["""HeLLo""", """!""", """how""", """Are""", """yoU""", """?""", """[UNK]"""]     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							["""[UNK]""", """[CLS]""", """[SEP]""", """want""", """##want""", """##ed""", """wa""", """un""", """runn""", """##ing"""]

      __SCREAMING_SNAKE_CASE   				=							{}
      for i, token in enumerate(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							i
      __SCREAMING_SNAKE_CASE   				=							RoCBertWordpieceTokenizer(vocab=lowerCamelCase					,unk_token="""[UNK]"""     )

      self.assertListEqual(tokenizer.tokenize(""""""     )					,[]     )

      self.assertListEqual(tokenizer.tokenize("""unwanted running"""     )					,["""un""", """##want""", """##ed""", """runn""", """##ing"""]     )

      self.assertListEqual(tokenizer.tokenize("""unwantedX running"""     )					,["""[UNK]""", """runn""", """##ing"""]     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      self.assertTrue(_is_whitespace(""" """     )     )
      self.assertTrue(_is_whitespace("""\t"""     )     )
      self.assertTrue(_is_whitespace("""\r"""     )     )
      self.assertTrue(_is_whitespace("""\n"""     )     )
      self.assertTrue(_is_whitespace("""\u00A0"""     )     )

      self.assertFalse(_is_whitespace("""A"""     )     )
      self.assertFalse(_is_whitespace("""-"""     )     )





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      self.assertTrue(_is_control("""\u0005"""     )     )

      self.assertFalse(_is_control("""A"""     )     )
      self.assertFalse(_is_control(""" """     )     )
      self.assertFalse(_is_control("""\t"""     )     )
      self.assertFalse(_is_control("""\r"""     )     )





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      self.assertTrue(_is_punctuation("""-"""     )     )
      self.assertTrue(_is_punctuation("""$"""     )     )
      self.assertTrue(_is_punctuation("""`"""     )     )
      self.assertTrue(_is_punctuation("""."""     )     )

      self.assertFalse(_is_punctuation("""A"""     )     )
      self.assertFalse(_is_punctuation(""" """     )     )





   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.get_tokenizer()

      # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
      self.assertListEqual([tokenizer.tokenize(lowerCamelCase     ) for t in ["""Test""", """\xad""", """test"""]]					,[["""[UNK]"""], [], ["""[UNK]"""]]     )

      if self.test_rust_tokenizer:
         __SCREAMING_SNAKE_CASE   				=							self.get_rust_tokenizer()
         self.assertListEqual(
             [rust_tokenizer.tokenize(lowerCamelCase     ) for t in ["""Test""", """\xad""", """test"""]]					,[["""[UNK]"""], [], ["""[UNK]"""]]     )





   def   UpperCAmelCase__  (       self					:      int     ):

      '''simple docstring'''

      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
            __SCREAMING_SNAKE_CASE   				=							self.rust_tokenizer_class.from_pretrained(lowerCamelCase					,**lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							f"""A, naïve {tokenizer_r.mask_token} AllenNLP sentence."""
            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.encode_plus(
                lowerCamelCase					,return_attention_mask=lowerCamelCase					,return_token_type_ids=lowerCamelCase					,return_offsets_mapping=lowerCamelCase					,add_special_tokens=lowerCamelCase					,)

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.do_lower_case if hasattr(lowerCamelCase					,"""do_lower_case"""     ) else False
            __SCREAMING_SNAKE_CASE   				=							(
                [
                    ((0, 0), tokenizer_r.cls_token),
                    ((0, 1), """A"""),
                    ((1, 2), ""","""),
                    ((3, 5), """na"""),
                    ((5, 6), """##ï"""),
                    ((6, 8), """##ve"""),
                    ((9, 15), tokenizer_r.mask_token),
                    ((16, 21), """Allen"""),
                    ((21, 23), """##NL"""),
                    ((23, 24), """##P"""),
                    ((25, 33), """sentence"""),
                    ((33, 34), """."""),
                    ((0, 0), tokenizer_r.sep_token),
                ]
                if not do_lower_case
                else [
                    ((0, 0), tokenizer_r.cls_token),
                    ((0, 1), """a"""),
                    ((1, 2), ""","""),
                    ((3, 8), """naive"""),
                    ((9, 15), tokenizer_r.mask_token),
                    ((16, 21), """allen"""),
                    ((21, 23), """##nl"""),
                    ((23, 24), """##p"""),
                    ((25, 33), """sentence"""),
                    ((33, 34), """."""),
                    ((0, 0), tokenizer_r.sep_token),
                ]
            )

            self.assertEqual(
                [e[1] for e in expected_results]					,tokenizer_r.convert_ids_to_tokens(tokens["""input_ids"""]     )     )
            self.assertEqual([e[0] for e in expected_results]					,tokens["""offset_mapping"""]     )





   def   UpperCAmelCase__  (       self					:      Tuple     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							["""的""", """人""", """有"""]
      __SCREAMING_SNAKE_CASE   				=							"""""".join(lowerCamelCase     )
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
         with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""     ):
            __SCREAMING_SNAKE_CASE   				=							True
            __SCREAMING_SNAKE_CASE   				=							self.tokenizer_class.from_pretrained(lowerCamelCase					,**lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							self.rust_tokenizer_class.from_pretrained(lowerCamelCase					,**lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							tokenizer_p.encode(lowerCamelCase					,add_special_tokens=lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.encode(lowerCamelCase					,add_special_tokens=lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.convert_ids_to_tokens(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer_p.convert_ids_to_tokens(lowerCamelCase     )

            # it is expected that each Chinese character is not preceded by "##"
            self.assertListEqual(lowerCamelCase					,lowerCamelCase     )
            self.assertListEqual(lowerCamelCase					,lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							False
            __SCREAMING_SNAKE_CASE   				=							self.rust_tokenizer_class.from_pretrained(lowerCamelCase					,**lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							self.tokenizer_class.from_pretrained(lowerCamelCase					,**lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.encode(lowerCamelCase					,add_special_tokens=lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer_p.encode(lowerCamelCase					,add_special_tokens=lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							tokenizer_r.convert_ids_to_tokens(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer_p.convert_ids_to_tokens(lowerCamelCase     )

            # it is expected that only the first Chinese character is not preceded by "##".
            __SCREAMING_SNAKE_CASE   				=							[
                f"""##{token}""" if idx != 0 else token for idx, token in enumerate(lowerCamelCase     )
            ]
            self.assertListEqual(lowerCamelCase					,lowerCamelCase     )
            self.assertListEqual(lowerCamelCase					,lowerCamelCase     )





   @slow
   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.tokenizer_class(self.vocab_file					,self.word_shape_file					,self.word_pronunciation_file     )

      __SCREAMING_SNAKE_CASE   				=							tokenizer.encode("""你好"""					,add_special_tokens=lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							tokenizer.encode("""你是谁"""					,add_special_tokens=lowerCamelCase     )

      __SCREAMING_SNAKE_CASE   				=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase     )
      __SCREAMING_SNAKE_CASE   				=							tokenizer.build_inputs_with_special_tokens(lowerCamelCase					,lowerCamelCase     )

      assert encoded_sentence == [1] + text + [2]
      assert encoded_pair == [1] + text + [2] + text_a + [2]





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							self.get_tokenizers(do_lower_case=lowerCamelCase     )
      for tokenizer in tokenizers:
         with self.subTest(f"""{tokenizer.__class__.__name__}"""     ):
            __SCREAMING_SNAKE_CASE   				=							"""你好，你是谁"""
            __SCREAMING_SNAKE_CASE   				=							tokenizer.tokenize(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer.convert_tokens_to_ids(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer.convert_tokens_to_shape_ids(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer.convert_tokens_to_pronunciation_ids(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							tokenizer.prepare_for_model(
                lowerCamelCase					,lowerCamelCase					,lowerCamelCase					,add_special_tokens=lowerCamelCase     )

            __SCREAMING_SNAKE_CASE   				=							tokenizer.encode_plus(lowerCamelCase					,add_special_tokens=lowerCamelCase     )

            self.assertEqual(lowerCamelCase					,lowerCamelCase     )








"""simple docstring"""
import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


_A							=  """▁"""

_A							=  get_tests_dir("""fixtures/test_sentencepiece.model""")

@require_sentencepiece
@require_tokenizers
class       lowerCamelCase	(       lowerCAmelCase__					,					unittest.TestCase   ):


  '''simple docstring'''







  SCREAMING_SNAKE_CASE					      =  BigBirdTokenizer
  SCREAMING_SNAKE_CASE					      =  BigBirdTokenizerFast
  SCREAMING_SNAKE_CASE					      =  True
  SCREAMING_SNAKE_CASE					      =  True



  def  _a      (self	):


        """simple docstring"""

        super().setUp()

        UpperCAmelCase__			:							Any							=    self.tokenizer_class(_lowerCamelCase							,       keep_accents=_lowerCamelCase	)
        tokenizer.save_pretrained(self.tmpdirname	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Union[str, Any]							=    """<s>"""
        UpperCAmelCase__			:							Optional[int]							=    1

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



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[Any]							=    list(self.get_tokenizer().get_vocab().keys()	)

        self.assertEqual(vocab_keys[0]							,       """<unk>"""	)
        self.assertEqual(vocab_keys[1]							,       """<s>"""	)
        self.assertEqual(vocab_keys[-1]							,       """[MASK]"""	)
        self.assertEqual(len(_lowerCamelCase	)							,       1004	)



  def  _a      (self	):


        """simple docstring"""

        self.assertEqual(self.get_tokenizer().vocab_size							,       1000	)



  def  _a      (self	):


        """simple docstring"""

        if not self.test_rust_tokenizer:
              return

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

        UpperCAmelCase__			:							Dict							=    """I was born in 92000, and this is falsé."""

        UpperCAmelCase__			:							Dict							=    tokenizer.tokenize(_lowerCamelCase	)
        UpperCAmelCase__			:							int							=    rust_tokenizer.tokenize(_lowerCamelCase	)
        self.assertListEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							int							=    tokenizer.encode(_lowerCamelCase							,       add_special_tokens=_lowerCamelCase	)
        UpperCAmelCase__			:							str							=    rust_tokenizer.encode(_lowerCamelCase							,       add_special_tokens=_lowerCamelCase	)
        self.assertListEqual(_lowerCamelCase							,       _lowerCamelCase	)

        UpperCAmelCase__			:							Any							=    self.get_rust_tokenizer()
        UpperCAmelCase__			:							List[Any]							=    tokenizer.encode(_lowerCamelCase	)
        UpperCAmelCase__			:							Union[str, Any]							=    rust_tokenizer.encode(_lowerCamelCase	)
        self.assertListEqual(_lowerCamelCase							,       _lowerCamelCase	)



  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							str							=    BigBirdTokenizer(_lowerCamelCase							,       keep_accents=_lowerCamelCase	)

        UpperCAmelCase__			:							Union[str, Any]							=    tokenizer.tokenize("""This is a test"""	)
        self.assertListEqual(_lowerCamelCase							,       ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]	)

        self.assertListEqual(
            tokenizer.convert_tokens_to_ids(_lowerCamelCase	)							,       [285, 46, 10, 170, 382]							,       )

        UpperCAmelCase__			:							Dict							=    tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
        self.assertListEqual(
            _lowerCamelCase							,       [
                SPIECE_UNDERLINE + """I""",
                SPIECE_UNDERLINE + """was""",
                SPIECE_UNDERLINE + """b""",
                """or""",
                """n""",
                SPIECE_UNDERLINE + """in""",
                SPIECE_UNDERLINE + """""",
                """9""",
                """2""",
                """0""",
                """0""",
                """0""",
                """,""",
                SPIECE_UNDERLINE + """and""",
                SPIECE_UNDERLINE + """this""",
                SPIECE_UNDERLINE + """is""",
                SPIECE_UNDERLINE + """f""",
                """al""",
                """s""",
                """é""",
                """.""",
            ]							,       )
        UpperCAmelCase__			:							Tuple							=    tokenizer.convert_tokens_to_ids(_lowerCamelCase	)
        self.assertListEqual(
            _lowerCamelCase							,       [8, 21, 84, 55, 24, 19, 7, 0, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 0, 4]							,       )

        UpperCAmelCase__			:							Tuple							=    tokenizer.convert_ids_to_tokens(_lowerCamelCase	)
        self.assertListEqual(
            _lowerCamelCase							,       [
                SPIECE_UNDERLINE + """I""",
                SPIECE_UNDERLINE + """was""",
                SPIECE_UNDERLINE + """b""",
                """or""",
                """n""",
                SPIECE_UNDERLINE + """in""",
                SPIECE_UNDERLINE + """""",
                """<unk>""",
                """2""",
                """0""",
                """0""",
                """0""",
                """,""",
                SPIECE_UNDERLINE + """and""",
                SPIECE_UNDERLINE + """this""",
                SPIECE_UNDERLINE + """is""",
                SPIECE_UNDERLINE + """f""",
                """al""",
                """s""",
                """<unk>""",
                """.""",
            ]							,       )



  @cached_property
  def  _a      (self	):


        """simple docstring"""

        return BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""	)



  @slow
  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Tuple							=    """Hello World!"""
        UpperCAmelCase__			:							Union[str, Any]							=    [65, 18536, 2260, 101, 66]

        self.assertListEqual(_lowerCamelCase							,       self.big_tokenizer.encode(_lowerCamelCase	)	)



  @slow
  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Union[str, Any]							=    (
            """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
            """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
        )
        # fmt: off
        UpperCAmelCase__			:							Dict							=    [65, 871, 419, 358, 946, 991, 2521, 452, 358, 1357, 387, 7751, 3536, 112, 985, 456, 126, 865, 938, 5400, 5734, 458, 1368, 467, 786, 2462, 5246, 1159, 633, 865, 4519, 457, 582, 852, 2557, 427, 916, 508, 405, 34324, 497, 391, 408, 11342, 1244, 385, 100, 938, 985, 456, 574, 362, 12597, 3200, 3129, 1172, 66]  # noqa: E231
        # fmt: on
        self.assertListEqual(_lowerCamelCase							,       self.big_tokenizer.encode(_lowerCamelCase	)	)



  @require_torch
  @slow
  def  _a      (self	):


        """simple docstring"""

        import torch

        from transformers import BigBirdConfig, BigBirdModel

        # Build sequence
        UpperCAmelCase__			:							int							=    list(self.big_tokenizer.get_vocab().keys()	)[:10]
        UpperCAmelCase__			:							str							=    """ """.join(_lowerCamelCase	)
        UpperCAmelCase__			:							int							=    self.big_tokenizer.encode_plus(_lowerCamelCase							,       return_tensors="""pt"""							,       return_token_type_ids=_lowerCamelCase	)
        UpperCAmelCase__			:							str							=    self.big_tokenizer.batch_encode_plus(
            [sequence + """ """ + sequence]							,       return_tensors="""pt"""							,       return_token_type_ids=_lowerCamelCase	)

        UpperCAmelCase__			:							Optional[int]							=    BigBirdConfig(attention_type="""original_full"""	)
        UpperCAmelCase__			:							Optional[int]							=    BigBirdModel(_lowerCamelCase	)

        assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

        with torch.no_grad():
              model(**_lowerCamelCase	)
              model(**_lowerCamelCase	)



  @slow
  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							Union[str, Any]							=    BigBirdTokenizer.from_pretrained("""google/bigbird-roberta-base"""	)
        UpperCAmelCase__			:							int							=    tokenizer.decode(tokenizer("""Paris is the [MASK]."""	).input_ids	)

        self.assertTrue(decoded_text == """[CLS] Paris is the[MASK].[SEP]"""	)




  @slow
  def  _a      (self	):


        """simple docstring"""

        UpperCAmelCase__			:							List[str]							=    {"""input_ids""": [[65, 39286, 458, 36335, 2001, 456, 13073, 13266, 455, 113, 7746, 1741, 11157, 391, 13073, 13266, 455, 113, 3967, 35412, 113, 4936, 109, 3870, 2377, 113, 30084, 45720, 458, 134, 17496, 112, 503, 11672, 113, 118, 112, 5665, 13347, 38687, 112, 1496, 31389, 112, 3268, 47264, 134, 962, 112, 16377, 8035, 23130, 430, 12169, 15518, 28592, 458, 146, 41697, 109, 391, 12169, 15518, 16689, 458, 146, 41358, 109, 452, 726, 4034, 111, 763, 35412, 5082, 388, 1903, 111, 9051, 391, 2870, 48918, 1900, 1123, 550, 998, 112, 9586, 15985, 455, 391, 410, 22955, 37636, 114, 66], [65, 448, 17496, 419, 3663, 385, 763, 113, 27533, 2870, 3283, 13043, 1639, 24713, 523, 656, 24013, 18550, 2521, 517, 27014, 21244, 420, 1212, 1465, 391, 927, 4833, 388, 578, 11786, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [65, 484, 2169, 7687, 21932, 18146, 726, 363, 17032, 3391, 114, 66, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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]]}  # noqa: E501
        # fmt: on

        self.tokenizer_integration_test_util(
            expected_encoding=_lowerCamelCase							,       model_name="""google/bigbird-roberta-base"""							,       revision="""215c99f1600e06f83acce68422f2035b2b5c3510"""							,       )

