





import collections
import importlib.util
import os
import re
from pathlib import Path


snake_case 				=       """src/transformers"""


# Matches is_xxx_available()
snake_case 				=       re.compile(R"""is\_([a-z_]*)_available()""")
# Catches a one-line _import_struct = {xxx}
snake_case 				=       re.compile(R"""^_import_structure\s+=\s+\{([^\}]+)\}""")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
snake_case 				=       re.compile(R"""\s+\"\S*\":\s+\[([^\]]*)\]""")
# Catches a line if not is_foo_available
snake_case 				=       re.compile(R"""^\s*if\s+not\s+is\_[a-z_]*\_available\(\)""")
# Catches a line _import_struct["bla"].append("foo")
snake_case 				=       re.compile(R"""^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)""")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
snake_case 				=       re.compile(R"""^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]""")
# Catches a line with an object between quotes and a comma:     "MyModel",
snake_case 				=       re.compile("""^\s+\"([^\"]+)\",""")
# Catches a line with objects between brackets only:    ["foo", "bar"],
snake_case 				=       re.compile("""^\s+\[([^\]]+)\]""")
# Catches a line with from foo import bar, bla, boo
snake_case 				=       re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
# Catches a line with try:
snake_case 				=       re.compile(R"""^\s*try:""")
# Catches a line with else:
snake_case 				=       re.compile(R"""^\s*else:""")

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :Tuple     )      ->						int:
  if _re_test_backend.search(snake_case__     ) is None:
    return None
  _lowercase							= [b[0] for b in _re_backend.findall(snake_case__     )]
  backends.sort()
  return "_and_".join(snake_case__     )

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :Dict     )      ->						str:
  with open(snake_case__			,							'r'			,							encoding='utf-8'			,							newline='\n'     ) as f:
    _lowercase							= f.readlines()

  _lowercase							= 0
  while line_index < len(snake_case__     ) and not lines[line_index].startswith('_import_structure = {'     ):
    line_index += 1

  # If this is a traditional init, just return.
  if line_index >= len(snake_case__     ):
    return None

  # First grab the objects without a specific backend in _import_structure
  _lowercase							= []
  while not lines[line_index].startswith('if TYPE_CHECKING'     ) and find_backend(lines[line_index]     ) is None:
    _lowercase							= lines[line_index]
    # If we have everything on a single line, let's deal with it.
    if _re_one_line_import_struct.search(snake_case__     ):
      _lowercase							= _re_one_line_import_struct.search(snake_case__     ).groups()[0]
      _lowercase							= re.findall('\[([^\]]+)\]'			,							snake_case__     )
      for imp in imports:
        objects.extend([obj[1:-1] for obj in imp.split(', '     )]     )
      line_index += 1
      continue
    _lowercase							= _re_import_struct_key_value.search(snake_case__     )
    if single_line_import_search is not None:
      _lowercase							= [obj[1:-1] for obj in single_line_import_search.groups()[0].split(', '     ) if len(snake_case__     ) > 0]
      objects.extend(snake_case__     )
    elif line.startswith(' ' * 8 + '"'     ):
      objects.append(line[9:-3]     )
    line_index += 1

  _lowercase							= {'none': objects}
  # Let's continue with backend-specific objects in _import_structure
  while not lines[line_index].startswith('if TYPE_CHECKING'     ):
    # If the line is an if not is_backend_available, we grab all objects associated.
    _lowercase							= find_backend(lines[line_index]     )
    # Check if the backend declaration is inside a try block:
    if _re_try.search(lines[line_index - 1]     ) is None:
      _lowercase							= None

    if backend is not None:
      line_index += 1

      # Scroll until we hit the else block of try-except-else
      while _re_else.search(lines[line_index]     ) is None:
        line_index += 1

      line_index += 1

      _lowercase							= []
      # Until we unindent, add backend objects to the list
      while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(' ' * 4     ):
        _lowercase							= lines[line_index]
        if _re_import_struct_add_one.search(snake_case__     ) is not None:
          objects.append(_re_import_struct_add_one.search(snake_case__     ).groups()[0]     )
        elif _re_import_struct_add_many.search(snake_case__     ) is not None:
          _lowercase							= _re_import_struct_add_many.search(snake_case__     ).groups()[0].split(', '     )
          _lowercase							= [obj[1:-1] for obj in imports if len(snake_case__     ) > 0]
          objects.extend(snake_case__     )
        elif _re_between_brackets.search(snake_case__     ) is not None:
          _lowercase							= _re_between_brackets.search(snake_case__     ).groups()[0].split(', '     )
          _lowercase							= [obj[1:-1] for obj in imports if len(snake_case__     ) > 0]
          objects.extend(snake_case__     )
        elif _re_quote_object.search(snake_case__     ) is not None:
          objects.append(_re_quote_object.search(snake_case__     ).groups()[0]     )
        elif line.startswith(' ' * 8 + '"'     ):
          objects.append(line[9:-3]     )
        elif line.startswith(' ' * 12 + '"'     ):
          objects.append(line[13:-3]     )
        line_index += 1

      _lowercase							= objects
    else:
      line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
  _lowercase							= []
  while (
      line_index < len(snake_case__     )
      and find_backend(lines[line_index]     ) is None
      and not lines[line_index].startswith('else'     )
  ):
    _lowercase							= lines[line_index]
    _lowercase							= _re_import.search(snake_case__     )
    if single_line_import_search is not None:
      objects.extend(single_line_import_search.groups()[0].split(', '     )     )
    elif line.startswith(' ' * 8     ):
      objects.append(line[8:-2]     )
    line_index += 1

  _lowercase							= {'none': objects}
  # Let's continue with backend-specific objects
  while line_index < len(snake_case__     ):
    # If the line is an if is_backend_available, we grab all objects associated.
    _lowercase							= find_backend(lines[line_index]     )
    # Check if the backend declaration is inside a try block:
    if _re_try.search(lines[line_index - 1]     ) is None:
      _lowercase							= None

    if backend is not None:
      line_index += 1

      # Scroll until we hit the else block of try-except-else
      while _re_else.search(lines[line_index]     ) is None:
        line_index += 1

      line_index += 1

      _lowercase							= []
      # Until we unindent, add backend objects to the list
      while len(lines[line_index]     ) <= 1 or lines[line_index].startswith(' ' * 8     ):
        _lowercase							= lines[line_index]
        _lowercase							= _re_import.search(snake_case__     )
        if single_line_import_search is not None:
          objects.extend(single_line_import_search.groups()[0].split(', '     )     )
        elif line.startswith(' ' * 12     ):
          objects.append(line[12:-2]     )
        line_index += 1

      _lowercase							= objects
    else:
      line_index += 1

  return import_dict_objects, type_hint_objects

def 							SCREAMING_SNAKE_CASE__       (  snake_case__  :str			,							snake_case__  :Union[str, Any]     )      ->						Union[str, Any]:

  def find_duplicates(snake_case__  :Optional[Any]     ):
    return [k for k, v in collections.Counter(snake_case__     ).items() if v > 1]

  if list(import_dict_objects.keys()     ) != list(type_hint_objects.keys()     ):
    return ["Both sides of the init do not have the same backends!"]

  _lowercase							= []
  for key in import_dict_objects.keys():
    _lowercase							= find_duplicates(import_dict_objects[key]     )
    if duplicate_imports:
      errors.append(F"""Duplicate _import_structure definitions for: {duplicate_imports}"""     )
    _lowercase							= find_duplicates(type_hint_objects[key]     )
    if duplicate_type_hints:
      errors.append(F"""Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}"""     )

    if sorted(set(import_dict_objects[key]     )     ) != sorted(set(type_hint_objects[key]     )     ):
      _lowercase							= 'base imports' if key == 'none' else F"""{key} backend"""
      errors.append(F"""Differences for {name}:"""     )
      for a in type_hint_objects[key]:
        if a not in import_dict_objects[key]:
          errors.append(F"""  {a} in TYPE_HINT but not in _import_structure."""     )
      for a in import_dict_objects[key]:
        if a not in type_hint_objects[key]:
          errors.append(F"""  {a} in _import_structure but not in TYPE_HINT."""     )
  return errors

def 							SCREAMING_SNAKE_CASE__       (  )      ->						str:
  _lowercase							= []
  for root, _, files in os.walk(snake_case__     ):
    if "__init__.py" in files:
      _lowercase							= os.path.join(snake_case__			,							'__init__.py'     )
      _lowercase							= parse_init(snake_case__     )
      if objects is not None:
        _lowercase							= analyze_results(*snake_case__     )
        if len(snake_case__     ) > 0:
          _lowercase							= F"""Problem in {fname}, both halves do not define the same objects.\n{errors[0]}"""
          failures.append('\n'.join(snake_case__     )     )
  if len(snake_case__     ) > 0:
    raise ValueError('\n\n'.join(snake_case__     )     )

def 							SCREAMING_SNAKE_CASE__       (  )      ->						Union[str, Any]:
  _lowercase							= []
  for path, directories, files in os.walk(snake_case__     ):
    for folder in directories:
      # Ignore private modules
      if folder.startswith('_'     ):
        directories.remove(snake_case__     )
        continue
      # Ignore leftovers from branches (empty folders apart from pycache)
      if len(list((Path(snake_case__     ) / folder).glob('*.py'     )     )     ) == 0:
        continue
      _lowercase							= str((Path(snake_case__     ) / folder).relative_to(snake_case__     )     )
      _lowercase							= short_path.replace(os.path.sep			,							'.'     )
      submodules.append(snake_case__     )
    for fname in files:
      if fname == "__init__.py":
        continue
      _lowercase							= str((Path(snake_case__     ) / fname).relative_to(snake_case__     )     )
      _lowercase							= short_path.replace('.py'			,							''     ).replace(os.path.sep			,							'.'     )
      if len(submodule.split('.'     )     ) == 1:
        submodules.append(snake_case__     )
  return submodules


snake_case 				=       [
    """convert_pytorch_checkpoint_to_tf2""",
    """modeling_flax_pytorch_utils""",
]

def 							SCREAMING_SNAKE_CASE__       (  )      ->						List[Any]:
  # This is to make sure the transformers module imported is the one in the repo.
  _lowercase							= importlib.util.spec_from_file_location(
      'transformers'			,							os.path.join(snake_case__			,							'__init__.py'     )			,							submodule_search_locations=[PATH_TO_TRANSFORMERS]			,							)
  _lowercase							= spec.loader.load_module()

  _lowercase							= [
      module
      for module in get_transformers_submodules()
      if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
  ]
  if len(snake_case__     ) > 0:
    _lowercase							= '\n'.join(F"""- {module}""" for module in module_not_registered     )
    raise ValueError(
        'The following submodules are not properly registered in the main init of Transformers:\n'
        F"""{list_of_modules}\n"""
        'Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'     )


if __name__ == "__main__":
      check_all_inits()
      check_submodules()






import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
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


snake_case 				=       get_tests_dir("""fixtures/test_sentencepiece_no_bos.model""")





@require_sentencepiece
@require_tokenizers
class 				A_				(      UpperCAmelCase					,	unittest.TestCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizer
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  PegasusTokenizerFast
       SCREAMING_SNAKE_CASE_      : Any      =  True
       SCREAMING_SNAKE_CASE_      : Optional[int]      =  True







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Any:
         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase							= PegasusTokenizer(__A  )
         tokenizer.save_pretrained(self.tmpdirname  )







       @cached_property
       def    __UpperCAmelCase (    self	:	Optional[Any]  )						->					List[Any]:
         return PegasusTokenizer.from_pretrained('google/pegasus-large'  )







       def    __UpperCAmelCase (    self	:	Any						,**__A	:	int  )						->					PegasusTokenizer:
         return PegasusTokenizer.from_pretrained(self.tmpdirname						,**__A  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	int  )						->					List[str]:
         return ("This is a test", "This is a test")







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Optional[Any]:
         _lowercase							= '</s>'
         _lowercase							= 1

         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	:	List[Any]  )						->					Optional[Any]:
         _lowercase							= list(self.get_tokenizer().get_vocab().keys()  )

         self.assertEqual(vocab_keys[0]						,'<pad>'  )
         self.assertEqual(vocab_keys[1]						,'</s>'  )
         self.assertEqual(vocab_keys[-1]						,'v'  )
         self.assertEqual(len(__A  )						,1103  )







       def    __UpperCAmelCase (    self	:	Tuple  )						->					Any:
         self.assertEqual(self.get_tokenizer().vocab_size						,1103  )







       def    __UpperCAmelCase (    self	:	Optional[Any]  )						->					List[str]:
         _lowercase							= self.rust_tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= self.tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= (
             'Let\'s see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important'
             ' </s> <pad> <pad> <pad>'
         )
         _lowercase							= rust_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         _lowercase							= py_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       def    __UpperCAmelCase (    self	:	Optional[int]  )						->					List[Any]:
         _lowercase							= self._large_tokenizer
         # <mask_1> masks whole sentence while <mask_2> masks single word
         _lowercase							= '<mask_1> To ensure a <mask_2> flow of bank resolutions.'
         _lowercase							= [2, 413, 615, 114, 3, 1971, 113, 1679, 1_0710, 107, 1]
         _lowercase							= tokenizer([raw_input_str]						,return_tensors=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       def    __UpperCAmelCase (    self	:	int  )						->					Union[str, Any]:
         _lowercase							= self._large_tokenizer
         # The tracebacks for the following asserts are **better** without messages or self.assertEqual
         assert tokenizer.vocab_size == 9_6103
         assert tokenizer.pad_token_id == 0
         assert tokenizer.eos_token_id == 1
         assert tokenizer.offset == 103
         assert tokenizer.unk_token_id == tokenizer.offset + 2 == 105
         assert tokenizer.unk_token == "<unk>"
         assert tokenizer.model_max_length == 1024
         _lowercase							= 'To ensure a smooth flow of bank resolutions.'
         _lowercase							= [413, 615, 114, 2291, 1971, 113, 1679, 1_0710, 107, 1]
         _lowercase							= tokenizer([raw_input_str]						,return_tensors=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )
         assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3]  ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]







       @require_torch
       def    __UpperCAmelCase (    self	:	Optional[int]  )						->					List[str]:
         _lowercase							= ['This is going to be way too long.' * 150, 'short example']
         _lowercase							= ['not super long but more than 5 tokens', 'tiny']
         _lowercase							= self._large_tokenizer(__A						,padding=__A						,truncation=__A						,return_tensors='pt'  )
         _lowercase							= self._large_tokenizer(
             text_target=__A						,max_length=5						,padding=__A						,truncation=__A						,return_tensors='pt'  )

         assert batch.input_ids.shape == (2, 1024)
         assert batch.attention_mask.shape == (2, 1024)
         assert targets["input_ids"].shape == (2, 5)
         assert len(__A  ) == 2  # input_ids, attention_mask.







       @slow
       def    __UpperCAmelCase (    self	:	Dict  )						->					Optional[int]:
         # fmt: off
         _lowercase							= {'input_ids': [[3_8979, 143, 1_8485, 606, 130, 2_6669, 8_7686, 121, 5_4189, 1129, 111, 2_6669, 8_7686, 121, 9114, 1_4787, 121, 1_3249, 158, 592, 956, 121, 1_4621, 3_1576, 143, 6_2613, 108, 9688, 930, 4_3430, 1_1562, 6_2613, 304, 108, 1_1443, 897, 108, 9314, 1_7415, 6_3399, 108, 1_1443, 7614, 1_8316, 118, 4284, 7148, 1_2430, 143, 1400, 2_5703, 158, 111, 4284, 7148, 1_1772, 143, 2_1297, 1064, 158, 122, 204, 3506, 1754, 1133, 1_4787, 1581, 115, 3_3224, 4482, 111, 1355, 110, 2_9173, 317, 5_0833, 108, 2_0147, 9_4665, 111, 7_7198, 107, 1], [110, 6_2613, 117, 638, 112, 1133, 121, 2_0098, 1355, 7_9050, 1_3872, 135, 1596, 5_3541, 1352, 141, 1_3039, 5542, 124, 302, 518, 111, 268, 2956, 115, 149, 4427, 107, 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], [139, 1235, 2799, 1_8289, 1_7780, 204, 109, 9474, 1296, 107, 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]], '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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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='google/bigbird-pegasus-large-arxiv'						,revision='ba85d0851d708441f91440d509690f1ab6353415'						,)





@require_sentencepiece
@require_tokenizers
class 				A_				(      UpperCAmelCase					,	unittest.TestCase	):







       """simple docstring"""





       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizer
       SCREAMING_SNAKE_CASE_      : int      =  PegasusTokenizerFast
       SCREAMING_SNAKE_CASE_      : str      =  True
       SCREAMING_SNAKE_CASE_      : List[Any]      =  True







       def    __UpperCAmelCase (    self	:	List[str]  )						->					Optional[int]:
         super().setUp()

         # We have a SentencePiece fixture for testing
         _lowercase							= PegasusTokenizer(__A						,offset=0						,mask_token_sent=__A						,mask_token='[MASK]'  )
         tokenizer.save_pretrained(self.tmpdirname  )







       @cached_property
       def    __UpperCAmelCase (    self	:	str  )						->					Optional[Any]:
         return PegasusTokenizer.from_pretrained('google/bigbird-pegasus-large-arxiv'  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,**__A	:	Union[str, Any]  )						->					PegasusTokenizer:
         return PegasusTokenizer.from_pretrained(self.tmpdirname						,**__A  )







       def    __UpperCAmelCase (    self	:	Union[str, Any]						,__A	:	int  )						->					Tuple:
         return ("This is a test", "This is a test")







       def    __UpperCAmelCase (    self	:	List[Any]  )						->					Dict:
         _lowercase							= self.rust_tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= self.tokenizer_class.from_pretrained(self.tmpdirname  )
         _lowercase							= (
             'Let\'s see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>'
             ' <pad> <pad> <pad>'
         )
         _lowercase							= rust_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         _lowercase							= py_tokenizer([raw_input_str]						,return_tensors=__A						,add_special_tokens=__A  ).input_ids[0]
         self.assertListEqual(__A						,__A  )







       @require_torch
       def    __UpperCAmelCase (    self	:	List[str]  )						->					Dict:
         _lowercase							= ['This is going to be way too long.' * 1000, 'short example']
         _lowercase							= ['not super long but more than 5 tokens', 'tiny']
         _lowercase							= self._large_tokenizer(__A						,padding=__A						,truncation=__A						,return_tensors='pt'  )
         _lowercase							= self._large_tokenizer(
             text_target=__A						,max_length=5						,padding=__A						,truncation=__A						,return_tensors='pt'  )

         assert batch.input_ids.shape == (2, 4096)
         assert batch.attention_mask.shape == (2, 4096)
         assert targets["input_ids"].shape == (2, 5)
         assert len(__A  ) == 2  # input_ids, attention_mask.







       def    __UpperCAmelCase (    self	:	Union[str, Any]  )						->					int:
         _lowercase							= (
             'This is an example string that is used to test the original TF implementation against the HF'
             ' implementation'
         )

         _lowercase							= self._large_tokenizer(__A  ).input_ids

         self.assertListEqual(
             __A						,[182, 117, 142, 587, 4211, 120, 117, 263, 112, 804, 109, 856, 2_5016, 3137, 464, 109, 2_6955, 3137, 1]						,)