'''simple docstring'''




import argparse
from collections import defaultdict

def 	UpperCamelCase_							(					_UpperCAmelCase  :      Any			,	_UpperCAmelCase  :      List[Any]			,	_UpperCAmelCase  :      Optional[int]			,	_UpperCAmelCase  :      Any			,	_UpperCAmelCase  :      Union[str, Any]    )    ->    Dict:


       """simple docstring"""







       _UpperCAmelCase     :  Optional[Any]							      =    F"""{file}_{class_name}_{test_name}"""
       done_test[_id] += 1

       with open(_UpperCAmelCase			,	"r"    ) as f:
              _UpperCAmelCase     :  Union[str, Any]							      =    f.readlines()

       _UpperCAmelCase     :  List[Any]							      =    F"""class {class_name}("""
       _UpperCAmelCase     :  int							      =    F"""{4 * ' '}def {test_name}("""
       _UpperCAmelCase     :  Union[str, Any]							      =    F"""{8 * ' '}{correct_line.split()[0]}"""
       _UpperCAmelCase     :  Union[str, Any]							      =    F"""{16 * ' '}{correct_line.split()[0]}"""
       _UpperCAmelCase     :  Union[str, Any]							      =    False
       _UpperCAmelCase     :  Optional[Any]							      =    False
       _UpperCAmelCase     :  List[str]							      =    False
       _UpperCAmelCase     :  Optional[Any]							      =    False
       _UpperCAmelCase     :  List[Any]							      =    0
       _UpperCAmelCase     :  str							      =    0

       _UpperCAmelCase     :  Tuple							      =    []
       for line in lines:
              if line.startswith(_UpperCAmelCase    ):
                     _UpperCAmelCase     :  List[Any]							      =    True
              elif in_class and line.startswith(_UpperCAmelCase    ):
                     _UpperCAmelCase     :  List[str]							      =    True
              elif in_class and in_func and (line.startswith(_UpperCAmelCase    ) or line.startswith(_UpperCAmelCase    )):
                     _UpperCAmelCase     :  Dict							      =    len(line.split(correct_line.split()[0]    )[0]    )
                     count += 1

                     if count == done_test[_id]:
                            _UpperCAmelCase     :  Tuple							      =    True

              if in_class and in_func and in_line:
                     if ")" not in line:
                            continue
                     else:
                            _UpperCAmelCase     :  str							      =    True

              if in_class and in_func and in_line and insert_line:
                     new_lines.append(F"""{spaces * ' '}{correct_line}"""    )
                     _UpperCAmelCase     :  str							      =    False
              else:
                     new_lines.append(_UpperCAmelCase    )

       with open(_UpperCAmelCase			,	"w"    ) as f:
              for line in new_lines:
                     f.write(_UpperCAmelCase    )

def 	UpperCamelCase_							(					_UpperCAmelCase  :      Optional[Any]			,	_UpperCAmelCase  :      str=None    )    ->    Optional[int]:


       """simple docstring"""







       if fail is not None:
              with open(_UpperCAmelCase			,	"r"    ) as f:
                     _UpperCAmelCase     :  Any							      =    {l.strip() for l in f.readlines()}
       else:
              _UpperCAmelCase     :  int							      =    None

       with open(_UpperCAmelCase			,	"r"    ) as f:
              _UpperCAmelCase     :  Any							      =    f.readlines()

       _UpperCAmelCase     :  Any							      =    defaultdict(_UpperCAmelCase    )
       for line in correct_lines:
              _UpperCAmelCase      ,  _UpperCAmelCase      ,  _UpperCAmelCase      ,  _UpperCAmelCase     :  Optional[Any]							      =    line.split(";"    )
              if test_failures is None or "::".join([file, class_name, test_name]    ) in test_failures:
                     overwrite_file(_UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase			,	_UpperCAmelCase    )


if __name__ == "__main__":
  __SCREAMING_SNAKE_CASE       :     int     =  argparse.ArgumentParser()
  parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
  parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
  __SCREAMING_SNAKE_CASE       :     Any     =  parser.parse_args()

  main(args.correct_filename, args.fail_filename)


'''simple docstring'''




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


__SCREAMING_SNAKE_CASE       :     str     =  logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE       :     str     =  {"""vocab_file""": """vocab.txt""", """tokenizer_file""": """tokenizer.json"""}

__SCREAMING_SNAKE_CASE       :     Dict     =  {
    """vocab_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"""
        ),
        """distilbert-base-german-cased""": """https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt""",
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """distilbert-base-uncased""": """https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json""",
        """distilbert-base-uncased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-cased""": """https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json""",
        """distilbert-base-cased-distilled-squad""": (
            """https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-german-cased""": (
            """https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"""
        ),
        """distilbert-base-multilingual-cased""": (
            """https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"""
        ),
    },
}

__SCREAMING_SNAKE_CASE       :     Optional[Any]     =  {
    """distilbert-base-uncased""": 512,
    """distilbert-base-uncased-distilled-squad""": 512,
    """distilbert-base-cased""": 512,
    """distilbert-base-cased-distilled-squad""": 512,
    """distilbert-base-german-cased""": 512,
    """distilbert-base-multilingual-cased""": 512,
}


__SCREAMING_SNAKE_CASE       :     List[Any]     =  {
    """distilbert-base-uncased""": {"""do_lower_case""": True},
    """distilbert-base-uncased-distilled-squad""": {"""do_lower_case""": True},
    """distilbert-base-cased""": {"""do_lower_case""": False},
    """distilbert-base-cased-distilled-squad""": {"""do_lower_case""": False},
    """distilbert-base-german-cased""": {"""do_lower_case""": False},
    """distilbert-base-multilingual-cased""": {"""do_lower_case""": False},
}

class 	lowerCamelCase_	(snake_case__    ):
      '''simple docstring'''

      __UpperCamelCase:  Union[str, Any]						=						VOCAB_FILES_NAMES
      __UpperCamelCase:  str						=						PRETRAINED_VOCAB_FILES_MAP
      __UpperCamelCase:  Optional[Any]						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCamelCase:  Any						=						PRETRAINED_INIT_CONFIGURATION
      __UpperCamelCase:  str						=						["input_ids", "attention_mask"]
      __UpperCamelCase:  List[str]						=						DistilBertTokenizer




      def __init__(       self						:				str						,					A						:				int=None						,					A						:				Tuple=None						,					A						:				Tuple=True						,					A						:				Dict="[UNK]"						,					A						:				List[Any]="[SEP]"						,					A						:				Optional[Any]="[PAD]"						,					A						:				Dict="[CLS]"						,					A						:				Tuple="[MASK]"						,					A						:				str=True						,					A						:				Dict=None						,					**A						:				List[Any]						,					):
             super().__init__(
                 A						,					tokenizer_file=A						,					do_lower_case=A						,					unk_token=A						,					sep_token=A						,					pad_token=A						,					cls_token=A						,					mask_token=A						,					tokenize_chinese_chars=A						,					strip_accents=A						,					**A						,					)

             _UpperCAmelCase     :  str							      =    json.loads(self.backend_tokenizer.normalizer.__getstate__()       )
             if (
                 normalizer_state.get("lowercase"						,					A       ) != do_lower_case
                 or normalizer_state.get("strip_accents"						,					A       ) != strip_accents
                 or normalizer_state.get("handle_chinese_chars"						,					A       ) != tokenize_chinese_chars
             ):
                    _UpperCAmelCase     :  Dict							      =    getattr(A						,					normalizer_state.pop("type"       )       )
                    _UpperCAmelCase     :  int							      =    do_lower_case
                    _UpperCAmelCase     :  Optional[int]							      =    strip_accents
                    _UpperCAmelCase     :  str							      =    tokenize_chinese_chars
                    _UpperCAmelCase     :  List[Any]							      =    normalizer_class(**A       )

             _UpperCAmelCase     :  Dict							      =    do_lower_case




      def      _A	(       self						:				List[Any]						,					A						:				Tuple						,					A						:				Any=None       ):
             _UpperCAmelCase     :  Optional[int]							      =    [self.cls_token_id] + token_ids_a + [self.sep_token_id]

             if token_ids_a:
                    output += token_ids_a + [self.sep_token_id]

             return output




      def      _A	(       self						:				int						,					A						:				List[int]						,					A						:				Optional[List[int]] = None       ):
             _UpperCAmelCase     :  Any							      =    [self.sep_token_id]
             _UpperCAmelCase     :  str							      =    [self.cls_token_id]
             if token_ids_a is None:
                    return len(cls + token_ids_a + sep       ) * [0]
             return len(cls + token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1]





      def      _A	(       self						:				Dict						,					A						:				str						,					A						:				Optional[str] = None       ):
             _UpperCAmelCase     :  Any							      =    self._tokenizer.model.save(A						,					name=A       )
             return tuple(A       )

