




import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


lowerCamelCase							:						Any					       =  logging.get_logger(__name__)

lowerCamelCase							:						Optional[int]					       =  {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

lowerCamelCase							:						List[Any]					       =  {
    "tokenizer_file": {
        "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json",
    },
}

lowerCamelCase							:						Dict					       =  {
    "gpt-neox-20b": 2_048,
}







class     A(		UpperCamelCase  ):



 '''simple docstring'''


 UpperCamelCase		  =		VOCAB_FILES_NAMES
 UpperCamelCase		  =		PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase		  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase		  =		['''input_ids''', '''attention_mask''']

 def __init__(							self   :    List[str]		,				A_   :    List[Any]=None		,				A_   :    Tuple=None		,				A_   :    Union[str, Any]=None		,				A_   :    Any="<|endoftext|>"		,				A_   :    str="<|endoftext|>"		,				A_   :    int="<|endoftext|>"		,				A_   :    Optional[Any]=False		,				**A_   :    List[Any]		,				)  ->      int:

       """simple docstring"""






       super().__init__(
           A_		,				A_		,				tokenizer_file=A_		,				unk_token=A_		,				bos_token=A_		,				eos_token=A_		,				add_prefix_space=A_		,				**A_		,				)

       lowerCamelCase_							=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()    )
       if pre_tok_state.get('add_prefix_space'		,				A_    ) != add_prefix_space:
             lowerCamelCase_							=       getattr(A_		,				pre_tok_state.pop('type'    )    )
             lowerCamelCase_							=       add_prefix_space
             lowerCamelCase_							=       pre_tok_class(**A_    )

       lowerCamelCase_							=       add_prefix_space

 def 							a__					(							self   :    Optional[int]		,				A_   :    str		,				A_   :    Optional[str] = None    )  ->      Tuple[str]:

       """simple docstring"""






       lowerCamelCase_							=       self._tokenizer.model.save(A_		,				name=A_    )
       return tuple(A_    )





 def 							a__					(							self   :    List[str]		,				A_   :    "Conversation"    )  ->      List[int]:

       """simple docstring"""






       lowerCamelCase_							=       []
       for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(A_		,				add_special_tokens=A_    ) + [self.eos_token_id]    )

       if len(A_    ) > self.model_max_length:
             lowerCamelCase_							=       input_ids[-self.model_max_length :]
       return input_ids











'''simple docstring'''



import argparse
from collections import defaultdict


def 				lowercase_					(     __A			:							Optional[Any]       ,   __A			:							Optional[int]       ,   __A			:							str       ,   __A			:							Tuple       ,   __A			:							int      )							->   Dict:



 """simple docstring"""




 lowercase       : int						=F'{file}_{class_name}_{test_name}'
 done_test[_id] += 1

 with open(__A       ,   '''r'''      ) as f:
  lowercase       : List[Any]						=f.readlines()

 lowercase       : Tuple						=F'class {class_name}('
 lowercase       : Optional[Any]						=F'{4 * " "}def {test_name}('
 lowercase       : Union[str, Any]						=F'{8 * " "}{correct_line.split()[0]}'
 lowercase       : List[Any]						=F'{1_6 * " "}{correct_line.split()[0]}'
 lowercase       : int						=False
 lowercase       : Dict						=False
 lowercase       : Optional[Any]						=False
 lowercase       : str						=False
 lowercase       : str						=0
 lowercase       : Optional[Any]						=0

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

   if count == done_test[_id]:
    lowercase       : Dict						=True

  if in_class and in_func and in_line:
   if ")" not in line:
    continue
   else:
    lowercase       : Any						=True

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

 with open(__A       ,   '''w'''      ) as f:
  for line in new_lines:
   f.write(__A      )


def 				lowercase_					(     __A			:							Any       ,   __A			:							List[Any]=None      )							->   str:



 """simple docstring"""




 if fail is not None:
  with open(__A       ,   '''r'''      ) as f:
   lowercase       : Optional[Any]						={l.strip() for l in f.readlines()}
 else:
  lowercase       : int						=None

 with open(__A       ,   '''r'''      ) as f:
  lowercase       : Union[str, Any]						=f.readlines()

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


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE							=						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							=						parser.parse_args()

      main(args.correct_filename, args.fail_filename)



