


'''simple docstring'''

import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


a_						:       Union[str, Any]      			=				get_logger(__name__)



class   snake_case					(					enum.Enum    ):





  """simple docstring"""




  _lowerCamelCase						=						'all_checks'
  _lowerCamelCase						=						'basic_checks'
  _lowerCamelCase						=						'no_checks'



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass





def __snake_case      (   UpperCAmelCase_		:		str      ,       UpperCAmelCase_		:		Dict      ,       UpperCAmelCase_		:		List[str]=None	):






 if expected_checksums is None:
  logger.info("Unable to verify checksums."	)
  return
 if len(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	) > 0:
  raise ExpectedMoreDownloadedFiles(str(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	)	)
 if len(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	) > 0:
  raise UnexpectedDownloadedFile(str(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	)	)
 lowerCamelCase_  				=						[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
 lowerCamelCase_  				=						''' for ''' + verification_name if verification_name is not None else ''''''
 if len(UpperCAmelCase_	) > 0:
  raise NonMatchingChecksumError(
      F'''Checksums didn\'t match{for_verification_name}:\n'''
      F'''{bad_urls}\n'''
      "Set `verification_mode=\'no_checks\'` to skip checksums verification and ignore this error"	)
 logger.info("All the checksums matched successfully" + for_verification_name	)



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass



class   snake_case					(					lowercase    ):





  """simple docstring"""




  pass





def __snake_case      (   UpperCAmelCase_		:		Tuple      ,       UpperCAmelCase_		:		int	):






 if expected_splits is None:
  logger.info("Unable to verify splits sizes."	)
  return
 if len(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	) > 0:
  raise ExpectedMoreSplits(str(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	)	)
 if len(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	) > 0:
  raise UnexpectedSplits(str(set(UpperCAmelCase_	) - set(UpperCAmelCase_	)	)	)
 lowerCamelCase_  				=						[
     {'''expected''': expected_splits[name], '''recorded''': recorded_splits[name]}
     for name in expected_splits
     if expected_splits[name].num_examples != recorded_splits[name].num_examples
 ]
 if len(UpperCAmelCase_	) > 0:
  raise NonMatchingSplitsSizesError(str(UpperCAmelCase_	)	)
 logger.info("All the splits matched successfully."	)





def __snake_case      (   UpperCAmelCase_		:		List[str]      ,       UpperCAmelCase_		:		Optional[int] = True	):






 if record_checksum:
  lowerCamelCase_  				=						shaaaa()
  with open(UpperCAmelCase_      ,       "rb"	) as f:
   for chunk in iter(lambda: f.read(1 << 20	)      ,       B""	):
    m.update(UpperCAmelCase_	)
   lowerCamelCase_  				=						m.hexdigest()
 else:
  lowerCamelCase_  				=						None
 return {"num_bytes": os.path.getsize(UpperCAmelCase_	), "checksum": checksum}







def __snake_case      (   UpperCAmelCase_		:		Dict	):






 if dataset_size and config.IN_MEMORY_MAX_SIZE:
  return dataset_size < config.IN_MEMORY_MAX_SIZE
 else:
  return False







'''simple docstring'''

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


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

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

a_						:       str      			=				{
    """gpt-neox-20b""": 2048,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






  def __init__(					self    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase=False    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(
       UpperCamelCase    ,						UpperCamelCase    ,						tokenizer_file=UpperCamelCase    ,						unk_token=UpperCamelCase    ,						bos_token=UpperCamelCase    ,						eos_token=UpperCamelCase    ,						add_prefix_space=UpperCamelCase    ,						**UpperCamelCase    ,						)

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

   lowerCamelCase_  				=						add_prefix_space






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )







  def 						snake_case	(					self    ,						UpperCamelCase  ):







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

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



