






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		:       Any			     = logging.get_logger(__name__)

a		:       str			     = {"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

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

a		:       str			     = {
    "gpt-neox-20b": 2_048,
}
class     a    ( lowercase__   ):



      """simple docstring"""


      a  : str							       =	VOCAB_FILES_NAMES
      a  : Dict							       =	PRETRAINED_VOCAB_FILES_MAP
      a  : Optional[Any]							       =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      a  : Any							       =	['input_ids', 'attention_mask']
      def __init__(      self					:			Optional[int]		,      __lowercase					:			Any=None		,      __lowercase					:			Any=None		,      __lowercase					:			Union[str, Any]=None		,      __lowercase					:			Dict="<|endoftext|>"		,      __lowercase					:			Optional[int]="<|endoftext|>"		,      __lowercase					:			Optional[int]="<|endoftext|>"		,      __lowercase					:			Union[str, Any]=False		,      **__lowercase					:			List[Any]		,      )							->      int:
        super().__init__(
            __lowercase		,      __lowercase		,      tokenizer_file=__lowercase		,      unk_token=__lowercase		,      bos_token=__lowercase		,      eos_token=__lowercase		,      add_prefix_space=__lowercase		,      **__lowercase		,      )

        __UpperCAmelCase							:	Optional[int]           =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()					)
        if pre_tok_state.get("""add_prefix_space"""		,      __lowercase					) != add_prefix_space:
          __UpperCAmelCase							:	Union[str, Any]           =  getattr(__lowercase		,      pre_tok_state.pop("""type"""					)					)
          __UpperCAmelCase							:	Optional[Any]           =  add_prefix_space
          __UpperCAmelCase							:	Any           =  pre_tok_class(**__lowercase					)

        __UpperCAmelCase							:	List[str]           =  add_prefix_space
      def 	UpperCAmelCase      (      self					:			int		,      __lowercase					:			str		,      __lowercase					:			Optional[str] = None					)							->      Tuple[str]:
        __UpperCAmelCase							:	Optional[int]           =  self._tokenizer.model.save(__lowercase		,      name=__lowercase					)
        return tuple(__lowercase					)




      def 	UpperCAmelCase      (      self					:			Optional[Any]		,      __lowercase					:			"Conversation"					)							->      List[int]:
        __UpperCAmelCase							:	Optional[Any]           =  []
        for is_user, text in conversation.iter_texts():
          input_ids.extend(self.encode(__lowercase		,      add_special_tokens=__lowercase					) + [self.eos_token_id]					)

        if len(__lowercase					) > self.model_max_length:
          __UpperCAmelCase							:	Optional[Any]           =  input_ids[-self.model_max_length :]
        return input_ids










def 				lowerCamelCase__      (    __lowerCamelCase			:     Tuple  ,		__lowerCamelCase			:     Union[str, Any]		):
  __UpperCAmelCase							:	Tuple           =  [1]
  for i in range(2  ,		__lowerCamelCase		):
    factorials.append(factorials[-1] * i		)
  assert 0 <= k < factorials[-1] * n, "k out of bounds"

  __UpperCAmelCase							:	Optional[Any]           =  []
  __UpperCAmelCase							:	str           =  list(range(__lowerCamelCase		)		)

  # Find permutation
  while factorials:
    __UpperCAmelCase							:	Any           =  factorials.pop()
    __UpperCAmelCase      , __UpperCAmelCase							:	Optional[Any]           =  divmod(__lowerCamelCase  ,		__lowerCamelCase		)
    permutation.append(elements[number]		)
    elements.remove(elements[number]		)
  permutation.append(elements[0]		)

  return permutation


if __name__ == "__main__":
       import doctest

       doctest.testmod()


