"""simple docstring"""


import os
from shutil import copyfile
from typing import TYPE_CHECKING, Optional, Tuple

from tokenizers import processors

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging
from ...utils.versions import require_version


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation

require_version("tokenizers>=0.13.3")

if is_sentencepiece_available():
  from .tokenization_llama import LlamaTokenizer
else:
  __UpperCamelCase       :    Union[str, Any]         =		None

__UpperCamelCase       :    Union[str, Any]         =		logging.get_logger(__name__)
__UpperCamelCase       :    Union[str, Any]         =		{"vocab_file": "tokenizer.model", "tokenizer_file": "tokenizer.json"}

__UpperCamelCase       ,				__UpperCamelCase       :    str         =		"[INST]", "[/INST]"
__UpperCamelCase       ,				__UpperCamelCase       :    List[str]         =		"<<SYS>>\n", "\n<</SYS>>\n\n"

# fmt: off
__UpperCamelCase       :    Optional[Any]         =		"You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\\nanswers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\\nthat your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not\\ncorrect. If you don't know the answer to a question, please don't share false information."
class   UpperCAmelCase_	(				lowercase__   ):
    snake_case_											=      VOCAB_FILES_NAMES
    snake_case_											=      LlamaTokenizer
    snake_case_											=      """left"""
    snake_case_											=      ["""input_ids""", """attention_mask"""]
    def __init__(	self			:       Optional[int]   ,						_lowercase			:       List[Any]=None   ,						_lowercase			:       List[Any]=None   ,						_lowercase			:       int=False   ,						_lowercase			:       Optional[Any]="<unk>"   ,						_lowercase			:       Optional[Any]="<s>"   ,						_lowercase			:       Union[str, Any]="</s>"   ,						_lowercase			:       List[str]=True   ,						_lowercase			:       Union[str, Any]=False   ,						**_lowercase			:       Optional[int]   ,						)						->    Any:
       super().__init__(
           vocab_file=_lowercase   ,						tokenizer_file=_lowercase   ,						clean_up_tokenization_spaces=_lowercase   ,						unk_token=_lowercase   ,						bos_token=_lowercase   ,						eos_token=_lowercase   ,						**_lowercase   ,						)
       _lowercase							     =       add_bos_token
       _lowercase							     =       add_eos_token
       self.update_post_processor()

       _lowercase							     =       vocab_file
       _lowercase							     =       False if not self.vocab_file else True
    def 		_lowerCamelCase      (	self			:       int		)						->    Optional[int]:
       _lowercase							     =       self.bos_token
       _lowercase							     =       self.bos_token_id

       _lowercase							     =       self.eos_token
       _lowercase							     =       self.eos_token_id

       _lowercase							     =       f"""{(bos+":0 ") * self.add_bos_token}$A:0{(" "+eos+":0") * self.add_eos_token}"""
       _lowercase							     =       f"""{single}{(" "+bos+":1") * self.add_bos_token} $B:1{(" "+eos+":1") * self.add_eos_token}"""

       _lowercase							     =       []
       if self.add_bos_token:
          special_tokens.append((bos, bos_token_id)		)
       if self.add_eos_token:
          special_tokens.append((eos, eos_token_id)		)
       _lowercase							     =       processors.TemplateProcessing(
           single=_lowercase   ,						pair=_lowercase   ,						special_tokens=_lowercase		)
    @property
    def 		_lowerCamelCase      (	self			:       str		)						->    List[str]:
       return self._add_eos_token
    @property
    def 		_lowerCamelCase      (	self			:       Union[str, Any]		)						->    List[str]:
       return self._add_bos_token
    @add_eos_token.setter
    def 		_lowerCamelCase      (	self			:       Optional[int]   ,						_lowercase			:       Optional[Any]		)						->    Optional[int]:
       _lowercase							     =       value
       self.update_post_processor()
    @add_bos_token.setter
    def 		_lowerCamelCase      (	self			:       str   ,						_lowercase			:       int		)						->    Any:
       _lowercase							     =       value
       self.update_post_processor()
    def 		_lowerCamelCase      (	self			:       str   ,						_lowercase			:       str   ,						_lowercase			:       Optional[str] = None		)						->    Tuple[str]:
       if not self.can_save_slow_tokenizer:
          raise ValueError(
              "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
              "tokenizer."		)

       if not os.path.isdir(_lowercase		):
          logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""		)
          return
       _lowercase							     =       os.path.join(
           _lowercase   ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]		)

       if os.path.abspath(self.vocab_file		) != os.path.abspath(_lowercase		):
          copyfile(self.vocab_file   ,						_lowercase		)

       return (out_vocab_file,)




    def 		_lowerCamelCase      (	self			:       str   ,						_lowercase			:       "Conversation"		)						->    Dict:
       _lowercase							     =       list(conversation.iter_texts()		)
       if not all([is_user for is_user, msg in dialogue[::2]]		) or not all(
           [not is_user for is_user, msg in dialogue[1::2]]		):
          raise ValueError(
              "The model only supports 'user' and 'assistant' roles, starting with user and alternating (u/a/u/a/u...)"		)

       _lowercase							     =       []
       if len(conversation.past_user_inputs		) > 0:
          if not conversation.past_user_inputs[0].startswith(_lowercase		) or E_SYS not in conversation.past_user_inputs[0]:
             _lowercase							     =       (
                 B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + conversation.past_user_inputs[0]
             )
       elif not dialogue[0][1].startswith(_lowercase		) or E_SYS not in dialogue[0][1]:
          _lowercase							     =       (dialogue[0][0], B_SYS + DEFAULT_SYSTEM_PROMPT + E_SYS + dialogue[0][1])

       dialog_tokens += sum(
           [
               [self.bos_token_id]
               + self.encode(
                   f"""{B_INST} {(prompt[1]).strip()} {E_INST} {(answer[1]).strip()} """   ,						add_special_tokens=_lowercase		)
               + [self.eos_token_id]
               for prompt, answer in zip(dialogue[::2]   ,						dialogue[1::2]		)
           ]   ,						[]   ,						)
       if not (dialogue[-1][0]):
          raise ValueError(f"""Last message must be from user, got {dialogue[-1]["role"]}"""		)
       dialog_tokens += [self.bos_token_id] + self.encode(
           f"""{B_INST} {(dialogue[-1][1]).strip()} {E_INST}"""   ,						add_special_tokens=_lowercase		)
       return dialog_tokens
"""simple docstring"""


__UpperCamelCase       :    List[Any]         =		"\n# Diffusers installation\n! pip install diffusers transformers datasets accelerate\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/diffusers.git\n"

__UpperCamelCase       :    Any         =		[{"type": "code", "content": INSTALL_CONTENT}]