
"""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:
					_lowercase							 =							None

_lowercase							 =							logging.get_logger(__name__)
_lowercase							 =							{'''vocab_file''': '''tokenizer.model''', '''tokenizer_file''': '''tokenizer.json'''}

_lowercase ,					_lowercase							 =							'''[INST]''', '''[/INST]'''
_lowercase ,					_lowercase							 =							'''<<SYS>>\n''', '''\n<</SYS>>\n\n'''

# fmt: off
_lowercase							 =							'''You are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe. Your\
answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure\
that your responses are socially unbiased and positive in nature.

If a question does not make any sense, or is not factually coherent, explain why instead of answering something not\
correct. If you don\'t know the answer to a question, please don\'t share false information.'''

class 				__a    (   __a					):



							'''simple docstring'''







							_lowerCamelCase				: Union[str, Any]					      =      VOCAB_FILES_NAMES
							_lowerCamelCase				: Any					      =      LlamaTokenizer
							_lowerCamelCase				: List[str]					      =      """left"""
							_lowerCamelCase				: List[str]					      =      ["""input_ids""", """attention_mask"""]
							def __init__(    self     ,						_lowerCamelCase=None     ,						_lowerCamelCase=None     ,						_lowerCamelCase=False     ,						_lowerCamelCase="<unk>"     ,						_lowerCamelCase="<s>"     ,						_lowerCamelCase="</s>"     ,						_lowerCamelCase=True     ,						_lowerCamelCase=False     ,						**_lowerCamelCase     ,						) ->       str:




										'''simple docstring'''
										super().__init__(
										    vocab_file=_lowerCamelCase     ,						tokenizer_file=_lowerCamelCase     ,						clean_up_tokenization_spaces=_lowerCamelCase     ,						unk_token=_lowerCamelCase     ,						bos_token=_lowerCamelCase     ,						eos_token=_lowerCamelCase     ,						**_lowerCamelCase     ,						)
										__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      SCREAMING_SNAKE_CASE	(    self					) ->       List[str]:




										'''simple docstring'''
										__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=_lowerCamelCase     ,						pair=_lowerCamelCase     ,						special_tokens=_lowerCamelCase					)
							@property
							def      SCREAMING_SNAKE_CASE	(    self					) ->       Dict:




										'''simple docstring'''
										return self._add_eos_token
							@property
							def      SCREAMING_SNAKE_CASE	(    self					) ->       str:




										'''simple docstring'''
										return self._add_bos_token
							@add_eos_token.setter
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Optional[Any]:




										'''simple docstring'''
										__lowercase						      =					value
										self.update_post_processor()
							@add_bos_token.setter
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Any:




										'''simple docstring'''
										__lowercase						      =					value
										self.update_post_processor()
							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase     ,						_lowerCamelCase = None					) ->       Tuple[str]:




										'''simple docstring'''
										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(_lowerCamelCase					):
													logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''					)
													return
										__lowercase						      =					os.path.join(
										    _lowerCamelCase     ,						(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]					)

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

										return (out_vocab_file,)





							def      SCREAMING_SNAKE_CASE	(    self     ,						_lowerCamelCase					) ->       Union[str, Any]:




										'''simple docstring'''
										__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(_lowerCamelCase					) 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(_lowerCamelCase					) 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=_lowerCamelCase					)
										        + [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=_lowerCamelCase					)
										return dialog_tokens







"""simple docstring"""






import os



def     lowerCAmelCase__ (		)	->Tuple:
			__lowercase						      =					0
			__lowercase						      =					0
			with open(os.path.dirname(__magic_name__			) + "/p022_names.txt"			) as file:
						__lowercase						      =					str(file.readlines()[0]			)
						__lowercase						      =					name.replace("\"" ,      ""			).split(","			)

			name.sort()
			for i in range(len(__magic_name__			)			):
						for j in name[i]:
									temp_sum += ord(__magic_name__			) - ord("A"			) + 1
						total_sum += (i + 1) * temp_sum
						__lowercase						      =					0
			return total_sum


if __name__ == "__main__":
					print(solution())





