





'''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:
	_SCREAMING_SNAKE_CASE    =			None

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

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

# fmt: off
_SCREAMING_SNAKE_CASE    =			'''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 							__lowercase				(					lowerCAmelCase__  ):







	'''simple docstring'''

	a			: Tuple      =				VOCAB_FILES_NAMES
	a			: List[Any]      =				LlamaTokenizer
	a			: List[Any]      =				"left"
	a			: 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   ,)							->							Union[str, Any]:







				'''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   _UpperCAmelCase   (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   _UpperCAmelCase   (self       )							->							Union[str, Any]:







				'''simple docstring'''





				return self._add_eos_token


	@property
	def   _UpperCAmelCase   (self       )							->							int:







				'''simple docstring'''





				return self._add_bos_token


	@add_eos_token.setter
	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Union[str, Any]:







				'''simple docstring'''





				__lowercase   =							value
				self.update_post_processor()


	@add_bos_token.setter
	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Any:







				'''simple docstring'''





				__lowercase   =							value
				self.update_post_processor()


	def   _UpperCAmelCase   (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   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							List[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 torch

from transformers import PreTrainedModel

from .custom_configuration import CustomConfig, NoSuperInitConfig






class 							__lowercase				(					lowerCAmelCase__  ):







	'''simple docstring'''

	a			: Union[str, Any]      =				CustomConfig


	def __init__(self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				super().__init__(_lowerCamelCase       )
				__lowercase   =							torch.nn.Linear(config.hidden_size   ,config.hidden_size       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							List[str]:







				'''simple docstring'''





				return self.linear(_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							List[Any]:







				'''simple docstring'''





				pass






class 							__lowercase				(					lowerCAmelCase__  ):







	'''simple docstring'''

	a			: Dict      =				NoSuperInitConfig


	def __init__(self   ,_lowerCamelCase       )							->							str:







				'''simple docstring'''





				super().__init__(_lowerCamelCase       )
				__lowercase   =							torch.nn.Linear(config.attribute   ,config.attribute       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							List[str]:







				'''simple docstring'''





				return self.linear(_lowerCamelCase       )


	def   _UpperCAmelCase   (self   ,_lowerCamelCase       )							->							Tuple:







				'''simple docstring'''





				pass





