'''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				   =  '''[INST]''', '''[/INST]'''
__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__( snake_case_     ):


			'''simple docstring'''






			UpperCAmelCase_      :					List[str]								=	VOCAB_FILES_NAMES
			UpperCAmelCase_      :					Tuple								=	LlamaTokenizer
			UpperCAmelCase_      :					List[str]								=	"""left"""
			UpperCAmelCase_      :					Union[str, Any]								=	["""input_ids""", """attention_mask"""]



			def __init__(       self	,   __lowerCAmelCase=None	,   __lowerCAmelCase=None	,   __lowerCAmelCase=False	,   __lowerCAmelCase="<unk>"	,   __lowerCAmelCase="<s>"	,   __lowerCAmelCase="</s>"	,   __lowerCAmelCase=True	,   __lowerCAmelCase=False	,   **__lowerCAmelCase	,   ):




					"""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	,   )
					lowerCAmelCase        =  add_bos_token
					lowerCAmelCase        =  add_eos_token
					self.update_post_processor()

					lowerCAmelCase        =  vocab_file
					lowerCAmelCase        =  False if not self.vocab_file else True



			def 							a_	(       self):




					"""simple docstring"""


					lowerCAmelCase        =  self.bos_token
					lowerCAmelCase        =  self.bos_token_id

					lowerCAmelCase        =  self.eos_token
					lowerCAmelCase        =  self.eos_token_id

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

					lowerCAmelCase        =  []
					if self.add_bos_token:
							special_tokens.append((bos, bos_token_id))
					if self.add_eos_token:
							special_tokens.append((eos, eos_token_id))
					lowerCAmelCase        =  processors.TemplateProcessing(
					    single=__lowerCAmelCase	,   pair=__lowerCAmelCase	,   special_tokens=__lowerCAmelCase)



			@property
			def 							a_	(       self):




					"""simple docstring"""


					return self._add_eos_token



			@property
			def 							a_	(       self):




					"""simple docstring"""


					return self._add_bos_token



			@add_eos_token.setter
			def 							a_	(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  value
					self.update_post_processor()



			@add_bos_token.setter
			def 							a_	(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  value
					self.update_post_processor()



			def 							a_	(       self	,   __lowerCAmelCase	,   __lowerCAmelCase = None):




					"""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
					lowerCAmelCase        =  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 							a_	(       self	,   __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase        =  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...)""")

					lowerCAmelCase        =  []
					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]:
									lowerCAmelCase        =  (
									    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]:
							lowerCAmelCase        =  (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'''




from ..utils import DummyObject, requires_backends






class     a__( metaclass=lowerCAmelCase__     ):


			'''simple docstring'''






			UpperCAmelCase_      :					Optional[int]								=	['''torch''', '''transformers''', '''k_diffusion''']



			def __init__(       self	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(self	,   ["""torch""", """transformers""", """k_diffusion"""])



			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])







			@classmethod
			def 							a_	(       cls	,   *__lowerCAmelCase	,   **__lowerCAmelCase):




					"""simple docstring"""


					requires_backends(cls	,   ["""torch""", """transformers""", """k_diffusion"""])




