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:
    lowerCAmelCase__      		=					None

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

lowerCAmelCase__      		=					"[INST]", "[/INST]"
lowerCAmelCase__      		=					"<<SYS>>\n", "\n<</SYS>>\n\n"

# fmt: off
lowerCAmelCase__      		=					"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 							a_					(		lowercase__		):






 '''simple docstring'''






 UpperCAmelCase_      					=   VOCAB_FILES_NAMES
 UpperCAmelCase_      					=   LlamaTokenizer
 UpperCAmelCase_      					=   'left'
 UpperCAmelCase_      					=   ['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]     ,       ):







        '''simple docstring'''



        super().__init__(
            vocab_file=_lowercase     ,       tokenizer_file=_lowercase     ,       clean_up_tokenization_spaces=_lowercase     ,       unk_token=_lowercase     ,       bos_token=_lowercase     ,       eos_token=_lowercase     ,       **_lowercase     ,       )
        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 						__snake_case		(     self   :    int):







        '''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=_lowercase     ,       pair=_lowercase     ,       special_tokens=_lowercase)




 @property
 def 						__snake_case		(     self   :    str):







        '''simple docstring'''



        return self._add_eos_token




 @property
 def 						__snake_case		(     self   :    Union[str, Any]):







        '''simple docstring'''



        return self._add_bos_token




 @add_eos_token.setter
 def 						__snake_case		(     self   :    Optional[int]     ,       lowercase__   :    Optional[Any]):







        '''simple docstring'''



        lowerCAmelCase__	      =   value
        self.update_post_processor()




 @add_bos_token.setter
 def 						__snake_case		(     self   :    str     ,       lowercase__   :    int):







        '''simple docstring'''



        lowerCAmelCase__	      =   value
        self.update_post_processor()




 def 						__snake_case		(     self   :    str     ,       lowercase__   :    str     ,       lowercase__   :    Optional[str] = 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(_lowercase):
               logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
               return
        lowerCAmelCase__	      =   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 						__snake_case		(     self   :    str     ,       lowercase__   :    "Conversation"):







        '''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(_lowercase) 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(_lowercase) 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=_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"""


import warnings

from ...utils import logging
from .image_processing_convnext import ConvNextImageProcessor


__UpperCamelCase       :    str         =		logging.get_logger(__name__)
class   UpperCAmelCase_	(				lowercase__   ):
    def __init__(	self			:       List[Any]   ,						*_lowercase			:       Optional[Any]   ,						**_lowercase			:       str		)						->    None:
       warnings.warn(
           "The class ConvNextFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
           " Please use ConvNextImageProcessor instead."   ,						_lowercase   ,						)
       super().__init__(*_lowercase   ,						**_lowercase		)