

"""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 			lowerCAmelCase_			( lowerCamelCase__      ):



						'''simple docstring'''


						_lowerCamelCase:      Optional[int] =      VOCAB_FILES_NAMES
						_lowerCamelCase:      List[str] =      LlamaTokenizer
						_lowerCamelCase:      Any =      'left'
						_lowerCamelCase:      List[Any] =      ['input_ids', 'attention_mask']


						def __init__(	self       : List[str]					,A_       : Union[str, Any]=None					,A_       : List[Any]=None					,A_       : List[str]=False					,A_       : Tuple="<unk>"					,A_       : str="<s>"					,A_       : Optional[int]="</s>"					,A_       : Optional[Any]=True					,A_       : List[Any]=False					,**A_       : Union[str, Any]					,)       ->				int:
							super().__init__(
							    vocab_file=lowercase_					,tokenizer_file=lowercase_					,clean_up_tokenization_spaces=lowercase_					,unk_token=lowercase_					,bos_token=lowercase_					,eos_token=lowercase_					,**lowercase_					,)
							A  				=				add_bos_token
							A  				=				add_eos_token
							self.update_post_processor()

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


						def   _SCREAMING_SNAKE_CASE (	self       : List[str] )       ->				List[Any]:
							A  				=				self.bos_token
							A  				=				self.bos_token_id

							A  				=				self.eos_token
							A  				=				self.eos_token_id

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

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


						@property
						def   _SCREAMING_SNAKE_CASE (	self       : Optional[int] )       ->				Optional[int]:
							return self._add_eos_token


						@property
						def   _SCREAMING_SNAKE_CASE (	self       : Any )       ->				Any:
							return self._add_bos_token


						@add_eos_token.setter
						def   _SCREAMING_SNAKE_CASE (	self       : Any					,A_       : str )       ->				Union[str, Any]:
							A  				=				value
							self.update_post_processor()


						@add_bos_token.setter
						def   _SCREAMING_SNAKE_CASE (	self       : Optional[int]					,A_       : Optional[int] )       ->				Union[str, Any]:
							A  				=				value
							self.update_post_processor()


						def   _SCREAMING_SNAKE_CASE (	self       : List[Any]					,A_       : Union[str, Any]					,A_       : Tuple = 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
							A  				=				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   _SCREAMING_SNAKE_CASE (	self       : str					,A_       : Union[str, Any] )       ->				Any:
							A  				=				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...)' )

							A  				=				[]
							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]:
									A  				=				(
									    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]:
								A  				=				(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"""


from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import is_torch_available, is_transformers_available


if is_transformers_available() and is_torch_available():
		from .image_encoder import PaintByExampleImageEncoder
		from .pipeline_paint_by_example import PaintByExamplePipeline