

"""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

from packaging import version

from .. import __version__
from .accelerate_utils import apply_forward_hook
from .constants import (
    CONFIG_NAME,
    DEPRECATED_REVISION_ARGS,
    DIFFUSERS_CACHE,
    DIFFUSERS_DYNAMIC_MODULE_NAME,
    FLAX_WEIGHTS_NAME,
    HF_MODULES_CACHE,
    HUGGINGFACE_CO_RESOLVE_ENDPOINT,
    ONNX_EXTERNAL_WEIGHTS_NAME,
    ONNX_WEIGHTS_NAME,
    SAFETENSORS_WEIGHTS_NAME,
    TEXT_ENCODER_ATTN_MODULE,
    WEIGHTS_NAME,
)
from .deprecation_utils import deprecate
from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .hub_utils import (
    HF_HUB_OFFLINE,
    _add_variant,
    _get_model_file,
    extract_commit_hash,
    http_user_agent,
)
from .import_utils import (
    BACKENDS_MAPPING,
    ENV_VARS_TRUE_AND_AUTO_VALUES,
    ENV_VARS_TRUE_VALUES,
    USE_JAX,
    USE_TF,
    USE_TORCH,
    DummyObject,
    OptionalDependencyNotAvailable,
    is_accelerate_available,
    is_accelerate_version,
    is_bsa_available,
    is_flax_available,
    is_ftfy_available,
    is_inflect_available,
    is_invisible_watermark_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_librosa_available,
    is_note_seq_available,
    is_omegaconf_available,
    is_onnx_available,
    is_safetensors_available,
    is_scipy_available,
    is_tensorboard_available,
    is_tf_available,
    is_torch_available,
    is_torch_version,
    is_torchsde_available,
    is_transformers_available,
    is_transformers_version,
    is_unidecode_available,
    is_wandb_available,
    is_xformers_available,
    requires_backends,
)
from .logging import get_logger
from .outputs import BaseOutput
from .pil_utils import PIL_INTERPOLATION, numpy_to_pil, pt_to_pil
from .torch_utils import is_compiled_module, randn_tensor


if is_torch_available():
					from .testing_utils import (
					    floats_tensor,
					    load_hf_numpy,
					    load_image,
					    load_numpy,
					    load_pt,
					    nightly,
					    parse_flag_from_env,
					    print_tensor_test,
					    require_torch_a,
					    require_torch_gpu,
					    skip_mps,
					    slow,
					    torch_all_close,
					    torch_device,
					)
					from .torch_utils import maybe_allow_in_graph

from .testing_utils import export_to_gif, export_to_video


_lowercase							 =							get_logger(__name__)



def     lowerCAmelCase__ (		__magic_name__			)	->Optional[int]:
			if version.parse(__magic_name__			) < version.parse(__magic_name__			):
						if "dev" in min_version:
									__lowercase						      =					(
									    "This example requires a source install from HuggingFace diffusers (see "
									    "`https://huggingface.co/docs/diffusers/installation#install-from-source`),"
									)
						else:
									__lowercase						      =					F'''This example requires a minimum version of {min_version},'''
						error_message += F''' but the version found is {__version__}.\n'''
						raise ImportError(__magic_name__			)





