
"""simple docstring"""




import importlib
import inspect
from functools import wraps
from typing import TYPE_CHECKING, Optional, Union

from .download.streaming_download_manager import (
    xbasename,
    xdirname,
    xet_parse,
    xexists,
    xgetsize,
    xglob,
    xgzip_open,
    xisdir,
    xisfile,
    xjoin,
    xlistdir,
    xnumpy_load,
    xopen,
    xpandas_read_csv,
    xpandas_read_excel,
    xPath,
    xrelpath,
    xsio_loadmat,
    xsplit,
    xsplitext,
    xwalk,
    xxml_dom_minidom_parse,
)
from .utils.logging import get_logger
from .utils.patching import patch_submodule
from .utils.py_utils import get_imports


__lowerCAmelCase							:  Dict 				=		get_logger(__name__)


if TYPE_CHECKING:
					from .builder import DatasetBuilder

def __snake_case (      UpperCamelCase						,					UpperCamelCase = None    )       ->    int:


		"""simple docstring"""





		a__   		=     importlib.import_module(UpperCamelCase    )

		# TODO(QL): always update the module to add subsequent new authentication
		if hasattr(UpperCamelCase						,					'''_patched_for_streaming'''    ) and module._patched_for_streaming:
				return

		def wrap_auth(UpperCamelCase    ):
				@wraps(UpperCamelCase    )
				def wrapper(*UpperCamelCase						,					**UpperCamelCase    ):
						return function(*UpperCamelCase						,					use_auth_token=UpperCamelCase						,					**UpperCamelCase    )

				a__   		=     '''wrap_auth'''
				return wrapper

		# open files in a streaming fashion
		patch_submodule(UpperCamelCase						,					'''open'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''os.listdir'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''os.walk'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''glob.glob'''						,					wrap_auth(UpperCamelCase    )    ).start()
		# allow to navigate in remote zip files
		patch_submodule(UpperCamelCase						,					'''os.path.join'''						,					UpperCamelCase    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.dirname'''						,					UpperCamelCase    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.basename'''						,					UpperCamelCase    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.relpath'''						,					UpperCamelCase    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.split'''						,					UpperCamelCase    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.splitext'''						,					UpperCamelCase    ).start()
		# allow checks on paths
		patch_submodule(UpperCamelCase						,					'''os.path.exists'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.isdir'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.isfile'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''os.path.getsize'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''pathlib.Path'''						,					UpperCamelCase    ).start()
		# file readers
		patch_submodule(UpperCamelCase						,					'''gzip.open'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''numpy.load'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''pandas.read_csv'''						,					wrap_auth(UpperCamelCase    )						,					attrs=['''__version__''']    ).start()
		patch_submodule(UpperCamelCase						,					'''pandas.read_excel'''						,					wrap_auth(UpperCamelCase    )						,					attrs=['''__version__''']    ).start()
		patch_submodule(UpperCamelCase						,					'''scipy.io.loadmat'''						,					wrap_auth(UpperCamelCase    )						,					attrs=['''__version__''']    ).start()
		patch_submodule(UpperCamelCase						,					'''xml.etree.ElementTree.parse'''						,					wrap_auth(UpperCamelCase    )    ).start()
		patch_submodule(UpperCamelCase						,					'''xml.dom.minidom.parse'''						,					wrap_auth(UpperCamelCase    )    ).start()
		a__   		=     True




def __snake_case (      UpperCamelCase    )       ->    Optional[Any]:


		"""simple docstring"""





		extend_module_for_streaming(builder.__module__						,					use_auth_token=builder.use_auth_token    )
		# if needed, we also have to extend additional internal imports (like wmt14 -> wmt_utils)
		if not builder.__module__.startswith('''datasets.'''    ):  # check that it's not a packaged builder like csv
				for imports in get_imports(inspect.getfile(builder.__class__    )    ):
						if imports[0] == "internal":
								a__   		=     imports[1]
								a__   		=     '''.'''.join(builder.__module__.split('''.'''    )[:-1] + [internal_import_name]    )
								extend_module_for_streaming(UpperCamelCase						,					use_auth_token=builder.use_auth_token    )

    # builders can inherit from other builders that might use streaming functionality
    # (for example, ImageFolder and AudioFolder inherit from FolderBuilder which implements examples generation)
    # but these parents builders are not patched automatically as they are not instantiated, so we patch them here
		from .builder import DatasetBuilder

		a__   		=     [
		    cls.__module__
		    for cls in type(UpperCamelCase    ).__mro__[1:]  # make sure it's not the same module we've already patched
		    if issubclass(cls						,					UpperCamelCase    ) and cls.__module__ != DatasetBuilder.__module__
		]  # check it's not a standard builder from datasets.builder
		for module in parent_builder_modules:
				extend_module_for_streaming(UpperCamelCase						,					use_auth_token=builder.use_auth_token    )






"""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:
					__lowerCAmelCase							:  List[str] 				=		None

__lowerCAmelCase							:  Optional[int] 				=		logging.get_logger(__name__)
__lowerCAmelCase							:  int 				=		{'''vocab_file''': '''tokenizer.model''', '''tokenizer_file''': '''tokenizer.json'''}

__lowerCAmelCase				,__lowerCAmelCase							:  Any 				=		'''[INST]''', '''[/INST]'''
__lowerCAmelCase				,__lowerCAmelCase							:  Tuple 				=		'''<<SYS>>\n''', '''\n<</SYS>>\n\n'''

# fmt: off
__lowerCAmelCase							:  List[str] 				=		'''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 SCREAMING_SNAKE_CASE       (      lowerCAmelCase					):






	'''simple docstring'''







	snake_case__							:		List[str]         =		VOCAB_FILES_NAMES
	snake_case__							:		Optional[Any]         =		LlamaTokenizer
	snake_case__							:		Union[str, Any]         =		'left'
	snake_case__							:		Any         =		['input_ids', 'attention_mask']


	def __init__(  self :Optional[Any]       ,    __magic_name__ :Optional[Any]=None       ,    __magic_name__ :Tuple=None       ,    __magic_name__ :List[Any]=False       ,    __magic_name__ :List[str]="<unk>"       ,    __magic_name__ :List[str]="<s>"       ,    __magic_name__ :List[str]="</s>"       ,    __magic_name__ :Any=True       ,    __magic_name__ :Union[str, Any]=False       ,    **__magic_name__ :Optional[int]       ,    )			->   List[Any]:

			'''simple docstring'''






			super().__init__(
			    vocab_file=__magic_name__       ,    tokenizer_file=__magic_name__       ,    clean_up_tokenization_spaces=__magic_name__       ,    unk_token=__magic_name__       ,    bos_token=__magic_name__       ,    eos_token=__magic_name__       ,    **__magic_name__       ,    )
			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    _UpperCamelCase							(  self :List[str]			)			->   Optional[int]:

			'''simple docstring'''






			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=__magic_name__       ,    pair=__magic_name__       ,    special_tokens=__magic_name__			)


	@property
	def    _UpperCamelCase							(  self :Optional[int]			)			->   Any:

			'''simple docstring'''






			return self._add_eos_token


	@property
	def    _UpperCamelCase							(  self :Optional[int]			)			->   Optional[Any]:

			'''simple docstring'''






			return self._add_bos_token


	@add_eos_token.setter
	def    _UpperCamelCase							(  self :int       ,    __magic_name__ :int			)			->   int:

			'''simple docstring'''






			a__   		=     value
			self.update_post_processor()


	@add_bos_token.setter
	def    _UpperCamelCase							(  self :Any       ,    __magic_name__ :str			)			->   Optional[int]:

			'''simple docstring'''






			a__   		=     value
			self.update_post_processor()


	def    _UpperCamelCase							(  self :Dict       ,    __magic_name__ :str       ,    __magic_name__ :Optional[str] = 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(__magic_name__			):
					logger.error(F"Vocabulary path ({save_directory}) should be a directory"			)
					return
			a__   		=     os.path.join(
			    __magic_name__       ,    (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']			)

			if os.path.abspath(self.vocab_file			) != os.path.abspath(__magic_name__			):
					copyfile(self.vocab_file       ,    __magic_name__			)

			return (out_vocab_file,)






	def    _UpperCamelCase							(  self :int       ,    __magic_name__ :"Conversation"			)			->   List[Any]:

			'''simple docstring'''






			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(__magic_name__			) 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(__magic_name__			) 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=__magic_name__			)
			        + [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=__magic_name__			)
			return dialog_tokens




