
import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


__SCREAMING_SNAKE_CASE			:   Dict         =     get_logger(__name__)
def     UpperCAmelCase__							(       __magic_name__						:     Union[str, Any]  ):


     '''simple docstring'''

     return TestCommand(
         args.dataset							,  args.name							,  args.cache_dir							,  args.data_dir							,  args.all_configs							,  args.save_info or args.save_infos							,  args.ignore_verifications							,  args.force_redownload							,  args.clear_cache							,  )


class 		__magic_name__   (						snake_case    ):
  _lowerCAmelCase		=	False  # to tell pytest it's not a test class





  @staticmethod
  def       _A							(							lowerCamelCase__    :	ArgumentParser				):
       lowerCAmelCase		:					List[str]  	=     parser.add_parser('''test'''						,  help='''Test dataset implementation.'''				)
       test_parser.add_argument('''--name'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  help='''Dataset processing name'''				)
       test_parser.add_argument(
           '''--cache_dir'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  help='''Cache directory where the datasets are stored.'''						,  )
       test_parser.add_argument(
           '''--data_dir'''						,  type=lowerCamelCase__						,  default=lowerCamelCase__						,  help='''Can be used to specify a manual directory to get the files from.'''						,  )
       test_parser.add_argument('''--all_configs'''						,  action='''store_true'''						,  help='''Test all dataset configurations'''				)
       test_parser.add_argument(
           '''--save_info'''						,  action='''store_true'''						,  help='''Save the dataset infos in the dataset card (README.md)'''				)
       test_parser.add_argument(
           '''--ignore_verifications'''						,  action='''store_true'''						,  help='''Run the test without checksums and splits checks.'''						,  )
       test_parser.add_argument('''--force_redownload'''						,  action='''store_true'''						,  help='''Force dataset redownload'''				)
       test_parser.add_argument(
           '''--clear_cache'''						,  action='''store_true'''						,  help='''Remove downloaded files and cached datasets after each config test'''						,  )
       # aliases
       test_parser.add_argument('''--save_infos'''						,  action='''store_true'''						,  help='''alias to save_info'''				)
       test_parser.add_argument('''dataset'''						,  type=lowerCamelCase__						,  help='''Name of the dataset to download'''				)
       test_parser.set_defaults(func=_test_command_factory				)





  def __init__(							self    :	Tuple						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  lowerCamelCase__    :	bool						,  ):
       lowerCAmelCase		:					str  	=     dataset
       lowerCAmelCase		:					List[str]  	=     name
       lowerCAmelCase		:					List[str]  	=     cache_dir
       lowerCAmelCase		:					Optional[Any]  	=     data_dir
       lowerCAmelCase		:					Union[str, Any]  	=     all_configs
       lowerCAmelCase		:					Optional[Any]  	=     save_infos
       lowerCAmelCase		:					Any  	=     ignore_verifications
       lowerCAmelCase		:					List[str]  	=     force_redownload
       lowerCAmelCase		:					List[Any]  	=     clear_cache
       if clear_cache and not cache_dir:
            print(
                '''When --clear_cache is used, specifying a cache directory is mandatory.\n'''
                '''The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'''
                '''Please provide a --cache_dir that will be used to test the dataset script.'''				)
            exit(1				)
       if save_infos:
            lowerCAmelCase		:					List[str]  	=     True





  def       _A							(							self    :	Any				):
       fl_logger().setLevel(lowerCamelCase__				)
       if self._name is not None and self._all_configs:
            print('''Both parameters `config` and `all_configs` can\'t be used at once.'''				)
            exit(1				)
       lowerCAmelCase		:					str  	=     self._dataset, self._name
       lowerCAmelCase		:					Any  	=     dataset_module_factory(lowerCamelCase__				)
       lowerCAmelCase		:					Tuple  	=     import_main_class(module.module_path				)
       lowerCAmelCase		:					Optional[Any]  	=     len(builder_cls.BUILDER_CONFIGS				) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

       def get_builders() -> Generator[DatasetBuilder, None, None]:
            if self._all_configs and builder_cls.BUILDER_CONFIGS:
                 for i, config in enumerate(builder_cls.BUILDER_CONFIGS				):
                      if "config_name" in module.builder_kwargs:
                           yield builder_cls(
                               cache_dir=self._cache_dir						,  data_dir=self._data_dir						,  **module.builder_kwargs						,  )
                      else:
                           yield builder_cls(
                               config_name=config.name						,  cache_dir=self._cache_dir						,  data_dir=self._data_dir						,  **module.builder_kwargs						,  )
            else:
                 if "config_name" in module.builder_kwargs:
                      yield builder_cls(cache_dir=self._cache_dir						,  data_dir=self._data_dir						,  **module.builder_kwargs				)
                 else:
                      yield builder_cls(
                          config_name=lowerCamelCase__						,  cache_dir=self._cache_dir						,  data_dir=self._data_dir						,  **module.builder_kwargs						,  )

       for j, builder in enumerate(get_builders()				):
            print(f'''Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'''				)
            lowerCAmelCase		:					Any  	=     os.path.exists(
                os.path.join(builder.get_imported_module_dir()						,  datasets.config.DATASETDICT_INFOS_FILENAME				)				)  # record checksums only if we need to update a (deprecated) dataset_infos.json
            builder.download_and_prepare(
                download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
                if not self._force_redownload
                else DownloadMode.FORCE_REDOWNLOAD						,  verification_mode=VerificationMode.NO_CHECKS
                if self._ignore_verifications
                else VerificationMode.ALL_CHECKS						,  try_from_hf_gcs=lowerCamelCase__						,  )
            builder.as_dataset()
            if self._save_infos:
                 builder._save_infos()

            # If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
            # The dataset_infos are saved in the YAML part of the README.md

            # Let's move it to the original directory of the dataset script, to allow the user to
            # upload them on S3 at the same time afterwards.
            if self._save_infos:
                 lowerCAmelCase		:					str  	=     os.path.join(builder_cls.get_imported_module_dir()						,  '''README.md'''				)
                 lowerCAmelCase		:					int  	=     Path(lowerCamelCase__				).name + '''.py'''
                 lowerCAmelCase		:					Optional[Any]  	=     os.path.join(lowerCamelCase__						,  lowerCamelCase__				)
                 if os.path.isfile(lowerCamelCase__				):
                      lowerCAmelCase		:					Tuple  	=     os.path.dirname(lowerCamelCase__				)
                 elif os.path.isfile(lowerCamelCase__				):
                      lowerCAmelCase		:					Optional[Any]  	=     path
                 elif os.path.isdir(lowerCamelCase__				):  # for local directories containing only data files
                      lowerCAmelCase		:					List[Any]  	=     path
                 else:  # in case of a remote dataset
                      lowerCAmelCase		:					str  	=     None
                      print(f'''Dataset card saved at {dataset_readme_path}'''				)

                 # Move dataset_info back to the user
                 if dataset_dir is not None:
                      lowerCAmelCase		:					List[str]  	=     os.path.join(lowerCamelCase__						,  '''README.md'''				)
                      copyfile(lowerCamelCase__						,  lowerCamelCase__				)
                      print(f'''Dataset card saved at {user_dataset_readme_path}'''				)

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
            if self._clear_cache:
                 if os.path.isdir(builder._cache_dir				):
                      logger.warning(f'''Clearing cache at {builder._cache_dir}'''				)
                      rmtree(builder._cache_dir				)
                 lowerCAmelCase		:					Union[str, Any]  	=     os.path.join(self._cache_dir						,  datasets.config.DOWNLOADED_DATASETS_DIR				)
                 if os.path.isdir(lowerCamelCase__				):
                      logger.warning(f'''Clearing cache at {download_dir}'''				)
                      rmtree(lowerCamelCase__				)

       print('''Test successful.'''				)


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:
		__SCREAMING_SNAKE_CASE			:   int         =     None

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

__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   Dict         =     '[INST]', '[/INST]'
__SCREAMING_SNAKE_CASE     ,				__SCREAMING_SNAKE_CASE			:   List[Any]         =     '<<SYS>>\n', '\n<</SYS>>\n\n'

# fmt: off
__SCREAMING_SNAKE_CASE			:   List[Any]         =     '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 		__magic_name__   (						snake_case    ):
		_lowerCAmelCase		=	VOCAB_FILES_NAMES
		_lowerCAmelCase		=	LlamaTokenizer
		_lowerCAmelCase		=	"left"
		_lowerCAmelCase		=	["input_ids", "attention_mask"]





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

							lowerCAmelCase		:					List[Any]  	=     vocab_file
							lowerCAmelCase		:					List[str]  	=     False if not self.vocab_file else True





		def       _A							(							self    :	Tuple				):
							lowerCAmelCase		:					List[str]  	=     self.bos_token
							lowerCAmelCase		:					Optional[Any]  	=     self.bos_token_id

							lowerCAmelCase		:					Optional[Any]  	=     self.eos_token
							lowerCAmelCase		:					List[str]  	=     self.eos_token_id

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

							lowerCAmelCase		:					Any  	=     []
							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		:					Union[str, Any]  	=     processors.TemplateProcessing(
							    single=lowerCamelCase__						,  pair=lowerCamelCase__						,  special_tokens=lowerCamelCase__				)





		@property
		def       _A							(							self    :	str				):
							return self._add_eos_token





		@property
		def       _A							(							self    :	Dict				):
							return self._add_bos_token





		@add_eos_token.setter
		def       _A							(							self    :	Union[str, Any]						,  lowerCamelCase__    :	str				):
							lowerCAmelCase		:					Any  	=     value
							self.update_post_processor()





		@add_bos_token.setter
		def       _A							(							self    :	Dict						,  lowerCamelCase__    :	Optional[Any]				):
							lowerCAmelCase		:					List[Any]  	=     value
							self.update_post_processor()





		def       _A							(							self    :	int						,  lowerCamelCase__    :	str						,  lowerCamelCase__    :	Optional[str] = None				):
							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		:					str  	=     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    :	Any						,  lowerCamelCase__    :	"Conversation"				):
							lowerCAmelCase		:					int  	=     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		:					List[str]  	=     []
							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		:					Tuple  	=     (
																	    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		:					Optional[Any]  	=     (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
