






'''simple docstring'''





import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile
from typing import List

from datasets import config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_config import DownloadConfig
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.info_utils import VerificationMode
def __UpperCAmelCase (			A			:	str	,   **A			:	str						)  -> int:
   return RunBeamCommand(
       args.dataset	,   args.name	,   args.cache_dir	,   args.beam_pipeline_options	,   args.data_dir	,   args.all_configs	,   args.save_info or args.save_infos	,   args.ignore_verifications	,   args.force_redownload	,   **A	,   )







class 				snake_case__     (			UpperCamelCase):




     @staticmethod
     def 						A     (       _A       :						ArgumentParser     )  ->    int:
        UpperCAmelCase_     :   Tuple       =   parser.add_parser('''run_beam'''							,				help='''Run a Beam dataset processing pipeline'''     )
        run_beam_parser.add_argument('''dataset'''							,				type=_A							,				help='''Name of the dataset to download'''     )
        run_beam_parser.add_argument('''--name'''							,				type=_A							,				default=_A							,				help='''Dataset config name'''     )
        run_beam_parser.add_argument(
            '''--cache_dir'''							,				type=_A							,				default=_A							,				help='''Cache directory where the datasets are stored'''							,				)
        run_beam_parser.add_argument(
            '''--beam_pipeline_options'''							,				type=_A							,				default=''''''							,				help='''Beam pipeline options, separated by commas. Example:: `--beam_pipeline_options=job_name=my-job,project=my-project`'''							,				)
        run_beam_parser.add_argument(
            '''--data_dir'''							,				type=_A							,				default=_A							,				help='''Can be used to specify a manual directory to get the files from'''							,				)
        run_beam_parser.add_argument('''--all_configs'''							,				action='''store_true'''							,				help='''Test all dataset configurations'''     )
        run_beam_parser.add_argument('''--save_info'''							,				action='''store_true'''							,				help='''Save the dataset infos file'''     )
        run_beam_parser.add_argument(
            '''--ignore_verifications'''							,				action='''store_true'''							,				help='''Run the test without checksums and splits checks'''     )
        run_beam_parser.add_argument('''--force_redownload'''							,				action='''store_true'''							,				help='''Force dataset redownload'''     )
        # aliases
        run_beam_parser.add_argument('''--save_infos'''							,				action='''store_true'''							,				help='''alias for save_info'''     )
        run_beam_parser.set_defaults(func=_A     )




     def __init__(       self       :						Union[str, Any]							,				_A       :						str							,				_A       :						str							,				_A       :						str							,				_A       :						str							,				_A       :						str							,				_A       :						bool							,				_A       :						bool							,				_A       :						bool							,				_A       :						bool							,				**_A       :						int							,				)  ->    Optional[Any]:
        UpperCAmelCase_     :   int       =   dataset
        UpperCAmelCase_     :   Dict       =   name
        UpperCAmelCase_     :   List[str]       =   cache_dir
        UpperCAmelCase_     :   List[Any]       =   beam_pipeline_options
        UpperCAmelCase_     :   Any       =   data_dir
        UpperCAmelCase_     :   Union[str, Any]       =   all_configs
        UpperCAmelCase_     :   str       =   save_infos
        UpperCAmelCase_     :   Optional[Any]       =   ignore_verifications
        UpperCAmelCase_     :   int       =   force_redownload
        UpperCAmelCase_     :   int       =   config_kwargs





     def 						A     (       self       :						int     )  ->    int:
        import apache_beam as beam

        if self._name is not None and self._all_configs:
           print('''Both parameters `name` and `all_configs` can\'t be used at once.'''     )
           exit(1     )
        UpperCAmelCase_     :   Tuple       =   self._dataset, self._name
        UpperCAmelCase_     :   Union[str, Any]       =   dataset_module_factory(_A     )
        UpperCAmelCase_     :   Union[str, Any]       =   import_main_class(dataset_module.module_path     )
        UpperCAmelCase_     :   List[DatasetBuilder]       =   []
        if self._beam_pipeline_options:
           UpperCAmelCase_     :   Union[str, Any]       =   beam.options.pipeline_options.PipelineOptions(
               flags=[F"--{opt.strip()}" for opt in self._beam_pipeline_options.split(''','''     ) if opt]     )
        else:
           UpperCAmelCase_     :   Any       =   None
        if self._all_configs and len(builder_cls.BUILDER_CONFIGS     ) > 0:
           for builder_config in builder_cls.BUILDER_CONFIGS:
              builders.append(
                  builder_cls(
                      config_name=builder_config.name							,				data_dir=self._data_dir							,				hash=dataset_module.hash							,				beam_options=_A							,				cache_dir=self._cache_dir							,				base_path=dataset_module.builder_kwargs.get('''base_path'''     )							,				)     )
        else:
           builders.append(
               builder_cls(
                   config_name=_A							,				data_dir=self._data_dir							,				beam_options=_A							,				cache_dir=self._cache_dir							,				base_path=dataset_module.builder_kwargs.get('''base_path'''     )							,				**self._config_kwargs							,				)     )

        for builder in builders:
           builder.download_and_prepare(
               download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
               if not self._force_redownload
               else DownloadMode.FORCE_REDOWNLOAD							,				download_config=DownloadConfig(cache_dir=config.DOWNLOADED_DATASETS_PATH     )							,				verification_mode=VerificationMode.NO_CHECKS
               if self._ignore_verifications
               else VerificationMode.ALL_CHECKS							,				try_from_hf_gcs=_A							,				)
           if self._save_infos:
              builder._save_infos()

        print('''Apache beam run successful.'''     )

        # If save_infos=True, the dataset infos file is created next to the loaded module file.
        # 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:
           UpperCAmelCase_     :   str       =   os.path.join(builder_cls.get_imported_module_dir()							,				config.DATASETDICT_INFOS_FILENAME     )

           UpperCAmelCase_     :   Optional[Any]       =   Path(_A     ).name + '''.py'''

           UpperCAmelCase_     :   Any       =   os.path.join(_A							,				_A     )
           if os.path.isfile(_A     ):
              UpperCAmelCase_     :   Optional[int]       =   os.path.dirname(_A     )
           elif os.path.isfile(_A     ):
              UpperCAmelCase_     :   Union[str, Any]       =   path
           else:  # in case of a remote dataset
              print(F"Dataset Infos file saved at {dataset_infos_path}"     )
              exit(1     )

           # Move datasetinfo back to the user
           UpperCAmelCase_     :   Dict       =   os.path.join(_A							,				config.DATASETDICT_INFOS_FILENAME     )
           copyfile(_A							,				_A     )
           print(F"Dataset Infos file saved at {user_dataset_infos_path}"     )










'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


_UpperCamelCase		:		str								=			{}

try:
						if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase		:		List[Any]								=			['MBart50Tokenizer']

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase		:		List[str]								=			['MBart50TokenizerFast']


if TYPE_CHECKING:
						try:
												if not is_sentencepiece_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_mbartaa import MBartaaTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_mbartaa_fast import MBartaaTokenizerFast

else:
						import sys

						_UpperCamelCase		:		Optional[int]								=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


