






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 						A_					(						lowercase_	,  **lowercase_			)				->List[str]:







 """simple docstring"""

 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	,  **lowercase_	,  )
class 	a_(		lowercase__	):



     """simple docstring"""



     @staticmethod
     def     __UpperCamelCase						(		lowerCAmelCase__					:	ArgumentParser)							->	Any:

      """simple docstring"""
      SCREAMING_SNAKE_CASE				    =		parser.add_parser('run_beam'  ,  help='Run a Beam dataset processing pipeline')
      run_beam_parser.add_argument('dataset'  ,  type=lowerCAmelCase__  ,  help='Name of the dataset to download')
      run_beam_parser.add_argument('--name'  ,  type=lowerCAmelCase__  ,  default=lowerCAmelCase__  ,  help='Dataset config name')
      run_beam_parser.add_argument(
          '--cache_dir'  ,  type=lowerCAmelCase__  ,  default=lowerCAmelCase__  ,  help='Cache directory where the datasets are stored'  ,  )
      run_beam_parser.add_argument(
          '--beam_pipeline_options'  ,  type=lowerCAmelCase__  ,  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=lowerCAmelCase__  ,  default=lowerCAmelCase__  ,  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=lowerCAmelCase__)





     def __init__(		self					:	Union[str, Any]  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	str  ,  lowerCAmelCase__					:	bool  ,  lowerCAmelCase__					:	bool  ,  lowerCAmelCase__					:	bool  ,  lowerCAmelCase__					:	bool  ,  **lowerCAmelCase__					:	int  ,  )							->	str:

      """simple docstring"""
      SCREAMING_SNAKE_CASE				    =		dataset
      SCREAMING_SNAKE_CASE				    =		name
      SCREAMING_SNAKE_CASE				    =		cache_dir
      SCREAMING_SNAKE_CASE				    =		beam_pipeline_options
      SCREAMING_SNAKE_CASE				    =		data_dir
      SCREAMING_SNAKE_CASE				    =		all_configs
      SCREAMING_SNAKE_CASE				    =		save_infos
      SCREAMING_SNAKE_CASE				    =		ignore_verifications
      SCREAMING_SNAKE_CASE				    =		force_redownload
      SCREAMING_SNAKE_CASE				    =		config_kwargs





     def     __UpperCamelCase						(		self					:	Optional[int])							->	str:

      """simple docstring"""
      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)
      SCREAMING_SNAKE_CASE    ,   SCREAMING_SNAKE_CASE				    =		self._dataset, self._name
      SCREAMING_SNAKE_CASE				    =		dataset_module_factory(lowerCAmelCase__)
      SCREAMING_SNAKE_CASE				    =		import_main_class(dataset_module.module_path)
      SCREAMING_SNAKE_CASE				    =		[]
      if self._beam_pipeline_options:
       SCREAMING_SNAKE_CASE				    =		beam.options.pipeline_options.PipelineOptions(
           flags=[f'''--{opt.strip()}''' for opt in self._beam_pipeline_options.split(',') if opt])
      else:
       SCREAMING_SNAKE_CASE				    =		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=lowerCAmelCase__  ,  cache_dir=self._cache_dir  ,  base_path=dataset_module.builder_kwargs.get('base_path')  ,  ))
      else:
       builders.append(
           builder_cls(
               config_name=lowerCAmelCase__  ,  data_dir=self._data_dir  ,  beam_options=lowerCAmelCase__  ,  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=lowerCAmelCase__  ,  )
       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:
       SCREAMING_SNAKE_CASE				    =		os.path.join(builder_cls.get_imported_module_dir()  ,  config.DATASETDICT_INFOS_FILENAME)

       SCREAMING_SNAKE_CASE				    =		Path(lowerCAmelCase__).name + '.py'

       SCREAMING_SNAKE_CASE				    =		os.path.join(lowerCAmelCase__  ,  lowerCAmelCase__)
       if os.path.isfile(lowerCAmelCase__):
        SCREAMING_SNAKE_CASE				    =		os.path.dirname(lowerCAmelCase__)
       elif os.path.isfile(lowerCAmelCase__):
        SCREAMING_SNAKE_CASE				    =		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
       SCREAMING_SNAKE_CASE				    =		os.path.join(lowerCAmelCase__  ,  config.DATASETDICT_INFOS_FILENAME)
       copyfile(lowerCAmelCase__  ,  lowerCAmelCase__)
       print(f'''Dataset Infos file saved at {user_dataset_infos_path}''')












# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__UpperCAmelCase      =				abspath(join(dirname(dirname(dirname(__file__))), "src"))
sys.path.insert(1, git_repo_path)


# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="ignore", category=FutureWarning)





def 						A_					(						lowercase_			)				->str:







 """simple docstring"""

 from transformers.testing_utils import pytest_addoption_shared

 pytest_addoption_shared(lowercase_			)





def 						A_					(						lowercase_			)				->Tuple:







 """simple docstring"""

 from transformers.testing_utils import pytest_terminal_summary_main

 SCREAMING_SNAKE_CASE				    =		terminalreporter.config.getoption('--make-reports'			)
 if make_reports:
  pytest_terminal_summary_main(lowercase_	,  id=lowercase_			)




