

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(					lowercase_			,					**lowercase_							)	->				List[Any]:





  '''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  __lowerCamelCase				(	__snake_case	):







      @staticmethod
      def 	lowerCAmelCase_    (     lowerCamelCase   )						->       Tuple:
        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							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  lowerCamelCase							,  **lowerCamelCase							,  )						->       Optional[Any]:
        snake_case_       						=      dataset
        snake_case_       						=      name
        snake_case_       						=      cache_dir
        snake_case_       						=      beam_pipeline_options
        snake_case_       						=      data_dir
        snake_case_       						=      all_configs
        snake_case_       						=      save_infos
        snake_case_       						=      ignore_verifications
        snake_case_       						=      force_redownload
        snake_case_       						=      config_kwargs







      def 	lowerCAmelCase_    (     self   )						->       Dict:
        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   )
        snake_case_						,				snake_case_       						=      self._dataset, self._name
        snake_case_       						=      dataset_module_factory(lowerCamelCase   )
        snake_case_       						=      import_main_class(dataset_module.module_path   )
        snake_case_       						=      []
        if self._beam_pipeline_options:
          snake_case_       						=      beam.options.pipeline_options.PipelineOptions(
              flags=[f'''--{opt.strip()}''' for opt in self._beam_pipeline_options.split(""","""   ) if opt]   )
        else:
          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:
          snake_case_       						=      os.path.join(builder_cls.get_imported_module_dir()							,  config.DATASETDICT_INFOS_FILENAME   )

          snake_case_       						=      Path(lowerCamelCase   ).name + """.py"""

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


class 		__magic_name__ :






     def __init__(							self     )->			int:
         UpperCamelCase_          =		[0]
         UpperCamelCase_          =		0






     def      UpperCAmelCase_							(							self						,		_lowercase     )->			None:
         UpperCamelCase_          =		self.__heap[i]
         while i // 2 > 0:
             if self.__heap[i] > self.__heap[i // 2]:
                 UpperCamelCase_          =		self.__heap[i // 2]
                 UpperCamelCase_          =		temporary
             i //= 2






     def      UpperCAmelCase_							(							self						,		_lowercase     )->			None:
         self.__heap.append(_lowercase     )
         self.__size += 1
         self.__swap_up(self.__size     )






     def      UpperCAmelCase_							(							self						,		_lowercase     )->			None:
         while self.__size >= 2 * i:
             if 2 * i + 1 > self.__size:
                 UpperCamelCase_          =		2 * i
             else:
                 if self.__heap[2 * i] > self.__heap[2 * i + 1]:
                     UpperCamelCase_          =		2 * i
                 else:
                     UpperCamelCase_          =		2 * i + 1
             UpperCamelCase_          =		self.__heap[i]
             if self.__heap[i] < self.__heap[bigger_child]:
                 UpperCamelCase_          =		self.__heap[bigger_child]
                 UpperCamelCase_          =		temporary
             UpperCamelCase_          =		bigger_child






     def      UpperCAmelCase_							(							self     )->			int:
         UpperCamelCase_          =		self.__heap[1]
         UpperCamelCase_          =		self.__heap[self.__size]
         self.__size -= 1
         self.__heap.pop()
         self.__swap_down(1     )
         return max_value






     @property
     def      UpperCAmelCase_							(							self     )->			List[Any]:
         return self.__heap[1:]






     def __len__(							self     )->			List[str]:
         return self.__size


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 # create an instance of BinaryHeap
 SCREAMING_SNAKE_CASE						:Optional[int]      =			BinaryHeap()
 binary_heap.insert(6)
 binary_heap.insert(10)
 binary_heap.insert(15)
 binary_heap.insert(12)
 # pop root(max-values because it is max heap)
 print(binary_heap.pop())  # 15
 print(binary_heap.pop())  # 12
 # get the list and size after operations
 print(binary_heap.get_list)
 print(len(binary_heap))
