




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   (						lowerCAmelCase_     :					Optional[Any]   ,				**lowerCAmelCase_     :					int			):
     """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   ,				**lowerCAmelCase_   ,				)






class  __lowerCamelCase       (    UpperCamelCase__    ):




    """simple docstring"""

    @staticmethod
    def    a      (       SCREAMING_SNAKE_CASE__     :     ArgumentParser   )      ->       str:
         lowerCAmelCase__		= parser.add_parser("run_beam"   ,	help="Run a Beam dataset processing pipeline"   )
         run_beam_parser.add_argument("dataset"   ,	type=SCREAMING_SNAKE_CASE__   ,	help="Name of the dataset to download"   )
         run_beam_parser.add_argument("--name"   ,	type=SCREAMING_SNAKE_CASE__   ,	default=SCREAMING_SNAKE_CASE__   ,	help="Dataset config name"   )
         run_beam_parser.add_argument(
             "--cache_dir"   ,	type=SCREAMING_SNAKE_CASE__   ,	default=SCREAMING_SNAKE_CASE__   ,	help="Cache directory where the datasets are stored"   ,	)
         run_beam_parser.add_argument(
             "--beam_pipeline_options"   ,	type=SCREAMING_SNAKE_CASE__   ,	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=SCREAMING_SNAKE_CASE__   ,	default=SCREAMING_SNAKE_CASE__   ,	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=SCREAMING_SNAKE_CASE__   )


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


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

              lowerCAmelCase__		= Path(SCREAMING_SNAKE_CASE__   ).name + ".py"

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






from __future__ import annotations

from typing import Generic, TypeVar

UpperCamelCase								=     TypeVar('T')





class  __lowerCamelCase       (    Generic[T]    ):




    """simple docstring"""

    def __init__(       self     :     List[str]   ,	SCREAMING_SNAKE_CASE__     :     T   )      ->       List[Any]:
         lowerCAmelCase__		= data  # Assign data
         lowerCAmelCase__		= None  # Initialize next as null
         lowerCAmelCase__		= None  # Initialize prev as null






class  __lowerCamelCase       (    Generic[T]    ):




    """simple docstring"""

    def __init__(       self     :     Any   )      ->       None:
         lowerCAmelCase__		= None


    def    a      (       self     :     Tuple   ,	SCREAMING_SNAKE_CASE__     :     T   )      ->       None:
         if self.head is None:
              lowerCAmelCase__		= Node(SCREAMING_SNAKE_CASE__   )
         else:
              lowerCAmelCase__		= Node(SCREAMING_SNAKE_CASE__   )
              lowerCAmelCase__		= new_node
              lowerCAmelCase__		= self.head
              lowerCAmelCase__		= None
              lowerCAmelCase__		= new_node


    def    a      (       self     :     int   )      ->       T | None:
         if self.head is None:
              return None
         else:
              assert self.head is not None
              lowerCAmelCase__		= self.head.data
              lowerCAmelCase__		= self.head.next
              if self.head is not None:
                   lowerCAmelCase__		= None
              return temp


    def    a      (       self     :     int   )      ->       T | None:
         return self.head.data if self.head is not None else None


    def __len__(       self     :     List[str]   )      ->       int:
         lowerCAmelCase__		= self.head
         lowerCAmelCase__		= 0
         while temp is not None:
              count += 1
              lowerCAmelCase__		= temp.next
         return count


    def    a      (       self     :     Tuple   )      ->       bool:
         return self.head is None


    def    a      (       self     :     Dict   )      ->       None:
         print("stack elements are:"   )
         lowerCAmelCase__		= self.head
         while temp is not None:
              print(temp.data   ,	end="->"   )
              lowerCAmelCase__		= temp.next


# Code execution starts here
if __name__ == "__main__":
     # Start with the empty stack
     UpperCamelCase								=     Stack()

     # Insert 4 at the beginning. So stack becomes 4->None
     print('Stack operations using Doubly LinkedList')
     stack.push(4)

     # Insert 5 at the beginning. So stack becomes 4->5->None
     stack.push(5)

     # Insert 6 at the beginning. So stack becomes 4->5->6->None
     stack.push(6)

     # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
     stack.push(7)

     # Print the stack
     stack.print_stack()

     # Print the top element
     print('\nTop element is ', stack.top())

     # Print the stack size
     print('Size of the stack is ', len(stack))

     # pop the top element
     stack.pop()

     # pop the top element
     stack.pop()

     # two elements have now been popped off
     stack.print_stack()

     # Print True if the stack is empty else False
     print('\nstack is empty:', stack.is_empty())
