



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(						__UpperCamelCase							:	Any  ,**__UpperCamelCase							:	Optional[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  ,**__UpperCamelCase  ,)





class        __snake_case		(  UpperCamelCase_		):




							@staticmethod
							def      UpperCAmelCase__    ( A_  : ArgumentParser):
									lowerCAmelCase_    :  Optional[Any]             =				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  : Optional[Any]       ,       A_  : str       ,       A_  : str       ,       A_  : str       ,       A_  : str       ,       A_  : str       ,       A_  : bool       ,       A_  : bool       ,       A_  : bool       ,       A_  : bool       ,       **A_  : Tuple       ,       ):
									lowerCAmelCase_    :  List[str]             =				dataset
									lowerCAmelCase_    :  Tuple             =				name
									lowerCAmelCase_    :  Dict             =				cache_dir
									lowerCAmelCase_    :  Optional[Any]             =				beam_pipeline_options
									lowerCAmelCase_    :  Tuple             =				data_dir
									lowerCAmelCase_    :  Optional[int]             =				all_configs
									lowerCAmelCase_    :  Tuple             =				save_infos
									lowerCAmelCase_    :  Union[str, Any]             =				ignore_verifications
									lowerCAmelCase_    :  int             =				force_redownload
									lowerCAmelCase_    :  int             =				config_kwargs







							def      UpperCAmelCase__    ( self  : str):
									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_    :  Dict             =				self._dataset, self._name
									lowerCAmelCase_    :  Dict             =				dataset_module_factory(A_)
									lowerCAmelCase_    :  Optional[int]             =				import_main_class(dataset_module.module_path)
									lowerCAmelCase_    :  List[DatasetBuilder]             =				[]
									if self._beam_pipeline_options:
											lowerCAmelCase_    :  Any             =				beam.options.pipeline_options.PipelineOptions(
											    flags=[F"""--{opt.strip()}""" for opt in self._beam_pipeline_options.split(''',''') if opt])
									else:
											lowerCAmelCase_    :  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:
											lowerCAmelCase_    :  Optional[int]             =				os.path.join(builder_cls.get_imported_module_dir()       ,       config.DATASETDICT_INFOS_FILENAME)

											lowerCAmelCase_    :  Dict             =				Path(A_).name + '''.py'''

											lowerCAmelCase_    :  List[str]             =				os.path.join(A_       ,       A_)
											if os.path.isfile(A_):
													lowerCAmelCase_    :  Dict             =				os.path.dirname(A_)
											elif os.path.isfile(A_):
													lowerCAmelCase_    :  Dict             =				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_    :  Any             =				os.path.join(A_       ,       config.DATASETDICT_INFOS_FILENAME)
											copyfile(A_       ,       A_)
											print(F"""Dataset Infos file saved at {user_dataset_infos_path}""")










from __future__ import annotations

from typing import Generic, TypeVar

A__						:						Dict          =      TypeVar('''T''')



class        __snake_case		(  Generic[T]		):




							def __init__( self  : List[Any]       ,       A_  : T):
									lowerCAmelCase_    :  Optional[Any]             =				data  # Assign data
									lowerCAmelCase_    :  Node[T] | None             =				None  # Initialize next as null
									lowerCAmelCase_    :  Node[T] | None             =				None  # Initialize prev as null





class        __snake_case		(  Generic[T]		):




							def __init__( self  : Union[str, Any]):
									lowerCAmelCase_    :  Node[T] | None             =				None




							def      UpperCAmelCase__    ( self  : List[str]       ,       A_  : T):
									if self.head is None:
											lowerCAmelCase_    :  List[Any]             =				Node(A_)
									else:
											lowerCAmelCase_    :  Tuple             =				Node(A_)
											lowerCAmelCase_    :  Optional[int]             =				new_node
											lowerCAmelCase_    :  Optional[int]             =				self.head
											lowerCAmelCase_    :  Optional[Any]             =				None
											lowerCAmelCase_    :  Dict             =				new_node




							def      UpperCAmelCase__    ( self  : List[str]):
									if self.head is None:
											return None
									else:
											assert self.head is not None
											lowerCAmelCase_    :  Tuple             =				self.head.data
											lowerCAmelCase_    :  Any             =				self.head.next
											if self.head is not None:
													lowerCAmelCase_    :  Optional[Any]             =				None
											return temp




							def      UpperCAmelCase__    ( self  : Union[str, Any]):
									return self.head.data if self.head is not None else None




							def __len__( self  : Dict):
									lowerCAmelCase_    :  List[str]             =				self.head
									lowerCAmelCase_    :  str             =				0
									while temp is not None:
											count += 1
											lowerCAmelCase_    :  Union[str, Any]             =				temp.next
									return count




							def      UpperCAmelCase__    ( self  : Dict):
									return self.head is None







							def      UpperCAmelCase__    ( self  : Dict):
									print('''stack elements are:''')
									lowerCAmelCase_    :  Optional[Any]             =				self.head
									while temp is not None:
											print(temp.data       ,       end='''->''')
											lowerCAmelCase_    :  List[str]             =				temp.next


# Code execution starts here
if __name__ == "__main__":
						# Start with the empty stack
						A__						:						Stack[int]          =      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())





