



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						(				_UpperCAmelCase							: Optional[Any]			,       **_UpperCAmelCase							: Dict						):







		'''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			,       **_UpperCAmelCase			,       )

class 		UpperCAmelCase__      (      __UpperCamelCase       ):




			'''simple docstring'''






			@staticmethod
			def 			snake_case__					(       a_							:			ArgumentParser			):
					'''simple docstring'''





					__UpperCAmelCase   :					Dict													=     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							:			List[str]	,	a_							:			str	,	a_							:			str	,	a_							:			str	,	a_							:			str	,	a_							:			str	,	a_							:			bool	,	a_							:			bool	,	a_							:			bool	,	a_							:			bool	,	**a_							:			Optional[Any]	,	):
					'''simple docstring'''





					__UpperCAmelCase   :					Any													=     dataset
					__UpperCAmelCase   :					str													=     name
					__UpperCAmelCase   :					Union[str, Any]													=     cache_dir
					__UpperCAmelCase   :					Optional[int]													=     beam_pipeline_options
					__UpperCAmelCase   :					Optional[int]													=     data_dir
					__UpperCAmelCase   :					List[Any]													=     all_configs
					__UpperCAmelCase   :					Optional[int]													=     save_infos
					__UpperCAmelCase   :					Optional[Any]													=     ignore_verifications
					__UpperCAmelCase   :					Optional[Any]													=     force_redownload
					__UpperCAmelCase   :					Union[str, Any]													=     config_kwargs




			def 			snake_case__					(       self							:			List[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			)
					__UpperCAmelCase							, __UpperCAmelCase   :					Optional[int]													=     self._dataset, self._name
					__UpperCAmelCase   :					Optional[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   :					Optional[int]													=     beam.options.pipeline_options.PipelineOptions(
							    flags=[F'--{opt.strip()}' for opt in self._beam_pipeline_options.split(''','''			) if opt]			)
					else:
							__UpperCAmelCase   :					Optional[int]													=     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   :					Optional[int]													=     os.path.join(builder_cls.get_imported_module_dir()	,	config.DATASETDICT_INFOS_FILENAME			)

							__UpperCAmelCase   :					List[Any]													=     Path(a_			).name + '''.py'''

							__UpperCAmelCase   :					int													=     os.path.join(a_	,	a_			)
							if os.path.isfile(a_			):
									__UpperCAmelCase   :					Union[str, Any]													=     os.path.dirname(a_			)
							elif os.path.isfile(a_			):
									__UpperCAmelCase   :					Optional[int]													=     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   :					Tuple													=     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

import random
from collections.abc import Iterable
from typing import Any, Generic, TypeVar

__A             =TypeVar("T", bound=bool)

class 		UpperCAmelCase__      (      Generic[T]       ):




			'''simple docstring'''






			def __init__(       self							:			List[Any]	,	a_							:			T			):
					'''simple docstring'''





					__UpperCAmelCase   :					T													=     value
					__UpperCAmelCase   :					RandomizedHeapNode[T] | None													=     None
					__UpperCAmelCase   :					RandomizedHeapNode[T] | None													=     None




			@property
			def 			snake_case__					(       self							:			Any			):
					'''simple docstring'''





					return self._value




			@staticmethod
			def 			snake_case__					(       a_							:			RandomizedHeapNode[T] | None	,	a_							:			RandomizedHeapNode[T] | None			):
					'''simple docstring'''





					if not roota:
							return roota

					if not roota:
							return roota

					if roota.value > roota.value:
							__UpperCAmelCase							, __UpperCAmelCase   :					int													=     roota, roota

					if random.choice([True, False]			):
							__UpperCAmelCase							, __UpperCAmelCase   :					Union[str, Any]													=     roota.right, roota.left

					__UpperCAmelCase   :					Optional[Any]													=     RandomizedHeapNode.merge(roota.left	,	a_			)

					return roota

class 		UpperCAmelCase__      (      Generic[T]       ):




			'''simple docstring'''






			def __init__(       self							:			Tuple	,	a_							:			Iterable[T] | None = ()			):
					'''simple docstring'''





					__UpperCAmelCase   :					RandomizedHeapNode[T] | None													=     None

					if data:
							for item in data:
									self.insert(a_			)




			def 			snake_case__					(       self							:			List[str]	,	a_							:			T			):
					'''simple docstring'''





					__UpperCAmelCase   :					Optional[Any]													=     RandomizedHeapNode.merge(self._root	,	RandomizedHeapNode(a_			)			)




			def 			snake_case__					(       self							:			Optional[int]			):
					'''simple docstring'''





					__UpperCAmelCase   :					Optional[Any]													=     self.top()

					if self._root is None:
							return None

					__UpperCAmelCase   :					Tuple													=     RandomizedHeapNode.merge(self._root.left	,	self._root.right			)

					return result




			def 			snake_case__					(       self							:			Any			):
					'''simple docstring'''





					if not self._root:
							raise IndexError('''Can\'t get top element for the empty heap.'''			)
					return self._root.value




			def 			snake_case__					(       self							:			Optional[Any]			):
					'''simple docstring'''





					__UpperCAmelCase   :					str													=     None




			def 			snake_case__					(       self							:			Tuple			):
					'''simple docstring'''





					__UpperCAmelCase   :					List[Any]													=     []
					while self:
							result.append(self.pop()			)

					return result




			def __bool__(       self							:			List[Any]			):
					'''simple docstring'''





					return self._root is not None


if __name__ == "__main__":
				import doctest

				doctest.testmod()





