


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 		snake_case_   (				lowercase__     :    List[Any]       ,     **lowercase__     :    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        __lowerCamelCase      (				lowerCamelCase_ ):


				"""simple docstring"""







				@staticmethod
				def        lowerCAmelCase__			(				lowerCamelCase_     :    ArgumentParser					):
								_lowerCAmelCase  						=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     :    List[str]	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    str	,							lowerCamelCase_     :    bool	,							lowerCamelCase_     :    bool	,							lowerCamelCase_     :    bool	,							lowerCamelCase_     :    bool	,							**lowerCamelCase_     :    Union[str, 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        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					)
								_lowerCAmelCase						,							_lowerCAmelCase  						=self._dataset, self._name
								_lowerCAmelCase  						=dataset_module_factory(lowerCamelCase_					)
								_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=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:
												_lowerCAmelCase  						=os.path.join(builder_cls.get_imported_module_dir()	,							config.DATASETDICT_INFOS_FILENAME					)

												_lowerCAmelCase  						=Path(lowerCamelCase_					).name + """.py"""

												_lowerCAmelCase  						=os.path.join(lowerCamelCase_	,							lowerCamelCase_					)
												if os.path.isfile(lowerCamelCase_					):
																_lowerCAmelCase  						=os.path.dirname(lowerCamelCase_					)
												elif os.path.isfile(lowerCamelCase_					):
																_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(lowerCamelCase_	,							config.DATASETDICT_INFOS_FILENAME					)
												copyfile(lowerCamelCase_	,							lowerCamelCase_					)
												print(F"Dataset Infos file saved at {user_dataset_infos_path}"					)





from __future__ import annotations

__SCREAMING_SNAKE_CASE	:							Union[str, Any]           =  [2, 1, 4, 5, 6, 0, 8, 9, 1, 2, 0, 6, 4, 2, 0, 6, 5, 3, 2, 7]


class        __lowerCamelCase      :


				"""simple docstring"""







				def __init__(				self     :    Dict	,							lowerCamelCase_     :    int					):
								_lowerCAmelCase  						=-1
								_lowerCAmelCase  						=-1
								_lowerCAmelCase  						=[-1] * length
								_lowerCAmelCase  						=None
								_lowerCAmelCase  						=None






				def __repr__(				self     :    Tuple					):
								return F"Node(min_value={self.minn} max_value={self.maxx})"

def 		snake_case_   (				lowercase__     :    list[int]     ):






				'''simple docstring'''






				_lowerCAmelCase  						=Node(len(lowercase__     )     )
				_lowerCAmelCase						,							_lowerCAmelCase  						=min(lowercase__     ), max(lowercase__     )
				# Leaf node case where the node contains only one unique value
				if root.minn == root.maxx:
								return root
				_lowerCAmelCase  						=(root.minn + root.maxx) // 2

				_lowerCAmelCase  						=[]
				_lowerCAmelCase  						=[]

				for index, num in enumerate(lowercase__     ):
								if num <= pivot:
												left_arr.append(lowercase__     )
								else:
												right_arr.append(lowercase__     )
								_lowerCAmelCase  						=len(lowercase__     )
				_lowerCAmelCase  						=build_tree(lowercase__     )
				_lowerCAmelCase  						=build_tree(lowercase__     )
				return root

def 		snake_case_   (				lowercase__     :    Node | None       ,     lowercase__     :    int       ,     lowercase__     :    int     ):






				'''simple docstring'''






				if index < 0 or node is None:
								return 0
				# Leaf node cases
				if node.minn == node.maxx:
								return index + 1 if node.minn == num else 0
				_lowerCAmelCase  						=(node.minn + node.maxx) // 2
				if num <= pivot:
								# go the left subtree and map index to the left subtree
								return rank_till_index(node.left       ,     lowercase__       ,     node.map_left[index] - 1     )
				else:
								# go to the right subtree and map index to the right subtree
								return rank_till_index(node.right       ,     lowercase__       ,     index - node.map_left[index]     )

def 		snake_case_   (				lowercase__     :    Node | None       ,     lowercase__     :    int       ,     lowercase__     :    int       ,     lowercase__     :    int     ):






				'''simple docstring'''






				if start > end:
								return 0
				_lowerCAmelCase  						=rank_till_index(lowercase__       ,     lowercase__       ,     lowercase__     )
				_lowerCAmelCase  						=rank_till_index(lowercase__       ,     lowercase__       ,     start - 1     )
				return rank_till_end - rank_before_start

def 		snake_case_   (				lowercase__     :    Node | None       ,     lowercase__     :    int       ,     lowercase__     :    int       ,     lowercase__     :    int     ):






				'''simple docstring'''






				if index > (end - start) or start > end or node is None:
								return -1
				# Leaf node case
				if node.minn == node.maxx:
								return node.minn
				# Number of elements in the left subtree in interval [start, end]
				_lowerCAmelCase  						=node.map_left[end] - (
				    node.map_left[start - 1] if start else 0
				)
				if num_elements_in_left_tree > index:
								return quantile(
								    node.left       ,     lowercase__       ,     (node.map_left[start - 1] if start else 0)       ,     node.map_left[end] - 1       ,     )
				else:
								return quantile(
								    node.right       ,     index - num_elements_in_left_tree       ,     start - (node.map_left[start - 1] if start else 0)       ,     end - node.map_left[end]       ,     )

def 		snake_case_   (				lowercase__     :    Node | None       ,     lowercase__     :    int       ,     lowercase__     :    int       ,     lowercase__     :    int       ,     lowercase__     :    int     ):






				'''simple docstring'''






				if (
				    start > end
				    or node is None
				    or start_num > end_num
				    or node.minn > end_num
				    or node.maxx < start_num
				):
								return 0
				if start_num <= node.minn and node.maxx <= end_num:
								return end - start + 1
				_lowerCAmelCase  						=range_counting(
				    node.left       ,     (node.map_left[start - 1] if start else 0)       ,     node.map_left[end] - 1       ,     lowercase__       ,     lowercase__       ,     )
				_lowerCAmelCase  						=range_counting(
				    node.right       ,     start - (node.map_left[start - 1] if start else 0)       ,     end - node.map_left[end]       ,     lowercase__       ,     lowercase__       ,     )
				return left + right


if __name__ == "__main__":
		import doctest

		doctest.testmod()

