





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 		_SCREAMING_SNAKE_CASE    (   lowerCAmelCase__       ,**lowerCAmelCase__	):
  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 	UpperCamelCase_     (     snake_case__       ):



     @staticmethod
     def      __a    (		lowerCamelCase    :    ArgumentParser	):
       lowerCamelCase_  :    Tuple   	=			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    :    Optional[Any]					,			lowerCamelCase    :    str					,			lowerCamelCase    :    str					,			lowerCamelCase    :    str					,			lowerCamelCase    :    str					,			lowerCamelCase    :    str					,			lowerCamelCase    :    bool					,			lowerCamelCase    :    bool					,			lowerCamelCase    :    bool					,			lowerCamelCase    :    bool					,			**lowerCamelCase    :    Any					,			):
       lowerCamelCase_  :    int   	=			dataset
       lowerCamelCase_  :    List[Any]   	=			name
       lowerCamelCase_  :    List[Any]   	=			cache_dir
       lowerCamelCase_  :    str   	=			beam_pipeline_options
       lowerCamelCase_  :    Any   	=			data_dir
       lowerCamelCase_  :    int   	=			all_configs
       lowerCamelCase_  :    int   	=			save_infos
       lowerCamelCase_  :    Optional[int]   	=			ignore_verifications
       lowerCamelCase_  :    List[Any]   	=			force_redownload
       lowerCamelCase_  :    Optional[Any]   	=			config_kwargs





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

         lowerCamelCase_  :    str   	=			Path(lowerCamelCase	).name + '.py'

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







class 	UpperCamelCase_     :



					def __init__(		self    :    List[Any]					,			lowerCamelCase    :    int	):
							lowerCamelCase_  :    Union[str, Any]   	=			val
							# Number of nodes in left subtree
							lowerCamelCase_  :    Dict   	=			0
							lowerCamelCase_  :    str   	=			None
							lowerCamelCase_  :    int   	=			None
							lowerCamelCase_  :    Dict   	=			None





					def      __a    (		self    :    Optional[int]					,			lowerCamelCase    :    List[Any]	):
							assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

							if self.val < other.val:
									lowerCamelCase_  :    int   	=			self.right
									lowerCamelCase_  :    Any   	=			None
									if self.right:
											lowerCamelCase_  :    Optional[Any]   	=			other
									lowerCamelCase_  :    Union[str, Any]   	=			other
									lowerCamelCase_  :    List[Any]   	=			self.left_tree_size * 2 + 1
									return self
							else:
									lowerCamelCase_  :    str   	=			other.right
									lowerCamelCase_  :    List[Any]   	=			None
									if other.right:
											lowerCamelCase_  :    Union[str, Any]   	=			self
									lowerCamelCase_  :    Optional[int]   	=			self
									lowerCamelCase_  :    Optional[int]   	=			other.left_tree_size * 2 + 1
									return other






class 	UpperCamelCase_     :



					def __init__(		self    :    List[str]					,			lowerCamelCase    :    Optional[int]=None					,			lowerCamelCase    :    str=None					,			lowerCamelCase    :    List[Any]=0	):
							lowerCamelCase_  :    Any   	=			heap_size
							lowerCamelCase_  :    int   	=			bottom_root
							lowerCamelCase_  :    Any   	=			min_node



					def      __a    (		self    :    int					,			lowerCamelCase    :    int	):

							# Empty heaps corner cases
							if other.size == 0:
									return None
							if self.size == 0:
									lowerCamelCase_  :    List[str]   	=			other.size
									lowerCamelCase_  :    Tuple   	=			other.bottom_root
									lowerCamelCase_  :    Tuple   	=			other.min_node
									return None
							# Update size
							lowerCamelCase_  :    Optional[Any]   	=			self.size + other.size

							# Update min.node
							if self.min_node.val > other.min_node.val:
									lowerCamelCase_  :    Optional[Any]   	=			other.min_node
							# Merge

							# Order roots by left_subtree_size
							lowerCamelCase_  :    Dict   	=			[]
							lowerCamelCase_	,			lowerCamelCase_  :    Optional[Any]   	=			self.bottom_root, other.bottom_root
							while i or j:
									if i and ((not j) or i.left_tree_size < j.left_tree_size):
											combined_roots_list.append((i, True)	)
											lowerCamelCase_  :    Tuple   	=			i.parent
									else:
											combined_roots_list.append((j, False)	)
											lowerCamelCase_  :    Optional[Any]   	=			j.parent
        # Insert links between them
							for i in range(len(lowerCamelCase	) - 1	):
									if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
											lowerCamelCase_  :    Dict   	=			combined_roots_list[i + 1][0]
											lowerCamelCase_  :    Optional[int]   	=			combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
							lowerCamelCase_  :    Any   	=			combined_roots_list[0][0]
							while i.parent:
									if (
									    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
									) or (
									    i.left_tree_size == i.parent.left_tree_size
									    and i.left_tree_size != i.parent.parent.left_tree_size
									):
											# Neighbouring Nodes
											lowerCamelCase_  :    Dict   	=			i.left
											lowerCamelCase_  :    int   	=			i.parent.parent

											# Merging trees
											lowerCamelCase_  :    str   	=			i.merge_trees(i.parent	)

											# Updating links
											lowerCamelCase_  :    Union[str, Any]   	=			previous_node
											lowerCamelCase_  :    List[Any]   	=			next_node
											if previous_node:
													lowerCamelCase_  :    List[str]   	=			i
											if next_node:
													lowerCamelCase_  :    Dict   	=			i
									else:
											lowerCamelCase_  :    List[str]   	=			i.parent
        # Updating self.bottom_root
							while i.left:
									lowerCamelCase_  :    Union[str, Any]   	=			i.left
							lowerCamelCase_  :    Any   	=			i

							# Update other
							lowerCamelCase_  :    Optional[int]   	=			self.size
							lowerCamelCase_  :    Optional[Any]   	=			self.bottom_root
							lowerCamelCase_  :    str   	=			self.min_node

							# Return the merged heap
							return self



					def      __a    (		self    :    Any					,			lowerCamelCase    :    Dict	):
							if self.size == 0:
									lowerCamelCase_  :    Tuple   	=			Node(lowerCamelCase	)
									lowerCamelCase_  :    Optional[int]   	=			1
									lowerCamelCase_  :    Optional[int]   	=			self.bottom_root
							else:
									# Create new node
									lowerCamelCase_  :    List[Any]   	=			Node(lowerCamelCase	)

									# Update size
									self.size += 1

									# update min_node
									if val < self.min_node.val:
											lowerCamelCase_  :    List[str]   	=			new_node
									# Put new_node as a bottom_root in heap
									lowerCamelCase_  :    int   	=			new_node
									lowerCamelCase_  :    Tuple   	=			self.bottom_root
									lowerCamelCase_  :    Any   	=			new_node

									# Consecutively merge roots with same left_tree_size
									while (
									    self.bottom_root.parent
									    and self.bottom_root.left_tree_size
									    == self.bottom_root.parent.left_tree_size
									):
											# Next node
											lowerCamelCase_  :    Any   	=			self.bottom_root.parent.parent

											# Merge
											lowerCamelCase_  :    int   	=			self.bottom_root.merge_trees(self.bottom_root.parent	)

											# Update Links
											lowerCamelCase_  :    Dict   	=			next_node
											lowerCamelCase_  :    Optional[Any]   	=			None
											if next_node:
													lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root



					def      __a    (		self    :    Dict	):
							return self.min_node.val



					def      __a    (		self    :    int	):
							return self.size == 0



					def      __a    (		self    :    List[Any]	):
							lowerCamelCase_  :    Tuple   	=			self.min_node.val

							# Last element in heap corner case
							if self.size == 1:
									# Update size
									lowerCamelCase_  :    Optional[Any]   	=			0

									# Update bottom root
									lowerCamelCase_  :    Any   	=			None

									# Update min_node
									lowerCamelCase_  :    List[str]   	=			None

									return min_value
							# No right subtree corner case
							# The structure of the tree implies that this should be the bottom root
							# and there is at least one other root
							if self.min_node.right is None:
									# Update size
									self.size -= 1

									# Update bottom root
									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.parent
									lowerCamelCase_  :    Union[str, Any]   	=			None

									# Update min_node
									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root
									lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.parent
									while i:
											if i.val < self.min_node.val:
													lowerCamelCase_  :    Union[str, Any]   	=			i
											lowerCamelCase_  :    Optional[int]   	=			i.parent
									return min_value
							# General case
							# Find the BinomialHeap of the right subtree of min_node
							lowerCamelCase_  :    Dict   	=			self.min_node.right
							lowerCamelCase_  :    Dict   	=			None
							lowerCamelCase_  :    Tuple   	=			bottom_of_new
							lowerCamelCase_  :    Dict   	=			1

							# Size, min_node and bottom_root
							while bottom_of_new.left:
									lowerCamelCase_  :    Any   	=			size_of_new * 2 + 1
									lowerCamelCase_  :    Tuple   	=			bottom_of_new.left
									if bottom_of_new.val < min_of_new.val:
											lowerCamelCase_  :    int   	=			bottom_of_new
        # Corner case of single root on top left path
							if (not self.min_node.left) and (not self.min_node.parent):
									lowerCamelCase_  :    Union[str, Any]   	=			size_of_new
									lowerCamelCase_  :    Union[str, Any]   	=			bottom_of_new
									lowerCamelCase_  :    Tuple   	=			min_of_new
									# print("Single root, multiple nodes case")
									return min_value
							# Remaining cases
							# Construct heap of right subtree
							lowerCamelCase_  :    Optional[Any]   	=			BinomialHeap(
							    bottom_root=lowerCamelCase					,			min_node=lowerCamelCase					,			heap_size=lowerCamelCase	)

							# Update size
							lowerCamelCase_  :    Union[str, Any]   	=			self.size - 1 - size_of_new

							# Neighbour nodes
							lowerCamelCase_  :    Union[str, Any]   	=			self.min_node.left
							lowerCamelCase_  :    Optional[Any]   	=			self.min_node.parent

							# Initialize new bottom_root and min_node
							lowerCamelCase_  :    Optional[int]   	=			previous_node or next_node
							lowerCamelCase_  :    Tuple   	=			next_node

							# Update links of previous_node and search below for new min_node and
							# bottom_root
							if previous_node:
									lowerCamelCase_  :    Dict   	=			next_node

									# Update bottom_root and search for min_node below
									lowerCamelCase_  :    int   	=			previous_node
									lowerCamelCase_  :    Tuple   	=			previous_node
									while self.bottom_root.left:
											lowerCamelCase_  :    Union[str, Any]   	=			self.bottom_root.left
											if self.bottom_root.val < self.min_node.val:
													lowerCamelCase_  :    Any   	=			self.bottom_root
							if next_node:
									lowerCamelCase_  :    Any   	=			previous_node

									# Search for new min_node above min_node
									lowerCamelCase_  :    List[str]   	=			next_node
									while i:
											if i.val < self.min_node.val:
													lowerCamelCase_  :    List[Any]   	=			i
											lowerCamelCase_  :    Dict   	=			i.parent
        # Merge heaps
							self.merge_heaps(lowerCamelCase	)

							return min_value



					def      __a    (		self    :    Optional[int]	):
							lowerCamelCase_  :    List[Any]   	=			self.bottom_root
							while top_root.parent:
									lowerCamelCase_  :    Tuple   	=			top_root.parent
							# preorder
							lowerCamelCase_  :    str   	=			[]
							self.__traversal(lowerCamelCase					,			lowerCamelCase	)
							return heap_pre_order



					def      __a    (		self    :    Dict					,			lowerCamelCase    :    Tuple					,			lowerCamelCase    :    Dict					,			lowerCamelCase    :    List[str]=0	):
							if curr_node:
									preorder.append((curr_node.val, level)	)
									self.__traversal(curr_node.left					,			lowerCamelCase					,			level + 1	)
									self.__traversal(curr_node.right					,			lowerCamelCase					,			level + 1	)
							else:
									preorder.append(('#', level)	)





					def __str__(		self    :    List[Any]	):
							if self.is_empty():
									return ""
							lowerCamelCase_  :    str   	=			self.pre_order()

							return "\n".join(('-' * level + str(lowerCamelCase	)) for value, level in preorder_heap	)


# Unit Tests
if __name__ == "__main__":
		import doctest

		doctest.testmod()
