'''simple docstring'''

import math
import sys




class    lowerCamelCase__  :



   def __init__(    self     )				->     List[Any]:
        """simple docstring"""





        _UpperCamelCase  :Optional[int]       =0
        _UpperCamelCase  :List[str]       =[]
        _UpperCamelCase  :Optional[int]       ={}  # To store the pos of node in array



   def  _UpperCamelCase		(    self     )				->     Optional[int]:
        """simple docstring"""





        return self.cur_size == 0



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Any:
        """simple docstring"""





        _UpperCamelCase  :List[str]       =self.left(lowerCamelCase__     )
        _UpperCamelCase  :Optional[Any]       =self.right(lowerCamelCase__     )
        if lc < self.cur_size and self.array(lowerCamelCase__     )[0] < self.array(lowerCamelCase__     )[0]:
             _UpperCamelCase  :Union[str, Any]       =lc
        else:
             _UpperCamelCase  :List[str]       =idx
        if rc < self.cur_size and self.array(lowerCamelCase__     )[0] < self.array(lowerCamelCase__     )[0]:
             _UpperCamelCase  :str       =rc
        if smallest != idx:
             self.swap(lowerCamelCase__					,      lowerCamelCase__     )
             self.min_heapify(lowerCamelCase__     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     int:
        """simple docstring"""





        _UpperCamelCase  :Union[str, Any]       =self.cur_size
        self.cur_size += 1
        self.array.append((sys.maxsize, tup[1])     )
        self.decrease_key((sys.maxsize, tup[1])					,      tup[0]     )



   def  _UpperCamelCase		(    self     )				->     int:
        """simple docstring"""





        _UpperCamelCase  :Dict       =self.array[0][1]
        _UpperCamelCase  :Tuple       =self.array[self.cur_size - 1]
        self.cur_size -= 1
        self.min_heapify(1     )
        del self.pos[min_node]
        return min_node



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Optional[Any]:
        """simple docstring"""





        return 2 * i + 1



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Dict:
        """simple docstring"""





        return 2 * i + 2



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Tuple:
        """simple docstring"""





        return math.floor(i / 2     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        _UpperCamelCase  :Union[str, Any]       =j
        _UpperCamelCase  :Any       =i
        _UpperCamelCase  :Union[str, Any]       =self.array[i]
        _UpperCamelCase  :Optional[int]       =self.array[j]
        _UpperCamelCase  :Optional[Any]       =temp




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     Any:
        """simple docstring"""





        _UpperCamelCase  :Optional[Any]       =self.pos[tup[1]]
        # assuming the new_d is atmost old_d
        _UpperCamelCase  :Optional[Any]       =(new_d, tup[1])
        while idx > 0 and self.array[self.par(lowerCamelCase__     )][0] > self.array[idx][0]:
             self.swap(lowerCamelCase__					,      self.par(lowerCamelCase__     )     )
             _UpperCamelCase  :int       =self.par(lowerCamelCase__     )




class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        _UpperCamelCase  :str       ={}  # To store graph: u -> (v,w)
        _UpperCamelCase  :List[str]       =num  # Number of nodes in graph
        # To store the distance from source vertex
        _UpperCamelCase  :str       =[0] * self.num_nodes
        _UpperCamelCase  :int       =[-1] * self.num_nodes  # To store the path



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     List[str]:
        """simple docstring"""





        if u in self.adjList:
             self.adjList[u].append((v, w)     )
        else:
             _UpperCamelCase  :Any       =[(v, w)]

        # Assuming undirected graph
        if v in self.adjList:
             self.adjList[v].append((u, w)     )
        else:
             _UpperCamelCase  :str       =[(u, w)]



   def  _UpperCamelCase		(    self     )				->     Union[str, Any]:
        """simple docstring"""





        for u in self.adjList:
             print(lowerCamelCase__					,      """->"""					,      """ -> """.join(str(f'''{v}({w})'''     ) for v, w in self.adjList[u]     )     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Dict:
        """simple docstring"""





        _UpperCamelCase  :int       =[-1] * self.num_nodes
        # src is the source node
        _UpperCamelCase  :Optional[Any]       =0
        _UpperCamelCase  :Dict       =PriorityQueue()
        q.insert((0, src)     )  # (dist from src, node)
        for u in self.adjList:
             if u != src:
                  _UpperCamelCase  :List[Any]       =sys.maxsize  # Infinity
                  _UpperCamelCase  :Optional[int]       =-1

        while not q.is_empty():
             _UpperCamelCase  :List[Any]       =q.extract_min()  # Returns node with the min dist from source
             # Update the distance of all the neighbours of u and
             # if their prev dist was INFINITY then push them in Q
             for v, w in self.adjList[u]:
                  _UpperCamelCase  :Optional[Any]       =self.dist[u] + w
                  if self.dist[v] > new_dist:
                       if self.dist[v] == sys.maxsize:
                            q.insert((new_dist, v)     )
                       else:
                            q.decrease_key((self.dist[v], v)					,      lowerCamelCase__     )
                       _UpperCamelCase  :Optional[Any]       =new_dist
                       _UpperCamelCase  :List[str]       =u

        # Show the shortest distances from src
        self.show_distances(lowerCamelCase__     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__     )				->     Tuple:
        """simple docstring"""





        print(f'''Distance from node: {src}'''     )
        for u in range(self.num_nodes     ):
             print(f'''Node {u} has distance: {self.dist[u]}'''     )




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     Any:
        """simple docstring"""





        _UpperCamelCase  :Union[str, Any]       =[]
        _UpperCamelCase  :List[Any]       =0
        _UpperCamelCase  :Optional[int]       =dest
        # Backtracking from dest to src
        while self.par[temp] != -1:
             path.append(lowerCamelCase__     )
             if temp != src:
                  for v, w in self.adjList[temp]:
                       if v == self.par[temp]:
                            cost += w
                            break
             _UpperCamelCase  :List[Any]       =self.par[temp]
        path.append(lowerCamelCase__     )
        path.reverse()

        print(f'''----Path to reach {dest} from {src}----'''     )
        for u in path:
             print(f'''{u}'''					,      end=""" """     )
             if u != dest:
                  print("""-> """					,      end=""""""     )

        print("""\nTotal cost of path: """					,      lowerCamelCase__     )


if __name__ == "__main__":
      _lowerCamelCase :				Union[str, Any]														= Graph(9)
      graph.add_edge(0, 1, 4)
      graph.add_edge(0, 7, 8)
      graph.add_edge(1, 2, 8)
      graph.add_edge(1, 7, 11)
      graph.add_edge(2, 3, 7)
      graph.add_edge(2, 8, 2)
      graph.add_edge(2, 5, 4)
      graph.add_edge(3, 4, 9)
      graph.add_edge(3, 5, 14)
      graph.add_edge(4, 5, 10)
      graph.add_edge(5, 6, 2)
      graph.add_edge(6, 7, 1)
      graph.add_edge(6, 8, 6)
      graph.add_edge(7, 8, 7)
      graph.show_graph()
      graph.dijkstra(0)
      graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21



'''simple docstring'''


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 			__lowerCAmelCase			(__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 						lowerCAmelCase__      (      UpperCAmelCase__						):




			@staticmethod
			def 				lowerCAmelCase__     (		lowerCamelCase__	:  ArgumentParser			) ->Optional[Any]:



					'''simple docstring'''







					_UpperCAmelCase		:							Union[str, Any]             =   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	:  str						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  bool						,	lowerCamelCase__	:  bool						,	lowerCamelCase__	:  bool						,	lowerCamelCase__	:  bool						,	**lowerCamelCase__	:  Optional[Any]						,	) ->Tuple:



					'''simple docstring'''







					_UpperCAmelCase		:							Any             =   dataset
					_UpperCAmelCase		:							str             =   name
					_UpperCAmelCase		:							int             =   cache_dir
					_UpperCAmelCase		:							Optional[int]             =   beam_pipeline_options
					_UpperCAmelCase		:							int             =   data_dir
					_UpperCAmelCase		:							Optional[int]             =   all_configs
					_UpperCAmelCase		:							Any             =   save_infos
					_UpperCAmelCase		:							Optional[Any]             =   ignore_verifications
					_UpperCAmelCase		:							Any             =   force_redownload
					_UpperCAmelCase		:							Tuple             =   config_kwargs






			def 				lowerCAmelCase__     (		self	:  Dict			) ->Union[str, Any]:



					'''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		:							Union[str, Any]             =   self._dataset, self._name
					_UpperCAmelCase		:							Union[str, Any]             =   dataset_module_factory(lowerCamelCase__			)
					_UpperCAmelCase		:							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		:							str             =   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:
							_UpperCAmelCase		:							Optional[Any]             =   os.path.join(builder_cls.get_imported_module_dir()						,	config.DATASETDICT_INFOS_FILENAME			)

							_UpperCAmelCase		:							List[str]             =   Path(lowerCamelCase__			).name + ".py"

							_UpperCAmelCase		:							int             =   os.path.join(lowerCamelCase__						,	lowerCamelCase__			)
							if os.path.isfile(lowerCamelCase__			):
									_UpperCAmelCase		:							Any             =   os.path.dirname(lowerCamelCase__			)
							elif os.path.isfile(lowerCamelCase__			):
									_UpperCAmelCase		:							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
							_UpperCAmelCase		:							Union[str, Any]             =   os.path.join(lowerCamelCase__						,	config.DATASETDICT_INFOS_FILENAME			)
							copyfile(lowerCamelCase__						,	lowerCamelCase__			)
							print(F"""Dataset Infos file saved at {user_dataset_infos_path}"""			)



