



"""simple docstring"""

from __future__ import annotations

from queue import Queue
class 						lowerCAmelCase__	:


	'''simple docstring'''







	def __init__(			self							:					int						)	->  None:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       dict[int, list[int]] 							=    {}





	def  _lowerCAmelCase    (			self							:					Dict						)	->  None:





					"""simple docstring"""


					for i in self.vertices:
									print(_SCREAMING_SNAKE_CASE    ,					' : '    ,					' -> '.join([str(_SCREAMING_SNAKE_CASE						) for j in self.vertices[i]]						)						)





	def  _lowerCAmelCase    (			self							:					Union[str, Any]    ,					_SCREAMING_SNAKE_CASE							:					int    ,					_SCREAMING_SNAKE_CASE							:					int						)	->  None:





					"""simple docstring"""


					if from_vertex in self.vertices:
									self.vertices[from_vertex].append(_SCREAMING_SNAKE_CASE						)
					else:
									SCREAMING_SNAKE_CASE	:       Union[str, Any] 							=    [to_vertex]







	def  _lowerCAmelCase    (			self							:					str    ,					_SCREAMING_SNAKE_CASE							:					int						)	->  set[int]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       List[Any] 							=    set()

					# create a first in first out queue to store all the vertices for BFS
					SCREAMING_SNAKE_CASE	:       Queue 							=    Queue()

					# mark the source node as visited and enqueue it
					visited.add(_SCREAMING_SNAKE_CASE						)
					queue.put(_SCREAMING_SNAKE_CASE						)

					while not queue.empty():
									SCREAMING_SNAKE_CASE	:       Dict 							=    queue.get()

									# loop through all adjacent vertex and enqueue it if not yet visited
									for adjacent_vertex in self.vertices[vertex]:
													if adjacent_vertex not in visited:
																	queue.put(_SCREAMING_SNAKE_CASE						)
																	visited.add(_SCREAMING_SNAKE_CASE						)
					return visited


if __name__ == "__main__":
							from doctest import testmod

							testmod(verbose=True)

							A_	:						Optional[int]				=			Graph()
							g.add_edge(0, 1)
							g.add_edge(0, 2)
							g.add_edge(1, 2)
							g.add_edge(2, 0)
							g.add_edge(2, 3)
							g.add_edge(3, 3)

							g.print_graph()
							# 0  :  1 -> 2
							# 1  :  2
							# 2  :  0 -> 3
							# 3  :  3

							assert sorted(g.bfs(2)) == [0, 1, 2, 3]










"""simple docstring"""

import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def    __snake_case       (  __A			:	Union[str, Any]    )    ->					Tuple:






				'''simple docstring'''
				return EnvironmentCommand()







class 						lowerCAmelCase__	(  _lowerCamelCase   ):


	'''simple docstring'''







	@staticmethod
	def  _lowerCAmelCase    (			_SCREAMING_SNAKE_CASE							:					ArgumentParser						)	->  str:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       int 							=    parser.add_parser('env'    ,					help='Print relevant system environment info.'						)
					download_parser.set_defaults(func=_SCREAMING_SNAKE_CASE						)





	def  _lowerCAmelCase    (			self							:					Optional[int]						)	->  Optional[int]:





					"""simple docstring"""


					SCREAMING_SNAKE_CASE	:       int 							=    {
					    '`datasets` version': version,
					    'Platform': platform.platform(),
					    'Python version': platform.python_version(),
					    'Huggingface_hub version': huggingface_hub.__version__,
					    'PyArrow version': pyarrow.__version__,
					    'Pandas version': pandas.__version__,
					}

					print('\nCopy-and-paste the text below in your GitHub issue.\n'						)
					print(self.format_dict(_SCREAMING_SNAKE_CASE						)						)

					return info







	@staticmethod
	def  _lowerCAmelCase    (			_SCREAMING_SNAKE_CASE							:					Optional[Any]						)	->  List[Any]:





					"""simple docstring"""


					return "\n".join([f"""- {prop}: {val}""" for prop, val in d.items()]						) + "\n"





