



from argparse import ArgumentParser

from datasets.commands.convert import ConvertCommand
from datasets.commands.dummy_data import DummyDataCommand
from datasets.commands.env import EnvironmentCommand
from datasets.commands.run_beam import RunBeamCommand
from datasets.commands.test import TestCommand
from datasets.utils.logging import set_verbosity_info






def 	__lowercase   ( a__   )				-> Optional[Any]:
							return {key.lstrip('-'   ): value for key, value in zip(unknown_args[::2]							,   unknown_args[1::2]   )}






def 	__lowercase   ( )				-> Dict:
							__SCREAMING_SNAKE_CASE									=					ArgumentParser(
							    'HuggingFace Datasets CLI tool'							,   usage='datasets-cli <command> [<args>]'							,   allow_abbrev=lowerCamelCase__   )
							__SCREAMING_SNAKE_CASE									=					parser.add_subparsers(help='datasets-cli command helpers'   )
							set_verbosity_info()

							# Register commands
							ConvertCommand.register_subcommand(lowerCamelCase__   )
							EnvironmentCommand.register_subcommand(lowerCamelCase__   )
							TestCommand.register_subcommand(lowerCamelCase__   )
							RunBeamCommand.register_subcommand(lowerCamelCase__   )
							DummyDataCommand.register_subcommand(lowerCamelCase__   )

							# Parse args
							__SCREAMING_SNAKE_CASE							,       __SCREAMING_SNAKE_CASE									=					parser.parse_known_args()
							if not hasattr(lowerCamelCase__							,   'func'   ):
														parser.print_help()
														exit(1   )
							__SCREAMING_SNAKE_CASE									=					parse_unknown_args(lowerCamelCase__   )

							# Run
							__SCREAMING_SNAKE_CASE									=					args.func(lowerCamelCase__							,   **lowerCamelCase__   )
							service.run()


if __name__ == "__main__":
			main()








from collections import defaultdict

from graphs.minimum_spanning_tree_prims import prisms_algorithm as mst





def 			lowerCamelCase_ (				):
				lowerCamelCase_	,    lowerCamelCase_						=			9, 1_4  # noqa: F841
				lowerCamelCase_						=			[
				    [0, 1, 4],
				    [0, 7, 8],
				    [1, 2, 8],
				    [7, 8, 7],
				    [7, 6, 1],
				    [2, 8, 2],
				    [8, 6, 6],
				    [2, 3, 7],
				    [2, 5, 4],
				    [6, 5, 2],
				    [3, 5, 1_4],
				    [3, 4, 9],
				    [5, 4, 1_0],
				    [1, 7, 1_1],
				]

				lowerCamelCase_						=			defaultdict(lowerCamelCase__    )
				for nodea, nodea, cost in edges:
								adjancency[nodea].append([nodea, cost]    )
								adjancency[nodea].append([nodea, cost]    )

				lowerCamelCase_						=			mst(lowerCamelCase__    )

				lowerCamelCase_						=			[
				    [7, 6, 1],
				    [2, 8, 2],
				    [6, 5, 2],
				    [0, 1, 4],
				    [2, 5, 4],
				    [2, 3, 7],
				    [0, 7, 8],
				    [3, 4, 9],
				]

				for answer in expected:
								lowerCamelCase_						=			tuple(answer[:2]    )
								lowerCamelCase_						=			tuple(edge[::-1]    )
								assert edge in result or reverse in result


