
import os
from collections import namedtuple

import pytest

from datasets import ClassLabel, Features, Sequence, Value
from datasets.commands.test import TestCommand
from datasets.info import DatasetInfo, DatasetInfosDict


_A     =  namedtuple(
    "_TestCommandArgs",
    [
        "dataset",
        "name",
        "cache_dir",
        "data_dir",
        "all_configs",
        "save_infos",
        "ignore_verifications",
        "force_redownload",
        "clear_cache",
    ],
    defaults=[None, None, None, False, False, False, False, False],
)






def      lowerCamelCase__       (       __lowerCAmelCase						:						Optional[Any]					,							__lowerCAmelCase						:						Dict       ):




			"""simple docstring"""


			return (abs(source - target       ) / target) < 0.01






@pytest.mark.integration
def      lowerCamelCase__       (       __lowerCAmelCase						:						List[Any]       ):




			"""simple docstring"""


			lowerCAmelCase_      			=			_TestCommandArgs(dataset=__lowerCAmelCase					,							all_configs=__lowerCAmelCase					,							save_infos=__lowerCAmelCase       )
			lowerCAmelCase_      			=			TestCommand(*__lowerCAmelCase       )
			test_command.run()
			lowerCAmelCase_      			=			os.path.join(__lowerCAmelCase					,							"README.md"       )
			assert os.path.exists(__lowerCAmelCase       )
			lowerCAmelCase_      			=			DatasetInfosDict.from_directory(__lowerCAmelCase       )
			lowerCAmelCase_      			=			DatasetInfosDict(
			    {
			        "default": DatasetInfo(
			            features=Features(
			                {
			                    "tokens": Sequence(Value("string"       )       ),
			                    "ner_tags": Sequence(
			                        ClassLabel(names=["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC"]       )       ),
			                    "langs": Sequence(Value("string"       )       ),
			                    "spans": Sequence(Value("string"       )       ),
			                }       )					,							splits=[
			                {
			                    "name": "train",
			                    "num_bytes": 2351563,
			                    "num_examples": 10000,
			                },
			                {
			                    "name": "validation",
			                    "num_bytes": 238418,
			                    "num_examples": 1000,
			                },
			            ]					,							download_size=3940680					,							dataset_size=2589981					,							)
			    }       )
			assert dataset_infos.keys() == expected_dataset_infos.keys()
			for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
						lowerCAmelCase_			,						lowerCAmelCase_      			=			getattr(dataset_infos["default"]					,							__lowerCAmelCase       ), getattr(expected_dataset_infos["default"]					,							__lowerCAmelCase       )
						if key == "num_bytes":
									assert is_apercent_close(__lowerCAmelCase					,							__lowerCAmelCase       )
						elif key == "splits":
									assert list(__lowerCAmelCase       ) == list(__lowerCAmelCase       )
									for split in result:
												assert result[split].name == expected[split].name
												assert result[split].num_examples == expected[split].num_examples
												assert is_apercent_close(result[split].num_bytes					,							expected[split].num_bytes       )
						else:
									result == expected





import math





class 			_lowerCAmelCase      :




				def __init__(      self       ,       _UpperCamelCase=0  )       ->   Tuple:  # a graph with Node 0,1,...,N-1
							lowerCAmelCase_      			=			n
							lowerCAmelCase_      			=			[
							    [math.inf for j in range(0       ,       _UpperCamelCase  )] for i in range(0       ,       _UpperCamelCase  )
							]  # adjacency matrix for weight
							lowerCAmelCase_      			=			[
							    [math.inf for j in range(0       ,       _UpperCamelCase  )] for i in range(0       ,       _UpperCamelCase  )
							]  # dp[i][j] stores minimum distance from i to j




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   List[Any]:
							lowerCAmelCase_      			=			w




				def   __a		(      self  )       ->   List[str]:
							for k in range(0       ,       self.n  ):
										for i in range(0       ,       self.n  ):
													for j in range(0       ,       self.n  ):
																lowerCAmelCase_      			=			min(self.dp[i][j]       ,       self.dp[i][k] + self.dp[k][j]  )




				def   __a		(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   Dict:
							return self.dp[u][v]


if __name__ == "__main__":
			_A     =  Graph(5)
			graph.add_edge(0, 2, 9)
			graph.add_edge(0, 4, 10)
			graph.add_edge(1, 3, 5)
			graph.add_edge(2, 3, 7)
			graph.add_edge(3, 0, 10)
			graph.add_edge(3, 1, 2)
			graph.add_edge(3, 2, 1)
			graph.add_edge(3, 4, 6)
			graph.add_edge(4, 1, 3)
			graph.add_edge(4, 2, 4)
			graph.add_edge(4, 3, 9)
			graph.floyd_warshall()
			graph.show_min(1, 4)
			graph.show_min(0, 3)



