





'''simple docstring'''


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


lowerCAmelCase :					Optional[int] 							=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 							UpperCAmelCase_  (						__lowerCamelCase : Tuple     ,__lowerCamelCase : List[str]			):
   return (abs(source - target			) / target) < 0.01


@pytest.mark.integration
def 							UpperCAmelCase_  (						__lowerCamelCase : List[str]			):
   lowercase_      :str         =			_TestCommandArgs(dataset=__lowerCamelCase     ,all_configs=__lowerCamelCase     ,save_infos=__lowerCamelCase			)
   lowercase_      :Union[str, Any]         =			TestCommand(*__lowerCamelCase			)
   test_command.run()
   lowercase_      :Optional[Any]         =			os.path.join(__lowerCamelCase     ,"README.md"			)
   assert os.path.exists(__lowerCamelCase			)
   lowercase_      :Union[str, Any]         =			DatasetInfosDict.from_directory(__lowerCamelCase			)
   lowercase_      :Dict         =			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": 2_35_15_63,
                       "num_examples": 1_00_00,
                   },
                   {
                       "name": "validation",
                       "num_bytes": 23_84_18,
                       "num_examples": 10_00,
                   },
               ]     ,download_size=3_94_06_80     ,dataset_size=2_58_99_81     ,)
       }			)
   assert dataset_infos.keys() == expected_dataset_infos.keys()
   for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
      lowercase_      ,							lowercase_      :Union[str, Any]         =			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









'''simple docstring'''


from __future__ import annotations

lowerCAmelCase :					Any 							={
    '''A''': ['''B''', '''C''', '''E'''],
    '''B''': ['''A''', '''D''', '''E'''],
    '''C''': ['''A''', '''F''', '''G'''],
    '''D''': ['''B'''],
    '''E''': ['''A''', '''B''', '''D'''],
    '''F''': ['''C'''],
    '''G''': ['''C'''],
}
class 				a_       :





     def __init__(			self		: List[Any]     ,				lowercase		: dict[str, list[str]]     ,				lowercase		: str						):





        """simple docstring"""




        lowercase_      :List[str]         =			graph
        # mapping node to its parent in resulting breadth first tree
        lowercase_      :dict[str, str | None]         =			{}
        lowercase_      :Dict         =			source_vertex





     def 							lowercase__				(			self		: Tuple						):





        """simple docstring"""




        lowercase_      :Union[str, Any]         =			{self.source_vertex}
        lowercase_      :Tuple         =			None
        lowercase_      :Dict         =			[self.source_vertex]  # first in first out queue

        while queue:
           lowercase_      :int         =			queue.pop(0						)
           for adjacent_vertex in self.graph[vertex]:
              if adjacent_vertex not in visited:
                 visited.add(lowercase						)
                 lowercase_      :Optional[Any]         =			vertex
                 queue.append(lowercase						)







     def 							lowercase__				(			self		: Tuple     ,				lowercase		: str						):





        """simple docstring"""




        if target_vertex == self.source_vertex:
           return self.source_vertex

        lowercase_      :List[str]         =			self.parent.get(lowercase						)
        if target_vertex_parent is None:
           lowercase_      :Union[str, Any]         =			(
               F'No path from vertex: {self.source_vertex} to vertex: {target_vertex}'
           )
           raise ValueError(lowercase						)

        return self.shortest_path(lowercase						) + F'->{target_vertex}'


if __name__ == "__main__":
 lowerCAmelCase :					Dict 							=Graph(graph, '''G''')
 g.breath_first_search()
 print(g.shortest_path('''D'''))
 print(g.shortest_path('''G'''))
 print(g.shortest_path('''Foo'''))


