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


__magic_name__    		=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     (    A			,				A				):
     return (abs(source - target				) / target) < 0.01







@pytest.mark.integration
def 			__UpperCamelCase     (    A				):
     UpperCamelCase__					    =   _TestCommandArgs(dataset=__UpperCAmelCase			,				all_configs=__UpperCAmelCase			,				save_infos=__UpperCAmelCase				)
     UpperCamelCase__					    =   TestCommand(*__UpperCAmelCase				)
     test_command.run()
     UpperCamelCase__					    =   os.path.join(__UpperCAmelCase			,				'''README.md'''				)
     assert os.path.exists(__UpperCAmelCase				)
     UpperCamelCase__					    =   DatasetInfosDict.from_directory(__UpperCAmelCase				)
     UpperCamelCase__					    =   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:
          UpperCamelCase__    ,							UpperCamelCase__					    =   getattr(dataset_infos['''default''']			,				__UpperCAmelCase				), getattr(expected_dataset_infos['''default''']			,				__UpperCAmelCase				)
          if key == "num_bytes":
               assert is_apercent_close(__UpperCAmelCase			,				__UpperCAmelCase				)
          elif key == "splits":
               assert list(__UpperCAmelCase				) == list(__UpperCAmelCase				)
               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'''

def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   Optional[Any]:

					'''simple docstring'''

					snake_case_		     =							[False] * len(__UpperCAmelCase      )
					snake_case_		     =							[]
					queue.append(__UpperCAmelCase      )
					snake_case_		     =							True

					while queue:
										snake_case_		     =							queue.pop(0      )
										for ind in range(len(graph[u]      )      ):
															if visited[ind] is False and graph[u][ind] > 0:
																				queue.append(__UpperCAmelCase      )
																				snake_case_		     =							True
																				snake_case_		     =							u

					return visited[t]


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      )						->   Tuple:

					'''simple docstring'''

					snake_case_		     =							[-1] * (len(__UpperCAmelCase      ))
					snake_case_		     =							0
					while bfs(__UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase, __UpperCAmelCase      ):
										snake_case_		     =							float('''Inf'''      )
										snake_case_		     =							sink

										while s != source:
															# Find the minimum value in select path
															snake_case_		     =							min(__UpperCAmelCase, graph[parent[s]][s]      )
															snake_case_		     =							parent[s]

										max_flow += path_flow
										snake_case_		     =							sink

										while v != source:
															snake_case_		     =							parent[v]
															graph[u][v] -= path_flow
															graph[v][u] += path_flow
															snake_case_		     =							parent[v]
					return max_flow


a    :							List[Any]										=    [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

a						,a    :							int										=    0, 5

print(ford_fulkerson(graph, source, sink))

