


'''simple docstring'''






import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__A	:	List[str]     =     pytest.mark.integration





@pytest.mark.parametrize("""path"""				,      ["""paws""", """csv"""] )
def      UpperCAmelCase      (		lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :Optional[int] ):







		'''simple docstring'''
		inspect_dataset(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							Any			       =						path + """.py"""
		assert script_name in os.listdir(lowerCamelCase_ )
		assert "__pycache__" not in os.listdir(lowerCamelCase_ )





@pytest.mark.filterwarnings("""ignore:inspect_metric is deprecated:FutureWarning""" )
@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning""" )
@pytest.mark.parametrize("""path"""				,      ["""accuracy"""] )
def      UpperCAmelCase      (		lowerCamelCase_  :Dict				,      lowerCamelCase_  :int ):







		'''simple docstring'''
		inspect_metric(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							Union[str, Any]			       =						path + """.py"""
		assert script_name in os.listdir(lowerCamelCase_ )
		assert "__pycache__" not in os.listdir(lowerCamelCase_ )





@pytest.mark.parametrize(
    """path, config_name, expected_splits"""				,      [
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :List[Any]				,      lowerCamelCase_  :int ):







		'''simple docstring'''
		snake_case_		:							Optional[Any]			       =						get_dataset_config_info(lowerCamelCase_				,      config_name=lowerCamelCase_ )
		assert info.config_name == config_name
		assert list(info.splits.keys() ) == expected_splits





@pytest.mark.parametrize(
    """path, config_name, expected_exception"""				,      [
        ("""paws""", None, ValueError),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :str				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :Optional[Any] ):







		'''simple docstring'''
		with pytest.raises(lowerCamelCase_ ):
				get_dataset_config_info(lowerCamelCase_				,      config_name=lowerCamelCase_ )





@pytest.mark.parametrize(
    """path, expected"""				,      [
        ("""squad""", """plain_text"""),
        ("""acronym_identification""", """default"""),
        ("""lhoestq/squad""", """plain_text"""),
        ("""lhoestq/test""", """default"""),
        ("""lhoestq/demo1""", """lhoestq--demo1"""),
        ("""dalle-mini/wit""", """dalle-mini--wit"""),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :List[str]				,      lowerCamelCase_  :Union[str, Any] ):







		'''simple docstring'''
		snake_case_		:							int			       =						get_dataset_config_names(lowerCamelCase_ )
		assert expected in config_names





@pytest.mark.parametrize(
    """path, expected_configs, expected_splits_in_first_config"""				,      [
        ("""squad""", ["""plain_text"""], ["""train""", """validation"""]),
        ("""dalle-mini/wit""", ["""dalle-mini--wit"""], ["""train"""]),
        ("""paws""", ["""labeled_final""", """labeled_swap""", """unlabeled_final"""], ["""train""", """test""", """validation"""]),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :Any				,      lowerCamelCase_  :Tuple				,      lowerCamelCase_  :Tuple ):







		'''simple docstring'''
		snake_case_		:							int			       =						get_dataset_infos(lowerCamelCase_ )
		assert list(infos.keys() ) == expected_configs
		snake_case_		:							List[str]			       =						expected_configs[0]
		assert expected_config in infos
		snake_case_		:							Any			       =						infos[expected_config]
		assert info.config_name == expected_config
		assert list(info.splits.keys() ) == expected_splits_in_first_config





@pytest.mark.parametrize(
    """path, expected_config, expected_splits"""				,      [
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :List[str]				,      lowerCamelCase_  :List[str]				,      lowerCamelCase_  :Tuple ):







		'''simple docstring'''
		snake_case_		:							int			       =						get_dataset_infos(lowerCamelCase_ )
		assert expected_config in infos
		snake_case_		:							Tuple			       =						infos[expected_config]
		assert info.config_name == expected_config
		assert list(info.splits.keys() ) == expected_splits






@pytest.mark.parametrize(
    """path, config_name, expected_exception"""				,      [
        ("""paws""", None, ValueError),
    ]				,      )
def      UpperCAmelCase      (		lowerCamelCase_  :Optional[Any]				,      lowerCamelCase_  :Any				,      lowerCamelCase_  :str ):







		'''simple docstring'''
		with pytest.raises(lowerCamelCase_ ):
				get_dataset_split_names(lowerCamelCase_				,      config_name=lowerCamelCase_ )



'''simple docstring'''






from __future__ import annotations

import os
from collections.abc import Mapping

__A	:	str     =     tuple[int, int]
class 						__UpperCamelCase	:





							def __init__(  self		:Union[str, Any]  ,_UpperCamelCase		:set[int]  ,_UpperCamelCase		:Mapping[EdgeT, int]			):
									snake_case_		:							set[int]			       =						vertices
									snake_case_		:							dict[EdgeT, int]			       =						{
									    (min(_UpperCamelCase			), max(_UpperCamelCase			)): weight for edge, weight in edges.items()
									}





							def 		a__   (  self		:Tuple  ,_UpperCamelCase		:EdgeT  ,_UpperCamelCase		:int			):
									self.vertices.add(edge[0]			)
									self.vertices.add(edge[1]			)
									snake_case_		:							str			       =						weight





							def 		a__   (  self		:Tuple			):
									snake_case_		:							Graph			       =						Graph({min(self.vertices			)}  ,{}			)
									snake_case_		:							EdgeT
									snake_case_		:							int
									snake_case_		:							EdgeT
									snake_case_		:							int

									while len(subgraph.vertices			) < len(self.vertices			):
											snake_case_		:							int			       =						max(self.edges.values()			) + 1
											for edge, weight in self.edges.items():
													if (edge[0] in subgraph.vertices) ^ (edge[1] in subgraph.vertices):
															if weight < min_weight:
																	snake_case_		:							Dict			       =						edge
																	snake_case_		:							Dict			       =						weight

											subgraph.add_edge(_UpperCamelCase  ,_UpperCamelCase			)

									return subgraph





def      UpperCAmelCase      (		lowerCamelCase_  :str = "p107_network.txt" ):







		'''simple docstring'''
		snake_case_		:							str			       =						os.path.abspath(os.path.dirname(lowerCamelCase_ ) )
		snake_case_		:							str			       =						os.path.join(lowerCamelCase_				,      lowerCamelCase_ )
		snake_case_		:							dict[EdgeT, int]			       =						{}
		snake_case_		:							list[str]
		snake_case_		:							int
		snake_case_		:							int

		with open(lowerCamelCase_ ) as f:
				snake_case_		:							Optional[int]			       =						f.read().strip().split("""\n""" )

		snake_case_		:							Any			       =						[line.split(""",""" ) for line in data]

		for edgea in range(1				,      len(lowerCamelCase_ ) ):
				for edgea in range(lowerCamelCase_ ):
						if adjaceny_matrix[edgea][edgea] != "-":
								snake_case_		:							str			       =						int(adjaceny_matrix[edgea][edgea] )

		snake_case_		:							Graph			       =						Graph(set(range(len(lowerCamelCase_ ) ) )				,      lowerCamelCase_ )

		snake_case_		:							Graph			       =						graph.prims_algorithm()

		snake_case_		:							int			       =						sum(graph.edges.values() )
		snake_case_		:							int			       =						sum(subgraph.edges.values() )

		return initial_total - optimal_total


if __name__ == "__main__":
							print(F'{solution() = }')