




import os

import pytest
import yaml

from datasets.features.features import Features, Value
from datasets.info import DatasetInfo, DatasetInfosDict







@pytest.mark.parametrize(
    """files""",[
        ["""full:README.md""", """dataset_infos.json"""],
        ["""empty:README.md""", """dataset_infos.json"""],
        ["""dataset_infos.json"""],
        ["""full:README.md"""],
    ],)
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     Tuple			=						tmp_path_factory.mktemp("""dset_infos_dir"""     )
      if "full:README.md" in files:
            with open(dataset_infos_dir / """README.md""","""w"""     ) as f:
                  f.write("""---\ndataset_info:\n  dataset_size: 42\n---"""     )
      if "empty:README.md" in files:
            with open(dataset_infos_dir / """README.md""","""w"""     ) as f:
                  f.write(""""""     )
    # we want to support dataset_infos.json for backward compatibility
      if "dataset_infos.json" in files:
            with open(dataset_infos_dir / """dataset_infos.json""","""w"""     ) as f:
                  f.write("""{\"default\": {\"dataset_size\": 42}}"""     )
      _A							:     Optional[int]			=						DatasetInfosDict.from_directory(UpperCamelCase_     )
      assert dataset_infos
      assert dataset_infos["default"].dataset_size == 42







@pytest.mark.parametrize(
    """dataset_info""",[
        DatasetInfo(),
        DatasetInfo(
            description="""foo""",features=Features({"""a""": Value("""int32"""     )}     ),builder_name="""builder""",config_name="""config""",version="""1.0.0""",splits=[{"""name""": """train"""}],download_size=42,),
    ],)
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     List[str]			=						str(UpperCamelCase_     )
      dataset_info.write_to_directory(UpperCamelCase_     )
      _A							:     Dict			=						DatasetInfo.from_directory(UpperCamelCase_     )
      assert dataset_info == reloaded
      assert os.path.exists(os.path.join(UpperCamelCase_,"""dataset_info.json"""     )     )







def 				lowerCAmelCase_	(     ):
      _A							:     Union[str, Any]			=						DatasetInfo(
          description="""foo""",citation="""bar""",homepage="""https://foo.bar""",license="""CC0""",features=Features({"""a""": Value("""int32"""     )}     ),post_processed={},supervised_keys=(),task_templates=[],builder_name="""builder""",config_name="""config""",version="""1.0.0""",splits=[{"""name""": """train""", """num_examples""": 42}],download_checksums={},download_size=1337,post_processing_size=442,dataset_size=1234,size_in_bytes=1337 + 442 + 1234,)
      _A							:     Any			=						dataset_info._to_yaml_dict()
      assert sorted(UpperCamelCase_     ) == sorted(DatasetInfo._INCLUDED_INFO_IN_YAML     )
      for key in DatasetInfo._INCLUDED_INFO_IN_YAML:
            assert key in dataset_info_yaml_dict
            assert isinstance(dataset_info_yaml_dict[key],(list, dict, int, str)     )
      _A							:     Optional[int]			=						yaml.safe_dump(UpperCamelCase_     )
      _A							:     Optional[int]			=						yaml.safe_load(UpperCamelCase_     )
      assert dataset_info_yaml_dict == reloaded







def 				lowerCAmelCase_	(     ):
      _A							:     Optional[int]			=						DatasetInfo()
      _A							:     Union[str, Any]			=						dataset_info._to_yaml_dict()
      assert dataset_info_yaml_dict == {}







@pytest.mark.parametrize(
    """dataset_infos_dict""",[
        DatasetInfosDict(),
        DatasetInfosDict({"""default""": DatasetInfo()}     ),
        DatasetInfosDict({"""my_config_name""": DatasetInfo()}     ),
        DatasetInfosDict(
            {
                """default""": DatasetInfo(
                    description="""foo""",features=Features({"""a""": Value("""int32"""     )}     ),builder_name="""builder""",config_name="""config""",version="""1.0.0""",splits=[{"""name""": """train"""}],download_size=42,)
            }     ),
        DatasetInfosDict(
            {
                """v1""": DatasetInfo(dataset_size=42     ),
                """v2""": DatasetInfo(dataset_size=1337     ),
            }     ),
    ],)
def 				lowerCAmelCase_	(     snake_case_,snake_case_     ):
      _A							:     Dict			=						str(UpperCamelCase_     )
      dataset_infos_dict.write_to_directory(UpperCamelCase_     )
      _A							:     Any			=						DatasetInfosDict.from_directory(UpperCamelCase_     )

      # the config_name of the dataset_infos_dict take over the attribute
      for config_name, dataset_info in dataset_infos_dict.items():
            _A							:     Any			=						config_name
            # the yaml representation doesn't include fields like description or citation
            # so we just test that we can recover what we can from the yaml
            _A							:     str			=						DatasetInfo._from_yaml_dict(dataset_info._to_yaml_dict()     )
      assert dataset_infos_dict == reloaded

      if dataset_infos_dict:
            assert os.path.exists(os.path.join(UpperCamelCase_,"""README.md"""     )     )




"""simple docstring"""





from __future__ import annotations

from typing import Any




class 					_lowerCAmelCase  :







 """simple docstring"""







 def __init__(			self							:			Any,					UpperCAmelCase__							:			int	):
    __lowercase								=						num_of_nodes
    __lowercase								=						[]
    __lowercase								=						{}


 def 					_lowercase (			self							:			Optional[Any],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):
    self.m_edges.append([u_node, v_node, weight]	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] == u_node:
       return u_node
    return self.find_component(self.m_component[u_node]	)


 def 					_lowercase (			self							:			List[Any],					UpperCAmelCase__							:			int	):

    if self.m_component[u_node] != u_node:
       for k in self.m_component:
          __lowercase								=						self.find_component(UpperCAmelCase__	)


 def 					_lowercase (			self							:			Union[str, Any],					UpperCAmelCase__							:			list[int],					UpperCAmelCase__							:			int,					UpperCAmelCase__							:			int	):

    if component_size[u_node] <= component_size[v_node]:
       __lowercase								=						v_node
       component_size[v_node] += component_size[u_node]
       self.set_component(UpperCAmelCase__	)

    elif component_size[u_node] >= component_size[v_node]:
       __lowercase								=						self.find_component(UpperCAmelCase__	)
       component_size[u_node] += component_size[v_node]
       self.set_component(UpperCAmelCase__	)



 def 					_lowercase (			self							:			Any	):
    __lowercase								=						[]
    __lowercase								=						0

    __lowercase								=						[-1] * self.m_num_of_nodes

    # A list of components (initialized to all of the nodes)
    for node in range(self.m_num_of_nodes	):
       self.m_component.update({node: node}	)
       component_size.append(1	)

    __lowercase								=						self.m_num_of_nodes

    while num_of_components > 1:
       for edge in self.m_edges:
          __lowercase		,__lowercase		,__lowercase								=						edge

          __lowercase								=						self.m_component[u]
          __lowercase								=						self.m_component[v]

          if u_component != v_component:

             for component in (u_component, v_component):
                if (
                    minimum_weight_edge[component] == -1
                    or minimum_weight_edge[component][2] > w
                ):
                   __lowercase								=						[u, v, w]

       for edge in minimum_weight_edge:
          if isinstance(UpperCAmelCase__,					UpperCAmelCase__	):
             __lowercase		,__lowercase		,__lowercase								=						edge

             __lowercase								=						self.m_component[u]
             __lowercase								=						self.m_component[v]

             if u_component != v_component:
                mst_weight += w
                self.union(UpperCAmelCase__,					UpperCAmelCase__,					UpperCAmelCase__	)
                print(F"""Added edge [{u} - {v}]\nAdded weight: {w}\n"""	)
                num_of_components -= 1

       __lowercase								=						[-1] * self.m_num_of_nodes
    print(F"""The total weight of the minimal spanning tree is: {mst_weight}"""	)







def   _A  (  )	->						None:
   '''simple docstring'''




if __name__ == "__main__":
   import doctest

   doctest.testmod()




