





"""simple docstring"""





from __future__ import annotations

from typing import Generic, TypeVar

SCREAMING_SNAKE_CASE__					=   TypeVar("T")

class 		lowercase					(					Generic[T]					):





      def __init__(       self      ,						lowercase )		->     None:
            lowerCAmelCase  						=       data
            lowerCAmelCase  						=       self
            lowerCAmelCase  						=       0







class 		lowercase					(					Generic[T]					):





      def __init__(       self )		->     None:
            # map from node name to the node object
            lowerCAmelCase  						=       {}





      def     _snake_case			(       self      ,						lowercase )		->     None:
            # create a new set with x as its member
            lowerCAmelCase  						=       DisjointSetTreeNode(lowercase )





      def     _snake_case			(       self      ,						lowercase )		->     DisjointSetTreeNode[T]:
            # find the set x belongs to (with path-compression)
            lowerCAmelCase  						=       self.map[data]
            if elem_ref != elem_ref.parent:
                  lowerCAmelCase  						=       self.find_set(elem_ref.parent.data )
            return elem_ref.parent





      def     _snake_case			(       self      ,						lowercase      ,						lowercase )		->     None:
            # helper function for union operation
            if nodea.rank > nodea.rank:
                  lowerCAmelCase  						=       nodea
            else:
                  lowerCAmelCase  						=       nodea
                  if nodea.rank == nodea.rank:
                        nodea.rank += 1





      def     _snake_case			(       self      ,						lowercase      ,						lowercase )		->     None:
            # merge 2 disjoint sets
            self.link(self.find_set(lowercase )      ,						self.find_set(lowercase ) )







class 		lowercase					(					Generic[T]					):





      def __init__(       self )		->     None:
            # connections: map from the node to the neighbouring nodes (with weights)
            lowerCAmelCase  						=       {}





      def     _snake_case			(       self      ,						lowercase )		->     None:
            # add a node ONLY if its not present in the graph
            if node not in self.connections:
                  lowerCAmelCase  						=       {}





      def     _snake_case			(       self      ,						lowercase      ,						lowercase      ,						lowercase )		->     None:
            # add an edge with the given weight
            self.add_node(lowercase )
            self.add_node(lowercase )
            lowerCAmelCase  						=       weight
            lowerCAmelCase  						=       weight





      def     _snake_case			(       self )		->     GraphUndirectedWeighted[T]:
            lowerCAmelCase  						=       []
            lowerCAmelCase  						=       set()
            for start in self.connections:
                  for end in self.connections[start]:
                        if (start, end) not in seen:
                              seen.add((end, start) )
                              edges.append((start, end, self.connections[start][end]) )
            edges.sort(key=lambda lowercase : x[2] )

            # creating the disjoint set
            lowerCAmelCase  						=       DisjointSetTree[T]()
            for node in self.connections:
                  disjoint_set.make_set(lowercase )

            # MST generation
            lowerCAmelCase  						=       0
            lowerCAmelCase  						=       0
            lowerCAmelCase  						=       GraphUndirectedWeighted[T]()
            while num_edges < len(self.connections ) - 1:
                  lowerCAmelCase						,		lowerCAmelCase						,		lowerCAmelCase  						=       edges[index]
                  index += 1
                  lowerCAmelCase  						=       disjoint_set.find_set(lowercase )
                  lowerCAmelCase  						=       disjoint_set.find_set(lowercase )
                  if parent_u != parent_v:
                        num_edges += 1
                        graph.add_edge(lowercase      ,						lowercase      ,						lowercase )
                        disjoint_set.union(lowercase      ,						lowercase )
            return graph








import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate





@dataclass(frozen=__SCREAMING_SNAKE_CASE)
class 							A__		(	__SCREAMING_SNAKE_CASE):
      _UpperCAmelCase				:    str           =			field(default="""automatic-speech-recognition"""  ,   metadata={"""include_in_asdict_even_if_is_default""": True})
      _UpperCAmelCase				:    ClassVar[Features]           =			Features({"""audio""": Audio()})
      _UpperCAmelCase				:    ClassVar[Features]           =			Features({"""transcription""": Value("""string""")})
      _UpperCAmelCase				:    str           =			"audio"
      _UpperCAmelCase				:    str           =			"transcription"
      def 						UpperCamelCase__							(      self    ,  __magic_name__      ):
       if self.audio_column not in features:
        raise ValueError(F'''Column {self.audio_column} is not present in features.'''      )
       if not isinstance(features[self.audio_column]    ,  __magic_name__      ):
        raise ValueError(F'''Column {self.audio_column} is not an Audio type.'''      )
       lowerCamelCase		:	Optional[Any]							=      copy.deepcopy(self      )
       lowerCamelCase		:	List[Any]							=      self.input_schema.copy()
       lowerCamelCase		:	Tuple							=      features[self.audio_column]
       lowerCamelCase		:	int							=      input_schema
       return task_template






      @property
      def 						UpperCamelCase__							(      self      ):
       return {self.audio_column: "audio", self.transcription_column: "transcription"}




