





from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
      from .features import FeatureType

@dataclass
class    _UpperCAmelCase							:
      a						       =							42
      a						       =							None
      # Automatically constructed
      a						       =							"dict"
      a						       =							None
      a						       =							field(default='''Translation'''			,       init=_lowerCamelCase			,       repr=_lowerCamelCase     )
      def __call__(		self       ):
         return pa.struct({lang: pa.string() for lang in sorted(self.languages       )}       )






      def 		_lowerCamelCase      (		self       ):
         from .features import Value

         return {k: Value("""string"""       ) for k in sorted(self.languages       )}






@dataclass
class    _UpperCAmelCase							:
      a						       =							None
      a						       =							None
      a						       =							None
      # Automatically constructed
      a						       =							"dict"
      a						       =							None
      a						       =							field(default='''TranslationVariableLanguages'''			,       init=_lowerCamelCase			,       repr=_lowerCamelCase     )
      def 		_lowerCamelCase      (		self       ):
         A_     :				Tuple			      =	sorted(set(self.languages       )       ) if self.languages else None
         A_     :				str			      =	len(self.languages       ) if self.languages else None
      def __call__(		self       ):
         return pa.struct({"""language""": pa.list_(pa.string()       ), """translation""": pa.list_(pa.string()       )}       )
      def 		_lowerCamelCase      (		self      ,       a__       ):
         A_     :				List[Any]			      =	set(self.languages       )
         if self.languages and set(a__       ) - lang_set:
            raise ValueError(
                F"""Some languages in example ({', '.join(sorted(set(a__       ) - lang_set       )       )}) are not in valid set ({', '.join(a__       )})."""       )

         # Convert dictionary into tuples, splitting out cases where there are
         # multiple translations for a single language.
         A_     :				Union[str, Any]			      =	[]
         for lang, text in translation_dict.items():
            if isinstance(a__      ,       a__       ):
               translation_tuples.append((lang, text)       )
            else:
               translation_tuples.extend([(lang, el) for el in text]       )

        # Ensure translations are in ascending order by language code.
         A_      ,				A_     :				Optional[int]			      =	zip(*sorted(a__       )       )

         return {"language": languages, "translation": translations}






      def 		_lowerCamelCase      (		self       ):
         from .features import Sequence, Value

         return {
             "language": Sequence(Value("""string"""       )       ),
             "translation": Sequence(Value("""string"""       )       ),
         }













def     _lowerCAmelCase		(  _lowerCAmelCase     ):
   '''simple docstring'''


   A_     :				Union[str, Any]			      =	[0] * len(_lowerCAmelCase     )
   A_     :				Optional[int]			      =	[]
   A_     :				str			      =	[]
   A_     :				Dict			      =	0

   for values in graph.values():
      for i in values:
         indegree[i] += 1

   for i in range(len(_lowerCAmelCase     )     ):
      if indegree[i] == 0:
         queue.append(_lowerCAmelCase     )

   while queue:
      A_     :				List[str]			      =	queue.pop(0     )
      cnt += 1
      topo.append(_lowerCAmelCase     )
      for x in graph[vertex]:
         indegree[x] -= 1
         if indegree[x] == 0:
            queue.append(_lowerCAmelCase     )

   if cnt != len(_lowerCAmelCase     ):
      print("""Cycle exists"""     )
   else:
      print(_lowerCAmelCase     )


# Adjacency List of Graph
_lowerCAmelCase 				=     {0: [1, 2], 1: [3], 2: [3], 3: [4, 5], 4: [], 5: []}







topological_sort(graph)






