
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 					_SCREAMING_SNAKE_CASE  :
    _A						:		List[str]
    _A						:		Optional[str]    	=     None
    # Automatically constructed
    _A						:		ClassVar[str]    	=     "dict"
    _A						:		ClassVar[Any]    	=     None
    _A						:		str    	=     field(default='Translation'       ,					init=__UpperCamelCase       ,					repr=__UpperCamelCase )
    def __call__(			self ):
        return pa.struct({lang: pa.string() for lang in sorted(self.languages )} )



    def A_			(			self ):
        from .features import Value

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





@dataclass
class 					_SCREAMING_SNAKE_CASE  :
    _A						:		Optional[List]    	=     None
    _A						:		Optional[int]    	=     None
    _A						:		Optional[str]    	=     None
    # Automatically constructed
    _A						:		ClassVar[str]    	=     "dict"
    _A						:		ClassVar[Any]    	=     None
    _A						:		str    	=     field(default='TranslationVariableLanguages'       ,					init=__UpperCamelCase       ,					repr=__UpperCamelCase )
    def A_			(			self ):
        snake_case__						=				sorted(set(self.languages ) ) if self.languages else None
        snake_case__						=				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 A_			(			self		,	lowerCamelCase ):
        snake_case__						=				set(self.languages )
        if self.languages and set(lowerCamelCase ) - lang_set:
            raise ValueError(
                F"""Some languages in example ({", ".join(sorted(set(lowerCamelCase ) - lang_set ) )}) are not in valid set ({", ".join(lowerCamelCase )}).""" )

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

        # Ensure translations are in ascending order by language code.
        snake_case__						,					snake_case__						=				zip(*sorted(lowerCamelCase ) )

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



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

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





# A Bipartite Graph is a graph whose vertices can be divided into two independent sets,
# U and V such that every edge (u, v) either connects a vertex from U to V or a vertex
# from V to U. In other words, for every edge (u, v), either u belongs to U and v to V,
# or u belongs to V and v to U. We can also say that there is no edge that connects
# vertices of same set.





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				[False] * len(__lowerCAmelCase							)
    snake_case__						=				[-1] * len(__lowerCAmelCase							)

    def dfs(__lowerCAmelCase    ,		__lowerCAmelCase							):
        snake_case__						=				True
        snake_case__						=				c
        for u in graph[v]:
            if not visited[u]:
                dfs(__lowerCAmelCase    ,		1 - c							)

    for i in range(len(__lowerCAmelCase							)							):
        if not visited[i]:
            dfs(__lowerCAmelCase    ,		0							)

    for i in range(len(__lowerCAmelCase							)							):
        for j in graph[i]:
            if color[i] == color[j]:
                return False

    return True


# Adjacency list of graph
__magic_name__            =  {0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 4: []}





print(check_bipartite_dfs(graph))



