'''simple docstring'''

_lowerCamelCase :				Any														= float("""inf""")




class    lowerCamelCase__  :



   def __init__(    self					,      lowerCAmelCase__     )				->     int:
        """simple docstring"""





        _UpperCamelCase  :str       =[0] * n
        _UpperCamelCase  :Optional[Any]       =[0] * n
        _UpperCamelCase  :Optional[int]       =[0] * n
        _UpperCamelCase  :Optional[int]       =[[] for _ in range(lowerCamelCase__     )]



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__					,      lowerCAmelCase__					,      lowerCAmelCase__=0     )				->     int:
        """simple docstring"""





        self.adj[a].append([b, len(self.adj[b]     ), c, 0]     )
        self.adj[b].append([a, len(self.adj[a]     ) - 1, rcap, 0]     )



   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     str:
        """simple docstring"""





        if vertex == sink or not flow:
             return flow

        for i in range(self.ptr[vertex]					,      len(self.adj[vertex]     )     ):
             _UpperCamelCase  :str       =self.adj[vertex][i]
             if self.lvl[e[0]] == self.lvl[vertex] + 1:
                  _UpperCamelCase  :List[str]       =self.depth_first_search(e[0]					,      lowerCamelCase__					,      min(lowerCamelCase__					,      e[2] - e[3]     )     )
                  if p:
                       self.adj[vertex][i][3] += p
                       self.adj[e[0]][e[1]][3] -= p
                       return p
             _UpperCamelCase  :List[str]       =self.ptr[vertex] + 1
        return 0




   def  _UpperCamelCase		(    self					,      lowerCAmelCase__					,      lowerCAmelCase__     )				->     Tuple:
        """simple docstring"""





        _UpperCamelCase  :int       =0, source
        for l in range(31     ):  # noqa: E741  l = 30 maybe faster for random data
             while True:
                  _UpperCamelCase  :Tuple       =[0] * len(self.q     ), [0] * len(self.q     )
                  _UpperCamelCase  :List[str]       =0, 1, 1
                  while qi < qe and not self.lvl[sink]:
                       _UpperCamelCase  :Union[str, Any]       =self.q[qi]
                       qi += 1
                       for e in self.adj[v]:
                            if not self.lvl[e[0]] and (e[2] - e[3]) >> (30 - l):
                                 _UpperCamelCase  :Optional[int]       =e[0]
                                 qe += 1
                                 _UpperCamelCase  :Tuple       =self.lvl[v] + 1

                  _UpperCamelCase  :List[str]       =self.depth_first_search(lowerCamelCase__					,      lowerCamelCase__					,      lowerCamelCase__     )
                  while p:
                       flow += p
                       _UpperCamelCase  :Dict       =self.depth_first_search(lowerCamelCase__					,      lowerCamelCase__					,      lowerCamelCase__     )

                  if not self.lvl[sink]:
                       break

        return flow




_lowerCamelCase :				Union[str, Any]														= Dinic(10)
_lowerCamelCase :				Optional[int]														= 0
_lowerCamelCase :				List[str]														= 9
for vertex in range(1, 5):
      graph.add_edge(source, vertex, 1)
for vertex in range(5, 9):
      graph.add_edge(vertex, sink, 1)
for vertex in range(1, 5):
      graph.add_edge(vertex, vertex + 4, 1)

# Now we can know that is the maximum flow(source -> sink)
print(graph.max_flow(source, sink))



'''simple docstring'''


from ..utils import deprecate
from .attention_processor import (  # noqa: F401
    Attention,
    AttentionProcessor,
    AttnAddedKVProcessor,
    AttnProcessor2_0,
    LoRAAttnProcessor,
    LoRALinearLayer,
    LoRAXFormersAttnProcessor,
    SlicedAttnAddedKVProcessor,
    SlicedAttnProcessor,
    XFormersAttnProcessor,
)
from .attention_processor import AttnProcessor as AttnProcessorRename  # noqa: F401


deprecate(
    'cross_attention',
    '0.20.0',
    'Importing from cross_attention is deprecated. Please import from diffusers.models.attention_processor instead.',
    standard_warn=False,
)


lowerCamelCase__     						=  AttentionProcessor






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  Union[str, Any]						,	*lowerCamelCase__	:  int						,	**lowerCamelCase__	:  List[str]			) ->Any:



					'''simple docstring'''







					_UpperCAmelCase		:							Dict             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  Optional[Any]						,	*lowerCamelCase__	:  Any						,	**lowerCamelCase__	:  Tuple			) ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  List[Any]						,	*lowerCamelCase__	:  List[Any]						,	**lowerCamelCase__	:  List[str]			) ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase		:							List[str]             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  int						,	*lowerCamelCase__	:  Tuple						,	**lowerCamelCase__	:  Union[str, Any]			) ->int:



					'''simple docstring'''







					_UpperCAmelCase		:							Dict             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  int						,	*lowerCamelCase__	:  List[str]						,	**lowerCamelCase__	:  Tuple			) ->Union[str, Any]:



					'''simple docstring'''







					_UpperCAmelCase		:							Optional[Any]             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  List[Any]						,	*lowerCamelCase__	:  int						,	**lowerCamelCase__	:  Optional[int]			) ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase		:							List[Any]             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  Any						,	*lowerCamelCase__	:  Optional[Any]						,	**lowerCamelCase__	:  Union[str, Any]			) ->List[str]:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)






class 						lowerCAmelCase__      (      UpperCAmelCase__						):




			def __init__(		self	:  Optional[Any]						,	*lowerCamelCase__	:  List[Any]						,	**lowerCamelCase__	:  Dict			) ->Any:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   F"""{self.__class__.__name__} is deprecated and will be removed in `0.20.0`. Please use `from diffusers.models.attention_processor import {''.join(self.__class__.__name__.split('Cross'			)			)} instead."""
					deprecate("cross_attention"						,	"0.20.0"						,	lowerCamelCase__						,	standard_warn=lowerCamelCase__			)
					super().__init__(*lowerCamelCase__						,	**lowerCamelCase__			)



