


"""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,
)


A_			  =    AttentionProcessor
class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		str				,			*UpperCamelCase_:		int				,			**UpperCamelCase_:		List[str]					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		Dict				,			*UpperCamelCase_:		int				,			**UpperCamelCase_:		Any					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		str				,			*UpperCamelCase_:		Dict				,			**UpperCamelCase_:		Tuple					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		Tuple				,			*UpperCamelCase_:		Dict				,			**UpperCamelCase_:		Dict					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		Tuple				,			*UpperCamelCase_:		int				,			**UpperCamelCase_:		int					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		int				,			*UpperCamelCase_:		Tuple				,			**UpperCamelCase_:		Union[str, Any]					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		Optional[Any]				,			*UpperCamelCase_:		List[str]				,			**UpperCamelCase_:		Optional[Any]					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)




class 						__lowerCAmelCase   (			snake_case__       ):







  '''simple docstring'''


  def __init__(      self:		Tuple				,			*UpperCamelCase_:		Optional[Any]				,			**UpperCamelCase_:		List[Any]					):
     UpperCamelCase_     =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"				,			__snake_case				,			standard_warn=__snake_case					)
     super().__init__(*__snake_case				,			**__snake_case					)








"""simple docstring"""






from __future__ import annotations

from pathlib import Path




def 						_UpperCamelCase			(  A    ,       A			):
   return pointa[0] * pointa[1] - pointa[1] * pointa[0]




def 						_UpperCamelCase			(  A    ,       A    ,       A    ,       A    ,       A    ,       A			):
   UpperCamelCase_     =(xa, ya)
   UpperCamelCase_     =(xa - xa, ya - ya)
   UpperCamelCase_     =(xa - xa, ya - ya)
   UpperCamelCase_     =-vector_product(A    ,       A			) / vector_product(
       A    ,       A			)
   UpperCamelCase_     =+vector_product(A    ,       A			) / vector_product(
       A    ,       A			)

   return a > 0 and b > 0 and a + b < 1




def 						_UpperCamelCase			(  A = "p102_triangles.txt"			):
   UpperCamelCase_     =Path(A			).parent.joinpath(A			).read_text(encoding="utf-8"			)

   UpperCamelCase_     =[]
   for line in data.strip().split("\n"			):
      triangles.append([int(A			) for number in line.split(","			)]			)

   UpperCamelCase_     =0
   UpperCamelCase_     =42

   for triangle in triangles:
      ret += contains_origin(*A			)

   return ret


if __name__ == "__main__":
    print(f'''{solution() = }''')
