
'''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__		: List[str]  							=							AttentionProcessor


class 			UpperCamelCase__	(     snake_case__):






 def __init__(      self	:Tuple						,					*_A	:Tuple						,					**_A	:Dict      )					->      Optional[Any]:







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






 def __init__(      self	:Tuple						,					*_A	:Tuple						,					**_A	:int      )					->      str:







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






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







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






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







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






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







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






 def __init__(      self	:Dict						,					*_A	:Tuple						,					**_A	:List[Any]      )					->      List[str]:







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






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







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )


class 			UpperCamelCase__	(     snake_case__):






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







       '''simple docstring'''



       __A													=      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'						,					_A						,					standard_warn=_A      )
       super().__init__(*_A						,					**_A      )












from __future__ import annotations

from pathlib import Path







def       _a (		SCREAMING_SNAKE_CASE_				:							tuple[int, int] , SCREAMING_SNAKE_CASE_				:							tuple[int, int]	):
					return pointa[0] * pointa[1] - pointa[1] * pointa[0]







def       _a (		SCREAMING_SNAKE_CASE_				:							int , SCREAMING_SNAKE_CASE_				:							int , SCREAMING_SNAKE_CASE_				:							int , SCREAMING_SNAKE_CASE_				:							int , SCREAMING_SNAKE_CASE_				:							int , SCREAMING_SNAKE_CASE_				:							int	):
					__lowerCAmelCase							  =			(xa, ya)
					__lowerCAmelCase							  =			(xa - xa, ya - ya)
					__lowerCAmelCase							  =			(xa - xa, ya - ya)
					__lowerCAmelCase							  =			-vector_product(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_	) / vector_product(
					    SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_	)
					__lowerCAmelCase							  =			+vector_product(SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_	) / vector_product(
					    SCREAMING_SNAKE_CASE_ , SCREAMING_SNAKE_CASE_	)

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







def       _a (		SCREAMING_SNAKE_CASE_				:							str = "p102_triangles.txt"	):
					__lowerCAmelCase							  =			Path(SCREAMING_SNAKE_CASE_	).parent.joinpath(SCREAMING_SNAKE_CASE_	).read_text(encoding="utf-8"	)

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

					__lowerCAmelCase							  =			0
					__lowerCAmelCase							  =			42

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

					return ret


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




