


"""simple docstring"""
import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

SCREAMING_SNAKE_CASE					:       Optional[Any]							   =							0.25 + 0.0j
SCREAMING_SNAKE_CASE					:       str							   =							-0.4 + 0.6j
SCREAMING_SNAKE_CASE					:       Any							   =							-0.1 + 0.651j
SCREAMING_SNAKE_CASE					:       Optional[Any]							   =							-2.0
SCREAMING_SNAKE_CASE					:       Any							   =							56
SCREAMING_SNAKE_CASE					:       Any							   =							2.0
SCREAMING_SNAKE_CASE					:       Dict							   =							666






def 						lowercase				(	_snake_case		: str	,  _snake_case		: Union[str, Any]	)	->numpy.ndarray:
	"""simple docstring"""





	return numpy.exp(__UpperCAmelCase	) + c_parameter






def 						lowercase				(	_snake_case		: Any	,  _snake_case		: Optional[int]	)	->numpy.ndarray:
	"""simple docstring"""





	return z_values * z_values + c_parameter






def 						lowercase				(	_snake_case		: List[Any]	,  _snake_case		: Optional[Any]	)	->numpy.ndarray:
	"""simple docstring"""





	__snake_case      :		str         =							numpy.linspace(-window_size	,  __UpperCAmelCase	,  __UpperCAmelCase	)
	__snake_case      :		Tuple         =							x.reshape((nb_pixels, 1)	)
	__snake_case      :		Union[str, Any]         =							numpy.linspace(-window_size	,  __UpperCAmelCase	,  __UpperCAmelCase	)
	__snake_case      :		Optional[int]         =							y.reshape((1, nb_pixels)	)
	return x + 1.0j * y






def 						lowercase				(	_snake_case		: Union[str, Any]	,  _snake_case		: List[str]	,  _snake_case		: Tuple	,  _snake_case		: Dict	,  _snake_case		: Optional[int] = None	,  )	->numpy.ndarray:
	"""simple docstring"""





	__snake_case      :		Any         =							z_a.astype('''complex64'''	)
	for _ in range(__UpperCAmelCase	):
		__snake_case      :		Any         =							eval_function(__UpperCAmelCase	,  __UpperCAmelCase	)
		if infinity is not None:
			numpy.nan_to_num(__UpperCAmelCase	,  copy=__UpperCAmelCase	,  nan=__UpperCAmelCase	)
			__snake_case      :		str         =							infinity
	return z_n






def 						lowercase				(	_snake_case		: Union[str, Any]	,  _snake_case		: Optional[Any]	,  _snake_case		: List[Any]	,  _snake_case		: Dict	,  )	->None:
	"""simple docstring"""





	__snake_case      :		List[str]         =							(abs(__UpperCAmelCase	)).transpose()
	__snake_case      :		int         =							abs_z_final[::-1, :]
	pyplot.matshow(abs_z_final < escape_radius	)
	pyplot.title(f"""Julia set of ${function_label}$, $c={function_params}$"""	)
	pyplot.show()






def 						lowercase				(	)	->None:
	"""simple docstring"""





	warnings.filterwarnings(
	    '''ignore'''	,  category=__UpperCAmelCase	,  message='''overflow encountered in multiply'''	)
	warnings.filterwarnings(
	    '''ignore'''	,  category=__UpperCAmelCase	,  message='''invalid value encountered in multiply'''	,  )
	warnings.filterwarnings(
	    '''ignore'''	,  category=__UpperCAmelCase	,  message='''overflow encountered in absolute'''	)
	warnings.filterwarnings(
	    '''ignore'''	,  category=__UpperCAmelCase	,  message='''overflow encountered in exp'''	)


if __name__ == "__main__":
			SCREAMING_SNAKE_CASE					:       Dict							   =							prepare_grid(window_size, nb_pixels)

			ignore_overflow_warnings()  # See file header for explanations

			SCREAMING_SNAKE_CASE					:       int							   =							24
			SCREAMING_SNAKE_CASE					:       Tuple							   =							2 * abs(c_cauliflower) + 1
			SCREAMING_SNAKE_CASE					:       List[Any]							   =							iterate_function(
			    eval_quadratic_polynomial,
			    c_cauliflower,
			    nb_iterations,
			    z_a,
			    infinity=1.1 * escape_radius,
			)
			show_results("""z^2+c""", c_cauliflower, escape_radius, z_final)

			SCREAMING_SNAKE_CASE					:       List[str]							   =							64
			SCREAMING_SNAKE_CASE					:       Tuple							   =							2 * abs(c_polynomial_a) + 1
			SCREAMING_SNAKE_CASE					:       List[Any]							   =							iterate_function(
			    eval_quadratic_polynomial,
			    c_polynomial_a,
			    nb_iterations,
			    z_a,
			    infinity=1.1 * escape_radius,
			)
			show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

			SCREAMING_SNAKE_CASE					:       Optional[Any]							   =							161
			SCREAMING_SNAKE_CASE					:       int							   =							2 * abs(c_polynomial_a) + 1
			SCREAMING_SNAKE_CASE					:       Optional[int]							   =							iterate_function(
			    eval_quadratic_polynomial,
			    c_polynomial_a,
			    nb_iterations,
			    z_a,
			    infinity=1.1 * escape_radius,
			)
			show_results("""z^2+c""", c_polynomial_a, escape_radius, z_final)

			SCREAMING_SNAKE_CASE					:       Tuple							   =							12
			SCREAMING_SNAKE_CASE					:       int							   =							10_000.0
			SCREAMING_SNAKE_CASE					:       Tuple							   =							iterate_function(
			    eval_exponential,
			    c_exponential,
			    nb_iterations,
			    z_a + 2,
			    infinity=1.0E10,
			)
			show_results("""e^z+c""", c_exponential, escape_radius, z_final)






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,
)


snake_case__						      =			AttentionProcessor



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

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






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Tuple:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					int:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Optional[int]:






           """simple docstring"""
           _lowerCamelCase           =					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					(			__lowercase			):

     '''simple docstring'''

     def __init__(       self					,					*A_					,					**A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					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_    )