



'''simple docstring'''






import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

A_				:					str							=      0.25 + 0.0J
A_				:					Dict							=      -0.4 + 0.6J
A_				:					Dict							=      -0.1 + 0.651J
A_				:					List[Any]							=      -2.0
A_				:					Any							=      5_6
A_				:					str							=      2.0
A_				:					int							=      6_6_6




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       return numpy.exp(lowerCAmelCase_						) + c_parameter




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       return z_values * z_values + c_parameter




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_						)->						numpy.ndarray:





       '''simple docstring'''


       _UpperCAmelCase    :		str     	=					numpy.linspace(-window_size			,  lowerCAmelCase_			,  lowerCAmelCase_						)
       _UpperCAmelCase    :		Dict     	=					x.reshape((nb_pixels, 1)						)
       _UpperCAmelCase    :		int     	=					numpy.linspace(-window_size			,  lowerCAmelCase_			,  lowerCAmelCase_						)
       _UpperCAmelCase    :		Union[str, Any]     	=					y.reshape((1, nb_pixels)						)
       return x + 1.0j * y




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_ = None			,  )->						numpy.ndarray:





       '''simple docstring'''


       _UpperCAmelCase    :		int     	=					z_a.astype("""complex64"""						)
       for _ in range(lowerCAmelCase_						):
              _UpperCAmelCase    :		List[str]     	=					eval_function(lowerCAmelCase_			,  lowerCAmelCase_						)
              if infinity is not None:
                     numpy.nan_to_num(lowerCAmelCase_			,  copy=lowerCAmelCase_			,  nan=lowerCAmelCase_						)
                     _UpperCAmelCase    :		Union[str, Any]     	=					infinity
       return z_n




def        snake_case_   (	lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  lowerCAmelCase_			,  )->						None:





       '''simple docstring'''


       _UpperCAmelCase    :		Any     	=					(abs(lowerCAmelCase_						)).transpose()
       _UpperCAmelCase    :		List[Any]     	=					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        snake_case_   (	)->						None:





       '''simple docstring'''


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


if __name__ == "__main__":
   A_				:					List[Any]							=      prepare_grid(window_size, nb_pixels)

   ignore_overflow_warnings()  # See file header for explanations

   A_				:					str							=      2_4
   A_				:					Tuple							=      2 * abs(c_cauliflower) + 1
   A_				:					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)

   A_				:					Union[str, Any]							=      6_4
   A_				:					Union[str, Any]							=      2 * abs(c_polynomial_a) + 1
   A_				:					Dict							=      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)

   A_				:					str							=      1_6_1
   A_				:					Optional[int]							=      2 * abs(c_polynomial_a) + 1
   A_				:					Dict							=      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)

   A_				:					Any							=      1_2
   A_				:					List[str]							=      1_0000.0
   A_				:					List[str]							=      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)








import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


UpperCAmelCase :				Union[str, Any]							=logging.get_logger(__name__)


class    _lowercase (a_   ):
				'''simple docstring'''







				lowercase__     =    """speech-encoder-decoder"""
				lowercase__     =    True

				def __init__(			self  ,			**snake_case__     ):

									'''simple docstring'''


									super().__init__(**snake_case__     )
									if "encoder" not in kwargs or "decoder" not in kwargs:
														raise ValueError(
														    F"""A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"""
														    F""" `decoder` sub-configurations are passed, but only {kwargs}"""     )

									UpperCamelCase_			= kwargs.pop("encoder"     )
									UpperCamelCase_			= encoder_config.pop("model_type"     )
									UpperCamelCase_			= kwargs.pop("decoder"     )
									UpperCamelCase_			= decoder_config.pop("model_type"     )

									UpperCamelCase_			= AutoConfig.for_model(snake_case__  ,			**snake_case__     )
									UpperCamelCase_			= AutoConfig.for_model(snake_case__  ,			**snake_case__     )
									UpperCamelCase_			= True

				@classmethod
				def    _lowerCamelCase       (			cls  ,			snake_case__  ,			snake_case__  ,			**snake_case__     ):

									'''simple docstring'''


									logger.info("Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config"     )
									UpperCamelCase_			= True
									UpperCamelCase_			= True

									return cls(encoder=encoder_config.to_dict()  ,			decoder=decoder_config.to_dict()  ,			**snake_case__     )

				def    _lowerCamelCase       (			self     ):

									'''simple docstring'''


									UpperCamelCase_			= copy.deepcopy(self.__dict__     )
									UpperCamelCase_			= self.encoder.to_dict()
									UpperCamelCase_			= self.decoder.to_dict()
									UpperCamelCase_			= self.__class__.model_type
									return output
