



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

import numpy
from matplotlib import pyplot

A__						:						List[str]          =      0.2_5 + 0.0J
A__						:						Optional[Any]          =      -0.4 + 0.6J
A__						:						int          =      -0.1 + 0.651J
A__						:						int          =      -2.0
A__						:						Tuple          =      56
A__						:						str          =      2.0
A__						:						Optional[Any]          =      666


def     UpperCamelCase(						__UpperCamelCase							:	complex  ,__UpperCamelCase							:	numpy.ndarray				):
		return numpy.exp(__UpperCamelCase				) + c_parameter


def     UpperCamelCase(						__UpperCamelCase							:	complex  ,__UpperCamelCase							:	numpy.ndarray				):
		return z_values * z_values + c_parameter


def     UpperCamelCase(						__UpperCamelCase							:	float  ,__UpperCamelCase							:	int				):
		lowerCAmelCase_    :  List[Any]             =				numpy.linspace(-window_size  ,__UpperCamelCase  ,__UpperCamelCase				)
		lowerCAmelCase_    :  List[Any]             =				x.reshape((nb_pixels, 1)				)
		lowerCAmelCase_    :  List[Any]             =				numpy.linspace(-window_size  ,__UpperCamelCase  ,__UpperCamelCase				)
		lowerCAmelCase_    :  List[str]             =				y.reshape((1, nb_pixels)				)
		return x + 1.0j * y


def     UpperCamelCase(						__UpperCamelCase							:	Callable[[Any, numpy.ndarray], numpy.ndarray]  ,__UpperCamelCase							:	Any  ,__UpperCamelCase							:	int  ,__UpperCamelCase							:	numpy.ndarray  ,__UpperCamelCase							:	float | None = None  ,):
		lowerCAmelCase_    :  List[str]             =				z_a.astype('''complex64'''				)
		for _ in range(__UpperCamelCase				):
				lowerCAmelCase_    :  List[Any]             =				eval_function(__UpperCamelCase  ,__UpperCamelCase				)
				if infinity is not None:
						numpy.nan_to_num(__UpperCamelCase  ,copy=__UpperCamelCase  ,nan=__UpperCamelCase				)
						lowerCAmelCase_    :  Tuple             =				infinity
		return z_n


def     UpperCamelCase(						__UpperCamelCase							:	str  ,__UpperCamelCase							:	Any  ,__UpperCamelCase							:	float  ,__UpperCamelCase							:	numpy.ndarray  ,):
		lowerCAmelCase_    :  Optional[Any]             =				(abs(__UpperCamelCase				)).transpose()
		lowerCAmelCase_    :  Tuple             =				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     UpperCamelCase(						):
		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__":
						A__						:						List[Any]          =      prepare_grid(window_size, nb_pixels)

						ignore_overflow_warnings()  # See file header for explanations

						A__						:						str          =      24
						A__						:						Optional[int]          =      2 * abs(c_cauliflower) + 1
						A__						:						Dict          =      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__						:						List[str]          =      64
						A__						:						Any          =      2 * abs(c_polynomial_a) + 1
						A__						:						List[str]          =      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__						:						List[Any]          =      161
						A__						:						Tuple          =      2 * abs(c_polynomial_a) + 1
						A__						:						List[str]          =      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          =      12
						A__						:						Optional[Any]          =      1_0_0_0_0.0
						A__						:						Optional[Any]          =      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 warnings

from ...utils import logging
from .image_processing_detr import DetrImageProcessor


A__						:						str          =      logging.get_logger(__name__)



class        __snake_case		(  UpperCamelCase_		):




							def __init__( self  : Union[str, Any]       ,       *A_  : int       ,       **A_  : List[str]):
									warnings.warn(
									    '''The class DetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
									    ''' Please use DetrImageProcessor instead.'''       ,       A_       ,       )
									super().__init__(*A_       ,       **A_)





