


'''simple docstring'''

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

import numpy
from matplotlib import pyplot

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





def __snake_case (				UpperCAmelCase_						:						complex ,    UpperCAmelCase_						:						numpy.ndarray		):
 return numpy.exp(UpperCAmelCase_		) + c_parameter





def __snake_case (				UpperCAmelCase_						:						complex ,    UpperCAmelCase_						:						numpy.ndarray		):
 return z_values * z_values + c_parameter





def __snake_case (				UpperCAmelCase_						:						float ,    UpperCAmelCase_						:						int		):
 lowerCamelCase_								=  numpy.linspace(-window_size ,    UpperCAmelCase_ ,    UpperCAmelCase_		)
 lowerCamelCase_								=  x.reshape((nb_pixels, 1)		)
 lowerCamelCase_								=  numpy.linspace(-window_size ,    UpperCAmelCase_ ,    UpperCAmelCase_		)
 lowerCamelCase_								=  y.reshape((1, nb_pixels)		)
 return x + 1.0J * y





def __snake_case (				UpperCAmelCase_						:						Callable[[Any, numpy.ndarray], numpy.ndarray] ,    UpperCAmelCase_						:						Any ,    UpperCAmelCase_						:						int ,    UpperCAmelCase_						:						numpy.ndarray ,    UpperCAmelCase_						:						float | None = None ,    ):
 lowerCamelCase_								=  z_a.astype("complex64"		)
 for _ in range(UpperCAmelCase_		):
  lowerCamelCase_								=  eval_function(UpperCAmelCase_ ,    UpperCAmelCase_		)
  if infinity is not None:
   numpy.nan_to_num(UpperCAmelCase_ ,    copy=UpperCAmelCase_ ,    nan=UpperCAmelCase_		)
   lowerCamelCase_								=  infinity
 return z_n





def __snake_case (				UpperCAmelCase_						:						str ,    UpperCAmelCase_						:						Any ,    UpperCAmelCase_						:						float ,    UpperCAmelCase_						:						numpy.ndarray ,    ):
 lowerCamelCase_								=  (abs(UpperCAmelCase_		)).transpose()
 lowerCamelCase_								=  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 (				):
 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_  :    Union[str, Any]      =			prepare_grid(window_size, nb_pixels)

     ignore_overflow_warnings()  # See file header for explanations

     a_  :    str      =			24
     a_  :    str      =			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]      =			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_  :    Optional[Any]      =			2 * abs(c_polynomial_a) + 1
     a_  :    Optional[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)

     a_  :    List[Any]      =			12
     a_  :    List[Any]      =			1_0_0_0_0.0
     a_  :    Dict      =			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)







'''simple docstring'''

import unittest

import numpy as np

from transformers import is_tf_available
from transformers.testing_utils import require_tf


if is_tf_available():
     import tensorflow as tf

     from transformers.activations_tf import get_tf_activation





@require_tf
class 					snake_case   (   unittest.TestCase      ):





  """simple docstring"""




  def   snake_case		(   self					):







   """simple docstring"""
   lowerCamelCase_								=  tf.constant([-100, -1.0, -0.1, 0, 0.1, 1.0, 100.0]					)
   lowerCamelCase_								=  get_tf_activation("gelu"					)
   lowerCamelCase_								=  get_tf_activation("gelu_10"					)

   lowerCamelCase_								=  gelu(UpperCamelCase					)
   lowerCamelCase_								=  geluaa(UpperCamelCase					)

   lowerCamelCase_								=  tf.where(y_gelu_aa < 10.0      ,  1.0      ,  0.0					)

   self.assertEqual(tf.math.reduce_max(UpperCamelCase					).numpy().item()      ,  10.0					)
   self.assertTrue(np.allclose(y_gelu * clipped_mask      ,  y_gelu_aa * clipped_mask					)					)







  def   snake_case		(   self					):







   """simple docstring"""
   get_tf_activation("gelu"					)
   get_tf_activation("gelu_10"					)
   get_tf_activation("gelu_fast"					)
   get_tf_activation("gelu_new"					)
   get_tf_activation("glu"					)
   get_tf_activation("mish"					)
   get_tf_activation("quick_gelu"					)
   get_tf_activation("relu"					)
   get_tf_activation("sigmoid"					)
   get_tf_activation("silu"					)
   get_tf_activation("swish"					)
   get_tf_activation("tanh"					)
   with self.assertRaises(UpperCamelCase					):
    get_tf_activation("bogus"					)
   with self.assertRaises(UpperCamelCase					):
    get_tf_activation(UpperCamelCase					)



