code: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available
  
  
  __snake_case             =	{
      '''configuration_splinter''': ['''SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SplinterConfig'''],
      '''tokenization_splinter''': ['''SplinterTokenizer'''],
  }
  
  try:
      if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __snake_case             =	['''SplinterTokenizerFast''']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      __snake_case             =	[
          '''SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''SplinterForQuestionAnswering''',
          '''SplinterForPreTraining''',
          '''SplinterLayer''',
          '''SplinterModel''',
          '''SplinterPreTrainedModel''',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
      from .tokenization_splinter import SplinterTokenizer
  
      try:
          if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .tokenization_splinter_fast import SplinterTokenizerFast
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_splinter import (
              SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
              SplinterForPreTraining,
              SplinterForQuestionAnswering,
              SplinterLayer,
              SplinterModel,
              SplinterPreTrainedModel,
          )
  
  
  else:
      import sys
  
      __snake_case             =	_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
  
  
  
style_context: 
  
  
  import warnings
  from collections.abc import Callable
  from typing import Any
  
  import numpy
  from matplotlib import pyplot
  
  __snake_case             =	0.25 + 0.0j
  __snake_case             =	-0.4 + 0.6j
  __snake_case             =	-0.1 + 0.6_51j
  __snake_case             =	-2.0
  __snake_case             =	5_6
  __snake_case             =	2.0
  __snake_case             =	6_6_6
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       return numpy.exp(_lowercase   ) + c_parameter
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       return z_values * z_values + c_parameter
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase   )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = numpy.linspace(-window_size				,     _lowercase				,     _lowercase   )
       __UpperCamelCase   = x.reshape((nb_pixels, 1)   )
       __UpperCamelCase   = numpy.linspace(-window_size				,     _lowercase				,     _lowercase   )
       __UpperCamelCase   = y.reshape((1, nb_pixels)   )
       return x + 1.0J * y
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase				,     _lowercase				,     _lowercase				,     _lowercase = None				,     )				->   numpy.ndarray:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = z_a.astype('complex64'   )
       for _ in range(_lowercase   ):
            __UpperCamelCase   = eval_function(_lowercase				,     _lowercase   )
            if infinity is not None:
                 numpy.nan_to_num(_lowercase				,     copy=_lowercase				,     nan=_lowercase   )
                 __UpperCamelCase   = infinity
       return z_n
  
  
  
  
  
  
  def 		_A		(		_lowercase				,     _lowercase				,     _lowercase				,     _lowercase				,     )				->   None:
  
  
       """simple docstring"""
  
  
       __UpperCamelCase   = (abs(_lowercase   )).transpose()
       __UpperCamelCase   = 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 		_A		(		)				->   None:
  
  
       """simple docstring"""
  
  
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in multiply'   )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='invalid value encountered in multiply'				,     )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in absolute'   )
       warnings.filterwarnings(
           'ignore'				,     category=_lowercase				,     message='overflow encountered in exp'   )
  
  
  if __name__ == "__main__":
      __snake_case             =	prepare_grid(window_size, nb_pixels)
  
      ignore_overflow_warnings()  # See file header for explanations
  
      __snake_case             =	2_4
      __snake_case             =	2 * abs(c_cauliflower) + 1
      __snake_case             =	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)
  
      __snake_case             =	6_4
      __snake_case             =	2 * abs(c_polynomial_a) + 1
      __snake_case             =	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)
  
      __snake_case             =	1_6_1
      __snake_case             =	2 * abs(c_polynomial_a) + 1
      __snake_case             =	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)
  
      __snake_case             =	1_2
      __snake_case             =	10_000.0
      __snake_case             =	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)
  
  
  