
"""simple docstring"""







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

import numpy
from matplotlib import pyplot

lowercase_						    =					0.25 + 0.0J
lowercase_						    =					-0.4 + 0.6J
lowercase_						    =					-0.1 + 0.651J
lowercase_						    =					-2.0
lowercase_						    =					56
lowercase_						    =					2.0
lowercase_						    =					666




def 			A_			(					lowercase						, lowercase      )     ->							numpy.ndarray:


     """simple docstring"""







     return numpy.exp(__lowerCAmelCase      ) + 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_						:    Dict    					=  numpy.linspace(-window_size						, __lowerCAmelCase						, __lowerCAmelCase      )
     UpperCAmelCase_						:    Union[str, Any]    					=  x.reshape((nb_pixels, 1)      )
     UpperCAmelCase_						:    Optional[int]    					=  numpy.linspace(-window_size						, __lowerCAmelCase						, __lowerCAmelCase      )
     UpperCAmelCase_						:    Union[str, Any]    					=  y.reshape((1, nb_pixels)      )
     return x + 1.0J * y




def 			A_			(					lowercase						, lowercase						, lowercase						, lowercase						, lowercase = None						, )     ->							numpy.ndarray:


     """simple docstring"""







     UpperCAmelCase_						:    Any    					=  z_a.astype("""complex64"""      )
     for _ in range(__lowerCAmelCase      ):
          UpperCAmelCase_						:    Dict    					=  eval_function(__lowerCAmelCase						, __lowerCAmelCase      )
          if infinity is not None:
               numpy.nan_to_num(__lowerCAmelCase						, copy=__lowerCAmelCase						, nan=__lowerCAmelCase      )
               UpperCAmelCase_						:    List[Any]    					=  infinity
     return z_n




def 			A_			(					lowercase						, lowercase						, lowercase						, lowercase						, )     ->							None:


     """simple docstring"""







     UpperCAmelCase_						:    Union[str, Any]    					=  (abs(__lowerCAmelCase      )).transpose()
     UpperCAmelCase_						:    Optional[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 			A_			(					)     ->							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__":
  lowercase_						    =					prepare_grid(window_size, nb_pixels)

  ignore_overflow_warnings()  # See file header for explanations

  lowercase_						    =					24
  lowercase_						    =					2 * abs(c_cauliflower) + 1
  lowercase_						    =					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)

  lowercase_						    =					64
  lowercase_						    =					2 * abs(c_polynomial_a) + 1
  lowercase_						    =					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)

  lowercase_						    =					161
  lowercase_						    =					2 * abs(c_polynomial_a) + 1
  lowercase_						    =					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)

  lowercase_						    =					12
  lowercase_						    =					1_0000.0
  lowercase_						    =					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"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_						    =					{"configuration_visual_bert": ["VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "VisualBertConfig"]}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_						    =					[
           "VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST",
           "VisualBertForMultipleChoice",
           "VisualBertForPreTraining",
           "VisualBertForQuestionAnswering",
           "VisualBertForRegionToPhraseAlignment",
           "VisualBertForVisualReasoning",
           "VisualBertLayer",
           "VisualBertModel",
           "VisualBertPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_visual_bert import VISUAL_BERT_PRETRAINED_CONFIG_ARCHIVE_MAP, VisualBertConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_visual_bert import (
                  VISUAL_BERT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  VisualBertForMultipleChoice,
                  VisualBertForPreTraining,
                  VisualBertForQuestionAnswering,
                  VisualBertForRegionToPhraseAlignment,
                  VisualBertForVisualReasoning,
                  VisualBertLayer,
                  VisualBertModel,
                  VisualBertPreTrainedModel,
              )


else:
       import sys

       lowercase_						    =					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

