import colorsys

from PIL import Image  # type: ignore



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	float			,					__UpperCamelCase   :	float			,					__UpperCamelCase   :	int     )							-> float:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				x
  SCREAMING_SNAKE_CASE__      							=				y
  for step in range(__UpperCamelCase     ):  # noqa: B007
    SCREAMING_SNAKE_CASE__      							=				a * a - b * b + x
    SCREAMING_SNAKE_CASE__      							=				2 * a * b + y
    SCREAMING_SNAKE_CASE__      							=				a_new

    # divergence happens for all complex number with an absolute value
    # greater than 4
    if a * a + b * b > 4:
      break
  return step / (max_step - 1)



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	float     )							-> tuple:







  """simple docstring"""





  if distance == 1:
    return (0, 0, 0)
  else:
    return (2_55, 2_55, 2_55)



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	float     )							-> tuple:







  """simple docstring"""





  if distance == 1:
    return (0, 0, 0)
  else:
    return tuple(round(i * 2_55     ) for i in colorsys.hsv_to_rgb(__UpperCamelCase			,					1			,					1     )     )



def      __SCREAMING_SNAKE_CASE  ( __UpperCamelCase   :	int = 8_00			,					__UpperCamelCase   :	int = 6_00			,					__UpperCamelCase   :	float = -0.6			,					__UpperCamelCase   :	float = 0			,					__UpperCamelCase   :	float = 3.2			,					__UpperCamelCase   :	int = 50			,					__UpperCamelCase   :	bool = True			,					)							-> Image.Image:







  """simple docstring"""





  SCREAMING_SNAKE_CASE__      							=				Image.new("""RGB"""			,					(image_width, image_height)     )
  SCREAMING_SNAKE_CASE__      							=				img.load()

  # loop through the image-coordinates
  for image_x in range(__UpperCamelCase     ):
    for image_y in range(__UpperCamelCase     ):
      # determine the figure-coordinates based on the image-coordinates
      SCREAMING_SNAKE_CASE__      							=				figure_width / image_width * image_height
      SCREAMING_SNAKE_CASE__      							=				figure_center_x + (image_x / image_width - 0.5) * figure_width
      SCREAMING_SNAKE_CASE__      							=				figure_center_y + (image_y / image_height - 0.5) * figure_height

      SCREAMING_SNAKE_CASE__      							=				get_distance(__UpperCamelCase			,					__UpperCamelCase			,					__UpperCamelCase     )

      # color the corresponding pixel based on the selected coloring-function
      if use_distance_color_coding:
        SCREAMING_SNAKE_CASE__      							=				get_color_coded_rgb(__UpperCamelCase     )
      else:
        SCREAMING_SNAKE_CASE__      							=				get_black_and_white_rgb(__UpperCamelCase     )

  return img


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   # colored version, full figure
   __lowerCamelCase      :			int							       =		get_image()

   # uncomment for colored version, different section, zoomed in
   # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
   # figure_width = 0.8)

   # uncomment for black and white version, full figure
   # img = get_image(use_distance_color_coding = False)

   # uncomment to save the image
   # img.save("mandelbrot.png")

   img.show()

import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
   from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
   from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
   from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


__lowerCamelCase      :			Tuple							       =		DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

__lowerCamelCase      :			Optional[Any]							       =		'''main'''
# Default branch name
__lowerCamelCase      :			Optional[int]							       =		'''f2c752cfc5c0ab6f4bdec59acea69eefbee381c2'''
# One particular commit (not the top of `main`)
__lowerCamelCase      :			Any							       =		'''aaaaaaa'''
# This commit does not exist, so we should 404.

__lowerCamelCase      :			List[str]							       =		'''d9e9f15bc825e4b2c9249e9578f884bbcb5e3684'''
# Sha-1 of config.json on the top of `main`, for checking purposes
__lowerCamelCase      :			List[Any]							       =		'''4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3'''



@contextlib.contextmanager
def      __SCREAMING_SNAKE_CASE  ( )							-> str:







  """simple docstring"""





  print("""Welcome!"""     )
  yield
  print("""Bye!"""     )



@contextlib.contextmanager
def      __SCREAMING_SNAKE_CASE  ( )							-> Any:







  """simple docstring"""





  print("""Bonjour!"""     )
  yield
  print("""Au revoir!"""     )







class __snake_case    (						unittest.TestCase		):




   def      __a						(   self      :    List[Any]				):



     """simple docstring"""






     assert transformers.__spec__ is not None
     assert importlib.util.find_spec("""transformers"""				) is not None







class __snake_case    (						unittest.TestCase		):




   @unittest.mock.patch("""sys.stdout"""	,     new_callable=io.StringIO				)
   def      __a						(   self      :    List[str]	,     _lowercase      :    str				):



     """simple docstring"""






     with ContextManagers([]				):
       print("""Transformers are awesome!"""				)
     # The print statement adds a new line at the end of the output
     self.assertEqual(mock_stdout.getvalue()	,     """Transformers are awesome!\n"""				)




   @unittest.mock.patch("""sys.stdout"""	,     new_callable=io.StringIO				)
   def      __a						(   self      :    Optional[Any]	,     _lowercase      :    str				):



     """simple docstring"""






     with ContextManagers([context_en()]				):
       print("""Transformers are awesome!"""				)
     # The output should be wrapped with an English welcome and goodbye
     self.assertEqual(mock_stdout.getvalue()	,     """Welcome!\nTransformers are awesome!\nBye!\n"""				)




   @unittest.mock.patch("""sys.stdout"""	,     new_callable=io.StringIO				)
   def      __a						(   self      :    Tuple	,     _lowercase      :    Dict				):



     """simple docstring"""






     with ContextManagers([context_fr(), context_en()]				):
       print("""Transformers are awesome!"""				)
     # The output should be wrapped with an English and French welcome and goodbye
     self.assertEqual(mock_stdout.getvalue()	,     """Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n"""				)




   @require_torch
   def      __a						(   self      :    Union[str, Any]				):



     """simple docstring"""






     self.assertEqual(find_labels(_lowercase				)	,     ["""labels"""]				)
     self.assertEqual(find_labels(_lowercase				)	,     ["""labels""", """next_sentence_label"""]				)
     self.assertEqual(find_labels(_lowercase				)	,     ["""start_positions""", """end_positions"""]				)







     class __snake_case    (						lowerCamelCase_		):
        pass





     self.assertEqual(find_labels(_lowercase				)	,     ["""labels"""]				)




   @require_tf
   def      __a						(   self      :    Any				):



     """simple docstring"""






     self.assertEqual(find_labels(_lowercase				)	,     ["""labels"""]				)
     self.assertEqual(find_labels(_lowercase				)	,     ["""labels""", """next_sentence_label"""]				)
     self.assertEqual(find_labels(_lowercase				)	,     ["""start_positions""", """end_positions"""]				)







     class __snake_case    (						lowerCamelCase_		):
        pass





     self.assertEqual(find_labels(_lowercase				)	,     ["""labels"""]				)




   @require_flax
   def      __a						(   self      :    Union[str, Any]				):



     """simple docstring"""






     self.assertEqual(find_labels(_lowercase				)	,     []				)
     self.assertEqual(find_labels(_lowercase				)	,     []				)
     self.assertEqual(find_labels(_lowercase				)	,     []				)







     class __snake_case    (						lowerCamelCase_		):
        pass





     self.assertEqual(find_labels(_lowercase				)	,     []				)
