code: 
  """simple docstring"""
  
  
  
  
  
  import unittest
  from pathlib import Path
  
  from transformers import is_vision_available, load_tool
  from transformers.testing_utils import get_tests_dir
  
  from .test_tools_common import ToolTesterMixin
  
  
  if is_vision_available():
      from PIL import Image
  
  
  class A_			(unittest.TestCase       ,lowercase__   ):
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Dict      =					load_tool("image-segmentation"						)
       self.tool.setup()
       UpperCAmelCase_      :      str      =					load_tool("image-segmentation"       ,     remote=lowercase_						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Optional[Any]      =					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"						)						) / "000000039769.png"						)
       UpperCAmelCase_      :      Optional[int]      =					self.tool(lowercase_       ,     "cat"						)
       self.assertTrue(isinstance(lowercase_       ,     Image.Image						)						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Union[str, Any]      =					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"						)						) / "000000039769.png"						)
       UpperCAmelCase_      :      Optional[int]      =					self.remote_tool(lowercase_       ,     "cat"						)
       self.assertTrue(isinstance(lowercase_       ,     Image.Image						)						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Tuple      =					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"						)						) / "000000039769.png"						)
       UpperCAmelCase_      :      Optional[Any]      =					self.tool(image=lowercase_       ,     label="cat"						)
       self.assertTrue(isinstance(lowercase_       ,     Image.Image						)						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Optional[int]      =					Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"						)						) / "000000039769.png"						)
       UpperCAmelCase_      :      Tuple      =					self.remote_tool(image=lowercase_       ,     label="cat"						)
       self.assertTrue(isinstance(lowercase_       ,     Image.Image						)						)
  
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  from string import ascii_uppercase
  
  
  
  
  
  
  
  def 			__a  (	__lowerCamelCase,	__lowerCamelCase,	__lowerCamelCase = False,	__lowerCamelCase = ascii_uppercase						):
     UpperCAmelCase_      :      List[str]      =					keyword.upper()
     UpperCAmelCase_      :      str      =					plaintext.upper()
     UpperCAmelCase_      :      Tuple      =					set(__lowerCamelCase						)
  
     # create a list of unique characters in the keyword - their order matters
     # it determines how we will map plaintext characters to the ciphertext
     UpperCAmelCase_      :      Tuple      =					[]
     for char in keyword:
        if char in alphabet_set and char not in unique_chars:
           unique_chars.append(__lowerCamelCase						)
      # the number of those unique characters will determine the number of rows
     UpperCAmelCase_      :      Union[str, Any]      =					len(__lowerCamelCase						)
  
     # create a shifted version of the alphabet
     UpperCAmelCase_      :      Tuple      =					unique_chars + [
         char for char in alphabet if char not in unique_chars
     ]
  
     # create a modified alphabet by splitting the shifted alphabet into rows
     UpperCAmelCase_      :      List[str]      =					[
         shifted_alphabet[k : k + num_unique_chars_in_keyword]
         for k in range(0,	26,	__lowerCamelCase						)
     ]
  
     # map the alphabet characters to the modified alphabet characters
     # going 'vertically' through the modified alphabet - consider columns first
     UpperCAmelCase_      :      Tuple      =					{}
     UpperCAmelCase_      :      Dict      =					0
     for column in range(__lowerCamelCase						):
        for row in modified_alphabet:
           # if current row (the last one) is too short, break out of loop
           if len(__lowerCamelCase						) <= column:
              break
  
           # map current letter to letter in modified alphabet
           UpperCAmelCase_      :      Tuple      =					row[column]
           letter_index += 1
  
     if verbose:
        print(__lowerCamelCase						)
     # create the encrypted text by mapping the plaintext to the modified alphabet
     return "".join(mapping[char] if char in mapping else char for char in plaintext						)
  
  
  if __name__ == "__main__":
      # example use
      print(mixed_keyword('college', 'UNIVERSITY'))
  
  
  