



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 		_snake_case      (			unittest.TestCase					,A_				):





 """simple docstring"""



 def lowercase_		(						self					)	->							Any:




   """simple docstring"""







   _A           =    load_tool('''image-segmentation'''					)
   self.tool.setup()
   _A           =    load_tool('''image-segmentation'''	,    remote=a					)
 def lowercase_		(						self					)	->							Union[str, Any]:




   """simple docstring"""







   _A           =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
   _A           =    self.tool(a	,    '''cat'''					)
   self.assertTrue(isinstance(a	,    Image.Image					)					)
 def lowercase_		(						self					)	->							List[str]:




   """simple docstring"""







   _A           =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
   _A           =    self.remote_tool(a	,    '''cat'''					)
   self.assertTrue(isinstance(a	,    Image.Image					)					)
 def lowercase_		(						self					)	->							str:




   """simple docstring"""







   _A           =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
   _A           =    self.tool(image=a	,    label='''cat'''					)
   self.assertTrue(isinstance(a	,    Image.Image					)					)



 def lowercase_		(						self					)	->							Union[str, Any]:




   """simple docstring"""







   _A           =    Image.open(Path(get_tests_dir('''fixtures/tests_samples/COCO'''					)					) / '''000000039769.png'''					)
   _A           =    self.remote_tool(image=a	,    label='''cat'''					)
   self.assertTrue(isinstance(a	,    Image.Image					)					)




def     UpperCAmelCase__ (							__snake_case						,				__snake_case = 1_000							)   -> str:
  if (not isinstance(__snake_case						,				__snake_case							)) or (digit_position <= 0):
    raise ValueError('''Digit position must be a positive integer'''							)
  elif (not isinstance(__snake_case						,				__snake_case							)) or (precision < 0):
    raise ValueError('''Precision must be a nonnegative integer'''							)

  # compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
  # accurate
  _A           =    (
      4 * _subsum(__snake_case						,				1						,				__snake_case							)
      - 2 * _subsum(__snake_case						,				4						,				__snake_case							)
      - _subsum(__snake_case						,				5						,				__snake_case							)
      - _subsum(__snake_case						,				6						,				__snake_case							)
  )

  # return the first hex digit of the fractional part of the result
  return hex(int((sum_result % 1) * 16							)							)[2:]




def     UpperCAmelCase__ (							__snake_case						,				__snake_case						,				__snake_case							)   -> float:
  _A           =    0.0
  for sum_index in range(digit_pos_to_extract + precision							):
    _A           =    8 * sum_index + denominator_addend
    if sum_index < digit_pos_to_extract:
      # if the exponential term is an integer and we mod it by the denominator
      # before dividing, only the integer part of the sum will change;
      # the fractional part will not
      _A           =    pow(
          16						,				digit_pos_to_extract - 1 - sum_index						,				__snake_case							)
    else:
      _A           =    pow(16						,				digit_pos_to_extract - 1 - sum_index							)
    total += exponential_term / denominator
  return total


if __name__ == "__main__":
    import doctest

    doctest.testmod()