






from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros






def 							lowerCamelCase__ (       __lowerCamelCase     :	int    ,						__lowerCamelCase     :	Tuple						):
  __UpperCAmelCase				:      Union[str, Any]	 =    k_size // 2
  __UpperCAmelCase ,					__UpperCAmelCase				:      List[str]	 =    mgrid[0 - center : k_size - center, 0 - center : k_size - center]
  __UpperCAmelCase				:      Union[str, Any]	 =    1 / (2 * pi * sigma) * exp(-(square(__lowerCamelCase						) + square(__lowerCamelCase						)) / (2 * square(__lowerCamelCase						))						)
  return g






def 							lowerCamelCase__ (       __lowerCamelCase     :	Union[str, Any]    ,						__lowerCamelCase     :	Optional[int]    ,						__lowerCamelCase     :	Optional[Any]						):
  __UpperCAmelCase ,					__UpperCAmelCase				:      int	 =    image.shape[0], image.shape[1]
  # dst image height and width
  __UpperCAmelCase				:      Optional[Any]	 =    height - k_size + 1
  __UpperCAmelCase				:      Optional[Any]	 =    width - k_size + 1

  # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
  __UpperCAmelCase				:      Dict	 =    zeros((dst_height * dst_width, k_size * k_size)						)
  __UpperCAmelCase				:      List[str]	 =    0
  for i, j in product(range(__lowerCamelCase						)    ,						range(__lowerCamelCase						)						):
    __UpperCAmelCase				:      List[Any]	 =    ravel(image[i : i + k_size, j : j + k_size]						)
    __UpperCAmelCase				:      str	 =    window
    row += 1

  #  turn the kernel into shape(k*k, 1)
  __UpperCAmelCase				:      Any	 =    gen_gaussian_kernel(__lowerCamelCase    ,						__lowerCamelCase						)
  __UpperCAmelCase				:      Dict	 =    ravel(__lowerCamelCase						)

  # reshape and get the dst image
  __UpperCAmelCase				:      List[Any]	 =    dot(__lowerCamelCase    ,						__lowerCamelCase						).reshape(__lowerCamelCase    ,						__lowerCamelCase						).astype(__lowerCamelCase						)

  return dst


if __name__ == "__main__":
       # read original image
       a						:			Tuple     	=					imread(r"../image_data/lena.jpg")
       # turn image in gray scale value
       a						:			Tuple     	=					cvtColor(img, COLOR_BGR2GRAY)

       # get values with two different mask size
       a						:			Tuple     	=					gaussian_filter(gray, 3, sigma=1)
       a						:			Any     	=					gaussian_filter(gray, 5, sigma=0.8)

       # show result images
       imshow("gaussian filter with 3x3 mask", gaussianaxa)
       imshow("gaussian filter with 5x5 mask", gaussianaxa)
       waitKey()










'''simple docstring'''

import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


UpperCamelCase      					="\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n"




class      A     (   unittest.TestCase, SCREAMING_SNAKE_CASE__    ):






 """simple docstring"""





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				load_tool("""text-question-answering"""			)
       self.tool.setup()
       UpperCamelCase_					: List[str]            =				load_tool("""text-question-answering"""      ,  remote=__lowerCAmelCase			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Union[str, Any]            =				self.tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Optional[Any]            =				self.remote_tool(__lowerCAmelCase      ,  """What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)
 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: List[Any]            =				self.tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)





 def 	_UpperCAmelCase							(				self			):
       UpperCamelCase_					: Dict            =				self.remote_tool(text=__lowerCAmelCase      ,  question="""What did Hugging Face do in April 2021?"""			)
       self.assertEqual(__lowerCAmelCase      ,  """launched the BigScience Research Workshop"""			)






