




"""simple docstring"""
import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		str						)    ->       Dict:
 _UpperCamelCase      :	Union[str, Any]					      =  np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]						)
 _UpperCamelCase      :	Optional[int]					      =  np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]						)

 _UpperCamelCase      :	Any					      =  np.abs(img_convolve(__lowerCAmelCase  ,	__lowerCAmelCase						)						)
 _UpperCamelCase      :	List[str]					      =  np.abs(img_convolve(__lowerCAmelCase  ,	__lowerCAmelCase						)						)
 # modify the pix within [0, 255]
 _UpperCamelCase      :	Any					      =  dst_x * 255 / np.max(__lowerCAmelCase						)
 _UpperCamelCase      :	Optional[int]					      =  dst_y * 255 / np.max(__lowerCAmelCase						)

 _UpperCamelCase      :	Union[str, Any]					      =  np.sqrt((np.square(__lowerCAmelCase						)) + (np.square(__lowerCAmelCase						))						)
 _UpperCamelCase      :	Optional[int]					      =  dst_xy * 255 / np.max(__lowerCAmelCase						)
 _UpperCamelCase      :	Any					      =  dst_xy.astype(np.uinta						)

 _UpperCamelCase      :	List[Any]					      =  np.arctana(__lowerCAmelCase  ,	__lowerCAmelCase						)
 return dst, theta


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

    _SCREAMING_SNAKE_CASE ,	_SCREAMING_SNAKE_CASE						 =     sobel_filter(gray)

    # show result images
    imshow("""sobel filter""", sobel_grad)
    imshow("""sobel theta""", sobel_theta)
    waitKey(0)









"""simple docstring"""
import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand






def 				__lowerCAmelCase					(					__lowerCAmelCase			:		Union[str, Any]						)    ->       int:
 return EnvironmentCommand()







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 @staticmethod
 def lowercase_      (lowerCAmelCase__   ):

  '''simple docstring'''







  _UpperCamelCase      :	Optional[Any]					      =  parser.add_parser("env"					,     help="Print relevant system environment info."   )
  download_parser.set_defaults(func=lowerCAmelCase__   )






 def lowercase_      (self   ):

  '''simple docstring'''







  _UpperCamelCase      :	Any					      =  {
      "`datasets` version": version,
      "Platform": platform.platform(),
      "Python version": platform.python_version(),
      "Huggingface_hub version": huggingface_hub.__version__,
      "PyArrow version": pyarrow.__version__,
      "Pandas version": pandas.__version__,
  }

  print("\nCopy-and-paste the text below in your GitHub issue.\n"   )
  print(self.format_dict(lowerCAmelCase__   )   )

  return info






 @staticmethod
 def lowercase_      (lowerCAmelCase__   ):

  '''simple docstring'''







  return "\n".join([F"- {prop}: {val}" for prop, val in d.items()]   ) + "\n"



