"""simple docstring"""


import argparse
import os






class  a__     :
   snake_case_				=   "block_{0}.dat"


   def __init__(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				filename
        lowercase__								=				[]


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				self.BLOCK_FILENAME_FORMAT.format(_UpperCAmelCase	)
        with open(_UpperCAmelCase,					"w"	) as file:
             file.write(_UpperCAmelCase	)
        self.block_filenames.append(_UpperCAmelCase	)


   def 						snake_case__						(  self	):
        '''simple docstring'''



        return self.block_filenames


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase=None	):
        '''simple docstring'''



        lowercase__								=				0
        with open(self.filename	) as file:
             while True:
                  lowercase__								=				file.readlines(_UpperCAmelCase	)

                  if lines == []:
                       break

                  if sort_key is None:
                       lines.sort()
                  else:
                       lines.sort(key=_UpperCAmelCase	)

                  self.write_block("".join(_UpperCAmelCase	),					_UpperCAmelCase	)
                  i += 1


   def 						snake_case__						(  self	):
        '''simple docstring'''



        map(os.remove,					self.block_filenames	)






class  a__     :


   def 						snake_case__						(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				-1
        lowercase__								=				None

        for i in range(len(_UpperCAmelCase	)	):
             if min_str is None or choices[i] < min_str:
                  lowercase__								=				i

        return min_index






class  a__     :


   def __init__(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				files
        lowercase__								=				set()
        lowercase__								=				len(_UpperCAmelCase	)
        lowercase__								=				{i: None for i in range(self.num_buffers	)}


   def 						snake_case__						(  self	):
        '''simple docstring'''



        return {
            i: self.buffers[i] for i in range(self.num_buffers	) if i not in self.empty
        }


   def 						snake_case__						(  self	):
        '''simple docstring'''



        for i in range(self.num_buffers	):
             if self.buffers[i] is None and i not in self.empty:
                  lowercase__								=				self.files[i].readline()

                  if self.buffers[i] == "":
                       self.empty.add(_UpperCAmelCase	)
                       self.files[i].close()

        if len(self.empty	) == self.num_buffers:
             return False

        return True


   def 						snake_case__						(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				self.buffers[index]
        lowercase__								=				None

        return value






class  a__     :


   def __init__(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				merge_strategy


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				FilesArray(self.get_file_handles(_UpperCAmelCase,					_UpperCAmelCase	)	)
        with open(_UpperCAmelCase,					"w",					_UpperCAmelCase	) as outfile:
             while buffers.refresh():
                  lowercase__								=				self.merge_strategy.select(buffers.get_dict()	)
                  outfile.write(buffers.unshift(_UpperCAmelCase	)	)


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				{}

        for i in range(len(_UpperCAmelCase	)	):
             lowercase__								=				open(filenames[i],					"r",					_UpperCAmelCase	)  # noqa: UP015

        return files






class  a__     :


   def __init__(  self,					_UpperCAmelCase	):
        '''simple docstring'''



        lowercase__								=				block_size


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase=None	):
        '''simple docstring'''



        lowercase__								=				self.get_number_blocks(_UpperCAmelCase,					self.block_size	)
        lowercase__								=				FileSplitter(_UpperCAmelCase	)
        splitter.split(self.block_size,					_UpperCAmelCase	)

        lowercase__								=				FileMerger(NWayMerge()	)
        lowercase__								=				self.block_size / (num_blocks + 1)
        merger.merge(splitter.get_block_filenames(),					filename + ".out",					_UpperCAmelCase	)

        splitter.cleanup()


   def 						snake_case__						(  self,					_UpperCAmelCase,					_UpperCAmelCase	):
        '''simple docstring'''



        return (os.stat(_UpperCAmelCase	).st_size / block_size) + 1







def        __a (		A   ):






     '''simple docstring'''



     if string[-1].lower() == "k":
          return int(string[:-1]   ) * 10_24
     elif string[-1].lower() == "m":
          return int(string[:-1]   ) * 10_24 * 10_24
     elif string[-1].lower() == "g":
          return int(string[:-1]   ) * 10_24 * 10_24 * 10_24
     else:
          return int(A   )







def        __a (		):






     '''simple docstring'''



     lowercase__								=				argparse.ArgumentParser()
     parser.add_argument(
         "-m"     ,					"--mem"     ,					help="amount of memory to use for sorting"     ,					default="100M"   )
     parser.add_argument(
         "filename"     ,					metavar="<filename>"     ,					nargs=1     ,					help="name of file to sort"   )
     lowercase__								=				parser.parse_args()

     lowercase__								=				ExternalSort(parse_memory(args.mem   )   )
     sorter.sort(args.filename[0]   )


if __name__ == "__main__":
 main()







"""simple docstring"""
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros







def       UpperCamelCase_					(     lowerCamelCase							:					Optional[int]     , lowerCamelCase							:					Tuple   )						->     str:



       """simple docstring"""







       __magic_name__       ,							__magic_name__			:		Optional[Any]        =     image.shape
       __magic_name__			:		str        =     cols - block_size[1] + 1
       __magic_name__			:		int        =     rows - block_size[0] + 1
       __magic_name__			:		Optional[Any]        =     zeros((dst_height * dst_width, block_size[1] * block_size[0])   )
       __magic_name__			:		List[Any]        =     0
       for i in range(0     , lowerCamelCase   ):
              for j in range(0     , lowerCamelCase   ):
                     __magic_name__			:		List[Any]        =     ravel(image[i : i + block_size[0], j : j + block_size[1]]   )
                     __magic_name__			:		str        =     window
                     row += 1

       return image_array







def       UpperCamelCase_					(     lowerCamelCase							:					str     , lowerCamelCase							:					List[str]   )						->     Tuple:



       """simple docstring"""







       __magic_name__       ,							__magic_name__			:		List[str]        =     image.shape[0], image.shape[1]
       __magic_name__			:		Any        =     filter_kernel.shape[0]
       __magic_name__			:		Optional[Any]        =     k_size // 2
       # Pads image with the edge values of array.
       __magic_name__			:		Union[str, Any]        =     pad(lowerCamelCase     , lowerCamelCase     , mode='''edge'''   )

       # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
       __magic_name__			:		List[Any]        =     imacol(lowerCamelCase     , (k_size, k_size)   )

       #  turn the kernel into shape(k*k, 1)
       __magic_name__			:		Tuple        =     ravel(lowerCamelCase   )
       # reshape and get the dst image
       __magic_name__			:		int        =     dot(lowerCamelCase     , lowerCamelCase   ).reshape(lowerCamelCase     , lowerCamelCase   )
       return dst


if __name__ == "__main__":
 # read original image
 A									=						imread(R"""../image_data/lena.jpg""")
 # turn image in gray scale value
 A									=						cvtColor(img, COLOR_BGR2GRAY)
 # Laplace operator
 A									=						array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
 A									=						img_convolve(gray, Laplace_kernel).astype(uinta)
 imshow("""Laplacian""", out)
 waitKey(0)
