


'''simple docstring'''




import numpy as np
import torch
from imwatermark import WatermarkEncoder


# Copied from https://github.com/Stability-AI/generative-models/blob/613af104c6b85184091d42d374fef420eddb356d/scripts/demo/streamlit_helpers.py#L66
__snake_case    						=0B1011_0011_1110_1100_1001_0000_0111_1011_1011_0001_1001_1110
# bin(x)[2:] gives bits of x as str, use int to convert them to 0/1
__snake_case    						=[int(bit) for bit in bin(WATERMARK_MESSAGE)[2:]]

class 		UpperCAmelCase_      :





     def __init__( self       :      List[str]    )				->  str:
        lowerCAmelCase     =			WATERMARK_BITS
        lowerCAmelCase     =			WatermarkEncoder()

        self.encoder.set_watermark('bits'    ,      self.watermark    )





     def 							__UpperCAmelCase      ( self       :      Dict    ,      UpperCAmelCase__       :      torch.FloatTensor    )				->  str:
        # can't encode images that are smaller than 256
        if images.shape[-1] < 2_5_6:
           return images

        lowerCAmelCase     =			(2_5_5 * (images / 2 + 0.5)).cpu().permute(0    ,      2    ,      3    ,      1    ).float().numpy()

        lowerCAmelCase     =			[self.encoder.encode(UpperCAmelCase__    ,      'dwtDct'    ) for image in images]

        lowerCAmelCase     =			torch.from_numpy(np.array(UpperCAmelCase__    )    ).permute(0    ,      3    ,      1    ,      2    )

        lowerCAmelCase     =			torch.clamp(2 * (images / 2_5_5 - 0.5)    ,      min=-1.0    ,      max=1.0    )
        return images









'''simple docstring'''




import os

__snake_case    						={"""I""": 1, """V""": 5, """X""": 10, """L""": 50, """C""": 100, """D""": 500, """M""": 1_000}





def 	a_					( lowerCamelCase	:     str				):
   lowerCAmelCase     =			0

   lowerCAmelCase     =			0
   while index < len(lowerCamelCase				) - 1:
      lowerCAmelCase     =			SYMBOLS[numerals[index]]
      lowerCAmelCase     =			SYMBOLS[numerals[index + 1]]
      if current_value < next_value:
         total_value -= current_value
      else:
         total_value += current_value
      index += 1
   total_value += SYMBOLS[numerals[index]]

   return total_value





def 	a_					( lowerCamelCase	:     int				):
   lowerCAmelCase     =			''

   lowerCAmelCase     =			num // 1000
   numerals += m_count * "M"
   num %= 1000

   lowerCAmelCase     =			num // 100
   if c_count == 9:
      numerals += "CM"
      c_count -= 9
   elif c_count == 4:
      numerals += "CD"
      c_count -= 4
   if c_count >= 5:
      numerals += "D"
      c_count -= 5
   numerals += c_count * "C"
   num %= 100

   lowerCAmelCase     =			num // 10
   if x_count == 9:
      numerals += "XC"
      x_count -= 9
   elif x_count == 4:
      numerals += "XL"
      x_count -= 4
   if x_count >= 5:
      numerals += "L"
      x_count -= 5
   numerals += x_count * "X"
   num %= 10

   if num == 9:
      numerals += "IX"
      num -= 9
   elif num == 4:
      numerals += "IV"
      num -= 4
   if num >= 5:
      numerals += "V"
      num -= 5
   numerals += num * "I"

   return numerals





def 	a_					( lowerCamelCase	:     str = "/p089_roman.txt"				):
   lowerCAmelCase     =			0

   with open(os.path.dirname(lowerCamelCase				) + roman_numerals_filename				) as filea:
      lowerCAmelCase     =			filea.readlines()

   for line in lines:
      lowerCAmelCase     =			line.strip()
      lowerCAmelCase     =			parse_roman_numerals(lowerCamelCase				)
      lowerCAmelCase     =			generate_roman_numerals(lowerCamelCase				)
      savings += len(lowerCamelCase				) - len(lowerCamelCase				)

   return savings


if __name__ == "__main__":
       print(F'''{solution() = }''')





