

from typing import List

import PIL
import torch
from PIL import Image

from ...configuration_utils import ConfigMixin
from ...models.modeling_utils import ModelMixin
from ...utils import PIL_INTERPOLATION



class    __snake_case	(     _UpperCAmelCase  ,			_UpperCAmelCase							):

  def __init__(       self):
      super().__init__()

      self.register_buffer('watermark_image'    ,		torch.zeros((62, 62, 4)))
      SCREAMING_SNAKE_CASE_						=    None


  def     lowerCAmelCase__  (       self    ,		_A    ,		_A=None):
      SCREAMING_SNAKE_CASE_						=    images[0].height
      SCREAMING_SNAKE_CASE_						=    images[0].width

      SCREAMING_SNAKE_CASE_						=    sample_size or h

      SCREAMING_SNAKE_CASE_						=    min(h / sample_size    ,		w / sample_size)
      SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_						=    (int(h / coef), int(w / coef)) if coef < 1 else (h, w)

      SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_						=    1024**2, img_w * img_h
      SCREAMING_SNAKE_CASE_						=    (Sa / Sa) ** 0.5
      SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_				,      SCREAMING_SNAKE_CASE_						=    int(K * 62), img_w - int(14 * K), img_h - int(14 * K)

      if self.watermark_image_as_pil is None:
          SCREAMING_SNAKE_CASE_						=    self.watermark_image.to(torch.uinta).cpu().numpy()
          SCREAMING_SNAKE_CASE_						=    Image.fromarray(_A    ,		mode='RGBA')
          SCREAMING_SNAKE_CASE_						=    watermark_image

      SCREAMING_SNAKE_CASE_						=    self.watermark_image_as_pil.resize(
          (wm_size, wm_size)    ,		PIL_INTERPOLATION['bicubic']    ,		reducing_gap=_A)

      for pil_img in images:
          pil_img.paste(_A    ,		box=(wm_x - wm_size, wm_y - wm_size, wm_x, wm_y)    ,		mask=wm_img.split()[-1])

      return images







from .stack import Stack






def 			UpperCAmelCase__     (     lowercase__ )			->   bool:
						__lowercase											=					Stack()
						__lowercase											=					{"""(""": """)""", """[""": """]""", """{""": """}"""}
						for bracket in parentheses:
												if bracket in bracket_pairs:
																		stack.push(lowercase__ )
												elif bracket in (")", "]", "}"):
																		if stack.is_empty() or bracket_pairs[stack.pop()] != bracket:
																								return False
						return stack.is_empty()


if __name__ == "__main__":
			from doctest import testmod

			testmod()

			UpperCamelCase__			=    ["((()))", "((())", "(()))"]
			print("Balanced parentheses demonstration:\n")
			for example in examples:
						UpperCamelCase__			=    "" if balanced_parentheses(example) else "not "
						print(F"""{example} is {not_str}balanced""")





