




"""simple docstring"""





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    __lowercase							(      snake_case_    , snake_case_						):


				'''simple docstring'''


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

										self.register_buffer('''watermark_image'''   ,torch.zeros((6_2, 6_2, 4)   )   )
										snake_case__							:       Any				      =       None





				def    _lowerCamelCase       ( self :  Union[str, Any]   ,SCREAMING_SNAKE_CASE_ :  List[PIL.Image.Image]   ,SCREAMING_SNAKE_CASE_ :  Tuple=None   ):
										# copied from https://github.com/deep-floyd/IF/blob/b77482e36ca2031cb94dbca1001fc1e6400bf4ab/deepfloyd_if/modules/base.py#L287

										snake_case__							:       Optional[Any]				      =       images[0].height
										snake_case__							:       str				      =       images[0].width

										snake_case__							:       Optional[int]				      =       sample_size or h

										snake_case__							:       Optional[int]				      =       min(h / sample_size   ,w / sample_size   )
										snake_case__      ,						snake_case__							:       List[str]				      =       (int(h / coef   ), int(w / coef   )) if coef < 1 else (h, w)

										snake_case__      ,						snake_case__							:       List[Any]				      =       1_0_2_4**2, img_w * img_h
										snake_case__							:       Dict				      =       (Sa / Sa) ** 0.5
										snake_case__      ,						snake_case__      ,						snake_case__							:       Optional[Any]				      =       int(K * 6_2   ), img_w - int(1_4 * K   ), img_h - int(1_4 * K   )

										if self.watermark_image_as_pil is None:
																snake_case__							:       Union[str, Any]				      =       self.watermark_image.to(torch.uinta   ).cpu().numpy()
																snake_case__							:       Any				      =       Image.fromarray(SCREAMING_SNAKE_CASE_   ,mode='''RGBA'''   )
																snake_case__							:       List[str]				      =       watermark_image

										snake_case__							:       Union[str, Any]				      =       self.watermark_image_as_pil.resize(
										    (wm_size, wm_size)   ,PIL_INTERPOLATION['''bicubic''']   ,reducing_gap=SCREAMING_SNAKE_CASE_   )

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

										return images








"""simple docstring"""





_lowercase						   =     {0: [1, 2], 1: [0, 3], 2: [0], 3: [1], 4: [5, 6], 5: [4, 6], 6: [4, 5]}

_lowercase						   =     {0: [1, 2, 3], 1: [0, 3], 2: [0], 3: [0, 1], 4: [], 5: []}

def 		lowerCAmelCase				(			lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		):
						'''simple docstring'''


						snake_case__							:       Any				      =       True
						snake_case__							:       int				      =       []

						for neighbour in graph[vert]:
												if not visited[neighbour]:
																		connected_verts += dfs(lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		)

						return [vert, *connected_verts]

def 		lowerCAmelCase				(			lowerCamelCase		):
						'''simple docstring'''


						snake_case__							:       Optional[int]				      =       len(lowerCamelCase		)
						snake_case__							:       str				      =       graph_size * [False]
						snake_case__							:       List[str]				      =       []

						for i in range(lowerCamelCase		):
												if not visited[i]:
																		snake_case__							:       Dict				      =       dfs(lowerCamelCase   ,      lowerCamelCase   ,      lowerCamelCase		)
																		components_list.append(lowerCamelCase		)

						return components_list


if __name__ == "__main__":
							import doctest

							doctest.testmod()


