


'''simple docstring'''







import numpy as np
import torch
import torch.nn as nn
from transformers import CLIPConfig, CLIPVisionModelWithProjection, PreTrainedModel

from ...utils import logging


SCREAMING_SNAKE_CASE_      =			logging.get_logger(__name__)


class  lowerCAmelCase_						(       snake_case__      ):





		"""simple docstring"""



		a_       :Optional[Any]												=CLIPConfig

		a_       :str												=["""CLIPEncoderLayer"""]

		def __init__(					self     :							Any				,							SCREAMING_SNAKE_CASE__     :							CLIPConfig						):





							'''simple docstring'''

							super().__init__(SCREAMING_SNAKE_CASE__						)

							__a       =   CLIPVisionModelWithProjection(config.vision_config						)

							__a       =   nn.Linear(config.vision_config.projection_dim				,							1						)
							__a       =   nn.Linear(config.vision_config.projection_dim				,							1						)


		@torch.no_grad()
		def __a						(					self     :							Dict				,							SCREAMING_SNAKE_CASE__     :							List[str]				,							SCREAMING_SNAKE_CASE__     :							List[Any]				,							SCREAMING_SNAKE_CASE__     :							int=0.5				,							SCREAMING_SNAKE_CASE__     :							str=0.5						):





							'''simple docstring'''

							__a       =   self.vision_model(SCREAMING_SNAKE_CASE__						)[0]

							__a       =   self.p_head(SCREAMING_SNAKE_CASE__						)
							__a       =   nsfw_detected.flatten()
							__a       =   nsfw_detected > p_threshold
							__a       =   nsfw_detected.tolist()

							if any(SCREAMING_SNAKE_CASE__						):
												logger.warning(
												    """Potential NSFW content was detected in one or more images. A black image will be returned instead."""
												    """ Try again with a different prompt and/or seed."""						)

							for idx, nsfw_detected_ in enumerate(SCREAMING_SNAKE_CASE__						):
												if nsfw_detected_:
																	__a       =   np.zeros(images[idx].shape						)

							__a       =   self.w_head(SCREAMING_SNAKE_CASE__						)
							__a       =   watermark_detected.flatten()
							__a       =   watermark_detected > w_threshold
							__a       =   watermark_detected.tolist()

							if any(SCREAMING_SNAKE_CASE__						):
												logger.warning(
												    """Potential watermarked content was detected in one or more images. A black image will be returned instead."""
												    """ Try again with a different prompt and/or seed."""						)

							for idx, watermark_detected_ in enumerate(SCREAMING_SNAKE_CASE__						):
												if watermark_detected_:
																	__a       =   np.zeros(images[idx].shape						)

							return images, nsfw_detected, watermark_detected










'''simple docstring'''







SCREAMING_SNAKE_CASE_      =			0  # The first color of the flag.
SCREAMING_SNAKE_CASE_      =			1  # The second color of the flag.
SCREAMING_SNAKE_CASE_      =			2  # The third color of the flag.
SCREAMING_SNAKE_CASE_      =			(red, white, blue)




def        __lowercase						(      __SCREAMING_SNAKE_CASE		)				->					list:
     """simple docstring"""




     if not sequence:
          return []
     if len(__SCREAMING_SNAKE_CASE		) == 1:
          return list(__SCREAMING_SNAKE_CASE		)
     __a       =   0
     __a       =   len(__SCREAMING_SNAKE_CASE		) - 1
     __a       =   0
     while mid <= high:
          if sequence[mid] == colors[0]:
               __a ,						__a       =   sequence[mid], sequence[low]
               low += 1
               mid += 1
          elif sequence[mid] == colors[1]:
               mid += 1
          elif sequence[mid] == colors[2]:
               __a ,						__a       =   sequence[high], sequence[mid]
               high -= 1
          else:
               __a       =   F'''The elements inside the sequence must contains only {colors} values'''
               raise ValueError(__SCREAMING_SNAKE_CASE		)
     return sequence


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 SCREAMING_SNAKE_CASE_      =			input('Enter numbers separated by commas:\n').strip()
 SCREAMING_SNAKE_CASE_      =			[int(item.strip()) for item in user_input.split(',')]
 print(f"""{dutch_national_flag_sort(unsorted)}""")






