



"""simple docstring"""






class 	__SCREAMING_SNAKE_CASE     :


					'''simple docstring'''





					def __init__(	self							:  Union[str, Any],  lowerCamelCase							:  Dict,  lowerCamelCase							:  Any					)-> Union[str, Any]:
								lowerCamelCase__		:		Union[str, Any]		     =name
								lowerCamelCase__		:		Optional[Any]		     =val



					def __str__(	self							:  int					)-> Optional[Any]:
								return F'''{self.__class__.__name__}({self.name}, {self.val})'''




					def __lt__(	self							:  List[str],  lowerCamelCase							:  List[Any]					)-> int:
								return self.val < other.val





class 	__SCREAMING_SNAKE_CASE     :


					'''simple docstring'''





					def __init__(	self							:  str,  lowerCamelCase							:  Optional[int]					)-> Any:
								lowerCamelCase__		:		Union[str, Any]		     ={}
								lowerCamelCase__		:		Any		     ={}
								lowerCamelCase__		:		Optional[Any]		     =self.build_heap(lowerCamelCase					)



					def __getitem__(	self							:  str,  lowerCamelCase							:  List[Any]					)-> Optional[Any]:
								return self.get_value(lowerCamelCase					)



					def 		snake_case	(	self							:  Tuple,  lowerCamelCase							:  Union[str, Any]					)-> Union[str, Any]:
								return (idx - 1) // 2



					def 		snake_case	(	self							:  Union[str, Any],  lowerCamelCase							:  Optional[Any]					)-> List[Any]:
								return idx * 2 + 1



					def 		snake_case	(	self							:  Optional[int],  lowerCamelCase							:  Dict					)-> Any:
								return idx * 2 + 2



					def 		snake_case	(	self							:  List[Any],  lowerCamelCase							:  Optional[Any]					)-> str:
								return self.heap_dict[key]



					def 		snake_case	(	self							:  List[Any],  lowerCamelCase							:  Dict					)-> str:
								lowerCamelCase__		:		Dict		     =len(lowerCamelCase					) - 1
								lowerCamelCase__		:		Tuple		     =self.get_parent_idx(lowerCamelCase					)

								for idx, i in enumerate(lowerCamelCase					):
											lowerCamelCase__		:		Any		     =idx
											lowerCamelCase__		:		str		     =i.val

								for i in range(lowerCamelCase,  -1,  -1					):
											self.sift_down(lowerCamelCase,  lowerCamelCase					)
								return array



					def 		snake_case	(	self							:  List[Any],  lowerCamelCase							:  Optional[Any],  lowerCamelCase							:  Any					)-> Optional[int]:
								while True:
											lowerCamelCase__		:		Optional[int]		     =self.get_left_child_idx(lowerCamelCase					)  # noqa: E741
											lowerCamelCase__		:		Optional[int]		     =self.get_right_child_idx(lowerCamelCase					)

											lowerCamelCase__		:		Tuple		     =idx
											if l < len(lowerCamelCase					) and array[l] < array[idx]:
														lowerCamelCase__		:		int		     =l
											if r < len(lowerCamelCase					) and array[r] < array[smallest]:
														lowerCamelCase__		:		int		     =r

											if smallest != idx:
														lowerCamelCase__     ,       lowerCamelCase__		:		Union[str, Any]		     =array[smallest], array[idx]
														(
														    (
														    lowerCamelCase__
														)     ,       (
														    lowerCamelCase__
														)     ,       
														)		:		str		     =(
														    self.idx_of_element[array[smallest]],
														    self.idx_of_element[array[idx]],
														)
														lowerCamelCase__		:		Optional[Any]		     =smallest
											else:
														break



					def 		snake_case	(	self							:  int,  lowerCamelCase							:  int					)-> Optional[int]:
								lowerCamelCase__		:		int		     =self.get_parent_idx(lowerCamelCase					)
								while p >= 0 and self.heap[p] > self.heap[idx]:
											lowerCamelCase__     ,       lowerCamelCase__		:		Tuple		     =self.heap[idx], self.heap[p]
											lowerCamelCase__     ,       lowerCamelCase__		:		Optional[Any]		     =(
											    self.idx_of_element[self.heap[idx]],
											    self.idx_of_element[self.heap[p]],
											)
											lowerCamelCase__		:		Tuple		     =p
											lowerCamelCase__		:		int		     =self.get_parent_idx(lowerCamelCase					)



					def 		snake_case	(	self							:  Tuple					)-> Union[str, Any]:
								return self.heap[0]



					def 		snake_case	(	self							:  int					)-> str:
								lowerCamelCase__     ,       lowerCamelCase__		:		Optional[Any]		     =self.heap[-1], self.heap[0]
								lowerCamelCase__     ,       lowerCamelCase__		:		Optional[Any]		     =(
								    self.idx_of_element[self.heap[-1]],
								    self.idx_of_element[self.heap[0]],
								)

								lowerCamelCase__		:		Optional[Any]		     =self.heap.pop()
								del self.idx_of_element[x]
								self.sift_down(0,  self.heap					)
								return x



					def 		snake_case	(	self							:  int,  lowerCamelCase							:  str					)-> List[Any]:
								self.heap.append(lowerCamelCase					)
								lowerCamelCase__		:		Any		     =len(self.heap					) - 1
								lowerCamelCase__		:		List[str]		     =node.val
								self.sift_up(len(self.heap					) - 1					)



					def 		snake_case	(	self							:  str					)-> str:
								return len(self.heap					) == 0




					def 		snake_case	(	self							:  Optional[Any],  lowerCamelCase							:  Union[str, Any],  lowerCamelCase							:  List[str]					)-> Optional[Any]:
								assert (
								    self.heap[self.idx_of_element[node]].val > new_value
								), "newValue must be less that current value"
								lowerCamelCase__		:		List[Any]		     =new_value
								lowerCamelCase__		:		str		     =new_value
								self.sift_up(self.idx_of_element[node]					)





_lowercase			:			List[str]										=						Node("R", -1)
_lowercase			:			Dict										=						Node("B", 6)
_lowercase			:			List[Any]										=						Node("A", 3)
_lowercase			:			str										=						Node("X", 1)
_lowercase			:			Optional[int]										=						Node("E", 4)

# Use one of these two ways to generate Min-Heap

# Generating Min-Heap from array
_lowercase			:			Any										=						MinHeap([r, b, a, x, e])

# Generating Min-Heap by Insert method
# myMinHeap.insert(a)
# myMinHeap.insert(b)
# myMinHeap.insert(x)
# myMinHeap.insert(r)
# myMinHeap.insert(e)

# Before
print("Min Heap - before decrease key")
for i in my_min_heap.heap:
		print(i)

print("Min Heap - After decrease key of node [B -> -17]")
my_min_heap.decrease_key(b, -1_7)

# After
for i in my_min_heap.heap:
		print(i)

if __name__ == "__main__":
		import doctest

		doctest.testmod()









"""simple docstring"""






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

from ...utils import logging


_lowercase			:			int										=						logging.get_logger(__name__)

class 	__SCREAMING_SNAKE_CASE     (				lowerCAmelCase_       ):


					'''simple docstring'''





					_a             =							CLIPConfig

					_a             =							['CLIPEncoderLayer']



					def __init__(	self							:  int,  lowerCamelCase							:  CLIPConfig					)-> List[Any]:
								super().__init__(lowerCamelCase					)

								lowerCamelCase__		:		Dict		     =CLIPVisionModelWithProjection(config.vision_config					)

								lowerCamelCase__		:		Dict		     =nn.Linear(config.vision_config.projection_dim,  1					)
								lowerCamelCase__		:		Union[str, Any]		     =nn.Linear(config.vision_config.projection_dim,  1					)




					@torch.no_grad()
					def 		snake_case	(	self							:  Dict,  lowerCamelCase							:  Optional[Any],  lowerCamelCase							:  List[str],  lowerCamelCase							:  List[Any]=0.5,  lowerCamelCase							:  Optional[Any]=0.5					)-> Optional[int]:
								lowerCamelCase__		:		Dict		     =self.vision_model(lowerCamelCase					)[0]

								lowerCamelCase__		:		List[Any]		     =self.p_head(lowerCamelCase					)
								lowerCamelCase__		:		Optional[Any]		     =nsfw_detected.flatten()
								lowerCamelCase__		:		Any		     =nsfw_detected > p_threshold
								lowerCamelCase__		:		Optional[Any]		     =nsfw_detected.tolist()

								if any(lowerCamelCase					):
											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(lowerCamelCase					):
											if nsfw_detected_:
														lowerCamelCase__		:		Tuple		     =np.zeros(images[idx].shape					)

								lowerCamelCase__		:		str		     =self.w_head(lowerCamelCase					)
								lowerCamelCase__		:		List[str]		     =watermark_detected.flatten()
								lowerCamelCase__		:		Optional[Any]		     =watermark_detected > w_threshold
								lowerCamelCase__		:		int		     =watermark_detected.tolist()

								if any(lowerCamelCase					):
											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(lowerCamelCase					):
											if watermark_detected_:
														lowerCamelCase__		:		Optional[int]		     =np.zeros(images[idx].shape					)

								return images, nsfw_detected, watermark_detected




