
'''simple docstring'''



import torch
from torch import nn
from transformers import CLIPPreTrainedModel, CLIPVisionModel

from ...models.attention import BasicTransformerBlock
from ...utils import logging


_lowercase    =		logging.get_logger(__name__)  # pylint: disable=invalid-name




class   UpperCAmelCase_			(		_SCREAMING_SNAKE_CASE			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase   ,       _lowercase=768				):

												"""simple docstring"""



												super().__init__(_lowercase				)
												_lowerCAmelCase  						=			proj_size

												_lowerCAmelCase  						=			CLIPVisionModel(_lowercase				)
												_lowerCAmelCase  						=			PaintByExampleMapper(_lowercase				)
												_lowerCAmelCase  						=			nn.LayerNorm(config.hidden_size				)
												_lowerCAmelCase  						=			nn.Linear(config.hidden_size   ,       self.proj_size				)

												# uncondition for scaling
												_lowerCAmelCase  						=			nn.Parameter(torch.randn((1, 1, self.proj_size)				)				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase=False				):

												"""simple docstring"""



												_lowerCAmelCase  						=			self.model(pixel_values=_lowercase				)
												_lowerCAmelCase  						=			clip_output.pooler_output
												_lowerCAmelCase  						=			self.mapper(latent_states[:, None]				)
												_lowerCAmelCase  						=			self.final_layer_norm(_lowercase				)
												_lowerCAmelCase  						=			self.proj_out(_lowercase				)
												if return_uncond_vector:
																		return latent_states, self.uncond_vector

												return latent_states






class   UpperCAmelCase_			(		nn.Module			):






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												super().__init__()
												_lowerCAmelCase  						=			(config.num_hidden_layers + 1) // 5
												_lowerCAmelCase  						=			config.hidden_size
												_lowerCAmelCase  						=			1
												_lowerCAmelCase  						=			nn.ModuleList(
												    [
												        BasicTransformerBlock(_lowercase   ,       _lowercase   ,       _lowercase   ,       activation_fn="""gelu"""   ,       attention_bias=_lowercase				)
												        for _ in range(_lowercase				)
												    ]				)




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												for block in self.blocks:
																		_lowerCAmelCase  						=			block(_lowercase				)

												return hidden_states


'''simple docstring'''



import heapq as hq
import math
from collections.abc import Iterator




class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			str(id_				)
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			[]
												_lowerCAmelCase  						=			{}  # {vertex:distance}




						def __lt__( self   ,       _lowercase				):

												"""simple docstring"""



												return self.key < other.key




						def __repr__( self				):

												"""simple docstring"""



												return self.id




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												self.neighbors.append(_lowercase				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			weight






def A				(__lowerCamelCase				:List[Any]			,     __lowerCamelCase				:Union[str, Any]			,     __lowerCamelCase				:Dict			,     __lowerCamelCase				:Optional[int]		):
						# add the neighbors:
						graph[a - 1].add_neighbor(graph[b - 1]		)
						graph[b - 1].add_neighbor(graph[a - 1]		)
						# add the edges:
						graph[a - 1].add_edge(graph[b - 1]			,     __lowerCamelCase		)
						graph[b - 1].add_edge(graph[a - 1]			,     __lowerCamelCase		)


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						_lowerCAmelCase  						=			[]
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0
						_lowerCAmelCase  						=			graph[:]
						while q:
												_lowerCAmelCase  						=			min(__lowerCamelCase		)
												q.remove(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in q) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
						for i in range(1			,     len(__lowerCamelCase		)		):
												a.append((int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)		)
						return a


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0

						_lowerCAmelCase  						=			list(__lowerCamelCase		)
						hq.heapify(__lowerCamelCase		)

						while h:
												_lowerCAmelCase  						=			hq.heappop(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in h) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
																								hq.heapify(__lowerCamelCase		)

						for i in range(1			,     len(__lowerCamelCase		)		):
												yield (int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)


def A				():
						pass


if __name__ == "__main__":
						import doctest

						doctest.testmod()
