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







class        A_   :




	'''simple docstring'''


	def __init__(       self		,    snake_case       ):
		lowercase       =    str(id_       )
		lowercase       =    None
		lowercase       =    None
		lowercase       =    []
		lowercase       =    {}  # {vertex:distance}





	def __lt__(       self		,    snake_case       ):
		return self.key < other.key





	def __repr__(       self       ):
		return self.id





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		self.neighbors.append(snake_case       )





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case       ):
		lowercase       =    weight






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							):
	# 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] ,							__SCREAMING_SNAKE_CASE							)
	graph[b - 1].add_edge(graph[a - 1] ,							__SCREAMING_SNAKE_CASE							)






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






def 							UpperCAmelCase_		(							__SCREAMING_SNAKE_CASE ,							__SCREAMING_SNAKE_CASE							):
	for u in graph:
		lowercase       =    math.inf
		lowercase       =    None
	lowercase       =    0

	lowercase       =    list(__SCREAMING_SNAKE_CASE							)
	hq.heapify(__SCREAMING_SNAKE_CASE							)

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

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






def 							UpperCAmelCase_		(							):
	pass


if __name__ == "__main__":
	import doctest

	doctest.testmod()



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

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


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







class        A_   (			__lowerCamelCase   ):




	'''simple docstring'''


	def __init__(       self		,    snake_case		,    snake_case=768       ):
		super().__init__(snake_case       )
		lowercase       =    proj_size

		lowercase       =    CLIPVisionModel(snake_case       )
		lowercase       =    PaintByExampleMapper(snake_case       )
		lowercase       =    nn.LayerNorm(config.hidden_size       )
		lowercase       =    nn.Linear(config.hidden_size		,    self.proj_size       )

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





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case		,    snake_case=False       ):
		lowercase       =    self.model(pixel_values=snake_case       )
		lowercase       =    clip_output.pooler_output
		lowercase       =    self.mapper(latent_states[:, None]       )
		lowercase       =    self.final_layer_norm(snake_case       )
		lowercase       =    self.proj_out(snake_case       )
		if return_uncond_vector:
			return latent_states, self.uncond_vector

		return latent_states







class        A_   (			nn.Module   ):




	'''simple docstring'''


	def __init__(       self		,    snake_case       ):
		super().__init__()
		lowercase       =    (config.num_hidden_layers + 1) // 5
		lowercase       =    config.hidden_size
		lowercase       =    1
		lowercase       =    nn.ModuleList(
		    [
		        BasicTransformerBlock(snake_case		,    snake_case		,    snake_case		,    activation_fn='gelu'		,    attention_bias=snake_case       )
		        for _ in range(snake_case       )
		    ]       )





	def 	SCREAMING_SNAKE_CASE__						(       self		,    snake_case       ):
		for block in self.blocks:
			lowercase       =    block(snake_case       )

		return hidden_states

