

"""simple docstring"""





import argparse
import os

import torch

from diffusers import (
    CMStochasticIterativeScheduler,
    ConsistencyModelPipeline,
    UNetaDModel,
)


__UpperCamelCase    : str				 =						{
    '''sample_size''': 3_2,
    '''in_channels''': 3,
    '''out_channels''': 3,
    '''layers_per_block''': 2,
    '''num_class_embeds''': 1_0_0_0,
    '''block_out_channels''': [3_2, 6_4],
    '''attention_head_dim''': 8,
    '''down_block_types''': [
        '''ResnetDownsampleBlock2D''',
        '''AttnDownBlock2D''',
    ],
    '''up_block_types''': [
        '''AttnUpBlock2D''',
        '''ResnetUpsampleBlock2D''',
    ],
    '''resnet_time_scale_shift''': '''scale_shift''',
    '''upsample_type''': '''resnet''',
    '''downsample_type''': '''resnet''',
}

__UpperCamelCase    : Dict				 =						{
    '''sample_size''': 6_4,
    '''in_channels''': 3,
    '''out_channels''': 3,
    '''layers_per_block''': 3,
    '''num_class_embeds''': 1_0_0_0,
    '''block_out_channels''': [1_9_2, 1_9_2 * 2, 1_9_2 * 3, 1_9_2 * 4],
    '''attention_head_dim''': 6_4,
    '''down_block_types''': [
        '''ResnetDownsampleBlock2D''',
        '''AttnDownBlock2D''',
        '''AttnDownBlock2D''',
        '''AttnDownBlock2D''',
    ],
    '''up_block_types''': [
        '''AttnUpBlock2D''',
        '''AttnUpBlock2D''',
        '''AttnUpBlock2D''',
        '''ResnetUpsampleBlock2D''',
    ],
    '''resnet_time_scale_shift''': '''scale_shift''',
    '''upsample_type''': '''resnet''',
    '''downsample_type''': '''resnet''',
}

__UpperCamelCase    : List[Any]				 =						{
    '''sample_size''': 2_5_6,
    '''in_channels''': 3,
    '''out_channels''': 3,
    '''layers_per_block''': 2,
    '''num_class_embeds''': None,
    '''block_out_channels''': [2_5_6, 2_5_6, 2_5_6 * 2, 2_5_6 * 2, 2_5_6 * 4, 2_5_6 * 4],
    '''attention_head_dim''': 6_4,
    '''down_block_types''': [
        '''ResnetDownsampleBlock2D''',
        '''ResnetDownsampleBlock2D''',
        '''ResnetDownsampleBlock2D''',
        '''AttnDownBlock2D''',
        '''AttnDownBlock2D''',
        '''AttnDownBlock2D''',
    ],
    '''up_block_types''': [
        '''AttnUpBlock2D''',
        '''AttnUpBlock2D''',
        '''AttnUpBlock2D''',
        '''ResnetUpsampleBlock2D''',
        '''ResnetUpsampleBlock2D''',
        '''ResnetUpsampleBlock2D''',
    ],
    '''resnet_time_scale_shift''': '''default''',
    '''upsample_type''': '''resnet''',
    '''downsample_type''': '''resnet''',
}

__UpperCamelCase    : str				 =						{
    '''num_train_timesteps''': 4_0,
    '''sigma_min''': 0.0_0_2,
    '''sigma_max''': 8_0.0,
}

__UpperCamelCase    : Optional[Any]				 =						{
    '''num_train_timesteps''': 2_0_1,
    '''sigma_min''': 0.0_0_2,
    '''sigma_max''': 8_0.0,
}

__UpperCamelCase    : Any				 =						{
    '''num_train_timesteps''': 1_5_1,
    '''sigma_min''': 0.0_0_2,
    '''sigma_max''': 8_0.0,
}

def     __SCREAMING_SNAKE_CASE    ( A_					):
	if isinstance(A_		,	A_					):
		return v
	if v.lower() in ("yes", "true", "t", "y", "1"):
		return True
	elif v.lower() in ("no", "false", "f", "n", "0"):
		return False
	else:
		raise argparse.ArgumentTypeError('''boolean value expected'''					)

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_		,	A_		,	A_		,	A_=False					):
	lowerCAmelCase__      :		Optional[int]    							=      checkpoint[f'{old_prefix}.in_layers.0.weight']
	lowerCAmelCase__      :		int    							=      checkpoint[f'{old_prefix}.in_layers.0.bias']
	lowerCAmelCase__      :		Tuple    							=      checkpoint[f'{old_prefix}.in_layers.2.weight']
	lowerCAmelCase__      :		Optional[Any]    							=      checkpoint[f'{old_prefix}.in_layers.2.bias']
	lowerCAmelCase__      :		Dict    							=      checkpoint[f'{old_prefix}.emb_layers.1.weight']
	lowerCAmelCase__      :		str    							=      checkpoint[f'{old_prefix}.emb_layers.1.bias']
	lowerCAmelCase__      :		Optional[Any]    							=      checkpoint[f'{old_prefix}.out_layers.0.weight']
	lowerCAmelCase__      :		Optional[int]    							=      checkpoint[f'{old_prefix}.out_layers.0.bias']
	lowerCAmelCase__      :		Any    							=      checkpoint[f'{old_prefix}.out_layers.3.weight']
	lowerCAmelCase__      :		int    							=      checkpoint[f'{old_prefix}.out_layers.3.bias']

	if has_skip:
		lowerCAmelCase__      :		Dict    							=      checkpoint[f'{old_prefix}.skip_connection.weight']
		lowerCAmelCase__      :		Tuple    							=      checkpoint[f'{old_prefix}.skip_connection.bias']

	return new_checkpoint

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_		,	A_		,	A_		,	A_=None					):
	lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__      :		Tuple    							=      checkpoint[f'{old_prefix}.qkv.weight'].chunk(3		,	dim=0					)
	lowerCAmelCase__							,lowerCAmelCase__							,lowerCAmelCase__      :		Dict    							=      checkpoint[f'{old_prefix}.qkv.bias'].chunk(3		,	dim=0					)

	lowerCAmelCase__      :		Tuple    							=      checkpoint[f'{old_prefix}.norm.weight']
	lowerCAmelCase__      :		Optional[int]    							=      checkpoint[f'{old_prefix}.norm.bias']

	lowerCAmelCase__      :		Dict    							=      weight_q.squeeze(-1					).squeeze(-1					)
	lowerCAmelCase__      :		Optional[int]    							=      bias_q.squeeze(-1					).squeeze(-1					)
	lowerCAmelCase__      :		int    							=      weight_k.squeeze(-1					).squeeze(-1					)
	lowerCAmelCase__      :		Union[str, Any]    							=      bias_k.squeeze(-1					).squeeze(-1					)
	lowerCAmelCase__      :		Dict    							=      weight_v.squeeze(-1					).squeeze(-1					)
	lowerCAmelCase__      :		Dict    							=      bias_v.squeeze(-1					).squeeze(-1					)

	lowerCAmelCase__      :		int    							=      (
	    checkpoint[f'{old_prefix}.proj_out.weight'].squeeze(-1					).squeeze(-1					)
	)
	lowerCAmelCase__      :		Tuple    							=      checkpoint[f'{old_prefix}.proj_out.bias'].squeeze(-1					).squeeze(-1					)

	return new_checkpoint

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	lowerCAmelCase__      :		Any    							=      torch.load(A_		,	map_location='''cpu'''					)
	lowerCAmelCase__      :		str    							=      {}

	lowerCAmelCase__      :		Union[str, Any]    							=      checkpoint['''time_embed.0.weight''']
	lowerCAmelCase__      :		str    							=      checkpoint['''time_embed.0.bias''']
	lowerCAmelCase__      :		Any    							=      checkpoint['''time_embed.2.weight''']
	lowerCAmelCase__      :		List[str]    							=      checkpoint['''time_embed.2.bias''']

	if unet_config["num_class_embeds"] is not None:
		lowerCAmelCase__      :		Optional[Any]    							=      checkpoint['''label_emb.weight''']

	lowerCAmelCase__      :		Union[str, Any]    							=      checkpoint['''input_blocks.0.0.weight''']
	lowerCAmelCase__      :		Optional[Any]    							=      checkpoint['''input_blocks.0.0.bias''']

	lowerCAmelCase__      :		Optional[int]    							=      unet_config['''down_block_types''']
	lowerCAmelCase__      :		List[str]    							=      unet_config['''layers_per_block''']
	lowerCAmelCase__      :		Any    							=      unet_config['''attention_head_dim''']
	lowerCAmelCase__      :		List[str]    							=      unet_config['''block_out_channels''']
	lowerCAmelCase__      :		Dict    							=      1
	lowerCAmelCase__      :		List[str]    							=      channels_list[0]

	for i, layer_type in enumerate(A_					):
		lowerCAmelCase__      :		List[Any]    							=      channels_list[i]
		lowerCAmelCase__      :		List[str]    							=      current_channels != prev_channels
		if layer_type == "ResnetDownsampleBlock2D":
			for j in range(A_					):
				lowerCAmelCase__      :		Optional[int]    							=      f'down_blocks.{i}.resnets.{j}'
				lowerCAmelCase__      :		Optional[Any]    							=      f'input_blocks.{current_layer}.0'
				lowerCAmelCase__      :		List[str]    							=      True if j == 0 and downsample_block_has_skip else False
				lowerCAmelCase__      :		Optional[int]    							=      convert_resnet(A_		,	A_		,	A_		,	A_		,	has_skip=A_					)
				current_layer += 1

		elif layer_type == "AttnDownBlock2D":
			for j in range(A_					):
				lowerCAmelCase__      :		Optional[int]    							=      f'down_blocks.{i}.resnets.{j}'
				lowerCAmelCase__      :		Tuple    							=      f'input_blocks.{current_layer}.0'
				lowerCAmelCase__      :		Union[str, Any]    							=      True if j == 0 and downsample_block_has_skip else False
				lowerCAmelCase__      :		Dict    							=      convert_resnet(A_		,	A_		,	A_		,	A_		,	has_skip=A_					)
				lowerCAmelCase__      :		str    							=      f'down_blocks.{i}.attentions.{j}'
				lowerCAmelCase__      :		Optional[Any]    							=      f'input_blocks.{current_layer}.1'
				lowerCAmelCase__      :		List[str]    							=      convert_attention(
				    A_		,	A_		,	A_		,	A_		,	A_					)
				current_layer += 1

		if i != len(A_					) - 1:
			lowerCAmelCase__      :		List[str]    							=      f'down_blocks.{i}.downsamplers.0'
			lowerCAmelCase__      :		str    							=      f'input_blocks.{current_layer}.0'
			lowerCAmelCase__      :		Optional[int]    							=      convert_resnet(A_		,	A_		,	A_		,	A_					)
			current_layer += 1

		lowerCAmelCase__      :		str    							=      current_channels

	# hardcoded the mid-block for now
	lowerCAmelCase__      :		List[Any]    							=      '''mid_block.resnets.0'''
	lowerCAmelCase__      :		Optional[int]    							=      '''middle_block.0'''
	lowerCAmelCase__      :		int    							=      convert_resnet(A_		,	A_		,	A_		,	A_					)
	lowerCAmelCase__      :		Dict    							=      '''mid_block.attentions.0'''
	lowerCAmelCase__      :		Tuple    							=      '''middle_block.1'''
	lowerCAmelCase__      :		str    							=      convert_attention(A_		,	A_		,	A_		,	A_		,	A_					)
	lowerCAmelCase__      :		Optional[Any]    							=      '''mid_block.resnets.1'''
	lowerCAmelCase__      :		List[str]    							=      '''middle_block.2'''
	lowerCAmelCase__      :		Optional[int]    							=      convert_resnet(A_		,	A_		,	A_		,	A_					)

	lowerCAmelCase__      :		Dict    							=      0
	lowerCAmelCase__      :		int    							=      unet_config['''up_block_types''']

	for i, layer_type in enumerate(A_					):
		if layer_type == "ResnetUpsampleBlock2D":
			for j in range(layers_per_block + 1					):
				lowerCAmelCase__      :		Dict    							=      f'up_blocks.{i}.resnets.{j}'
				lowerCAmelCase__      :		Tuple    							=      f'output_blocks.{current_layer}.0'
				lowerCAmelCase__      :		Tuple    							=      convert_resnet(A_		,	A_		,	A_		,	A_		,	has_skip=A_					)
				current_layer += 1

			if i != len(A_					) - 1:
				lowerCAmelCase__      :		Any    							=      f'up_blocks.{i}.upsamplers.0'
				lowerCAmelCase__      :		List[Any]    							=      f'output_blocks.{current_layer-1}.1'
				lowerCAmelCase__      :		Optional[int]    							=      convert_resnet(A_		,	A_		,	A_		,	A_					)
		elif layer_type == "AttnUpBlock2D":
			for j in range(layers_per_block + 1					):
				lowerCAmelCase__      :		Union[str, Any]    							=      f'up_blocks.{i}.resnets.{j}'
				lowerCAmelCase__      :		int    							=      f'output_blocks.{current_layer}.0'
				lowerCAmelCase__      :		List[str]    							=      convert_resnet(A_		,	A_		,	A_		,	A_		,	has_skip=A_					)
				lowerCAmelCase__      :		Tuple    							=      f'up_blocks.{i}.attentions.{j}'
				lowerCAmelCase__      :		Union[str, Any]    							=      f'output_blocks.{current_layer}.1'
				lowerCAmelCase__      :		Dict    							=      convert_attention(
				    A_		,	A_		,	A_		,	A_		,	A_					)
				current_layer += 1

			if i != len(A_					) - 1:
				lowerCAmelCase__      :		List[Any]    							=      f'up_blocks.{i}.upsamplers.0'
				lowerCAmelCase__      :		Optional[Any]    							=      f'output_blocks.{current_layer-1}.2'
				lowerCAmelCase__      :		Tuple    							=      convert_resnet(A_		,	A_		,	A_		,	A_					)

	lowerCAmelCase__      :		Union[str, Any]    							=      checkpoint['''out.0.weight''']
	lowerCAmelCase__      :		int    							=      checkpoint['''out.0.bias''']
	lowerCAmelCase__      :		Union[str, Any]    							=      checkpoint['''out.2.weight''']
	lowerCAmelCase__      :		List[str]    							=      checkpoint['''out.2.bias''']

	return new_checkpoint


if __name__ == "__main__":
							__UpperCamelCase    : Any				 =						argparse.ArgumentParser()

							parser.add_argument('''--unet_path''', default=None, type=str, required=True, help='''Path to the unet.pt to convert.''')
							parser.add_argument(
							    '''--dump_path''', default=None, type=str, required=True, help='''Path to output the converted UNet model.'''
							)
							parser.add_argument('''--class_cond''', default=True, type=str, help='''Whether the model is class-conditional.''')

							__UpperCamelCase    : Dict				 =						parser.parse_args()
							__UpperCamelCase    : Dict				 =						strabool(args.class_cond)

							__UpperCamelCase    : List[str]				 =						os.path.basename(args.unet_path)
							print(F'''Checkpoint: {ckpt_name}''')

							# Get U-Net config
							if "imagenet64" in ckpt_name:
														__UpperCamelCase    : Dict				 =						IMAGENET_64_UNET_CONFIG
							elif "256" in ckpt_name and (("bedroom" in ckpt_name) or ("cat" in ckpt_name)):
														__UpperCamelCase    : str				 =						LSUN_256_UNET_CONFIG
							elif "test" in ckpt_name:
														__UpperCamelCase    : Optional[Any]				 =						TEST_UNET_CONFIG
							else:
														raise ValueError(F'''Checkpoint type {ckpt_name} is not currently supported.''')

							if not args.class_cond:
														__UpperCamelCase    : int				 =						None

							__UpperCamelCase    : Tuple				 =						con_pt_to_diffuser(args.unet_path, unet_config)

							__UpperCamelCase    : Optional[Any]				 =						UNetaDModel(**unet_config)
							image_unet.load_state_dict(converted_unet_ckpt)

							# Get scheduler config
							if "cd" in ckpt_name or "test" in ckpt_name:
														__UpperCamelCase    : List[Any]				 =						CD_SCHEDULER_CONFIG
							elif "ct" in ckpt_name and "imagenet64" in ckpt_name:
														__UpperCamelCase    : Optional[Any]				 =						CT_IMAGENET_64_SCHEDULER_CONFIG
							elif "ct" in ckpt_name and "256" in ckpt_name and (("bedroom" in ckpt_name) or ("cat" in ckpt_name)):
														__UpperCamelCase    : List[Any]				 =						CT_LSUN_256_SCHEDULER_CONFIG
							else:
														raise ValueError(F'''Checkpoint type {ckpt_name} is not currently supported.''')

							__UpperCamelCase    : Dict				 =						CMStochasticIterativeScheduler(**scheduler_config)

							__UpperCamelCase    : Any				 =						ConsistencyModelPipeline(unet=image_unet, scheduler=cm_scheduler)
							consistency_model.save_pretrained(args.dump_path)







"""simple docstring"""





from collections import deque
from math import floor
from random import random
from time import time







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Union[str, Any]						):
						lowerCAmelCase__      :		List[str]    							=      {}







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							Optional[Any]  ,lowercase_     :							str  ,lowercase_     :							List[str]=1						):
						if self.graph.get(lowercase_						):
							if self.graph[u].count([w, v]						) == 0:
								self.graph[u].append([w, v]						)
						else:
							lowerCAmelCase__      :		Optional[int]    							=      [[w, v]]
						if not self.graph.get(lowercase_						):
							lowerCAmelCase__      :		Union[str, Any]    							=      []







					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						return list(self.graph						)







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Tuple  ,lowercase_     :							Tuple						):
						if self.graph.get(lowercase_						):
							for _ in self.graph[u]:
								if _[1] == v:
									self.graph[u].remove(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Any=-2  ,lowercase_     :							List[Any]=-1						):
						if s == d:
							return []
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		List[Any]    							=      []
						if s == -2:
							lowerCAmelCase__      :		int    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		int    							=      s

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		List[Any]    							=      s
								for node in self.graph[s]:
									if visited.count(node[1]						) < 1:
										if node[1] == d:
											visited.append(lowercase_						)
											return visited
										else:
											stack.append(node[1]						)
											visited.append(node[1]						)
											lowerCAmelCase__      :		Optional[int]    							=      node[1]
											break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		str    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		Union[str, Any]    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return visited







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Optional[Any]=-1						):
						if c == -1:
							lowerCAmelCase__      :		Any    							=      floor(random() * 1_0_0_0_0						) + 1_0
						for i in range(lowercase_						):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 1_0_2						) + 1						):
								lowerCAmelCase__      :		Any    							=      floor(random() * c						) + 1
								if n != i:
									self.add_pair(lowercase_  ,lowercase_  ,1						)







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							Union[str, Any]=-2						):
						lowerCAmelCase__      :		Tuple    							=      deque()
						lowerCAmelCase__      :		Tuple    							=      []
						if s == -2:
							lowerCAmelCase__      :		Any    							=      list(self.graph						)[0]
						d.append(lowercase_						)
						visited.append(lowercase_						)
						while d:
							lowerCAmelCase__      :		Dict    							=      d.popleft()
							if len(self.graph[s]						) != 0:
								for node in self.graph[s]:
									if visited.count(node[1]						) < 1:
										d.append(node[1]						)
										visited.append(node[1]						)
						return visited







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							Optional[Any]						):
						lowerCAmelCase__      :		Optional[Any]    							=      0
						for x in self.graph:
							for y in self.graph[x]:
								if y[1] == u:
									count += 1
						return count







					def 			__lowerCAmelCase					(			self     :							str  ,lowercase_     :							Optional[int]						):
						return len(self.graph[u]						)







					def 			__lowerCAmelCase					(			self     :							List[str]  ,lowercase_     :							List[str]=-2						):
						lowerCAmelCase__      :		Union[str, Any]    							=      []
						lowerCAmelCase__      :		Any    							=      []
						if s == -2:
							lowerCAmelCase__      :		Any    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		Tuple    							=      s
						lowerCAmelCase__      :		Optional[int]    							=      []

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		Optional[Any]    							=      s
								for node in self.graph[s]:
									if visited.count(node[1]						) < 1:
										stack.append(node[1]						)
										visited.append(node[1]						)
										lowerCAmelCase__      :		Dict    							=      node[1]
										break

            # check if all the children are visited
							if s == ss:
								sorted_nodes.append(stack.pop()						)
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		Union[str, Any]    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		int    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return sorted_nodes







					def 			__lowerCAmelCase					(			self     :							List[Any]						):
						lowerCAmelCase__      :		str    							=      []
						lowerCAmelCase__      :		List[str]    							=      []
						lowerCAmelCase__      :		int    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		List[Any]    							=      -2
						lowerCAmelCase__      :		str    							=      []
						lowerCAmelCase__      :		Optional[Any]    							=      s
						lowerCAmelCase__      :		Union[str, Any]    							=      False
						lowerCAmelCase__      :		Optional[int]    							=      set()

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		List[str]    							=      s
								for node in self.graph[s]:
									if (
									    visited.count(node[1]						) > 0
									    and node[1] != parent
									    and indirect_parents.count(node[1]						) > 0
									    and not on_the_way_back
									):
										lowerCAmelCase__      :		List[Any]    							=      len(lowercase_						) - 1
										while len_stack >= 0:
											if stack[len_stack] == node[1]:
												anticipating_nodes.add(node[1]						)
												break
											else:
												anticipating_nodes.add(stack[len_stack]						)
												len_stack -= 1
									if visited.count(node[1]						) < 1:
										stack.append(node[1]						)
										visited.append(node[1]						)
										lowerCAmelCase__      :		Optional[int]    							=      node[1]
										break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								lowerCAmelCase__      :		str    							=      True
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		Tuple    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		int    							=      False
								indirect_parents.append(lowercase_						)
								lowerCAmelCase__      :		str    							=      s
								lowerCAmelCase__      :		Tuple    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return list(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							int						):
						lowerCAmelCase__      :		Tuple    							=      []
						lowerCAmelCase__      :		Tuple    							=      []
						lowerCAmelCase__      :		Any    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		List[str]    							=      -2
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		int    							=      s
						lowerCAmelCase__      :		List[Any]    							=      False
						lowerCAmelCase__      :		List[str]    							=      set()

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		Optional[int]    							=      s
								for node in self.graph[s]:
									if (
									    visited.count(node[1]						) > 0
									    and node[1] != parent
									    and indirect_parents.count(node[1]						) > 0
									    and not on_the_way_back
									):
										lowerCAmelCase__      :		List[Any]    							=      len(lowercase_						) - 1
										while len_stack_minus_one >= 0:
											if stack[len_stack_minus_one] == node[1]:
												anticipating_nodes.add(node[1]						)
												break
											else:
												return True
									if visited.count(node[1]						) < 1:
										stack.append(node[1]						)
										visited.append(node[1]						)
										lowerCAmelCase__      :		Optional[Any]    							=      node[1]
										break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								lowerCAmelCase__      :		List[str]    							=      True
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		Dict    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		Union[str, Any]    							=      False
								indirect_parents.append(lowercase_						)
								lowerCAmelCase__      :		Tuple    							=      s
								lowerCAmelCase__      :		Union[str, Any]    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return False







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							List[Any]=-2  ,lowercase_     :							Union[str, Any]=-1						):
						lowerCAmelCase__      :		Optional[int]    							=      time()
						self.dfs(lowercase_  ,lowercase_						)
						lowerCAmelCase__      :		Any    							=      time()
						return end - begin







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Dict=-2						):
						lowerCAmelCase__      :		List[str]    							=      time()
						self.bfs(lowercase_						)
						lowerCAmelCase__      :		List[Any]    							=      time()
						return end - begin







class 							SCREAMING_SNAKE_CASE   :






					"""simple docstring"""



					def __init__(			self     :							Union[str, Any]						):
						lowerCAmelCase__      :		Tuple    							=      {}







					def 			__lowerCAmelCase					(			self     :							List[Any]  ,lowercase_     :							Optional[int]  ,lowercase_     :							Dict  ,lowercase_     :							Any=1						):
						# check if the u exists
						if self.graph.get(lowercase_						):
							# if there already is a edge
							if self.graph[u].count([w, v]						) == 0:
								self.graph[u].append([w, v]						)
						else:
							# if u does not exist
							lowerCAmelCase__      :		List[Any]    							=      [[w, v]]
						# add the other way
						if self.graph.get(lowercase_						):
							# if there already is a edge
							if self.graph[v].count([w, u]						) == 0:
								self.graph[v].append([w, u]						)
						else:
							# if u does not exist
							lowerCAmelCase__      :		int    							=      [[w, u]]







					def 			__lowerCAmelCase					(			self     :							Dict  ,lowercase_     :							Union[str, Any]  ,lowercase_     :							Dict						):
						if self.graph.get(lowercase_						):
							for _ in self.graph[u]:
								if _[1] == v:
									self.graph[u].remove(lowercase_						)
        # the other way round
						if self.graph.get(lowercase_						):
							for _ in self.graph[v]:
								if _[1] == u:
									self.graph[v].remove(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							int  ,lowercase_     :							Optional[int]=-2  ,lowercase_     :							str=-1						):
						if s == d:
							return []
						lowerCAmelCase__      :		Optional[Any]    							=      []
						lowerCAmelCase__      :		Any    							=      []
						if s == -2:
							lowerCAmelCase__      :		Tuple    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		int    							=      s

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		Optional[int]    							=      s
								for node in self.graph[s]:
									if visited.count(node[1]						) < 1:
										if node[1] == d:
											visited.append(lowercase_						)
											return visited
										else:
											stack.append(node[1]						)
											visited.append(node[1]						)
											lowerCAmelCase__      :		List[str]    							=      node[1]
											break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		str    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		Dict    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return visited







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							List[Any]=-1						):
						if c == -1:
							lowerCAmelCase__      :		str    							=      floor(random() * 1_0_0_0_0						) + 1_0
						for i in range(lowercase_						):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 1_0_2						) + 1						):
								lowerCAmelCase__      :		List[str]    							=      floor(random() * c						) + 1
								if n != i:
									self.add_pair(lowercase_  ,lowercase_  ,1						)







					def 			__lowerCAmelCase					(			self     :							Optional[Any]  ,lowercase_     :							List[Any]=-2						):
						lowerCAmelCase__      :		Tuple    							=      deque()
						lowerCAmelCase__      :		List[Any]    							=      []
						if s == -2:
							lowerCAmelCase__      :		Tuple    							=      list(self.graph						)[0]
						d.append(lowercase_						)
						visited.append(lowercase_						)
						while d:
							lowerCAmelCase__      :		Any    							=      d.popleft()
							if len(self.graph[s]						) != 0:
								for node in self.graph[s]:
									if visited.count(node[1]						) < 1:
										d.append(node[1]						)
										visited.append(node[1]						)
						return visited







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Any						):
						return len(self.graph[u]						)







					def 			__lowerCAmelCase					(			self     :							Any						):
						lowerCAmelCase__      :		List[Any]    							=      []
						lowerCAmelCase__      :		int    							=      []
						lowerCAmelCase__      :		List[Any]    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		Optional[int]    							=      -2
						lowerCAmelCase__      :		List[str]    							=      []
						lowerCAmelCase__      :		Tuple    							=      s
						lowerCAmelCase__      :		Tuple    							=      False
						lowerCAmelCase__      :		Union[str, Any]    							=      set()

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		Union[str, Any]    							=      s
								for node in self.graph[s]:
									if (
									    visited.count(node[1]						) > 0
									    and node[1] != parent
									    and indirect_parents.count(node[1]						) > 0
									    and not on_the_way_back
									):
										lowerCAmelCase__      :		Tuple    							=      len(lowercase_						) - 1
										while len_stack >= 0:
											if stack[len_stack] == node[1]:
												anticipating_nodes.add(node[1]						)
												break
											else:
												anticipating_nodes.add(stack[len_stack]						)
												len_stack -= 1
									if visited.count(node[1]						) < 1:
										stack.append(node[1]						)
										visited.append(node[1]						)
										lowerCAmelCase__      :		Optional[int]    							=      node[1]
										break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								lowerCAmelCase__      :		Optional[int]    							=      True
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		str    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		Tuple    							=      False
								indirect_parents.append(lowercase_						)
								lowerCAmelCase__      :		Optional[int]    							=      s
								lowerCAmelCase__      :		Optional[int]    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return list(lowercase_						)







					def 			__lowerCAmelCase					(			self     :							Optional[Any]						):
						lowerCAmelCase__      :		Optional[Any]    							=      []
						lowerCAmelCase__      :		Union[str, Any]    							=      []
						lowerCAmelCase__      :		Tuple    							=      list(self.graph						)[0]
						stack.append(lowercase_						)
						visited.append(lowercase_						)
						lowerCAmelCase__      :		Dict    							=      -2
						lowerCAmelCase__      :		Union[str, Any]    							=      []
						lowerCAmelCase__      :		Optional[Any]    							=      s
						lowerCAmelCase__      :		Any    							=      False
						lowerCAmelCase__      :		Optional[int]    							=      set()

						while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]						) != 0:
								lowerCAmelCase__      :		str    							=      s
								for node in self.graph[s]:
									if (
									    visited.count(node[1]						) > 0
									    and node[1] != parent
									    and indirect_parents.count(node[1]						) > 0
									    and not on_the_way_back
									):
										lowerCAmelCase__      :		str    							=      len(lowercase_						) - 1
										while len_stack_minus_one >= 0:
											if stack[len_stack_minus_one] == node[1]:
												anticipating_nodes.add(node[1]						)
												break
											else:
												return True
									if visited.count(node[1]						) < 1:
										stack.append(node[1]						)
										visited.append(node[1]						)
										lowerCAmelCase__      :		List[str]    							=      node[1]
										break

            # check if all the children are visited
							if s == ss:
								stack.pop()
								lowerCAmelCase__      :		List[Any]    							=      True
								if len(lowercase_						) != 0:
									lowerCAmelCase__      :		List[str]    							=      stack[len(lowercase_						) - 1]
							else:
								lowerCAmelCase__      :		List[str]    							=      False
								indirect_parents.append(lowercase_						)
								lowerCAmelCase__      :		Optional[int]    							=      s
								lowerCAmelCase__      :		List[Any]    							=      ss

							# check if se have reached the starting point
							if len(lowercase_						) == 0:
								return False







					def 			__lowerCAmelCase					(			self     :							str						):
						return list(self.graph						)







					def 			__lowerCAmelCase					(			self     :							Any  ,lowercase_     :							Optional[int]=-2  ,lowercase_     :							Any=-1						):
						lowerCAmelCase__      :		Dict    							=      time()
						self.dfs(lowercase_  ,lowercase_						)
						lowerCAmelCase__      :		List[str]    							=      time()
						return end - begin







					def 			__lowerCAmelCase					(			self     :							Union[str, Any]  ,lowercase_     :							int=-2						):
						lowerCAmelCase__      :		Dict    							=      time()
						self.bfs(lowercase_						)
						lowerCAmelCase__      :		Any    							=      time()
						return end - begin




