'''simple docstring'''




import argparse
import io

import requests
import torch
from omegaconf import OmegaConf

from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
    assign_to_checkpoint,
    conv_attn_to_linear,
    create_vae_diffusers_config,
    renew_vae_attention_paths,
    renew_vae_resnet_paths,
)




def 							lowerCamelCase	(      UpperCAmelCase__       :					Dict      ,      UpperCAmelCase__       :					Tuple )			->      Optional[Any]:
							lowercase_					:			Tuple										=       checkpoint

							lowercase_					:			Tuple										=       {}

							lowercase_					:			Any										=       vae_state_dict["""encoder.conv_in.weight"""]
							lowercase_					:			List[str]										=       vae_state_dict["""encoder.conv_in.bias"""]
							lowercase_					:			str										=       vae_state_dict["""encoder.conv_out.weight"""]
							lowercase_					:			Optional[Any]										=       vae_state_dict["""encoder.conv_out.bias"""]
							lowercase_					:			Dict										=       vae_state_dict["""encoder.norm_out.weight"""]
							lowercase_					:			int										=       vae_state_dict["""encoder.norm_out.bias"""]

							lowercase_					:			List[str]										=       vae_state_dict["""decoder.conv_in.weight"""]
							lowercase_					:			List[str]										=       vae_state_dict["""decoder.conv_in.bias"""]
							lowercase_					:			Union[str, Any]										=       vae_state_dict["""decoder.conv_out.weight"""]
							lowercase_					:			Any										=       vae_state_dict["""decoder.conv_out.bias"""]
							lowercase_					:			Tuple										=       vae_state_dict["""decoder.norm_out.weight"""]
							lowercase_					:			str										=       vae_state_dict["""decoder.norm_out.bias"""]

							lowercase_					:			Tuple										=       vae_state_dict["""quant_conv.weight"""]
							lowercase_					:			Tuple										=       vae_state_dict["""quant_conv.bias"""]
							lowercase_					:			List[Any]										=       vae_state_dict["""post_quant_conv.weight"""]
							lowercase_					:			Union[str, Any]										=       vae_state_dict["""post_quant_conv.bias"""]

							# Retrieves the keys for the encoder down blocks only
							lowercase_					:			List[Any]										=       len({""".""".join(layer.split(""".""" )[:3] ) for layer in vae_state_dict if """encoder.down""" in layer} )
							lowercase_					:			int										=       {
							    layer_id: [key for key in vae_state_dict if F'''down.{layer_id}''' in key] for layer_id in range(UpperCAmelCase__ )
							}

							# Retrieves the keys for the decoder up blocks only
							lowercase_					:			Optional[Any]										=       len({""".""".join(layer.split(""".""" )[:3] ) for layer in vae_state_dict if """decoder.up""" in layer} )
							lowercase_					:			Tuple										=       {
							    layer_id: [key for key in vae_state_dict if F'''up.{layer_id}''' in key] for layer_id in range(UpperCAmelCase__ )
							}

							for i in range(UpperCAmelCase__ ):
														lowercase_					:			List[str]										=       [key for key in down_blocks[i] if F'''down.{i}''' in key and F'''down.{i}.downsample''' not in key]

														if F'''encoder.down.{i}.downsample.conv.weight''' in vae_state_dict:
																					lowercase_					:			Optional[int]										=       vae_state_dict.pop(
																					    F'''encoder.down.{i}.downsample.conv.weight''' )
																					lowercase_					:			Any										=       vae_state_dict.pop(
																					    F'''encoder.down.{i}.downsample.conv.bias''' )

														lowercase_					:			int										=       renew_vae_resnet_paths(UpperCAmelCase__ )
														lowercase_					:			Any										=       {"""old""": F'''down.{i}.block''', """new""": F'''down_blocks.{i}.resnets'''}
														assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )

							lowercase_					:			int										=       [key for key in vae_state_dict if """encoder.mid.block""" in key]
							lowercase_					:			Union[str, Any]										=       2
							for i in range(1      ,      num_mid_res_blocks + 1 ):
														lowercase_					:			List[Any]										=       [key for key in mid_resnets if F'''encoder.mid.block_{i}''' in key]

														lowercase_					:			Tuple										=       renew_vae_resnet_paths(UpperCAmelCase__ )
														lowercase_					:			str										=       {"""old""": F'''mid.block_{i}''', """new""": F'''mid_block.resnets.{i - 1}'''}
														assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )

							lowercase_					:			str										=       [key for key in vae_state_dict if """encoder.mid.attn""" in key]
							lowercase_					:			Optional[Any]										=       renew_vae_attention_paths(UpperCAmelCase__ )
							lowercase_					:			List[str]										=       {"""old""": """mid.attn_1""", """new""": """mid_block.attentions.0"""}
							assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )
							conv_attn_to_linear(UpperCAmelCase__ )

							for i in range(UpperCAmelCase__ ):
														lowercase_					:			Dict										=       num_up_blocks - 1 - i
														lowercase_					:			Union[str, Any]										=       [
														    key for key in up_blocks[block_id] if F'''up.{block_id}''' in key and F'''up.{block_id}.upsample''' not in key
														]

														if F'''decoder.up.{block_id}.upsample.conv.weight''' in vae_state_dict:
																					lowercase_					:			Optional[int]										=       vae_state_dict[
																					    F'''decoder.up.{block_id}.upsample.conv.weight'''
																					]
																					lowercase_					:			Optional[Any]										=       vae_state_dict[
																					    F'''decoder.up.{block_id}.upsample.conv.bias'''
																					]

														lowercase_					:			Any										=       renew_vae_resnet_paths(UpperCAmelCase__ )
														lowercase_					:			Dict										=       {"""old""": F'''up.{block_id}.block''', """new""": F'''up_blocks.{i}.resnets'''}
														assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )

							lowercase_					:			str										=       [key for key in vae_state_dict if """decoder.mid.block""" in key]
							lowercase_					:			Tuple										=       2
							for i in range(1      ,      num_mid_res_blocks + 1 ):
														lowercase_					:			str										=       [key for key in mid_resnets if F'''decoder.mid.block_{i}''' in key]

														lowercase_					:			List[str]										=       renew_vae_resnet_paths(UpperCAmelCase__ )
														lowercase_					:			Union[str, Any]										=       {"""old""": F'''mid.block_{i}''', """new""": F'''mid_block.resnets.{i - 1}'''}
														assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )

							lowercase_					:			List[str]										=       [key for key in vae_state_dict if """decoder.mid.attn""" in key]
							lowercase_					:			List[Any]										=       renew_vae_attention_paths(UpperCAmelCase__ )
							lowercase_					:			int										=       {"""old""": """mid.attn_1""", """new""": """mid_block.attentions.0"""}
							assign_to_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__      ,      UpperCAmelCase__      ,      additional_replacements=[meta_path]      ,      config=UpperCAmelCase__ )
							conv_attn_to_linear(UpperCAmelCase__ )
							return new_checkpoint




def 							lowerCamelCase	(      UpperCAmelCase__       :					str      ,      UpperCAmelCase__       :					str      ,      )			->      str:
							# Only support V1
							lowercase_					:			Union[str, Any]										=       requests.get(
							    """ https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml""" )
							lowercase_					:			Optional[int]										=       io.BytesIO(r.content )

							lowercase_					:			Union[str, Any]										=       OmegaConf.load(UpperCAmelCase__ )
							lowercase_					:			List[Any]										=       512
							lowercase_					:			int										=       """cuda""" if torch.cuda.is_available() else """cpu"""
							if checkpoint_path.endswith("""safetensors""" ):
														from safetensors import safe_open

														lowercase_					:			Optional[Any]										=       {}
														with safe_open(UpperCAmelCase__      ,      framework="""pt"""      ,      device="""cpu""" ) as f:
																					for key in f.keys():
																												lowercase_					:			List[str]										=       f.get_tensor(UpperCAmelCase__ )
							else:
														lowercase_					:			str										=       torch.load(UpperCAmelCase__      ,      map_location=UpperCAmelCase__ )["""state_dict"""]

							# Convert the VAE model.
							lowercase_					:			List[str]										=       create_vae_diffusers_config(UpperCAmelCase__      ,      image_size=UpperCAmelCase__ )
							lowercase_					:			Dict										=       custom_convert_ldm_vae_checkpoint(UpperCAmelCase__      ,      UpperCAmelCase__ )

							lowercase_					:			List[Any]										=       AutoencoderKL(**UpperCAmelCase__ )
							vae.load_state_dict(UpperCAmelCase__ )
							vae.save_pretrained(UpperCAmelCase__ )


if __name__ == "__main__":
						_lowercase						: str						=						argparse.ArgumentParser()

						parser.add_argument("--vae_pt_path", default=None, type=str, required=True, help="Path to the VAE.pt to convert.")
						parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the VAE.pt to convert.")

						_lowercase						: List[str]						=						parser.parse_args()

						vae_pt_to_vae_diffuser(args.vae_pt_path, args.dump_path)






'''simple docstring'''




from __future__ import annotations

import math
import random
from typing import Any





class     __magic_name__						:







			def __init__(	self				:  Any    ):
										lowercase_					:			list[Any]										=       []
										lowercase_					:			int										=       0
										lowercase_					:			int										=       0







			def 	SCREAMING_SNAKE_CASE_     (	self				:  int    ):
										return self.head == self.tail







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]				,			lowercase_				:  Any    ):
										self.data.append(lowercase_    )
										lowercase_					:			Optional[Any]										=       self.tail + 1







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[Any]    ):
										lowercase_					:			List[Any]										=       self.data[self.head]
										lowercase_					:			Optional[int]										=       self.head + 1
										return ret







			def 	SCREAMING_SNAKE_CASE_     (	self				:  List[str]    ):
										return self.tail - self.head







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										print(self.data    )
										print("""**************"""    )
										print(self.data[self.head : self.tail]    )





class     __magic_name__						:







			def __init__(	self				:  Any				,			lowercase_				:  Any    ):
										lowercase_					:			Optional[Any]										=       data
										lowercase_					:			MyNode | None										=       None
										lowercase_					:			MyNode | None										=       None
										lowercase_					:			int										=       1







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple    ):
										return self.data







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]    ):
										return self.left







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Dict    ):
										return self.right







			def 	SCREAMING_SNAKE_CASE_     (	self				:  str    ):
										return self.height







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										lowercase_					:			Dict										=       data







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Union[str, Any]				,			lowercase_				:  MyNode | None    ):
										lowercase_					:			Optional[Any]										=       node







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Tuple				,			lowercase_				:  MyNode | None    ):
										lowercase_					:			str										=       node







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  int    ):
										lowercase_					:			Tuple										=       height




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode | None )			->      int:
							if node is None:
														return 0
							return node.get_height()




def 							lowerCamelCase	(      UpperCAmelCase__       :					int      ,      UpperCAmelCase__       :					int )			->      int:
							if a > b:
														return a
							return b




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							print("""left rotation node:"""      ,      node.get_data() )
							lowercase_					:			Union[str, Any]										=       node.get_left()
							assert ret is not None
							node.set_left(ret.get_right() )
							ret.set_right(UpperCAmelCase__ )
							lowercase_					:			Any										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							lowercase_					:			Optional[int]										=       my_max(get_height(ret.get_right() )      ,      get_height(ret.get_left() ) ) + 1
							ret.set_height(UpperCAmelCase__ )
							return ret




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							print("""right rotation node:"""      ,      node.get_data() )
							lowercase_					:			Dict										=       node.get_right()
							assert ret is not None
							node.set_right(ret.get_left() )
							ret.set_left(UpperCAmelCase__ )
							lowercase_					:			Tuple										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							lowercase_					:			str										=       my_max(get_height(ret.get_right() )      ,      get_height(ret.get_left() ) ) + 1
							ret.set_height(UpperCAmelCase__ )
							return ret




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							lowercase_					:			Optional[Any]										=       node.get_left()
							assert left_child is not None
							node.set_left(left_rotation(UpperCAmelCase__ ) )
							return right_rotation(UpperCAmelCase__ )




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      MyNode:
							lowercase_					:			Optional[Any]										=       node.get_right()
							assert right_child is not None
							node.set_right(right_rotation(UpperCAmelCase__ ) )
							return left_rotation(UpperCAmelCase__ )




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode | None      ,      UpperCAmelCase__       :					Any )			->      MyNode | None:
							if node is None:
														return MyNode(UpperCAmelCase__ )
							if data < node.get_data():
														node.set_left(insert_node(node.get_left()      ,      UpperCAmelCase__ ) )
														if (
														    get_height(node.get_left() ) - get_height(node.get_right() ) == 2
														):  # an unbalance detected
																					lowercase_					:			List[Any]										=       node.get_left()
																					assert left_child is not None
																					if (
																					    data < left_child.get_data()
																					):  # new node is the left child of the left child
																												lowercase_					:			List[Any]										=       right_rotation(UpperCAmelCase__ )
																					else:
																												lowercase_					:			Any										=       lr_rotation(UpperCAmelCase__ )
							else:
														node.set_right(insert_node(node.get_right()      ,      UpperCAmelCase__ ) )
														if get_height(node.get_right() ) - get_height(node.get_left() ) == 2:
																					lowercase_					:			Any										=       node.get_right()
																					assert right_child is not None
																					if data < right_child.get_data():
																												lowercase_					:			Optional[int]										=       rl_rotation(UpperCAmelCase__ )
																					else:
																												lowercase_					:			Optional[int]										=       left_rotation(UpperCAmelCase__ )
							lowercase_					:			Optional[int]										=       my_max(get_height(node.get_right() )      ,      get_height(node.get_left() ) ) + 1
							node.set_height(UpperCAmelCase__ )
							return node




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      Any:
							while True:
														lowercase_					:			Any										=       root.get_right()
														if right_child is None:
																					break
														lowercase_					:			List[str]										=       right_child
							return root.get_data()




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode )			->      Any:
							while True:
														lowercase_					:			List[Any]										=       root.get_left()
														if left_child is None:
																					break
														lowercase_					:			str										=       left_child
							return root.get_data()




def 							lowerCamelCase	(      UpperCAmelCase__       :					MyNode      ,      UpperCAmelCase__       :					Any )			->      MyNode | None:
							lowercase_					:			Union[str, Any]										=       root.get_left()
							lowercase_					:			int										=       root.get_right()
							if root.get_data() == data:
														if left_child is not None and right_child is not None:
																					lowercase_					:			Any										=       get_left_most(UpperCAmelCase__ )
																					root.set_data(UpperCAmelCase__ )
																					root.set_right(del_node(UpperCAmelCase__      ,      UpperCAmelCase__ ) )
														elif left_child is not None:
																					lowercase_					:			Dict										=       left_child
														elif right_child is not None:
																					lowercase_					:			Dict										=       right_child
														else:
																					return None
							elif root.get_data() > data:
														if left_child is None:
																					print("""No such data""" )
																					return root
														else:
																					root.set_left(del_node(UpperCAmelCase__      ,      UpperCAmelCase__ ) )
							else:  # root.get_data() < data
														if right_child is None:
																					return root
														else:
																					root.set_right(del_node(UpperCAmelCase__      ,      UpperCAmelCase__ ) )

							if get_height(UpperCAmelCase__ ) - get_height(UpperCAmelCase__ ) == 2:
														assert right_child is not None
														if get_height(right_child.get_right() ) > get_height(right_child.get_left() ):
																					lowercase_					:			str										=       left_rotation(UpperCAmelCase__ )
														else:
																					lowercase_					:			List[str]										=       rl_rotation(UpperCAmelCase__ )
							elif get_height(UpperCAmelCase__ ) - get_height(UpperCAmelCase__ ) == -2:
														assert left_child is not None
														if get_height(left_child.get_left() ) > get_height(left_child.get_right() ):
																					lowercase_					:			Optional[Any]										=       right_rotation(UpperCAmelCase__ )
														else:
																					lowercase_					:			List[str]										=       lr_rotation(UpperCAmelCase__ )
							lowercase_					:			int										=       my_max(get_height(root.get_right() )      ,      get_height(root.get_left() ) ) + 1
							root.set_height(UpperCAmelCase__ )
							return root





class     __magic_name__						:







			def __init__(	self				:  List[str]    ):
										lowercase_					:			MyNode | None										=       None







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Optional[int]    ):
										return get_height(self.root    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										print("""insert:""" + str(lowercase_    )    )
										lowercase_					:			Dict										=       insert_node(self.root				,			lowercase_    )







			def 	SCREAMING_SNAKE_CASE_     (	self				:  Any				,			lowercase_				:  Any    ):
										print("""delete:""" + str(lowercase_    )    )
										if self.root is None:
																	print("""Tree is empty!"""    )
																	return
										lowercase_					:			int										=       del_node(self.root				,			lowercase_    )







			def __str__(	self				:  Optional[int]				,			):  # a level traversale, gives a more intuitive look on the tree
										lowercase_					:			int										=       """"""
										lowercase_					:			Optional[int]										=       MyQueue()
										q.push(self.root    )
										lowercase_					:			Optional[Any]										=       self.get_height()
										if layer == 0:
																	return output
										lowercase_					:			Optional[int]										=       0
										while not q.is_empty():
																	lowercase_					:			Any										=       q.pop()
																	lowercase_					:			List[Any]										=       """ """ * int(math.pow(2				,			layer - 1    )    )
																	output += space
																	if node is None:
																								output += "*"
																								q.push(lowercase_    )
																								q.push(lowercase_    )
																	else:
																								output += str(node.get_data()    )
																								q.push(node.get_left()    )
																								q.push(node.get_right()    )
																	output += space
																	lowercase_					:			Union[str, Any]										=       cnt + 1
																	for i in range(100    ):
																								if cnt == math.pow(2				,			lowercase_    ) - 1:
																															lowercase_					:			Optional[Any]										=       layer - 1
																															if layer == 0:
																																						output += "\n*************************************"
																																						return output
																															output += "\n"
																															break
										output += "\n*************************************"
										return output




def 							lowerCamelCase	(      )			->      None:
							import doctest

							doctest.testmod()


if __name__ == "__main__":
						_test()
						_lowercase						: Optional[Any]						=						AVLtree()
						_lowercase						: Optional[Any]						=						list(range(10))
						random.shuffle(lst)
						for i in lst:
												t.insert(i)
												print(str(t))
						random.shuffle(lst)
						for i in lst:
												t.del_node(i)
												print(str(t))





