




'''simple docstring'''
from __future__ import annotations

import unittest
from collections.abc import Iterator






class        SCREAMING_SNAKE_CASE:

       def __init__(    self					,		lowerCamelCase__					,		lowerCamelCase__     )    ->					None:

           """simple docstring"""



           __lowercase							=						label
           __lowercase							=						parent
           __lowercase							=						None
           __lowercase							=						None






class        SCREAMING_SNAKE_CASE:

       def __init__(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						None

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						None

       def     snake_case__			(    self     )    ->					bool:

           """simple docstring"""



           return self.root is None

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._put(self.root					,		_a     )

       def     snake_case__			(    self					,		lowerCamelCase__					,		lowerCamelCase__					,		lowerCamelCase__ = None     )    ->					Node:

           """simple docstring"""



           if node is None:
               __lowercase							=						Node(_a					,		_a     )
           else:
               if label < node.label:
                   __lowercase							=						self._put(node.left					,		_a					,		_a     )
               elif label > node.label:
                   __lowercase							=						self._put(node.right					,		_a					,		_a     )
               else:
                   __lowercase							=						F'Node with label {label} already exists'
                   raise Exception(_a     )

           return node

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					Node:

           """simple docstring"""



           return self._search(self.root					,		_a     )

       def     snake_case__			(    self					,		lowerCamelCase__					,		lowerCamelCase__     )    ->					Node:

           """simple docstring"""



           if node is None:
               __lowercase							=						F'Node with label {label} does not exist'
               raise Exception(_a     )
           else:
               if label < node.label:
                   __lowercase							=						self._search(node.left					,		_a     )
               elif label > node.label:
                   __lowercase							=						self._search(node.right					,		_a     )

           return node

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					None:

           """simple docstring"""



           __lowercase							=						self.search(_a     )
           if node.right and node.left:
               __lowercase							=						self._get_lowest_node(node.right     )
               __lowercase							=						node.left
               __lowercase							=						node.right
               __lowercase							=						lowest_node
               if node.right:
                   __lowercase							=						lowest_node
               self._reassign_nodes(_a					,		_a     )
           elif not node.right and node.left:
               self._reassign_nodes(_a					,		node.left     )
           elif node.right and not node.left:
               self._reassign_nodes(_a					,		node.right     )
           else:
               self._reassign_nodes(_a					,		_a     )

       def     snake_case__			(    self					,		lowerCamelCase__					,		lowerCamelCase__     )    ->					None:

           """simple docstring"""



           if new_children:
               __lowercase							=						node.parent

           if node.parent:
               if node.parent.right == node:
                   __lowercase							=						new_children
               else:
                   __lowercase							=						new_children
           else:
               __lowercase							=						new_children

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					Node:

           """simple docstring"""



           if node.left:
               __lowercase							=						self._get_lowest_node(node.left     )
           else:
               __lowercase							=						node
               self._reassign_nodes(_a					,		node.right     )

           return lowest_node

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					bool:

           """simple docstring"""



           try:
               self.search(_a     )
               return True
           except Exception:
               return False

       def     snake_case__			(    self     )    ->					int:

           """simple docstring"""



           if self.root is None:
               raise Exception("""Binary search tree is empty"""     )

           __lowercase							=						self.root
           while node.right is not None:
               __lowercase							=						node.right

           return node.label

       def     snake_case__			(    self     )    ->					int:

           """simple docstring"""



           if self.root is None:
               raise Exception("""Binary search tree is empty"""     )

           __lowercase							=						self.root
           while node.left is not None:
               __lowercase							=						node.left

           return node.label

       def     snake_case__			(    self     )    ->					Iterator[Node]:

           """simple docstring"""



           return self._inorder_traversal(self.root     )

       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					Iterator[Node]:

           """simple docstring"""



           if node is not None:
               yield from self._inorder_traversal(node.left     )
               yield node
               yield from self._inorder_traversal(node.right     )

       def     snake_case__			(    self     )    ->					Iterator[Node]:

           """simple docstring"""



           return self._preorder_traversal(self.root     )




       def     snake_case__			(    self					,		lowerCamelCase__     )    ->					Iterator[Node]:

           """simple docstring"""



           if node is not None:
               yield node
               yield from self._preorder_traversal(node.left     )
               yield from self._preorder_traversal(node.right     )






class        SCREAMING_SNAKE_CASE(				unittest.TestCase     ):

       @staticmethod
       def     snake_case__			(    )    ->					BinarySearchTree:

           """simple docstring"""



           __lowercase							=						BinarySearchTree()
           t.put(8     )
           t.put(3     )
           t.put(6     )
           t.put(1     )
           t.put(10     )
           t.put(14     )
           t.put(13     )
           t.put(4     )
           t.put(7     )
           t.put(5     )

           return t

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						BinarySearchTree()
           assert t.is_empty()

           t.put(8     )
           assert t.root is not None
           assert t.root.parent is None
           assert t.root.label == 8

           t.put(10     )
           assert t.root.right is not None
           assert t.root.right.parent == t.root
           assert t.root.right.label == 10

           t.put(3     )
           assert t.root.left is not None
           assert t.root.left.parent == t.root
           assert t.root.left.label == 3

           t.put(6     )
           assert t.root.left.right is not None
           assert t.root.left.right.parent == t.root.left
           assert t.root.left.right.label == 6

           t.put(1     )
           assert t.root.left.left is not None
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.left.label == 1

           with self.assertRaises(_a     ):  # noqa: B017
               t.put(1     )

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           __lowercase							=						t.search(6     )
           assert node.label == 6

           __lowercase							=						t.search(13     )
           assert node.label == 13

           with self.assertRaises(_a     ):  # noqa: B017
               t.search(2     )

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           t.remove(13     )
           assert t.root is not None
           assert t.root.right is not None
           assert t.root.right.right is not None
           assert t.root.right.right.right is None
           assert t.root.right.right.left is None

           t.remove(7     )
           assert t.root.left is not None
           assert t.root.left.right is not None
           assert t.root.left.right.left is not None
           assert t.root.left.right.right is None
           assert t.root.left.right.left.label == 4

           t.remove(6     )
           assert t.root.left.left is not None
           assert t.root.left.right.right is not None
           assert t.root.left.left.label == 1
           assert t.root.left.right.label == 4
           assert t.root.left.right.right.label == 5
           assert t.root.left.right.left is None
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.parent == t.root.left

           t.remove(3     )
           assert t.root is not None
           assert t.root.left.label == 4
           assert t.root.left.right.label == 5
           assert t.root.left.left.label == 1
           assert t.root.left.parent == t.root
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.parent == t.root.left

           t.remove(4     )
           assert t.root.left is not None
           assert t.root.left.left is not None
           assert t.root.left.label == 5
           assert t.root.left.right is None
           assert t.root.left.left.label == 1
           assert t.root.left.parent == t.root
           assert t.root.left.left.parent == t.root.left

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           t.remove(3     )
           assert t.root is not None
           assert t.root.left is not None
           assert t.root.left.left is not None
           assert t.root.left.right is not None
           assert t.root.left.right.left is not None
           assert t.root.left.right.right is not None
           assert t.root.left.label == 4
           assert t.root.left.right.label == 6
           assert t.root.left.left.label == 1
           assert t.root.left.right.right.label == 7
           assert t.root.left.right.left.label == 5
           assert t.root.left.parent == t.root
           assert t.root.left.right.parent == t.root.left
           assert t.root.left.left.parent == t.root.left
           assert t.root.left.right.left.parent == t.root.left.right

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()
           t.empty()
           assert t.root is None

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()
           assert not t.is_empty()

           t.empty()
           assert t.is_empty()

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           assert t.exists(6     )
           assert not t.exists(-1     )

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           assert t.get_max_label() == 14

           t.empty()
           with self.assertRaises(_a     ):  # noqa: B017
               t.get_max_label()

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           assert t.get_min_label() == 1

           t.empty()
           with self.assertRaises(_a     ):  # noqa: B017
               t.get_min_label()

       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           __lowercase							=						[i.label for i in t.inorder_traversal()]
           assert inorder_traversal_nodes == [1, 3, 4, 5, 6, 7, 8, 10, 13, 14]




       def     snake_case__			(    self     )    ->					None:

           """simple docstring"""



           __lowercase							=						self._get_binary_search_tree()

           __lowercase							=						[i.label for i in t.preorder_traversal()]
           assert preorder_traversal_nodes == [8, 3, 1, 6, 4, 5, 7, 10, 14, 13]

def 				snake_case_  (   ):



    """simple docstring"""




    __lowercase							=						BinarySearchTree()
    t.put(8			)
    t.put(3			)
    t.put(6			)
    t.put(1			)
    t.put(10			)
    t.put(14			)
    t.put(13			)
    t.put(4			)
    t.put(7			)
    t.put(5			)

    print(
        """
            8
           / \\
          3   10
         / \\    \\
        1   6    14
           / \\   /
          4   7 13
           \\
            5
        """			)

    print("""Label 6 exists:"""    ,t.exists(6			)			)
    print("""Label 13 exists:"""    ,t.exists(13			)			)
    print("""Label -1 exists:"""    ,t.exists(-1			)			)
    print("""Label 12 exists:"""    ,t.exists(12			)			)

    # Prints all the elements of the list in inorder traversal
    __lowercase							=						[i.label for i in t.inorder_traversal()]
    print("""Inorder traversal:"""    ,a__			)

    # Prints all the elements of the list in preorder traversal
    __lowercase							=						[i.label for i in t.preorder_traversal()]
    print("""Preorder traversal:"""    ,a__			)

    print("""Max. label:"""    ,t.get_max_label()			)
    print("""Min. label:"""    ,t.get_min_label()			)

    # Delete elements
    print("""\nDeleting elements 13, 10, 8, 3, 6, 14"""			)
    print(
        """
          4
         / \\
        1   7
             \\
              5
        """			)
    t.remove(13			)
    t.remove(10			)
    t.remove(8			)
    t.remove(3			)
    t.remove(6			)
    t.remove(14			)

    # Prints all the elements of the list in inorder traversal after delete
    __lowercase							=						[i.label for i in t.inorder_traversal()]
    print("""Inorder traversal after delete:"""    ,a__			)

    # Prints all the elements of the list in preorder traversal after delete
    __lowercase							=						[i.label for i in t.preorder_traversal()]
    print("""Preorder traversal after delete:"""    ,a__			)

    print("""Max. label:"""    ,t.get_max_label()			)
    print("""Min. label:"""    ,t.get_min_label()			)


if __name__ == "__main__":
  binary_search_tree_example()








import argparse
import json

import torch

from diffusers import ScoreSdeVePipeline, ScoreSdeVeScheduler, UNetaDModel







def   lowerCamelCase(      a__		,a__):
				_SCREAMING_SNAKE_CASE	     =UNetaDModel(**a__)
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.0.W'''].data
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.0.W'''].data
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.1.weight'''].data
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.1.bias'''].data

				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.2.weight'''].data
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.2.bias'''].data

				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.3.weight'''].data
				_SCREAMING_SNAKE_CASE	     =checkpoint['''all_modules.3.bias'''].data

				_SCREAMING_SNAKE_CASE	     =checkpoint[list(checkpoint.keys())[-4]].data
				_SCREAMING_SNAKE_CASE	     =checkpoint[list(checkpoint.keys())[-3]].data
				_SCREAMING_SNAKE_CASE	     =checkpoint[list(checkpoint.keys())[-2]].data
				_SCREAMING_SNAKE_CASE	     =checkpoint[list(checkpoint.keys())[-1]].data

				_SCREAMING_SNAKE_CASE	     =4

				def set_attention_weights(a__		,a__		,a__):
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_0.W"].data.T
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_1.W"].data.T
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_2.W"].data.T

								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_0.b"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_1.b"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_2.b"].data

								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_3.W"].data.T
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.NIN_3.b"].data

								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_0.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_0.bias"].data

				def set_resnet_weights(a__		,a__		,a__):
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_0.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_0.bias"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_0.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_0.bias"].data

								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_1.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_1.bias"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_1.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.GroupNorm_1.bias"].data

								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Dense_0.weight"].data
								_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Dense_0.bias"].data

								if new_layer.in_channels != new_layer.out_channels or new_layer.up or new_layer.down:
												_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_2.weight"].data
												_SCREAMING_SNAKE_CASE	     =old_checkpoint[f"all_modules.{index}.Conv_2.bias"].data

				for i, block in enumerate(new_model_architecture.downsample_blocks):
								_SCREAMING_SNAKE_CASE	     =hasattr(a__		,'''attentions''')
								for j in range(len(block.resnets)):
												set_resnet_weights(block.resnets[j]		,a__		,a__)
												module_index += 1
												if has_attentions:
																set_attention_weights(block.attentions[j]		,a__		,a__)
																module_index += 1

								if hasattr(a__		,'''downsamplers''') and block.downsamplers is not None:
												set_resnet_weights(block.resnet_down		,a__		,a__)
												module_index += 1
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.Conv_0.weight"].data
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.Conv_0.bias"].data
												module_index += 1

				set_resnet_weights(new_model_architecture.mid_block.resnets[0]		,a__		,a__)
				module_index += 1
				set_attention_weights(new_model_architecture.mid_block.attentions[0]		,a__		,a__)
				module_index += 1
				set_resnet_weights(new_model_architecture.mid_block.resnets[1]		,a__		,a__)
				module_index += 1

				for i, block in enumerate(new_model_architecture.up_blocks):
								_SCREAMING_SNAKE_CASE	     =hasattr(a__		,'''attentions''')
								for j in range(len(block.resnets)):
												set_resnet_weights(block.resnets[j]		,a__		,a__)
												module_index += 1
								if has_attentions:
												set_attention_weights(
												    block.attentions[0]		,a__		,a__)  # why can there only be a single attention layer for up?
												module_index += 1

								if hasattr(a__		,'''resnet_up''') and block.resnet_up is not None:
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.weight"].data
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.bias"].data
												module_index += 1
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.weight"].data
												_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.bias"].data
												module_index += 1
												set_resnet_weights(block.resnet_up		,a__		,a__)
												module_index += 1

				_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.weight"].data
				_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.bias"].data
				module_index += 1
				_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.weight"].data
				_SCREAMING_SNAKE_CASE	     =checkpoint[f"all_modules.{module_index}.bias"].data

				return new_model_architecture.state_dict()


if __name__ == "__main__":
							snake_case_  :	Tuple							  =							argparse.ArgumentParser()

							parser.add_argument(
							    '''--checkpoint_path''',
							    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/diffusion_pytorch_model.bin''',
							    type=str,
							    required=False,
							    help='''Path to the checkpoint to convert.''',
							)

							parser.add_argument(
							    '''--config_file''',
							    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/config.json''',
							    type=str,
							    required=False,
							    help='''The config json file corresponding to the architecture.''',
							)

							parser.add_argument(
							    '''--dump_path''',
							    default='''/Users/arthurzucker/Work/diffusers/ArthurZ/diffusion_model_new.pt''',
							    type=str,
							    required=False,
							    help='''Path to the output model.''',
							)

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

							snake_case_  :	List[Any]							  =							torch.load(args.checkpoint_path, map_location='''cpu''')

							with open(args.config_file) as f:
														snake_case_  :	List[str]							  =							json.loads(f.read())

							snake_case_  :	Optional[int]							  =							convert_ncsnpp_checkpoint(
							    checkpoint,
							    config,
							)

							if "sde" in config:
														del config["sde"]

							snake_case_  :	Union[str, Any]							  =							UNetaDModel(**config)
							model.load_state_dict(converted_checkpoint)

							try:
														snake_case_  :	List[Any]							  =							ScoreSdeVeScheduler.from_config('''/'''.join(args.checkpoint_path.split('''/''')[:-1]))

														snake_case_  :	int							  =							ScoreSdeVePipeline(unet=model, scheduler=scheduler)
														pipe.save_pretrained(args.dump_path)
							except:  # noqa: E722
														model.save_pretrained(args.dump_path)