
from __future__ import annotations

import math
import random
from typing import Any




class 					_SCREAMING_SNAKE_CASE  :
      def __init__(			self ):
          snake_case__						=				[]
          snake_case__						=				0
          snake_case__						=				0
      def A_			(			self ):
          return self.head == self.tail
      def A_			(			self		,	lowerCamelCase ):
          self.data.append(lowerCamelCase )
          snake_case__						=				self.tail + 1
      def A_			(			self ):
          snake_case__						=				self.data[self.head]
          snake_case__						=				self.head + 1
          return ret
      def A_			(			self ):
          return self.tail - self.head



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





class 					_SCREAMING_SNAKE_CASE  :
      def __init__(			self		,	lowerCamelCase ):
          snake_case__						=				data
          snake_case__						=				None
          snake_case__						=				None
          snake_case__						=				1
      def A_			(			self ):
          return self.data
      def A_			(			self ):
          return self.left
      def A_			(			self ):
          return self.right
      def A_			(			self ):
          return self.height
      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				data
      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				node
      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				node



      def A_			(			self		,	lowerCamelCase ):
          snake_case__						=				height





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    if node is None:
        return 0
    return node.get_height()





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    if a > b:
        return a
    return b





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    print("left rotation node:"    ,		node.get_data()							)
    snake_case__						=				node.get_left()
    assert ret is not None
    node.set_left(ret.get_right()							)
    ret.set_right(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(node.get_right()							)    ,		get_height(node.get_left()							)							) + 1
    node.set_height(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(ret.get_right()							)    ,		get_height(ret.get_left()							)							) + 1
    ret.set_height(__lowerCAmelCase							)
    return ret





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    print("right rotation node:"    ,		node.get_data()							)
    snake_case__						=				node.get_right()
    assert ret is not None
    node.set_right(ret.get_left()							)
    ret.set_left(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(node.get_right()							)    ,		get_height(node.get_left()							)							) + 1
    node.set_height(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(ret.get_right()							)    ,		get_height(ret.get_left()							)							) + 1
    ret.set_height(__lowerCAmelCase							)
    return ret





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				node.get_left()
    assert left_child is not None
    node.set_left(left_rotation(__lowerCAmelCase							)							)
    return right_rotation(__lowerCAmelCase							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				node.get_right()
    assert right_child is not None
    node.set_right(right_rotation(__lowerCAmelCase							)							)
    return left_rotation(__lowerCAmelCase							)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    if node is None:
        return MyNode(__lowerCAmelCase							)
    if data < node.get_data():
        node.set_left(insert_node(node.get_left()    ,		__lowerCAmelCase							)							)
        if (
            get_height(node.get_left()							) - get_height(node.get_right()							) == 2
        ):  # an unbalance detected
            snake_case__						=				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
                snake_case__						=				right_rotation(__lowerCAmelCase							)
            else:
                snake_case__						=				lr_rotation(__lowerCAmelCase							)
    else:
        node.set_right(insert_node(node.get_right()    ,		__lowerCAmelCase							)							)
        if get_height(node.get_right()							) - get_height(node.get_left()							) == 2:
            snake_case__						=				node.get_right()
            assert right_child is not None
            if data < right_child.get_data():
                snake_case__						=				rl_rotation(__lowerCAmelCase							)
            else:
                snake_case__						=				left_rotation(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(node.get_right()							)    ,		get_height(node.get_left()							)							) + 1
    node.set_height(__lowerCAmelCase							)
    return node





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    while True:
        snake_case__						=				root.get_right()
        if right_child is None:
            break
        snake_case__						=				right_child
    return root.get_data()





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    while True:
        snake_case__						=				root.get_left()
        if left_child is None:
            break
        snake_case__						=				left_child
    return root.get_data()





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    snake_case__						=				root.get_left()
    snake_case__						=				root.get_right()
    if root.get_data() == data:
        if left_child is not None and right_child is not None:
            snake_case__						=				get_left_most(__lowerCAmelCase							)
            root.set_data(__lowerCAmelCase							)
            root.set_right(del_node(__lowerCAmelCase    ,		__lowerCAmelCase							)							)
        elif left_child is not None:
            snake_case__						=				left_child
        elif right_child is not None:
            snake_case__						=				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(__lowerCAmelCase    ,		__lowerCAmelCase							)							)
    else:  # root.get_data() < data
        if right_child is None:
            return root
        else:
            root.set_right(del_node(__lowerCAmelCase    ,		__lowerCAmelCase							)							)

    if get_height(__lowerCAmelCase							) - get_height(__lowerCAmelCase							) == 2:
        assert right_child is not None
        if get_height(right_child.get_right()							) > get_height(right_child.get_left()							):
            snake_case__						=				left_rotation(__lowerCAmelCase							)
        else:
            snake_case__						=				rl_rotation(__lowerCAmelCase							)
    elif get_height(__lowerCAmelCase							) - get_height(__lowerCAmelCase							) == -2:
        assert left_child is not None
        if get_height(left_child.get_left()							) > get_height(left_child.get_right()							):
            snake_case__						=				right_rotation(__lowerCAmelCase							)
        else:
            snake_case__						=				lr_rotation(__lowerCAmelCase							)
    snake_case__						=				my_max(get_height(root.get_right()							)    ,		get_height(root.get_left()							)							) + 1
    root.set_height(__lowerCAmelCase							)
    return root




class 					_SCREAMING_SNAKE_CASE  :
      def __init__(			self ):
          snake_case__						=				None
      def A_			(			self ):
          return get_height(self.root )
      def A_			(			self		,	lowerCamelCase ):
          print("insert:" + str(lowerCamelCase ) )
          snake_case__						=				insert_node(self.root		,	lowerCamelCase )
      def A_			(			self		,	lowerCamelCase ):
          print("delete:" + str(lowerCamelCase ) )
          if self.root is None:
              print("Tree is empty!" )
              return
          snake_case__						=				del_node(self.root		,	lowerCamelCase )



      def __str__(			self		,	):  # a level traversale, gives a more intuitive look on the tree
          snake_case__						=				""
          snake_case__						=				MyQueue()
          q.push(self.root )
          snake_case__						=				self.get_height()
          if layer == 0:
              return output
          snake_case__						=				0
          while not q.is_empty():
              snake_case__						=				q.pop()
              snake_case__						=				" " * int(math.pow(2		,	layer - 1 ) )
              output += space
              if node is None:
                  output += "*"
                  q.push(lowerCamelCase )
                  q.push(lowerCamelCase )
              else:
                  output += str(node.get_data() )
                  q.push(node.get_left() )
                  q.push(node.get_right() )
              output += space
              snake_case__						=				cnt + 1
              for i in range(1_00 ):
                  if cnt == math.pow(2		,	lowerCamelCase ) - 1:
                      snake_case__						=				layer - 1
                      if layer == 0:
                          output += "\n*************************************"
                          return output
                      output += "\n"
                      break
          output += "\n*************************************"
          return output





def 	SCREAMING_SNAKE_CASE__    (      ):
    import doctest

    doctest.testmod()


if __name__ == "__main__":
     _test()
     __magic_name__            =  AVLtree()
     __magic_name__            =  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))





import argparse
import json

import requests
import timm
import torch
from huggingface_hub import hf_hub_download
from PIL import Image

from transformers import AutoImageProcessor, SwinConfig, SwinForImageClassification





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				SwinConfig()
    snake_case__						=				swin_name.split("_"							)

    snake_case__						=				name_split[1]
    snake_case__						=				int(name_split[4]							)
    snake_case__						=				int(name_split[3][-1]							)

    if model_size == "tiny":
        snake_case__						=				96
        snake_case__						=				(2, 2, 6, 2)
        snake_case__						=				(3, 6, 12, 24)
    elif model_size == "small":
        snake_case__						=				96
        snake_case__						=				(2, 2, 18, 2)
        snake_case__						=				(3, 6, 12, 24)
    elif model_size == "base":
        snake_case__						=				128
        snake_case__						=				(2, 2, 18, 2)
        snake_case__						=				(4, 8, 16, 32)
    else:
        snake_case__						=				192
        snake_case__						=				(2, 2, 18, 2)
        snake_case__						=				(6, 12, 24, 48)

    if "in22k" in swin_name:
        snake_case__						=				21_841
    else:
        snake_case__						=				1_000
        snake_case__						=				"huggingface/label-files"
        snake_case__						=				"imagenet-1k-id2label.json"
        snake_case__						=				json.load(open(hf_hub_download(__lowerCAmelCase    ,		__lowerCAmelCase    ,		repo_type="dataset"							)    ,		"r"							)							)
        snake_case__						=				{int(__lowerCAmelCase							): v for k, v in idalabel.items()}
        snake_case__						=				idalabel
        snake_case__						=				{v: k for k, v in idalabel.items()}

    snake_case__						=				img_size
    snake_case__						=				num_classes
    snake_case__						=				embed_dim
    snake_case__						=				depths
    snake_case__						=				num_heads
    snake_case__						=				window_size

    return config





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    if "patch_embed.proj" in name:
        snake_case__						=				name.replace("patch_embed.proj"    ,		"embeddings.patch_embeddings.projection"							)
    if "patch_embed.norm" in name:
        snake_case__						=				name.replace("patch_embed.norm"    ,		"embeddings.norm"							)
    if "layers" in name:
        snake_case__						=				"encoder." + name
    if "attn.proj" in name:
        snake_case__						=				name.replace("attn.proj"    ,		"attention.output.dense"							)
    if "attn" in name:
        snake_case__						=				name.replace("attn"    ,		"attention.self"							)
    if "norm1" in name:
        snake_case__						=				name.replace("norm1"    ,		"layernorm_before"							)
    if "norm2" in name:
        snake_case__						=				name.replace("norm2"    ,		"layernorm_after"							)
    if "mlp.fc1" in name:
        snake_case__						=				name.replace("mlp.fc1"    ,		"intermediate.dense"							)
    if "mlp.fc2" in name:
        snake_case__						=				name.replace("mlp.fc2"    ,		"output.dense"							)

    if name == "norm.weight":
        snake_case__						=				"layernorm.weight"
    if name == "norm.bias":
        snake_case__						=				"layernorm.bias"

    if "head" in name:
        snake_case__						=				name.replace("head"    ,		"classifier"							)
    else:
        snake_case__						=				"swin." + name

    return name





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    for key in orig_state_dict.copy().keys():
        snake_case__						=				orig_state_dict.pop(__lowerCAmelCase							)

        if "mask" in key:
            continue
        elif "qkv" in key:
            snake_case__						=				key.split("."							)
            snake_case__						=				int(key_split[1]							)
            snake_case__						=				int(key_split[3]							)
            snake_case__						=				model.swin.encoder.layers[layer_num].blocks[block_num].attention.self.all_head_size

            if "weight" in key:
                snake_case__						=				val[:dim, :]
                snake_case__						=				val[
                    dim : dim * 2, :
                ]
                snake_case__						=				val[-dim:, :]
            else:
                snake_case__						=				val[
                    :dim
                ]
                snake_case__						=				val[
                    dim : dim * 2
                ]
                snake_case__						=				val[
                    -dim:
                ]
        else:
            snake_case__						=				val

    return orig_state_dict





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    snake_case__						=				timm.create_model(__lowerCAmelCase    ,		pretrained=__lowerCAmelCase							)
    timm_model.eval()

    snake_case__						=				get_swin_config(__lowerCAmelCase							)
    snake_case__						=				SwinForImageClassification(__lowerCAmelCase							)
    model.eval()

    snake_case__						=				convert_state_dict(timm_model.state_dict()    ,		__lowerCAmelCase							)
    model.load_state_dict(__lowerCAmelCase							)

    snake_case__						=				"http://images.cocodataset.org/val2017/000000039769.jpg"

    snake_case__						=				AutoImageProcessor.from_pretrained("microsoft/{}".format(swin_name.replace("_"    ,		"-"							)							)							)
    snake_case__						=				Image.open(requests.get(__lowerCAmelCase    ,		stream=__lowerCAmelCase							).raw							)
    snake_case__						=				image_processor(images=__lowerCAmelCase    ,		return_tensors="pt"							)

    snake_case__						=				timm_model(inputs["pixel_values"]							)
    snake_case__						=				model(**__lowerCAmelCase							).logits

    assert torch.allclose(__lowerCAmelCase    ,		__lowerCAmelCase    ,		atol=1E-3							)

    print(F"""Saving model {swin_name} to {pytorch_dump_folder_path}"""							)
    model.save_pretrained(__lowerCAmelCase							)

    print(F"""Saving image processor to {pytorch_dump_folder_path}"""							)
    image_processor.save_pretrained(__lowerCAmelCase							)


if __name__ == "__main__":
     __magic_name__            =  argparse.ArgumentParser()
     # Required parameters
     parser.add_argument(
         '''--swin_name''',
         default='''swin_tiny_patch4_window7_224''',
         type=str,
         help='''Name of the Swin timm model you\'d like to convert.''',
     )
     parser.add_argument(
         '''--pytorch_dump_folder_path''', default=None, type=str, help='''Path to the output PyTorch model directory.'''
     )

     __magic_name__            =  parser.parse_args()
     convert_swin_checkpoint(args.swin_name, args.pytorch_dump_folder_path)



