

"""simple docstring"""




import argparse
import json
from collections import OrderedDict
from pathlib import Path

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

from transformers import PoolFormerConfig, PoolFormerForImageClassification, PoolFormerImageProcessor
from transformers.utils import logging


logging.set_verbosity_info()
_lowercase   :	List[Any]												=						logging.get_logger(__name__)





def       lowercase__						(       snake_case_   :Union[str, Any]			,		snake_case_   :List[Any]			,		snake_case_   :Union[str, Any]			,		snake_case_   :int    ):
	__UpperCAmelCase      		= original_name.split('''.'''    )[0]
	__UpperCAmelCase      		= key.split('''.'''    )
	__UpperCAmelCase      		= int(key_list[key_list.index(_snake_case    ) - 2]    )
	__UpperCAmelCase      		= int(key_list[key_list.index(_snake_case    ) - 1]    )
	__UpperCAmelCase      		= orig_block_num - offset

	__UpperCAmelCase      		= key.replace(F'''{orig_block_num}.{layer_num}.{original_name}'''			,		F'''block.{new_block_num}.{layer_num}.{new_name}'''    )
	return key





def       lowercase__						(       snake_case_   :Optional[Any]    ):
	__UpperCAmelCase      		= OrderedDict()
	__UpperCAmelCase      		= 0, 0
	for key, value in state_dict.items():
		if key.startswith('''network'''    ):
			__UpperCAmelCase      		= key.replace('''network'''			,		'''poolformer.encoder'''    )
		if "proj" in key:
			# Works for the first embedding as well as the internal embedding layers
			if key.endswith('''bias'''    ) and "patch_embed" not in key:
				patch_emb_offset += 1
			__UpperCAmelCase      		= key[: key.find('''proj'''    )]
			__UpperCAmelCase      		= key.replace(_snake_case			,		F'''patch_embeddings.{total_embed_found}.'''    )
			__UpperCAmelCase      		= key.replace('''proj'''			,		'''projection'''    )
			if key.endswith('''bias'''    ):
				total_embed_found += 1
		if "patch_embeddings" in key:
			__UpperCAmelCase      		= 'poolformer.encoder.' + key
		if "mlp.fc1" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''mlp.fc1'''			,		'''output.conv1'''    )
		if "mlp.fc2" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''mlp.fc2'''			,		'''output.conv2'''    )
		if "norm1" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''norm1'''			,		'''before_norm'''    )
		if "norm2" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''norm2'''			,		'''after_norm'''    )
		if "layer_scale_1" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''layer_scale_1'''			,		'''layer_scale_1'''    )
		if "layer_scale_2" in key:
			__UpperCAmelCase      		= replace_key_with_offset(_snake_case			,		_snake_case			,		'''layer_scale_2'''			,		'''layer_scale_2'''    )
		if "head" in key:
			__UpperCAmelCase      		= key.replace('''head'''			,		'''classifier'''    )
		__UpperCAmelCase      		= value
	return new_state_dict





def       lowercase__						(       ):
	__UpperCAmelCase      		= 'http://images.cocodataset.org/val2017/000000039769.jpg'
	__UpperCAmelCase      		= Image.open(requests.get(_snake_case			,		stream=_snake_case    ).raw    )

	return image





@torch.no_grad()
def       lowercase__						(       snake_case_   :Optional[int]			,		snake_case_   :int			,		snake_case_   :List[str]    ):
	__UpperCAmelCase      		= PoolFormerConfig()

	# set attributes based on model_name
	__UpperCAmelCase      		= 'huggingface/label-files'
	__UpperCAmelCase      		= model_name[-3:]
	__UpperCAmelCase      		= 1_000
	__UpperCAmelCase      		= 'imagenet-1k-id2label.json'
	__UpperCAmelCase      		= (1, 1_000)

	# set config attributes
	__UpperCAmelCase      		= json.load(open(hf_hub_download(_snake_case			,		_snake_case			,		repo_type='''dataset'''    )			,		'''r'''    )    )
	__UpperCAmelCase      		= {int(_snake_case    ): v for k, v in idalabel.items()}
	__UpperCAmelCase      		= idalabel
	__UpperCAmelCase      		= {v: k for k, v in idalabel.items()}
	if size == "s12":
		__UpperCAmelCase      		= [2, 2, 6, 2]
		__UpperCAmelCase      		= [64, 128, 320, 512]
		__UpperCAmelCase      		= 4.0
		__UpperCAmelCase      		= 0.9
	elif size == "s24":
		__UpperCAmelCase      		= [4, 4, 12, 4]
		__UpperCAmelCase      		= [64, 128, 320, 512]
		__UpperCAmelCase      		= 4.0
		__UpperCAmelCase      		= 0.9
	elif size == "s36":
		__UpperCAmelCase      		= [6, 6, 18, 6]
		__UpperCAmelCase      		= [64, 128, 320, 512]
		__UpperCAmelCase      		= 4.0
		__UpperCAmelCase      		= 1E-6
		__UpperCAmelCase      		= 0.9
	elif size == "m36":
		__UpperCAmelCase      		= [6, 6, 18, 6]
		__UpperCAmelCase      		= [96, 192, 384, 768]
		__UpperCAmelCase      		= 4.0
		__UpperCAmelCase      		= 1E-6
		__UpperCAmelCase      		= 0.95
	elif size == "m48":
		__UpperCAmelCase      		= [8, 8, 24, 8]
		__UpperCAmelCase      		= [96, 192, 384, 768]
		__UpperCAmelCase      		= 4.0
		__UpperCAmelCase      		= 1E-6
		__UpperCAmelCase      		= 0.95
	else:
		raise ValueError(F'''Size {size} not supported'''    )

	# load image processor
	__UpperCAmelCase      		= PoolFormerImageProcessor(crop_pct=_snake_case    )

	# Prepare image
	__UpperCAmelCase      		= prepare_img()
	__UpperCAmelCase      		= image_processor(images=_snake_case			,		return_tensors='''pt'''    ).pixel_values

	logger.info(F'''Converting model {model_name}...'''    )

	# load original state dict
	__UpperCAmelCase      		= torch.load(_snake_case			,		map_location=torch.device('''cpu'''    )    )

	# rename keys
	__UpperCAmelCase      		= rename_keys(_snake_case    )

	# create HuggingFace model and load state dict
	__UpperCAmelCase      		= PoolFormerForImageClassification(_snake_case    )
	model.load_state_dict(_snake_case    )
	model.eval()

	# Define image processor
	__UpperCAmelCase      		= PoolFormerImageProcessor(crop_pct=_snake_case    )
	__UpperCAmelCase      		= image_processor(images=prepare_img()			,		return_tensors='''pt'''    ).pixel_values

	# forward pass
	__UpperCAmelCase      		= model(_snake_case    )
	__UpperCAmelCase      		= outputs.logits

	# define expected logit slices for different models
	if size == "s12":
		__UpperCAmelCase      		= torch.tensor([-0.3045, -0.6758, -0.4869]    )
	elif size == "s24":
		__UpperCAmelCase      		= torch.tensor([0.4402, -0.1374, -0.8045]    )
	elif size == "s36":
		__UpperCAmelCase      		= torch.tensor([-0.6080, -0.5133, -0.5898]    )
	elif size == "m36":
		__UpperCAmelCase      		= torch.tensor([0.3952, 0.2263, -1.2668]    )
	elif size == "m48":
		__UpperCAmelCase      		= torch.tensor([0.1167, -0.0656, -0.3423]    )
	else:
		raise ValueError(F'''Size {size} not supported'''    )

	# verify logits
	assert logits.shape == expected_shape
	assert torch.allclose(logits[0, :3]			,		_snake_case			,		atol=1E-2    )

	# finally, save model and image processor
	logger.info(F'''Saving PyTorch model and image processor to {pytorch_dump_folder_path}...'''    )
	Path(_snake_case    ).mkdir(exist_ok=_snake_case    )
	model.save_pretrained(_snake_case    )
	print(F'''Saving image processor to {pytorch_dump_folder_path}'''    )
	image_processor.save_pretrained(_snake_case    )


if __name__ == "__main__":
				_lowercase   :	Optional[int]												=						argparse.ArgumentParser()

				parser.add_argument(
				    '--model_name',
				    default='poolformer_s12',
				    type=str,
				    help='Name of the model you\'d like to convert.',
				)
				parser.add_argument(
				    '--checkpoint_path', default=None, type=str, help='Path to the original PyTorch checkpoint (.pth file).'
				)
				parser.add_argument(
				    '--pytorch_dump_folder_path', default=None, type=str, help='Path to the folder to output PyTorch model.'
				)
				_lowercase   :	Optional[int]												=						parser.parse_args()
				convert_poolformer_checkpoint(args.model_name, args.checkpoint_path, args.pytorch_dump_folder_path)


"""simple docstring"""



from typing import Any





class 				a			:



      def __init__(   self     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      Optional[Any]     							=					data
          UpperCAmelCase__	:      List[str]     							=					None



      def __repr__(   self      ):
          return F'''Node({self.data})'''





class 				a			:



      def __init__(   self      ):
          UpperCAmelCase__	:      Any     							=					None



      def __iter__(   self      ):
          UpperCAmelCase__	:      List[str]     							=					self.head
          while node:
              yield node.data
              UpperCAmelCase__	:      Optional[int]     							=					node.next



      def __len__(   self      ):
          return sum(1 for _ in self      )



      def __repr__(   self      ):
          return "->".join([str(UpperCamelCase_      ) for item in self]      )



      def __getitem__(   self     ,	UpperCamelCase_      ):
          if not 0 <= index < len(self      ):
              raise ValueError('list index out of range.'      )
          for i, node in enumerate(self      ):
              if i == index:
                  return node
          return None



      def __setitem__(   self     ,	UpperCamelCase_     ,	UpperCamelCase_      ):
          if not 0 <= index < len(self      ):
              raise ValueError('list index out of range.'      )
          UpperCAmelCase__	:      List[str]     							=					self.head
          for _ in range(UpperCamelCase_      ):
              UpperCAmelCase__	:      Optional[Any]     							=					current.next
          UpperCAmelCase__	:      List[str]     							=					data



      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          self.insert_nth(len(self      )     ,	UpperCamelCase_      )



      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          self.insert_nth(0     ,	UpperCamelCase_      )



      def  __snake_case							(   self     ,	UpperCamelCase_     ,	UpperCamelCase_      ):
          if not 0 <= index <= len(self      ):
              raise IndexError('list index out of range'      )
          UpperCAmelCase__	:      str     							=					Node(UpperCamelCase_      )
          if self.head is None:
              UpperCAmelCase__	:      Tuple     							=					new_node
          elif index == 0:
              UpperCAmelCase__	:      Optional[int]     							=					self.head  # link new_node to head
              UpperCAmelCase__	:      Any     							=					new_node
          else:
              UpperCAmelCase__	:      Dict     							=					self.head
              for _ in range(index - 1      ):
                  UpperCAmelCase__	:      Tuple     							=					temp.next
              UpperCAmelCase__	:      int     							=					temp.next
              UpperCAmelCase__	:      Tuple     							=					new_node



      def  __snake_case							(   self      ):  # print every node data
          print(self      )



      def  __snake_case							(   self      ):
          return self.delete_nth(0      )



      def  __snake_case							(   self      ):  # delete from tail
          return self.delete_nth(len(self      ) - 1      )



      def  __snake_case							(   self     ,	UpperCamelCase_ = 0      ):
          if not 0 <= index <= len(self      ) - 1:  # test if index is valid
              raise IndexError('List index out of range.'      )
          UpperCAmelCase__	:      Union[str, Any]     							=					self.head  # default first node
          if index == 0:
              UpperCAmelCase__	:      Dict     							=					self.head.next
          else:
              UpperCAmelCase__	:      List[Any]     							=					self.head
              for _ in range(index - 1      ):
                  UpperCAmelCase__	:      Any     							=					temp.next
              UpperCAmelCase__	:      Dict     							=					temp.next
              UpperCAmelCase__	:      Tuple     							=					temp.next.next
          return delete_node.data



      def  __snake_case							(   self      ):
          return self.head is None



      def  __snake_case							(   self      ):
          UpperCAmelCase__	:      Optional[Any]     							=					None
          UpperCAmelCase__	:      str     							=					self.head

          while current:
              # Store the current node's next node.
              UpperCAmelCase__	:      Any     							=					current.next
              # Make the current node's next point backwards
              UpperCAmelCase__	:      Optional[int]     							=					prev
              # Make the previous node be the current node
              UpperCAmelCase__	:      List[Any]     							=					current
              # Make the current node the next node (to progress iteration)
              UpperCAmelCase__	:      int     							=					next_node
          # Return prev in order to put the head at the end
          UpperCAmelCase__	:      str     							=					prev




def 					lowerCamelCase   (     ):
    UpperCAmelCase__	:      Dict     							=					LinkedList()
    assert linked_list.is_empty() is True
    assert str(_snake_case ) == ""

    try:
        linked_list.delete_head()
        raise AssertionError  # This should not happen.
    except IndexError:
        assert True  # This should happen.

    try:
        linked_list.delete_tail()
        raise AssertionError  # This should not happen.
    except IndexError:
        assert True  # This should happen.

    for i in range(10 ):
        assert len(_snake_case ) == i
        linked_list.insert_nth(_snake_case    ,i + 1 )
    assert str(_snake_case ) == "->".join(str(_snake_case ) for i in range(1    ,11 ) )

    linked_list.insert_head(0 )
    linked_list.insert_tail(11 )
    assert str(_snake_case ) == "->".join(str(_snake_case ) for i in range(0    ,12 ) )

    assert linked_list.delete_head() == 0
    assert linked_list.delete_nth(9 ) == 10
    assert linked_list.delete_tail() == 11
    assert len(_snake_case ) == 9
    assert str(_snake_case ) == "->".join(str(_snake_case ) for i in range(1    ,10 ) )

    assert all(linked_list[i] == i + 1 for i in range(0    ,9 ) ) is True

    for i in range(0    ,9 ):
        UpperCAmelCase__	:      Any     							=					-i
    assert all(linked_list[i] == -i for i in range(0    ,9 ) ) is True

    linked_list.reverse()
    assert str(_snake_case ) == "->".join(str(_snake_case ) for i in range(-8    ,1 ) )
def 					lowerCamelCase   (     ):
    UpperCAmelCase__	:      int     							=					[
        -9,
        100,
        Node(77345112 ),
        'dlrow olleH',
        7,
        5555,
        0,
        -192.55555,
        'Hello, world!',
        77.9,
        Node(10 ),
        None,
        None,
        12.20,
    ]
    UpperCAmelCase__	:      Dict     							=					LinkedList()

    for i in test_input:
        linked_list.insert_tail(_snake_case )

    # Check if it's empty or not
    assert linked_list.is_empty() is False
    assert (
        str(_snake_case ) == "-9->100->Node(77345112)->dlrow olleH->7->5555->0->"
        "-192.55555->Hello, world!->77.9->Node(10)->None->None->12.2"
    )

    # Delete the head
    UpperCAmelCase__	:      Any     							=					linked_list.delete_head()
    assert result == -9
    assert (
        str(_snake_case ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None->None->12.2"
    )

    # Delete the tail
    UpperCAmelCase__	:      Union[str, Any]     							=					linked_list.delete_tail()
    assert result == 12.2
    assert (
        str(_snake_case ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None->None"
    )

    # Delete a node in specific location in linked list
    UpperCAmelCase__	:      Dict     							=					linked_list.delete_nth(10 )
    assert result is None
    assert (
        str(_snake_case ) == "100->Node(77345112)->dlrow olleH->7->5555->0->-192.55555->"
        "Hello, world!->77.9->Node(10)->None"
    )

    # Add a Node instance to its head
    linked_list.insert_head(Node('Hello again, world!' ) )
    assert (
        str(_snake_case )
        == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
        "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None"
    )

    # Add None to its tail
    linked_list.insert_tail(_snake_case )
    assert (
        str(_snake_case )
        == "Node(Hello again, world!)->100->Node(77345112)->dlrow olleH->"
        "7->5555->0->-192.55555->Hello, world!->77.9->Node(10)->None->None"
    )

    # Reverse the linked list
    linked_list.reverse()
    assert (
        str(_snake_case )
        == "None->None->Node(10)->77.9->Hello, world!->-192.55555->0->5555->"
        "7->dlrow olleH->Node(77345112)->100->Node(Hello again, world!)"
    )
def 					lowerCamelCase   (     ):
    from doctest import testmod

    testmod()

    UpperCAmelCase__	:      Optional[Any]     							=					LinkedList()
    linked_list.insert_head(input('Inserting 1st at head ' ).strip() )
    linked_list.insert_head(input('Inserting 2nd at head ' ).strip() )
    print('\nPrint list:' )
    linked_list.print_list()
    linked_list.insert_tail(input('\nInserting 1st at tail ' ).strip() )
    linked_list.insert_tail(input('Inserting 2nd at tail ' ).strip() )
    print('\nPrint list:' )
    linked_list.print_list()
    print('\nDelete head' )
    linked_list.delete_head()
    print('Delete tail' )
    linked_list.delete_tail()
    print('\nPrint list:' )
    linked_list.print_list()
    print('\nReverse linked list' )
    linked_list.reverse()
    print('\nPrint list:' )
    linked_list.print_list()
    print('\nString representation of linked list:' )
    print(_snake_case )
    print('\nReading/changing Node data using indexing:' )
    print(F'''Element at Position 1: {linked_list[1]}''' )
    UpperCAmelCase__	:      List[Any]     							=					input('Enter New Value: ' ).strip()
    print('New list:' )
    print(_snake_case )
    print(F'''length of linked_list is : {len(_snake_case )}''' )


if __name__ == "__main__":
    main()

