



'''simple docstring'''





import argparse
import json
import re
from pathlib import Path

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

from transformers import (
    MobileNetVaConfig,
    MobileNetVaForImageClassification,
    MobileNetVaImageProcessor,
    load_tf_weights_in_mobilenet_va,
)
from transformers.utils import logging


logging.set_verbosity_info()
_lowerCAmelCase										=     logging.get_logger(__name__)
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase      ):



    """simple docstring"""





    lowerCAmelCase__			:  int											= MobileNetVaConfig(layer_norm_eps=0.001      )

    if "_quant" in model_name:
        raise ValueError("""Quantized models are not supported."""      )

    lowerCAmelCase__			:  List[str]											= re.match(R"""^mobilenet_v1_([^_]*)_([^_]*)$"""							,   UpperCamelCase      )
    if matches:
        lowerCAmelCase__			:  str											= float(matches[1]      )
        lowerCAmelCase__			:  Union[str, Any]											= int(matches[2]      )

    # The TensorFlow version of MobileNetV1 predicts 1001 classes instead of
    # the usual 1000. The first class (index 0) is "background".
    lowerCAmelCase__			:  List[Any]											= 1001
    lowerCAmelCase__			:  List[str]											= """imagenet-1k-id2label.json"""
    lowerCAmelCase__			:  Any											= """huggingface/label-files"""
    lowerCAmelCase__			:  Union[str, Any]											= json.load(open(hf_hub_download(UpperCamelCase							,   UpperCamelCase							,   repo_type="""dataset"""      )							,   """r"""      )      )
    lowerCAmelCase__			:  Optional[Any]											= {int(UpperCamelCase      ) + 1: v for k, v in idalabel.items()}
    lowerCAmelCase__			:  List[str]											= """background"""
    lowerCAmelCase__			:  List[Any]											= idalabel
    lowerCAmelCase__			:  Optional[Any]											= {v: k for k, v in idalabel.items()}

    return config
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Union[str, Any]											= """http://images.cocodataset.org/val2017/000000039769.jpg"""
    lowerCAmelCase__			:  Dict											= Image.open(requests.get(UpperCamelCase							,   stream=UpperCamelCase      ).raw      )
    return im
@torch.no_grad()
def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase=False      ):



    """simple docstring"""





    lowerCAmelCase__			:  Any											= get_mobilenet_va_config(UpperCamelCase      )

    # Load 🤗 model
    lowerCAmelCase__			:  List[Any]											= MobileNetVaForImageClassification(UpperCamelCase      ).eval()

    # Load weights from TensorFlow checkpoint
    load_tf_weights_in_mobilenet_va(UpperCamelCase							,   UpperCamelCase							,   UpperCamelCase      )

    # Check outputs on an image, prepared by MobileNetV1ImageProcessor
    lowerCAmelCase__			:  str											= MobileNetVaImageProcessor(
        crop_size={"""width""": config.image_size, """height""": config.image_size}							,   size={"""shortest_edge""": config.image_size + 32}							,   )
    lowerCAmelCase__			:  Optional[int]											= image_processor(images=prepare_img()							,   return_tensors="""pt"""      )
    lowerCAmelCase__			:  Optional[Any]											= model(**UpperCamelCase      )
    lowerCAmelCase__			:  str											= outputs.logits

    assert logits.shape == (1, 1001)

    if model_name == "mobilenet_v1_1.0_224":
        lowerCAmelCase__			:  Optional[Any]											= torch.tensor([-4.1739, -1.1233, 3.1205]      )
    elif model_name == "mobilenet_v1_0.75_192":
        lowerCAmelCase__			:  str											= torch.tensor([-3.9440, -2.3141, -0.3333]      )
    else:
        lowerCAmelCase__			:  List[str]											= None

    if expected_logits is not None:
        assert torch.allclose(logits[0, :3]							,   UpperCamelCase							,   atol=1e-4      )

    Path(UpperCamelCase      ).mkdir(exist_ok=UpperCamelCase      )
    print(f"""Saving model {model_name} to {pytorch_dump_folder_path}"""      )
    model.save_pretrained(UpperCamelCase      )
    print(f"""Saving image processor to {pytorch_dump_folder_path}"""      )
    image_processor.save_pretrained(UpperCamelCase      )

    if push_to_hub:
        print("""Pushing to the hub..."""      )
        lowerCAmelCase__			:  Tuple											= """google/""" + model_name
        image_processor.push_to_hub(UpperCamelCase      )
        model.push_to_hub(UpperCamelCase      )


if __name__ == "__main__":
   _lowerCAmelCase										=     argparse.ArgumentParser()
   # Required parameters
   parser.add_argument(
       '''--model_name''',
       default='''mobilenet_v1_1.0_224''',
       type=str,
       help='''Name of the MobileNetV1 model you\'d like to convert. Should in the form \'mobilenet_v1_<depth>_<size>\'.''',
   )
   parser.add_argument(
       '''--checkpoint_path''', required=True, type=str, help='''Path to the original TensorFlow checkpoint (.ckpt file).'''
   )
   parser.add_argument(
       '''--pytorch_dump_folder_path''', required=True, type=str, help='''Path to the output PyTorch model directory.'''
   )
   parser.add_argument(
       '''--push_to_hub''', action='''store_true''', help='''Whether or not to push the converted model to the 🤗 hub.'''
   )

   _lowerCAmelCase										=     parser.parse_args()
   convert_movilevit_checkpoint(
       args.model_name, args.checkpoint_path, args.pytorch_dump_folder_path, args.push_to_hub
   )







'''simple docstring'''





from typing import Any






class 	lowerCAmelCase_:
  '''simple docstring'''




  def __init__(   self  ,__UpperCAmelCase				)   ->		Any:
      lowerCAmelCase__			:  Optional[Any]											= data
      lowerCAmelCase__			:  str											= None






  def __repr__(   self				)   ->		str:
      return F"""Node({self.data})"""







class 	lowerCAmelCase_:
  '''simple docstring'''




  def __init__(   self				)   ->		List[Any]:
      lowerCAmelCase__			:  List[str]											= None




  def __iter__(   self				)   ->		Any:
      lowerCAmelCase__			:  int											= self.head
      while node:
          yield node.data
          lowerCAmelCase__			:  Optional[Any]											= node.next




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




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




  def __getitem__(   self  ,__UpperCAmelCase				)   ->		Any:
      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				)   ->		None:
      if not 0 <= index < len(self				):
          raise ValueError("""list index out of range."""				)
      lowerCAmelCase__			:  List[Any]											= self.head
      for _ in range(__UpperCAmelCase				):
          lowerCAmelCase__			:  List[str]											= current.next
      lowerCAmelCase__			:  Dict											= data




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase				)   ->		None:
      self.insert_nth(len(self				)  ,__UpperCAmelCase				)




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase				)   ->		None:
      self.insert_nth(0  ,__UpperCAmelCase				)




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




  def 							UpperCAmelCase_     (   self				)   ->		None:  # print every node data
      print(self				)




  def 							UpperCAmelCase_     (   self				)   ->		Any:
      return self.delete_nth(0				)




  def 							UpperCAmelCase_     (   self				)   ->		Any:  # delete from tail
      return self.delete_nth(len(self				) - 1				)




  def 							UpperCAmelCase_     (   self  ,__UpperCAmelCase = 0				)   ->		Any:
      if not 0 <= index <= len(self				) - 1:  # test if index is valid
          raise IndexError("""List index out of range."""				)
      lowerCAmelCase__			:  List[Any]											= self.head  # default first node
      if index == 0:
          lowerCAmelCase__			:  str											= self.head.next
      else:
          lowerCAmelCase__			:  int											= self.head
          for _ in range(index - 1				):
              lowerCAmelCase__			:  Union[str, Any]											= temp.next
          lowerCAmelCase__			:  Optional[Any]											= temp.next
          lowerCAmelCase__			:  Any											= temp.next.next
      return delete_node.data




  def 							UpperCAmelCase_     (   self				)   ->		bool:
      return self.head is None






  def 							UpperCAmelCase_     (   self				)   ->		None:
      lowerCAmelCase__			:  Optional[int]											= None
      lowerCAmelCase__			:  str											= self.head

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







def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Dict											= LinkedList()
    assert linked_list.is_empty() is True
    assert str(UpperCamelCase      ) == ""

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

    linked_list.insert_head(0      )
    linked_list.insert_tail(11      )
    assert str(UpperCamelCase      ) == "->".join(str(UpperCamelCase      ) 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(UpperCamelCase      ) == 9
    assert str(UpperCamelCase      ) == "->".join(str(UpperCamelCase      ) 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      ):
        lowerCAmelCase__			:  str											= -i
    assert all(linked_list[i] == -i for i in range(0							,   9      )      ) is True

    linked_list.reverse()
    assert str(UpperCamelCase      ) == "->".join(str(UpperCamelCase      ) for i in range(-8							,   1      )      )
def        _SCREAMING_SNAKE_CASE  (	):



    """simple docstring"""





    lowerCAmelCase__			:  Any											= [
        -9,
        100,
        Node(77345112      ),
        """dlrow olleH""",
        7,
        5555,
        0,
        -192.5_5555,
        """Hello, world!""",
        77.9,
        Node(10      ),
        None,
        None,
        12.20,
    ]
    lowerCAmelCase__			:  List[Any]											= LinkedList()

    for i in test_input:
        linked_list.insert_tail(UpperCamelCase      )

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

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

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



    """simple docstring"""





    from doctest import testmod

    testmod()

    lowerCAmelCase__			:  str											= 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(UpperCamelCase      )
    print("""\nReading/changing Node data using indexing:"""      )
    print(f"""Element at Position 1: {linked_list[1]}"""      )
    lowerCAmelCase__			:  Dict											= input("""Enter New Value: """      ).strip()
    print("""New list:"""      )
    print(UpperCamelCase      )
    print(f"""length of linked_list is : {len(UpperCamelCase      )}"""      )


if __name__ == "__main__":
 main()


