





import warnings
from typing import List, Optional, Union

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, PreTokenizedInput, TextInput, TruncationStrategy
from ...utils import TensorType





class  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      ['image_processor', 'tokenizer']
  __lowerCamelCase		=      'ViltImageProcessor'
  __lowerCamelCase		=      ('BertTokenizer', 'BertTokenizerFast')







  def __init__(      self  :Optional[int]   ,							_lowercase  :Optional[int]=None   ,							_lowercase  :Optional[int]=None   ,							**_lowercase  :str ):






     '''simple docstring'''





     lowercase__			       =  None
     if "feature_extractor" in kwargs:
        warnings.warn(
            "The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`"
            " instead."   ,							_lowercase   ,							)
        lowercase__			       =  kwargs.pop("feature_extractor" )

     lowercase__			       =  image_processor if image_processor is not None else feature_extractor
     if image_processor is None:
        raise ValueError("You need to specify an `image_processor`." )
     if tokenizer is None:
        raise ValueError("You need to specify a `tokenizer`." )

     super().__init__(_lowercase   ,							_lowercase )
     lowercase__			       =  self.image_processor







  def __call__(      self  :Any   ,							_lowercase  :List[Any]   ,							_lowercase  :Union[TextInput, PreTokenizedInput, List[TextInput], List[PreTokenizedInput]] = None   ,							_lowercase  :bool = True   ,							_lowercase  :Union[bool, str, PaddingStrategy] = False   ,							_lowercase  :Union[bool, str, TruncationStrategy] = None   ,							_lowercase  :Optional[int] = None   ,							_lowercase  :int = 0   ,							_lowercase  :Optional[int] = None   ,							_lowercase  :Optional[bool] = None   ,							_lowercase  :Optional[bool] = None   ,							_lowercase  :bool = False   ,							_lowercase  :bool = False   ,							_lowercase  :bool = False   ,							_lowercase  :bool = False   ,							_lowercase  :bool = True   ,							_lowercase  :Optional[Union[str, TensorType]] = None   ,							**_lowercase  :Union[str, Any]   ,							):






     '''simple docstring'''





     lowercase__			       =  self.tokenizer(
         text=_lowercase   ,							add_special_tokens=_lowercase   ,							padding=_lowercase   ,							truncation=_lowercase   ,							max_length=_lowercase   ,							stride=_lowercase   ,							pad_to_multiple_of=_lowercase   ,							return_token_type_ids=_lowercase   ,							return_attention_mask=_lowercase   ,							return_overflowing_tokens=_lowercase   ,							return_special_tokens_mask=_lowercase   ,							return_offsets_mapping=_lowercase   ,							return_length=_lowercase   ,							verbose=_lowercase   ,							return_tensors=_lowercase   ,							**_lowercase   ,							)
     # add pixel_values + pixel_mask
     lowercase__			       =  self.image_processor(_lowercase   ,							return_tensors=_lowercase )
     encoding.update(_lowercase )

     return encoding







  def   UpperCAmelCase					(      self  :Any   ,							*_lowercase  :Any   ,							**_lowercase  :int ):






     '''simple docstring'''





     return self.tokenizer.batch_decode(*_lowercase   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							*_lowercase  :List[Any]   ,							**_lowercase  :Optional[Any] ):






     '''simple docstring'''





     return self.tokenizer.decode(*_lowercase   ,							**_lowercase )







  @property
  def   UpperCAmelCase					(      self  :Any ):






     '''simple docstring'''





     lowercase__			       =  self.tokenizer.model_input_names
     lowercase__			       =  self.image_processor.model_input_names
     return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names ) )







  @property
  def   UpperCAmelCase					(      self  :Union[str, Any] ):






     '''simple docstring'''





     warnings.warn(
         "`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead."   ,							_lowercase   ,							)
     return self.image_processor_class







  @property
  def   UpperCAmelCase					(      self  :List[str] ):






     '''simple docstring'''





     warnings.warn(
         "`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead."   ,							_lowercase   ,							)
     return self.image_processor













from collections import namedtuple

import requests
from lxml import html  # type: ignore

_snake_case           =			namedtuple("""covid_data""", """cases deaths recovered""")


def _A       (   __magic_name__ = "https://www.worldometers.info/coronavirus/"	):
   lowercase__			       =  "//div[@class = \"maincounter-number\"]/span/text()"
   return covid_data(*html.fromstring(requests.get(__magic_name__	).content	).xpath(__magic_name__	)	)


_snake_case           =			"""Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""







print(fmt.format(*covid_stats()))






