





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


_snake_case           =			logging.get_logger(__name__)

_snake_case           =			{
    """microsoft/table-transformer-detection""": (
        """https://huggingface.co/microsoft/table-transformer-detection/resolve/main/config.json"""
    ),
}





class  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      'table-transformer'
  __lowerCamelCase		=      ['past_key_values']
  __lowerCamelCase		=      {
      'hidden_size': 'd_model',
      'num_attention_heads': 'encoder_attention_heads',
  }







  def __init__(      self  :List[str]   ,							_lowercase  :Optional[Any]=True   ,							_lowercase  :Optional[int]=None   ,							_lowercase  :Optional[int]=3   ,							_lowercase  :Optional[Any]=1_00   ,							_lowercase  :Optional[int]=6   ,							_lowercase  :int=20_48   ,							_lowercase  :Optional[Any]=8   ,							_lowercase  :Dict=6   ,							_lowercase  :Union[str, Any]=20_48   ,							_lowercase  :int=8   ,							_lowercase  :int=0.0   ,							_lowercase  :List[str]=0.0   ,							_lowercase  :Optional[Any]=True   ,							_lowercase  :int="relu"   ,							_lowercase  :Any=2_56   ,							_lowercase  :List[Any]=0.1   ,							_lowercase  :int=0.0   ,							_lowercase  :List[str]=0.0   ,							_lowercase  :Union[str, Any]=0.02   ,							_lowercase  :Tuple=1.0   ,							_lowercase  :str=False   ,							_lowercase  :List[str]="sine"   ,							_lowercase  :str="resnet50"   ,							_lowercase  :str=True   ,							_lowercase  :str=False   ,							_lowercase  :int=1   ,							_lowercase  :List[str]=5   ,							_lowercase  :str=2   ,							_lowercase  :Any=1   ,							_lowercase  :Any=1   ,							_lowercase  :Any=5   ,							_lowercase  :Any=2   ,							_lowercase  :Dict=0.1   ,							**_lowercase  :Tuple   ,							):






     '''simple docstring'''





     if backbone_config is not None and use_timm_backbone:
        raise ValueError("You can't specify both `backbone_config` and `use_timm_backbone`." )

     if not use_timm_backbone:
        if backbone_config is None:
           logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone." )
           lowercase__			       =  CONFIG_MAPPING["resnet"](out_features=["stage4"] )
        elif isinstance(_lowercase   ,							_lowercase ):
           lowercase__			       =  backbone_config.get("model_type" )
           lowercase__			       =  CONFIG_MAPPING[backbone_model_type]
           lowercase__			       =  config_class.from_dict(_lowercase )
        # set timm attributes to None
        lowercase__       ,							lowercase__       ,							lowercase__			       =  None, None, None

     lowercase__			       =  use_timm_backbone
     lowercase__			       =  backbone_config
     lowercase__			       =  num_channels
     lowercase__			       =  num_queries
     lowercase__			       =  d_model
     lowercase__			       =  encoder_ffn_dim
     lowercase__			       =  encoder_layers
     lowercase__			       =  encoder_attention_heads
     lowercase__			       =  decoder_ffn_dim
     lowercase__			       =  decoder_layers
     lowercase__			       =  decoder_attention_heads
     lowercase__			       =  dropout
     lowercase__			       =  attention_dropout
     lowercase__			       =  activation_dropout
     lowercase__			       =  activation_function
     lowercase__			       =  init_std
     lowercase__			       =  init_xavier_std
     lowercase__			       =  encoder_layerdrop
     lowercase__			       =  decoder_layerdrop
     lowercase__			       =  encoder_layers
     lowercase__			       =  auxiliary_loss
     lowercase__			       =  position_embedding_type
     lowercase__			       =  backbone
     lowercase__			       =  use_pretrained_backbone
     lowercase__			       =  dilation
     # Hungarian matcher
     lowercase__			       =  class_cost
     lowercase__			       =  bbox_cost
     lowercase__			       =  giou_cost
     # Loss coefficients
     lowercase__			       =  mask_loss_coefficient
     lowercase__			       =  dice_loss_coefficient
     lowercase__			       =  bbox_loss_coefficient
     lowercase__			       =  giou_loss_coefficient
     lowercase__			       =  eos_coefficient
     super().__init__(is_encoder_decoder=_lowercase   ,							**_lowercase )







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






     '''simple docstring'''





     return self.encoder_attention_heads







  @property
  def   UpperCAmelCase					(      self  :Any ):






     '''simple docstring'''





     return self.d_model





class  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      version.parse('1.11' )







  @property
  def   UpperCAmelCase					(      self  :str ):






     '''simple docstring'''





     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
             ("pixel_mask", {0: "batch"}),
         ] )







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






     '''simple docstring'''





     return 1e-5







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






     '''simple docstring'''





     return 12













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()))






