


'''simple docstring'''



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


__UpperCAmelCase      :List[str]			    =       logging.get_logger(__name__)

__UpperCAmelCase      :int			    =       {
    "google/mobilenet_v2_1.4_224": "https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json",
    "google/mobilenet_v2_1.0_224": "https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json",
    "google/mobilenet_v2_0.75_160": "https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json",
    "google/mobilenet_v2_0.35_96": "https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}



class      a    (		_a	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Union[str, Any]							       =       "mobilenet_v2"

     def __init__(    self					:		Optional[int]							,			snake_case					:		Tuple=3							,			snake_case					:		List[str]=224							,			snake_case					:		Dict=1.0							,			snake_case					:		Tuple=8							,			snake_case					:		Optional[Any]=8							,			snake_case					:		Optional[Any]=6							,			snake_case					:		List[str]=32							,			snake_case					:		Optional[int]=True							,			snake_case					:		Dict=True							,			snake_case					:		Union[str, Any]="relu6"							,			snake_case					:		Tuple=True							,			snake_case					:		Tuple=0.8							,			snake_case					:		Optional[int]=0.02							,			snake_case					:		Any=0.001							,			snake_case					:		int=255							,			**snake_case					:		Any							,			)						->							int:
          super().__init__(**snake_case      )

          if depth_multiplier <= 0:
               raise ValueError('''depth_multiplier must be greater than zero.'''      )

          __UpperCAmelCase     :			List[str]  							=      num_channels
          __UpperCAmelCase     :			int  							=      image_size
          __UpperCAmelCase     :			Dict  							=      depth_multiplier
          __UpperCAmelCase     :			Tuple  							=      depth_divisible_by
          __UpperCAmelCase     :			Optional[int]  							=      min_depth
          __UpperCAmelCase     :			str  							=      expand_ratio
          __UpperCAmelCase     :			Union[str, Any]  							=      output_stride
          __UpperCAmelCase     :			Optional[int]  							=      first_layer_is_expansion
          __UpperCAmelCase     :			Union[str, Any]  							=      finegrained_output
          __UpperCAmelCase     :			Union[str, Any]  							=      hidden_act
          __UpperCAmelCase     :			Optional[Any]  							=      tf_padding
          __UpperCAmelCase     :			int  							=      classifier_dropout_prob
          __UpperCAmelCase     :			Dict  							=      initializer_range
          __UpperCAmelCase     :			str  							=      layer_norm_eps
          __UpperCAmelCase     :			Union[str, Any]  							=      semantic_loss_ignore_index



class      a    (		_a	):


     """simple docstring"""






     SCREAMING_SNAKE_CASE	:			Union[str, Any]							       =       version.parse("1.11"	)

     @property
     def 			lowerCamelCase__			(    self					:		str      )						->							Mapping[str, Mapping[int, str]]:
          return OrderedDict([('''pixel_values''', {0: '''batch'''})]      )

     @property
     def 			lowerCamelCase__			(    self					:		List[str]      )						->							Mapping[str, Mapping[int, str]]:
          if self.task == "image-classification":
               return OrderedDict([('''logits''', {0: '''batch'''})]      )
          else:
               return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]      )






     @property
     def 			lowerCamelCase__			(    self					:		Any      )						->							float:
          return 1E-4



'''simple docstring'''



import requests

__UpperCAmelCase      :Union[str, Any]			    =       "https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="




def      _a     (						_lowercase :     str  ):





     '''simple docstring'''






     __UpperCAmelCase     :			Union[str, Any]  							=      requests.get(_NEWS_API + bbc_news_api_key  ).json()
     # each article in the list is a dict
     for i, article in enumerate(bbc_news_page['''articles''']      , 1  ):
          print(F'{i}.) {article["title"]}'  )


if __name__ == "__main__":
      fetch_bbc_news(bbc_news_api_key="<Your BBC News API key goes here>")