





from ...configuration_utils import PretrainedConfig
from ...utils import logging


_A :   int  			=  logging.get_logger(__name__)

_A :   str  			=  {
    # See all MEGATRON_BERT models at https://huggingface.co/models?filter=bert
}


class        __SCREAMING_SNAKE_CASE      (			lowerCAmelCase_ ):
       _UpperCAmelCase				:  Tuple			   =   "megatron-bert"







       def __init__(				self					:     List[str]		, A					:     List[Any]=2_9_0_5_6		, A					:     Optional[int]=1_0_2_4		, A					:     str=2_4		, A					:     str=1_6		, A					:     Union[str, Any]=4_0_9_6		, A					:     int="gelu"		, A					:     int=0.1		, A					:     Optional[Any]=0.1		, A					:     List[Any]=5_1_2		, A					:     Optional[Any]=2		, A					:     Tuple=0.02		, A					:     Any=1e-12		, A					:     Optional[Any]=0		, A					:     Optional[int]="absolute"		, A					:     List[str]=True		, **A					:     Union[str, Any]		, )       ->Optional[Any]:
          super().__init__(pad_token_id=A		, **A      )

          lowerCamelCase__       :						List[str]        =							vocab_size
          lowerCamelCase__       :						str        =							hidden_size
          lowerCamelCase__       :						Any        =							num_hidden_layers
          lowerCamelCase__       :						Any        =							num_attention_heads
          lowerCamelCase__       :						str        =							hidden_act
          lowerCamelCase__       :						str        =							intermediate_size
          lowerCamelCase__       :						Dict        =							hidden_dropout_prob
          lowerCamelCase__       :						List[Any]        =							attention_probs_dropout_prob
          lowerCamelCase__       :						Tuple        =							max_position_embeddings
          lowerCamelCase__       :						Union[str, Any]        =							type_vocab_size
          lowerCamelCase__       :						Dict        =							initializer_range
          lowerCamelCase__       :						Dict        =							layer_norm_eps
          lowerCamelCase__       :						Dict        =							position_embedding_type
          lowerCamelCase__       :						Tuple        =							use_cache










import pprint

import requests

_A :   Any  			=  'https://zenquotes.io/api'



def 	_a						(   )    ->    list:







   """simple docstring"""
   return requests.get(API_ENDPOINT_URL + '''/today'''					).json()



def 	_a						(   )    ->    list:







   """simple docstring"""
   return requests.get(API_ENDPOINT_URL + '''/random'''					).json()


if __name__ == "__main__":
       _A :   Optional[Any]  			=  random_quotes()
       pprint.pprint(response)



