





'''simple docstring'''

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


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

__lowerCAmelCase							:     str		     ={
    "SCUT-DLVCLab/lilt-roberta-en-base": (
        "https://huggingface.co/SCUT-DLVCLab/lilt-roberta-en-base/resolve/main/config.json"
    ),
}






class        UpperCAmelCase     (	UpperCamelCase__    ):
 __lowercase       		=    """lilt"""
 def __init__(    self				:List[Any]						,	lowercase_				:Any=3_05_22						,	lowercase_				:List[Any]=7_68						,	lowercase_				:Tuple=12						,	lowercase_				:Tuple=12						,	lowercase_				:Dict=30_72						,	lowercase_				:Union[str, Any]="gelu"						,	lowercase_				:int=0.1						,	lowercase_				:int=0.1						,	lowercase_				:Union[str, Any]=5_12						,	lowercase_				:Optional[int]=2						,	lowercase_				:Any=0.0_2						,	lowercase_				:Any=1E-12						,	lowercase_				:Any=0						,	lowercase_				:Tuple="absolute"						,	lowercase_				:Optional[int]=None						,	lowercase_				:int=4						,	lowercase_				:int=10_24						,	**lowercase_				:Dict						,	)->							str:
     super().__init__(pad_token_id=lowercase_						,	**lowercase_							)

     A__    =      vocab_size
     A__    =      hidden_size
     A__    =      num_hidden_layers
     A__    =      num_attention_heads
     A__    =      hidden_act
     A__    =      intermediate_size
     A__    =      hidden_dropout_prob
     A__    =      attention_probs_dropout_prob
     A__    =      max_position_embeddings
     A__    =      type_vocab_size
     A__    =      initializer_range
     A__    =      layer_norm_eps
     A__    =      position_embedding_type
     A__    =      classifier_dropout
     A__    =      channel_shrink_ratio
     A__    =      max_ad_position_embeddings










'''simple docstring'''

import qiskit





def 						UpperCamelCase    (							_lowerCamelCase : int						,	_lowerCamelCase : int	):
    A__    =      qiskit.Aer.get_backend("aer_simulator"	)

    # Create a Quantum Circuit acting on the q register
    A__    =      qiskit.QuantumCircuit(_lowerCamelCase						,	_lowerCamelCase	)

    # Map the quantum measurement to the classical bits
    circuit.measure([0]						,	[0]	)

    # Execute the circuit on the simulator
    A__    =      qiskit.execute(_lowerCamelCase						,	_lowerCamelCase						,	shots=10_00	)

    # Return the histogram data of the results of the experiment.
    return job.result().get_counts(_lowerCamelCase	)


if __name__ == "__main__":
  print(f"""Total count for various states are: {single_qubit_measure(1, 1)}""")



