"""simple docstring"""



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


__lowercase		:		List[Any]														=							{
    'albert-base-v1': 'https://huggingface.co/albert-base-v1/resolve/main/config.json',
    'albert-large-v1': 'https://huggingface.co/albert-large-v1/resolve/main/config.json',
    'albert-xlarge-v1': 'https://huggingface.co/albert-xlarge-v1/resolve/main/config.json',
    'albert-xxlarge-v1': 'https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json',
    'albert-base-v2': 'https://huggingface.co/albert-base-v2/resolve/main/config.json',
    'albert-large-v2': 'https://huggingface.co/albert-large-v2/resolve/main/config.json',
    'albert-xlarge-v2': 'https://huggingface.co/albert-xlarge-v2/resolve/main/config.json',
    'albert-xxlarge-v2': 'https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json',
}



class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    UpperCamelCase_	:					List[Any]							=					'''albert'''
    def __init__(		self							:     Optional[Any]	,      A_							:     int=30_000	,      A_							:     Optional[int]=128	,      A_							:     str=4_096	,      A_							:     Any=12	,      A_							:     Optional[int]=1	,      A_							:     Optional[Any]=64	,      A_							:     List[str]=16_384	,      A_							:     Union[str, Any]=1	,      A_							:     int="gelu_new"	,      A_							:     List[Any]=0	,      A_							:     Optional[int]=0	,      A_							:     str=512	,      A_							:     List[Any]=2	,      A_							:     List[Any]=0.02	,      A_							:     str=1E-1_2	,      A_							:     Tuple=0.1	,      A_							:     Union[str, Any]="absolute"	,      A_							:     Optional[Any]=0	,      A_							:     Optional[int]=2	,      A_							:     Union[str, Any]=3	,      **A_							:     int	,      )    ->       int:
         super().__init__(pad_token_id=A__	,      bos_token_id=A__	,      eos_token_id=A__	,      **A__    )

         __snake_case				=							vocab_size
         __snake_case				=							embedding_size
         __snake_case				=							hidden_size
         __snake_case				=							num_hidden_layers
         __snake_case				=							num_hidden_groups
         __snake_case				=							num_attention_heads
         __snake_case				=							inner_group_num
         __snake_case				=							hidden_act
         __snake_case				=							intermediate_size
         __snake_case				=							hidden_dropout_prob
         __snake_case				=							attention_probs_dropout_prob
         __snake_case				=							max_position_embeddings
         __snake_case				=							type_vocab_size
         __snake_case				=							initializer_range
         __snake_case				=							layer_norm_eps
         __snake_case				=							classifier_dropout_prob
         __snake_case				=							position_embedding_type






class      _A	(						_UpperCAmelCase					):




    """simple docstring"""




    @property
    def  lowercase					(		self							:     Any    )    ->       int:
         if self.task == "multiple-choice":
              __snake_case				=							{0: """batch""", 1: """choice""", 2: """sequence"""}
         else:
              __snake_case				=							{0: """batch""", 1: """sequence"""}
         return OrderedDict(
             [
                 ('''input_ids''', dynamic_axis),
                 ('''attention_mask''', dynamic_axis),
                 ('''token_type_ids''', dynamic_axis),
             ]    )
"""simple docstring"""



import qiskit





def    SCREAMING_SNAKE_CASE       (     snake_case,      snake_case):
     __snake_case				=							qiskit.Aer.get_backend('''aer_simulator''')

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

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

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

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


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