


'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


__snake_case							   =  logging.get_logger(__name__)

__snake_case							   =  {
    '''abeja/gpt-neox-japanese-2.7b''': '''https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json''',
}
class      lowercase			(							A__  ):

		"""simple docstring"""

		_a									=       'gpt_neox_japanese'




		def __init__(	self					,     UpperCamelCase_=32000					,     UpperCamelCase_=2560					,     UpperCamelCase_=32					,     UpperCamelCase_=32					,     UpperCamelCase_=4					,     UpperCamelCase_="gelu"					,     UpperCamelCase_=1.00					,     UpperCamelCase_=10000					,     UpperCamelCase_=2048					,     UpperCamelCase_=0.02					,     UpperCamelCase_=1e-5					,     UpperCamelCase_=True					,     UpperCamelCase_=31996					,     UpperCamelCase_=31999					,     UpperCamelCase_=0.1					,     UpperCamelCase_=0.0					,     **UpperCamelCase_					,     ):

							'''simple docstring'''


							super().__init__(bos_token_id=UpperCamelCase_					,     eos_token_id=UpperCamelCase_					,     **UpperCamelCase_							)
							UpperCamelCase__     :Tuple							      =				vocab_size
							UpperCamelCase__     :Optional[int]							      =				max_position_embeddings
							UpperCamelCase__     :Dict							      =				hidden_size
							UpperCamelCase__     :Union[str, Any]							      =				num_hidden_layers
							UpperCamelCase__     :Union[str, Any]							      =				num_attention_heads
							UpperCamelCase__     :Optional[Any]							      =				intermediate_multiple_size
							UpperCamelCase__     :List[str]							      =				hidden_act
							UpperCamelCase__     :Optional[Any]							      =				rotary_pct
							UpperCamelCase__     :List[str]							      =				rotary_emb_base
							UpperCamelCase__     :int							      =				initializer_range
							UpperCamelCase__     :Dict							      =				layer_norm_eps
							UpperCamelCase__     :Dict							      =				use_cache
							UpperCamelCase__     :Optional[Any]							      =				attention_dropout
							UpperCamelCase__     :Dict							      =				hidden_dropout



'''simple docstring'''
import qiskit


def     a   (    __a				,      __a     )						->			qiskit.result.counts.Counts:



					'''simple docstring'''






					UpperCamelCase__     :int							      =				qiskit.Aer.get_backend('''aer_simulator'''     )

					# Create a Quantum Circuit acting on the q register
					UpperCamelCase__     :Any							      =				qiskit.QuantumCircuit(__a				,      __a     )

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

					# Execute the circuit on the simulator
					UpperCamelCase__     :Optional[int]							      =				qiskit.execute(__a				,      __a				,      shots=1000     )

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


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