




import qiskit



def       UpperCAmelCase__  (     lowerCamelCase,			lowerCamelCase   ):
  lowercase    :Any      	=						qiskit.Aer.get_backend("aer_simulator"   )

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

  # Apply X (NOT) Gate to Qubits 0 & 1
  circuit.x(0   )
  circuit.x(1   )

  # Map the quantum measurement to the classical bits
  circuit.measure([0, 1],			[0, 1]   )

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

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


if __name__ == "__main__":
   _UpperCAmelCase	:						List[str]			=     single_qubit_measure(2, 2)
   print(f'''Total count for various states are: {counts}''')









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_UpperCAmelCase	:						Optional[int]			=     {
    "configuration_biogpt": ["BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP", "BioGptConfig"],
    "tokenization_biogpt": ["BioGptTokenizer"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     _UpperCAmelCase	:						int			=     [
         "BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BioGptForCausalLM",
         "BioGptForTokenClassification",
         "BioGptForSequenceClassification",
         "BioGptModel",
         "BioGptPreTrainedModel",
     ]


if TYPE_CHECKING:
     from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
     from .tokenization_biogpt import BioGptTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_biogpt import (
              BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
              BioGptForCausalLM,
              BioGptForSequenceClassification,
              BioGptForTokenClassification,
              BioGptModel,
              BioGptPreTrainedModel,
          )


else:
     import sys

     _UpperCAmelCase	:						Optional[Any]			=     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



