

import qiskit
def      a      (			A__	:   int      ,   A__	:   int     )    ->      qiskit.result.counts.Counts:





      """simple docstring"""



      _lowercase	       =qiskit.Aer.get_backend('aer_simulator'     )

      _lowercase	       =qiskit.QuantumCircuit(4      ,   2     )
      # encode inputs in qubits 0 and 1
      if bita == 1:
            qc_ha.x(0     )
      if bita == 1:
            qc_ha.x(1     )
      qc_ha.barrier()

      # use cnots to write XOR of the inputs on qubit2
      qc_ha.cx(0      ,   2     )
      qc_ha.cx(1      ,   2     )

      # use ccx / toffoli gate to write AND of the inputs on qubit3
      qc_ha.ccx(0      ,   1      ,   3     )
      qc_ha.barrier()

      # extract outputs
      qc_ha.measure(2      ,   0     )  # extract XOR value
      qc_ha.measure(3      ,   1     )  # extract AND value

      # Execute the circuit on the qasm simulator
      _lowercase	       =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__":
  lowercase_									=   half_adder(1, 1)
  print(f"Half Adder Output Qubit Counts: {counts}")





from typing import TYPE_CHECKING

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


lowercase_									=   {
    'configuration_pix2struct': [
        'PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'Pix2StructConfig',
        'Pix2StructTextConfig',
        'Pix2StructVisionConfig',
    ],
    'processing_pix2struct': ['Pix2StructProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   ['Pix2StructImageProcessor']


try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_									=   [
      'PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'Pix2StructPreTrainedModel',
      'Pix2StructForConditionalGeneration',
      'Pix2StructVisionModel',
      'Pix2StructTextModel',
  ]

if TYPE_CHECKING:
  from .configuration_pixastruct import (
      PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
      PixaStructConfig,
      PixaStructTextConfig,
      PixaStructVisionConfig,
  )
  from .processing_pixastruct import PixaStructProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_pixastruct import PixaStructImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_pixastruct import (
        PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
        PixaStructForConditionalGeneration,
        PixaStructPreTrainedModel,
        PixaStructTextModel,
        PixaStructVisionModel,
    )

else:
  import sys

  lowercase_									=   _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


