from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowercase											=      {
    '''configuration_luke''': ['''LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''LukeConfig'''],
    '''tokenization_luke''': ['''LukeTokenizer'''],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowercase											=      [
        '''LUKE_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''LukeForEntityClassification''',
        '''LukeForEntityPairClassification''',
        '''LukeForEntitySpanClassification''',
        '''LukeForMultipleChoice''',
        '''LukeForQuestionAnswering''',
        '''LukeForSequenceClassification''',
        '''LukeForTokenClassification''',
        '''LukeForMaskedLM''',
        '''LukeModel''',
        '''LukePreTrainedModel''',
    ]


if TYPE_CHECKING:
    from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
    from .tokenization_luke import LukeTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_luke import (
            LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
            LukeForEntityClassification,
            LukeForEntityPairClassification,
            LukeForEntitySpanClassification,
            LukeForMaskedLM,
            LukeForMultipleChoice,
            LukeForQuestionAnswering,
            LukeForSequenceClassification,
            LukeForTokenClassification,
            LukeModel,
            LukePreTrainedModel,
        )

else:
    import sys

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






import qiskit



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	qiskit.Aer.get_backend('''aer_simulator'''			)

    __UpperCamelCase  :Tuple    						=	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
    __UpperCamelCase  :Optional[Any]    						=	qiskit.execute(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    shots=1_000			)

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


if __name__ == "__main__":
    __lowercase											=      half_adder(1, 1)
    print(F'Half Adder Output Qubit Counts: {counts}')





