


import numpy as np
import qiskit
def 							_UpperCAmelCase       (UpperCamelCase__  :						str       ,							UpperCamelCase__  :						int		):
       _A   : Optional[Any]       					=				qiskit.QuantumCircuit(num_qubits + 1		)

       # First, let's deal with the case in which oracle is balanced
       if case == "balanced":
              # First generate a random number that tells us which CNOTs to
              # wrap in X-gates:
              _A   : List[Any]       					=				np.random.randint(1       ,							2**num_qubits		)
              # Next, format 'b' as a binary string of length 'n', padded with zeros:
              _A   : Any       					=				format(UpperCamelCase__       ,							f"0{num_qubits}b"		)
              # Next, we place the first X-gates. Each digit in our binary string
              # corresponds to a qubit, if the digit is 0, we do nothing, if it's 1
              # we apply an X-gate to that qubit:
              for index, bit in enumerate(UpperCamelCase__		):
                     if bit == "1":
                            oracle_qc.x(UpperCamelCase__		)
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
              for index in range(UpperCamelCase__		):
                     oracle_qc.cx(UpperCamelCase__       ,							UpperCamelCase__		)
              # Next, place the final X-gates
              for index, bit in enumerate(UpperCamelCase__		):
                     if bit == "1":
                            oracle_qc.x(UpperCamelCase__		)

    # Case in which oracle is constant
       if case == "constant":
              # First decide what the fixed output of the oracle will be
              # (either always 0 or always 1)
              _A   : Optional[int]       					=				np.random.randint(2		)
              if output == 1:
                     oracle_qc.x(UpperCamelCase__		)

       _A   : int       					=				oracle_qc.to_gate()
       _A   : int       					=				"Oracle"  # To show when we display the circuit
       return oracle_gate
def 							_UpperCAmelCase       (UpperCamelCase__  :						qiskit.QuantumCircuit       ,							UpperCamelCase__  :						int		):
       _A   : str       					=				qiskit.QuantumCircuit(num_qubits + 1       ,							UpperCamelCase__		)
       # Set up the output qubit:
       dj_circuit.x(UpperCamelCase__		)
       dj_circuit.h(UpperCamelCase__		)
       # And set up the input register:
       for qubit in range(UpperCamelCase__		):
              dj_circuit.h(UpperCamelCase__		)
       # Let's append the oracle gate to our circuit:
       dj_circuit.append(UpperCamelCase__       ,							range(num_qubits + 1		)		)
       # Finally, perform the H-gates again and measure:
       for qubit in range(UpperCamelCase__		):
              dj_circuit.h(UpperCamelCase__		)

       for i in range(UpperCamelCase__		):
              dj_circuit.measure(UpperCamelCase__       ,							UpperCamelCase__		)

       return dj_circuit
def 							_UpperCAmelCase       (UpperCamelCase__  :						str       ,							UpperCamelCase__  :						int		):
       _A   : Tuple       					=				qiskit.Aer.get_backend("aer_simulator"		)

       _A   : Union[str, Any]       					=				dj_oracle(UpperCamelCase__       ,							UpperCamelCase__		)
       _A   : Optional[Any]       					=				dj_algorithm(UpperCamelCase__       ,							UpperCamelCase__		)

       # Execute the circuit on the simulator
       _A   : Any       					=				qiskit.execute(UpperCamelCase__       ,							UpperCamelCase__       ,							shots=1000		)

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


if __name__ == "__main__":
    print(f"Deutsch Jozsa - Constant Oracle: {deutsch_jozsa('constant', 3)}")
    print(f"Deutsch Jozsa - Balanced Oracle: {deutsch_jozsa('balanced', 3)}")




from typing import TYPE_CHECKING

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


lowerCAmelCase__   	=				{'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__   	=				['DetrFeatureExtractor']
    lowerCAmelCase__   	=				['DetrImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__   	=				[
        'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
        'DetrForObjectDetection',
        'DetrForSegmentation',
        'DetrModel',
        'DetrPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_detr import DetrFeatureExtractor
        from .image_processing_detr import DetrImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_detr import (
            DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
            DetrForObjectDetection,
            DetrForSegmentation,
            DetrModel,
            DetrPreTrainedModel,
        )

else:
    import sys

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