





'''simple docstring'''







import numpy as np
import qiskit





def 							lowerCamelCase_   (	SCREAMING_SNAKE_CASE__   :      str,      SCREAMING_SNAKE_CASE__   :      int )			->						qiskit.QuantumCircuit:
						UpperCAmelCase_      :   Optional[int]      =	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:
												UpperCAmelCase_      :   Any      =	np.random.randint(1,      2**num_qubits )
												# Next, format 'b' as a binary string of length 'n', padded with zeros:
												UpperCAmelCase_      :   Optional[int]      =	format(SCREAMING_SNAKE_CASE__,      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(SCREAMING_SNAKE_CASE__ ):
																		if bit == "1":
																								oracle_qc.x(SCREAMING_SNAKE_CASE__ )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
												for index in range(SCREAMING_SNAKE_CASE__ ):
																		oracle_qc.cx(SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__ )
												# Next, place the final X-gates
												for index, bit in enumerate(SCREAMING_SNAKE_CASE__ ):
																		if bit == "1":
																								oracle_qc.x(SCREAMING_SNAKE_CASE__ )

    # 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)
												UpperCAmelCase_      :   int      =	np.random.randint(2 )
												if output == 1:
																		oracle_qc.x(SCREAMING_SNAKE_CASE__ )

						UpperCAmelCase_      :   Union[str, Any]      =	oracle_qc.to_gate()
						UpperCAmelCase_      :   List[Any]      =	'''Oracle'''  # To show when we display the circuit
						return oracle_gate





def 							lowerCamelCase_   (	SCREAMING_SNAKE_CASE__   :      qiskit.QuantumCircuit,      SCREAMING_SNAKE_CASE__   :      int )			->						qiskit.QuantumCircuit:
						UpperCAmelCase_      :   List[str]      =	qiskit.QuantumCircuit(num_qubits + 1,      SCREAMING_SNAKE_CASE__ )
						# Set up the output qubit:
						dj_circuit.x(SCREAMING_SNAKE_CASE__ )
						dj_circuit.h(SCREAMING_SNAKE_CASE__ )
						# And set up the input register:
						for qubit in range(SCREAMING_SNAKE_CASE__ ):
												dj_circuit.h(SCREAMING_SNAKE_CASE__ )
						# Let's append the oracle gate to our circuit:
						dj_circuit.append(SCREAMING_SNAKE_CASE__,      range(num_qubits + 1 ) )
						# Finally, perform the H-gates again and measure:
						for qubit in range(SCREAMING_SNAKE_CASE__ ):
												dj_circuit.h(SCREAMING_SNAKE_CASE__ )

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

						return dj_circuit





def 							lowerCamelCase_   (	SCREAMING_SNAKE_CASE__   :      str,      SCREAMING_SNAKE_CASE__   :      int )			->						qiskit.result.counts.Counts:
						UpperCAmelCase_      :   Dict      =	qiskit.Aer.get_backend('''aer_simulator''' )

						UpperCAmelCase_      :   Dict      =	dj_oracle(SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__ )
						UpperCAmelCase_      :   Optional[Any]      =	dj_algorithm(SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__ )

						# Execute the circuit on the simulator
						UpperCAmelCase_      :   Tuple      =	qiskit.execute(SCREAMING_SNAKE_CASE__,      SCREAMING_SNAKE_CASE__,      shots=1000 )

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


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,
)


UpperCAmelCase__  =			{
    "configuration_align": [
        "ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "AlignConfig",
        "AlignTextConfig",
        "AlignVisionConfig",
    ],
    "processing_align": ["AlignProcessor"],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__  =			[
							    "ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "AlignModel",
							    "AlignPreTrainedModel",
							    "AlignTextModel",
							    "AlignVisionModel",
							]

if TYPE_CHECKING:
							from .configuration_align import (
							    ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    AlignConfig,
							    AlignTextConfig,
							    AlignVisionConfig,
							)
							from .processing_align import AlignProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_align import (
														    ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
														    AlignModel,
														    AlignPreTrainedModel,
														    AlignTextModel,
														    AlignVisionModel,
														)

else:
							import sys

							UpperCAmelCase__  =			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
