






"""simple docstring"""
from __future__ import annotations

from enum import Enum, unique
from typing import TypeVar

# Create a generic variable that can be 'Enum', or any subclass.
snake_case   :   Any    		=		TypeVar("""T""", bound="""Enum""")



@unique
class 					UpperCamelCase__   (							a_):







    """simple docstring"""
    __UpperCAmelCase											=   80
    __UpperCAmelCase											=   70
    __UpperCAmelCase											=   60
    __UpperCAmelCase											=   50
    __UpperCAmelCase											=   40
    __UpperCAmelCase											=   30
    __UpperCAmelCase											=   20
    __UpperCAmelCase											=   10



@unique
class 					UpperCamelCase__   (							a_):







    """simple docstring"""
    __UpperCAmelCase											=   24
    __UpperCAmelCase											=   21
    __UpperCAmelCase											=   18
    __UpperCAmelCase											=   15
    __UpperCAmelCase											=   12
    __UpperCAmelCase											=   9
    __UpperCAmelCase											=   6
    __UpperCAmelCase											=   3
    __UpperCAmelCase											=   2
    __UpperCAmelCase											=   1
    __UpperCAmelCase											=   -1
    __UpperCAmelCase											=   -2
    __UpperCAmelCase											=   -3
    __UpperCAmelCase											=   -6
    __UpperCAmelCase											=   -9
    __UpperCAmelCase											=   -12
    __UpperCAmelCase											=   -15
    __UpperCAmelCase											=   -18
    __UpperCAmelCase											=   -21
    __UpperCAmelCase											=   -24







    @classmethod
    def 							a__ (		cls   :  type[T]   ):





           '''simple docstring'''

           return {unit.name: unit.value for unit in cls if unit.value > 0}







    @classmethod
    def 							a__ (		cls   :  type[T]   ):





           '''simple docstring'''

           return {unit.name: unit.value for unit in cls if unit.value < 0}


def        A	(							__snake_case:   float     )						->		str:

       """simple docstring"""





       __magic_name__										=						SIUnit.get_positive() if value > 0 else SIUnit.get_negative()
       for name_prefix, value_prefix in prefixes.items():
              __magic_name__										=						value / (1_0**value_prefix)
              if numerical_part > 1:
                     return F"""{numerical_part!s} {name_prefix}"""
       return str(__snake_case     )


def        A	(							__snake_case:   float     )						->		str:

       """simple docstring"""





       for prefix in BinaryUnit:
              __magic_name__										=						value / (2**prefix.value)
              if numerical_part > 1:
                     return F"""{numerical_part!s} {prefix.name}"""
       return str(__snake_case     )


if __name__ == "__main__":
 import doctest

 doctest.testmod()







"""simple docstring"""
import numpy as np
import qiskit


def        A	(							__snake_case:   str   ,    __snake_case:   int     )						->		qiskit.QuantumCircuit:

       """simple docstring"""





       __magic_name__										=						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:
              __magic_name__										=						np.random.randint(1   ,    2**num_qubits     )
              # Next, format 'b' as a binary string of length 'n', padded with zeros:
              __magic_name__										=						format(__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(__snake_case     ):
                     if bit == "1":
                            oracle_qc.x(__snake_case     )
        # Do the controlled-NOT gates for each qubit, using the output qubit
        # as the target:
              for index in range(__snake_case     ):
                     oracle_qc.cx(__snake_case   ,    __snake_case     )
              # Next, place the final X-gates
              for index, bit in enumerate(__snake_case     ):
                     if bit == "1":
                            oracle_qc.x(__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)
              __magic_name__										=						np.random.randint(2     )
              if output == 1:
                     oracle_qc.x(__snake_case     )

       __magic_name__										=						oracle_qc.to_gate()
       __magic_name__										=						'Oracle'  # To show when we display the circuit
       return oracle_gate


def        A	(							__snake_case:   qiskit.QuantumCircuit   ,    __snake_case:   int     )						->		qiskit.QuantumCircuit:

       """simple docstring"""





       __magic_name__										=						qiskit.QuantumCircuit(num_qubits + 1   ,    __snake_case     )
       # Set up the output qubit:
       dj_circuit.x(__snake_case     )
       dj_circuit.h(__snake_case     )
       # And set up the input register:
       for qubit in range(__snake_case     ):
              dj_circuit.h(__snake_case     )
       # Let's append the oracle gate to our circuit:
       dj_circuit.append(__snake_case   ,    range(num_qubits + 1     )     )
       # Finally, perform the H-gates again and measure:
       for qubit in range(__snake_case     ):
              dj_circuit.h(__snake_case     )

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

       return dj_circuit


def        A	(							__snake_case:   str   ,    __snake_case:   int     )						->		qiskit.result.counts.Counts:

       """simple docstring"""





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

       __magic_name__										=						dj_oracle(__snake_case   ,    __snake_case     )
       __magic_name__										=						dj_algorithm(__snake_case   ,    __snake_case     )

       # Execute the circuit on the simulator
       __magic_name__										=						qiskit.execute(__snake_case   ,    __snake_case   ,    shots=1_0_0_0     )

       # Return the histogram data of the results of the experiment.
       return job.result().get_counts(__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)}""")