




import cva
import numpy as np

def 					A				(				_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )     ->			int:

       try:
              return int(image[x_coordinate][y_coordinate] >= center   )
       except (IndexError, TypeError):
              return 0

def 					A				(				_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )     ->			int:
       lowerCamelCase       :				str      			= image[x_coordinate][y_coordinate]
       lowerCamelCase       :				Dict      			= [1, 2, 4, 8, 16, 32, 64, 128]

       # skip get_neighbors_pixel if center is null
       if center is None:
              return 0

       # Starting from the top right, assigning value to pixels clockwise
       lowerCamelCase       :				Optional[int]      			= [
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate - 1			,y_coordinate + 1			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE			,y_coordinate + 1			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate - 1			,_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate + 1			,y_coordinate + 1			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate + 1			,_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate + 1			,y_coordinate - 1			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE			,y_coordinate - 1			,_SCREAMING_SNAKE_CASE   ),
           get_neighbors_pixel(_SCREAMING_SNAKE_CASE			,x_coordinate - 1			,y_coordinate - 1			,_SCREAMING_SNAKE_CASE   ),
       ]

       # Converting the binary value to decimal.
       return sum(
           binary_value * power for binary_value, power in zip(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )   )


if __name__ == "__main__":
       # Reading the image and converting it to grayscale.
       SCREAMING_SNAKE_CASE__	:				Tuple  =       cva.imread(
           'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
       )

       # Create a numpy array as the same height and width of read image
       SCREAMING_SNAKE_CASE__	:				List[str]  =       np.zeros((image.shape[0], image.shape[1]))

       # Iterating through the image and calculating the
       # local binary pattern value for each pixel.
       for i in range(0, image.shape[0]):
              for j in range(0, image.shape[1]):
                     SCREAMING_SNAKE_CASE__	:				Tuple  =       local_binary_value(image, i, j)

       cva.imshow('local binary pattern', lbp_image)
       cva.waitKey(0)
       cva.destroyAllWindows()












import numpy as np
import qiskit

def 					A				(				_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )     ->			qiskit.QuantumCircuit:
       lowerCamelCase       :				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:
              lowerCamelCase       :				Optional[int]      			= np.random.randint(1			,2**num_qubits   )
              # Next, format 'b' as a binary string of length 'n', padded with zeros:
              lowerCamelCase       :				str      			= 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)
              lowerCamelCase       :				str      			= np.random.randint(2   )
              if output == 1:
                     oracle_qc.x(_SCREAMING_SNAKE_CASE   )

       lowerCamelCase       :				int      			= oracle_qc.to_gate()
       lowerCamelCase       :				Tuple      			= "Oracle"  # To show when we display the circuit
       return oracle_gate

def 					A				(				_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )     ->			qiskit.QuantumCircuit:
       lowerCamelCase       :				Union[str, Any]      			= 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 					A				(				_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )     ->			qiskit.result.counts.Counts:
       lowerCamelCase       :				Tuple      			= qiskit.Aer.get_backend("aer_simulator"   )

       lowerCamelCase       :				Tuple      			= dj_oracle(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )
       lowerCamelCase       :				List[Any]      			= dj_algorithm(_SCREAMING_SNAKE_CASE			,_SCREAMING_SNAKE_CASE   )

       # Execute the circuit on the simulator
       lowerCamelCase       :				List[Any]      			= 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)}''')






