
"""simple docstring"""

import cva
import numpy as np

class __lowerCAmelCase	:





     def __init__(			self			,  __UpperCAmelCase			,  __UpperCAmelCase   ):

      '''simple docstring'''




      if k in (0.0_4, 0.0_6):
       __UpperCamelCase       						= k
       __UpperCamelCase       						= window_size
      else:
       raise ValueError('invalid k value'   )





     def __str__(			self   ):

      '''simple docstring'''




      return str(self.k   )







     def 		UpperCAmelCase      (			self			,  __UpperCAmelCase   ):

      '''simple docstring'''




      __UpperCamelCase       						= cva.imread(__lowerCamelCase			,  0   )
      __UpperCamelCase       						= img.shape
      __UpperCamelCase       						= []
      __UpperCamelCase       						= img.copy()
      __UpperCamelCase       						= cva.cvtColor(__lowerCamelCase			,  cva.COLOR_GRAY2RGB   )
      __UpperCamelCase       						= np.gradient(__lowerCamelCase   )
      __UpperCamelCase       						= dx**2
      __UpperCamelCase       						= dy**2
      __UpperCamelCase       						= dx * dy
      __UpperCamelCase       						= 0.0_4
      __UpperCamelCase       						= self.window_size // 2
      for y in range(__lowerCamelCase			,  h - offset   ):
       for x in range(__lowerCamelCase			,  w - offset   ):
        __UpperCamelCase       						= ixx[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()
        __UpperCamelCase       						= iyy[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()
        __UpperCamelCase       						= ixy[
            y - offset : y + offset + 1, x - offset : x + offset + 1
        ].sum()

        __UpperCamelCase       						= (wxx * wyy) - (wxy**2)
        __UpperCamelCase       						= wxx + wyy
        __UpperCamelCase       						= det - k * (trace**2)
        # Can change the value
        if r > 0.5:
         corner_list.append([x, y, r]   )
         color_img.itemset((y, x, 0)			,  0   )
         color_img.itemset((y, x, 1)			,  0   )
         color_img.itemset((y, x, 2)			,  255   )
      return color_img, corner_list


if __name__ == "__main__":
      UpperCamelCase			:       Tuple									=				HarrisCorner(0.04, 3)
      UpperCamelCase			:       Optional[int]									=				edge_detect.detect("path_to_image")
      cva.imwrite("detect.png", color_img)





"""simple docstring"""

import numpy as np
import qiskit






def 							A		(       snake_case   :int = 8       ,      snake_case   :int | None = None	)   ->			str:
 __UpperCamelCase       						= np.random.default_rng(seed=snake_case	)

 # Roughly 25% of the qubits will contribute to the key.
 # So we take more than we need.
 __UpperCamelCase       						= 6 * key_len
 # Measurement basis for Alice's qubits.
 __UpperCamelCase       						= rng.integers(2       ,      size=snake_case	)
 # The set of states Alice will prepare.
 __UpperCamelCase       						= rng.integers(2       ,      size=snake_case	)
 # Measurement basis for Bob's qubits.
 __UpperCamelCase       						= rng.integers(2       ,      size=snake_case	)

 # Quantum Circuit to simulate BB84
 __UpperCamelCase       						= qiskit.QuantumCircuit(snake_case       ,      name='BB84'	)

 # Alice prepares her qubits according to rules above.
 for index, _ in enumerate(snake_case	):
  if alice_state[index] == 1:
   bbaa_circ.x(snake_case	)
  if alice_basis[index] == 1:
   bbaa_circ.h(snake_case	)
 bbaa_circ.barrier()

 # Bob measures the received qubits according to rules above.
 for index, _ in enumerate(snake_case	):
  if bob_basis[index] == 1:
   bbaa_circ.h(snake_case	)

 bbaa_circ.barrier()
 bbaa_circ.measure_all()

 # Simulate the quantum circuit.
 __UpperCamelCase       						= qiskit.Aer.get_backend('aer_simulator'	)
 # We only need to run one shot because the key is unique.
 # Multiple shots will produce the same key.
 __UpperCamelCase       						= qiskit.execute(snake_case       ,      snake_case       ,      shots=1       ,      seed_simulator=snake_case	)
 # Returns the result of measurement.
 __UpperCamelCase       						= job.result().get_counts(snake_case	).most_frequent()

 # Extracting the generated key from the simulation results.
 # Only keep measurement results where Alice and Bob chose the same basis.
 __UpperCamelCase       						= ''.join(
     [
         result_bit
         for alice_basis_bit, bob_basis_bit, result_bit in zip(
             snake_case       ,      snake_case       ,      snake_case	)
         if alice_basis_bit == bob_basis_bit
     ]	)

 # Get final key. Pad with 0 if too short, otherwise truncate.
 __UpperCamelCase       						= gen_key[:key_len] if len(snake_case	) >= key_len else gen_key.ljust(snake_case       ,      '0'	)
 return key


if __name__ == "__main__":
      print(f'''The generated key is : {bbaa(8, seed=0)}''')
      from doctest import testmod

      testmod()



