




import numpy as np
import qiskit




def     __magic_name__       (				A	:      int = 8,						A	:      int | None = None     ):






			'''simple docstring'''







			a					=    np.random.default_rng(seed=A     )

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

			# Quantum Circuit to simulate BB84
			a					=    qiskit.QuantumCircuit(A,						name="BB84"     )

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

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

			bbaa_circ.barrier()
			bbaa_circ.measure_all()

			# Simulate the quantum circuit.
			a					=    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.
			a					=    qiskit.execute(A,						A,						shots=1,						seed_simulator=A     )
			# Returns the result of measurement.
			a					=    job.result().get_counts(A     ).most_frequent()

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

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


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

		testmod()












def     __magic_name__       (				A	:      str,						A	:      str     ):






			'''simple docstring'''







			def get_matched_characters(A	:      str,						A	:      str     ) -> str:
						a					=    []
						a					=    min(len(_stra     ),						len(_stra     )     ) // 2
						for i, l in enumerate(_stra     ):
									a					=    int(max(0,						i - limit     )     )
									a					=    int(min(i + limit + 1,						len(_stra     )     )     )
									if l in _stra[left:right]:
												matched.append(A     )
												a					=    F"""{_stra[0:_stra.index(A     )]} {_stra[_stra.index(A     ) + 1:]}"""

						return "".join(A     )

			# matching characters
			a					=    get_matched_characters(A,						A     )
			a					=    get_matched_characters(A,						A     )
			a					=    len(A     )

			# transposition
			a					=    (
			    len([(ca, ca) for ca, ca in zip(A,						A     ) if ca != ca]     ) // 2
			)

			if not match_count:
						a					=    0.0
			else:
						a					=    (
						    1
						    / 3
						    * (
						        match_count / len(A     )
						        + match_count / len(A     )
						        + (match_count - transpositions) / match_count
						    )
						)

			# common prefix up to 4 characters
			a					=    0
			for ca, ca in zip(stra[:4],						stra[:4]     ):
						if ca == ca:
									prefix_len += 1
						else:
									break

			return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		print(jaro_winkler('hello', 'world'))






