





'''simple docstring'''






import numpy as np
import qiskit







def 					_a						(       _lowerCamelCase = 8    ,	_lowerCamelCase = None ) ->				str:



			"""simple docstring"""


			__snake_case					:      Any							      =     np.random.default_rng(seed=_lowerCamelCase )

			# Roughly 25% of the qubits will contribute to the key.
			# So we take more than we need.
			__snake_case					:      Optional[int]							      =     6 * key_len
			# Measurement basis for Alice's qubits.
			__snake_case					:      str							      =     rng.integers(2    ,	size=_lowerCamelCase )
			# The set of states Alice will prepare.
			__snake_case					:      Any							      =     rng.integers(2    ,	size=_lowerCamelCase )
			# Measurement basis for Bob's qubits.
			__snake_case					:      Any							      =     rng.integers(2    ,	size=_lowerCamelCase )

			# Quantum Circuit to simulate BB84
			__snake_case					:      Dict							      =     qiskit.QuantumCircuit(_lowerCamelCase    ,	name="""BB84""" )

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

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

			bbaa_circ.barrier()
			bbaa_circ.measure_all()

			# Simulate the quantum circuit.
			__snake_case					:      int							      =     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.
			__snake_case					:      Any							      =     qiskit.execute(_lowerCamelCase    ,	_lowerCamelCase    ,	shots=1    ,	seed_simulator=_lowerCamelCase )
			# Returns the result of measurement.
			__snake_case					:      str							      =     job.result().get_counts(_lowerCamelCase ).most_frequent()

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

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


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

	testmod()








from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType




@dataclass
class 		__A   :
						UpperCamelCase      =       42
						UpperCamelCase      =       None
						# Automatically constructed
						UpperCamelCase      =       "dict"
						UpperCamelCase      =       None
						UpperCamelCase      =       field(default="""Translation"""       ,    init=UpperCamelCase__       ,    repr=UpperCamelCase__      )

						def __call__(		self :Union[str, Any]			):
										'''simple docstring'''

										return pa.struct({lang: pa.string() for lang in sorted(self.languages			)}			)


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Value

										return {k: Value("""string"""			) for k in sorted(self.languages			)}




@dataclass
class 		__A   :
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						UpperCamelCase      =       None
						# Automatically constructed
						UpperCamelCase      =       "dict"
						UpperCamelCase      =       None
						UpperCamelCase      =       field(default="""TranslationVariableLanguages"""       ,    init=UpperCamelCase__       ,    repr=UpperCamelCase__      )

						def      A__    (		self :Optional[Any]			):
										'''simple docstring'''

										__magic_name__						:						List[Any]										=sorted(set(self.languages			)			) if self.languages else None
										__magic_name__						:						Optional[int]										=len(self.languages			) if self.languages else None

						def __call__(		self :List[str]			):
										'''simple docstring'''

										return pa.struct({"""language""": pa.list_(pa.string()			), """translation""": pa.list_(pa.string()			)}			)

						def      A__    (		self :str     ,			__snake_case :str			):
										'''simple docstring'''

										__magic_name__						:						Optional[int]										=set(self.languages			)
										if self.languages and set(__snake_case			) - lang_set:
														raise ValueError(
														    f"Some languages in example ({', '.join(sorted(set(__snake_case			) - lang_set			)			)}) are not in valid set ({', '.join(__snake_case			)})."			)

										# Convert dictionary into tuples, splitting out cases where there are
										# multiple translations for a single language.
										__magic_name__						:						Any										=[]
										for lang, text in translation_dict.items():
														if isinstance(__snake_case     ,			__snake_case			):
																		translation_tuples.append((lang, text)			)
														else:
																		translation_tuples.extend([(lang, el) for el in text]			)

        # Ensure translations are in ascending order by language code.
										__magic_name__					,			__magic_name__						:						List[str]										=zip(*sorted(__snake_case			)			)

										return {"language": languages, "translation": translations}


						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										from .features import Sequence, Value

										return {
										    "language": Sequence(Value("""string"""			)			),
										    "translation": Sequence(Value("""string"""			)			),
										}




