


import numpy as np
import qiskit


def 					lowerCamelCase__						(   a						: int = 8						,	a						: int | None = None					)     ->						str:





			"""simple docstring"""
			a__			:List[Any]    	=     np.random.default_rng(seed=a					)

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

			# Quantum Circuit to simulate BB84
			a__			:Dict    	=     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__			:Optional[Any]    	=     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__			:Dict    	=     qiskit.execute(a						,	a						,	shots=1						,	seed_simulator=a					)
			# Returns the result of measurement.
			a__			:Tuple    	=     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__			:Tuple    	=     "".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__			:str    	=     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()




"""simple docstring"""

import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


SCREAMING_SNAKE_CASE_            =    '''scheduler_config.json'''
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						1
      __SCREAMING_SNAKE_CASE :				Dict				   =						2
      __SCREAMING_SNAKE_CASE :				List[Any]				   =						3
      __SCREAMING_SNAKE_CASE :				Any				   =						4
      __SCREAMING_SNAKE_CASE :				Any				   =						5
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						6
      __SCREAMING_SNAKE_CASE :				str				   =						7
      __SCREAMING_SNAKE_CASE :				Any				   =						8
      __SCREAMING_SNAKE_CASE :				Tuple				   =						9
      __SCREAMING_SNAKE_CASE :				int				   =						1_0
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						1_1
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						1_2
      __SCREAMING_SNAKE_CASE :				Dict				   =						1_3
      __SCREAMING_SNAKE_CASE :				Optional[Any]				   =						1_4

@dataclass
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				torch.FloatTensor

class   _UpperCAmelCase				:
      __SCREAMING_SNAKE_CASE :				str				   =						SCHEDULER_CONFIG_NAME
      __SCREAMING_SNAKE_CASE :				Dict				   =						[]
      __SCREAMING_SNAKE_CASE :				Union[str, Any]				   =						True




      @classmethod
      def      a_   (				cls ,							lowercase_ = None ,							lowercase_ = None ,							lowercase_=False ,							**lowercase_ ,							)    ->       List[Any]:
          UpperCAmelCase      ,				UpperCAmelCase      ,				UpperCAmelCase          =       cls.load_config(
              pretrained_model_name_or_path=lowercase_ ,							subfolder=lowercase_ ,							return_unused_kwargs=lowercase_ ,							return_commit_hash=lowercase_ ,							**lowercase_ ,							)
          return cls.from_config(lowercase_ ,							return_unused_kwargs=lowercase_ ,							**lowercase_				)




      def      a_   (				self ,							lowercase_ ,							lowercase_ = False ,							**lowercase_				)    ->       str:
          self.save_config(save_directory=lowercase_ ,							push_to_hub=lowercase_ ,							**lowercase_				)




      @property
      def      a_   (				self				)    ->       Union[str, Any]:
          return self._get_compatibles()




      @classmethod
      def      a_   (				cls				)    ->       Any:
          UpperCAmelCase          =       list(set([cls.__name__] + cls._compatibles				)				)
          UpperCAmelCase          =       importlib.import_module(__name__.split('.'				)[0]				)
          UpperCAmelCase          =       [
              getattr(lowercase_ ,							lowercase_				) for c in compatible_classes_str if hasattr(lowercase_ ,							lowercase_				)
          ]
          return compatible_classes



