

import numpy as np
import qiskit
def 	a (     A__      :  int = 8 ,  A__      :  int | None = None	)       -> str:





      """simple docstring"""



      _lowercase      			=np.random.default_rng(seed=A__	)

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

      # Quantum Circuit to simulate BB84
      _lowercase      			=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.
      _lowercase      			=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.
      _lowercase      			=qiskit.execute(A__ ,  A__ ,  shots=1 ,  seed_simulator=A__	)
      # Returns the result of measurement.
      _lowercase      			=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.
      _lowercase      			=''.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.
      _lowercase      			=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()





import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


lowercase_   							=  '\nHugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.\n\nIn March 2021, Hugging Face raised $40 million in a Series B funding round.[3]\n\nOn April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]\n'





class 					__lowerCAmelCase	(   unittest.TestCase     ,     SCREAMING_SNAKE_CASE				):




  def     A__	(							self   )    ->					Union[str, Any]:
        '''simple docstring'''






        _lowercase      			=load_tool('text-question-answering'   )
        self.tool.setup()
        _lowercase      			=load_tool('text-question-answering'				,  remote=lowerCAmelCase   )




  def     A__	(							self   )    ->					Dict:
        '''simple docstring'''






        _lowercase      			=self.tool(lowerCAmelCase				,  'What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




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






        _lowercase      			=self.remote_tool(lowerCAmelCase				,  'What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




  def     A__	(							self   )    ->					Any:
        '''simple docstring'''






        _lowercase      			=self.tool(text=lowerCAmelCase				,  question='What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )




  def     A__	(							self   )    ->					Optional[int]:
        '''simple docstring'''






        _lowercase      			=self.remote_tool(text=lowerCAmelCase				,  question='What did Hugging Face do in April 2021?'   )
        self.assertEqual(lowerCAmelCase				,  'launched the BigScience Research Workshop'   )


