code: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  import os
  import sys
  
  from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow
  
  from .utils import load_json
  class 							lowerCamelCase		( _UpperCAmelCase				):
  
  
  
  
  
  
  
     @classmethod
     def       a_							(							cls ):
         return cls
  
  
  
  
  
  
  
     @slow
     @require_torch_gpu
     def       a_							(							self ):
         UpperCamelCase				:   List[str]          =							self.get_auto_remove_tmp_dir()
         UpperCamelCase				:   int          =							f'\n            --model_name Helsinki-NLP/opus-mt-en-ro\n            --save_dir {output_dir}\n            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro\n            --num_beams 2\n            --task translation\n        '.split()
  
         # we want this test to run even if there is only one GPU, but if there are more we use them all
         UpperCamelCase				:   Tuple          =							get_gpu_count()
         UpperCamelCase				:   str          =							f'\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        '.split()
         UpperCamelCase				:   Dict          =							[sys.executable] + distributed_args + args
         execute_subprocess_async(SCREAMING_SNAKE_CASE_    ,      env=self.get_env() )
  
         UpperCamelCase				:   Optional[Any]          =							os.path.join(SCREAMING_SNAKE_CASE_    ,      """test_bleu.json""" )
         UpperCamelCase				:   List[Any]          =							load_json(SCREAMING_SNAKE_CASE_ )
         # print(metrics)
         self.assertGreaterEqual(metrics["""bleu"""]    ,      25 )
  
  
  
  
  
style_context: 
  
  
  
  
  """simple docstring"""
  
  
  
  
  import numpy as np
  import qiskit
  from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute
  def 					A_			(		snake_case_     :       float = np.pi / 2						,snake_case_     :       float = np.pi / 2						,snake_case_     :       float = np.pi / 2    ):
  
  
  
  
  
  
  
      '''simple docstring'''
      UpperCamelCase				:   Union[str, Any]          =							QuantumRegister(3						,"""qr"""    )  # Define the number of quantum bits
      UpperCamelCase				:   Any          =							ClassicalRegister(1						,"""cr"""    )  # Define the number of classical bits
  
      UpperCamelCase				:   Any          =							QuantumCircuit(snake_case_						,snake_case_    )  # Define the quantum circuit.
  
      # Build the circuit
      quantum_circuit.u(snake_case_						,snake_case_						,snake_case_						,0    )  # Quantum State to teleport
      quantum_circuit.h(1    )  # add hadamard gate
      quantum_circuit.cx(
          1						,2    )  # add control gate with qubit 1 as control and 2 as target.
      quantum_circuit.cx(0						,1    )
      quantum_circuit.h(0    )
      quantum_circuit.cz(0						,2    )  # add control z gate.
      quantum_circuit.cx(1						,2    )
  
      quantum_circuit.measure([2]						,[0]    )  # measure the qubit.
  
      # Simulate the circuit using qasm simulator
      UpperCamelCase				:   Tuple          =							Aer.get_backend("""aer_simulator"""    )
      UpperCamelCase				:   Any          =							execute(snake_case_						,snake_case_						,shots=1_0_0_0    )
  
      return job.result().get_counts(snake_case_    )
  
  
  if __name__ == "__main__":
    print(
        '''Total count for teleported state is: '''
        F'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
    )
  
  
  
  
  