'''simple docstring'''




import os

from apache_beam.io.filesystems import FileSystems
from apache_beam.pipeline import Pipeline

from .logging import get_logger


snake_case  =			2 << 20  # 2mb
snake_case  =			get_logger(__name__)





class        SCREAMING_SNAKE_CASE   (				__a ):
  """simple docstring"""







  def   a   (  self   :					Tuple					):


        """simple docstring"""



        _lowerCAmelCase		   =   self._options.get_all_options().get('runner'					)
        return runner in [None, "DirectRunner", "PortableRunner"]







def 			A_   ( _lowerCamelCase			:							int  ,  _lowerCamelCase			:							Union[str, Any]  ,  _lowerCamelCase			:							Union[str, Any]=False    ):
      _lowerCAmelCase		   =   FileSystems
      if fs.exists(_lowerCamelCase    ):
            if force_upload:
                  logger.info(F"Remote path already exist: {remote_file_path}. Overwriting it as force_upload=True."    )
            else:
                  logger.info(F"Remote path already exist: {remote_file_path}. Skipping it as force_upload=False."    )
                  return
      with fs.create(_lowerCamelCase    ) as remote_file:
            with open(_lowerCamelCase  ,  'rb'    ) as local_file:
                  _lowerCAmelCase		   =   local_file.read(_lowerCamelCase    )
                  while chunk:
                        remote_file.write(_lowerCamelCase    )
                        _lowerCAmelCase		   =   local_file.read(_lowerCamelCase    )







def 			A_   ( _lowerCamelCase			:							Any  ,  _lowerCamelCase			:							Dict  ,  _lowerCamelCase			:							Dict=False    ):
      _lowerCAmelCase		   =   FileSystems
      if os.path.exists(_lowerCamelCase    ):
            if force_download:
                  logger.info(F"Local path already exist: {remote_file_path}. Overwriting it as force_upload=True."    )
            else:
                  logger.info(F"Local path already exist: {remote_file_path}. Skipping it as force_upload=False."    )
                  return
      with fs.open(_lowerCamelCase    ) as remote_file:
            with open(_lowerCamelCase  ,  'wb'    ) as local_file:
                  _lowerCAmelCase		   =   remote_file.read(_lowerCamelCase    )
                  while chunk:
                        local_file.write(_lowerCamelCase    )
                        _lowerCAmelCase		   =   remote_file.read(_lowerCamelCase    )






'''simple docstring'''




import numpy as np
import qiskit
from qiskit import Aer, ClassicalRegister, QuantumCircuit, QuantumRegister, execute







def 			A_   ( _lowerCamelCase			:							float = np.pi / 2  ,  _lowerCamelCase			:							float = np.pi / 2  ,  _lowerCamelCase			:							float = np.pi / 2    ):
      _lowerCAmelCase		   =   QuantumRegister(3  ,  'qr'    )  # Define the number of quantum bits
      _lowerCAmelCase		   =   ClassicalRegister(1  ,  'cr'    )  # Define the number of classical bits

      _lowerCAmelCase		   =   QuantumCircuit(_lowerCamelCase  ,  _lowerCamelCase    )  # Define the quantum circuit.

      # Build the circuit
      quantum_circuit.u(_lowerCamelCase  ,  _lowerCamelCase  ,  _lowerCamelCase  ,  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
      _lowerCAmelCase		   =   Aer.get_backend('aer_simulator'    )
      _lowerCAmelCase		   =   execute(_lowerCamelCase  ,  _lowerCamelCase  ,  shots=1_000    )

      return job.result().get_counts(_lowerCamelCase    )


if __name__ == "__main__":
 print(
     '''Total count for teleported state is: '''
     f'''{quantum_teleportation(np.pi/2, np.pi/2, np.pi/2)}'''
 )





