code: def _update_variables_shim_with_recalculation_table(self):
          
          if not hasattr(self._executable, "recalculation_table"):
              # No recalculation table, no work to be done here.
              return
          for memory_reference, expression in self._executable.recalculation_table.items():
              # Replace the user-declared memory references with any values the user has written,
              # coerced to a float because that is how we declared it.
              self._variables_shim[memory_reference] = float(self._resolve_memory_references(expression))
docs: Update self._variables_shim with the final values to be patched into the gate parameters,
          according to the arithmetic expressions in the original program.
  
          For example:
  
              DECLARE theta REAL
              DECLARE beta REAL
              RZ(3 * theta) 0
              RZ(beta+theta) 0
  
          gets translated to:
  
              DECLARE theta REAL
              DECLARE __P REAL[2]
              RZ(__P[0]) 0
              RZ(__P[1]) 0
  
          and the recalculation table will contain:
  
          {
              ParameterAref('__P', 0): Mul(3.0, <MemoryReference theta[0]>),
              ParameterAref('__P', 1): Add(<MemoryReference beta[0]>, <MemoryReference theta[0]>)
          }
  
          Let's say we've made the following two function calls:
  
              qpu.write_memory(region_name='theta', value=0.5)
              qpu.write_memory(region_name='beta', value=0.1)
  
          After executing this function, our self.variables_shim in the above example would contain
          the following:
  
          {
              ParameterAref('theta', 0): 0.5,
              ParameterAref('beta', 0): 0.1,
              ParameterAref('__P', 0): 1.5,       # (3.0) * theta[0]
              ParameterAref('__P', 1): 0.6        # beta[0] + theta[0]
          }
  
          Once the _variables_shim is filled, execution continues as with regular binary patching.