class_docstr: A class representing unknown measurement outcomes in the qubit model.
  
  Measurements on a single qubit in the computational basis are assumed.
  
  Args:
      measurements (list[.MidMeasureMP]): The measurement(s) that this object depends on.
      processing_fn (callable): A lazily transformation applied to the measurement values.
class_docstr_tok: ["A","class","representing","unknown","measurement","outcomes","in","the","qubit","model",".","Measurements","on","a","single","qubit","in","the","computational","basis","are","assumed",".","Args",":","measurements","(","list","[",".MidMeasureMP","]",")",":","The","measurement","(","s",")","that","this","object","depends","on",".","processing_fn","(","callable",")",":","A","lazily","transformation","applied","to","the","measurement","values","."]
code: def __add__(self, other):
      return self._transform_bin_op(lambda a, b: a + b, other)
  
imports: import uuid
  from typing import Generic, TypeVar, Optional
  import numpy
  import pennylane
  from pennylane.wires import Wires
  from .measurements import MeasurementProcess, MidMeasure
label_desc: Use image node_id 10 for calling the MeasurementValue obj's underlying member method code with example usage: obj.__add__(other) and returns: self