code: def lazy_and(self, a_value, b):
      # We proceed similarly to `if` statement, but we don't have to trace branches and go back.
      # Instead we have one branch already evaluated and conditionally execute the other one.
      # effectively we want `and_output = a_val and b` to be calculated as:
      # if a_val:
      #   and_output = b()
      # else:
      #   and_output = a_val
      a_validated = fn._conditional.validate_logical(
          a_value, expression_name="and", expression_side="left"
      )
      with _cond_manager(a_validated) as split_predicate:
          with _cond_true():
              b_value = b()
              b_validated = fn._conditional.validate_logical(
                  b_value,
                  expression_name="and",
                  expression_side="right",
              )
              body_outputs = apply_conditional_split(b_validated)
          with _cond_false():
              else_outputs = apply_conditional_split(split_predicate)
          with _cond_merge(split_predicate):
              merged = fn._conditional.merge(
                  body_outputs, else_outputs, predicate=split_predicate
              )
  
      this_condition_stack().register_data_nodes([merged], False)
      return merged
  
imports: from nvidia.dali import _autograph
  from nvidia.dali.data_node import DataNode
  from nvidia.dali import fn
  from nvidia.dali._autograph.utils import ag_logging
  from nvidia.dali._autograph.operators import variables
  from contextlib import contextmanager
  from enum import Enum
  import tree
label_desc: Use image node_id 8 for calling the DaliOperatorOverload obj's underlying member method code with example usage: obj.lazy_and(a_value, b) and returns: merged