code: def transform(self):
      def inner(mod):
          config = {
              "tir.ReduceBranchingThroughOvercompute": {
                  "use_dataflow_analysis": self.use_dataflow_analysis,
              }
          }
          with tvm.transform.PassContext(config=config):
              mod = (
                  tvm.tir.transform.ReduceBranchingThroughOvercompute()(
                      mod
                  )
              )
          return mod
  
      return inner
  
imports: import tvm
  import tvm.testing
  from tvm.script import tir
  import pytest
label_desc: Use image node_id 1 for calling the BaseBeforeAfter obj's underlying member method code with example usage: obj.transform() and returns: inner, mod