code: def refute(dummy_data):
      model = CausalModel(
          data=dummy_data,
          treatment="T",
          outcome="Y",
          common_causes=["X1", "X2"],
      )
      identified_estimand = model.identify_effect(
          proceed_when_unidentifiable=True
      )
      estimate = model.estimate_effect(
          identified_estimand, method_name="backdoor.linear_regression"
      )
      support_config = SupportConfig(seed=0)
  
      return model.refute_estimate(
          identified_estimand,
          estimate,
          method_name="assess_overlap",
          support_config=support_config,
      )
  
file_path: dowhy/tests/causal_refuters/test_assess_overlap.py
imports: import numpy
  import pandas
  import pytest
  from dowhy import CausalModel
  from dowhy.causal_refuters.assess_overlap_overrule import SupportConfig
label_desc: Use image node_id 2 for calling a global function with example usage: refute(dummy_data) and returns: model