code: def test_graph_refutation2(self, num_variables, num_samples):
      data = dowhy.datasets.dataset_from_random_graph(
          num_vars=num_variables, num_samples=num_samples
      )
      df = data["df"]
      gml_str = """
          graph [
          directed 1
          node [
              id 0
              label "a"
          ]
          node [
              id 1
              label "b"
          ]
          node [
              id 2
              label "c"
          ]
          node [
              id 3
              label "d"
          ]
          node [
              id 4
              label "e"
          ]
          node [
              id 5
              label "f"
          ]
          node [
              id 6
              label "g"
          ]
          node [
              id 7
              label "h"
          ]
          node [
              id 8
              label "i"
          ]
          node [
              id 9
              label "j"
          ]
          edge [
              source 0
              target 1
          ]
          edge [
              source 0
              target 3
          ]
          edge [
              source 3
              target 2
          ]
          edge [
              source 7
              target 4
          ]
          edge [
              source 6
              target 5
          ]
          edge [
              source 7
              target 8
          ]
          edge [
              source 9
              target 2
          ]
          edge [
              source 9
              target 8
          ]
          ]
          """
      model = CausalModel(
          data=df,
          treatment=data["treatment_name"],
          outcome=data["outcome_name"],
          graph=gml_str,
      )
      graph_refutation_object = model.refute_graph(
          k=2,
          independence_test={
              "test_for_continuous": "partial_correlation",
              "test_for_discrete": "conditional_mutual_information",
          },
      )
      assert graph_refutation_object.refutation_result == False
  
imports: import networkx
  import pandas
  import pytest
  from flaky import flaky
  from pytest import mark
  from sklearn import linear_model
  import dowhy
  import dowhy.datasets
  from dowhy import CausalModel
  from dowhy.causal_graph import CausalGraph
  from dowhy.gcm import ProbabilisticCausalModel, StructuralCausalModel
  from dowhy.utils.graph_operations import daggity_to_dot
label_desc: Use image node_id 9 for calling the TestCausalModel obj's underlying member method code with example usage: obj.test_graph_refutation2(num_variables, num_samples) without return types