code: def test_interactions_target():
      n_rows = 10
      n_columns = 50
      n_targets = 2
  
      df = pd.DataFrame(
          np.random.randint(0, 1000, size=(n_rows, n_columns)),
          columns=[f"column_{c}" for c in range(n_columns)],
      )
      targets = [f"column_{target}" for target in range(0, n_targets)]
  
      profile = ProfileReport(
          df,
          minimal=True,
          interactions={"continuous": True, "targets": targets},
      )
  
      total = sum(
          len(v.keys())
          for k, v in profile.get_description().scatter.items()
      )
      assert total == n_targets * n_columns
  
imports: import numpy
  import pandas
  from ydata_profiling import ProfileReport
label_desc: Use image node_id 1 for calling a global function with example usage: test_interactions_target() without return types