code: def test_average_treatment_effect(
      self,
      error_tolerance,
      Estimator,
      num_common_causes,
      num_instruments,
      num_effect_modifiers,
      num_treatments,
      treatment_is_binary,
      outcome_is_binary,
      identifier_method,
  ):
      estimator_tester = SimpleEstimator(
          error_tolerance,
          Estimator,
          identifier_method=identifier_method,
      )
      # Not using testsuite from .base/TestEstimtor, custom code below
      args_dict = {
          "num_common_causes": num_common_causes,
          "num_instruments": num_instruments,
          "num_effect_modifiers": num_effect_modifiers,
          "num_treatments": num_treatments,
          "treatment_is_binary": treatment_is_binary,
          "outcome_is_binary": outcome_is_binary,
      }
      keys, values = zip(*args_dict.items())
      configs = [dict(zip(keys, v)) for v in itertools.product(*values)]
      for cfg in configs:
          print("\nConfig:", cfg)
          cfg["method_params"] = {}
          if cfg["num_instruments"] >= cfg["num_treatments"]:
              estimator_tester.average_treatment_effect_test(**cfg)
          else:
              with pytest.raises(ValueError):
                  estimator_tester.average_treatment_effect_test(**cfg)
  
      # More cases where Exception  is expected
      cfg = configs[0]
      cfg["num_instruments"] = 0
      with pytest.raises(ValueError):
          estimator_tester.average_treatment_effect_test(**cfg)
  
file_path: dowhy/tests/causal_estimators/test_instrumental_variable_estimator.py
imports: import itertools
  import pytest
  from pytest import mark
  from dowhy.causal_estimators.instrumental_variable_estimator import InstrumentalVariableEstimator
  from .base import SimpleEstimator
label_desc: Use image node_id 1 for calling the TestInstrumentalVariableEstimator obj's underlying member method code with example usage: obj.test_average_treatment_effect(error_tolerance, Estimator, num_common_causes, num_instruments, num_effect_modifiers, num_treatments, treatment_is_binary, outcome_is_binary, identifier_method) without return types