code: def test_garch_many_lags(setup):
      garch = GARCH(p=1, o=2, q=3)
      assert_equal(garch.num_params, 7)
      assert_equal(garch.name, "GJR-GARCH")
  
      names = garch.parameter_names()
      names_target = [
          "omega",
          "alpha[1]",
          "gamma[1]",
          "gamma[2]",
          "beta[1]",
          "beta[2]",
          "beta[3]",
      ]
      assert_equal(names, names_target)
  
imports: import types
  from typing import NamedTuple
  import warnings
  import numpy
  from numpy.random import RandomState
  from numpy.testing import assert_allclose, assert_almost_equal, assert_array_equal, assert_equal
  import pytest
  from scipy.special import gamma, gammaln
  from arch.univariate import ZeroMean
  from arch.univariate.distribution import Normal, SkewStudent, StudentsT
  import arch.univariate.recursions_python
  from arch.univariate.volatility import APARCH, ARCH, EGARCH, FIGARCH, GARCH, HARCH, ConstantVariance, EWMAVariance, FixedVariance, MIDASHyperbolic, RiskMetrics2006
  from arch.utility.exceptions import InitialValueWarning
label_desc: Use image node_id 12 for calling a global function with example usage: test_garch_many_lags(setup) without return types