code: def test_CircularSymplecticEnsemble():
      CS = CSE("U", 3)
      j, k = (
          Dummy("j", integer=True, positive=True),
          Dummy("k", integer=True, positive=True),
      )
      t = IndexedBase("t")
      assert joint_eigen_distribution(CS).dummy_eq(
          Lambda(
              (t[1], t[2], t[3]),
              Product(
                  Abs(exp(I * t[j]) - exp(I * t[k])) ** 4,
                  (j, k + 1, 3),
                  (k, 1, 2),
              )
              / (720 * pi**3),
          )
      )
  
imports: from sympy.concrete.products import Product
  from sympy.core.function import Lambda
  from sympy.core.numbers import I, Rational, pi
  from sympy.core.singleton import S
  from sympy.core.symbol import Dummy
  from sympy.functions.elementary.complexes import Abs
  from sympy.functions.elementary.exponential import exp
  from sympy.functions.elementary.miscellaneous import sqrt
  from sympy.integrals.integrals import Integral
  from sympy.matrices.dense import Matrix
  from sympy.matrices.expressions.matexpr import MatrixSymbol
  from sympy.matrices.expressions.trace import Trace
  from sympy.tensor.indexed import IndexedBase
  from sympy.stats import GaussianUnitaryEnsemble, density, GaussianOrthogonalEnsemble, GaussianSymplecticEnsemble, joint_eigen_distribution, CircularUnitaryEnsemble, CircularOrthogonalEnsemble, CircularSymplecticEnsemble, JointEigenDistribution, level_spacing_distribution, Normal, Beta
  from sympy.stats.joint_rv_types import JointDistributionHandmade
  from sympy.stats.rv import RandomMatrixSymbol
  from sympy.stats.random_matrix_models import GaussianEnsemble, RandomMatrixPSpace
  from sympy.testing.pytest import raises
label_desc: Use image node_id 7 for calling a global function with example usage: test_CircularSymplecticEnsemble() without return types