code: def testEqualsExponentiatedQuadratic(self):
      np.random.seed(42)
      ge = gamma_exponential.GammaExponential(
          amplitude=3.0, length_scale=0.5, power=1.0, feature_ndims=0
      )
      eq = exponentiated_quadratic.ExponentiatedQuadratic(
          amplitude=3.0, length_scale=0.5, feature_ndims=0
      )
      t1, t2 = np.random.rand(2, 10)
      self.assertAllClose(ge.apply(t1, t2), eq.apply(t1, t2))
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/gamma_exponential_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import exponentiated_quadratic
  from tensorflow_probability.python.math.psd_kernels import gamma_exponential
label_desc: Use image node_id 4 for calling the GammaExponentialTest obj's underlying member method code with example usage: obj.testEqualsExponentiatedQuadratic() without return types