code: def _exp_sin_squared_kernel(
      self, amplitude, length_scale, period, x, y
  ):
      norm = np.abs(x - y)
      log_kernel = np.sum(-2.0 * np.sin(np.pi / period * norm) ** 2)
      log_kernel /= length_scale**2
      return amplitude**2 * np.exp(log_kernel)
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/exp_sin_squared_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 exp_sin_squared
label_desc: Use image node_id 2 for calling the ExpSinSquaredTest obj's underlying member method code with example usage: obj._exp_sin_squared_kernel(amplitude, length_scale, period, x, y) and returns: unknown