code: def _numpy_exp_quad(amplitude, length_scale, x, y, feature_ndims):
      dims = tuple(range(-feature_ndims, 0, 1))
      return amplitude**2 * np.exp(
          -0.5 * np.sum((x - y) ** 2, axis=dims) / length_scale**2
      )
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/kumaraswamy_transformed_test.py
imports: from absl.testing import parameterized
  import numpy
  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 kumaraswamy_transformed
label_desc: Use image node_id 2 for calling a global function with example usage: _numpy_exp_quad(amplitude, length_scale, x, y, feature_ndims) and returns: unknown