code: def _naive_symmetric_increment(m, idx, increment):
      m = m.copy()
      m[..., idx, :] += increment
      m[..., :, idx] += increment
      m[..., idx, idx] -= increment[..., idx]
      return m
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import inverse_gamma
  from tensorflow_probability.python.distributions import normal_conjugate_posteriors
  from tensorflow_probability.python.experimental.sts_gibbs import spike_and_slab
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc.internal import util
label_desc: Use image node_id 1 for calling a global function with example usage: _naive_symmetric_increment(m, idx, increment) and returns: m