code: def _strict_equals(a, b):
      try:
          return bool(a == b)
      except ValueError:
          # `a == b` is an array, Tensor, or similar.
          return id(a) == id(b)
  
imports: import collections
  import types
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import joint_distribution_auto_batched
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.internal import distribution_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.sts.internal import util
  from tensorflow.python.util import deprecation
label_desc: Use image node_id 1 for calling a global function with example usage: _strict_equals(a, b) and returns: bool, unknown