code: def _smallest_integer_by_dtype(dt):
      """Helper returning the smallest integer exactly representable by dtype."""
      if not _is_known_dtype(dt):
          raise TypeError(
              "Unrecognized dtype: {}".format(dtype_util.name(dt))
          )
      if _is_known_unsigned_by_dtype(dt):
          return 0
      return -1 * _largest_integer_by_dtype(dt)
  
imports: import functools
  import hashlib
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import reparameterization
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 25 for calling a global function with example usage: _smallest_integer_by_dtype(dt) and returns: unknown, int