code: def is_underspecified(self):
      if self.type is None or isinstance(self.type, tuple):
          return True
      elif (
          self.shape is None
          or (len(self.shape) > 0 and self.shape[0] is None)
          or any(x <= 0 for x in self.shape if x is not None)
      ):
          return True
      elif (
          self.type == "int"
          and self.num_values is not None
          and self.num_values <= 0
      ):
          return True
      else:
          return False
  
imports: from functools import total_ordering
  import numpy
  import tensorflow
  from tensorforce import TensorforceError, util
  from tensorforce.core.utils import tf_util
label_desc: Use image node_id 8 for calling the TensorSpec obj's underlying member method code with example usage: obj.is_underspecified() and returns: True, True, True, False