code: def json(self):
      if self.type == "bool":
          return dict(type=self.type, shape=self.shape)
  
      elif self.type == "int" and self.num_values is not None:
          return dict(
              type=self.type,
              shape=self.shape,
              num_values=self.num_values,
          )
  
      else:
          spec = dict(type=self.type, shape=self.shape)
          if self.min_value is not None:
              if isinstance(self.min_value, np.ndarray):
                  spec["min_value"] = self.min_value.tolist()
              else:
                  spec["min_value"] = self.min_value
          if self.max_value is not None:
              if isinstance(self.max_value, np.ndarray):
                  spec["max_value"] = self.max_value.tolist()
              else:
                  spec["max_value"] = self.max_value
          return spec
  
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 9 for calling the TensorSpec obj's underlying member method code with example usage: obj.json() and returns: dict, dict, spec