code: def __init__(self, msg):
      super().__init__(
          f"Multidimensional arrays (aka tensors) are not supported. {msg}"
      )
  
imports: import logging
  import warnings
  from collections import defaultdict
  from typing import Any, Dict, List, Optional, Union
  import numpy
  import pandas
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.types import DataType
  from mlflow.types.schema import Array, ColSpec, Object, ParamSchema, ParamSpec, Property, Schema, TensorSpec
label_desc: Use image node_id 1 to create a new TensorsNotSupportedException object from inherited base classes: MlflowException with example: obj = TensorsNotSupportedException(msg)