code: def _validate_all_values_string(d):
      values = list(d.values())
      if not _is_all_string(values):
          raise MlflowException(
              f"Expected example to be dict with string values, got {values}",
              INVALID_PARAMETER_VALUE,
          )
  
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 18 for calling a global function with example usage: _validate_all_values_string(d) without return types