code: def _validate_experiment_name(experiment_name):
      """Check that `experiment_name` is a valid string and raise an exception if it isn't."""
      if experiment_name == "" or experiment_name is None:
          raise MlflowException(
              f"Invalid experiment name: '{experiment_name}'",
              error_code=INVALID_PARAMETER_VALUE,
          )
  
      if not is_string_type(experiment_name):
          raise MlflowException(
              f"Invalid experiment name: {experiment_name}. Expects a string.",
              error_code=INVALID_PARAMETER_VALUE,
          )
  
imports: import numbers
  import posixpath
  import re
  from typing import List
  from mlflow.entities import Dataset, DatasetInput, InputTag
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.store.db.db_types import DATABASE_ENGINES
  from mlflow.utils.string_utils import is_string_type
label_desc: Use image node_id 21 for calling a global function with example usage: _validate_experiment_name(experiment_name) without return types