text: """
  Autoinspect utilities to automatically generate expectations by evaluating a dataset.
  """
  from __future__ import division
  
  import warnings
  from six import string_types
  
  from .util import create_multiple_expectations
  
  
  class AutoInspectError(Exception):
      """Exception raised for errors in autoinspection.
  
      Attributes:
          message -- explanation of the error
      """
  
      def __init__(self, message):
          self.message = message
  
  
  def columns_exist(inspect_dataset):
      """
      This function will take a dataset and add expectations that each column present exists.
  
      Args:
          inspect_dataset (great_expectations.dataset): The dataset to inspect and to which to add expectations.
      """
  
      # Attempt to get column names. For pandas, columns is just a list of strings
      if not hasattr(inspect_dataset, "columns"):
          warnings.warn("No columns list found in dataset; no autoinspection performed.")
          return
      elif isinstance(inspect_dataset.columns[0], string_types):
          columns = inspect_dataset.columns
      elif isinstance(inspect_dataset.columns[0], dict) and "name" in inspect_dataset.columns[0]:
          columns = [col['name'] for col in inspect_dataset.columns]
      else:
          raise AutoInspectError("Unable to determine column names for this dataset.")
  
      create_multiple_expectations(inspect_dataset, columns, "expect_column_to_exist")
  