class_docstr: The actions taken for each content interpretation and column type.
  These are looked up as '<interpretation>__<type>'.  Adding a method
  to this class is sufficient to add a new transformation type.
class_docstr_tok: ["The","actions","taken","for","each","content","interpretation","and","column","type",".","These","are","looked","up","as","'","<","interpretation",">","__","<","type",">","'",".","Adding","a","method","to","this","class","is","sufficient","to","add","a","new","transformation","type","."]
code: def __get_copy_transform(self, column_name, output_column_prefix):
      if output_column_prefix:
          return [
              _ColumnFunctionTransformation(
                  features=[column_name],
                  transform_function=lambda x: x,
                  output_column_prefix=output_column_prefix,
                  transform_function_name="identity",
              )
          ]
      else:
          return []
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from .None import TransformerBase
  from .None import TransformerChain
  from .None import TransformToFlatDictionary
  from turicreate.toolkits._model import PythonProxy
  from turicreate.toolkits._model import ExposeAttributesFromProxy
  from turicreate.toolkits._internal_utils import _toolkit_repr_print
  from turicreate.toolkits._internal_utils import _precomputed_field
  from turicreate.toolkits._internal_utils import _raise_error_if_not_sframe
  from turicreate.util import _raise_error_if_not_of_type
  from turicreate.toolkits._internal_utils import _check_categorical_option_type
  from .None import _internal_utils
  from array import array
  import textwrap
  from turicreate import SFrame
  import turicreate
label_desc: Use image node_id 1 for calling the _interpretations_class obj's underlying member method code with example usage: obj.__get_copy_transform(column_name, output_column_prefix) and returns: list, list