class_docstr: Validation mixin enforcing that a Term cannot produce non-standard outputs.
code: def _validate(self):
      super(StandardOutputs, self)._validate()
      if self.outputs is not NotSpecified:
          raise ValueError(
              "{typename} does not support custom outputs,"
              " but received custom outputs={outputs}.".format(
                  typename=type(self).__name__,
                  outputs=self.outputs,
              )
          )
  
imports: from textwrap import dedent
  from numpy import array, full, recarray, vstack
  from pandas import NaT
  from catalyst.errors import WindowLengthNotPositive, UnsupportedDataType, NoFurtherDataError
  from catalyst.utils.control_flow import nullctx
  from catalyst.utils.input_validation import expect_types
  from catalyst.utils.sharedoc import format_docstring, PIPELINE_ALIAS_NAME_DOC, PIPELINE_DOWNSAMPLING_FREQUENCY_DOC
  from catalyst.utils.pandas_utils import nearest_unequal_elements
  from .downsample_helpers import select_sampling_indices, expect_downsample_frequency
  from .sentinels import NotSpecified
  from .term import Term
label_desc: Use image node_id 1 for calling the StandardOutputs obj's underlying member method code with example usage: obj._validate() without return types