class_docstr: Mixin for aliased terms.
code: def _compute(self, inputs, dates, assets, mask):
      return inputs[0]
  
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 4 for calling the AliasedMixin obj's underlying member method code with example usage: obj._compute(inputs, dates, assets, mask) and returns: inputs