class_docstr: Base class for terms in a Pipeline API compute graph.
class_docstr_tok: ["Base","class","for","terms","in","a","Pipeline","API","compute","graph","."]
docstr: Boolean indicating whether this term is a trailing-window computation.
docstr_tok: ["Boolean","indicating","whether","this","term","is","a","trailing-window","computation","."]
code: def windowed(self):
      """
      Boolean indicating whether this term is a trailing-window computation.
      """
      raise NotImplementedError("windowed")
  
imports: from abc import ABCMeta, abstractproperty
  from bisect import insort
  from collections import Mapping
  from weakref import WeakValueDictionary
  from numpy import array, dtype, ndarray, searchsorted
  from six import with_metaclass
  from catalyst.assets import Asset
  from catalyst.errors import DTypeNotSpecified, InvalidOutputName, NonExistentAssetInTimeFrame, NonSliceableTerm, NonWindowSafeInput, NotDType, TermInputsNotSpecified, TermOutputsEmpty, UnsupportedDType, WindowLengthNotSpecified
  from catalyst.lib.adjusted_array import can_represent_dtype
  from catalyst.lib.labelarray import LabelArray
  from catalyst.utils.input_validation import expect_types
  from catalyst.utils.memoize import lazyval
  from catalyst.utils.numpy_utils import bool_dtype, categorical_dtype, datetime64ns_dtype, default_missing_value_for_dtype
  from catalyst.utils.sharedoc import templated_docstring, PIPELINE_ALIAS_NAME_DOC, PIPELINE_DOWNSAMPLING_FREQUENCY_DOC
  from .downsample_helpers import expect_downsample_frequency
  from .sentinels import NotSpecified
label_desc: Use image node_id 10 for calling the Term obj's underlying member method code with example usage: obj.windowed() without return types