class_docstr: A Term that should be computed from a tuple of inputs.
  
  This is the base class for :class:`zipline.pipeline.Factor`,
  :class:`zipline.pipeline.Filter`, and :class:`zipline.pipeline.Classifier`.
class_docstr_tok: ["A","Term","that","should","be","computed","from","a","tuple","of","inputs",".","This","is","the","base","class","for",":","class",":","`","zipline.pipeline.Factor","`",",",":","class",":","`","zipline.pipeline.Filter","`",",","and",":","class",":","`","zipline.pipeline.Classifier","`","."]
docstr: Whether or not this term represents a trailing window computation.
  
  If term.windowed is truthy, its compute_from_windows method will be
  called with instances of AdjustedArray as inputs.
  
  If term.windowed is falsey, its compute_from_baseline will be called
  with instances of np.ndarray as inputs.
docstr_tok: ["Whether","or","not","this","term","represents","a","trailing","window","computation",".","If","term.windowed","is","truthy",",","its","compute_from_windows","method","will","be","called","with","instances","of","AdjustedArray","as","inputs",".","If","term.windowed","is","falsey",",","its","compute_from_baseline","will","be","called","with","instances","of","np.ndarray","as","inputs","."]
code: def windowed(self):
      """
      Whether or not this term represents a trailing window computation.
  
      If term.windowed is truthy, its compute_from_windows method will be
      called with instances of AdjustedArray as inputs.
  
      If term.windowed is falsey, its compute_from_baseline will be called
      with instances of np.ndarray as inputs.
      """
      return (
          self.window_length is not NotSpecified
          and self.window_length > 0
      )
  
imports: from abc import ABCMeta, abstractproperty, abstractmethod
  from bisect import insort
  from collections import Mapping
  from weakref import WeakValueDictionary
  from numpy import array, dtype, ndarray
  from six import with_metaclass
  from zipline.assets import Asset
  from zipline.errors import DTypeNotSpecified, InvalidOutputName, NonSliceableTerm, NonWindowSafeInput, NotDType, NonPipelineInputs, TermInputsNotSpecified, TermOutputsEmpty, UnsupportedDType, WindowLengthNotSpecified
  from zipline.lib.adjusted_array import can_represent_dtype
  from zipline.lib.labelarray import LabelArray
  from zipline.utils.input_validation import expect_types
  from zipline.utils.memoize import classlazyval, lazyval
  from zipline.utils.numpy_utils import bool_dtype, categorical_dtype, datetime64ns_dtype, default_missing_value_for_dtype, float64_dtype
  from zipline.utils.sharedoc import templated_docstring, PIPELINE_ALIAS_NAME_DOC, PIPELINE_DOWNSAMPLING_FREQUENCY_DOC
  from .domain import Domain, GENERIC, infer_domain
  from .downsample_helpers import expect_downsample_frequency
  from .sentinels import NotSpecified
label_desc: Use image node_id 7 for calling the ComputableTerm obj's underlying member method code with example usage: obj.windowed() and returns: unknown