Remove outputs check; by definition, attribute is in outputs

zipline/errors.py

@@ -433,16 +433,6 @@ class TermInputsNotSpecified(ZiplineError):
     msg = "{termname} requires inputs, but no inputs list was passed."
 
 
-class TermOutputsNotSpecified(ZiplineError):
-    """
-    Raised if a user attempts to construct a term without specifying outputs
-    and that term does not have class-level default outputs.
-    """
-    msg = (
-        "{termname} requires outputs, but no outputs list was passed."
-    )
-
-
 class WindowLengthNotSpecified(ZiplineError):
     """
     Raised if a user attempts to construct a term without specifying window

zipline/pipeline/factors/factor.py

@@ -8,7 +8,7 @@
 from numpy import inf, where
 from toolz import curry
 
-from zipline.errors import TermOutputsNotSpecified, UnknownRankMethod
+from zipline.errors import UnknownRankMethod
 from zipline.lib.normalize import naive_grouped_rowwise_apply
 from zipline.lib.rank import masked_rankdata_2d
 from zipline.pipeline.classifiers import Classifier, Everything, Quantiles
@@ -1278,8 +1278,8 @@ def __new__(cls, factor, attribute):
             cls,
             attribute=attribute,
             inputs=[factor],
-            outputs=factor.outputs,
             window_length=0,
+            mask=factor.mask,
             dtype=factor.dtype,
             missing_value=factor.missing_value,
         )
@@ -1295,11 +1295,6 @@ def static_identity(cls, attribute, *args, **kwargs):
             attribute,
         )
 
-    def _validate(self):
-        super(RecarrayFactor, self)._validate()
-        if not self.outputs:
-            raise TermOutputsNotSpecified(termname=type(self).__name__)
-
     def _compute(self, windows, dates, assets, mask):
         return windows[0][self.attribute]