ENH: Make aliases filters, factors, and classifiers to give them their methods

tests/pipeline/test_factor.py

@@ -20,14 +20,13 @@ from numpy import (
     rot90,
     where,
 )
-from numpy.random import randn, RandomState, seed
+from numpy.random import randn, seed
 
 from zipline.errors import UnknownRankMethod
 from zipline.lib.labelarray import LabelArray
 from zipline.lib.rank import masked_rankdata_2d
 from zipline.lib.normalize import naive_grouped_rowwise_apply as grouped_apply
 from zipline.pipeline import Classifier, Factor, Filter
-from zipline.pipeline.term import Alias
 from zipline.pipeline.factors import (
     Returns,
     RSI,
@@ -1059,23 +1058,3 @@ class TestWindowSafety(TestCase):
         self.assertFalse(F().demean().window_safe)
         self.assertFalse(F(window_safe=False).demean().window_safe)
         self.assertTrue(F(window_safe=True).demean().window_safe)
-
-
-class TestAlias(BasePipelineTestCase):
-
-    def test_alias_factor(self):
-        f = F()
-        a = Alias(f)
-
-        f_values = RandomState(5).randn(5, 5)
-
-        self.check_terms(
-            terms={
-                'f_alias': a,
-            },
-            expected={
-                'f_alias': f_values,
-            },
-            initial_workspace={f: f_values},
-            mask=self.build_mask(ones((5, 5))),
-        )