Implementing loglinear classification (without training), for CL classification

appengine/findit/libs/math/test/functions_test.py

 # Copyright 2016 The Chromium Authors. All rights reserved.
 # Use of this source code is governed by a BSD-style license that can be
 # found in the LICENSE file.
 
 import unittest
 
 from libs.math.functions import Function
 from libs.math.functions import MemoizedFunction
 
 
@@ skipping 40 matching lines @@
     """``MemoizedFunction._ClearMemos`` does actually clear the memos.
 
     That is, we call the underlying function once (to set the memo),
     then swap put the underlying function with a different one (to be
     sure we know whether the next ``__call__`` goes to the memos or to
     the function), and finally clear the memos and check.
     """
     f = MemoizedFunction(_F)
     f(5)
     f._f = _G
-    f._ClearMemos()
+    f.ClearMemos()
     self.assertEqual(_G(5), f(5))