Make assertMaskedArrayXxx with nonmasked results.

lib/iris/tests/__init__.py

@@ -515,6 +515,7 @@ def _assertMaskedArray(self, assertion, a, b, strict, **kwargs):
         # Define helper function to extract unmasked values as a 1d
         # array.
         def unmasked_data_as_1d_array(array):
+            array = ma.asarray(array)
             if array.ndim == 0:
                 if array.mask:
                     data = np.array([])

lib/iris/tests/unit/tests/test_IrisTest.py

@@ -1,4 +1,4 @@
-# (C) British Crown Copyright 2014 - 2015, Met Office
+# (C) British Crown Copyright 2014 - 2017, Met Office
 #
 # This file is part of Iris.
 #
@@ -86,6 +86,47 @@ def _func(self):
         return self.assertMaskedArrayEqual
 
 
+class Test_assertMaskedArrayEqual__Nonmaasked(tests.IrisTest):
+    def test_nonmasked_same(self):
+        # Masked test can be used on non-masked arrays.
+        arr1 = np.array([1, 2])
+        self.assertMaskedArrayEqual(arr1, arr1)
+
+    def test_masked_nonmasked_same(self):
+        # Masked test can be used between masked + non-masked arrays, and will
+        # consider them equal, when mask=None.
+        arr1 = np.ma.masked_array([1, 2])
+        arr2 = np.array([1, 2])
+        self.assertMaskedArrayEqual(arr1, arr2)
+
+    def test_masked_nonmasked_different(self):
+        arr1 = np.ma.masked_array([1, 2])
+        arr2 = np.array([1, 3])
+        with self.assertRaisesRegexp(AssertionError, 'Arrays are not equal'):
+            self.assertMaskedArrayEqual(arr1, arr2)
+
+    def test_nonmasked_masked_same(self):
+        # Masked test can be used between masked + non-masked arrays, and will
+        # consider them equal, when mask=None.
+        arr1 = np.array([1, 2])
+        arr2 = np.ma.masked_array([1, 2])
+        self.assertMaskedArrayEqual(arr1, arr2)
+
+    def test_masked_nonmasked_same_falsemask(self):
+        # Masked test can be used between masked + non-masked arrays, and will
+        # consider them equal, when mask=False.
+        arr1 = np.ma.masked_array([1, 2], mask=False)
+        arr2 = np.array([1, 2])
+        self.assertMaskedArrayEqual(arr1, arr2)
+
+    def test_masked_nonmasked_same_emptymask(self):
+        # Masked test can be used between masked + non-masked arrays, and will
+        # consider them equal, when mask=zeros.
+        arr1 = np.ma.masked_array([1, 2], mask=[False, False])
+        arr2 = np.array([1, 2])
+        self.assertMaskedArrayEqual(arr1, arr2)
+
+
 class Test_assertMaskedArrayAlmostEqual(_MaskedArrayEquality, tests.IrisTest):
     @property
     def _func(self):