Add a unit test for Absolute Bias

ocw/tests/test_metrics.py

@@ -66,6 +66,46 @@ def test_function_run(self):
         expected_result.fill(-300)
         np.testing.assert_array_equal(self.bias.run(
             self.target_dataset, self.reference_dataset), expected_result)
+
+
+class TestAbsoluteBias(unittest.TestCase):
+    '''Test the metrics.Bias metric.'''
+
+    def setUp(self):
+        self.bias = metrics.AbsoluteBias()
+        # Initialize reference dataset
+        self.reference_lat = np.array([10, 12, 14, 16, 18])
+        self.reference_lon = np.array([100, 102, 104, 106, 108])
+        self.reference_time = np.array(
+            [dt.datetime(2000, x, 1) for x in range(1, 13)])
+        flat_array = np.array(range(300))
+        self.reference_value = flat_array.reshape(12, 5, 5)
+        self.reference_variable = 'prec'
+        self.reference_dataset = Dataset(self.reference_lat,
+                                         self.reference_lon,
+                                         self.reference_time,
+                                         self.reference_value,
+                                         self.reference_variable)
+        # Initialize target dataset
+        self.target_lat = np.array([1, 2, 4, 6, 8])
+        self.target_lon = np.array([10, 12, 14, 16, 18])
+        self.target_time = np.array(
+            [dt.datetime(2001, x, 1) for x in range(1, 13)])
+        flat_array = np.array(range(300, 600))
+        self.target_value = flat_array.reshape(12, 5, 5)
+        self.target_variable = 'tasmax'
+        self.target_dataset = Dataset(self.target_lat,
+                                      self.target_lon,
+                                      self.target_time,
+                                      self.target_value,
+                                      self.target_variable)
+
+    def test_function_run(self):
+        '''Test bias function between reference dataset and target dataset.'''
+        expected_result = np.zeros((12, 5, 5), dtype=np.int)
+        expected_result.fill(300)
+        np.testing.assert_array_equal(self.bias.run(
+            self.target_dataset, self.reference_dataset), expected_result)
 
 
 class TestSpatialPatternTaylorDiagram(unittest.TestCase):