svn commit: r1564875 - /incubator/climate/trunk/ocw/tests/test_metrics.py

[bo...@apache.org]

Author: boustani
Date: Wed Feb  5 18:45:58 2014
New Revision: 1564875

URL: http://svn.apache.org/r1564875
Log:
[CLIMATE-336] Unittest for Class Bias for metrics.py module.

Added:
    incubator/climate/trunk/ocw/tests/test_metrics.py

Added: incubator/climate/trunk/ocw/tests/test_metrics.py
URL: http://svn.apache.org/viewvc/incubator/climate/trunk/ocw/tests/test_metrics.py?rev=1564875&view=auto
==============================================================================
--- incubator/climate/trunk/ocw/tests/test_metrics.py (added)
+++ incubator/climate/trunk/ocw/tests/test_metrics.py Wed Feb  5 18:45:58 2014
@@ -0,0 +1,61 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+'''Unit test for the metrics.py module.'''
+
+import unittest
+import datetime as dt
+
+from ocw.metrics import Bias
+from ocw.dataset import Dataset
+
+import numpy as np
+
+
+class TestBias(unittest.TestCase):
+    '''Test the metrics.Bias metric.'''
+    def setUp(self):
+        self.bias = Bias()
+        #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)
+        self.assertTrue(np.array_equal(self.bias.run(self.reference_dataset, self.target_dataset), expected_result))
+
+
+if __name__ == '__main__':
+    unittest.main()