[Scipy-svn] r2909 - trunk/Lib/sandbox/timeseries/lib/tests

scipy-svn@scip... scipy-svn@scip...
Thu Apr 12 15:05:38 CDT 2007


Author: mattknox_ca
Date: 2007-04-12 15:05:35 -0500 (Thu, 12 Apr 2007)
New Revision: 2909

Added:
   trunk/Lib/sandbox/timeseries/lib/tests/test_moving_funcs.py
Log:
moving_funcs tests

Added: trunk/Lib/sandbox/timeseries/lib/tests/test_moving_funcs.py
===================================================================
--- trunk/Lib/sandbox/timeseries/lib/tests/test_moving_funcs.py	2007-04-12 20:01:06 UTC (rev 2908)
+++ trunk/Lib/sandbox/timeseries/lib/tests/test_moving_funcs.py	2007-04-12 20:05:35 UTC (rev 2909)
@@ -0,0 +1,84 @@
+# pylint: disable-msg=W0611, W0612, W0511,R0201
+"""Tests suite for MaskedArray & subclassing.
+
+:author: Pierre Gerard-Marchant & Matt Knox
+:contact: pierregm_at_uga_dot_edu & mattknox_ca_at_hotmail_dot_com
+:version: $Id: test_filters.py 2819 2007-03-03 23:00:20Z pierregm $
+"""
+__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author: pierregm $)"
+__version__ = '1.0'
+__revision__ = "$Revision: 2819 $"
+__date__     = '$Date: 2007-03-03 18:00:20 -0500 (Sat, 03 Mar 2007) $'
+
+import numpy as N
+import numpy.core.numeric as numeric
+
+from numpy.testing import NumpyTest, NumpyTestCase
+
+import maskedarray.testutils
+from maskedarray.testutils import *
+
+import maskedarray.core as coremodule
+from maskedarray.core import MaskedArray, masked
+
+from timeseries import time_series, thisday
+
+from timeseries.addons.moving_funcs import cmov_average
+
+class test_cmov_average(NumpyTestCase):
+    
+    def __init__(self, *args, **kwds):
+        NumpyTestCase.__init__(self, *args, **kwds)
+        self.data = numeric.arange(25)
+        self.maskeddata = MaskedArray(self.data)
+        self.maskeddata[10] = masked
+    #         
+    def test_onregulararray(self):
+        data = self.data
+        for width in [3,5,7]:
+            k = (width-1)/2
+            ravg = cmov_average(data,width)
+            assert(isinstance(ravg, MaskedArray))
+            assert_equal(ravg, data)
+            assert_equal(ravg._mask, [1]*k+[0]*(len(data)-2*k)+[1]*k)
+    #
+    def test_onmaskedarray(self):
+        data = self.maskeddata
+        for width in [3,5,7]:
+            k = (width-1)/2
+            ravg = cmov_average(data,width)
+            assert(isinstance(ravg, MaskedArray))
+            assert_equal(ravg, data)
+            m = N.zeros(len(data), N.bool_)
+            m[:k] = m[-k:] = m[10-k:10+k+1] = True
+            assert_equal(ravg._mask, m)
+    #
+    def test_ontimeseries(self):
+        data = time_series(self.maskeddata, start_date=thisday('D'))
+        for width in [3,5,7]:
+            k = (width-1)/2
+            ravg = cmov_average(data,width)
+            assert(isinstance(ravg, MaskedArray))
+            assert_equal(ravg, data)
+            m = N.zeros(len(data), N.bool_)
+            m[:k] = m[-k:] = m[10-k:10+k+1] = True
+            assert_equal(ravg._mask, m)
+            assert_equal(ravg._dates, data._dates)
+    #
+    def tests_onmultitimeseries(self):
+        maskeddata = MaskedArray(N.random.random(75).reshape(25,3))
+        maskeddata[10] = masked
+        data = time_series(maskeddata, start_date=thisday('D'))
+        for width in [3,5,7]:
+            k = (width-1)/2
+            ravg = cmov_average(data,width)
+            assert(isinstance(ravg, MaskedArray))
+            assert_almost_equal(ravg[18].squeeze(), data[18-k:18+k+1].mean(0))
+            m = N.zeros(data.shape, N.bool_)
+            m[:k] = m[-k:] = m[10-k:10+k+1] = True
+            assert_equal(ravg._mask, m)
+            assert_equal(ravg._dates, data._dates)
+
+#------------------------------------------------------------------------------
+if __name__ == "__main__":
+    NumpyTest().run()                
\ No newline at end of file



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