[Scipy-svn] r2910 - trunk/Lib/sandbox/timeseries/lib/tests

[scipy-svn at scipy.org]

Author: mattknox_ca
Date: 2007-04-12 15:06:21 -0500 (Thu, 12 Apr 2007)
New Revision: 2910

Removed:
   trunk/Lib/sandbox/timeseries/lib/tests/test_filters.py
Log:
replaced by test_moving_funcs.py

Deleted: trunk/Lib/sandbox/timeseries/lib/tests/test_filters.py
===================================================================
--- trunk/Lib/sandbox/timeseries/lib/tests/test_filters.py	2007-04-12 20:05:35 UTC (rev 2909)
+++ trunk/Lib/sandbox/timeseries/lib/tests/test_filters.py	2007-04-12 20:06:21 UTC (rev 2910)
@@ -1,87 +0,0 @@
-# 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: $Id$
-"""
-__author__ = "Pierre GF Gerard-Marchant & Matt Knox ($Author$)"
-__version__ = '1.0'
-__revision__ = "$Revision$"
-__date__     = '$Date$'
-
-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
-
-import tseries
-from tseries import time_series, thisday
-
-import addons.filters
-from addons.filters import running_mean
-
-
-class test_runningmean(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 = running_mean(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 = running_mean(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 = running_mean(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 = running_mean(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