e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
64 lines
No EOL
2.4 KiB
Python
64 lines
No EOL
2.4 KiB
Python
##
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# This software was developed and / or modified by Raytheon Company,
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# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
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#
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# U.S. EXPORT CONTROLLED TECHNICAL DATA
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# This software product contains export-restricted data whose
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# export/transfer/disclosure is restricted by U.S. law. Dissemination
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# to non-U.S. persons whether in the United States or abroad requires
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# an export license or other authorization.
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#
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# Contractor Name: Raytheon Company
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# Contractor Address: 6825 Pine Street, Suite 340
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# Mail Stop B8
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# Omaha, NE 68106
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# 402.291.0100
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#
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# See the AWIPS II Master Rights File ("Master Rights File.pdf") for
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# further licensing information.
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##
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import unittest
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import numpy as np
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import Gradient
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class TestGradient(unittest.TestCase):
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def setUp(self):
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self.data = np.ones((5,5), dtype=np.float32) * 2.0
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np.cumsum(self.data, axis=0, out=self.data)
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np.cumsum(self.data, axis=1, out=self.data)
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self.dx = np.ones((5,5), dtype=np.float32) * 0.5
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self.dy = np.ones((5,5), dtype=np.float32) * 0.5
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def testMath(self):
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"Check that simple gradients match expectations."
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grd_u, grd_v = Gradient.execute(self.data, self.dx, self.dy)
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correct_u = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[ 4.0, 8.0, 12.0, 16.0, 20.0],
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[ 4.0, 8.0, 12.0, 16.0, 20.0],
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[ 4.0, 8.0, 12.0, 16.0, 20.0],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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correct_v = correct_u.transpose()
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if not np.allclose(grd_u, correct_u):
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self.fail("" + repr(grd_u));
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if not np.allclose(grd_v, correct_v):
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self.fail("" + repr(grd_v))
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def testClean(self):
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"Check that input arrays are not modified."
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self.data[1,1] = 1e37
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self.dx[1,1] = 1e37
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self.dy[1,1] = 1e37
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dataCopy = np.copy(self.data)
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dxCopy = np.copy(self.dx)
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dyCopy = np.copy(self.dy)
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dontcare_u, dontcare_v = Gradient.execute(self.data, self.dx, self.dy)
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if not np.allclose(self.data, dataCopy):
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fail("Data was changed.")
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if not np.allclose(self.dx, dxCopy):
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fail("dx was changed.")
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if not np.allclose(self.dy, dyCopy):
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fail("dy was changed.") |