e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
125 lines
No EOL
5.1 KiB
Python
125 lines
No EOL
5.1 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 Divergence
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## Unit test for Divergence function.
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class TestDivergence(unittest.TestCase):
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"""Unit tests for the divergence function."""
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def testOuterEdge(self):
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"""Make sure Divergence.execute() fills the outer edge with
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the "invalid" placeholder value (1e37)."""
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U = np.ones((4,4), dtype=np.float32)
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V = np.ones_like(U);
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Wind = (U,V)
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dx = np.ones_like(U)
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dy = np.ones_like(U)
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dvgnc = Divergence.execute(Wind,dx,dy)
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self.assertEquals((4,4), dvgnc.shape, "dvgnc.shape")
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self.assertEquals(np.float32, dvgnc.dtype, "dvgnc.dtype")
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correctAnswer = np.array([[1e37, 1e37, 1e37, 1e37],
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[1e37, 0, 0, 1e37],
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[1e37, 0, 0, 1e37],
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[1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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self.failUnless(np.all(correctAnswer==dvgnc), repr(dvgnc))
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def testMiddleMath(self):
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"""Confirm that the inner cells are calculated correctly."""
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U = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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V = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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Wind = (U,V)
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dx = np.ones_like(U);
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dy = np.ones_like(U);
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dvgnc = Divergence.execute(Wind,dx,dy)
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correctAnswer = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[1e37, 2, 0, -2, 1e37],
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[1e37, 0, -2, 0, 1e37],
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[1e37, 0, 0, 0, 1e37],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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self.failUnless(np.all(correctAnswer==dvgnc), "Divergence is incorrect.\n" + repr(dvgnc))
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def testScalarDxDy(self):
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"""Confirm that the inner cells are calculated correctly
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when dx and dy are scalars instead of arrays."""
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U = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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V = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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Wind = (U,V)
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dx = 1
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dy = 1
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dvgnc = Divergence.execute(Wind,dx,dy)
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correctAnswer = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[1e37, 2, 0, -2, 1e37],
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[1e37, 0, -2, 0, 1e37],
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[1e37, 0, 0, 0, 1e37],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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self.failUnless(np.all(correctAnswer==dvgnc), "Divergence is incorrect.\n" + repr(dvgnc))
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def testWithQ(self):
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"""Confirm that the inner cells are calculated correctly when quan is provided."""
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U = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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V = np.array([[1,1,1,1,1],
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[1,1,5,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1]], dtype=np.float32)
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Wind = (U,V)
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dx = np.ones_like(U);
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dy = np.ones_like(U);
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Q = np.array([[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,1,1,1],
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[1,1,4,1,1],
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[1,1,1,1,1]])
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dvgnc = Divergence.execute(Wind,dx,dy,Q)
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correctAnswer = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[1e37, 2, 0, -2, 1e37],
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[1e37, 0, -0.5, 0, 1e37],
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[1e37, 1.5, 0, -1.5, 1e37],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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self.failUnless(np.all(correctAnswer==dvgnc), "Divergence is incorrect.\n" + repr(dvgnc))
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if "__main__" == __name__:
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unittest.main() |