e2ecdcfe33
Former-commit-id:a02aeb236c[formerly9f19e3f712] [formerlya02aeb236c[formerly9f19e3f712] [formerly06a8b51d6d[formerly 64fa9254b946eae7e61bbc3f513b7c3696c4f54f]]] Former-commit-id:06a8b51d6dFormer-commit-id:8e80217e59[formerly3360eb6c5f] Former-commit-id:377dcd10b9
75 lines
3.1 KiB
Python
75 lines
3.1 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 PotVortMB
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class TestPotVortMB(unittest.TestCase):
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def setUp(self):
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self.t_lo = np.ones((5,5), dtype=np.float32) * 273.15
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self.t_up = self.t_lo + 12.5
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self.p_lo = np.ones_like(self.t_lo) * 900.0
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self.p_up = self.p_lo + 100.0
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self.u_lo = np.ones_like(self.t_lo) * 4.0
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self.v_lo = np.ones_like(self.t_lo) * 3.0
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self.Wind_lo = (self.u_lo, self.v_lo)
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self.u_up = self.u_lo + 1.0
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self.v_up = self.v_lo + 1.0
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self.Wind_up = (self.u_up, self.v_up)
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self.dx = np.ones_like(self.t_lo)
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self.dy = np.ones_like(self.t_lo)
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self.coriolis = np.ones_like(self.t_lo) * np.sqrt(2)
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def testMath(self):
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"Test simplest operation."
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result = PotVortMB.execute(self.t_up, self.t_lo, self.p_up, self.p_lo,
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self.Wind_up, self.Wind_lo,
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self.dx, self.dy, self.coriolis)
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av = 2.82842707634
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ansr = -0.5 * (av*12.5 + 1.0*0.0 - 1.0*0.0) / 100
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correct = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[1e37, ansr, ansr, ansr, 1e37],
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[1e37, ansr, ansr, ansr, 1e37],
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[1e37, ansr, ansr, ansr, 1e37],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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if not np.allclose(correct, result):
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self.fail("Incorrect result:" + repr(result))
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def testMasked(self):
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"Test that function doesn't crash when an input cell is ourNaN."
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self.t_up[1,1] = 1e37
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result = PotVortMB.execute(self.t_up, self.t_lo, self.p_up, self.p_lo,
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self.Wind_up, self.Wind_lo,
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self.dx, self.dy, self.coriolis)
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av = 2.82842707634
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ansr = -0.5 * (av*12.5 + 1.0*0.0 - 1.0*0.0) / 100
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correct = np.array([[1e37, 1e37, 1e37, 1e37, 1e37],
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[1e37, 1e37, 1e37, ansr, 1e37],
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[1e37, 1e37, ansr, ansr, 1e37],
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[1e37, ansr, ansr, ansr, 1e37],
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[1e37, 1e37, 1e37, 1e37, 1e37]], dtype=np.float32)
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if not np.allclose(correct, result):
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self.fail("Incorrect result:" + repr(result))
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