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rowanc1
58 lines
1.4 KiB
Python
58 lines
1.4 KiB
Python
import unittest
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from SimPEG import *
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import simpegEM as EM
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class TDEM_bDerivTests(unittest.TestCase):
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def setUp(self):
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cs = 5.
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ncx = 2
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ncy = 2
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ncz = 2
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npad = 3
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hx = Utils.meshTensors(((npad,cs), (ncx,cs), (npad,cs)))
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hy = Utils.meshTensors(((npad,cs), (ncy,cs), (npad,cs)))
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hz = Utils.meshTensors(((npad,cs), (ncz,cs), (npad,cs)))
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mesh = Mesh.TensorMesh([hx,hy,hz])
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XY = Utils.ndgrid(np.linspace(20,50,3), np.linspace(20,50,3))
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rxLoc = np.c_[XY, np.ones(XY.shape[0])*40]
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model = Model.LogModel(mesh)
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opts = {'txLoc':0.,
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'txType':'VMD_MVP',
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'rxLoc': rxLoc,
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'rxType':'bz',
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'freq': np.logspace(0,3,4),
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}
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dat = EM.FDEM.DataFDEM(**opts)
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prb = EM.FDEM.ProblemFDEM_e(mesh, model)
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prb.pair(dat)
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sigma = np.log(np.ones(mesh.nC)*1e-3)
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j_sx = np.zeros(mesh.vnEx)
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j_sx[4,4,4] = 1
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j_s = np.r_[Utils.mkvc(j_sx),np.zeros(mesh.nEy+mesh.nEz)]
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prb.j_s = j_s
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f = prb.fields(sigma)
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self.sigma = sigma
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self.prb = prb
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self.dat = dat
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def test_JVec(self):
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x0 = self.sigma
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def fun(x):
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return self.dat.dpred(x), lambda x: self.prb.Jvec(x0, x)
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passed = Tests.checkDerivative(fun, x0, num=3, plotIt=False)
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self.assertTrue(passed)
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if __name__ == '__main__':
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unittest.main()
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