Example #1
0
    def test_SphericalTransformation2D(self):
      
         dom=Rectangle(NE,NE, l0=45., l1=10.)
         
         cs=SphericalReferenceSystem()
         tf=cs.createTransformation(dom)
         
         self.assertEqual(tf.getReferenceSystem(),cs , "wrong reference")
         self.assertEqual(tf.getDomain(),dom , "wrong reference")
         self.assertFalse(tf.isCartesian(), "wrong isCartesian check")
         
         R=6378137.0
         x=esys.escript.Function(dom).getX()
         phi=(90.-x[0])/180.*pi
         h=x[1]*1000.
         r=h+R
         
         v=tf.getVolumeFactor()
         self.assertTrue(isinstance(v, esys.escript.Data), "wrong volume factor type")
         self.assertEqual(v.getFunctionSpace(), esys.escript.Function(dom), "wrong volume factor type")
         error=Lsup(v-r*pi/180.*1000.)
         self.assertTrue(error<=RTOL*R, "volume factor")
         
         s=tf.getScalingFactors()
         self.assertTrue(isinstance(s, esys.escript.Data), "scaling factor type")
         self.assertEqual(s.getShape(), (dom.getDim(),), "scaling factor length")
         self.assertEqual(s.getFunctionSpace(), esys.escript.Function(dom), "wrong 0-th scaling factor type")

         error=Lsup(s[0]-1./r/pi*180.)
         self.assertTrue(error<=RTOL/R/pi*180., "0-th scaling factor")         
         error=Lsup(s[1]-1./1000)
         self.assertTrue(error<=RTOL/1000., "1-th scaling factor")  
 def test_CartesianTransformation2D(self):
   
      dom=Rectangle(NE,NE, l0=10, l1=10)
      
      cs=CartesianReferenceSystem()
      tf=cs.createTransformation(dom)
      
      self.assertEqual(tf.getReferenceSystem(),cs , "wrong reference")
      self.assertEqual(tf.getDomain(),dom , "wrong reference")
      self.assertTrue(tf.isCartesian(), "wrong isCartesian check")
      
      
      v=tf.getVolumeFactor()
      self.assertTrue(isinstance(v, esys.escript.Data), "wrong volume factor type")
      self.assertEqual(v.getFunctionSpace(), esys.escript.Function(dom), "wrong volume factor type")
      error=Lsup(v-1.)
      self.assertTrue(error<=RTOL, "volume factor")
      
      s=tf.getScalingFactors()
      self.assertTrue(isinstance(s, esys.escript.Data), "scaling factor type")
      self.assertEqual(s.getShape(), (dom.getDim(),), "scaling factor length")
      self.assertEqual(s.getFunctionSpace(), esys.escript.Function(dom), "wrong 0-th scaling factor type")
      
      error=Lsup(s[0]-1.)
      self.assertTrue(error<=RTOL, "0-th scaling factor")         
      
      error=Lsup(s[1]-1.)
      self.assertTrue(error<=RTOL, "1-th scaling factor")  
    def test_SphericalTransformation2D(self):
      
         dom=Rectangle(NE,NE, l0=45., l1=10.)
         
         cs=SphericalReferenceSystem()
         tf=cs.createTransformation(dom)
         
         self.assertEqual(tf.getReferenceSystem(),cs , "wrong reference")
         self.assertEqual(tf.getDomain(),dom , "wrong reference")
         self.assertFalse(tf.isCartesian(), "wrong isCartesian check")
         
         R=6378137.0
         x=esys.escript.Function(dom).getX()
         phi=(90.-x[0])/180.*pi
         h=x[1]*1000.
         r=h+R
         
         v=tf.getVolumeFactor()
         self.assertTrue(isinstance(v, esys.escript.Data), "wrong volume factor type")
         self.assertEqual(v.getFunctionSpace(), esys.escript.Function(dom), "wrong volume factor type")
         error=Lsup(v-r*pi/180.*1000.)
         self.assertTrue(error<=RTOL*R, "volume factor")
         
         s=tf.getScalingFactors()
         self.assertTrue(isinstance(s, esys.escript.Data), "scaling factor type")
         self.assertEqual(s.getShape(), (dom.getDim(),), "scaling factor length")
         self.assertEqual(s.getFunctionSpace(), esys.escript.Function(dom), "wrong 0-th scaling factor type")

         error=Lsup(s[0]-1./r/pi*180.)
         self.assertTrue(error<=RTOL/R/pi*180., "0-th scaling factor")         
         error=Lsup(s[1]-1./1000)
         self.assertTrue(error<=RTOL/1000., "1-th scaling factor")  
Example #4
0
 def test_CartesianTransformation2D(self):
   
      dom=Rectangle(NE,NE, l0=10, l1=10)
      
      cs=CartesianReferenceSystem()
      tf=cs.createTransformation(dom)
      
      self.assertEqual(tf.getReferenceSystem(),cs , "wrong reference")
      self.assertEqual(tf.getDomain(),dom , "wrong reference")
      self.assertTrue(tf.isCartesian(), "wrong isCartesian check")
      
      
      v=tf.getVolumeFactor()
      self.assertTrue(isinstance(v, esys.escript.Data), "wrong volume factor type")
      self.assertEqual(v.getFunctionSpace(), esys.escript.Function(dom), "wrong volume factor type")
      error=Lsup(v-1.)
      self.assertTrue(error<=RTOL, "volume factor")
      
      s=tf.getScalingFactors()
      self.assertTrue(isinstance(s, esys.escript.Data), "scaling factor type")
      self.assertEqual(s.getShape(), (dom.getDim(),), "scaling factor length")
      self.assertEqual(s.getFunctionSpace(), esys.escript.Function(dom), "wrong 0-th scaling factor type")
      
      error=Lsup(s[0]-1.)
      self.assertTrue(error<=RTOL, "0-th scaling factor")         
      
      error=Lsup(s[1]-1.)
      self.assertTrue(error<=RTOL, "1-th scaling factor")  
Example #5
0
 def setUp(self):
     self.domain = Rectangle(self.NEX,
                             self.NEZ,
                             l0=self.WIDTH,
                             l1=self.DEPTH)
     self.loc = Locator(ReducedFunction(self.domain),
                        [(self.STATION_OFFSET, self.DEPTH - self.AIR_LAYER -
                          self.DEPTH / self.NEZ / 2)])
     self.airLayerMask = whereNonNegative(self.domain.getX()[1] -
                                          self.DEPTH + self.AIR_LAYER)
     self.airLayerMaskCenter = whereNonNegative(
         ReducedFunction(self.domain).getX()[1] - self.DEPTH +
         self.AIR_LAYER)
Example #6
0
 def setUp(self):
     self.boundary_tag_list = [1, 2, 10, 20]
     self.domain = Rectangle(n0=NE * NX - 1,
                             n1=NE * NY - 1,
                             l0=1.,
                             l1=1.,
                             d0=NX,
                             d1=NY)
     self.rdomain = Rectangle(n0=(NE + 6) * NX - 1,
                              n1=(NE + 6) * NY - 1,
                              l0=1.,
                              l1=1.,
                              d0=NX,
                              d1=NY)
Example #7
0
    def test_Creation(self):
        r = self.numRanks
        el = self.numRanks * 3 - 1

        #test bad types
        with self.assertRaises(TypeError):
            Rectangle(5, el, d1=r, diracPoints=(.0, 0.), diracTags=["test"])
        with self.assertRaises(TypeError):
            Rectangle(5, el, d1=r, diracPoints=[(.0, 0.)], diracTags=("test"))
        with self.assertRaises(TypeError):
            Rectangle(5, el, d1=r, diracPoints=[.0], diracTags=["test"])
        with self.assertRaises(TypeError):
            Rectangle(5, el, d1=r, diracPoints=[.0, .0], diracTags=["test"])

        with self.assertRaises(TypeError):
            Brick(5, el, 5, d1=r, diracPoints=(.0, 0., 0.), diracTags=["test"])
        with self.assertRaises(TypeError):
            Brick(5,
                  el,
                  5,
                  d1=r,
                  diracPoints=[(.0, 0., 0.)],
                  diracTags=("test"))
        with self.assertRaises(TypeError):
            Brick(5, el, 5, d1=r, diracPoints=[.0, 0.], diracTags=["test"])

        #test bad arg lengths
        with self.assertRaises(RuntimeError):
            Rectangle(5, el, d1=r, diracPoints=[(.0, )], diracTags=["test"])
        with self.assertRaises(RuntimeError):
            Rectangle(5, el, d1=r, diracPoints=[(.0, 1.)], diracTags=[])
        with self.assertRaises(RuntimeError):
            Rectangle(5,
                      el,
                      d1=r,
                      diracPoints=[(.0, 0.)],
                      diracTags=["test", "break"])
        with self.assertRaises(RuntimeError):
            Rectangle(5,
                      el,
                      d1=r,
                      diracPoints=[(.0, 0., 0.)],
                      diracTags=["test"])

        with self.assertRaises(RuntimeError):
            Brick(5,
                  el,
                  5,
                  d1=r,
                  diracPoints=[(.0, 0., 0., 0.)],
                  diracTags=["test"])
        with self.assertRaises(RuntimeError):
            Brick(5, el, 5, d1=r, diracPoints=[(
                .0,
                0.,
            )], diracTags=["test"])
        with self.assertRaises(RuntimeError):
            Brick(5, el, 5, d1=r, diracPoints=[(.0, )], diracTags=["test"])
Example #8
0
 def generateRects(self, a, b):
     rectX = Rectangle(self.longEdge,
                       self.shortEdge,
                       l0=self.longEdge,
                       l1=self.shortEdge,
                       d0=self.numRanks,
                       diracPoints=[(a, b)],
                       diracTags=["test"])
     rectY = Rectangle(self.shortEdge,
                       self.longEdge,
                       l0=self.shortEdge,
                       l1=self.longEdge,
                       d1=self.numRanks,
                       diracPoints=[(b, a)],
                       diracTags=["test"])
     return [rectX, rectY]
Example #9
0
class TestMagneticApp2D(unittest.TestCase):

    xdim = 1000.
    zdim = 1000.
    NEX = 100
    NEZ = 100
    TESTTOL = 1e-3

    def setUp(self):
        self.domain = Rectangle(self.NEX, self.NEZ, l0=self.xdim, l1=self.zdim)

    def tearDown(self):
        del self.domain

    def test_pde_answer(self):
        model = MagneticModel2D(self.domain, fixVert=True)
        x = self.domain.getX()
        xmin = inf(x[0])
        xmax = sup(x[0])
        ymin = inf(x[1])
        ymax = sup(x[1])
        xp = 2. * np.pi / (xmax - xmin)
        yp = 2. * np.pi / (ymax - ymin)
        Bh = [1., 0.]
        k = ((xp**2 + yp**2) / xp) * cos(xp * x[0]) * cos(yp * x[1])
        model.setSusceptibility(k)
        outk = model.getSusceptibility()
        kdiff = abs(k - outk)
        self.assertLessEqual(sup(kdiff), self.TESTTOL)
        model.setBackgroundMagneticField(Bh)
        actualanswer = sin(xp * x[0]) * cos(yp * x[1])
        abserror = abs(actualanswer - model.getAnomalyPotential())
        biggesterror = sup(abserror)
        self.assertLessEqual(biggesterror, self.TESTTOL)
Example #10
0
    def setUp(self):
        self.workdir = RIPLEY_WORKDIR
        self.domain = Rectangle(n0=NE * NX - 1,
                                n1=NE * NY - 1,
                                l0=1.,
                                l1=1.,
                                d0=NX,
                                d1=NY)
        self.functionspaces = [
            ContinuousFunction, Function, ReducedFunction, FunctionOnBoundary,
            ReducedFunctionOnBoundary
        ]

        NE0 = NE * NX - 1
        NE1 = NE * NY - 1

        # number of total data points for each function space
        self.linecounts = [(NE0 + 1) * (NE1 + 1) + 1, 4 * NE0 * NE1 + 1,
                           NE0 * NE1 + 1, 4 * NE0 + 4 * NE1 + 1,
                           2 * NE0 + 2 * NE1 + 1]
        # number of masked points, i.e. where X[0] is non-zero
        self.linecounts_masked = [
            NE0 * (NE1 + 1) + 1, 4 * NE0 * NE1 + 1, NE0 * NE1 + 1,
            4 * NE0 + 2 * NE1 + 1, 2 * NE0 + NE1 + 1
        ]
        # expected values in first line of masked data = [ X[:], X[0] ]
        self.firstline = [[1. / NE0, 0., 1. / NE0], [None, None, None],
                          [None, None, None], [None, None, None],
                          [None, None, None]]
Example #11
0
 def setUp(self):
     self.domain=Rectangle(n0=NE*NX-1, n1=NE*NY-1, l0=1., l1=1., d0=NX, d1=NY)
     self.functionspace = FunctionOnBoundary(self.domain) # due to a bug in escript python needs to hold a reference to the domain
     try:
         self.workdir=os.environ['RIPLEY_WORKDIR']
     except KeyError:
         self.workdir='.'
Example #12
0
 def setUp(self):
     self.domain = Rectangle(n0=NE * NX - 1,
                             n1=NE * NY - 1,
                             l0=1.,
                             l1=1.,
                             d0=NX,
                             d1=NY)
     self.tol = 0.001
Example #13
0
 def setUp(self):
     self.domain = Rectangle(20,
                             20,
                             l0=100.,
                             l1=100.,
                             diracTags=["source"],
                             diracPoints=[(0, 0)])
     self.wavelet = Ricker(100.)
Example #14
0
 def setUp(self):
     self.order = 1
     self.domain = Rectangle(n0=NE * NX - 1,
                             n1=NE * NY - 1,
                             l0=1.,
                             l1=1.,
                             d0=NX,
                             d1=NY)
Example #15
0
 def setUp(self):
     self.domain = Rectangle(self.NEX,
                             self.NEZ,
                             l0=self.WIDTH,
                             l1=self.DEPTH)
     self.loc = Locator(
         ReducedFunction(self.domain),
         [(self.STATION_OFFSET, self.DEPTH - self.DEPTH / self.NEZ / 2)])
Example #16
0
 def setUp(self):
     self.domain = Rectangle(n0=NE * NX - 1,
                             n1=NE * NY - 1,
                             l0=1.,
                             l1=1.,
                             d0=NX,
                             d1=NY)
     self.domain_with_different_number_of_samples = Rectangle(
         n0=7 * NE * NX - 1, n1=3 * NE * NY - 1, l0=1., l1=1., d0=NX, d1=NY)
     self.domain_with_different_number_of_data_points_per_sample = Rectangle(
         n0=7 * NE * NX - 1, n1=3 * NE * NY - 1, l0=1., l1=1., d0=NX, d1=NY)
     self.domain_with_different_sample_ordering = Rectangle(n0=NE * NX - 1,
                                                            n1=NE * NY - 1,
                                                            l0=1.,
                                                            l1=1.,
                                                            d0=NX,
                                                            d1=NY)
     self.filename_base = RIPLEY_WORKDIR
     self.mainfs = Function(self.domain)
     self.otherfs = Solution(self.domain)
Example #17
0
 def test_FillRectangle(self):
     fs = ContinuousFunction(
         Rectangle(10 * (int(sqrt(mpiSize) + 1)),
                   10 * (int(sqrt(mpiSize) + 1))))
     RandomData((), fs, 2, ("gaussian", 1, 0.5))
     RandomData((), fs, 0, ("gaussian", 2, 0.76))
     self.assertRaises(NotImplementedError, RandomData, (2, 2), fs, 0,
                       ("gaussian", 2, 0.76))  #data not scalar
     self.assertRaises(ValueError, RandomData, (), fs, 0,
                       ("gaussian", 11, 0.1))  #radius too large
     RandomData((2, 3), fs)
Example #18
0
    def __createDomain(self):
        """
        Creates and returns an escript domain that spans the entire area of
        available data plus a padding zone. This method is called only once
        the first time `getDomain()` is invoked.

        :return: The escript domain
        :rtype: `esys.escript.Domain`
        """
        X0, NX, DX = self.__getTotalExtentsWithPadding()

        # number of domain elements
        NE = NX + [self._v_num_cells]

        # origin of domain
        origin = X0 + [-self._v_depth * self.__v_scale]

        if self.getReferenceSystem().isCartesian():
            # rounding will give us about meter-accuracy with UTM coordinates
            self._dom_origin = [np.floor(oi) for oi in origin]
        else:
            # this should give us about meter-accuracy with lat/lon coords
            self._dom_origin = [1e-5 * np.floor(oi * 1e5) for oi in origin]

        # cell size / point spacing
        spacing = DX + [
            self.__v_scale * np.floor(
                (self._v_depth + self._v_air_layer) / self._v_num_cells)
        ]
        #self._spacing = [float(np.floor(si)) for si in spacing]
        self._spacing = spacing

        lo = [(self._dom_origin[i],
               self._dom_origin[i] + NE[i] * self._spacing[i])
              for i in range(self.__dim)]

        if self.__dim == 3:
            dom = Brick(*NE, l0=lo[0], l1=lo[1], l2=lo[2])
        else:
            dom = Rectangle(*NE, l0=lo[0], l1=lo[1])

        # ripley may internally adjust NE and length, so recompute
        self._dom_len = [
            esu.sup(dom.getX()[i]) - esu.inf(dom.getX()[i])
            for i in range(self.__dim)
        ]
        self._dom_NE = [
            int(self._dom_len[i] / self._spacing[i]) for i in range(self.__dim)
        ]

        self.logger.debug("Domain size: " + str(self._dom_NE))
        self.logger.debug("     length: " + str(self._dom_len))
        self.logger.debug("     origin: " + str(self._dom_origin))
        return dom
 def setUp(self):
     for x in [int(sqrt(mpiSize)), 2, 3, 5, 7, 1]:
         NX = x
         NY = mpiSize // x
         if NX * NY == mpiSize:
             break
     self.domain = Rectangle(n0=NE * NX - 1,
                             n1=NE * NY - 1,
                             l0=1.,
                             l1=1.,
                             d0=NX,
                             d1=NY)
Example #20
0
 def setUp(self):
     self.fs = Function(Rectangle(40, 40))
Example #21
0
class TestMT2DTMWithAirLayer(unittest.TestCase):

    DEPTH = 3000.
    WIDTH = 1000.
    RHO0 = 100.
    NEX = 100
    NEZ = 300
    STATION_OFFSET = 1000.
    AIR_LAYER = 300.

    TRUE_PHASE = 45.
    TRUE_RHO = 100.
    USEFASTSOLVER = False  # True works not yet

    def setUp(self):
        self.domain = Rectangle(self.NEX,
                                self.NEZ,
                                l0=self.WIDTH,
                                l1=self.DEPTH)
        self.loc = Locator(ReducedFunction(self.domain),
                           [(self.STATION_OFFSET, self.DEPTH - self.AIR_LAYER -
                             self.DEPTH / self.NEZ / 2)])
        self.airLayerMask = whereNonNegative(self.domain.getX()[1] -
                                             self.DEPTH + self.AIR_LAYER)
        self.airLayerMaskCenter = whereNonNegative(
            ReducedFunction(self.domain).getX()[1] - self.DEPTH +
            self.AIR_LAYER)

    def tearDown(self):
        del self.domain
        del self.loc

    def runModel(self, model, PERIODS, TOL):
        for frq in PERIODS:
            Zyx = model.getImpedance(f=frq)
            self.assertIsInstance(Zyx, Data)
            self.assertEqual(Zyx.getShape(), ())
            self.assertEqual(Zyx.getFunctionSpace(),
                             ReducedFunction(self.domain))

            rho = model.getApparentResitivity(frq, Zyx)
            self.assertIsInstance(rho, Data)
            self.assertEqual(rho.getShape(), ())
            self.assertEqual(rho.getFunctionSpace(),
                             ReducedFunction(self.domain))

            phi = model.getPhase(frq, Zyx)
            self.assertIsInstance(phi, Data)
            self.assertEqual(phi.getShape(), ())
            self.assertEqual(phi.getFunctionSpace(),
                             ReducedFunction(self.domain))

            #print(frq, self.loc(rho)[0], self.loc(phi)[0])
            self.assertAlmostEqual(self.loc(rho)[0],
                                   self.TRUE_RHO,
                                   delta=TOL * self.TRUE_RHO)
            self.assertAlmostEqual(self.loc(phi)[0],
                                   self.TRUE_PHASE,
                                   delta=TOL * self.TRUE_PHASE)

    def test_RhoBFloat(self):
        """
        resistivity set on elements, radiation condition
        """
        PERIODS = np.logspace(-2,
                              2,
                              num=5,
                              endpoint=True,
                              base=10.0,
                              dtype=float)
        rho = self.airLayerMaskCenter * 9999999 + (
            1 - self.airLayerMaskCenter) * self.RHO0
        model = MT2DTMModel(self.domain,
                            fixBottom=False,
                            airLayer=self.DEPTH - self.AIR_LAYER,
                            useFastSolver=self.USEFASTSOLVER)
        self.assertEqual(0, Lsup(model.airLayer - self.airLayerMask))
        model.setResistivity(rho, rho_boundary=self.RHO0)
        self.runModel(model, PERIODS, TOL=1.e-3)

    def test_RhoBDataFixedButtom(self):
        """
        resistivity set on elements, no value on boundary but interpolation is not possible fixed bottom 
        """
        PERIODS = np.logspace(2,
                              3,
                              num=3,
                              endpoint=True,
                              base=10.0,
                              dtype=float)
        rho = self.airLayerMaskCenter * 9999999 + (
            1 - self.airLayerMaskCenter) * self.RHO0
        model = MT2DTMModel(self.domain,
                            fixBottom=True,
                            airLayer=self.DEPTH - self.AIR_LAYER,
                            useFastSolver=self.USEFASTSOLVER)
        self.assertEqual(0, Lsup(model.airLayer - self.airLayerMask))
        model.setResistivity(rho)
        self.runModel(model, PERIODS, TOL=1.e-1)

    def test_RhoBDataFailed(self):
        """
        resistivity set on elements, no value on boundary but interpolation is not possible fixed bottom 
        """
        PERIODS = np.logspace(2,
                              3,
                              num=3,
                              endpoint=True,
                              base=10.0,
                              dtype=float)
        rho = self.airLayerMaskCenter * 9999999 + (
            1 - self.airLayerMaskCenter) * self.RHO0
        model = MT2DTMModel(self.domain,
                            fixBottom=False,
                            airLayer=self.DEPTH - self.AIR_LAYER,
                            useFastSolver=self.USEFASTSOLVER)
        self.assertEqual(0, Lsup(model.airLayer - self.airLayerMask))
        self.assertRaises(RuntimeError, model.setResistivity, *(rho, ))
 def setUp(self):
     self.domain = Rectangle(n0=NE0 * NX - 1, n1=NE1 * NY - 1, d0=NX, d1=NY)
     self.package = SolverOptions.MKL
     self.method = SolverOptions.DIRECT
Example #23
0
 def setUp(self):
     self.domain = Rectangle(n0=NE0*NX-1, n1=NE1*NY-1, d0=NX, d1=NY)
     self.package = SolverOptions.TRILINOS
     self.method = SolverOptions.BICGSTAB
     self.preconditioner = SolverOptions.JACOBI
Example #24
0
 def setUp(self):
     self.domain = Rectangle(self.NEX, self.NEZ, l0=self.xdim, l1=self.zdim)
            rg.append((receiver_line[ix], 0.))
        else:
            rcv_locations.append((receiver_line[ix], mid_point, depth))
            rg.append((receiver_line[ix], mid_point))
    # North-south line of receiver
    if DIM == 3:
        for iy in range(len(receiver_line)):
            rcv_locations.append((mid_point, receiver_line[iy], depth))
            rg.append((mid_point, receiver_line[iy]))
    #
    # create domain:
    #
    if DIM == 2:
        domain = Rectangle(ne_x,
                           ne_z,
                           l0=width_x,
                           l1=depth,
                           diracPoints=src_locations,
                           diracTags=src_tags)
    else:
        domain = Brick(ne_x,
                       ne_x,
                       ne_z,
                       l0=width_x,
                       l1=width_y,
                       l2=depth,
                       diracPoints=src_locations,
                       diracTags=src_tags)
    wl = Ricker(frq, tcenter)

    #======================================================================
    z = Function(domain).getX()[DIM - 1]
# you want to increase the value for `num` to get nicer plots.

#================================================

print("Width [m] = ",WIDTH)
print("Depth [m] = ", DEPTH)
print("Mesh size [m] = ", WIDTH/NEX)
print("Number of cells in x direction = ", NEX)
print("Number of cells in z direction = ", NEZ)
print("Air layer [m] = ", L_AIR)
print("periods [s] = ", PERIODS)

#==============================================

print("generating mesh ...")
domain=Rectangle(NEX,NEZ,l0=WIDTH,l1=DEPTH)

print("generating conductivity ...")
# you can replace this by an interpolation table read from a CSV file.
z=ReducedFunction(domain).getX()[domain.getDim()-1]
sigma=Scalar(SIGMA0, z.getFunctionSpace())
rho=Scalar(1./SIGMA0, z.getFunctionSpace())
z_top=sup(domain.getX()[domain.getDim()-1])
m_top=0.
for l, s in zip(LAYERS, SIGMA ):
    m2=wherePositive(z-z_top+l)
    m=m2-m_top
    sigma=(1-m)*sigma+m*s
    if s > 0:
       rho=(1-m)*rho+m*1./s
    else:
Example #27
0
 def setUp(self):
     Stations = [ (0.,0.), (1.,0), (0,1), (1,1) ]
     StationsTags = ["A1", "A2", "A3", "A4" ]
     self.domain=Rectangle(n0=5,n1=5, diracPoints=Stations, diracTags=StationsTags)
 def setUp(self):
     self.domain = Rectangle(n0=NE0*NX-1, n1=NE1*NY-1, d0=NX, d1=NY)
     self.package = SolverOptions.PASO
     self.method = SolverOptions.PCG
     self.preconditioner = SolverOptions.JACOBI
Example #29
0
 def setUp(self):
     self.domain = Rectangle(20, 20)
 def setUp(self):
     self.domain = Rectangle(l0=1.,
                             l1=1.,
                             n0=10,
                             n1=10 * getMPISizeWorld() - 1,
                             d1=getMPISizeWorld())