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6
Commits
| Author | SHA1 | Date | |
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a0c9584c55 | ||
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2d992f32d4 | ||
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3f3b2e9232 | ||
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ea5064902c | ||
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4b81ce33f0 | ||
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6a02cc3e99 |
@@ -35,10 +35,11 @@ class BaseDCProblem(BaseEMProblem):
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self.curModel = m
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Jv = self.dataPair(self.survey) #same size as the data
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# Jv = self.dataPair(self.survey) #same size as the data
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A = self.getA()
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Jv = []
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for src in self.survey.srcList:
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u_src = f[src, self._solutionType] # solution vector
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dA_dm_v = self.getADeriv(u_src, v)
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@@ -48,8 +49,10 @@ class BaseDCProblem(BaseEMProblem):
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for rx in src.rxList:
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df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
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df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
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Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
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return Utils.mkvc(Jv)
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# Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
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Jv.append(rx.evalDeriv(src, self.mesh, f, df_dm_v))
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# return Utils.mkvc(Jv)
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return np.hstack(Jv)
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def Jtvec(self, m, v, f=None):
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if f is None:
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@@ -64,7 +67,6 @@ class BaseDCProblem(BaseEMProblem):
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Jtv = np.zeros(m.size)
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AT = self.getA()
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for src in self.survey.srcList:
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u_src = f[src, self._solutionType]
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for rx in src.rxList:
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@@ -45,7 +45,8 @@ class BaseIPProblem(BaseEMProblem):
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self.curModel = m
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Jv = self.dataPair(self.survey) #same size as the data
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# Jv = self.dataPair(self.survey) #same size as the data
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Jv = []
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A = self.getA()
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@@ -58,13 +59,16 @@ class BaseIPProblem(BaseEMProblem):
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for rx in src.rxList:
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df_dmFun = getattr(f, '_%sDeriv'%rx.projField, None)
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df_dm_v = df_dmFun(src, du_dm_v, v, adjoint=False)
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Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
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# Jv[src, rx] = rx.evalDeriv(src, self.mesh, f, df_dm_v)
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Jv.append(rx.evalDeriv(src, self.mesh, f, df_dm_v))
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# Conductivity (d u / d log sigma)
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if self._formulation is 'EB':
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return -Utils.mkvc(Jv)
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# return -Utils.mkvc(Jv)
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return -np.hstack(Jv)
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# Conductivity (d u / d log rho)
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if self._formulation is 'HJ':
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return Utils.mkvc(Jv)
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# return Utils.mkvc(Jv)
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return np.hstack(Jv)
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def Jtvec(self, m, v, f=None):
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if f is None:
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@@ -315,3 +315,107 @@ def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
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return SrcList
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def writeUBC_DCobs(fileName, DCsurvey, dtype='3D', stype='SURFACE', iptype = 0):
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"""
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Write UBC GIF DCIP 2D or 3D observation file
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Input:
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:string fileName -> including path where the file is written out
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:DCsurvey DC survey class object
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:string dtype -> either '2D' | '3D'
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:string stype -> either 'SURFACE' | 'GENERAL'
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Output:
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:param UBC2D-Data file
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:return
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Last edit: February 16th, 2016
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@author: dominiquef
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"""
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from SimPEG import mkvc
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assert (dtype=='2D') | (dtype=='3D'), "Data must be either '2D' | '3D'"
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assert (stype=='SURFACE') | (stype=='GENERAL') | (stype=='SIMPLE'), "Data must be either 'SURFACE' | 'GENERAL' | 'SIMPLE'"
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fid = open(fileName,'w')
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if iptype!=0:
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fid.write('IPTYPE=%i\n'%iptype)
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else:
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fid.write('! ' + stype + ' FORMAT\n')
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count = 0
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for ii in range(DCsurvey.nSrc):
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tx = np.c_[DCsurvey.srcList[ii].loc]
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rx = DCsurvey.srcList[ii].rxList[0].locs
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nD = DCsurvey.srcList[ii].nD
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M = rx[0]
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N = rx[1]
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# Adapt source-receiver location for dtype and stype
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if dtype=='2D':
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if stype == 'SIMPLE':
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#fid.writelines("%e " % ii for ii in mkvc(tx[0,:]))
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A = np.repeat(tx[0,0],M.shape[0],axis=0)
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B = np.repeat(tx[0,1],M.shape[0],axis=0)
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M = M[:,0]
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N = N[:,0]
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np.savetxt(fid, np.c_[A, B, M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
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else:
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if stype == 'SURFACE':
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fid.writelines("%f " % ii for ii in mkvc(tx[0,:]))
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M = M[:,0]
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N = N[:,0]
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if stype == 'GENERAL':
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# Flip sign for z-elevation to depth
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tx[2::2,:] = -tx[2::2,:]
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fid.writelines("%e " % ii for ii in mkvc(tx[::2,:]))
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M = M[:,0::2]
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N = N[:,0::2]
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# Flip sign for z-elevation to depth
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M[:,1::2] = -M[:,1::2]
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N[:,1::2] = -N[:,1::2]
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fid.write('%i\n'% nD)
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np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%f',delimiter=' ',newline='\n')
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if dtype=='3D':
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if stype == 'SURFACE':
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fid.writelines("%e " % ii for ii in mkvc(tx[0:2,:]))
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M = M[:,0:2]
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N = N[:,0:2]
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if stype == 'GENERAL':
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fid.writelines("%e " % ii for ii in mkvc(tx[0:3,:]))
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fid.write('%i\n'% nD)
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np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
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fid.write('\n')
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count += nD
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fid.close()
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+23
-12
@@ -205,19 +205,30 @@ class TensorMeshIO(object):
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:param simpeg.Mesh.TensorMesh mesh: The mesh
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"""
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assert mesh.dim == 3
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s = ''
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s += '%i %i %i\n' %tuple(mesh.vnC)
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origin = mesh.x0 + np.array([0,0,mesh.hz.sum()]) # Have to it in the same operation or use mesh.x0.copy(), otherwise the mesh.x0 is updated.
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origin.dtype = float
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if mesh.dim ==3:
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s = ''
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s += '%i %i %i\n' %tuple(mesh.vnC)
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origin = mesh.x0 + np.array([0,0,mesh.hz.sum()]) # Have to it in the same operation or use mesh.x0.copy(), otherwise the mesh.x0 is updated.
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origin.dtype = float
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s += '%.2f %.2f %.2f\n' %tuple(origin)
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s += ('%.2f '*mesh.nCx+'\n')%tuple(mesh.hx)
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s += ('%.2f '*mesh.nCy+'\n')%tuple(mesh.hy)
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s += ('%.2f '*mesh.nCz+'\n')%tuple(mesh.hz[::-1])
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f = open(fileName, 'w')
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f.write(s)
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f.close()
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s += '%.2f %.2f %.2f\n' %tuple(origin)
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s += ('%.2f '*mesh.nCx+'\n')%tuple(mesh.hx)
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s += ('%.2f '*mesh.nCy+'\n')%tuple(mesh.hy)
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s += ('%.2f '*mesh.nCz+'\n')%tuple(mesh.hz[::-1])
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f = open(fileName, 'w')
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f.write(s)
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f.close()
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elif mesh.dim==2:
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fid = open(fileName,'w')
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fid.write('%i\n'% mesh.nCx)
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fid.write('%f %f 1\n'% (mesh.vectorNx[0],mesh.vectorNx[1]))
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np.savetxt(fid, np.c_[mesh.vectorNx[2:],np.ones(mesh.nCx-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
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fid.write('\n')
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fid.write('%i\n'% mesh.nCy)
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fid.write('%f %f 1\n'%( 0,mesh.hy[-1]))
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np.savetxt(fid, np.c_[np.cumsum(mesh.hy[-2::-1])+mesh.hy[-1],np.ones(mesh.nCy-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
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fid.close()
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if models is None: return
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assert type(models) is dict, 'models must be a dict'
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