improved text output and fixed some bugs
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				| @ -398,7 +398,8 @@ class SeisArray(object): | ||||
|                 z.append(point[2]) | ||||
|             return min(z) | ||||
| 
 | ||||
|         self.generatePropgrid(nThetaP, nPhiP, nRP, Rbt, cushionpropgrid = 0.05) | ||||
|         self.generatePropgrid(nThetaP, nPhiP, nRP, Rbt, cushionfactor = cushionfactor, | ||||
|                               cushionpropgrid = 0.05) | ||||
|         surface = self.generateVgrid(nThetaI, nPhiI, nRI, Rbt, method = interpolationMethod, | ||||
|                                      cushionfactor = cushionfactor, infilename = customgrid, | ||||
|                                      returnTopo = True) | ||||
| @ -486,7 +487,7 @@ class SeisArray(object): | ||||
|         thetaSN = (theta_min - cushionTheta, theta_max + cushionTheta) | ||||
|         return thetaSN, phiWE | ||||
| 
 | ||||
|     def generatePropgrid(self, nTheta, nPhi, nR, Rbt, cushionpropgrid = 0.05, | ||||
|     def generatePropgrid(self, nTheta, nPhi, nR, Rbt, cushionfactor, cushionpropgrid = 0.05, | ||||
|                          refinement = (5, 5), outfilename = 'propgrid.in'): | ||||
|         ''' | ||||
|         Create a propergation grid file for FMTOMO using SeisArray boundaries | ||||
| @ -503,6 +504,9 @@ class SeisArray(object): | ||||
|         :param: Rbt (bot, top) extensions of the model in m | ||||
|         type: tuple | ||||
| 
 | ||||
|         :param: cushionfactor, add some extra space to the model (default: 0.1 = 10%) | ||||
|         type: float | ||||
| 
 | ||||
|         :param: cushionpropogrid, cushionfactor for the propagationgrid (cushion direction | ||||
|         opposing to vgrids cushionfactor) | ||||
|         type: float | ||||
| @ -519,7 +523,7 @@ class SeisArray(object): | ||||
|         print('Bottom of the grid: %s, top of the grid %s'  | ||||
|               %(Rbt[0], Rbt[1])) | ||||
| 
 | ||||
|         thetaSN, phiWE = self.getThetaPhiFromArray(cushionfactor = 0) | ||||
|         thetaSN, phiWE = self.getThetaPhiFromArray(cushionfactor) | ||||
| 
 | ||||
|         thetaS = thetaSN[0] + cushionpropgrid | ||||
|         thetaN = thetaSN[1] - cushionpropgrid | ||||
|  | ||||
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