initial upload

PyLaGriT/examples/arctic_2D/bottom_peat2.avs

@@ -0,0 +1,101 @@
+       100 0 0 0 0
+0001 0.0000000000000000e+00 0.0000000000000000e+00 5.0716771888730001e+00
+0002 2.5191110372539999e-01 0.0000000000000000e+00 5.0716771888730001e+00
+0003 5.0382220745090001e-01 0.0000000000000000e+00 5.0716771888730001e+00
+0004 7.5573331117630005e-01 0.0000000000000000e+00 5.0718517112730002e+00
+0005 1.0076444149020001e+00 0.0000000000000000e+00 5.0847439575200006e+00
+0006 1.2595554590230000e+00 0.0000000000000000e+00 5.1445377972627231e+00
+0007 1.5114666223530000e+00 0.0000000000000000e+00 5.2030201387405510e+00
+0008 1.7633776664730001e+00 0.0000000000000000e+00 5.2377137947080001e+00
+0009 2.0152888298030001e+00 0.0000000000000000e+00 5.2666477966310001e+00
+0010 2.2671997547150000e+00 0.0000000000000000e+00 5.2951645660400004e+00
+0011 2.5191109180450000e+00 0.0000000000000000e+00 5.3237533378600004e+00
+0012 2.7710220813749999e+00 0.0000000000000000e+00 5.3532504844670008e+00
+0013 3.0229332447049999e+00 0.0000000000000000e+00 5.3852810668950006e+00
+0014 3.2748441696169999e+00 0.0000000000000000e+00 5.4106001663210002e+00
+0015 3.5267553329469998e+00 0.0000000000000000e+00 5.4309906768800005e+00
+0016 3.7786664962769998e+00 0.0000000000000000e+00 5.4567041206360001e+00
+0017 4.0305776596070002e+00 0.0000000000000000e+00 5.4910721588130000e+00
+0018 4.2824888229370002e+00 0.0000000000000000e+00 5.5325851249690006e+00
+0019 4.5343995094300000e+00 0.0000000000000000e+00 5.5765929031370005e+00
+0020 4.7863106727600000e+00 0.0000000000000000e+00 5.5945138740540008e+00
+0021 5.0382218360900000e+00 0.0000000000000000e+00 5.6068677711490000e+00
+0022 5.2901329994199999e+00 0.0000000000000000e+00 5.6192302513120005e+00
+0023 5.5420441627499999e+00 0.0000000000000000e+00 5.6317906188960007e+00
+0024 5.7939553260799999e+00 0.0000000000000000e+00 5.6339607048030000e+00
+0025 6.0458664894099998e+00 0.0000000000000000e+00 5.6332988548280003e+00
+0026 6.2977771759029997e+00 0.0000000000000000e+00 5.6272187042240001e+00
+0027 6.5496883392329996e+00 0.0000000000000000e+00 5.6173095512390008e+00
+0028 6.8015995025629996e+00 0.0000000000000000e+00 5.6057328987120005e+00
+0029 7.0535106658939997e+00 0.0000000000000000e+00 5.5889453697200002e+00
+0030 7.3054218292239996e+00 0.0000000000000000e+00 5.5792808341980002e+00
+0031 7.5573329925539996e+00 0.0000000000000000e+00 5.5792507934570006e+00
+0032 7.8092441558839996e+00 0.0000000000000000e+00 5.5837511825560000e+00
+0033 8.0611553192140004e+00 0.0000000000000000e+00 5.5882530021670007e+00
+0034 8.3130664825440004e+00 0.0000000000000000e+00 5.5927567291260001e+00
+0035 8.5649776458740003e+00 0.0000000000000000e+00 5.5954818534850004e+00
+0036 8.8168878555300001e+00 0.0000000000000000e+00 5.5987152862550005e+00
+0037 9.0687990188600001e+00 0.0000000000000000e+00 5.6090965080260000e+00
+0038 9.3207101821900000e+00 0.0000000000000000e+00 5.6176047134400005e+00
+0039 9.5726213455200000e+00 0.0000000000000000e+00 5.6170592117310001e+00
+0040 9.8245325088500000e+00 0.0000000000000000e+00 5.5915455627440007e+00
+0041 1.0076443672180000e+01 0.0000000000000000e+00 5.5661158370970005e+00
+0042 1.0328354835510000e+01 0.0000000000000000e+00 5.5407099533080002e+00
+0043 1.0580265998840000e+01 0.0000000000000000e+00 5.5318555641170004e+00
+0044 1.0832177162170000e+01 0.0000000000000000e+00 5.5223097610470004e+00
+0045 1.1084088325500000e+01 0.0000000000000000e+00 5.4992298889160001e+00
+0046 1.1335999488830000e+01 0.0000000000000000e+00 5.4565004662170500e+00
+0047 1.1587910652160000e+01 0.0000000000000000e+00 5.3937348570795836e+00
+0048 1.1839821815490000e+01 0.0000000000000000e+00 5.3156963648324993e+00
+0049 1.2091732978820000e+01 0.0000000000000000e+00 5.2597856330870005e+00
+0050 1.2343643188480000e+01 0.0000000000000000e+00 5.2352900314330002e+00
+0051 0.0000000000000000e+00 2.5000000000000000e-01 5.0716771888730001e+00
+0052 2.5191110372539999e-01 2.5000000000000000e-01 5.0716771888730001e+00
+0053 5.0382220745090001e-01 2.5000000000000000e-01 5.0716771888730001e+00
+0054 7.5573331117630005e-01 2.5000000000000000e-01 5.0718517112730002e+00
+0055 1.0076444149020001e+00 2.5000000000000000e-01 5.0847439575200006e+00
+0056 1.2595554590230000e+00 2.5000000000000000e-01 5.1445377972627231e+00
+0057 1.5114666223530000e+00 2.5000000000000000e-01 5.2030201387405510e+00
+0058 1.7633776664730001e+00 2.5000000000000000e-01 5.2377137947080001e+00
+0059 2.0152888298030001e+00 2.5000000000000000e-01 5.2666477966310001e+00
+0060 2.2671997547150000e+00 2.5000000000000000e-01 5.2951645660400004e+00
+0061 2.5191109180450000e+00 2.5000000000000000e-01 5.3237533378600004e+00
+0062 2.7710220813749999e+00 2.5000000000000000e-01 5.3532504844670008e+00
+0063 3.0229332447049999e+00 2.5000000000000000e-01 5.3852810668950006e+00
+0064 3.2748441696169999e+00 2.5000000000000000e-01 5.4106001663210002e+00
+0065 3.5267553329469998e+00 2.5000000000000000e-01 5.4309906768800005e+00
+0066 3.7786664962769998e+00 2.5000000000000000e-01 5.4567041206360001e+00
+0067 4.0305776596070002e+00 2.5000000000000000e-01 5.4910721588130000e+00
+0068 4.2824888229370002e+00 2.5000000000000000e-01 5.5325851249690006e+00
+0069 4.5343995094300000e+00 2.5000000000000000e-01 5.5765929031370005e+00
+0070 4.7863106727600000e+00 2.5000000000000000e-01 5.5945138740540008e+00
+0071 5.0382218360900000e+00 2.5000000000000000e-01 5.6068677711490000e+00
+0072 5.2901329994199999e+00 2.5000000000000000e-01 5.6192302513120005e+00
+0073 5.5420441627499999e+00 2.5000000000000000e-01 5.6317906188960007e+00
+0074 5.7939553260799999e+00 2.5000000000000000e-01 5.6339607048030000e+00
+0075 6.0458664894099998e+00 2.5000000000000000e-01 5.6332988548280003e+00
+0076 6.2977771759029997e+00 2.5000000000000000e-01 5.6272187042240001e+00
+0077 6.5496883392329996e+00 2.5000000000000000e-01 5.6173095512390008e+00
+0078 6.8015995025629996e+00 2.5000000000000000e-01 5.6057328987120005e+00
+0079 7.0535106658939997e+00 2.5000000000000000e-01 5.5889453697200002e+00
+0080 7.3054218292239996e+00 2.5000000000000000e-01 5.5792808341980002e+00
+0081 7.5573329925539996e+00 2.5000000000000000e-01 5.5792507934570006e+00
+0082 7.8092441558839996e+00 2.5000000000000000e-01 5.5837511825560000e+00
+0083 8.0611553192140004e+00 2.5000000000000000e-01 5.5882530021670007e+00
+0084 8.3130664825440004e+00 2.5000000000000000e-01 5.5927567291260001e+00
+0085 8.5649776458740003e+00 2.5000000000000000e-01 5.5954818534850004e+00
+0086 8.8168878555300001e+00 2.5000000000000000e-01 5.5987152862550005e+00
+0087 9.0687990188600001e+00 2.5000000000000000e-01 5.6090965080260000e+00
+0088 9.3207101821900000e+00 2.5000000000000000e-01 5.6176047134400005e+00
+0089 9.5726213455200000e+00 2.5000000000000000e-01 5.6170592117310001e+00
+0090 9.8245325088500000e+00 2.5000000000000000e-01 5.5915455627440007e+00
+0091 1.0076443672180000e+01 2.5000000000000000e-01 5.5661158370970005e+00
+0092 1.0328354835510000e+01 2.5000000000000000e-01 5.5407099533080002e+00
+0093 1.0580265998840000e+01 2.5000000000000000e-01 5.5318555641170004e+00
+0094 1.0832177162170000e+01 2.5000000000000000e-01 5.5223097610470004e+00
+0095 1.1084088325500000e+01 2.5000000000000000e-01 5.4992298889160001e+00
+0096 1.1335999488830000e+01 2.5000000000000000e-01 5.4565004662170500e+00
+0097 1.1587910652160000e+01 2.5000000000000000e-01 5.3937348570795836e+00
+0098 1.1839821815490000e+01 2.5000000000000000e-01 5.3156963648324993e+00
+0099 1.2091732978820000e+01 2.5000000000000000e-01 5.2597856330870005e+00
+0100 1.2343643188480000e+01 2.5000000000000000e-01 5.2352900314330002e+00

PyLaGriT/examples/arctic_2D/mesh_pylagrit.py

@@ -0,0 +1,109 @@
+from pylagrit import PyLaGriT
+import numpy
+
+# Variables
+nx = 50 # Number of points in x direction
+dy = 0.25 # width of cells in y direction
+distance = 12.34364319 # distance in x direction
+
+l = PyLaGriT()
+
+# Create base layer
+layer = l.create_qua()
+layer.createpts_xyz((nx,2,1),[0.,0.,0.],[distance,dy,0.],rz_switch=[1,1,1],connect=True)
+layer.setatt('itetclr',1)
+layer.minmax_xyz()
+
+# Create top of mesh
+# Collapse y values
+layer.addatt('y_save',vtype='vdouble',rank='scalar')
+layer.copyatt('yic','y_save')
+layer.setatt('yic',0.)
+
+# Read in lidar top elevations
+peat_surf_pts = l.read('surface_coords2.avs')
+peat_surf_pts.addatt('z_save',vtype='vdouble',rank='scalar')
+peat_surf_pts.copyatt('zic','z_save')
+peat_surf_pts.setatt('zic',0.)
+
+# Interpolate surface elevations to layer mo
+layer.addatt('z_val',vtype='vdouble',rank='scalar')
+layer.interpolate_voronoi('z_val',peat_surf_pts,'z_save')
+layer.copyatt('y_save','yic')
+layer.copyatt('z_val','zic')
+
+# Save peat top
+layer.setatt('imt',1)
+layer.setatt('itetclr',1)
+layer.dump('tmp_lay_peat_top.inp')
+peat_surf_pts.delete()
+
+# Read in peat bottom elevations
+peat_bot_pts = l.read('bottom_peat2.avs')
+peat_bot_pts.addatt('z_save',vtype='vdouble',rank='scalar')
+peat_bot_pts.copyatt('zic','z_save')
+peat_bot_pts.setatt('zic',0.)
+
+# Interpolate peat bottom elevations to layer mo
+layer.setatt('yic',0.)
+layer.addatt('z_val',vtype='vdouble',rank='scalar')
+layer.interpolate_voronoi('z_val',peat_bot_pts,'z_save')
+layer.copyatt('y_save','yic')
+layer.delatt('y_save')
+layer.copyatt('z_val','zic')
+layer.delatt('z_val')
+
+# Save peat bot
+layer.dump('tmp_lay_peat_bot.inp')
+
+# Copy layer to peat_bot for use in generating additional layers
+peat_bot = layer.copy()
+
+stack_files = ['tmp_lay_peat_top.inp 1,5']
+stack_files.append('tmp_lay_peat_bot.inp 1,33')
+
+# Layer depths?
+#           1   2   3    4    5    6    7   8    9   10
+layers = [ 1.0, 0.16, 0.32, 0.64, 1.28, 3.2, 6.4, 8.0]
+addnum = [   3,    3,    3,    3,    4,   4,   3,   5]
+matnum = [2]*len(layers) 
+
+layer_interfaces = numpy.cumsum(layers)
+i = 1
+for li,m,a in zip(layer_interfaces,matnum,addnum):
+    layer.math('sub','zic',li,cmosrc=peat_bot)
+    stack_files.append('tmp_lay'+str(i)+'.inp '+str(int(m))+', '+str(a))
+    layer.dump('tmp_lay'+str(i)+'.inp')
+    i += 1
+
+layer.setatt('zic',-45.)
+layer.dump('tmp_lay_bot.inp')
+stack_files.append('tmp_lay_bot.inp 2')
+stack_files.reverse()
+
+# Create stacked layer mesh and fill
+stack = l.create()
+stack.stack_layers(stack_files,file_type='avs',flip_opt=True)
+stack_hex = stack.stack_fill()
+
+# Create boundary facesets, dictionary of PyLaGriT faceset objects is returned
+fs = stack_hex.create_boundary_facesets(base_name='faceset_bounds',stacked_layers=True,reorder=True)
+
+# Should add this to PyLaGriT, but I'm feeling lazy ;-)
+stack_hex.sendline('quality volume itetclr')
+
+# Write exo file with boundary facesets
+stack_hex.dump_exo('arctic_siteb_2d.exo',facesets=fs.values())
+
+# Write region and faceset identifier file for ats_xml 
+matnames = {10000:'computational domain peat',
+            20000:'computational domain upper mineral'}
+facenames = {1:'bottom face',
+             2:'surface',
+             3:'front',
+             4:'right',
+             5:'back',
+             6:'left'}
+
+stack_hex.dump_ats_xml('arctic_siteb_2d_mesh.xml','/scratch/tundra/dharp/arctic/geophysics/mesh/from_lucia/arctic_siteb_2d.exo',matnames=matnames,facenames=facenames)
+stack_hex.dump_ats_xml('arctic_siteb_2d_par4_mesh.xml','/scratch/tundra/dharp/arctic/geophysics/mesh/from_lucia/arctic_siteb_2d.par',matnames=matnames,facenames=facenames)

PyLaGriT/examples/arctic_2D/surface_coords2.avs

@@ -0,0 +1,101 @@
+       100 0 0 0 0
+0001 0.0000000000000000e+00 0.0000000000000000e+00 5.2166771888729997e+00
+0002 2.5191110372539999e-01 0.0000000000000000e+00 5.2166771888729997e+00
+0003 5.0382220745090001e-01 0.0000000000000000e+00 5.2166771888729997e+00
+0004 7.5573331117630005e-01 0.0000000000000000e+00 5.2168517112729997e+00
+0005 1.0076444149020001e+00 0.0000000000000000e+00 5.2297439575200002e+00
+0006 1.2595554590230000e+00 0.0000000000000000e+00 5.2605857849120001e+00
+0007 1.5114666223530000e+00 0.0000000000000000e+00 5.2903299331670004e+00
+0008 1.7633776664730001e+00 0.0000000000000000e+00 5.3202137947079997e+00
+0009 2.0152888298030001e+00 0.0000000000000000e+00 5.3491477966309997e+00
+0010 2.2671997547150000e+00 0.0000000000000000e+00 5.3776645660400000e+00
+0011 2.5191109180450000e+00 0.0000000000000000e+00 5.4062533378600000e+00
+0012 2.7710220813749999e+00 0.0000000000000000e+00 5.4357504844670004e+00
+0013 3.0229332447049999e+00 0.0000000000000000e+00 5.4677810668950002e+00
+0014 3.2748441696169999e+00 0.0000000000000000e+00 5.4931001663209997e+00
+0015 3.5267553329469998e+00 0.0000000000000000e+00 5.5134906768800001e+00
+0016 3.7786664962769998e+00 0.0000000000000000e+00 5.5392041206359997e+00
+0017 4.0305776596070002e+00 0.0000000000000000e+00 5.5735721588129996e+00
+0018 4.2824888229370002e+00 0.0000000000000000e+00 5.6150851249690001e+00
+0019 4.5343995094300000e+00 0.0000000000000000e+00 5.6590929031370001e+00
+0020 4.7863106727600000e+00 0.0000000000000000e+00 5.6770138740540004e+00
+0021 5.0382218360900000e+00 0.0000000000000000e+00 5.6893677711489996e+00
+0022 5.2901329994199999e+00 0.0000000000000000e+00 5.7017302513120001e+00
+0023 5.5420441627499999e+00 0.0000000000000000e+00 5.7142906188960003e+00
+0024 5.7939553260799999e+00 0.0000000000000000e+00 5.7164607048029996e+00
+0025 6.0458664894099998e+00 0.0000000000000000e+00 5.7157988548279999e+00
+0026 6.2977771759029997e+00 0.0000000000000000e+00 5.7097187042239996e+00
+0027 6.5496883392329996e+00 0.0000000000000000e+00 5.6998095512390003e+00
+0028 6.8015995025629996e+00 0.0000000000000000e+00 5.6882328987120001e+00
+0029 7.0535106658939997e+00 0.0000000000000000e+00 5.6714453697199998e+00
+0030 7.3054218292239996e+00 0.0000000000000000e+00 5.6617808341979998e+00
+0031 7.5573329925539996e+00 0.0000000000000000e+00 5.6617507934570002e+00
+0032 7.8092441558839996e+00 0.0000000000000000e+00 5.6662511825559996e+00
+0033 8.0611553192140004e+00 0.0000000000000000e+00 5.6707530021670003e+00
+0034 8.3130664825440004e+00 0.0000000000000000e+00 5.6752567291259997e+00
+0035 8.5649776458740003e+00 0.0000000000000000e+00 5.6779818534850000e+00
+0036 8.8168878555300001e+00 0.0000000000000000e+00 5.6812152862550001e+00
+0037 9.0687990188600001e+00 0.0000000000000000e+00 5.6915965080259996e+00
+0038 9.3207101821900000e+00 0.0000000000000000e+00 5.7001047134400000e+00
+0039 9.5726213455200000e+00 0.0000000000000000e+00 5.6995592117309997e+00
+0040 9.8245325088500000e+00 0.0000000000000000e+00 5.6740455627440003e+00
+0041 1.0076443672180000e+01 0.0000000000000000e+00 5.6486158370970001e+00
+0042 1.0328354835510000e+01 0.0000000000000000e+00 5.6232099533079998e+00
+0043 1.0580265998840000e+01 0.0000000000000000e+00 5.6143555641170000e+00
+0044 1.0832177162170000e+01 0.0000000000000000e+00 5.6048097610470000e+00
+0045 1.1084088325500000e+01 0.0000000000000000e+00 5.5817298889159996e+00
+0046 1.1335999488830000e+01 0.0000000000000000e+00 5.5391097068789996e+00
+0047 1.1587910652160000e+01 0.0000000000000000e+00 5.4855241775510004e+00
+0048 1.1839821815490000e+01 0.0000000000000000e+00 5.4387569427490003e+00
+0049 1.2091732978820000e+01 0.0000000000000000e+00 5.4047856330870001e+00
+0050 1.2343643188480000e+01 0.0000000000000000e+00 5.3802900314329998e+00
+0051 0.0000000000000000e+00 2.5000000000000000e-01 5.2166771888729997e+00
+0052 2.5191110372539999e-01 2.5000000000000000e-01 5.2166771888729997e+00
+0053 5.0382220745090001e-01 2.5000000000000000e-01 5.2166771888729997e+00
+0054 7.5573331117630005e-01 2.5000000000000000e-01 5.2168517112729997e+00
+0055 1.0076444149020001e+00 2.5000000000000000e-01 5.2297439575200002e+00
+0056 1.2595554590230000e+00 2.5000000000000000e-01 5.2605857849120001e+00
+0057 1.5114666223530000e+00 2.5000000000000000e-01 5.2903299331670004e+00
+0058 1.7633776664730001e+00 2.5000000000000000e-01 5.3202137947079997e+00
+0059 2.0152888298030001e+00 2.5000000000000000e-01 5.3491477966309997e+00
+0060 2.2671997547150000e+00 2.5000000000000000e-01 5.3776645660400000e+00
+0061 2.5191109180450000e+00 2.5000000000000000e-01 5.4062533378600000e+00
+0062 2.7710220813749999e+00 2.5000000000000000e-01 5.4357504844670004e+00
+0063 3.0229332447049999e+00 2.5000000000000000e-01 5.4677810668950002e+00
+0064 3.2748441696169999e+00 2.5000000000000000e-01 5.4931001663209997e+00
+0065 3.5267553329469998e+00 2.5000000000000000e-01 5.5134906768800001e+00
+0066 3.7786664962769998e+00 2.5000000000000000e-01 5.5392041206359997e+00
+0067 4.0305776596070002e+00 2.5000000000000000e-01 5.5735721588129996e+00
+0068 4.2824888229370002e+00 2.5000000000000000e-01 5.6150851249690001e+00
+0069 4.5343995094300000e+00 2.5000000000000000e-01 5.6590929031370001e+00
+0070 4.7863106727600000e+00 2.5000000000000000e-01 5.6770138740540004e+00
+0071 5.0382218360900000e+00 2.5000000000000000e-01 5.6893677711489996e+00
+0072 5.2901329994199999e+00 2.5000000000000000e-01 5.7017302513120001e+00
+0073 5.5420441627499999e+00 2.5000000000000000e-01 5.7142906188960003e+00
+0074 5.7939553260799999e+00 2.5000000000000000e-01 5.7164607048029996e+00
+0075 6.0458664894099998e+00 2.5000000000000000e-01 5.7157988548279999e+00
+0076 6.2977771759029997e+00 2.5000000000000000e-01 5.7097187042239996e+00
+0077 6.5496883392329996e+00 2.5000000000000000e-01 5.6998095512390003e+00
+0078 6.8015995025629996e+00 2.5000000000000000e-01 5.6882328987120001e+00
+0079 7.0535106658939997e+00 2.5000000000000000e-01 5.6714453697199998e+00
+0080 7.3054218292239996e+00 2.5000000000000000e-01 5.6617808341979998e+00
+0081 7.5573329925539996e+00 2.5000000000000000e-01 5.6617507934570002e+00
+0082 7.8092441558839996e+00 2.5000000000000000e-01 5.6662511825559996e+00
+0083 8.0611553192140004e+00 2.5000000000000000e-01 5.6707530021670003e+00
+0084 8.3130664825440004e+00 2.5000000000000000e-01 5.6752567291259997e+00
+0085 8.5649776458740003e+00 2.5000000000000000e-01 5.6779818534850000e+00
+0086 8.8168878555300001e+00 2.5000000000000000e-01 5.6812152862550001e+00
+0087 9.0687990188600001e+00 2.5000000000000000e-01 5.6915965080259996e+00
+0088 9.3207101821900000e+00 2.5000000000000000e-01 5.7001047134400000e+00
+0089 9.5726213455200000e+00 2.5000000000000000e-01 5.6995592117309997e+00
+0090 9.8245325088500000e+00 2.5000000000000000e-01 5.6740455627440003e+00
+0091 1.0076443672180000e+01 2.5000000000000000e-01 5.6486158370970001e+00
+0092 1.0328354835510000e+01 2.5000000000000000e-01 5.6232099533079998e+00
+0093 1.0580265998840000e+01 2.5000000000000000e-01 5.6143555641170000e+00
+0094 1.0832177162170000e+01 2.5000000000000000e-01 5.6048097610470000e+00
+0095 1.1084088325500000e+01 2.5000000000000000e-01 5.5817298889159996e+00
+0096 1.1335999488830000e+01 2.5000000000000000e-01 5.5391097068789996e+00
+0097 1.1587910652160000e+01 2.5000000000000000e-01 5.4855241775510004e+00
+0098 1.1839821815490000e+01 2.5000000000000000e-01 5.4387569427490003e+00
+0099 1.2091732978820000e+01 2.5000000000000000e-01 5.4047856330870001e+00
+0100 1.2343643188480000e+01 2.5000000000000000e-01 5.3802900314329998e+00

PyLaGriT/examples/arctic_2D_new/Topo_Profile_NS_ERT.csv

@@ -0,0 +1,142 @@
+Distance_m,X,Y,Z
+0,585621.2001,7910271.778,5.380000114
+0.250210394,585621.192,7910272.028,5.389999866
+0.500420788,585621.1839,7910272.278,5.429999828
+0.750631183,585621.1758,7910272.528,5.440000057
+1.000841577,585621.1677,7910272.778,5.440000057
+1.251051971,585621.1596,7910273.028,5.449999809
+1.501262365,585621.1515,7910273.278,5.449999809
+1.75147276,585621.1435,7910273.528,5.460000038
+2.001683154,585621.1354,7910273.779,5.440000057
+2.251893548,585621.1273,7910274.029,5.440000057
+2.502103942,585621.1192,7910274.279,5.449999809
+2.752314336,585621.1111,7910274.529,5.449999809
+3.002524731,585621.103,7910274.779,5.449999809
+3.252735125,585621.0949,7910275.029,5.440000057
+3.502945519,585621.0869,7910275.279,5.460000038
+3.753155913,585621.0788,7910275.529,5.46999979
+4.003366307,585621.0707,7910275.779,5.46999979
+4.253576702,585621.0626,7910276.029,5.480000019
+4.503787096,585621.0545,7910276.279,5.5
+4.75399749,585621.0464,7910276.529,5.510000229
+5.004207884,585621.0383,7910276.78,5.510000229
+5.254418279,585621.0302,7910277.03,5.510000229
+5.504628673,585621.0222,7910277.28,5.519999981
+5.754839067,585621.0141,7910277.53,5.559999943
+6.005049461,585621.006,7910277.78,5.550000191
+6.255259855,585620.9979,7910278.03,5.550000191
+6.50547025,585620.9898,7910278.28,5.570000172
+6.755680644,585620.9817,7910278.53,5.579999924
+7.005891038,585620.9736,7910278.78,5.570000172
+7.256101432,585620.9655,7910279.03,5.559999943
+7.506311826,585620.9575,7910279.28,5.550000191
+7.756522221,585620.9494,7910279.53,5.550000191
+8.006732615,585620.9413,7910279.78,5.510000229
+8.256943009,585620.9332,7910280.031,5.489999771
+8.507153403,585620.9251,7910280.281,5.480000019
+8.757363798,585620.917,7910280.531,5.449999809
+9.007574192,585620.9089,7910280.781,5.400000095
+9.257784586,585620.9009,7910281.031,5.360000134
+9.50799498,585620.8928,7910281.281,5.329999924
+9.758205374,585620.8847,7910281.531,5.309999943
+10.00841577,585620.8766,7910281.781,5.300000191
+10.25862616,585620.8685,7910282.031,5.289999962
+10.50883656,585620.8604,7910282.281,5.289999962
+10.75904695,585620.8523,7910282.531,5.28000021
+11.00925735,585620.8442,7910282.781,5.289999962
+11.25946774,585620.8362,7910283.032,5.300000191
+11.50967813,585620.8281,7910283.282,5.320000172
+11.75988853,585620.82,7910283.532,5.329999924
+12.01009892,585620.8119,7910283.782,5.360000134
+12.26030932,585620.8038,7910284.032,5.400000095
+12.51051971,585620.7957,7910284.282,5.400000095
+12.76073011,585620.7876,7910284.532,5.400000095
+13.0109405,585620.7795,7910284.782,5.380000114
+13.26115089,585620.7715,7910285.032,5.380000114
+13.51136129,585620.7634,7910285.282,5.369999886
+13.76157168,585620.7553,7910285.532,5.340000153
+14.01178208,585620.7472,7910285.782,5.329999924
+14.26199247,585620.7391,7910286.032,5.329999924
+14.51220286,585620.731,7910286.283,5.320000172
+14.76241326,585620.7229,7910286.533,5.320000172
+15.01262365,585620.7148,7910286.783,5.309999943
+15.26283405,585620.7068,7910287.033,5.289999962
+15.51304444,585620.6987,7910287.283,5.309999943
+15.76325484,585620.6906,7910287.533,5.300000191
+16.01346523,585620.6825,7910287.783,5.289999962
+16.26367562,585620.6744,7910288.033,5.300000191
+16.51388602,585620.6663,7910288.283,5.300000191
+16.76409641,585620.6582,7910288.533,5.289999962
+17.01430681,585620.6502,7910288.783,5.300000191
+17.2645172,585620.6421,7910289.033,5.309999943
+17.5147276,585620.634,7910289.284,5.300000191
+17.76493799,585620.6259,7910289.534,5.309999943
+18.01514838,585620.6178,7910289.784,5.329999924
+18.26535878,585620.6097,7910290.034,5.349999905
+18.51556917,585620.6016,7910290.284,5.340000153
+18.76577957,585620.5935,7910290.534,5.340000153
+19.01598996,585620.5855,7910290.784,5.340000153
+19.26620035,585620.5774,7910291.034,5.329999924
+19.51641075,585620.5693,7910291.284,5.329999924
+19.76662114,585620.5612,7910291.534,5.329999924
+20.01683154,585620.5531,7910291.784,5.320000172
+20.26704193,585620.545,7910292.034,5.309999943
+20.51725233,585620.5369,7910292.284,5.28000021
+20.76746272,585620.5288,7910292.535,5.269999981
+21.01767311,585620.5208,7910292.785,5.230000019
+21.26788351,585620.5127,7910293.035,5.230000019
+21.5180939,585620.5046,7910293.285,5.210000038
+21.7683043,585620.4965,7910293.535,5.199999809
+22.01851469,585620.4884,7910293.785,5.199999809
+22.26872509,585620.4803,7910294.035,5.190000057
+22.51893548,585620.4722,7910294.285,5.199999809
+22.76914587,585620.4642,7910294.535,5.199999809
+23.01935627,585620.4561,7910294.785,5.210000038
+23.26956666,585620.448,7910295.035,5.230000019
+23.51977706,585620.4399,7910295.285,5.239999771
+23.76998745,585620.4318,7910295.536,5.25
+24.02019784,585620.4237,7910295.786,5.260000229
+24.27040824,585620.4156,7910296.036,5.269999981
+24.52061863,585620.4075,7910296.286,5.269999981
+24.77082903,585620.3995,7910296.536,5.25
+25.02103942,585620.3914,7910296.786,5.239999771
+25.27124982,585620.3833,7910297.036,5.230000019
+25.52146021,585620.3752,7910297.286,5.21999979
+25.7716706,585620.3671,7910297.536,5.25
+26.021881,585620.359,7910297.786,5.230000019
+26.27209139,585620.3509,7910298.036,5.239999771
+26.52230179,585620.3428,7910298.286,5.25
+26.77251218,585620.3348,7910298.536,5.239999771
+27.02272258,585620.3267,7910298.787,5.239999771
+27.27293297,585620.3186,7910299.037,5.239999771
+27.52314336,585620.3105,7910299.287,5.230000019
+27.77335376,585620.3024,7910299.537,5.239999771
+28.02356415,585620.2943,7910299.787,5.239999771
+28.27377455,585620.2862,7910300.037,5.260000229
+28.52398494,585620.2781,7910300.287,5.25
+28.77419533,585620.2701,7910300.537,5.269999981
+29.02440573,585620.262,7910300.787,5.260000229
+29.27461612,585620.2539,7910301.037,5.269999981
+29.52482652,585620.2458,7910301.287,5.260000229
+29.77503691,585620.2377,7910301.537,5.260000229
+30.02524731,585620.2296,7910301.788,5.260000229
+30.2754577,585620.2215,7910302.038,5.260000229
+30.52566809,585620.2135,7910302.288,5.28000021
+30.77587849,585620.2054,7910302.538,5.289999962
+31.02608888,585620.1973,7910302.788,5.300000191
+31.27629928,585620.1892,7910303.038,5.269999981
+31.52650967,585620.1811,7910303.288,5.289999962
+31.77672007,585620.173,7910303.538,5.269999981
+32.02693046,585620.1649,7910303.788,5.269999981
+32.27714085,585620.1568,7910304.038,5.260000229
+32.52735125,585620.1488,7910304.288,5.269999981
+32.77756164,585620.1407,7910304.538,5.269999981
+33.02777204,585620.1326,7910304.788,5.239999771
+33.27798243,585620.1245,7910305.039,5.25
+33.52819283,585620.1164,7910305.289,5.239999771
+33.77840322,585620.1083,7910305.539,5.230000019
+34.02861361,585620.1002,7910305.789,5.239999771
+34.27882401,585620.0921,7910306.039,5.25
+34.5290344,585620.0841,7910306.289,5.239999771
+34.7792448,585620.076,7910306.539,5.239999771
+35.02945519,585620.0679,7910306.789,5.210000038

PyLaGriT/examples/arctic_2D_new/transect.py

@@ -0,0 +1,118 @@
+from pylagrit import PyLaGriT
+import numpy as np
+
+lg = PyLaGriT()
+
+# Create base layer from x=10 to x=21 to match bert02 mesh
+x = np.linspace(10.,21,(21.-10.)/0.25+1)
+y = [0.,0.25]
+top = lg.gridder(x,y,elem_type='quad',connect=True)
+
+# Create top of mesh
+# Collapse y values
+top.addatt('y_save',vtype='vdouble',rank='scalar')
+top.copyatt('yic','y_save')
+top.setatt('yic',0.)
+
+# Read in top elevations
+d = np.genfromtxt("./Topo_Profile_NS_ERT.csv", delimiter=",", names=True)
+surf_pts = lg.points(x=d['Distance_m'],z=d['Z'],elem_type='quad')
+surf_pts.addatt('z_save',vtype='vdouble',rank='scalar')
+surf_pts.copyatt('zic','z_save')
+surf_pts.setatt('zic',0.)
+
+# Interpolate surface elevations to top
+top.addatt('z_val',vtype='vdouble',rank='scalar')
+top.interpolate_voronoi('z_val',surf_pts,'z_save')
+top.copyatt('y_save','yic')
+top.copyatt('z_val','zic')
+
+# Save top
+top.setatt('imt',1)
+top.setatt('itetclr',1)
+top.dump('tmp_lay_peat_top.inp')
+surf_pts.delete()
+
+# Copy top to create intermediate layers
+layer = top.copy()
+
+# Begin to construct stacked layer arrays
+# Names of layer files
+stack_files = ['tmp_lay_peat_top.inp']
+# Material id, should be same length as length of stack_files
+matids = [1]
+
+# Add (15) 2 cm thick layers
+layer.math('sub',0.02*15,'zic')
+layer.dump('tmp_lay1.inp')
+stack_files.append('tmp_lay1.inp')
+# Number of layers in between surfaces, should be length of stack_files - 1
+nlayers = [14]
+matids.append(1)
+
+# Add (15) 5 cm thick layers
+layer.math('sub',0.05*15,'zic')
+layer.dump('tmp_lay2.inp')
+stack_files.append('tmp_lay2.inp')
+# Number of layers in between surfaces, should be length of stack_files - 1
+nlayers.append(14)
+matids.append(2)
+
+# Add (15) 10 cm thick layers
+layer.math('sub',0.1*15,'zic')
+layer.dump('tmp_lay3.inp')
+stack_files.append('tmp_lay3.inp')
+# Number of layers in between surfaces, should be length of stack_files - 1
+nlayers.append(14)
+matids.append(2)
+
+# Add (15) 1 c thick layers
+layer.math('sub',1*15,'zic')
+layer.dump('tmp_lay3.inp')
+stack_files.append('tmp_lay3.inp')
+# Number of layers in between surfaces, should be length of stack_files - 1
+nlayers.append(14)
+matids.append(2)
+
+layer.math('sub',2.*15.,'zic')
+layer.dump('tmp_lay4.inp')
+stack_files.append('tmp_lay4.inp')
+nlayers.append(14)
+matids.append(2)
+ 
+layer.setatt('zic',-45.)
+layer.dump('tmp_lay_bot.inp')
+stack_files.append('tmp_lay_bot.inp 2')
+nlayers.append(1)
+matids.append(2)
+
+# Create stacked layer mesh and fill
+# Reverse arrays so that order is from bottom to top!!!
+stack_files.reverse()
+nlayers.reverse()
+matids.reverse()
+stack = lg.create()
+stack.stack_layers(stack_files,nlayers=nlayers,matids=matids,flip_opt=True)
+stack_hex = stack.stack_fill()
+
+# Create boundary facesets, dictionary of PyLaGriT faceset objects is returned
+fs = stack_hex.create_boundary_facesets(base_name='faceset_bounds',stacked_layers=True,reorder=True)
+
+# Should add this to PyLaGriT, but I'm feeling lazy ;-)
+stack_hex.sendline('quality volume itetclr')
+
+# Write exo file with boundary facesets
+stack_hex.dump_exo('arctic_siteb_2d.exo',facesets=fs.values())
+
+# Write region and faceset identifier file for ats_xml 
+matnames = {10000:'computational domain peat',
+            20000:'computational domain upper mineral'}
+facenames = {1:'bottom face',
+             2:'surface',
+             3:'front',
+             4:'right',
+             5:'back',
+             6:'left'}
+
+stack_hex.dump_ats_xml('arctic_siteb_2d_mesh.xml','/scratch/tundra/dharp/arctic/geophysics/mesh/from_lucia/arctic_siteb_2d.exo',matnames=matnames,facenames=facenames)
+stack_hex.dump_ats_xml('arctic_siteb_2d_par4_mesh.xml','/scratch/tundra/dharp/arctic/geophysics/mesh/from_lucia/arctic_siteb_2d.par',matnames=matnames,facenames=facenames)

PyLaGriT/examples/arctic_w_ice_wedges/transectNWSE.PY

@@ -0,0 +1,160 @@
+from pylagrit import PyLaGriT
+import numpy as np
+
+lg = PyLaGriT()
+
+# Create base layer, with x matching s from the csv file 
+x = np.linspace(0.,29.75,(29.75-0.)/0.25+1)
+y = [0.,0.25]
+top = lg.gridder(x,y,elem_type='quad',connect=True)
+
+# Create top of mesh
+# Collapse y values
+top.addatt('y_save',vtype='vdouble',rank='scalar')
+top.copyatt('yic','y_save')
+top.setatt('yic',0.)
+
+# Read in top elevations
+d = np.genfromtxt("transectNWSE.csv", delimiter=",", names=True)
+coords = np.column_stack([d['s'],np.zeros_like(d['s']),d['z']])
+surf_pts = lg.points(coords,elem_type='quad')
+surf_pts.addatt('z_save',vtype='vdouble',rank='scalar')
+surf_pts.copyatt('zic','z_save')
+surf_pts.setatt('zic',0.)
+
+# Interpolate surface elevations to top
+top.addatt('z_val',vtype='vdouble',rank='scalar')
+top.interpolate_voronoi('z_val',surf_pts,'z_save')
+top.copyatt('y_save','yic')
+top.copyatt('z_val','zic')
+
+# Save top
+top.setatt('imt',1)
+top.setatt('itetclr',1)
+top.dump('tmp_lay_peat_top.inp')
+surf_pts.delete()
+
+# Copy top to create intermediate layers
+layer = top.copy()
+
+# Begin to construct stacked layer arrays
+# Names of layer files
+stack_files = ['tmp_lay_peat_top.inp']
+# Material id, should be same length as length of stack_files
+matids = [1]
+
+# Add (2) 1 cm thick layers
+layer.math('sub',0.01*2,'zic')
+layer.dump('tmp_lay1.inp')
+stack_files.append('tmp_lay1.inp')
+nlayers = [1]
+matids.append(1)
+
+# Add (6) 2 cm thick layers
+layer.math('sub',0.02*6,'zic')
+layer.dump('tmp_lay2.inp')
+stack_files.append('tmp_lay2.inp')
+nlayers.append(5)
+matids.append(2)
+
+# Add (8) 2 cm thick layers
+layer.math('sub',0.02*8,'zic')
+layer.dump('tmp_lay3.inp')
+stack_files.append('tmp_lay3.inp')
+nlayers.append(7)
+matids.append(3)
+
+# Add (15) 5 cm thick layers
+layer.math('sub',0.05*15,'zic')
+layer.dump('tmp_lay4.inp')
+stack_files.append('tmp_lay4.inp')
+nlayers.append(14)
+matids.append(3)
+
+# Add (15) 10 cm thick layers
+layer.math('sub',0.1*15,'zic')
+layer.dump('tmp_lay5.inp')
+stack_files.append('tmp_lay5.inp')
+nlayers.append(14)
+matids.append(3)
+
+# Add (15) 1 m thick layers
+layer.math('sub',1*15,'zic')
+layer.dump('tmp_lay6.inp')
+stack_files.append('tmp_lay6.inp')
+nlayers.append(14)
+matids.append(3)
+
+# Add (15) 2 m thick layers
+layer.math('sub',2.*15.,'zic')
+layer.dump('tmp_lay7.inp')
+stack_files.append('tmp_lay7.inp')
+nlayers.append(14)
+matids.append(3)
+
+# Add the bottom layer, and make the bottom boundary flat 
+layer.setatt('zic',29.)
+layer.dump('tmp_lay_bot.inp')
+stack_files.append('tmp_lay_bot.inp')
+nlayers.append(0)
+matids.append(3)
+
+# Create stacked layer mesh and fill
+# Reverse arrays so that order is from bottom to top!!!
+stack_files.reverse()
+nlayers.reverse()
+matids.reverse()
+stack = lg.create()
+stack.stack_layers(stack_files,nlayers=nlayers,matids=matids,flip_opt=True)
+stack_hex = stack.stack_fill()
+
+# Define ice wedges
+def iceWedgePoints( vtxL, vtxB, vtxR, dx, dz ):
+    xnodes = np.arange( vtxL[0], vtxR[0], dx )
+    znodes = np.arange( vtxB[1], vtxR[1], dz )
+    xg, zg = np.meshgrid(xnodes, znodes)
+    xg = xg.flatten(); zg = zg.flatten()
+    m1 = (vtxB[1] - vtxL[1])/(vtxB[0] - vtxL[0])
+    b1 = vtxL[1] - m1*vtxL[0]
+    m2 = (vtxR[1] - vtxB[1])/(vtxR[0] - vtxB[0])
+    b2 = vtxR[1] - m2*vtxR[0]
+    idx = [ (zg[i] > m1*xg[i]+b1) & (zg[i] > m2*xg[i]+b2)  for i in range(len(zg)) ]
+    iwx = xg[np.array(idx)]; iwz = zg[np.array(idx)]
+    iwy = np.concatenate( (np.ones(iwx.size)*0.05, np.ones(iwx.size)*0.2) )    
+    iwx = np.tile(iwx, 2); iwz = np.tile(iwz, 2)
+   
+    return iwx, iwy, iwz
+
+iw1x, iw1y, iw1z = iceWedgePoints( [3.25, 78.3], [3.875, 75.0], [4.5, 78.3], 0.125, 0.01 )
+iw1pts = lg.points(np.column_stack([iw1x, iw1y, iw1z]), connect=True)
+iw1 = stack_hex.eltset_object(iw1pts)
+iw1.setatt('itetclr', 4)
+
+iw2x, iw2y, iw2z = iceWedgePoints( [18.5, 78.4], [19.125, 75.1], [19.75,78.4], 0.125, 0.01 )
+iw2pts = lg.points(np.column_stack([iw2x, iw2y, iw2z]), connect=True)
+iw2 = stack_hex.eltset_object(iw2pts)
+iw2.setatt('itetclr', 4)
+
+# Create boundary facesets, dictionary of PyLaGriT faceset objects is returned
+fs = stack_hex.create_boundary_facesets(base_name='faceset_bounds',stacked_layers=True,reorder=True)
+
+# Should add this to PyLaGriT, but I'm feeling lazy ;-)
+stack_hex.sendline('quality volume itetclr')
+
+# Write exo file with boundary facesets
+stack_hex.dump_exo('transectNWSE.exo',facesets=fs.values())
+
+# Write region and faceset identifier file for ats_xml 
+matnames = {10000:'computational domain moss',
+            20000:'computational domain peat',
+            30000:'computational domain mineral',
+            40000:'computational domain ice wedge'}
+facenames = {1:'bottom face',
+             2:'surface',
+             3:'front',
+             4:'right',
+             5:'back',
+             6:'left'}
+
+stack_hex.dump_ats_xml('transectNWSE_mesh.xml','../../mesh/transectNWSE.exo',matnames=matnames,facenames=facenames)
+stack_hex.dump_ats_xml('transectNWSE_parmesh.xml','../../mesh/4/transectNWSE.par',matnames=matnames,facenames=facenames)

PyLaGriT/examples/arctic_w_ice_wedges/transectNWSE.csv

@@ -0,0 +1,121 @@
+s,x,y,z
+0,431503.263849712,7748935.90919019,79.01
+0.25,431503.436233142,7748935.72812679,79.01
+0.5,431503.608616571,7748935.5470634,79.01
+0.75,431503.781,7748935.366,79.01
+1,431503.953383429,7748935.1849366,79.01
+1.25,431504.125766858,7748935.00387321,79.03
+1.5,431504.298150288,7748934.82280981,79.0733333333333
+1.75,431504.470533717,7748934.64174642,79.1166666666667
+2,431504.642917146,7748934.46068302,79.16
+2.25,431504.815300575,7748934.27961962,79.165
+2.5,431504.987684004,7748934.09855623,79.17
+2.75,431505.160067433,7748933.91749283,79.17
+3,431505.332450863,7748933.73642944,79.13
+3.25,431505.504834292,7748933.55536604,79.09
+3.5,431505.677217721,7748933.37430265,79.035
+3.75,431505.84960115,7748933.19323925,78.98
+4,431506.021984579,7748933.01217585,78.97
+4.25,431506.194368009,7748932.83111246,79.03
+4.5,431506.366751438,7748932.65004906,79.09
+4.75,431506.539134867,7748932.46898567,79.12
+5,431506.711518296,7748932.28792227,79.118
+5.25,431506.883901725,7748932.10685887,79.116
+5.5,431507.056285155,7748931.92579548,79.114
+5.75,431507.228668584,7748931.74473208,79.112
+6,431507.401052013,7748931.56366869,79.11
+6.25,431507.573435442,7748931.38260529,79.08
+6.5,431507.745818871,7748931.20154189,79.07
+6.75,431507.918202301,7748931.0204785,79.0661538461538
+7,431508.09058573,7748930.8394151,79.0623076923077
+7.25,431508.262969159,7748930.65835171,79.0584615384615
+7.5,431508.435352588,7748930.47728831,79.0546153846154
+7.75,431508.607736017,7748930.29622491,79.0507692307692
+8,431508.780119446,7748930.11516152,79.0469230769231
+8.25,431508.952502876,7748929.93409812,79.0430769230769
+8.5,431509.124886305,7748929.75303473,79.0392307692308
+8.75,431509.297269734,7748929.57197133,79.0353846153846
+9,431509.469653163,7748929.39090793,79.0315384615385
+9.25,431509.642036592,7748929.20984454,79.0276923076923
+9.5,431509.814420022,7748929.02878114,79.0238461538462
+9.75,431509.986803451,7748928.84771775,79.02
+10,431510.15918688,7748928.66665435,79.0242857142857
+10.25,431510.331570309,7748928.48559096,79.0285714285714
+10.5,431510.503953738,7748928.30452756,79.0328571428571
+10.75,431510.676337168,7748928.12346416,79.0371428571429
+11,431510.848720597,7748927.94240077,79.0414285714286
+11.25,431511.021104026,7748927.76133737,79.0457142857143
+11.5,431511.193487455,7748927.58027398,79.05
+11.75,431511.365870884,7748927.39921058,79.055
+12,431511.538254313,7748927.21814718,79.06
+12.25,431511.710637743,7748927.03708379,79.066
+12.5,431511.883021172,7748926.85602039,79.072
+12.75,431512.055404601,7748926.674957,79.078
+13,431512.22778803,7748926.4938936,79.084
+13.25,431512.400171459,7748926.3128302,79.09
+13.5,431512.572554889,7748926.13176681,79.0925
+13.75,431512.744938318,7748925.95070341,79.095
+14,431512.917321747,7748925.76964002,79.0975
+14.25,431513.089705176,7748925.58857662,79.1
+14.5,431513.262088605,7748925.40751322,79.106
+14.75,431513.434472035,7748925.22644983,79.112
+15,431513.606855464,7748925.04538643,79.118
+15.25,431513.779238893,7748924.86432304,79.124
+15.5,431513.951622322,7748924.68325964,79.13
+15.75,431514.124005751,7748924.50219624,79.135
+16,431514.29638918,7748924.32113285,79.14
+16.25,431514.46877261,7748924.14006945,79.1633333333333
+16.5,431514.641156039,7748923.95900606,79.1866666666667
+16.75,431514.813539468,7748923.77794266,79.21
+17,431514.985922897,7748923.59687927,79.205
+17.25,431515.158306326,7748923.41581587,79.2
+17.5,431515.330689756,7748923.23475247,79.195
+17.75,431515.503073185,7748923.05368908,79.19
+18,431515.675456614,7748922.87262568,79.155
+18.25,431515.847840043,7748922.69156229,79.12
+18.5,431516.020223472,7748922.51049889,79.08
+18.75,431516.192606901,7748922.32943549,79.084
+19,431516.364990331,7748922.1483721,79.088
+19.25,431516.53737376,7748921.9673087,79.092
+19.5,431516.709757189,7748921.78624531,79.096
+19.75,431516.882140618,7748921.60518191,79.1
+20,431517.054524047,7748921.42411851,79.17
+20.25,431517.226907477,7748921.24305512,79.18
+20.5,431517.399290906,7748921.06199172,79.19
+20.75,431517.571674335,7748920.88092833,79.19
+21,431517.744057764,7748920.69986493,79.17
+21.25,431517.916441193,7748920.51880154,79.11
+21.5,431518.088824623,7748920.33773814,79.092
+21.75,431518.261208052,7748920.15667474,79.074
+22,431518.433591481,7748919.97561135,79.056
+22.25,431518.60597491,7748919.79454795,79.038
+22.5,431518.778358339,7748919.61348456,79.02
+22.75,431518.950741768,7748919.43242116,79.01
+23,431519.123125198,7748919.25135776,79.01
+23.25,431519.295508627,7748919.07029437,79.01
+23.5,431519.467892056,7748918.88923097,79.01
+23.75,431519.640275485,7748918.70816758,79.0128571428571
+24,431519.812658914,7748918.52710418,79.0157142857143
+24.25,431519.985042344,7748918.34604078,79.0185714285714
+24.5,431520.157425773,7748918.16497739,79.0214285714286
+24.75,431520.329809202,7748917.98391399,79.0242857142857
+25,431520.502192631,7748917.8028506,79.0271428571428
+25.25,431520.67457606,7748917.6217872,79.03
+25.5,431520.84695949,7748917.4407238,79.0283333333333
+25.75,431521.019342919,7748917.25966041,79.0266666666667
+26,431521.191726348,7748917.07859701,79.025
+26.25,431521.364109777,7748916.89753362,79.0233333333333
+26.5,431521.536493206,7748916.71647022,79.0216666666667
+26.75,431521.708876635,7748916.53540683,79.02
+27,431521.881260065,7748916.35434343,79.0208333333333
+27.25,431522.053643494,7748916.17328003,79.0216666666667
+27.5,431522.226026923,7748915.99221664,79.0225
+27.75,431522.398410352,7748915.81115324,79.0233333333333
+28,431522.570793781,7748915.63008985,79.0241666666667
+28.25,431522.743177211,7748915.44902645,79.025
+28.5,431522.91556064,7748915.26796305,79.0258333333333
+28.75,431523.087944069,7748915.08689966,79.0266666666667
+29,431523.260327498,7748914.90583626,79.0275
+29.25,431523.432710927,7748914.72477287,79.0283333333333
+29.5,431523.605094357,7748914.54370947,79.0291666666667
+29.75,431523.777477786,7748914.36264607,79.03

PyLaGriT/examples/basin_bnd_ply_rescale.inp

@@ -0,0 +1,315 @@
+       103        103          4          0          0
+0001   1.629163645680E+03  1.500000000000E+02  0.000000000000E+00
+0002   1.505357451840E+03  1.732576268400E+02  0.000000000000E+00
+0003   1.378405584840E+03  2.315049068400E+02  0.000000000000E+00
+0004   1.299097005840E+03  2.975517750000E+02  0.000000000000E+00
+0005   1.216650648000E+03  3.636067508400E+02  0.000000000000E+00
+0006   1.127979618840E+03  5.034667911600E+02  0.000000000000E+00
+0007   1.080487069680E+03  5.578803120000E+02  0.000000000000E+00
+0008   1.023543846000E+03  6.394944591600E+02  0.000000000000E+00
+0009   9.380799376800E+02  7.056427800000E+02  0.000000000000E+00
+0010   8.969987498400E+02  7.678358331600E+02  0.000000000000E+00
+0011   8.559549000000E+02  8.416917840000E+02  0.000000000000E+00
+0012   7.928191156800E+02  9.350047800000E+02  0.000000000000E+00
+0013   7.360066816800E+02  1.020568860840E+03  0.000000000000E+00
+0014   7.012528980000E+02  1.040056523160E+03  0.000000000000E+00
+0015   6.822772996800E+02  1.051760706000E+03  0.000000000000E+00
+0016   5.906630760000E+02  1.114128501000E+03  0.000000000000E+00
+0017   4.832497576800E+02  1.168811388840E+03  0.000000000000E+00
+0018   4.200337500000E+02  1.192318326840E+03  0.000000000000E+00
+0019   3.346950840000E+02  1.215917223000E+03  0.000000000000E+00
+0020   2.874212288400E+02  1.262679120840E+03  0.000000000000E+00
+0021   2.528796316800E+02  1.328831388840E+03  0.000000000000E+00
+0022   1.523323448400E+02  1.480687595160E+03  0.000000000000E+00
+0023   1.500000000000E+02  1.674850529160E+03  0.000000000000E+00
+0024   2.076285360000E+02  1.864883667000E+03  0.000000000000E+00
+0025   3.850000380000E+02  2.031183065160E+03  0.000000000000E+00
+0026   4.797506536800E+02  2.054165991000E+03  0.000000000000E+00
+0027   5.808805200000E+02  2.115985770840E+03  0.000000000000E+00
+0028   6.032540896800E+02  2.224651299000E+03  0.000000000000E+00
+0029   6.854176388400E+02  2.294335955160E+03  0.000000000000E+00
+0030   6.888153968400E+02  2.391398753160E+03  0.000000000000E+00
+0031   7.362799958400E+02  2.472830370840E+03  0.000000000000E+00
+0032   7.711536878400E+02  2.565955290000E+03  0.000000000000E+00
+0033   8.217333428400E+02  2.655154385160E+03  0.000000000000E+00
+0034   8.659774860000E+02  2.736612672840E+03  0.000000000000E+00
+0035   9.385625580000E+02  2.837447889000E+03  0.000000000000E+00
+0036   1.036205481840E+03  2.903305506840E+03  0.000000000000E+00
+0037   1.102329799680E+03  2.938179198840E+03  0.000000000000E+00
+0038   1.168365999840E+03  2.922569141160E+03  0.000000000000E+00
+0039   1.215583848000E+03  2.957470890000E+03  0.000000000000E+00
+0040   1.221924693840E+03  3.023491194840E+03  0.000000000000E+00
+0041   1.244014068000E+03  3.108904536840E+03  0.000000000000E+00
+0042   1.344649365840E+03  3.186516797160E+03  0.000000000000E+00
+0043   1.363546447680E+03  3.252519713160E+03  0.000000000000E+00
+0044   1.420114797840E+03  3.310769766840E+03  0.000000000000E+00
+0045   1.476663198840E+03  3.361237301160E+03  0.000000000000E+00
+0046   1.501793059680E+03  3.458329542840E+03  0.000000000000E+00
+0047   1.561435074000E+03  3.516591438000E+03  0.000000000000E+00
+0048   1.621049244840E+03  3.633114054840E+03  0.000000000000E+00
+0049   1.677489685680E+03  3.703056023160E+03  0.000000000000E+00
+0050   1.746456918840E+03  3.761361977160E+03  0.000000000000E+00
+0051   1.846805460840E+03  3.811960301160E+03  0.000000000000E+00
+0052   1.962807906000E+03  3.839313053160E+03  0.000000000000E+00
+0053   2.041204477680E+03  3.851111861160E+03  0.000000000000E+00
+0054   2.147812362000E+03  3.870740981160E+03  0.000000000000E+00
+0055   2.238781171680E+03  3.863198705160E+03  0.000000000000E+00
+0056   2.310986142840E+03  3.832328286840E+03  0.000000000000E+00
+0057   2.401921561680E+03  3.848122260840E+03  0.000000000000E+00
+0058   2.499357739680E+03  3.786309095160E+03  0.000000000000E+00
+0059   2.499755016000E+03  3.669810588000E+03  0.000000000000E+00
+0060   2.452909267680E+03  3.599745831000E+03  0.000000000000E+00
+0061   2.459500704840E+03  3.502691034000E+03  0.000000000000E+00
+0062   2.528920047840E+03  3.401954496840E+03  0.000000000000E+00
+0063   2.595428413680E+03  3.258513849000E+03  0.000000000000E+00
+0064   2.570741274840E+03  3.130267206840E+03  0.000000000000E+00
+0065   2.539757455680E+03  3.005882274000E+03  0.000000000000E+00
+0066   2.596492440000E+03  2.971141932000E+03  0.000000000000E+00
+0067   2.693999346840E+03  2.971519259160E+03  0.000000000000E+00
+0068   2.782309050840E+03  2.917521897000E+03  0.000000000000E+00
+0069   2.904957660000E+03  2.929720755000E+03  0.000000000000E+00
+0070   3.040173279840E+03  2.942047629000E+03  0.000000000000E+00
+0071   3.228648889680E+03  2.989674915000E+03  0.000000000000E+00
+0072   3.367355505840E+03  2.943919863000E+03  0.000000000000E+00
+0073   3.503067187680E+03  2.878771667160E+03  0.000000000000E+00
+0074   3.658071840840E+03  2.763346680840E+03  0.000000000000E+00
+0075   3.744131983680E+03  2.620290081000E+03  0.000000000000E+00
+0076   3.717148557840E+03  2.433678810840E+03  0.000000000000E+00
+0077   3.657978495840E+03  2.336154515160E+03  0.000000000000E+00
+0078   3.570675637680E+03  2.195739738840E+03  0.000000000000E+00
+0079   3.480214944840E+03  2.043674013000E+03  0.000000000000E+00
+0080   3.389615568000E+03  1.899414702840E+03  0.000000000000E+00
+0081   3.365213904840E+03  1.759467825000E+03  0.000000000000E+00
+0082   3.334310095680E+03  1.650547545000E+03  0.000000000000E+00
+0083   3.239648877840E+03  1.626685896000E+03  0.000000000000E+00
+0084   3.170541573840E+03  1.556391777000E+03  0.000000000000E+00
+0085   3.079023468840E+03  1.532598083160E+03  0.000000000000E+00
+0086   3.047910246840E+03  1.435367370840E+03  0.000000000000E+00
+0087   3.054885732000E+03  1.307255358840E+03  0.000000000000E+00
+0088   3.036903537840E+03  1.113009641160E+03  0.000000000000E+00
+0089   3.027883743840E+03  1.019762040000E+03  0.000000000000E+00
+0090   2.958660372000E+03  9.301161690000E+02  0.000000000000E+00
+0091   2.877158238840E+03  7.472305911600E+02  0.000000000000E+00
+0092   2.890286599680E+03  6.463447020000E+02  0.000000000000E+00
+0093   2.839905582840E+03  5.723381190000E+02  0.000000000000E+00
+0094   2.726140644000E+03  4.864353291600E+02  0.000000000000E+00
+0095   2.599552875840E+03  4.160506388400E+02  0.000000000000E+00
+0096   2.510901795840E+03  3.691420560000E+02  0.000000000000E+00
+0097   2.406356676000E+03  3.183449871600E+02  0.000000000000E+00
+0098   2.320820652000E+03  2.715005190000E+02  0.000000000000E+00
+0099   2.209866837840E+03  2.323796828400E+02  0.000000000000E+00
+0100   2.117909958000E+03  1.972339568400E+02  0.000000000000E+00
+0101   2.010027247680E+03  1.737282990000E+02  0.000000000000E+00
+0102   1.873568805840E+03  1.541032328400E+02  0.000000000000E+00
+0103   1.740252090000E+03  1.500773430000E+02  0.000000000000E+00
+0001        1  line   1   2
+0002        1  line   2   3
+0003        1  line   3   4
+0004        1  line   4   5
+0005        1  line   5   6
+0006        1  line   6   7
+0007        1  line   7   8
+0008        1  line   8   9
+0009        1  line   9  10
+0010        1  line  10  11
+0011        1  line  11  12
+0012        1  line  12  13
+0013        1  line  13  14
+0014        1  line  14  15
+0015        1  line  15  16
+0016        1  line  16  17
+0017        1  line  17  18
+0018        1  line  18  19
+0019        1  line  19  20
+0020        1  line  20  21
+0021        1  line  21  22
+0022        1  line  22  23
+0023        1  line  23  24
+0024        1  line  24  25
+0025        1  line  25  26
+0026        1  line  26  27
+0027        1  line  27  28
+0028        1  line  28  29
+0029        1  line  29  30
+0030        1  line  30  31
+0031        1  line  31  32
+0032        1  line  32  33
+0033        1  line  33  34
+0034        1  line  34  35
+0035        1  line  35  36
+0036        1  line  36  37
+0037        1  line  37  38
+0038        1  line  38  39
+0039        1  line  39  40
+0040        1  line  40  41
+0041        1  line  41  42
+0042        1  line  42  43
+0043        1  line  43  44
+0044        1  line  44  45
+0045        1  line  45  46
+0046        1  line  46  47
+0047        1  line  47  48
+0048        1  line  48  49
+0049        1  line  49  50
+0050        1  line  50  51
+0051        1  line  51  52
+0052        1  line  52  53
+0053        1  line  53  54
+0054        1  line  54  55
+0055        1  line  55  56
+0056        1  line  56  57
+0057        1  line  57  58
+0058        1  line  58  59
+0059        1  line  59  60
+0060        1  line  60  61
+0061        1  line  61  62
+0062        1  line  62  63
+0063        1  line  63  64
+0064        1  line  64  65
+0065        1  line  65  66
+0066        1  line  66  67
+0067        1  line  67  68
+0068        1  line  68  69
+0069        1  line  69  70
+0070        1  line  70  71
+0071        1  line  71  72
+0072        1  line  72  73
+0073        1  line  73  74
+0074        1  line  74  75
+0075        1  line  75  76
+0076        1  line  76  77
+0077        1  line  77  78
+0078        1  line  78  79
+0079        1  line  79  80
+0080        1  line  80  81
+0081        1  line  81  82
+0082        1  line  82  83
+0083        1  line  83  84
+0084        1  line  84  85
+0085        1  line  85  86
+0086        1  line  86  87
+0087        1  line  87  88
+0088        1  line  88  89
+0089        1  line  89  90
+0090        1  line  90  91
+0091        1  line  91  92
+0092        1  line  92  93
+0093        1  line  93  94
+0094        1  line  94  95
+0095        1  line  95  96
+0096        1  line  96  97
+0097        1  line  97  98
+0098        1  line  98  99
+0099        1  line  99 100
+0100        1  line 100 101
+0101        1  line 101 102
+0102        1  line 102 103
+0103        1  line 103   1
+00004  1  1  1  1
+imt1, integer 
+itp1, integer 
+icr1, integer 
+isn1, integer 
+0000000001  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000002  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000003  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000004  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000005  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000006  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000007  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000008  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000009  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000010  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000011  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000012  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000013  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000014  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000015  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000016  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000017  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000018  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000019  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000020  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000021  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000022  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000023  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000024  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000025  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000026  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000027  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000028  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000029  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000030  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000031  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000032  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000033  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000034  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000035  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000036  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000037  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000038  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000039  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000040  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000041  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000042  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000043  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000044  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000045  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000046  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000047  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000048  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000049  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000050  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000051  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000052  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000053  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000054  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000055  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000056  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000057  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000058  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000059  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000060  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000061  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000062  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000063  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000064  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000065  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000066  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000067  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000068  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000069  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000070  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000071  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000072  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000073  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000074  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000075  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000076  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000077  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000078  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000079  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000080  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000081  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000082  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000083  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000084  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000085  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000086  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000087  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000088  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000089  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000090  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000091  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000092  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000093  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000094  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000095  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000096  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000097  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000098  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000099  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000100  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000101  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000102  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00
+0000000103  1.000000000000E+00  0.000000000000E+00  0.000000000000E+00  0.000000000000E+00

PyLaGriT/examples/create_exo.py

@@ -0,0 +1,8 @@
+from pylagrit import PyLaGriT
+l = PyLaGriT()
+m = l.create()
+m.createpts_xyz((3,3,3),(0.,0.,0.),(1.,1.,1.),rz_switch=[1,1,1],connect=True)
+m.status ()
+m.status (brief=True)
+fs = m.create_boundary_facesets(base_name='faceset_bounds')
+m.dump_exo('cube.exo',facesets=fs.values())

PyLaGriT/examples/createpts_dxyz.py

@@ -0,0 +1,28 @@
+from pylagrit import PyLaGriT
+l = PyLaGriT()
+
+# Create 2x2x2 cell mesh
+m = l.create()
+m.createpts_dxyz((0.5,0.5,0.5),(0.,0.,0.),(1.,1.,1.),rz_switch=[1,1,1],connect=True)
+m.paraview()
+#m.gmv()
+
+# Create 2x2x2 mesh where maxs will be truncated to nearest value under given maxs
+m_under = l.create()
+m_under.createpts_dxyz((0.4,0.4,0.4),(0.,0.,0.),(1.,1.,1.),rz_switch=[1,1,1],connect=True)
+m_under.paraview()
+#m_under.gmv()
+
+# Create 3x3x3 mesh where maxs will be truncated to nearest value over given maxs
+m_over = l.create()
+m_over.createpts_dxyz((0.4,0.4,0.4),(0.,0.,0.),(1.,1.,1.),clip='over',rz_switch=[1,1,1],connect=True)
+m_over.paraview()
+#m_over.gmv()
+
+# Create 3x3x3 mesh where x and y maxs will be truncated to nearest value over given maxs
+# and z min will be truncated  to nearest value 
+m_mixed = l.create()
+m_mixed.createpts_dxyz((0.4,0.4,0.4),(0.,0.,-1.),(1.,1.,0.),hard_bound=('min','min','max'),clip=('under','under','over'),rz_switch=[1,1,1],connect=True)
+m_mixed.paraview()
+#m_over.gmv()
+

PyLaGriT/examples/ex_convert_files.py

@@ -0,0 +1,17 @@
+#To use pylagrit, import the module.
+import pylagrit
+
+#Create your pylagrit session.
+lg = pylagrit.PyLaGriT()
+
+#Create a mesh object and dump it to a gmv file 'test.gmv'.
+mo = lg.create(name='test')
+mo.createpts_brick_xyz((5,5,5), (0,0,0), (5,5,5,))
+mo.dump('gmv', 'test.gmv')
+
+#Convert test.gmv to exoduce and contour files.
+lg.convert('test.gmv', 'exo')
+lg.convert('test.gmv', 'avs')
+
+
+

PyLaGriT/examples/ex_gridder.py

@@ -0,0 +1,13 @@
+from pylagrit import PyLaGriT
+import numpy
+
+lg = PyLaGriT()
+
+x0 = -numpy.logspace(1,2,15,endpoint=True)
+x1 = numpy.arange(-10,10,1)
+x2 = -x0
+x = numpy.concatenate([x0,x1,x2])
+y = x
+mqua = lg.gridder(x,y,elem_type='quad',connect=True)
+
+mqua.paraview()

PyLaGriT/examples/ex_merge_mesh_objects.py

@@ -0,0 +1,30 @@
+################################################################################
+# This example shows how to merge multiple mesh objects together.              #
+################################################################################
+
+#To use pylagrit, import the module.
+import pylagrit
+import numpy
+
+#Instantiate the lagrit object.
+lg = pylagrit.PyLaGriT()
+
+# Create list with mesh object as first element
+dxyz = numpy.array([0.25]*3)
+mins = numpy.array([0.]*3)
+maxs = numpy.array([1.]*3)
+ms = [lg.createpts_dxyz(dxyz,mins,maxs,'tet',connect=True)]
+
+# Create three new mesh objects, each one directly above the other
+for i in range(3):
+    ms.append(ms[-1].copy())
+    ms[-1].trans(ms[-1].mins,ms[-1].mins+numpy.array([0.,0.,1.]))
+
+# Merge list of mesh objects and clean up
+mo_merge = lg.merge(ms)
+for mo in ms: mo.delete()
+mo_merge.rmpoint_compress(filter_bool=True,resetpts_itp=True)
+
+mo_merge.paraview(filename='mo_merge.inp')
+
+

PyLaGriT/examples/ex_read_lagrit_binary_mos.py

@@ -0,0 +1,28 @@
+#To use pylagrit, import the module.
+import pylagrit
+import numpy
+
+#Instantiate the lagrit object.
+lg = pylagrit.PyLaGriT()
+
+# Create list with mesh object as first element
+dxyz = numpy.array([0.25]*3)
+mins = numpy.array([0.]*3)
+maxs = numpy.array([1.]*3)
+ms = [lg.createpts_dxyz(dxyz,mins,maxs,'tet',connect=True,name='testmo')]
+
+# Create three new mesh objects, each one directly above the other
+for i in range(3):
+    ms.append(ms[-1].copy())
+    ms[-1].trans(ms[-1].mins,ms[-1].mins+numpy.array([0.,0.,1.]))
+
+lg.dump('lagrit_binary.lg')
+lg.close()
+
+lg = pylagrit.PyLaGriT()
+ms_read = lg.read('lagrit_binary.lg')
+
+print('Name of mesh object read in should be testmo, is: ', ms_read.name)
+
+
+

PyLaGriT/examples/ex_read_mesh.py

@@ -0,0 +1,18 @@
+#To use pylagrit, import the module.
+import pylagrit
+
+#Create your pylagrit session.
+lg = pylagrit.PyLaGriT()
+
+#Create a mesh object and dump it to a gmv file 'test.gmv'.
+mo = lg.create(name='test')
+mo.createpts_brick_xyz((5,5,5), (0,0,0), (5,5,5,))
+mo.dump('test.gmv')
+mo.dump('test.avs')
+mo.dump('test.lg')
+
+mo1 = lg.read('test.gmv')
+mo2 = lg.read('test.avs')
+mo3 = lg.read('test.lg',name='test')
+
+

PyLaGriT/examples/ex_refine_edge.py

@@ -0,0 +1,42 @@
+from pylagrit import PyLaGriT
+import numpy
+import sys
+
+df = 0.0005 # Fault half aperture
+lr = 7 # Levels of refinement
+nx = 4 # Number of base mesh blocks in x direction
+nz = 20 # Number of base mesh blocks in z direction
+d_base = df*2**(lr+1) # Calculated dimension of base block
+w = d_base*nx # Calculated width of model
+d = d_base*nz # Calculated depth of model
+
+lg = PyLaGriT()
+
+# Create discrete fracture mesh
+dxyz = numpy.array([d_base,d_base,0.])
+mins = numpy.array([0.,-d,0.])
+maxs = numpy.array([w,0,0])
+mqua = lg.createpts_dxyz(dxyz,mins,maxs,'quad',hard_bound=('min','max','min'),connect=True)
+
+for i in range(lr):
+    prefine = mqua.pset_geom_xyz(mins-0.1,(0.0001,0.1,0))
+    erefine = prefine.eltset()
+    erefine.refine()
+    prefine.delete()
+    erefine.delete()
+
+mtri = mqua.copypts('triplane')
+mtri.connect()
+# Make sure that not nodes are lost during connect
+if 'The mesh is complete but could not include all points.' in str(lg.before):
+    print("Error: Lost some points during connect, not completing mesh and exiting workflow!\n")
+    sys.exit()
+mtri.tri_mesh_output_prep()
+mtri.reorder_nodes(cycle='xic yic zic')
+pfault = mtri.pset_geom_xyz(mins-0.1,(0.0001,0.1,0))
+psource = mtri.pset_geom_xyz(mins-0.1,mins+0.0001)
+mtri.setatt('imt',1)
+pfault.setatt('imt',10)
+psource.setatt('imt',20)
+
+mtri.paraview(filename='discrete_fracture.inp')

PyLaGriT/examples/ex_rotate.py

@@ -0,0 +1,16 @@
+from pylagrit import PyLaGriT
+import numpy
+
+x = numpy.arange(0,10.1,1)
+y = x
+z = [0,1]
+
+lg = PyLaGriT()
+mqua = lg.gridder(x,y,z,elem_type='hex',connect=True)
+
+mqua.rotateln([mqua.xmin-0.1,0,0],[mqua.xmax+0.1,0,0],25)
+
+mqua.dump_exo('rotated.exo')
+mqua.dump_ats_xml('rotated.xml','rotated.exo')
+
+mqua.paraview()

PyLaGriT/examples/ex_rotate_stack.py

@@ -0,0 +1,47 @@
+from pylagrit import PyLaGriT
+import numpy
+
+x = numpy.arange(0,10.1,1)
+y = [0,1]
+#z = [0,1]
+
+lg = PyLaGriT()
+layer = lg.gridder(x=x,y=y,elem_type='quad',connect=True)
+layer.rotateln([0,layer.ymin-0.10,0],[0,layer.ymax+0.1,0],25)
+layer.dump('tmp_lay_top.inp')
+
+# Layer depths?
+#           1   2   3    4    5    6    7   8    9   10
+layers = [ .1, 1.]
+addnum = [  4, 2]
+#matnum = [2]*len(layers)
+matnum = [2, 1]
+layer_interfaces = numpy.cumsum(layers)
+
+mtop = layer.copy()
+stack_files = ['tmp_lay_top.inp 1,9']
+#stack_files.append('tmp_lay_peat_bot.inp 1,33')
+
+i = 1
+for li,m,a in zip(layer_interfaces,matnum,addnum):
+    layer.math('sub','zic',value=li,cmosrc=mtop)
+    stack_files.append('tmp_lay'+str(i)+'.inp '+str(int(m))+', '+str(a))
+    layer.dump('tmp_lay'+str(i)+'.inp')
+    i += 1
+
+layer.math('sub','zic',2,cmosrc=mtop)
+#layer.setatt('zic',-2.)
+layer.dump('tmp_lay_bot.inp')
+stack_files.append('tmp_lay_bot.inp 2')
+stack_files.reverse()
+
+# Create stacked layer mesh and fill
+stack = lg.create()
+stack.stack_layers(stack_files,file_type='avs',flip_opt=True)
+stack_hex = stack.stack_fill()
+
+
+stack_hex.dump_exo('rotated.exo')
+stack_hex.dump_ats_xml('rotated.xml','rotated.exo')
+
+stack_hex.paraview()

PyLaGriT/examples/ex_select_subset.py

@@ -0,0 +1,15 @@
+#To use pylagrit, import the module.
+import pylagrit
+
+#Start the lagrit session.
+lg = pylagrit.PyLaGriT()
+
+#Create a mesh object.
+mo = lg.create()
+mo.createpts_brick_xyz((5,5,5), (0,0,0), (5,5,5))
+
+#Take the subset from (3,3,3)
+mo.subset((3,3,3),(5,5,5))
+
+
+

PyLaGriT/examples/ex_triangulate.py

@@ -0,0 +1,41 @@
+from pylagrit import PyLaGriT
+
+# Create pylagrit object
+lg = PyLaGriT()
+
+# Define polygon points in clockwise direction
+# and create tri mesh object
+coords = [[0.0, 0.0, 0.0], 
+          [0.0, 1000.0, 0.0], 
+          [2200.0, 200.0, 0.0], 
+          [2200.0, 0.0, 0.0]]
+motri = lg.tri_mo_from_polyline(coords)
+
+# Triangulate polygon
+motri.triangulate()
+motri.setatt('imt',1)
+motri.setatt('itetclr',1)
+
+# refine mesh with successively smaller edge length constraints
+edge_length = [1000,500,250,125,75,40,20,15]
+for i,l in enumerate(edge_length):
+    motri.resetpts_itp()
+    motri.refine(refine_option='rivara',refine_type='edge',values=[l],inclusive_flag='inclusive')
+    motri.smooth()
+    motri.recon(0)
+
+# provide additional smoothing after the last refine
+for i in range(5):
+    motri.smooth()
+    motri.recon(0)
+
+# create delaunay mesh and clean up
+motri.tri_mesh_output_prep()
+
+# dump fehm files
+motri.dump_fehm('nk_mesh00')
+
+# view results
+motri.paraview()
+
+

PyLaGriT/examples/ideas_mesh/dem0.5m.dat

@@ -0,0 +1,38 @@
+ ncols         160
+ nrows          32
+ xllcorner 0.0
+ yllcorner 0.0
+ cellsize 0.5
+ NODATA_value -9999
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.67578006       3.68144989       3.68711996       3.69248009       3.70193005       3.71139002       3.72045994       3.72463012       3.72571993       3.72680998       3.72736001       3.72216010       3.71445990       3.70704007       3.69990993       3.69770002       3.69538999       3.69307995       3.69259000       3.69402003       3.69736004       3.70071006       3.70419002       3.70565009       3.71426010       3.72584009       3.73499990       3.73781991       3.73324990       3.72867990       3.72610998       3.71973991       3.70866990       3.69759011       3.68889999       3.67723989       3.67195010       3.66666007       3.66304994       3.66676998       3.67002010       3.67326999       3.67732000       3.68808007      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.80152011       3.81911993       3.83673000       3.83797002       3.81517005       3.79237008       3.76943994       3.74967003       3.73159003       3.71310997       3.69426990       3.69110990       3.70169997       3.70654011       3.71008992       3.71265006       3.71826005       3.72740006       3.73315001       3.73889995       3.74063993       3.74092007       3.74107003       3.73696995       3.72748995       3.71965003       3.71497989       3.71276999       3.71054006       3.71019006       3.71073008       3.71127009       3.71427011       3.71776009       3.72124004       3.72307992       3.72341990       3.73109007       3.73631001       3.73947001       3.74030995       3.73793006       3.73568010       3.73297000       3.72312999       3.71462989       3.70613003       3.69215012       3.67993999       3.67463994       3.67669010       3.68144989       3.68470001       3.69039011       3.69951010       3.70972991       3.72053003       3.72772002       3.73278999       3.73739004       3.73105001       3.72470999       3.71394992       3.70319009       3.69095993       3.67872000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.75475001       3.74907994       3.74724007       3.75851989       3.76999998       3.78148007       3.80120993       3.81920004       3.83546996       3.83880997       3.83655000       3.83053994       3.80749989       3.78425002       3.76565003       3.74860001       3.73019004       3.71093988       3.70831990       3.71953011       3.72837996       3.73249006       3.73286009       3.73133993       3.73551989       3.74054003       3.74421000       3.73726010       3.73628998       3.73530006       3.73233008       3.72877002       3.72726011       3.72456002       3.71945000       3.71072006       3.70832992       3.70797992       3.70799994       3.70991993       3.71309996       3.71493006       3.71777010       3.72303009       3.72380996       3.72325993       3.72297001       3.71752000       3.71604991       3.71501994       3.72231007       3.71914005       3.71275997       3.70576000       3.69827008       3.69089007       3.68551993       3.68823004       3.68945003       3.69720006       3.71041989       3.72168994       3.73023009       3.73304009       3.73585010       3.74305010       3.75445008       3.74754000       3.73182988       3.72687006       3.72262001       3.71024990       3.69779992       3.68760991       3.68583989       3.68603992       3.68623996       3.68857002       3.70222998       3.71672010       3.73120999       3.74965000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.84483004       3.82737994       3.80970001       3.79201007       3.77605009       3.76996994       3.76430988       3.75865006       3.76278996       3.76799989       3.77947998       3.79763007       3.81759000       3.83240008       3.83574009       3.83877993       3.83465004       3.82170010       3.80574012       3.78974009       3.76957011       3.74766994       3.73929000       3.72761011       3.72497010       3.73044991       3.73018003       3.72920990       3.72807002       3.73006010       3.73337007       3.73451996       3.72147989       3.71216989       3.71082997       3.70819998       3.70526004       3.70721006       3.72006989       3.72303009       3.71444011       3.70405006       3.69823003       3.69833994       3.69854999       3.69981003       3.70095992       3.70166993       3.70431995       3.70296001       3.70022988       3.69894004       3.69344997       3.68783998       3.68524003       3.69456005       3.70389009       3.70372009       3.69616008       3.68835998       3.68086004       3.66948009       3.65727997       3.65849996       3.66400003       3.67234993       3.68558002       3.70854998       3.72836995       3.73825002       3.74397993       3.75030994       3.75149012       3.75268006       3.74242997       3.74024010       3.73833990       3.72913003       3.71856999       3.70839000       3.70251012       3.70272994       3.70296001       3.70512009       3.71431994       3.72881007       3.74329996       3.75938010       3.78412008       3.81211996       3.83978009       3.84027004       3.81645012       3.79262996      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.83932996       3.84543991       3.85101008       3.85288000       3.85454988       3.85622001       3.84951997       3.83727002       3.81914997       3.79843998       3.78639007       3.77981997       3.77386999       3.77338004       3.77833009       3.78106999       3.78139997       3.79317999       3.80497003       3.81606007       3.82676005       3.82799006       3.81890011       3.80594993       3.79092002       3.77712011       3.76289010       3.74897003       3.73572993       3.71506000       3.70686007       3.71353006       3.72019005       3.72465992       3.72459006       3.72450995       3.72078991       3.70703006       3.69325995       3.67790008       3.67572999       3.67355990       3.67404008       3.68452001       3.69498992       3.69983006       3.68459010       3.66935992       3.66138005       3.66049004       3.65925002       3.65031004       3.65305996       3.65660000       3.66278005       3.66018009       3.65646005       3.64398003       3.63676000       3.63051009       3.63262010       3.64412999       3.65461993       3.65681005       3.65550995       3.65432000       3.64860010       3.63779998       3.62700009       3.63130999       3.63856006       3.64884996       3.67771006       3.70602012       3.72287989       3.72136998       3.72033000       3.72430992       3.72708988       3.73081994       3.73868990       3.73874998       3.73880005       3.73895001       3.72669005       3.71443009       3.71075010       3.71641994       3.71967006       3.72166991       3.73036003       3.74090004       3.75572991       3.77231002       3.79060006       3.81859994       3.82610011       3.83335996       3.81135011       3.78752995       3.76637006       3.74129009       3.71227002       3.68324995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.86736989       3.86121011       3.85506010       3.84818006       3.84769011       3.85254002       3.85864997       3.86238003       3.86444998       3.86631989       3.86247993       3.85421991       3.84087992       3.82542992       3.80471992       3.79673004       3.79015994       3.77809000       3.77683997       3.77344990       3.77006006       3.77248001       3.77536011       3.78709006       3.79576993       3.78979993       3.78384995       3.77846003       3.77220988       3.76046991       3.74562001       3.72862005       3.70879006       3.68811989       3.67012000       3.65400004       3.66066003       3.67014003       3.68241000       3.68261003       3.67899990       3.67079997       3.65762997       3.63877010       3.61507010       3.61142993       3.60759997       3.60298991       3.61347008       3.62543011       3.63770008       3.62348008       3.61452007       3.60556006       3.60156012       3.58922005       3.57914996       3.58474994       3.59417009       3.60341001       3.59706998       3.58220005       3.56778002       3.56225991       3.55965996       3.55856991       3.56744003       3.57216001       3.57540011       3.57582998       3.58027005       3.57809997       3.56626010       3.55039001       3.54918003       3.56043005       3.58261991       3.61700010       3.65219998       3.67553997       3.67195010       3.67770004       3.68289995       3.68735003       3.70151997       3.71329999       3.71360993       3.72293997       3.72909999       3.71759009       3.71143007       3.70922995       3.71491003       3.70912004       3.71685004       3.73411989       3.75139999       3.76706004       3.78134990       3.79563999       3.80314994       3.81237006       3.81968999       3.80735993       3.78697991       3.76659989       3.74144006       3.71240997       3.68495989       3.66026998       3.64368010       3.63051009       3.61734009      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.89148998       3.89094996       3.89039993       3.88625002       3.88541007       3.88337994       3.87669992       3.86895990       3.86753011       3.86938000       3.87169003       3.87061000       3.86846995       3.86495996       3.85380006       3.84047008       3.82696009       3.81323004       3.79317999       3.77918005       3.76567006       3.75014997       3.75275993       3.75819993       3.76130009       3.76157999       3.76128006       3.75429010       3.75037003       3.74575996       3.73977995       3.73312998       3.72560000       3.71655989       3.69926000       3.68013000       3.66101003       3.64264989       3.62540007       3.60815001       3.61177993       3.62404990       3.63632989       3.63637996       3.62818003       3.61999011       3.60210991       3.57824993       3.55404997       3.54116988       3.53291011       3.52464008       3.53134990       3.54004002       3.54916000       3.54589009       3.53334999       3.52151990       3.50992990       3.49809003       3.48659992       3.49175000       3.50040007       3.50220990       3.49877000       3.48397994       3.47112012       3.46631002       3.46374011       3.45865011       3.46291995       3.47037005       3.47888994       3.48736000       3.49471998       3.49957991       3.48582006       3.47205997       3.47326994       3.49546003       3.51764989       3.54830003       3.58256006       3.61666989       3.62361002       3.62314010       3.62450004       3.64002991       3.65531993       3.67551994       3.68751001       3.69630003       3.71184993       3.70770001       3.70138001       3.68994999       3.67933011       3.68050003       3.69672990       3.71392012       3.73313999       3.75205994       3.76635003       3.77062011       3.77536988       3.78459001       3.79060006       3.78457999       3.77070999       3.75682998       3.74390006       3.71706009       3.69021010       3.67088008       3.65228009       3.63911009       3.62485003       3.61774993       3.62479997       3.63304996       3.64128995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.91897011       3.91734004       3.91564989       3.91070008       3.90890002       3.90537000       3.89898992       3.89848995       3.89496994       3.88835001       3.88371992       3.87594008       3.86880994       3.86197996       3.85662007       3.85448003       3.84709001       3.83798003       3.82667994       3.81138992       3.78996992       3.76855993       3.75324011       3.73773003       3.72219992       3.72299004       3.72504997       3.72478008       3.72447991       3.71615005       3.69835997       3.69279003       3.68886995       3.66961002       3.65637994       3.65202999       3.64646006       3.63090992       3.60939002       3.58377004       3.55318999       3.53278995       3.51514006       3.50966001       3.52357006       3.52746010       3.52312994       3.51331997       3.50907993       3.49840999       3.47226000       3.43950009       3.41451001       3.39230990       3.38918996       3.39920998       3.40882993       3.42295003       3.43048000       3.41922998       3.40806007       3.39678001       3.38532996       3.37387991       3.36535001       3.36518002       3.36500001       3.36306000       3.36101007       3.35650992       3.35034990       3.34367990       3.33625007       3.33308005       3.34089994       3.34985995       3.36021996       3.36999011       3.37290001       3.37551999       3.36998010       3.36963010       3.38595009       3.40991998       3.43614006       3.46811008       3.49664998       3.51781011       3.51733994       3.53084993       3.54676008       3.56861997       3.60562992       3.62623000       3.64337993       3.67391992       3.67894006       3.66645002       3.65103006       3.64423990       3.66047001       3.67670989       3.69560003       3.71636009       3.73705006       3.74346995       3.74463010       3.74759007       3.75313997       3.75570011       3.75154996       3.73904991       3.73655009       3.72534990       3.70809007       3.69390988       3.67389011       3.65700006       3.64512992       3.63065004       3.63471007       3.64082003       3.64907002       3.65759993       3.66779995       3.68292999       3.69984007       3.71674991      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.96134996       3.95738006       3.94882989       3.94186997       3.94024992       3.93705010       3.93210006       3.92044997       3.91747999       3.91173005       3.90453005       3.89402008       3.88614011       3.87739992       3.86624002       3.85829997       3.85170007       3.84509993       3.83834004       3.82486010       3.80995989       3.79456997       3.77512002       3.75490999       3.73469996       3.71450996       3.70131993       3.68811989       3.68461990       3.68793988       3.68766999       3.68007994       3.66229010       3.64450002       3.63154006       3.60963011       3.58772993       3.57482004       3.56286001       3.55550003       3.54611993       3.52928996       3.49631000       3.46334004       3.43742990       3.42307997       3.40873003       3.40896010       3.40697002       3.40528011       3.40104008       3.39703989       3.39058995       3.36100006       3.32850003       3.29922009       3.27646995       3.26851010       3.27813005       3.28823996       3.29929996       3.30942011       3.31068993       3.29935002       3.28445005       3.26922011       3.25873995       3.25433993       3.25537992       3.25510001       3.25417995       3.25154996       3.24985003       3.24581003       3.23924994       3.22865009       3.21583009       3.21817994       3.23401999       3.24770999       3.26373005       3.27066994       3.27309990       3.27740002       3.27682996       3.27629995       3.29735994       3.32015991       3.34812999       3.37898993       3.40105009       3.41995001       3.43613005       3.45297003       3.49007010       3.52716994       3.55950999       3.58792996       3.61633992       3.62259007       3.59508991       3.57080007       3.58136010       3.59255004       3.61026001       3.63514996       3.66008997       3.68619990       3.69404006       3.69736004       3.70319009       3.70960999       3.71602011       3.72252011       3.72059989       3.71810007       3.70684004       3.69686007       3.68688011       3.66866994       3.65933990       3.65001988       3.64557004       3.65167999       3.65777993       3.66564012       3.67584991       3.68604994       3.69929004       3.71620011       3.72909999       3.73616004       3.72404003       3.71116996      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.99785995       3.99517012       3.99880004       3.99745989       3.99348998       3.98220992       3.96989012       3.96315002       3.95271993       3.93304992       3.91698003       3.91401005       3.89949012       3.89029002       3.88442993       3.87418008       3.86164999       3.84911990       3.83210993       3.82001996       3.80735993       3.78664994       3.77115989       3.75601006       3.73972011       3.72182012       3.70161009       3.67217994       3.64650011       3.63331008       3.60981989       3.59527993       3.60000992       3.60128999       3.59573007       3.57903004       3.55596995       3.52982998       3.50903010       3.48448992       3.46485996       3.45281005       3.44432998       3.43421006       3.42225003       3.39684010       3.36373997       3.33644009       3.31160998       3.29777002       3.29331994       3.29272008       3.29103994       3.28575993       3.28058004       3.27243996       3.25517011       3.22375011       3.19127989       3.16512990       3.15984988       3.16694999       3.17704010       3.18847990       3.19673991       3.20000005       3.19608998       3.18860006       3.17617989       3.16468000       3.15305996       3.15208006       3.15162992       3.15229011       3.15069008       3.14933991       3.14877009       3.14389992       3.13471007       3.12597990       3.12351990       3.13241005       3.14795995       3.16527009       3.17469001       3.18206000       3.18730998       3.18748999       3.18618011       3.18580008       3.20373011       3.23313999       3.27275991       3.30156994       3.32276011       3.33349991       3.34478998       3.35583997       3.39118004       3.41057992       3.43848991       3.47224998       3.50132990       3.47569990       3.48598003       3.49627995       3.51297998       3.53781009       3.56268001       3.58877993       3.61592007       3.62754011       3.63334990       3.64113998       3.64767003       3.65667009       3.66757011       3.67248011       3.67948008       3.68329000       3.67596006       3.66901994       3.66149998       3.64877009       3.64135003       3.64865994       3.65389991       3.66250992       3.67837000       3.69162989       3.70429993       3.71565008       3.72690010       3.73395991       3.74102998       3.73290992       3.72004008       3.70572996       3.69426990      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.02126980       4.01497984       4.00869989       4.01194000       4.01702976       4.01995993       4.00783014       3.99247003       3.97709990       3.96108007       3.94573998       3.92877007       3.91351008       3.89723992       3.87898993       3.86772990       3.85637999       3.84202003       3.82906008       3.81138992       3.79099011       3.77601004       3.75665998       3.73594999       3.71744990       3.70115995       3.68485999       3.66851997       3.64076996       3.60860991       3.57849002       3.55480003       3.52959991       3.50594997       3.50647998       3.50434995       3.50127006       3.47750998       3.44976997       3.42212009       3.39582992       3.36943007       3.34302998       3.32975006       3.32194996       3.31228995       3.30026007       3.28961992       3.27090001       3.24504995       3.21796989       3.19939995       3.19014001       3.18949008       3.18709993       3.18118000       3.17408991       3.16257000       3.14778996       3.13196993       3.11000991       3.08751988       3.07054996       3.07214999       3.08113003       3.09482002       3.09694004       3.09722996       3.09659004       3.09241009       3.08816004       3.07613993       3.06340003       3.05853009       3.05796003       3.06020999       3.05854011       3.05785990       3.05791998       3.05827999       3.05631995       3.05140996       3.04942989       3.05186009       3.06358004       3.08033991       3.09568000       3.10484004       3.10925007       3.11239004       3.11275005       3.11437988       3.12217999       3.14338994       3.17309999       3.20485997       3.22778010       3.24245000       3.25226998       3.25884008       3.26504993       3.27683997       3.29900002       3.33406997       3.36940002       3.38802004       3.39725995       3.40857005       3.43217993       3.45812011       3.47902989       3.51052999       3.54204011       3.56344008       3.57122993       3.57902002       3.58868003       3.60085011       3.61261010       3.62077999       3.63521004       3.64446998       3.63843012       3.64040995       3.63819003       3.62908006       3.63791990       3.64620996       3.65433002       3.67176008       3.68814993       3.70141006       3.71186996       3.71920991       3.72795010       3.73637009       3.74479008       3.74027991       3.72525001       3.71021008       3.70056009       3.69001007       3.67376995       3.65753007      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.04579020       4.02204990       4.00775003       4.01561022       4.02255011       4.02572012       4.02888012       4.01294994       3.99249005       3.97644997       3.96051002       3.94403005       3.92857003       3.91323996       3.87781000       3.86325002       3.84868002       3.82856989       3.81585002       3.80312991       3.78681993       3.76416993       3.74152994       3.70860004       3.67817998       3.65175009       3.62736011       3.60980010       3.59376001       3.57640004       3.54732990       3.51347995       3.48085999       3.45396996       3.42985010       3.40496993       3.39667010       3.39244008       3.38548994       3.37134004       3.34618998       3.32005000       3.28937006       3.26050997       3.23924994       3.23022008       3.22257996       3.21401000       3.20374990       3.19366002       3.18361998       3.16313004       3.14085007       3.11802006       3.10229993       3.09730005       3.09122992       3.08756995       3.07735991       3.06288004       3.04836988       3.03925991       3.02779007       3.01164007       3.00260997       2.99712992       2.99559999       2.99491000       2.99276996       2.99277997       2.99259996       2.99199009       2.99147010       2.99147010       2.98885989       2.98779011       2.98790002       2.98841000       2.98792005       2.98792005       2.98762012       2.98794007       2.98962998       2.98819995       2.98708010       2.98708010       2.99172997       2.99928999       3.01339006       3.02356005       3.02996993       3.03664994       3.04461002       3.05324006       3.06138992       3.07295990       3.09424996       3.12333012       3.15106010       3.16215992       3.16650009       3.16926003       3.17185998       3.18265009       3.19946003       3.22281003       3.25553012       3.29281998       3.30455995       3.31890988       3.34063005       3.35722995       3.36916995       3.40068007       3.43426991       3.46044993       3.47217989       3.49198008       3.51154995       3.52765989       3.54632998       3.56420994       3.58155990       3.60052991       3.60368991       3.60634995       3.61126995       3.61979008       3.62718010       3.63761997       3.65614009       3.67383003       3.69265008       3.69935989       3.70555997       3.71451998       3.72391009       3.73233008       3.73821998       3.73861003       3.72972989       3.71468997       3.70621991       3.69786000       3.68576002       3.67406988       3.66636992       3.65866995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.07886982       4.05815983       4.03743982       4.00679016       3.98446012       3.99035001       3.98275995       3.98201990       3.98301005       3.98169994       3.97722006       3.95998001       3.94350004       3.92702007       3.90829992       3.86929011       3.83028007       3.81388998       3.78660989       3.75566006       3.74278998       3.72954988       3.71603990       3.69461012       3.66542006       3.63177991       3.58588004       3.54787993       3.52430010       3.50426006       3.48726010       3.46738005       3.44072008       3.40917993       3.37782001       3.34767008       3.32129002       3.30121994       3.28903008       3.28361011       3.27494001       3.26360989       3.24776006       3.22521996       3.20039010       3.17277002       3.15037990       3.13690996       3.13041997       3.12237000       3.11307001       3.10225010       3.09211993       3.08018994       3.06398010       3.04338002       3.02920008       3.02065992       3.01374006       3.00970006       2.99965000       2.98966002       2.98006010       2.98164010       2.98311996       2.98464990       2.98729992       2.98511004       2.98569012       2.98933005       2.98810005       2.99037004       2.99568009       3.00424004       3.00284004       3.00167990       2.99931002       2.99601007       2.99747992       2.99672008       2.99388003       2.99515009       3.00008988       3.00322008       3.00476003       3.00470996       2.99796009       2.99517012       2.99452996       2.99380994       2.99426007       2.99153996       2.98920012       2.98596001       2.98161006       2.98632002       2.99897003       3.00665998       3.02470994       3.04999995       3.07747006       3.09318995       3.09950995       3.09699011       3.09896994       3.10331988       3.11945009       3.14261007       3.17325997       3.20656991       3.22482991       3.23561001       3.24251008       3.24973011       3.26102996       3.29321003       3.32803988       3.35698009       3.37754989       3.40342999       3.42437005       3.44357991       3.46532989       3.48434997       3.50413990       3.52823997       3.53800011       3.54457998       3.56794000       3.58158994       3.59087992       3.61442995       3.63510990       3.65331006       3.67430997       3.69303989       3.70035005       3.70983005       3.71931005       3.72816992       3.72854996       3.72893000       3.72931004       3.72023010       3.71186996       3.70354009       3.69526005       3.68731999       3.67941999       3.67151999       3.66363001       3.66195989      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000       4.12364006       4.08560991       4.04980993       4.02222013       3.99153996       3.96069002       3.95330000       3.94569993       3.93830991       3.93056989       3.92160010       3.91084003       3.89561009       3.88360000       3.87377000       3.85435009       3.81871009       3.78307009       3.74787998       3.71713996       3.68638992       3.66404009       3.65025997       3.63648009       3.61449003       3.57797003       3.54097009       3.49474001       3.44723010       3.41433001       3.39334989       3.37842989       3.35850000       3.34071994       3.31356001       3.28465009       3.25700998       3.23014998       3.20895004       3.19179010       3.18635988       3.18109989       3.17420006       3.15896010       3.14094996       3.12322998       3.09959006       3.07553005       3.05751991       3.04746008       3.04097009       3.02849007       3.01639009       3.00711989       2.99675012       2.98619008       2.98125005       2.98378992       2.98645997       2.98526001       2.98343992       2.98393989       2.98549008       2.99094009       2.99528003       2.99618006       2.99729991       2.99951005       2.99879003       3.00064993       3.00424004       3.00714993       3.01218009       3.02189994       3.03303003       3.03469992       3.02993011       3.02542996       3.02180004       3.01959991       3.01665998       3.01481009       3.01883006       3.02590990       3.03233004       3.03434992       3.02837992       3.02313995       3.01899004       3.01851010       3.01982999       3.02139997       3.02081990       3.02257991       3.02187991       3.01612997       3.00454998       2.99685001       2.99219990       2.98714995       2.98305011       2.99381995       3.01680994       3.03452992       3.03198004       3.03548002       3.04541993       3.06366992       3.08405995       3.10879993       3.13280010       3.15730000       3.16459990       3.16814995       3.17286992       3.17887998       3.20740008       3.23826003       3.26918006       3.29442000       3.31902003       3.34198999       3.36348009       3.38497996       3.40775990       3.43185997       3.45596004       3.47789001       3.50125003       3.52460003       3.54414010       3.56768990       3.59124994       3.61407995       3.63420010       3.65086007       3.66753006       3.67956996       3.68594003       3.69232011       3.71411991       3.71620989       3.71673012       3.71725988       3.71714997       3.71777010       3.70949006       3.70121002       3.69319010       3.68529010       3.67812991       3.67444992       3.67269993       3.67873001       3.68476009      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.16922998       4.13319016       4.09714985       4.04455996       3.99267006       3.96022010       3.91979003       3.89386010       3.88656998       3.86697006       3.84957004       3.84060001       3.82306004       3.80593991       3.79601002       3.79536009       3.78629994       3.74897003       3.69519997       3.64705992       3.61195993       3.55778003       3.52869010       3.51167989       3.50324011       3.48321009       3.45706010       3.41739988       3.37430000       3.33316994       3.29971004       3.27375007       3.26390004       3.25215006       3.23469996       3.21928000       3.19394994       3.16842008       3.14418006       3.12264991       3.10380006       3.09612989       3.09288001       3.08087993       3.06311011       3.04460001       3.02682996       3.01036000       2.99365997       2.98151994       2.98182011       2.98298001       2.98473001       2.98678994       2.99012995       2.99334002       2.99555993       3.00095010       3.00626993       3.00677991       3.00299001       2.99637008       2.99480009       3.00129008       3.00876999       3.01490998       3.02060008       3.02215004       3.02359009       3.02426004       3.02421999       3.02908993       3.03525996       3.04854012       3.05945992       3.07028008       3.07605004       3.07645988       3.07046008       3.06194997       3.05453992       3.05034995       3.05498004       3.06135988       3.07069993       3.07838988       3.07825994       3.07522988       3.06697011       3.05572009       3.05358005       3.05314994       3.05727005       3.06037998       3.06575990       3.06721997       3.06068993       3.04703999       3.03401995       3.02279997       3.01606989       3.00962996       3.00412989       2.99695992       2.99043012       2.98067999       2.99025011       3.00096011       3.01321006       3.03002000       3.04836011       3.06890011       3.09270000       3.10029006       3.10320997       3.10695004       3.10867000       3.13163996       3.16229010       3.19301009       3.22052002       3.24518991       3.26655006       3.28803992       3.31127000       3.33565998       3.35975003       3.38721991       3.41816998       3.44224000       3.46634007       3.49060011       3.51352000       3.53638005       3.56453991       3.58662009       3.60329008       3.62000990       3.63676000       3.64371991       3.66226006       3.68789005       3.70217991       3.70270991       3.70132995       3.70004010       3.70458007       3.70912004       3.70717001       3.69906998       3.69324994       3.68956995       3.68588996       3.68343997       3.68947005      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.19274998       4.14963007       4.10494995       4.03210020       3.95975995       3.92198992       3.87909007       3.83618999       3.81720996       3.79467010       3.77213001       3.75002003       3.72723007       3.70345998       3.70379996       3.70357990       3.70556998       3.65492010       3.60052991       3.53740001       3.46579003       3.41653991       3.38534999       3.38230991       3.38022995       3.36650991       3.34559989       3.30714011       3.26202989       3.21981001       3.18284988       3.15863991       3.14793992       3.13758993       3.12318993       3.10943007       3.09623003       3.06822991       3.05200005       3.03438997       3.01537991       2.99937010       2.98198009       2.98110008       2.98245001       2.98511004       2.98907995       2.99250007       2.99404001       2.99723005       2.99813008       2.99767995       2.99672008       3.00131011       3.00724006       3.01310992       3.01751995       3.02373004       3.02920008       3.03042006       3.02730989       3.02342010       3.02567005       3.03186011       3.04120994       3.05096006       3.05967999       3.06409001       3.06301999       3.06066990       3.05987000       3.06492996       3.07756996       3.09328008       3.10561991       3.11860991       3.12211990       3.12581992       3.12731004       3.11660004       3.10183001       3.09661007       3.10780001       3.11652994       3.12947011       3.13704991       3.13940001       3.13748002       3.12818003       3.11104989       3.09594989       3.09572005       3.10465002       3.11342001       3.11866999       3.12140989       3.11472988       3.09731007       3.07981992       3.06750989       3.05976009       3.05482006       3.04735994       3.03862000       3.02870011       3.01764011       3.00838995       2.99791002       2.98634005       2.98396993       2.99755001       3.01303005       3.02930999       3.04098010       3.05082989       3.05645990       3.06475997       3.08277988       3.10648990       3.13052011       3.15574002       3.17597008       3.19271994       3.21462989       3.23908997       3.26355004       3.29242992       3.32400990       3.35560012       3.38115001       3.40541005       3.42967010       3.45304990       3.48082995       3.50968003       3.53853011       3.55575991       3.57249999       3.58925009       3.60912991       3.63404012       3.65894008       3.68435001       3.68652010       3.68506002       3.68359995       3.68747997       3.69200993       3.69772005       3.70298004       3.70155001       3.70012999       3.69734001       3.69417000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.27704000       4.22553015       4.17047977       4.09845018       4.02725983       3.93875003       3.85727000       3.81215000       3.77383995       3.74696994       3.72460008       3.66375995       3.61429000       3.59033990       3.56236005       3.56838989       3.57473993       3.58440995       3.54951000       3.49913001       3.41512990       3.30975008       3.26513004       3.24484992       3.24464989       3.25016999       3.23809004       3.21515012       3.18216991       3.13384008       3.10208011       3.06734991       3.04157996       3.03388000       3.03266001       3.02110004       3.00685000       2.99096990       2.98188996       2.98621011       2.98902988       2.98787999       2.98671007       2.98860002       2.99263000       2.99668002       3.00254989       3.00989008       3.01510000       3.01889992       3.02340007       3.02101994       3.01780009       3.01640010       3.02290010       3.03014994       3.03719997       3.04397011       3.05022001       3.05556011       3.05901003       3.06052995       3.06151009       3.06640005       3.07226992       3.08100009       3.09138989       3.10110998       3.11233997       3.11421990       3.11483002       3.11184001       3.12154007       3.13211012       3.15059996       3.16486001       3.17934990       3.18702006       3.19228005       3.19707990       3.18897009       3.17251992       3.16324997       3.17857003       3.18891001       3.20274997       3.20976996       3.21301007       3.21169996       3.20202994       3.17913008       3.16117001       3.15600991       3.16493011       3.17333007       3.17818999       3.18022990       3.17646003       3.16160989       3.14277005       3.12506008       3.11295009       3.10558009       3.09870005       3.08938003       3.07643008       3.06409001       3.05190992       3.03702998       3.02066994       3.00846004       3.00056005       2.99158001       2.98212004       2.99036002       3.00253010       3.01074004       3.01992989       3.03413010       3.05472994       3.07930994       3.10386992       3.12026000       3.13586998       3.14988995       3.17294002       3.20188999       3.23042011       3.26176000       3.29322004       3.32006001       3.34435010       3.36847997       3.38780999       3.41419005       3.44056010       3.46539998       3.48481011       3.49936008       3.51642990       3.53903008       3.56393003       3.58927989       3.62037992       3.63737011       3.64609003       3.65616012       3.67444992       3.68154001       3.68863010       3.69571996       3.69556999       3.69414997      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.30981016       4.24881983       4.17521000       4.10202980       4.01735020       3.89807010       3.77944994       3.73855996       3.70800996       3.67744994       3.62294006       3.53813004       3.47721004       3.44437003       3.41017008       3.41486001       3.42911005       3.43037009       3.40107012       3.35360003       3.28942990       3.18563008       3.11654997       3.11664009       3.10897994       3.10202003       3.08284998       3.05886006       3.03863001       3.02280998       3.00205994       2.98878002       2.98095012       2.98470998       2.98827004       2.99343991       3.00002003       3.00342989       3.00695992       3.01144004       3.01142001       3.00815010       3.00846004       3.01098990       3.01361990       3.01884007       3.02628994       3.03193998       3.03647995       3.03925991       3.04233003       3.04348993       3.04259992       3.04597998       3.05121994       3.05932999       3.06798005       3.07609010       3.08505988       3.09413004       3.09868002       3.09714007       3.10261989       3.10788989       3.11671996       3.15472007       3.16850996       3.18347001       3.19591999       3.19905996       3.20393991       3.20514989       3.21304011       3.21959996       3.23075008       3.24579000       3.26182008       3.27589011       3.28048992       3.28446007       3.28776002       3.27717996       3.27238011       3.27576995       3.28371000       3.29218006       3.29684997       3.29958010       3.29556990       3.28203011       3.26840997       3.25635004       3.25165009       3.25811005       3.25530005       3.25225997       3.25417995       3.24164009       3.22911000       3.21269989       3.19326997       3.17365003       3.16406989       3.15647006       3.14701009       3.13309002       3.11804008       3.10273004       3.08241010       3.06104994       3.04748011       3.03801990       3.02744007       3.01677990       3.00499010       2.99495006       2.98617005       2.98220992       2.99725008       3.01440001       3.03513002       3.05436993       3.07101011       3.08453989       3.09622002       3.11260009       3.14421010       3.17299008       3.20269990       3.23116994       3.25886989       3.27821994       3.29513001       3.31521010       3.33676004       3.36246991       3.38502002       3.40756989       3.42474008       3.44733000       3.46991992       3.49421000       3.52532005       3.55642009       3.58114004       3.59466004       3.61357999       3.63237000       3.65095997       3.66954994       3.68663001       3.68958998      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.32958984       4.26198006       4.19436979       4.11348009       3.98003006       3.86104989       3.73839998       3.65543008       3.62239003       3.56806993       3.48030996       3.39459991       3.32097006       3.28175998       3.26283002       3.25218010       3.25730991       3.24253988       3.20755005       3.15928006       3.10452008       3.06538010       3.01863003       3.00686002       2.98976994       2.98183990       2.99003005       2.99867010       3.00909996       3.01307011       3.01490998       3.01060009       3.00864005       3.00989008       3.01270008       3.01715994       3.02467990       3.02968001       3.03264999       3.03591990       3.03594995       3.03307009       3.03260994       3.03486991       3.03850007       3.04288006       3.04849005       3.05428004       3.06050992       3.06389999       3.06737995       3.06914997       3.07282996       3.07708001       3.08224010       3.09319997       3.10473990       3.11676002       3.12747002       3.13797998       3.14739990       3.14535999       3.14767003       3.15282011       3.18296003       3.22315001       3.25158000       3.26743007       3.28555989       3.29291010       3.29838991       3.31490993       3.32511997       3.33263993       3.33212996       3.34393001       3.36048007       3.37453008       3.38081002       3.38498998       3.39422011       3.39665008       3.39261007       3.38425994       3.39182997       3.39650011       3.39490008       3.39762998       3.39943004       3.38972998       3.37502003       3.36658001       3.35915995       3.35332990       3.35139990       3.34907007       3.33030009       3.31889009       3.30648994       3.28832006       3.26854992       3.24836993       3.23222995       3.22186995       3.20988989       3.19314003       3.17831993       3.15942001       3.13762999       3.11208010       3.09579992       3.08345008       3.07321000       3.06273007       3.04852009       3.03118992       3.01689005       3.00302005       2.99131989       2.98356009       2.99201989       3.01297998       3.02730989       3.04130006       3.04875994       3.06735992       3.09243011       3.11946011       3.14814997       3.17528009       3.19509006       3.20653009       3.22283006       3.24410009       3.26566005       3.28595996       3.30894995       3.33184004       3.35367990       3.37614012       3.39859009       3.42159009       3.45322990       3.48486996       3.51420999       3.55207992       3.57101011       3.58989000       3.60847998       3.62706995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.40333986       4.32630014       4.25868988       4.10820007       3.94964004       3.82912993       3.67629004       3.55581999       3.50978994       3.42018008       3.33176994       3.25375009       3.20001006       3.16195011       3.12483001       3.10247993       3.08208990       3.05869007       3.04164004       3.01657009       2.98417997       2.99408007       3.00170994       3.00465012       3.00746012       3.02022004       3.03831005       3.04846001       3.05515003       3.05358005       3.04667997       3.04094005       3.03529000       3.03730989       3.03733993       3.03833008       3.04205990       3.04550004       3.05307007       3.06030989       3.06521010       3.06582999       3.06026006       3.06511998       3.06861997       3.07393003       3.08097005       3.08866000       3.09578991       3.10246992       3.10848999       3.11090994       3.11595011       3.11679006       3.12281990       3.14628005       3.16255999       3.17630005       3.19003010       3.20432997       3.22226000       3.22210002       3.22679996       3.23708010       3.27586007       3.31509995       3.34483004       3.36357999       3.38464999       3.39693999       3.41455007       3.44069004       3.45713997       3.45582008       3.44938993       3.45342994       3.46730995       3.47968006       3.48878002       3.49883008       3.51224995       3.52024007       3.51296997       3.50462008       3.50276995       3.50153995       3.49837995       3.49826002       3.49973989       3.50112009       3.49095011       3.48315001       3.47435999       3.46690989       3.46066999       3.43812990       3.41711998       3.40384007       3.38648009       3.36866999       3.34826994       3.32698011       3.30914998       3.29626989       3.28027010       3.26302004       3.24432993       3.22461009       3.20071006       3.17332006       3.15254998       3.13972998       3.12810993       3.11568999       3.09850001       3.07781005       3.05818009       3.03742003       3.01887012       3.00872993       2.99727988       2.98746991       2.98404002       3.00243998       3.01339006       3.02717996       3.04670000       3.07357001       3.09898996       3.12074995       3.13842010       3.15076995       3.15970993       3.17902994       3.19906998       3.21506000       3.23801994       3.25945997       3.28098011       3.30343008       3.32512999       3.34671998       3.37545991       3.40386009       3.43162990       3.47127008       3.51283002       3.54735994      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.48734999       4.40679979       4.29054022       4.12805986       3.96556997       3.80802989       3.63828993       3.46930003       3.38247991       3.30736995       3.26602006       3.20518994       3.14210010       3.08310008       3.05408001       3.02645993       2.98285007       3.01243997       3.04820991       3.07638001       3.08500004       3.07301998       3.05358005       3.04654002       3.04421997       3.05360007       3.06541991       3.07246995       3.07360005       3.07433009       3.07397008       3.07396007       3.07511997       3.07826996       3.07729006       3.07356000       3.07869005       3.08552003       3.09229994       3.09850001       3.10576010       3.11063004       3.11277008       3.11476994       3.11495996       3.12153006       3.13082004       3.14011002       3.14718008       3.15415001       3.15952992       3.16090989       3.16462994       3.16970992       3.17911005       3.20421004       3.22835994       3.24760008       3.26767993       3.29808998       3.30958009       3.31445003       3.31815004       3.34348989       3.38170004       3.41990995       3.44548988       3.46671009       3.48793006       3.50956011       3.53532004       3.56106997       3.57809997       3.57160997       3.56511998       3.55773997       3.57000995       3.58226991       3.58909988       3.60244989       3.61578989       3.62839007       3.61996007       3.61153007       3.59845996       3.59580994       3.59324002       3.58829999       3.59015012       3.59202003       3.59669995       3.58832002       3.57995009       3.56917000       3.54660010       3.52380991       3.50223994       3.48475003       3.46740007       3.44800997       3.42672992       3.40544009       3.38400006       3.36792994       3.35186005       3.33312011       3.31456995       3.29601002       3.27428007       3.24900007       3.22758007       3.21120000       3.19378996       3.17966008       3.15797997       3.13176990       3.10787010       3.07960010       3.06045008       3.04606009       3.03330994       3.02030993       3.00384998       2.99152994       2.98148990       2.99285007       3.01343012       3.03060007       3.05328012       3.07159996       3.08769011       3.09624004       3.10142994       3.11397004       3.13136005       3.14796996       3.16810012       3.18845010       3.20881009       3.23094010       3.25366998       3.27640009       3.30429006       3.33335996       3.36238003       3.40330005       3.44578004      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.56533003       4.45507002       4.34480000       4.19796991       4.05501986       3.91055989       3.74081993       3.58285999       3.39767003       3.23937011       3.22202992       3.20099998       3.16553998       3.10887003       3.06020999       3.05712008       3.09040999       3.11910009       3.13803005       3.14312005       3.13861990       3.12683010       3.10792994       3.09416008       3.08721995       3.08874011       3.09796000       3.11128998       3.11845994       3.12200999       3.12887001       3.13416004       3.13439012       3.13628006       3.13157010       3.12807989       3.13667011       3.14810991       3.16173005       3.17385006       3.18291998       3.18611002       3.18552995       3.18586993       3.18829989       3.19484997       3.20385003       3.21483994       3.22451997       3.23179007       3.23659992       3.24147010       3.24856997       3.25689006       3.26658010       3.29051995       3.31166005       3.33225012       3.36033010       3.39861012       3.42352009       3.42847991       3.45290995       3.48087001       3.51908994       3.54145002       3.55949998       3.58071995       3.60055995       3.61997008       3.64546990       3.66789007       3.68922997       3.68500996       3.67354012       3.66058993       3.66947007       3.67479992       3.67815995       3.68975997       3.70289993       3.71597004       3.71230006       3.69847012       3.68267989       3.67719007       3.67164993       3.66471004       3.66486001       3.67063999       3.67877007       3.67360997       3.66171002       3.64728999       3.62632990       3.60516000       3.58502007       3.56709003       3.54719996       3.52620006       3.50495005       3.48205996       3.45865989       3.44235992       3.42188001       3.40024996       3.38169003       3.36967993       3.35411000       3.32979012       3.31234002       3.29290009       3.27337003       3.25866008       3.23229003       3.20166993       3.16561007       3.13034010       3.10067010       3.08718991       3.07446003       3.06320000       3.04644990       3.02698994       3.00980997       2.99541998       2.98597002       2.98881006       3.00729990       3.02376008       3.03873992       3.04822993       3.05671000       3.06323004       3.07244992       3.08955002       3.10995007       3.13042998       3.15107989       3.16808009       3.18871999       3.21412992       3.24370003       3.27326989       3.30309010      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.52005005       4.40653992       4.28446007       4.15096998       4.01274014       3.84933996       3.69606996       3.51568007       3.40894008       3.33551002       3.29553008       3.26029992       3.20905995       3.16671991       3.16235995       3.16108990       3.19243002       3.20022988       3.20240998       3.20165992       3.19386005       3.18228006       3.17051005       3.16300011       3.15907001       3.16154003       3.17117000       3.18554997       3.20124006       3.21289992       3.22017002       3.22505999       3.21817994       3.20799994       3.20871997       3.21472001       3.22535992       3.23969007       3.25215006       3.26457000       3.26799011       3.26688004       3.26660991       3.26911998       3.27399993       3.28552008       3.29718995       3.30882001       3.31384993       3.31867003       3.32367992       3.33310008       3.34293008       3.35461998       3.37633991       3.39805007       3.41983008       3.45449996       3.49265003       3.53080010       3.55976009       3.58828998       3.61681008       3.63689995       3.65475988       3.67261004       3.69050002       3.70969009       3.72888994       3.74836993       3.76933002       3.79028010       3.78519011       3.77167010       3.75814009       3.75718999       3.76021004       3.76324010       3.77144003       3.78462005       3.79780006       3.79022002       3.77491999       3.75962996       3.75057006       3.74428010       3.73797989       3.74080992       3.74883008       3.75686002       3.74963999       3.73513007       3.72061992       3.70314002       3.68270993       3.66227007       3.64232993       3.62153006       3.60071993       3.57786012       3.55439997       3.53094006       3.50867009       3.48717999       3.46579003       3.45519996       3.44448996       3.43428993       3.41732001       3.40014005       3.38057995       3.35974002       3.33890009       3.31090999       3.27339005       3.23586011       3.20022988       3.16629004       3.14402008       3.12719011       3.11266994       3.09264994       3.07165003       3.05400991       3.03865004       3.02508998       3.01166010       2.99882007       2.98114991       2.99549007       3.00388002       3.01399994       3.02294993       3.03402996       3.04744005       3.05663991       3.07277989       3.09267998       3.10960007       3.13118005       3.16160989       3.19325995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.60009003       4.48656988       4.36001015       4.23085022       4.11598015       3.98637009       3.82370996       3.70281005       3.61073995       3.53464007       3.47641993       3.42927003       3.38691998       3.33763003       3.31862998       3.31260991       3.31680012       3.31416011       3.30222011       3.29054999       3.28173995       3.27112007       3.25975990       3.25020003       3.24241996       3.25188994       3.26255012       3.27812004       3.29655004       3.31566000       3.32565999       3.33126998       3.32629991       3.31820989       3.32183003       3.33097005       3.34402990       3.35975003       3.37225008       3.38446999       3.38820004       3.38915992       3.38902998       3.39111996       3.39422989       3.40365005       3.41531992       3.42349005       3.42992997       3.43567991       3.43845010       3.44555998       3.45453000       3.46070004       3.47815990       3.50010991       3.52396011       3.55507994       3.59267998       3.62310004       3.65247011       3.68098998       3.70952010       3.73231006       3.75015998       3.76041007       3.77487993       3.79408002       3.80774999       3.82444000       3.84540009       3.84847999       3.84396005       3.83043003       3.82692003       3.82617998       3.82920003       3.83034992       3.83574009       3.84887004       3.84473991       3.83664989       3.82136011       3.81027007       3.80121994       3.79492998       3.79070997       3.79184008       3.79987001       3.79819989       3.79093003       3.77642989       3.76484990       3.74959993       3.72916007       3.71232009       3.69355011       3.67270994       3.65130997       3.62873006       3.60501003       3.57962990       3.55662990       3.53744006       3.52766991       3.51723003       3.50991988       3.51329994       3.49897003       3.48457003       3.46960998       3.44870996       3.42774010       3.39996004       3.36257005       3.32134008       3.27935004       3.24341989       3.20836997       3.18844008       3.16737008       3.14530993       3.12261009       3.10146999       3.08440995       3.07051992       3.06527996       3.05468988       3.03480005       3.01090002       2.98651004       2.98539996       2.99301004       3.00226998       3.01150990       3.02013993       3.02870989       3.04492998       3.06773996       3.09383011       3.12296009      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000       4.56471014       4.46084023       4.36171007       4.26256990       4.17419004       4.05404997       3.93425989       3.83711004       3.75098991       3.69181991       3.64493990       3.60052991       3.55360007       3.52677011       3.51672006       3.51254010       3.47491002       3.45488000       3.42529011       3.40137005       3.39096999       3.37800002       3.36500001       3.36134005       3.37058997       3.38027000       3.39530993       3.41619992       3.43765998       3.45009995       3.44959998       3.44910002       3.44571996       3.45081997       3.45591998       3.46729994       3.47979999       3.49230003       3.50196004       3.50569010       3.50941992       3.51160002       3.51470995       3.51782990       3.52433991       3.53243995       3.54053998       3.54751992       3.55025005       3.55298996       3.55750990       3.56367993       3.56984997       3.58037996       3.60423994       3.62808990       3.65453005       3.68494010       3.71534991       3.74517012       3.77370000       3.80222988       3.82693005       3.83705997       3.84718990       3.85867000       3.87214994       3.88562989       3.89949989       3.90165997       3.90382004       3.90345001       3.90034008       3.89722991       3.89495993       3.89611006       3.89725995       3.89736009       3.89318991       3.88906002       3.88353992       3.87262011       3.86170006       3.85208011       3.84803009       3.84398007       3.84173989       3.83944011       3.83715010       3.83267999       3.82122993       3.80977988       3.79657006       3.77975988       3.76294994       3.74464989       3.72323990       3.70183992       3.67902994       3.65366006       3.62827992       3.60908008       3.59931993       3.58956003       3.58498001       3.58836007       3.59174991       3.58257008       3.57048988       3.55841994       3.53802991       3.51699996       3.49529004       3.45231009       3.40646005       3.36255002       3.32768011       3.29315996       3.26473999       3.23939991       3.21586990       3.18595004       3.16048002       3.13460994       3.11718988       3.10893011       3.10011005       3.09014010       3.06884003       3.03867006       3.01213002       2.99386001       2.98137999       2.98850012       2.99618006       3.00527000       3.01884007       3.04206991      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.50828981       4.40915012       4.31957006       4.23512983       4.15441990       4.06632996       3.96993995       3.91950011       3.87191010       3.82178998       3.78160000       3.75126004       3.72004008       3.68189001       3.64374995       3.60525990       3.57466006       3.54397988       3.51967001       3.50704002       3.49441004       3.48991990       3.49872994       3.50753999       3.52128005       3.54303002       3.56478000       3.56976008       3.56936002       3.56894994       3.57030010       3.57507992       3.57988000       3.58679008       3.59926009       3.61092997       3.61623001       3.61988997       3.62356997       3.62729001       3.63054991       3.63369012       3.63704991       3.64514995       3.65233994       3.65230989       3.65458989       3.65686011       3.65919995       3.66507006       3.67142010       3.67934990       3.70325994       3.72496009       3.74047995       3.77103996       3.79952002       3.81981993       3.84825993       3.87514997       3.89394999       3.90366006       3.91347003       3.92365003       3.93716002       3.94882011       3.95198989       3.95414996       3.95617008       3.95742011       3.95392990       3.95034003       3.94624996       3.94690990       3.94686007       3.94448996       3.94039011       3.93505001       3.92625999       3.91553998       3.90404010       3.89045000       3.88632989       3.88196993       3.87690997       3.87454009       3.87169003       3.86746001       3.85612988       3.84471989       3.83242989       3.81576991       3.79864001       3.77990007       3.75829005       3.73368001       3.70538998       3.67972994       3.65454006       3.63404012       3.62538004       3.62077999       3.62210989       3.62704992       3.63803005       3.63769007       3.62595010       3.62126994       3.60652995       3.58554006       3.57115006       3.53210998       3.48649001       3.45419002       3.41962004       3.38471007       3.34274006       3.31678009       3.28622007       3.25493002       3.22435999       3.19397998       3.17747998       3.16755009       3.15527010       3.13799000       3.11834002       3.09055996       3.05843997       3.03190994       3.01230001       2.99803996       2.98338008       2.98559999      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.55573988       4.46583986       4.38897991       4.31172991       4.22817993       4.15384007       4.12025023       4.07011986       4.01909018       3.96926999       3.91944003       3.88232994       3.84305000       3.80281997       3.76258993       3.73002005       3.69626999       3.66469002       3.65206003       3.64124990       3.63132000       3.64013004       3.64875007       3.65774012       3.67949009       3.68523002       3.69086003       3.69074011       3.69091010       3.69107008       3.69583011       3.70115995       3.70648003       3.71778989       3.72344995       3.72909999       3.73305988       3.73685002       3.74063993       3.74378991       3.74619007       3.74858999       3.75500989       3.75461006       3.75421000       3.75612998       3.75830007       3.76045990       3.76610994       3.77403998       3.78197002       3.79888010       3.81327009       3.82765007       3.85355997       3.87308002       3.89260006       3.91772008       3.93684006       3.95596004       3.96785998       3.97803998       3.98820996       3.99762988       4.00082016       4.00401020       4.00610018       4.00740004       4.00869989       4.00592995       4.00184011       3.99775004       3.99611998       3.99374008       3.99136996       3.98576999       3.97705007       3.96832991       3.95656991       3.94228005       3.92799997       3.92249990       3.91728997       3.91209006       3.90859008       3.90462995       3.90066004       3.89023995       3.87863994       3.86690998       3.84959006       3.83152008       3.81332994       3.78800011       3.75896001       3.73007011       3.70500994       3.68022990       3.65699005       3.65357995       3.65202999       3.65259004       3.66489005       3.67986989       3.68420005       3.68056989       3.67923999       3.66851997       3.65532994       3.64233994       3.61121988       3.58025002       3.54926991       3.51323009       3.46823001       3.42322993       3.39383006       3.36268997       3.33148003       3.30258989       3.27870011       3.25901008       3.24396992       3.22650003       3.20532990       3.17890000       3.14651990       3.10921001       3.07927990       3.05504990       3.03754997       3.02096009      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.54310989       4.46624994       4.38547993       4.32633018       4.29273987       4.25915003       4.21396017       4.15674019       4.09951019       4.04351997       3.99869990       3.95865011       3.91494989       3.87674999       3.84436011       3.81120992       3.79418993       3.78392005       3.77363992       3.77661991       3.78420997       3.79162002       3.79316998       3.79836011       3.80295992       3.80352998       3.80457997       3.80637002       3.81272006       3.81757998       3.82134008       3.82108998       3.82532001       3.82934999       3.83267999       3.83622003       3.84117007       3.84613991       3.84964991       3.85226011       3.85176992       3.85114002       3.84979010       3.84847999       3.84945989       3.85227990       3.86033010       3.86807990       3.87490010       3.88626003       3.90073991       3.90836000       3.92083001       3.94032001       3.95759010       3.97340989       3.99196005       4.01042986       4.02446985       4.03454018       4.03970003       4.04219007       4.04602003       4.04612017       4.04527998       4.04632998       4.04929018       4.04917002       4.04431009       4.04035997       4.03788996       4.03547001       4.02615023       4.01668978       4.00907993       4.00177002       3.98910999       3.97480011       3.95975995       3.95072007       3.94492006       3.93622994       3.92934990       3.92524004       3.92244005       3.91330004       3.90267992       3.89688993       3.88035989       3.86226010       3.83481002       3.80443001       3.77467990       3.74424005       3.71834993       3.69355011       3.67207003       3.67198992       3.67191005       3.67247009       3.68759990       3.70272994       3.71918011       3.71630001       3.71341991       3.72231007       3.70930004       3.69684005       3.67732000       3.64905000       3.62222004       3.58277988       3.53685999       3.50049996       3.47016001       3.43903995       3.40997005       3.38664007       3.36330009       3.34386992       3.32465005       3.30644011       3.28517008       3.24928999       3.21396995       3.17369008       3.13346004       3.10634995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.54278994       4.49882984       4.45354986       4.40710020       4.36201000       4.31805992       4.26083994       4.20631981       4.15248013       4.10715008       4.05724001       4.01716995       3.98251009       3.94227004       3.91717005       3.90689993       3.89669991       3.89252996       3.90013003       3.89580989       3.89317012       3.89702010       3.89658999       3.89700007       3.90017009       3.91042995       3.91816998       3.92167997       3.91423011       3.90984011       3.91401005       3.91709995       3.92027998       3.92575002       3.93359995       3.93889999       3.94090009       3.94075990       3.94038010       3.93882990       3.93434000       3.93126988       3.93338990       3.94171000       3.94992995       3.95646000       3.96209002       3.97310996       3.97746992       3.97372007       3.98174000       3.99843001       4.01019001       4.02398014       4.04246998       4.06078005       4.07706022       4.08039999       4.08024979       4.08268976       4.08086014       4.07571983       4.07387018       4.07739019       4.08395004       4.08685017       4.08279991       4.08025980       4.07776022       4.06617022       4.05209017       4.04269981       4.03554010       4.02851009       4.01693010       4.00166988       3.98569989       3.97404003       3.96548009       3.95374990       3.94507003       3.94267011       3.94042993       3.93114996       3.92717004       3.92386007       3.90946007       3.88011003       3.84684992       3.81556010       3.78516006       3.75442004       3.72742009       3.70493007       3.68368006       3.68318009       3.68028998       3.67751002       3.69264007       3.71357012       3.73451996       3.73493004       3.74904990       3.76430988       3.75407004       3.74313998       3.72429991       3.69823003       3.67399001       3.63853002       3.60342002       3.57595992       3.54639006       3.51783991       3.48964000       3.46631002       3.45365000       3.44342995       3.42421007       3.40812993       3.37837005       3.32736993       3.29034996       3.24480009      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.59426022       4.54780006       4.50269985       4.45879984       4.41260004       4.35628986       4.30109978       4.25052023       4.19994020       4.15382004       4.11358023       4.07332993       4.04016018       4.02996016       4.01976013       4.00956011       4.00457001       3.99354005       3.98353004       3.98473001       3.98942995       3.99397993       4.00423002       4.01449013       4.02201986       4.01457024       4.00712013       3.99934006       3.99624991       3.99409008       3.99631000       4.01000977       4.02237988       4.02847004       4.02851009       4.02855015       4.02684021       4.02162981       4.01641989       4.01171017       4.01478004       4.01809978       4.02099991       4.02812004       4.04078007       4.04436016       4.04082012       4.03727007       4.03660011       4.04791021       4.05921984       4.07013988       4.08363008       4.09740019       4.10427999       4.10633993       4.11236000       4.11154985       4.10663986       4.10171986       4.10050011       4.10642004       4.11232996       4.12047005       4.11570978       4.11031008       4.09641981       4.08154011       4.07169008       4.06411982       4.05743980       4.05076981       4.04039001       4.02412987       4.00786018       3.98972011       3.97509003       3.96044993       3.95421004       3.95387006       3.95427990       3.95180011       3.94875002       3.94569993       3.92615008       3.89295006       3.85975003       3.82140994       3.78850007       3.75558996       3.73069000       3.71013999       3.69075990       3.68809009       3.68542004       3.68331003       3.69950008       3.72018003       3.74087000       3.76116991       3.77291989       3.78303003       3.77995992       3.77561998       3.76390004       3.73970008       3.71549010       3.68908000       3.65435004       3.61963010       3.59981990       3.58234000       3.56687999       3.55841994       3.54995990       3.54145002       3.52934003       3.51688004       3.48026991       3.42571998       3.37116003      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.64178991       4.59597015       4.55013990       4.49826002       4.44572020       4.38675022       4.30862999       4.23880005       4.20069981       4.16695023       4.13784981       4.12072992       4.11025000       4.09138012       4.07167006       4.06062984       4.05372000       4.04960012       4.04851007       4.05473995       4.06504011       4.07738018       4.09111023       4.09019995       4.08203983       4.06607008       4.05054998       4.04838991       4.05846024       4.07349014       4.08758020       4.09551001       4.09555006       4.08900976       4.08033991       4.07426023       4.07009983       4.07126999       4.07263994       4.07595015       4.07827997       4.08038998       4.08677006       4.09217978       4.08864021       4.07785988       4.06629992       4.07379007       4.08456993       4.09405994       4.10431004       4.11808014       4.11703014       4.11475992       4.11655998       4.11665010       4.11175013       4.10714006       4.10253000       4.10757017       4.11627007       4.12888002       4.13692999       4.13093996       4.10960007       4.08827019       4.07352018       4.06573009       4.05929995       4.05411005       4.04859018       4.03232002       4.01335001       3.99213004       3.97332001       3.96074009       3.95889997       3.95705009       3.95675993       3.95449996       3.95157003       3.94887996       3.94160008       3.90840006       3.86736012       3.82295990       3.78417993       3.75428009       3.73095012       3.70761991       3.68709993       3.68324995       3.68233991       3.68322992       3.69042993       3.71111989       3.73880005       3.76731992       3.78471994       3.78882003       3.78590012       3.78297997       3.77551007       3.75131011       3.72726989       3.70325994       3.67300010       3.64611006       3.63032007       3.62185001       3.61336994       3.60489988       3.59645009       3.60377002       3.61120009       3.60505009       3.56705999      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.63767004       4.55955982       4.48145008       4.40333986       4.32523012       4.29421997       4.26513004       4.23603010       4.20696020       4.18704987       4.16715002       4.14724016       4.12802982       4.12390995       4.11978006       4.11566019       4.11306000       4.12680006       4.14053011       4.15427017       4.16422987       4.14826012       4.13229990       4.11633015       4.10558987       4.12061977       4.13565016       4.15067005       4.16071987       4.15205002       4.14337015       4.13468981       4.12848997       4.12966013       4.13082981       4.13199997       4.13345003       4.13556004       4.13767004       4.13978004       4.13732004       4.12576008       4.11420012       4.10263014       4.09898996       4.10848999       4.11798000       4.12748003       4.13206005       4.12978983       4.12751007       4.12523985       4.12190008       4.11729002       4.11267996       4.10806990       4.11207008       4.12468004       4.13729000       4.14989996       4.14412022       4.12278986       4.10145998       4.08013010       4.06821012       4.06302023       4.05781984       4.05262995       4.03741980       4.01620007       3.99497008       3.97375011       3.96543002       3.96358991       3.96174002       3.95989990       3.95745993       3.95477009       3.95209002       3.94940996       3.91546988       3.87106991       3.82666993       3.78226995      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    

PyLaGriT/examples/ideas_mesh/dem1m.dat

@@ -0,0 +1,22 @@
+ ncols          80
+ nrows          16
+ xllcorner 0.0
+ yllcorner 0.0
+ cellsize 1.0
+ NODATA_value -9999
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.67219996       3.68359995       3.69619012       3.71521997       3.72508001       3.72726989       3.71860003       3.70366001       3.69660997       3.69231009       3.69566989       3.70247006       3.70868993       3.73199010       3.73533010       3.72710991       3.71343994       3.69245005       3.67408991       3.66343999       3.66878009       3.67532992      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.75395012       3.75072002       3.77381992       3.80789995       3.83649993       3.83517003       3.80082989       3.76087999       3.72447991       3.71415997       3.73225999       3.73175001       3.73741007       3.73725009       3.73420000       3.72895002       3.72724009       3.71581006       3.70748997       3.70763993       3.71369004       3.71959996       3.72178006       3.71810007       3.71340990       3.72086000       3.70785999       3.69271994       3.68577003       3.69053006       3.71712995       3.73258996       3.73983002       3.75313997       3.72856998       3.71529007       3.69196010       3.68709993       3.68752003       3.71386003       3.74335003      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.84218001       3.85291004       3.85646009       3.84837008       3.81525993       3.78619003       3.77371001       3.78171992       3.78228998       3.80602002       3.82614994       3.81270003       3.78468990       3.75465989       3.72204995       3.70226002       3.71567988       3.71896005       3.70863008       3.68091989       3.66621995       3.66920996       3.69081998       3.66926003       3.65340996       3.64381003       3.64496994       3.65351009       3.63864994       3.62265992       3.62915993       3.64632010       3.64388990       3.63277006       3.61752009       3.63211012       3.69529009       3.71615005       3.71783996       3.72343993       3.73534012       3.74135995       3.71669006       3.71463990       3.72206998       3.73904991       3.77004004       3.81308007       3.82997990       3.79167008       3.74681997       3.68841004      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.89721990       3.89446998       3.88790989       3.88687992       3.87184000       3.87367010       3.86740994       3.85953999       3.83484006       3.80479002       3.77077007       3.74273992       3.75369000       3.75407004       3.74163008       3.73374009       3.72142005       3.70238996       3.66389990       3.62322998       3.58352995       3.61139011       3.61373997       3.59570003       3.54733992       3.50950003       3.49995995       3.51776004       3.51693010       3.49341989       3.46985006       3.47119999       3.47304010       3.45194006       3.44093990       3.43341994       3.44907999       3.46670008       3.46933007       3.44515991       3.49103999       3.54961991       3.60261011       3.60168004       3.63162994       3.67248011       3.69498992       3.69745994       3.67420006       3.68841004       3.72452998       3.75991011       3.76771998       3.78307009       3.76691008       3.74364996       3.69601989       3.65737009       3.62821007       3.62685990       3.64345002      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       3.97463989       3.96666002       3.94780993       3.94218993       3.91915011       3.91198993       3.89215994       3.87345004       3.85437989       3.83789992       3.80751991       3.77642989       3.73608994       3.69320011       3.66227007       3.66677999       3.65785003       3.62424994       3.58114004       3.54922009       3.52816010       3.49469995       3.42711997       3.39080000       3.37755990       3.37296009       3.36444998       3.31990004       3.25889993       3.24163008       3.26091003       3.27699995       3.26254010       3.23248005       3.22522998       3.22555995       3.22105002       3.21431994       3.18898010       3.19310999       3.22851992       3.24569988       3.25251007       3.25864005       3.30609012       3.36669993       3.40301991       3.44205999       3.51185012       3.56785989       3.57076001       3.55559993       3.58434010       3.63444996       3.67550993       3.68491006       3.69812012       3.71179008       3.70617008       3.68607998       3.66150999       3.64916992       3.66020989       3.67941999       3.70173001       3.72968006       3.72755003       3.70164990      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.02367020       4.01190996       4.02333021       4.00113010       3.97018003       3.93827009       3.90633988       3.86961007       3.84359002       3.81522989       3.77417994       3.73583007       3.69358993       3.66131997       3.60915995       3.54360008       3.49505997       3.47079992       3.45974994       3.40716004       3.35136008       3.30119991       3.28457999       3.26395988       3.23436999       3.18297005       3.15848994       3.15164995       3.13547993       3.10908008       3.07193995       3.04245996       3.05696988       3.06269002       3.06114006       3.05426002       3.03233004       3.03197002       3.03110003       3.03109002       3.02905989       3.02705002       3.04509997       3.07450008       3.08585000       3.09185004       3.10967994       3.16898990       3.20758009       3.22706008       3.24148989       3.28264999       3.35360003       3.37469006       3.42071009       3.46594000       3.52659988       3.55022001       3.57961988       3.60310006       3.63214993       3.63052011       3.62648010       3.64428997       3.67242002       3.70278001       3.71656990       3.73416996       3.74310994       3.71284008       3.69461989       3.66292000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.08056021       4.03021002       3.97554994       3.96744990       3.96454000       3.96043992       3.93502998       3.88625002       3.80773997       3.75567007       3.71145010       3.68425012       3.62757993       3.54643989       3.47901011       3.43943000       3.39190006       3.33290005       3.27805996       3.24868989       3.23566008       3.20618010       3.16253996       3.11444998       3.09419990       3.07409000       3.05212998       3.02804995       3.00203991       2.98604012       2.98108006       2.98636007       2.98809004       2.98990989       2.99160004       2.99549007       3.01216006       3.01435995       3.00728011       3.00518990       3.00177002       3.01401997       3.01781988       3.00535011       3.00322008       3.00254011       3.00037003       2.99166989       2.98130989       3.01029992       3.06195998       3.07175994       3.07405996       3.11138010       3.16626000       3.20573997       3.21698999       3.24619007       3.31199002       3.36210990       3.40650010       3.44888997       3.49475002       3.52310991       3.56508994       3.60157990       3.64304996       3.68530989       3.70687008       3.72404003       3.72502995       3.72311997       3.70644999       3.69006991       3.67417002       3.66610003      -9999.00000      -9999.00000    
+  -9999.00000       4.17643976       4.10390997       3.97607994       3.89861989       3.85435009       3.81108999       3.78051996       3.75936007       3.75047994       3.64608002       3.54189992       3.46359992       3.44306993       3.39913011       3.31353998       3.23955011       3.20812011       3.18319011       3.14372993       3.09769011       3.05991006       3.03835011       3.00462008       2.98114991       2.98615003       2.98948002       2.99089003       2.99953008       3.00716996       3.01724005       3.00921011       3.01032996       3.02570009       3.03816009       3.03851008       3.04104996       3.06101990       3.08590007       3.09742999       3.09222007       3.07147002       3.08153009       3.10124993       3.10500002       3.08592010       3.07090998       3.07936001       3.09131002       3.07593989       3.04626989       3.03160000       3.01507998       3.00090003       2.98080993       3.00290990       3.03574991       3.06944990       3.08284998       3.10534000       3.15187001       3.20514011       3.24820995       3.29709005       3.35172009       3.40943003       3.45816994       3.50570989       3.56209993       3.59572005       3.62329006       3.67304993       3.69532990       3.69238997       3.70085001       3.70246005       3.69505000       3.68829012      -9999.00000      -9999.00000    
+  -9999.00000       4.24236012       4.09855986       3.91252995       3.76834989       3.70830011       3.59031010       3.51260996       3.49142003       3.51143003       3.42268991       3.23323011       3.17428994       3.17407990       3.12173009       3.05750990       3.01828003       2.99637008       2.98281002       2.99205995       2.99881005       2.99673009       3.00162005       3.01030993       3.02418995       3.03158998       3.03176999       3.03296995       3.04728007       3.06346011       3.07817006       3.07838011       3.09077001       3.12357998       3.15052009       3.16090012       3.16596007       3.18351007       3.21501994       3.23701000       3.24569988       3.22339010       3.23500991       3.25476003       3.25937009       3.23691010       3.20707989       3.21790004       3.21984005       3.20320010       3.16915011       3.13944006       3.12245989       3.09775996       3.06613994       3.03109002       3.01264000       2.99286008       2.98671007       3.01121998       3.04731989       3.09072995       3.11647010       3.16470003       3.22282004       3.28312993       3.32658005       3.36889005       3.41938996       3.45702004       3.49959993       3.55202007       3.60661006       3.63202000       3.66960001       3.69051003      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.29971981       4.10629988       3.83737993       3.59399009       3.47365999       3.30367994       3.20103002       3.15771008       3.10987997       3.06352997       2.99652004       2.98945999       3.00626993       3.03315997       3.03697991       3.02785993       3.02589989       3.03076005       3.03990006       3.04690003       3.04946995       3.05135989       3.05876994       3.07023001       3.08350992       3.09370995       3.10203004       3.13198996       3.15823007       3.18322992       3.19155002       3.21530008       3.29510999       3.33300996       3.35775995       3.40023994       3.40590000       3.41758990       3.44348001       3.45841002       3.46871996       3.45460010       3.45779991       3.45900989       3.45091009       3.43195009       3.42033005       3.38880992       3.36106992       3.32400990       3.28205991       3.25758004       3.22212005       3.18089008       3.13333011       3.10859990       3.08309007       3.04491997       3.01049995       2.99011993       2.99732995       3.02582002       3.05786991       3.11262012       3.15846992       3.18129992       3.22334003       3.26321006       3.30721998       3.35206008       3.40335989       3.46203995       3.54347992       3.58182001      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.43861008       4.17054987       3.86994004       3.53736997       3.25597000       3.20038009       3.08452010       3.03712010       3.10261011       3.12493992       3.10684991       3.07525992       3.07524991       3.09787011       3.10535002       3.11404991       3.11512995       3.10285997       3.12579989       3.15029001       3.16046000       3.16025996       3.17108989       3.19092989       3.20595002       3.21574998       3.22956991       3.27025008       3.31076002       3.37841010       3.39192009       3.45056009       3.51063991       3.55185008       3.59440994       3.64246011       3.64417005       3.62995005       3.64646006       3.66740990       3.68558002       3.66199994       3.64866996       3.63913012       3.64798999       3.64030004       3.60897994       3.56533003       3.52887988       3.48669004       3.44168997       3.40675998       3.36542010       3.33564997       3.28865004       3.25092006       3.21391010       3.15182996       3.08898997       3.06352997       3.03574991       2.99936008       2.98095012       3.01904011       3.05187011       3.07034993       3.08738995       3.12649989       3.16768003       3.20777988       3.26090002       3.31991005      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000       4.57731009       4.33658981       4.07664013       3.77132010       3.55111003       3.41736007       3.32752991       3.26822996       3.28042006       3.27336001       3.25344992       3.22819996       3.21158004       3.23557997       3.26879001       3.29426003       3.29137993       3.29047990       3.31513000       3.34335995       3.35736990       3.35695004       3.36314011       3.38662004       3.40035009       3.40897012       3.42754006       3.45870996       3.50495005       3.57962990       3.63894010       3.69623995       3.73137999       3.76063991       3.79294991       3.83254004       3.82194996       3.80666995       3.81192994       3.82526994       3.83078003       3.80167007       3.78429008       3.77467990       3.78880000       3.77147007       3.74549007       3.70541000       3.66699004       3.62378001       3.57565999       3.52970004       3.50422001       3.49130988       3.46569991       3.43094993       3.38494992       3.30970001       3.23032999       3.17314005       3.13644004       3.09240007       3.06037998       3.04159999       3.00019002       2.99084997       3.00775003       3.02535009       3.05351996       3.10082006      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000       4.57560015       4.37607002       4.20177984       4.01429987       3.87034988       3.77456999       3.71565008       3.64509010       3.57018995       3.50861001       3.47612000       3.46308994       3.48081994       3.51987004       3.54540992       3.54459000       3.55202007       3.56594992       3.58985996       3.59822989       3.60551000       3.61189008       3.62537003       3.63271999       3.63729000       3.64698005       3.66808009       3.71257997       3.76557994       3.81666994       3.87055993       3.89491010       3.91667008       3.93983006       3.94470000       3.94535995       3.93807006       3.93723011       3.93302011       3.92212009       3.90139008       3.88089991       3.87199998       3.86624002       3.85402012       3.83102989       3.79874992       3.75980997       3.71024990       3.65822005       3.62374997       3.61437988       3.62491989       3.62020993       3.60022998       3.56051993       3.48305011       3.40926003       3.33383012       3.27803993       3.21555996       3.16777992       3.14651990       3.11034989       3.05351996       3.00648999       2.98060989       3.00207996      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.51867008       4.35922003       4.26718998       4.18594980       4.07220984       3.97362995       3.88965988       3.82112002       3.77624011       3.75555992       3.77010012       3.78081989       3.79038000       3.79234004       3.79977012       3.80716991       3.81455994       3.82194996       3.83102989       3.83831000       3.83976007       3.83709002       3.83874011       3.85103011       3.86532998       3.89446998       3.92010999       3.95538998       3.99272990       4.02166986       4.03460979       4.04231977       4.04194021       4.04672003       4.03694010       4.03138018       4.01698017       4.00165987       3.97779989       3.95024991       3.93858004       3.92491007       3.91535997       3.89463997       3.86547995       3.81423998       3.75416994       3.70116997       3.67047000       3.66912007       3.69726992       3.71468997       3.71936989       3.69407010       3.65030003       3.58697009       3.49704003       3.43596005       3.38104010       3.33449006       3.29909992       3.24625993       3.17236996       3.10206008      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.58134985       4.48944998       4.39742994       4.28569984       4.18388987       4.09923983       4.03039980       4.00988007       3.99761009       3.97807002       3.98390007       3.99950004       4.01413012       3.99914002       3.99207997       3.99616003       4.02147007       4.02345991       4.02088022       4.01127005       4.01202011       4.01789999       4.04221010       4.03633022       4.03916979       4.06193018       4.08783007       4.10255003       4.11400986       4.10411978       4.10311985       4.11502981       4.11170006       4.08641005       4.06730986       4.05387020       4.03119993       3.99847007       3.96706009       3.95353007       3.95288992       3.94675994       3.90494990       3.83586001       3.76796007       3.71741009       3.68933010       3.68394995       3.71424007       3.75681996       3.78045988       3.77634001       3.74535990       3.69663000       3.62673998       3.58439994       3.55714011       3.53695989       3.51200008       3.42859006      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    
+  -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000       4.55066013       4.39344978       4.29017019       4.23160982       4.18378019       4.14372015       4.12312984       4.11482000       4.12974977       4.15740013       4.14442015       4.11228991       4.12460995       4.15486002       4.14951992       4.13205004       4.13003016       4.13239002       4.13628006       4.14053011       4.12151003       4.09823990       4.11220980       4.13132000       4.12883997       4.12425995       4.11524010       4.10596991       4.13058996       4.15518999       4.11225986       4.07076979       4.06031990       4.04735994       4.00464010       3.96624994       3.96253991       3.95858002       3.95318007       3.93288994       3.84352994      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000      -9999.00000    

PyLaGriT/examples/ideas_mesh/ideas_mesh.py

@@ -0,0 +1,194 @@
+import optparse
+import shutil, distutils.dir_util, os, sys, glob
+
+import numpy
+import math
+import matplotlib.pyplot as plt
+from pylagrit import PyLaGriT
+
+#
+#  Create parser and options
+#
+p = optparse.OptionParser()
+p.add_option('--dem-file', help='DEM data file name including path', type='string', dest='dem_filename' )
+p.add_option('--exo-file', help='Exodus II mesh output including path', type='string', dest='exo_filename')
+p.add_option('--dry-run', help='Show commands and diagnostics but no execution', default=False, dest='dry_run', action='store_true')
+p.add_option('--plot', help='Show commands and diagnostics but no execution', default=False, dest='plot', action='store_true')
+#
+(opts,args) = p.parse_args()
+
+print(opts.dem_filename)
+print(opts.dry_run)
+
+# Input: DEM data
+dem_file_fullname=opts.dem_filename
+dem_file_noext, dem_file_ext=os.path.splitext(opts.dem_filename)
+dem_file_base=os.path.basename(opts.dem_filename).rstrip(dem_file_ext)
+dem_file_path=os.path.dirname(opts.dem_filename)
+
+# Output: Exodus II mesh
+exo_file_fullname=opts.exo_filename
+exo_file_noext, exo_file_ext=os.path.splitext(opts.exo_filename)
+exo_file_base=os.path.basename(opts.exo_filename).rstrip(exo_file_ext)
+exo_file_path=os.path.dirname(opts.exo_filename)
+
+# Output: XML region specifications for the new mesh
+xml_file_fullname=exo_file_path+exo_file_base+'.xml'
+
+# DEM parsing
+# 
+with open(dem_file_fullname) as dem_header:
+    for line in dem_header:
+        if ("ncols" in line):
+            nx=int(line.split()[1])
+        elif ("nrows" in line):
+            ny=int(line.split()[1])
+        elif ("xllcorner" in line):
+            xll_corner=float(line.split()[1])
+        elif ("yllcorner" in line):
+            yll_corner=float(line.split()[1])
+        elif ("cellsize" in line):
+            dx=float(line.split()[1])
+            dy=dx
+        elif ("NODATA_value" in line):
+            no_data_value=int(line.split()[1])
+            break
+
+print(nx, ny, xll_corner, yll_corner, dx, dy, no_data_value)
+dem_header.close()
+
+d = numpy.flipud(numpy.genfromtxt(dem_file_fullname,skip_header=6))
+#plt.matshow(d)
+
+# Create mesh based on ncols and nrows in file, could automatically read
+x = numpy.linspace(xll_corner,dx*(nx-1),nx)
+y = numpy.linspace(yll_corner,dy*(ny-1),ny)
+
+x=numpy.arange(xll_corner,dx*nx,dx)
+y=numpy.arange(yll_corner,dy*ny,dy)
+
+xx, yy = numpy.meshgrid(x,y)
+
+# Write avs file
+fh = open(dem_file_base+'.avs','w')
+# Find number of data values and write avs header
+N = numpy.where(numpy.isnan(d)==False)[0].shape[0]
+fh.write(str(N)+' 0 0 0 0\n')
+# Collect data into avs format
+# JDM:  Not sure if this should be nx*ny? 
+davs = numpy.zeros([nx*ny,4])
+ind = 0
+for i,row in enumerate(d):
+    for j,v in enumerate(row):
+        davs[ind,:] = [ind + 1, xx[i,j], yy[i,j], v]
+        ind += 1
+# Write data to avs file 
+numpy.savetxt(fh,davs,fmt=['%4d','%.1lf','%.1lf','%.8lf'])   
+fh.close()
+
+# Crank up pylagrit
+lg = PyLaGriT()
+# Read in elevations in avs fromat
+m = lg.read(dem_file_base+'.avs')
+# Take a look, change paraview exe
+# Will need to use glyph filter to view points
+#m.paraview(exe='paraview')
+
+# Copy z values over to attribute
+m.addatt('z_save',vtype='vdouble',rank='scalar')
+m.copyatt('zic','z_save')
+# Not sure why this has to be done, but not data elements don't get removed otherwise
+m.setatt('zic',0.)
+
+# Create connected quad mesh surface
+m2 = lg.create()
+#m2.createpts_xyz((nx,ny,1),[xx.min(),yy.min(),0.],[xx.max(),yy.max(),0],rz_switch=[1,1,1],connect=True)
+m2.createpts_xyz((nx,ny,1),[xx.min(),yy.min(),0.],[xx.max(),yy.max(),0],rz_switch=[1,1,1])
+# Create temporary z value attribute
+m2.addatt('z_save',vtype='vdouble',rank='scalar')
+# Interpolate elevations to z_save
+m2.interpolate_voronoi('z_save',m,'z_save')
+# Find nodes associated with nodata
+pdel = m2.pset_attribute('z_save',-9999)
+# Create element set from these nodes and remove elements
+edel = pdel.eltset()
+m2.rmpoint_eltset(edel)
+# Copy temp z values over to actual a values
+#m2.copyatt('z_save','zic')
+# Take a look to make sure everything is ok
+#m2.paraview(exe='paraview')
+
+
+
+m3 = m2.copypts(elem_type='triplane')
+m3.connect()
+# To lazy to add to pylagrit now, and don't know how to make it intuitive
+# Creates edge_max element attribute containing max edge length
+m3.sendline('quality/edge_max/y')
+# Query created attribute
+#m3.printatt('edgemax')
+m3.minmax('edgemax')
+# Figure out max desired edge length
+max_edge = numpy.sqrt(dx**2+dy**2)
+# Identify elements with longer edges
+edel = m3.eltset_attribute('edgemax',max_edge*2.05,'gt')
+m3.rmpoint_eltset(edel)
+
+#m3 = m2.grid2grid_quadtotri2()
+#m3=m2
+# Create temporary z value attribute
+m3.addatt('z_save',vtype='vdouble',rank='scalar')
+# Interpolate elevations to z_save
+m3.interpolate_voronoi('z_save',m,'z_save')
+
+# Find nodes associated with nodata
+pdel = m3.pset_attribute('z_save',-9999)
+# Create element set from these nodes and remove elements
+edel = pdel.eltset()
+m3.rmpoint_eltset(edel)
+# Copy temp z values over to actual a values
+m3.copyatt('z_save','zic')
+# Take a look to make sure everything is ok
+#m2.paraview(exe='paraview')
+
+# Create top surface avs
+m3.dump('top.inp')
+## Subtract 1 from z values of top and dump into bottom surface avs
+m3.math('sub',1,'zic',cmosrc=m3)
+m3.dump('mid.inp')
+m3.setatt('zic',0.0)
+m3.dump('bot.inp')
+
+# Stack the layers in a new mesh object
+stack = lg.create()
+stack.stack_layers('avs',['bot.inp 1','mid.inp 1,3','top.inp 1,0'],flip_opt=True)
+stack_hex = stack.stack_fill()
+# Automatically create face sets based on normal vectors and layer id
+#fs = stack_hex.create_boundary_facesets(base_name='faceset_bounds',stacked_layers=True)
+#fs = stack_hex.create_boundary_facesets(base_name='faceset_bounds',stacked_layers=False)
+# Diagnostic
+#stack_hex.sendline('quality volume itetclr')
+
+# Write exo file with boundary facesets
+#stack_hex.dump_exo(exo_file_fullname,facesets=fs.values())
+stack_hex.dump_exo(exo_file_fullname)
+
+# Write region and faceset identifier file for ats_xml
+matnames = {10000:'computational domain peat'}
+facenames = {1:'bottom face',
+             2:'surface',
+             3:'front',
+             4:'right',
+             5:'back',
+             6:'left'}
+
+# Dump ats style xml for mesh, can provide options for other schemas easily also
+#stack_hex.dump_ats_xml(xml_file_fullname,exo_file_fullname,matnames=matnames,facenames=facenames)
+stack_hex.dump_ats_xml(xml_file_fullname,exo_file_fullname,matnames=matnames,facenames=facenames)
+
+# Take a look
+if opts.plot: 
+    stack_hex.paraview(exe='/Applications/paraview.app/Contents/MacOS/paraview')
+
+
+

PyLaGriT/examples/julia/calc_volume/calc_volume.jl

@@ -0,0 +1,47 @@
+using PyCall
+@pyimport pylagrit
+
+l = pylagrit.PyLaGriT(lagrit_exe="lagrit")
+
+# Create mesh object 'm'
+m = l[:create](elem_type="triplane")
+m[:read]("data.inp")
+
+# Set imt to 1 for all points
+m[:setatt]("imt",1)
+m[:minmax_xyz]()
+
+# Connect mesh
+m[:connect]()
+
+# Lift the triangulation by assigning the Z coordinate to the data value (value)
+m[:copyatt]("value","zic")
+m[:minmax_xyz]()
+
+# Dump surface to vis file
+m[:dump]("tmp_tri_surf.inp")
+
+# Extrude mesh to 0
+mprism = m[:extrude](0.1,offset_type="min",return_type="volume", direction=[0.,0.,-1.])
+
+# Diagnostic
+l[:sendline]("quality / volume")
+
+# Add e_volume attribute of type "volume"
+mprism[:addatt]("e_volume", keyword="volume")
+
+# Calculate volume
+mprism[:math]("sum","volume_sum",attsrc="e_volume")
+
+# Dump surface to vis file
+mprism[:dump]("tmp_prism.inp")
+
+# Just to check the math do this again and assign all the 'values' to 1.0 and see if we get the expected result.
+mprism[:delete]()
+m[:setatt]("value", 1.0)
+m[:copyatt]("value","zic")
+mprism = m[:extrude](0.1,offset_type="min",return_type="volume", direction=[0.,0.,-1.])
+l[:sendline]("quality / volume")
+mprism[:addatt]("e_volume", keyword="volume")
+mprism[:math]("sum","volume_sum",attsrc="e_volume")
+

PyLaGriT/examples/julia/calc_volume/data.inp

@@ -0,0 +1,13 @@
+5 0 1 0 0
+1 0. 0. 0.
+2 1. 0. 0.
+3 1. 1. 0.
+4 0. 1. 0.
+5 .3 .7 0.
+1 1
+value, real
+1 0.1
+2 0.2
+3 0.4
+4 0.4
+5 0.5

PyLaGriT/examples/julia/polygon_map/2d_mesh.avs

@@ -0,0 +1,112 @@
+        36         34          4          0          0
+001   6.013520000000E+01  7.815840000000E+01  0.000000000000E+00
+002   6.225470000000E+01  7.304140000000E+01  0.000000000000E+00
+003   6.636100000000E+01  7.733150000000E+01  0.000000000000E+00
+004   6.743270000000E+01  7.545220000000E+01  0.000000000000E+00
+005   6.859450000000E+01  7.817220000000E+01  0.000000000000E+00
+006   6.951440000000E+01  7.399160000000E+01  0.000000000000E+00
+007   7.084420000000E+01  7.675250000000E+01  0.000000000000E+00
+008   7.160620000000E+01  7.163580000000E+01  0.000000000000E+00
+009   7.446970000000E+01  7.667770000000E+01  0.000000000000E+00
+010   7.634490000000E+01  6.771360000000E+01  0.000000000000E+00
+011   7.675880000000E+01  6.338200000000E+01  0.000000000000E+00
+012   7.897770000000E+01  6.857050000000E+01  0.000000000000E+00
+013   7.901310000000E+01  6.423670000000E+01  0.000000000000E+00
+014   8.278350000000E+01  6.370140000000E+01  0.000000000000E+00
+015   8.581780000000E+01  6.354890000000E+01  0.000000000000E+00
+016   8.837110000000E+01  6.236630000000E+01  0.000000000000E+00
+017   9.139940000000E+01  5.620000000000E+01  0.000000000000E+00
+018   9.220260000000E+01  5.174260000000E+01  0.000000000000E+00
+019   9.029090000000E+01  5.127020000000E+01  0.000000000000E+00
+020   8.814240000000E+01  4.745050000000E+01  0.000000000000E+00
+021   8.651860000000E+01  4.605400000000E+01  0.000000000000E+00
+022   8.447390000000E+01  4.624540000000E+01  0.000000000000E+00
+023   8.032490000000E+01  4.764650000000E+01  0.000000000000E+00
+024   7.972940000000E+01  5.571550000000E+01  0.000000000000E+00
+025   7.884580000000E+01  5.498510000000E+01  0.000000000000E+00
+026   7.671340000000E+01  5.763060000000E+01  0.000000000000E+00
+027   7.543020000000E+01  5.673740000000E+01  0.000000000000E+00
+028   7.536320000000E+01  5.840850000000E+01  0.000000000000E+00
+029   7.325510000000E+01  6.345750000000E+01  0.000000000000E+00
+030   7.111320000000E+01  6.315590000000E+01  0.000000000000E+00
+031   7.113480000000E+01  6.613580000000E+01  0.000000000000E+00
+032   7.012260000000E+01  6.643770000000E+01  0.000000000000E+00
+033   6.865560000000E+01  6.764970000000E+01  0.000000000000E+00
+034   6.784250000000E+01  6.752880000000E+01  0.000000000000E+00
+035   6.589600000000E+01  6.792520000000E+01  0.000000000000E+00
+036   6.262800000000E+01  6.655140000000E+01  0.000000000000E+00
+001        0   tri  1  2  3
+002        0   tri  3  4  5
+003        0   tri  5  6  7
+004        0   tri  9 10 11
+005        0   tri 13 14 15
+006        0   tri 15 16 17
+007        0   tri 17 18 19
+008        0   tri 19 20 21
+009        0   tri 21 22 23
+010        0   tri 23 24 25
+011        0   tri 25 26 27
+012        0   tri 28 29 30
+013        0   tri 34 35 36
+014        0   tri  1  3  5
+015        0   tri  5  7  8
+016        0   tri  8  9 11
+017        0   tri 13 15 17
+018        0   tri 17 19 21
+019        0   tri 21 23 25
+020        0   tri 25 27 28
+021        0   tri 28 30 31
+022        0   tri  1  5  8
+023        0   tri  8 11 12
+024        0   tri 13 17 21
+025        0   tri 21 25 28
+026        0   tri 28 31 32
+027        0   tri  1  8 12
+028        0   tri 12 13 21
+029        0   tri 21 28 32
+030        0   tri 12 21 32
+031        0   tri 12 32 33
+032        0   tri  1 12 33
+033        0   tri  1 33 34
+034        0   tri  1 34 36
+00004  1  1  1  1
+imt1, integer 
+itp1, integer 
+icr1, integer 
+isn1, integer 
+0000000001  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000002  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000003  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000004  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000005  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000006  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000007  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000008  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000009  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000010  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000011  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000012  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000013  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000014  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000015  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000016  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000017  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000018  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000019  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000020  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000021  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000022  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000023  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000024  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000025  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000026  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000027  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000028  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000029  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000030  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000031  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000032  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000033  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000034  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000035  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00
+0000000036  0.000000000000E+00  1.000000000000E+01  0.000000000000E+00  0.000000000000E+00

PyLaGriT/examples/julia/polygon_map/README

@@ -0,0 +1 @@
+This example demonstrates how PyLaGriT can be used within a Julia script. The julia script "polygon_map.jl" and the python script "polygon_map.py" perform the same LaGriT operations. The two scripts can be compared to see how the syntax is modified for the Julia languange.

PyLaGriT/examples/julia/polygon_map/polygon_map.jl

@@ -0,0 +1,43 @@
+using PyCall
+@pyimport pylagrit 
+@pyimport numpy as np
+
+# User parameters #######################
+# Discretization
+nx = 61; ny = 61
+# Polygon delineation filename
+polygon_file = "2d_mesh.avs"
+# User parameters #######################
+
+l = pylagrit.PyLaGriT()
+
+# Read in polygon delineation mesh
+mopoly = l[:read](polygon_file)
+
+# Create quad using polygon min and max coordinates
+xs = linspace(mopoly[:xmin],mopoly[:xmax],nx)
+ys = linspace(mopoly[:ymin],mopoly[:ymax],ny)
+#xs = np.linspace(mopoly.xmin,mopoly.xmax,nx)
+#ys = np.linspace(mopoly.ymin,mopoly.ymax,ny)
+moquad = l[:gridder](xs,ys,elem_type="quad",connect=true)
+mopoly[:setatt]("itetclr",1)
+
+# Create extruded quad to tet and center at z=0
+moprism = mopoly[:extrude](1.0)
+moprism[:trans]((0.,0.,0.),(0.,0.,0.5))
+motet = moprism[:grid2grid_prismtotet3]()
+
+# Clean up a little
+mopoly[:delete]()
+moprism[:delete]()
+
+# Add attribute to moquad to store if in polygon or not
+moquad[:addatt]("if_in_poly",vtype="vint")
+moquad[:setatt]("if_in_poly", 0) # Make sure attr starts as zero
+
+# Interpolate motet's itetclr into moquad's if_in_poly
+moquad[:interpolate_map]("if_in_poly",motet,"itetclr")
+moquad[:intersect_elements](motet,attr_name="if_inter")
+
+# Write out file, mapping is stored as cell attribute in if_inter
+moquad[:dump]("polygon_map_julia.inp")

PyLaGriT/examples/julia/polygon_map/polygon_map.py

@@ -0,0 +1,40 @@
+from pylagrit import PyLaGriT
+import numpy as np
+
+# User parameters #######################
+# Discretization
+nx = 61; ny = 61
+# Polygon delineation filename
+polygon_file = '2d_mesh.avs'
+# User parameters #######################
+
+l = PyLaGriT()
+
+# Read in polygon delineation mesh
+mopoly = l.read(polygon_file)
+
+# Create quad using polygon min and max coordinates
+xs = np.linspace(mopoly.xmin,mopoly.xmax,nx)
+ys = np.linspace(mopoly.ymin,mopoly.ymax,ny)
+moquad = l.gridder(xs,ys,elem_type='quad',connect=True)
+mopoly.setatt('itetclr',1)
+
+# Create extruded quad to tet and center at z=0
+mopoly.extrude(1.0)
+moprism = mopoly.extrude(1.0)
+moprism.trans((0.,0.,0.),(0.,0.,0.5))
+motet = moprism.grid2grid_prismtotet3()
+
+# Clean up a little
+mopoly.delete()
+moprism.delete()
+
+# Add attribute to moquad to store if in polygon or not
+moquad.addatt('if_in_poly',vtype='vint')
+moquad.setatt('if_in_poly', 0) # Make sure attr starts as zero
+
+# Interpolate motet's itetclr into moquad's if_in_poly
+moquad.interpolate_map('if_in_poly',motet,'itetclr')
+moquad.intersect_elements(motet,attr_name='if_inter')
+
+moquad.dump('polygon_map_python.inp')

PyLaGriT/examples/read_fehm_mesh/read_fehm_mesh.py

@@ -0,0 +1,11 @@
+from pylagrit import PyLaGriT
+l = PyLaGriT()
+mhex = l.read_fehm('fehm.grid')
+#mhex.paraview()
+
+mtet = l.create(elem_type='tet')
+mtet = mhex.copypts()
+mtet.connect()
+mtet.paraview()
+
+

PyLaGriT/examples/refine_to_object.py

@@ -0,0 +1,96 @@
+# Set up a five spot co2 injection and brine production problem
+import os,sys
+#from fdata import*
+#from fpost import*
+import zipfile
+import time
+from glob import glob
+import pylagrit
+import numpy as np
+
+batch = False
+dip = 90. # Degrees, dip of fault, angle is measured from horizontal
+pars = {'k_cap':-18,
+    'k_res':-12.,
+    'k_aq':-14,
+    'k_leak':-12,
+    'zcap1':100.,
+    'zcap2':100.,       
+    'fx':3000.,
+    'fw':380,
+    'fl':1.e3,
+    'injection_rate':10.,
+    'specific_storage':1.e-4,
+    'failure_pressure':3.,
+    }
+
+# dimensions
+xmin, xmax = -2000., 6000.
+zmin, zmax = -1000.,0.
+print('zmin = '+str(zmin)+' zmax '+str(zmax))
+zmid = -1.e3        # 1 km depth
+
+fx = pars['fx']         # distance between fault and injector
+fw = pars['fw']
+fl = pars['fl']
+
+############################################## generate grid
+
+# ndivisions
+nxbase = 11
+nzbase = int((zmax-zmin)/25.)
+
+xmm = np.linspace(xmin,xmax,nxbase)
+ymm = [0.,25.]
+zmm = np.linspace(zmin,zmax,nzbase+1)
+
+#N = len(xmm)*len(ymm)*len(zmm)
+#print('Grid will contain '+str(N) +' nodes')
+#print(str(len(zmm))+' in the z direction')
+#
+## assemble parameters and root names
+#dat = fdata()
+#dat.work_dir='.'
+#
+#dat.grid.make(dat.work_dir+os.sep+'GRID.inp',x=xmm,y=ymm,z=zmm)
+#dat.grid.write('AVS.inp', format='avs')
+l = pylagrit.PyLaGriT(batch=batch)
+mtemp = l.gridder(xmm,ymm,zmm,connect=True)
+mtemp.dump("AVS.inp")
+m = l.read('AVS.inp')
+#z_inj = dat.grid.node_nearest_point((0,0,zmid)).position[2]
+#m_l = l.create_line(2, (0.1,0.1,zmin), (0.1,0.1,zmax))
+#m_l.connect_delaunay()
+#m.refine_to_object(m_l,level=3)
+#m_l.delete()
+
+#for i in range(4):
+#    prefine = m.pset_geom( (-.1,-.1,zmin), (.1,.1,zmax))
+#    prefine.refine('constant','element',inclusive_flag='inclusive',prd_choice=12)
+#    prefine.delete()
+
+m_l = l.create_line(2, [fx+fw/2.,-fl/2.,zmax+.1], [fx+fw/2.,fl/2.,zmax+.1])
+m_h = m_l.extrude(fw, direction=[1,0,0])
+m_l.delete()
+m_c = m_h.extrude((zmax-zmin)*2, direction=[np.tan(np.radians(90.-dip)),0.,-1])
+m_h.delete()
+m_c.connect_delaunay()
+for i in range(4): m.refine_to_object(m_c,prd_choice=1)
+
+m2 = m.grid2grid_tree_to_fe()
+#m2.gmv()
+m2.connect_delaunay()
+
+# Set imt at injector
+#p_inj = m.pset_geom( (-.1,-.1,z_inj-0.1), (.1,.1,z_inj+0.1))
+#p_inj.setatt('imt',10)
+ 
+# set imt of fault
+attr_name = m2.intersect_elements(m_c)
+e_fault = m2.eltset_attribute(attr_name,0,boolstr='gt')
+p_fault = e_fault.pset()
+p_fault.setatt('imt',20)
+
+if batch: l.run_batch()
+else: m2.paraview()
+

PyLaGriT/examples/region_example.py

@@ -0,0 +1,21 @@
+from pylagrit import PyLaGriT
+lg = PyLaGriT()
+mesh = lg.create()
+mins = (0,0,0)
+maxs = (5,5,5)
+eighth = mesh.surface_box(mins,maxs)
+boolstr1 = 'le '+eighth.name
+boolstr2 = 'gt '+eighth.name
+reg1 = mesh.region(boolstr1)
+reg2 = mesh.region(boolstr2)
+mreg1 = mesh.mregion(boolstr1)
+mreg2 = mesh.mregion(boolstr2)
+mesh.createpts_brick_xyz((10,10,10), (0,0,0), (10,10,10))
+mesh.rmregion(reg1)
+mesh.dump('reg_test.gmv')
+
+
+
+
+
+

PyLaGriT/examples/stratigraphic_hex_mesh_tutorial.py

@@ -0,0 +1,479 @@
+# -*- coding: utf-8
+# This script is the PyLaGriT version of LaGriT tutorial example at
+# https://lanl.github.io/LaGriT/pages/tutorial/stratigraphy/index.html.
+# Written by Guoyan Jiang (gyjiang@whu.edu.cn) with technical support
+# from Dylan Harp (dharp@lanl.gov) and Terry Miller (tamiller@lanl.gov). 
+
+# Import PyLaGriT class from pylagrit module
+from pylagrit import PyLaGriT
+import numpy
+
+# Variables
+maxX  = 4000              # Max value in x direction
+maxY  = 4000              # Max value in y direction
+maxZ  = 3000              # Max value in z direction
+numX = 51                 # Number of points in x direction
+numY = 51                 # Number of points in y direction
+numZ = 26                 # Number of points in z direction
+
+# Create PyLaGriT object
+# This assumes that pylagritrc is being used so that lagrit_exe option does not need to be specified
+lg = PyLaGriT()
+
+#********************************************
+# 01 Built HEX Mesh
+#********************************************
+# Create mesh object 
+mo = lg.create_hex()
+mo.createpts_brick_xyz((numX, numY, numZ), (0,0,0), (maxX, maxY, maxZ))
+
+# Save the mesh object
+mo.dump('tmp_hex_01.inp')
+
+# Set vertices (imt) and cells (itetlcr) to 1
+mo.setatt('imt', 1)
+mo.setatt('itetclr', 1)
+
+# Set node type from connectivity of mesh
+mo.resetpts_itp()
+
+#********************************************
+# 02 Use pset’s to identify (for setting boundary conditions, 
+# initial conditions, etc.) a set of vertices on the top 
+# surface of the mesh
+#********************************************
+# Create a pset named p_top, which contains all nodes (stride = 1 0 0) 
+# where the node’s Z value (zic) is greater than or equal to (ge) the top of the mesh (maxZ) 
+pset0 = mo.pset_attribute('zic', maxZ, 'ge', (1,0,0), 'p_top')
+
+# Define three cylindrical objects
+pset1 = mo.pset_geom((0,0,-1), (1100,360,10000), (1500,1500,0), 'rtz', (1,0,0), 'p_circle1')
+pset2 = mo.pset_geom((0,0,-1), (1100,360,10000), (2500,2500,0), 'rtz', (1,0,0), 'p_circle2')
+pset3 = mo.pset_geom((0,0,-1), (1100,360,10000), (2500,1500,0), 'rtz', (1,0,0), 'p_circle3')
+
+# Intersect four psets, points belonging to the union of all given sets are preserved into the pset p_region
+pset4 = mo.pset_inter([pset0, pset1, pset2, pset3], 'p_region')
+
+# Map psets to an attribute
+mo.addatt('id_top_region', vtype='vint', rank='scalar')     # Creat a node-based attribute id_top_region within the mesh object
+mo.setatt('id_top_region', 1)              #Fill the entire attribute with 1
+pset1.setatt('id_top_region', 2)           #Color all nodes in the pset p_circle1 with the value 2
+pset2.setatt('id_top_region', 3)
+pset3.setatt('id_top_region', 4)
+pset4.setatt('id_top_region', 5)
+
+# Release the psets from memory
+pset0.delete()
+pset1.delete()
+pset2.delete()
+pset3.delete()
+pset4.delete()
+
+#********************************************
+# 03 Build some surfaces to define stratigraphy.
+# In a real model, the surfaces would come from some geologic framework model
+# and would define geologic or hydro-geologic horizons and topography.
+#********************************************
+mosurf1 = lg.create_qua()       # Create the top surface
+p1 = (-20, -20, 1000)
+p2 = (4020, -20, 1500)
+p3 = (4020, 4020, 2500)
+p4 = (-20, 4020, 500)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf1.quadxy(nnodes, pts)
+#mosurf1.paraview()
+mosurf1.minmax_xyz()
+mosurf1.dump('tmp_surf1_quad.inp')
+
+mosurf2 = lg.create_qua()       # Create the bottom surface
+p1 = (-20, -20, 1800)
+p2 = (4020, -20, 2100)
+p3 = (4020, 4020, 2800)
+p4 = (-20, 4020, 800)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf2.quadxy(nnodes, pts)
+#mosurf2.paraview()
+mosurf2.minmax_xyz()
+mosurf2.dump('tmp_surf2_quad.inp')
+
+#********************************************
+# 04 Use the surfaces to define regions and set
+# vertex and cell ids
+#********************************************
+# Define Regions
+sf1 = mosurf1.surface('sf1')
+sf2 = mosurf2.surface('sf2')
+
+r1 = mo.region('le ' + str(sf1))
+r2 = mo.region('gt ' + str(sf1) + ' and ' + 'le ' + str(sf2))
+r3 = mo.region('gt ' + str(sf2))
+
+mosurf1.delete()
+mosurf2.delete()
+
+# Create Eltsets and PSets from Regions
+pset1 = mo.pset_region(r1)
+pset2 = mo.pset_region(r2)
+pset3 = mo.pset_region(r3)
+
+eltset1 = mo.eltset_region(r1)
+eltset2 = mo.eltset_region(r2)
+eltset3 = mo.eltset_region(r3)
+
+#Set Attributes from Eltsets and PSets
+pset1.setatt('imt', 1)
+pset2.setatt('imt', 2)
+pset3.setatt('imt', 3)
+
+eltset1.setatt('itetclr', 1)
+eltset2.setatt('itetclr', 2)
+eltset3.setatt('itetclr', 3)
+
+#********************************************
+# 05 Build a fault surface and define stratigraphy 
+# on each side of the fault
+#********************************************
+# Create fault surface and surfaces to either side of fault
+mosurf1_fminus = lg.create_qua()       
+p1 = (-20, -20, 1000)
+p2 = (4020, -20, 1500)
+p3 = (4020, 4020, 2500)
+p4 = (-20, 4020, 500)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf1_fminus .quadxy(nnodes, pts)
+#mosurf1_fminus .paraview()
+mosurf1_fminus .minmax_xyz()
+mosurf1_fminus .dump('tmp_s1_fm.inp')
+
+mosurf2_fminus = lg.create_qua()      
+p1 = (-20, -20, 1800)
+p2 = (4020, -20, 2100)
+p3 = (4020, 4020, 2800)
+p4 = (-20, 4020, 800)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf2_fminus.quadxy(nnodes, pts)
+#mosurf2_fminus.paraview()
+mosurf2_fminus.minmax_xyz()
+mosurf2_fminus.dump('tmp_s2_fm.inp')
+
+mosurf1_fplus = lg.create_qua()      
+p1 = (-20, -20, 1400)
+p2 = (4020, -20, 1900)
+p3 = (4020, 4020, 2900)
+p4 = (-20, 4020, 900)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf1_fplus.quadxy(nnodes, pts)
+#mosurf1_fplus.paraview()
+mosurf1_fplus.minmax_xyz()
+mosurf1_fplus.dump('mosurf1_fplus.inp')
+
+mosurf2_fplus = lg.create_qua()      
+p1 = (-20, -20, 2200)
+p2 = (4020, -20, 2500)
+p3 = (4020, 4020, 3200)
+p4 = (-20, 4020, 1200)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf2_fplus.quadxy(nnodes, pts)
+#mosurf2_fplus.paraview()
+mosurf2_fplus.minmax_xyz()
+mosurf2_fplus.dump('mosurf2_fplus.inp')
+
+mosurf_fault = lg.create_qua()      
+p1 = (-20, -20, -1.e4)
+p2 = (4020, -20, -1.e4)
+p3 = (4020, 4020, 1.e4)
+p4 = (-20, 4020, 1.e4)
+pts = [p1, p2, p3, p4]
+nnodes = (numX, numY, 1)
+mosurf_fault.quadxy(nnodes, pts)
+#mosurf_fault.paraview()
+mosurf_fault.minmax_xyz()
+mosurf_fault.dump('mosurf_fault.inp')
+
+# Define geometry of hydrostratigraphic model
+sf1_fm = mosurf1_fminus.surface('sf1_fm')
+sf2_fm = mosurf2_fminus.surface('sf2_fm')
+sf1_fp = mosurf1_fplus.surface('sf1_fp')
+sf2_fp = mosurf2_fplus.surface('sf2_fp')
+sf_f = mosurf_fault.surface('sf_f')
+
+r1_fm = mo.region('le ' + str(sf1_fm) + ' and ' + 'le ' + str(sf_f))
+r2_fm = mo.region('gt ' + str(sf1_fm) + ' and ' + 'le ' + str(sf2_fm) + ' and ' + 'le ' + str(sf_f))
+r3_fm = mo.region('gt ' + str(sf2_fm) + ' and ' + 'le ' + str(sf_f))
+r1_fp = mo.region('le ' + str(sf1_fp) + ' and ' + 'gt ' + str(sf_f))
+r2_fp = mo.region('gt ' + str(sf1_fp) + ' and ' + 'le ' + str(sf2_fp) + ' and ' + 'gt ' + str(sf_f))
+r3_fp = mo.region('gt ' + str(sf2_fp) + ' and ' + 'gt ' + str(sf_f))
+
+mosurf1_fminus.delete()
+mosurf2_fminus.delete()
+mosurf1_fplus.delete()
+mosurf2_fplus.delete()
+mosurf_fault.delete()
+
+# Set fault node and element materials
+pset1_fm = mo.pset_region(r1_fm)
+pset2_fm = mo.pset_region(r2_fm)
+pset3_fm = mo.pset_region(r3_fm)
+pset1_fp = mo.pset_region(r1_fp)
+pset2_fp = mo.pset_region(r2_fp)
+pset3_fp = mo.pset_region(r3_fp)
+
+eltset1_fm = mo.eltset_region(r1_fm)
+eltset2_fm = mo.eltset_region(r2_fm)
+eltset3_fm = mo.eltset_region(r3_fm)
+eltset1_fp = mo.eltset_region(r1_fp)
+eltset2_fp = mo.eltset_region(r2_fp)
+eltset3_fp = mo.eltset_region(r3_fp)
+
+#Set Attributes from Eltsets and PSets
+mo.setatt('imt', 7)
+mo.setatt('itetclr', 7)
+
+pset1_fm.setatt('imt', 1)
+pset2_fm.setatt('imt', 2)
+pset3_fm.setatt('imt', 3)
+pset1_fp.setatt('imt', 4)
+pset2_fp.setatt('imt', 5)
+pset3_fp.setatt('imt', 6)
+
+eltset1_fm.setatt('itetclr', 1)
+eltset2_fm.setatt('itetclr', 2)
+eltset3_fm.setatt('itetclr', 3)
+eltset1_fp.setatt('itetclr', 4)
+eltset2_fp.setatt('itetclr', 5)
+eltset3_fp.setatt('itetclr', 6)
+
+#********************************************
+# 06 Define a polyline and truncate the exterior boundary of the mesh with the polyline
+#********************************************
+# Read boundary polygon file
+mobndry = lg.read('basin_bnd_ply_rescale.inp')
+
+# Extrude the polyline into a vertical surface
+mofence = mobndry.extrude(3200, 'const', 'volume', [0, 0, -1])
+
+mobndry.minmax_xyz()
+mofence.minmax_xyz()
+
+# Translate the extrusion to make it cover the vertical extent of the hex mesh
+mofence.trans((0, 0, -3100), (0, 0 ,0))
+
+mofence.minmax_xyz()
+#mofence.paraview()
+#mofence.dump('3D_vertical_surface.inp')
+#mo.dump('cube.inp')
+
+# Truncate mesh
+sf_bndry = mofence.surface('sf_bndry')
+r_bndry = mo.region('ge ' + str(sf_bndry))
+pset_bndry = mo.pset_region(r_bndry)
+
+mobndry.delete()
+mofence.delete()
+
+# Method 1: Only remove a cell if ALL vertices are outside
+e_delete1 = pset_bndry.eltset('exclusive')
+
+# Method 2: Remove a cell if the centroid (average of all vertices) is outside
+e_delete2 = mo.eltset_region(r_bndry)
+
+# Method 3: Remove a cell if one or more vertices are outside
+e_delete3 = pset_bndry.eltset('inclusive')
+
+#mo.addatt('id_in_out_bndry', vtype='vint', rank='scalar', length='nelements')
+mo.add_element_attribute('id_in_out_bndry', vtype='vint')
+mo.setatt('id_in_out_bndry', 4)              #Fill the entire attribute with 4
+e_delete3.setatt('id_in_out_bndry', 3)          
+e_delete2.setatt('id_in_out_bndry', 2)
+e_delete1.setatt('id_in_out_bndry', 1)
+
+eltset4 = mo.eltset_attribute('id_in_out_bndry', 4, 'eq')
+eltset3 = mo.eltset_attribute('id_in_out_bndry', 3, 'eq')
+#eltset2 = mo.eltset_attribute('id_in_out_bndry', 2, 'eq')
+#eltset1 = mo.eltset_attribute('id_in_out_bndry', 1, 'eq')
+
+mo.rmpoint_eltset(eltset4, False, False)
+mo.rmpoint_eltset(eltset3, True, True)
+
+#********************************************
+# 07 Refine the mesh around the fault
+#********************************************
+f_zone = mo.intersect_elements(sf_f, 'f_zone')
+fz_i = mo.eltset_attribute('f_zone', 0, 'gt')     #Non-zero indicates intersection
+fz_i.refine()
+
+mo.delatt('f_zone')
+
+mo.status (brief=True)
+
+#sf_f.delete()
+#sf1_fm.delete()
+#sf2_fm.delete()
+#sf1_fp.delete()
+#sf1_fp.delete()
+#sf_bndry.delete()
+
+#********************************************
+# 08 Insert a couple of 'wells' by refining the mesh and identifying a line of nodes
+# that will be the well source/sink for boundary conditions.
+#********************************************
+Well1X = 1234.56
+Well1Y = 1987.65
+Well2X = 2243.21
+Well2Y = 1212.34
+Radius = 25
+NRadius = 2
+
+#Well 1
+mowell1 = lg.create_tet()
+mowell1.createpts_rtz((NRadius, 9, numZ), (0, 0, 3100), (Radius, 360, 1500))   #Create a cylindrical point cloud 
+
+mowell1.filter()              # Filter (delete) points that are too close ( default distance <=1.e-16) or duplicate points
+mowell1.rmpoint_compress()    # Remove all marked nodes and correct the itet array
+mowell1.setatt('imt', 1)
+
+mowell1.connect()             # Connect the point cloud
+mowell1.resetpts_itp()
+mowell1.minmax_xyz()
+
+mowell1.trans((0, 0, 0), (Well1X, Well1Y, 0))
+mowell1.minmax_xyz()
+#mowell1.paraview()
+mowell1.dump('tmp_well1.inp')
+
+#Well 2
+mowell2 = lg.create_tet()
+mowell2.createpts_rtz((NRadius, 9, numZ), (0, 0, 3100), (Radius, 360, 2200))   
+
+mowell2.filter()              
+mowell2.rmpoint_compress()    
+mowell2.setatt('imt', 1)
+
+mowell2.connect()             
+mowell2.resetpts_itp()
+mowell2.minmax_xyz()
+
+mowell2.trans((0, 0, 0), (Well2X, Well2Y, 0))
+mowell2.minmax_xyz()
+#mowell2.paraview()
+mowell2.dump('tmp_well2.inp')
+
+# Join the two distinct wells into a single mesh object 
+mowells = lg.merge([mowell1, mowell2])
+mowells.dump('tmp_wells.inp') 
+#mowells.paraview()
+
+# Refine the mo around the wells
+# First pass refinement
+w_zone = mo.intersect_elements(mowells, 'w_zone')
+wz_i = mo.eltset_attribute('w_zone', 0, 'gt')     #Non-zero indicates intersection
+wz_i.refine()
+mo.setatt('w_zone', 0)
+#wz_i.delete()
+
+# Second pass refinement
+w_zone = mo.intersect_elements(mowells, 'w_zone')
+wz_i = mo.eltset_attribute('w_zone', 0, 'gt')     #Non-zero indicates intersection
+wz_i.refine()
+mo.setatt('w_zone', 0)
+#wz_i.delete()
+
+mohex = mo.grid2grid_tree_to_fe()                         #Quadtree or octree grid to grid
+
+#mo.status (brief=True)
+
+# Identify the column of vertices closest to the well center.
+#Well1
+mo_pts1 = lg.create()
+mo_pts1.createpts_rtz((2, 2, 1000), (0, 0, 3100), (Radius, 360, 2200))   
+mo_pts1.trans((0, 0, 0), (Well1X, Well1Y, 0))
+
+#Well2
+mo_pts2 = lg.create()
+mo_pts2.createpts_rtz((2, 2, 1000), (0, 0, 3100), (Radius, 360, 2200))   
+mo_pts2.trans((0, 0, 0), (Well2X, Well2Y, 0))
+
+mo_pts = lg.merge([mo_pts1, mo_pts2])
+mo_pts.filter()              
+mo_pts.rmpoint_compress()   
+
+# Compute a distance field attribute
+mo.compute_distance(mo_pts, option='distance_field', attname='dfield_well')
+
+mo_pts1.delete()
+mo_pts2.delete()
+mo_pts.delete()
+mowell1.delete()
+mowell2.delete()
+mowells.delete()
+
+# Describe all nodes within 32, 16, 8, 4, 2 and 1 meters of the wells.
+pwell = mo.pset_attribute('dfield_well', 1.0, 'le', (1,0,0), 'pwell1')
+pwell.dump('zone_radius_01.0.zone')
+
+pwell = mo.pset_attribute('dfield_well', 2.0, 'le', (1,0,0), 'pwell2')
+pwell.dump('zone_radius_02.0.zone')
+
+pwell = mo.pset_attribute('dfield_well', 4.0, 'le', (1,0,0), 'pwell4')
+pwell.dump('zone_radius_04.0.zone')
+
+pwell = mo.pset_attribute('dfield_well', 8.0, 'le', (1,0,0), 'pwell8')
+pwell.dump('zone_radius_08.0.zone')
+
+pwell = mo.pset_attribute('dfield_well', 16.0, 'le', (1,0,0), 'pwell16')
+pwell.dump('zone_radius_16.0.zone')
+
+pwell = mo.pset_attribute('dfield_well', 32.0, 'le', (1,0,0), 'pwell32')
+pwell.dump('zone_radius_32.0.zone')
+
+mo.dump('Hex_mesh.inp') 
+
+#********************************************
+# 09 Convert hex mesh to tet mesh
+#********************************************
+motet = mohex.copypts()
+motet.setatt('imt', 1)
+motet.setatt('itp', 0)
+motet.connect(option1='check_interface')
+motet.resetpts_itp()
+
+motet.interpolate_voronoi('imt', mohex, 'imt')
+motet.interpolate_map('itetclr', mohex, 'itetclr')
+
+#Remove all nodes and elements with imt and itetclr values of 7
+motet.rmmat(7)
+#pset7 = motet.pset_attribute('imt', 7, 'eq', (1,0,0), 'pset7')
+#motet.rmpoint_pset(pset7)
+#eltset7 = motet.eltset_attribute('itetclr', 7, 'eq')
+#motet.rmpoint_eltset(eltset7, True, True)
+
+motet.rmpoint_compress() 
+motet.resetpts_itp()
+
+# Visualize connected mesh using ParaView
+# This assumes that pylagritrc is being used so that exe option does not need to be specified
+#motet.paraview()
+
+motet.dump('Tet_mesh.inp')
+
+#********************************************
+# 10 Write tet mesh files for FEHM
+# FEHM uses node based materials and properties
+#********************************************
+#motet.resetpts_parent()
+motet.filter() 
+motet.rmpoint_compress() 
+motet.resetpts_itp()
+motet.minmax('imt')
+motet.setatt('itetclr', 1)
+#motet. tri_mesh_output_prep()
+motet.dump_fehm('Example3')
+
+
+