Changeset 26638
- Timestamp:
- 11/18/21 03:55:05 (3 years ago)
- Location:
- issm/trunk-jpl/test/NightlyRun
- Files:
-
- 21 edited
Legend:
- Unmodified
- Added
- Removed
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issm/trunk-jpl/test/NightlyRun/test2001.py
r26358 r26638 2 2 #GIA test, based off of test101. Running default GIA Ivins class. 3 3 import numpy as np 4 4 from socket import gethostname 5 5 from materials import * 6 6 from MatlabFuncs import * … … 56 56 57 57 #Solve for GIA deflection 58 md.cluster = generic('name', oshostname(), 'np', 3)58 md.cluster = generic('name', gethostname(), 'np', 3) 59 59 md.verbose.solver = 0 60 60 md = solve(md, 'Transient') -
issm/trunk-jpl/test/NightlyRun/test2003.py
r26358 r26638 1 1 #Test Name: EarthSlc_rotationalFeedback 2 2 import numpy as np 3 3 from socket import gethostname 4 4 from gmshplanet import * 5 5 from gmtmask import * … … 95 95 md.solidearth.settings.rotation = 0 96 96 md.solidearth.settings.viscous = 0 97 md.cluster = generic('name', oshostname(), 'np', 3)97 md.cluster = generic('name', gethostname(), 'np', 3) 98 98 #md.verbose = verbose('111111111') 99 99 md = solve(md, 'Transient') … … 108 108 md.solidearth.settings.rotation = 1 109 109 md.solidearth.settings.viscous = 0 110 md.cluster = generic('name', oshostname(), 'np', 3)110 md.cluster = generic('name', gethostname(), 'np', 3) 111 111 #md.verbose = verbose('111111111') 112 112 md = solve(md, 'Transient') -
issm/trunk-jpl/test/NightlyRun/test2006.py
r26358 r26638 1 1 #Test Name: EarthSlc Dakota Sampling glaciers 2 2 import numpy as np 3 3 from socket import gethostname 4 4 from dmeth_params_set import * 5 5 from gmshplanet import * … … 17 17 # Mesh earth 18 18 md = model() 19 md.cluster = generic('name', oshostname(), 'np', 5)19 md.cluster = generic('name', gethostname(), 'np', 5) 20 20 md.mesh = gmshplanet('radius', 6.371012 * 1e3, 'resolution', 700.) #700 km resolution mesh 21 21 … … 56 56 57 57 icemask = np.ones((md.mesh.numberofvertices, 1)) 58 # NOTE: Need to be careful here: when addressing with multidimensional array in 58 # NOTE: Need to be careful here: when addressing with multidimensional array in 59 59 # MATLAB, only first column of values are used as indices 60 60 # -
issm/trunk-jpl/test/NightlyRun/test2010.py
r26358 r26638 1 1 #Test Name: MomentOfIntertia 2 2 import numpy as np 3 3 from socket import gethostname 4 4 from gmshplanet import * 5 5 from gmtmask import * 6 6 from lovenumbers import * 7 from MatlabFuncs import *8 7 from model import * 9 8 from paterson import * … … 105 104 md.solidearth.settings.rotation = 1 106 105 md.solidearth.settings.viscous = 0 107 md.cluster = generic('name', oshostname(), 'np', 3)106 md.cluster = generic('name', gethostname(), 'np', 3) 108 107 md = solve(md, 'Transient') 109 108 -
issm/trunk-jpl/test/NightlyRun/test2084.py
r26358 r26638 1 1 #Test Name: GiaCaron 2 # Forward Love number solution for a viscoelastic earth, model M3-L70-V01 from 3 # Spada, G., Barletta, V. R., Klemann, V., Riva, R. E. M., Martinec, Z., 4 # Gasperini, P., Lund, B., Wolf, D., Vermeersen, L. L. A. and King, M. A. 5 # (2011), A benchmark study for glacial isostatic adjustment codes. Geophysical 2 # Forward Love number solution for a viscoelastic earth, model M3-L70-V01 from 3 # Spada, G., Barletta, V. R., Klemann, V., Riva, R. E. M., Martinec, Z., 4 # Gasperini, P., Lund, B., Wolf, D., Vermeersen, L. L. A. and King, M. A. 5 # (2011), A benchmark study for glacial isostatic adjustment codes. Geophysical 6 6 # Journal International, 185: 106--132. doi:10.1111/j.1365-246X.2011.04952.x 7 7 … … 10 10 from generic import generic 11 11 from materials import * 12 from MatlabFuncs import *12 from socket import gethostname 13 13 from model import * 14 14 from solve import * 15 15 16 16 md = model() 17 md.cluster = generic('name', oshostname(), 'np', 1)17 md.cluster = generic('name', gethostname(), 'np', 1) 18 18 19 19 # Set validation=1 for comparing against the Spada benchark -
issm/trunk-jpl/test/NightlyRun/test257.py
r26637 r26638 1 1 #Test Name: SquareShelfSMBautoregression 2 from __future__ import division # TODO: Remove this import after ISSM is updated to use Python 3 by default 3 2 from __future__ import division # TODO: Remove this import after ISSM is updated to use Python 3 by default 4 3 import numpy as np 5 6 from MatlabFuncs import *7 4 from model import * 8 from parameterize import * 9 from setflowequation import * 10 from setmask import * 11 from SMBautoregression import * 12 from solve import * 13 from triangle import * 5 from socket import gethostname 6 from parameterize import parameterize 7 from setflowequation import setflowequation 8 from setmask import setmask 9 from SMBautoregression import SMBautoregression 10 from solve import solve 11 from triangle import triangle 14 12 15 13 … … 18 16 md = parameterize(md, '../Par/SquareShelfConstrained.py') 19 17 md = setflowequation(md, 'SSA', 'all') 20 md.cluster = generic('name', oshostname(), 'np', 3)18 md.cluster = generic('name', gethostname(), 'np', 3) 21 19 md.transient.requested_outputs = ['default', 'IceVolume', 'SmbMassBalance'] 22 20 … … 56 54 md.stochasticforcing.isstochasticforcing = 1 57 55 md.stochasticforcing.fields = ['SMBautoregression'] 58 md.stochasticforcing.covariance = np.array([[0.15, 0.08, -0.02], [0.08, 0.12, -0.05], [-0.02, -0.05, 0.1]]) # global covariance among- and between-fields59 md.stochasticforcing.randomflag = 0 # fixed random seeds56 md.stochasticforcing.covariance = np.array([[0.15, 0.08, -0.02], [0.08, 0.12, -0.05], [-0.02, -0.05, 0.1]]) # global covariance among- and between-fields 57 md.stochasticforcing.randomflag = 0 # fixed random seeds 60 58 61 59 -
issm/trunk-jpl/test/NightlyRun/test350.py
r25850 r26638 3 3 4 4 from frictionshakti import frictionshakti 5 from MatlabFuncs import oshostname5 from socket import gethostname 6 6 from model import * 7 7 from operator import itemgetter … … 21 21 md.transient.ishydrology = 1 22 22 md = setflowequation(md, 'SSA', 'all') 23 md.cluster = generic('name', oshostname(), 'np', 2)23 md.cluster = generic('name', gethostname(), 'np', 2) 24 24 25 25 #Use hydrology coupled friction law -
issm/trunk-jpl/test/NightlyRun/test356.py
r25806 r26638 3 3 4 4 from frictionschoof import frictionschoof 5 from MatlabFuncs import oshostname5 from socket import gethostname 6 6 from model import * 7 7 from parameterize import parameterize … … 40 40 md.inversion.vy_obs= md.initialization.vy 41 41 42 md.cluster = generic('name', oshostname(), 'np', 3)42 md.cluster = generic('name', gethostname(), 'np', 3) 43 43 md = solve(md, 'Stressbalance') 44 44 -
issm/trunk-jpl/test/NightlyRun/test440.py
r25135 r26638 1 1 #Test Name: SquareSheetShelfDakotaScaledResponseLinearPart 2 2 import numpy as np 3 from socket import gethostname 3 4 from model import * 4 5 from triangle import * … … 15 16 md = parameterize(md, '../Par/SquareSheetShelf.py') 16 17 md = setflowequation(md, 'SSA', 'all') 17 md.cluster = generic('name', oshostname(), 'np', 3)18 md.cluster = generic('name', gethostname(), 'np', 3) 18 19 19 20 #partitioning -
issm/trunk-jpl/test/NightlyRun/test444.py
r25806 r26638 2 2 3 3 # TODO: 4 # - Figure out why test fails intermittently on Mac with "IndexError: list 4 # - Figure out why test fails intermittently on Mac with "IndexError: list 5 5 # index out of range" 6 6 # … … 10 10 from ContourToMesh import * 11 11 from dmeth_params_set import * 12 from MatlabFuncs import oshostname12 from socket import gethostname 13 13 from model import * 14 14 from parameterize import * … … 37 37 md.settings.output_frequency = 3 38 38 md = setflowequation(md, 'SSA', 'all') 39 md.cluster = generic('name', oshostname(), 'np', 3)39 md.cluster = generic('name', gethostname(), 'np', 3) 40 40 41 41 regionalmask = np.zeros((md.mesh.numberofvertices, )) -
issm/trunk-jpl/test/NightlyRun/test481.py
r25806 r26638 3 3 4 4 from frictionschoof import frictionschoof 5 from MatlabFuncs import oshostname5 from socket import gethostname 6 6 from model import * 7 7 from parameterize import parameterize … … 22 22 md.friction.Cmax = 0.5 * np.ones((md.mesh.numberofvertices, 1)) 23 23 md.friction.m = 1./3.* np.ones((md.mesh.numberofelements, 1)) 24 md.cluster = generic('name', oshostname(), 'np', 3)24 md.cluster = generic('name', gethostname(), 'np', 3) 25 25 md = solve(md, 'Transient') 26 26 -
issm/trunk-jpl/test/NightlyRun/test540.py
r25841 r26638 2 2 import numpy as np 3 3 from calvingvonmises import * 4 from MatlabFuncs import oshostname4 from socket import gethostname 5 5 from model import * 6 6 from parameterize import * … … 30 30 #Force MUMPS sequential analysis 31 31 md.toolkits.DefaultAnalysis.mat_mumps_icntl_28 = 1 32 md.cluster = generic('name', oshostname(), 'np', 2)32 md.cluster = generic('name', gethostname(), 'np', 2) 33 33 md = solve(md, 'Transient') 34 34 -
issm/trunk-jpl/test/NightlyRun/test541.py
r25841 r26638 2 2 import numpy as np 3 3 from calvingvonmises import * 4 from MatlabFuncs import oshostname4 from socket import gethostname 5 5 from model import * 6 6 from parameterize import * … … 30 30 #Force MUMPS sequential analysis 31 31 md.toolkits.DefaultAnalysis.mat_mumps_icntl_28 = 1 32 md.cluster = generic('name', oshostname(), 'np', 2)32 md.cluster = generic('name', gethostname(), 'np', 2) 33 33 md = solve(md, 'Transient') 34 34 -
issm/trunk-jpl/test/NightlyRun/test542.py
r26637 r26638 4 4 from calvingvonmises import * 5 5 from frontalforcingsrignot import * 6 from MatlabFuncs import *6 from socket import gethostname 7 7 from model import * 8 8 from parameterize import * … … 47 47 48 48 md.transient.requested_outputs = ['default', 'CalvingMeltingrate'] 49 md.cluster = generic('name', oshostname(), 'np', 2)49 md.cluster = generic('name', gethostname(), 'np', 2) 50 50 md = solve(md, 'Transient') 51 51 -
issm/trunk-jpl/test/NightlyRun/test543.py
r26637 r26638 4 4 from calvingvonmises import * 5 5 from frontalforcingsrignotautoregression import * 6 from MatlabFuncs import *6 from socket import gethostname 7 7 from model import * 8 8 from parameterize import * … … 59 59 60 60 md.transient.requested_outputs = ['default', 'CalvingMeltingrate'] 61 md.cluster = generic('name', oshostname(), 'np', 2)61 md.cluster = generic('name', gethostname(), 'np', 2) 62 62 md = solve(md, 'Transient') 63 63 -
issm/trunk-jpl/test/NightlyRun/test804.py
r26054 r26638 1 1 #Test Name: ValleyGlacierLevelsetCalvingSIA2d 2 2 import numpy as np 3 from MatlabFuncs import oshostname3 from socket import gethostname 4 4 from model import * 5 5 from parameterize import * … … 14 14 md = parameterize(md, '../Par/ValleyGlacierShelf.py') 15 15 md = setflowequation(md, 'SIA', 'all') 16 md.cluster = generic('name', oshostname(), 'np', 3)16 md.cluster = generic('name', gethostname(), 'np', 3) 17 17 18 18 #Transient -
issm/trunk-jpl/test/NightlyRun/test805.py
r26054 r26638 1 1 #Test Name: ValleyGlacierLevelsetEnthCalvingHO3d 2 2 import numpy as np 3 from MatlabFuncs import oshostname3 from socket import gethostname 4 4 from model import * 5 5 from parameterize import * … … 15 15 md.extrude(3, 2.) 16 16 md = setflowequation(md, 'HO', 'all') 17 md.cluster = generic('name', oshostname(), 'np', 3)17 md.cluster = generic('name', gethostname(), 'np', 3) 18 18 19 19 #Thermal model -
issm/trunk-jpl/test/NightlyRun/test806.py
r26054 r26638 1 1 #Test Name: SquareShelfLevelsetCalvingSSA2dLevermann 2 2 import numpy as np 3 from MatlabFuncs import oshostname3 from socket import gethostname 4 4 from model import * 5 5 from parameterize import * … … 13 13 md = parameterize(md, '../Par/SquareShelf.py') 14 14 md = setflowequation(md, 'SSA', 'all') 15 md.cluster = generic('name', oshostname(), 'np', 3)15 md.cluster = generic('name', gethostname(), 'np', 3) 16 16 17 17 x = md.mesh.x -
issm/trunk-jpl/test/NightlyRun/test808.py
r26054 r26638 2 2 import numpy as np 3 3 from calvingminthickness import * 4 from MatlabFuncs import oshostname4 from socket import gethostname 5 5 from model import * 6 6 from parameterize import * … … 14 14 md = parameterize(md, '../Par/SquareShelf.py') 15 15 md = setflowequation(md, 'SSA', 'all') 16 md.cluster = generic('name', oshostname(), 'np', 3)16 md.cluster = generic('name', gethostname(), 'np', 3) 17 17 18 18 #Do not kill ice bergs as all is floating -
issm/trunk-jpl/test/NightlyRun/test809.py
r26054 r26638 2 2 import numpy as np 3 3 from calvingcrevassedepth import * 4 from MatlabFuncs import oshostname4 from socket import gethostname 5 5 from model import * 6 6 from parameterize import * … … 16 16 md.timestepping.time_step = 2 17 17 md.timestepping.final_time = 50 18 md.cluster = generic('name', oshostname(), 'np', 3)18 md.cluster = generic('name', gethostname(), 'np', 3) 19 19 20 20 #Transient -
issm/trunk-jpl/test/NightlyRun/test812.py
r26555 r26638 1 1 #Test Name: SquareShelfLevelsetCalvingMLHO2dLevermann 2 2 import numpy as np 3 from MatlabFuncs import oshostname3 from socket import gethostname 4 4 from model import * 5 5 from parameterize import * … … 13 13 md = parameterize(md, '../Par/SquareShelf.py') 14 14 md = setflowequation(md, 'MLHO', 'all') 15 md.cluster = generic('name', oshostname(), 'np', 3)15 md.cluster = generic('name', gethostname(), 'np', 3) 16 16 17 17 x = md.mesh.x
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