def run(self):
"""
Generate the database.
"""
from axialdisp_soln import AnalyticalSoln
soln = AnalyticalSoln()
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 3
cs._configure()
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
for component in ["x", "y", "z"]:
if component == "x":
xyz = numpy.array([[-40.0e+3, 0.0, 0.0], [+40.0e+3, 0.0, 0.0]],
dtype=numpy.float64)
ic = 0
elif component == "y":
xyz = numpy.array([[0.0, -40.0e+3, 0.0], [0.0, +40.0e+3, 0.0]],
dtype=numpy.float64)
ic = 1
elif component == "z":
xyz = numpy.array([[0.0, 0.0, -40.0e+3], [0.0, 0.0, 0.0]],
dtype=numpy.float64)
ic = 2
disp = soln.displacement(xyz)
io.inventory.filename = "axial_disp%s.spatialdb" % component
io._configure()
data = {
'points':
xyz,
'coordsys':
cs,
'data_dim':
1,
'values': [
{
'name': "displacement-%s" % component,
'units': "m",
'data': numpy.ravel(disp[0, :, ic])
},
]
}
io.write(data)
return
def generate(sim, fileRoot, materials):
for material in materials:
filenameH5 = "../output/%s-%s.h5" % (sim, material)
filenameDB = "%s-%s.spatialdb" % (fileRoot, material)
# Open HDF5 file and get coordinates, cells, and stress.
h5 = h5py.File(filenameH5, "r")
vertices = h5['geometry/vertices'][:]
cells = numpy.array(h5['topology/cells'][:], dtype=numpy.int)
# Get stresses from final time step.
stress = h5['cell_fields/stress'][-1,:,:]
h5.close()
# Compute coordinates of quadrature points.
quadCoords = getCellCenters(vertices, cells)
# Create writer for spatial database file
writer = SimpleIOAscii()
writer.inventory.filename = filenameDB
writer._configure()
values = [{'name': "stress-xx",
'units': "Pa",
'data': stress[:,0]},
{'name': "stress-yy",
'units': "Pa",
'data': stress[:,1]},
{'name': "stress-zz",
'units': "Pa",
'data': stress[:,2]},
{'name': "stress-xy",
'units': "Pa",
'data': stress[:,3]},
{'name': "stress-yz",
'units': "Pa",
'data': stress[:,4]},
{'name': "stress-xz",
'units': "Pa",
'data': stress[:,5]},
]
writer.write({'points': quadCoords,
'coordsys': cs,
'data_dim': 3,
'values': values})
return
def run(self):
"""
Generate the database.
"""
# Domain
dx = 200.0
x = numpy.arange(-1000.0, 1000.1, dx)
y = numpy.arange(-1000.0, 0.1, dx)
nptsx = x.shape[0]
nptsy = y.shape[0]
xx = x * numpy.ones((nptsy, 1), dtype=numpy.float64)
yy = y * numpy.ones((nptsx, 1), dtype=numpy.float64)
xy = numpy.zeros((nptsx * nptsy, 2), dtype=numpy.float64)
xy[:, 0] = numpy.ravel(xx)
xy[:, 1] = numpy.ravel(numpy.transpose(yy))
from shearrotate_soln import AnalyticalSoln
soln = AnalyticalSoln()
disp = soln.displacement(xy)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
data = {
'points':
xy,
'coordsys':
cs,
'data_dim':
2,
'values': [{
'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[0, :, 0])
}, {
'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[0, :, 1])
}]
}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = "shearrotate_disp.spatialdb"
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
x = numpy.arange(-4000.0, 4000.1, 1000.0)
y = numpy.arange(-4000.0, 4000.1, 1000.0)
z = numpy.arange(-6000.0, 0000.1, 1000.0)
nptsX = x.shape[0]
nptsY = y.shape[0]
nptsZ = z.shape[0]
xx = x * numpy.ones( (nptsY*nptsZ, 1), dtype=numpy.float64)
yy0 = y * numpy.ones( (nptsZ, 1), dtype=numpy.float64)
yy = yy0.ravel() * numpy.ones( (nptsX, 1), dtype=numpy.float64)
zz = z * numpy.ones( (nptsX*nptsY, 1), dtype=numpy.float64)
xyz = numpy.zeros( (nptsX*nptsY*nptsZ, 3), dtype=numpy.float64)
xyz[:,0] = numpy.ravel(xx)
xyz[:,1] = numpy.ravel(numpy.transpose(yy))
xyz[:,2] = numpy.ravel(numpy.transpose(zz))
from rigidbody_soln import AnalyticalSoln
soln = AnalyticalSoln()
disp = soln.displacement(xyz)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 3
cs._configure()
data = {'locs': xyz,
'coordsys': cs,
'data_dim': 2,
'values': [{'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[:,0])},
{'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[:,1])},
{'name': "displacement-z",
'units': "m",
'data': numpy.ravel(disp[:,2])}]}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = "rigidbody_disp.spatialdb"
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
x = numpy.arange(-4000.0, 4000.1, 500.0)
y = numpy.arange(-4000.0, 4000.1, 500.0)
z = numpy.arange(-6000.0, 0.1, 500.0)
nxpts = x.shape[0]
nypts = y.shape[0]
nzpts = z.shape[0]
xx = numpy.tile(x, (1,nypts*nzpts))
yy = numpy.tile(y, (nxpts,nzpts)).transpose()
zz = numpy.tile(z, (nxpts*nypts,1)).transpose()
xyz = numpy.zeros( (nxpts*nypts*nzpts, 3), dtype=numpy.float64)
xyz[:,0] = numpy.ravel(xx)
xyz[:,1] = numpy.ravel(yy)
xyz[:,2] = numpy.ravel(zz)
from axialdisp_soln import AnalyticalSoln
soln = AnalyticalSoln()
disp = soln.displacement(xyz)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 3
cs._configure()
data = {'points': xyz,
'coordsys': cs,
'data_dim': 3,
'values': [{'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[:,0])},
{'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[:,1])},
{'name': "displacement-z",
'units': "m",
'data': numpy.ravel(disp[:,2])}]}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = "axial_disp.spatialdb"
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
x = numpy.arange(-4000.0, 4000.1, 500.0)
y = numpy.arange(-4000.0, 4000.1, 500.0)
npts = x.shape[0]
xx = x * numpy.ones((npts, 1), dtype=numpy.float64)
yy = y * numpy.ones((npts, 1), dtype=numpy.float64)
xy = numpy.zeros((npts**2, 2), dtype=numpy.float64)
xy[:, 0] = numpy.ravel(xx)
xy[:, 1] = numpy.ravel(numpy.transpose(yy))
disp = self.soln.displacement(xy)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
data = {
'points':
xy,
'coordsys':
cs,
'data_dim':
2,
'values': [{
'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[0, :, 0])
}, {
'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[0, :, 1])
}]
}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = self.filename
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
from sheardisp_soln import AnalyticalSoln
soln = AnalyticalSoln()
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 3
cs._configure()
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
for component in ["x","y","z"]:
if component == "y":
xyz = numpy.array([[-40.0e+3, 0.0, 0.0],
[+40.0e+3, 0.0, 0.0]], dtype=numpy.float64)
ic = 1
elif component == "x":
xyz = numpy.array([[0.0, -40.0e+3, 0.0],
[0.0, +40.0e+3, 0.0]], dtype=numpy.float64)
ic = 0
elif component == "z":
xyz = numpy.array([[0.0, 0.0, -40.0e+3],
[0.0, 0.0, 0.0]], dtype=numpy.float64)
ic = 2
disp = soln.displacement(xyz)
io.inventory.filename = "shear_disp%s.spatialdb" % component
io._configure()
data = {'points': xyz,
'coordsys': cs,
'data_dim': 1,
'values': [{'name': "displacement-%s" % component,
'units': "m",
'data': numpy.ravel(disp[0,:,ic])},
]}
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
x = numpy.arange(-4000.0, 4000.1, 1000.0)
y = numpy.arange(-4000.0, 4000.1, 1000.0)
npts = x.shape[0]
xx = x * numpy.ones((npts, 1), dtype=numpy.float64)
yy = y * numpy.ones((npts, 1), dtype=numpy.float64)
xy = numpy.zeros((npts ** 2, 2), dtype=numpy.float64)
xy[:, 0] = numpy.ravel(xx)
xy[:, 1] = numpy.ravel(numpy.transpose(yy))
from sheardisp_soln import AnalyticalSoln
soln = AnalyticalSoln()
disp = soln.displacement(xy)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
data = {
"points": xy,
"coordsys": cs,
"data_dim": 2,
"values": [
{"name": "displacement-x", "units": "m", "data": numpy.ravel(disp[0, :, 0])},
{"name": "displacement-y", "units": "m", "data": numpy.ravel(disp[0, :, 1])},
],
}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = "shear_disp.spatialdb"
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
dx = 200.0
x = numpy.arange(-1000.0, 1000.1, dx)
y = numpy.arange(-1000.0, 0.1, dx)
nptsx = x.shape[0]
nptsy = y.shape[0]
xx = x * numpy.ones( (nptsy, 1), dtype=numpy.float64)
yy = y * numpy.ones( (nptsx, 1), dtype=numpy.float64)
xy = numpy.zeros( (nptsx*nptsy, 2), dtype=numpy.float64)
xy[:,0] = numpy.ravel(xx)
xy[:,1] = numpy.ravel(numpy.transpose(yy))
from compressrotate_soln import AnalyticalSoln
soln = AnalyticalSoln()
disp = soln.displacement(xy)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
data = {'points': xy,
'coordsys': cs,
'data_dim': 2,
'values': [{'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[0,:,0])},
{'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[0,:,1])}]}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = "compressrotate_disp.spatialdb"
io._configure()
io.write(data)
return
def run(self):
"""
Generate the database.
"""
# Domain
x = numpy.arange(-4000.0, 4000.1, 500.0)
y = numpy.arange(-4000.0, 4000.1, 500.0)
npts = x.shape[0]
xx = x * numpy.ones( (npts, 1), dtype=numpy.float64)
yy = y * numpy.ones( (npts, 1), dtype=numpy.float64)
xy = numpy.zeros( (npts**2, 2), dtype=numpy.float64)
xy[:,0] = numpy.ravel(xx)
xy[:,1] = numpy.ravel(numpy.transpose(yy))
disp = self.soln.displacement(xy)
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs.inventory.spaceDim = 2
cs._configure()
data = {'points': xy,
'coordsys': cs,
'data_dim': 2,
'values': [{'name': "displacement-x",
'units': "m",
'data': numpy.ravel(disp[0,:,0])},
{'name': "displacement-y",
'units': "m",
'data': numpy.ravel(disp[0,:,1])}]}
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
io = SimpleIOAscii()
io.inventory.filename = self.filename
io._configure()
io.write(data)
return
def test_write(self):
"""
Test write().
"""
# Database info
cs = CSCart()
cs.initialize()
filename = "data/test.spatialdb"
data = {
'points':
numpy.array([[1.0, 2.0, 3.0], [0.5, 3.0, -3.0]], numpy.float64),
'coordsys':
cs,
'data_dim':
1,
'values': [{
'name': "One",
'units': "m",
'data': numpy.array([2.0, 8.0], numpy.float64)
}, {
'name': "Two",
'units': "m",
'data': numpy.array([-2.0, 3.0], numpy.float64)
}]
}
dataDim = 1
qlocs = numpy.array(
[[0.875, 2.25, 1.5], [0.6, 2.8, -1.8], [1.0, 2.0, 3.0]],
numpy.float64)
valsE = numpy.array([[-0.75, 3.5], [2.0, 6.8], [-2.0, 2.0]],
numpy.float64)
errE = [0, 0, 0]
# Write database
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
writer = SimpleIOAscii()
writer.inventory.filename = filename
writer._configure()
writer.write(data)
# Test write using query
from spatialdata.spatialdb.SimpleDB import SimpleDB
db = SimpleDB()
db.inventory.label = "test"
db.inventory.queryType = "linear"
db.inventory.iohandler.inventory.filename = filename
db.inventory.iohandler._configure()
db._configure()
db.open()
db.queryVals(["two", "one"])
vals = numpy.zeros(valsE.shape, dtype=numpy.float64)
err = []
nlocs = qlocs.shape[0]
for i in xrange(nlocs):
e = db.query(vals[i, :], qlocs[i, :], cs)
err.append(e)
db.close()
self.assertEqual(len(valsE.shape), len(vals.shape))
for dE, d in zip(valsE.shape, vals.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(valsE, -1), numpy.reshape(vals, -1)):
self.assertAlmostEqual(vE, v, 6)
return
{
'name': "viscous-strain-xx",
'units': "None",
'data': vstrain[:, 0]
},
{
'name': "viscous-strain-yy",
'units': "None",
'data': vstrain[:, 1]
},
{
'name': "viscous-strain-zz",
'units': "None",
'data': vstrain[:, 2]
},
{
'name': "viscous-strain-xy",
'units': "None",
'data': vstrain[:, 3]
},
]
writer.write({
'points': quadCoords,
'coordsys': cs,
'data_dim': 2,
'values': values
})
# End of file
# Create coordinate system for spatial database
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs._configure()
cs.setSpaceDim(2)
# Create writer for spatial database file
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
writer = SimpleIOAscii()
writer.inventory.filename = "afterslip_tractions.spatialdb"
writer._configure()
writer.write({
'points':
vertices,
'coordsys':
cs,
'data_dim':
1,
'values': [{
'name': "traction-shear",
'units': "Pa",
'data': tractions_shear
}, {
'name': "traction-normal",
'units': "Pa",
'data': tractions_normal
}]
})
# End of file
{'name': "total-strain-xx",
'units': "None",
'data': zeros},
{'name': "total-strain-yy",
'units': "None",
'data': zeros},
{'name': "total-strain-xy",
'units': "None",
'data': zeros},
{'name': "viscous-strain-xx",
'units': "None",
'data': strainViscous[:,0]},
{'name': "viscous-strain-yy",
'units': "None",
'data': strainViscous[:,1]},
{'name': "viscous-strain-zz",
'units': "None",
'data': strainViscous[:,2]},
{'name': "viscous-strain-xy",
'units': "None",
'data': strainViscous[:,3]},
]
writer.write({'points': cellCenters,
'coordsys': cs,
'data_dim': 0,
'values': values})
# End of file
tractionShearLL = maskO*-5.80*(1.0+numpy.cos(numpy.pi*(r-1400.0)/600.0)) + maskI*-11.60
tractionShearUD = 0*tractionShearLL
tractionNormal = 0*tractionShearLL
cs = CSCart()
cs._configure()
cs.initialize()
dataOut = {'points': points,
'coordsys': cs,
'data_dim': 1,
'values': [{'name': 'traction-shear-leftlateral',
'units': 'MPa',
'data': tractionShearLL},
{'name': 'traction-shear-updip',
'units': 'MPa',
'data': tractionShearUD},
{'name': 'traction-normal',
'units': 'MPa',
'data': tractionNormal},
],
}
writer = SimpleIOAscii()
writer.inventory.filename = "initial_traction.spatialdb"
writer._configure()
writer.write(dataOut)
# End of file
def _makeSpatialdb(self):
"""
Function to generate a set of spatial databases (one for each impulse).
"""
# Create empty arrays for impulse values.
# Only array1 will be modified.
array1 = numpy.zeros( (self.numFaultVertices,), dtype=numpy.float64)
array2 = numpy.zeros( (self.numFaultVertices,), dtype=numpy.float64)
# Set up info for arrays that won't be modified.
if (self.impulseType == "left-lateral-slip"):
info2 = {'name': "fault-opening",
'units': "m",
'data': array2.flatten()}
if (self.spaceDim == 3):
info3 = {'name': "reverse-slip",
'units': "m",
'data': array2.flatten()}
elif (self.impulseType == "fault-opening"):
info2 = {'name': "left-lateral-slip",
'units': "m",
'data': array2.flatten()}
if (self.spaceDim == 3):
info3 = {'name': "reverse-slip",
'units': "m",
'data': array2.flatten()}
elif (self.impulseType == "reverse-slip"):
info2 = {'name': "left-lateral-slip",
'units': "m",
'data': array2.flatten()}
info3 = {'name': "fault-opening",
'units': "m",
'data': array2.flatten()}
# Create root output filename.
suffIndex = self.spatialdbOutputRoot.rfind(".spatialdb")
outputRoot = self.spatialdbOutputRoot
if (suffIndex != -1):
outputRoot = self.spatialdbOutputRoot[:suffIndex - 1]
# Set data dimension.
dataDim = self.spaceDim - 1
# Loop over impulses to generate and modify the appropriate entries.
for impulse in range(self.numFaultVertices):
# Set filename
impulseNum = int(impulse)
impulseString = repr(impulseNum).rjust(self.impulseNumberWidth, '0')
filename = outputRoot + "_i" + impulseString + ".spatialdb"
writer = SimpleIOAscii()
writer.inventory.filename = filename
writer._configure()
# Modify database values.
array1[impulse] = self.impulseValue
if (impulse > 0):
array1[impulse - 1] = -self.impulseValue
if (impulse > 1):
array1[impulse - 2] = 0.0
info1 = {'name': self.impulseType,
'units': "m",
'data': array1.flatten()}
# Create data and write it to a database.
if (self.spaceDim == 2):
data = {'points': self.faultVertices,
'coordsys': self.geometry.coordsys,
'data_dim': dataDim,
'values': [info1, info2]}
else:
data = {'points': self.faultVertices,
'coordsys': self.geometry.coordsys,
'data_dim': dataDim,
'values': [info1, info2, info3]}
writer.write(data)
return
def generate(sim, fileRoot, materials):
for material in materials:
filenameH5 = "../output/%s-%s.h5" % (sim, material)
filenameDB = "%s-%s.spatialdb" % (fileRoot, material)
# Open HDF5 file and get coordinates, cells, and stress.
h5 = h5py.File(filenameH5, "r")
vertices = h5['geometry/vertices'][:]
cells = numpy.array(h5['topology/cells'][:], dtype=numpy.int)
# Get stresses from final time step.
stress = h5['cell_fields/stress'][-1, :, :]
h5.close()
# Compute coordinates of quadrature points.
quadCoords = getCellCenters(vertices, cells)
# Create writer for spatial database file
writer = SimpleIOAscii()
writer.inventory.filename = filenameDB
writer._configure()
values = [
{
'name': "stress-xx",
'units': "Pa",
'data': stress[:, 0]
},
{
'name': "stress-yy",
'units': "Pa",
'data': stress[:, 1]
},
{
'name': "stress-zz",
'units': "Pa",
'data': stress[:, 2]
},
{
'name': "stress-xy",
'units': "Pa",
'data': stress[:, 3]
},
{
'name': "stress-yz",
'units': "Pa",
'data': stress[:, 4]
},
{
'name': "stress-xz",
'units': "Pa",
'data': stress[:, 5]
},
]
writer.write({
'points': quadCoords,
'coordsys': cs,
'data_dim': 3,
'values': values
})
return
{'name': "total-strain-xx",
'units': "None",
'data': zeros},
{'name': "total-strain-yy",
'units': "None",
'data': zeros},
{'name': "total-strain-xy",
'units': "None",
'data': zeros},
{'name': "viscous-strain-xx",
'units': "None",
'data': vstrain[:,0]},
{'name': "viscous-strain-yy",
'units': "None",
'data': vstrain[:,1]},
{'name': "viscous-strain-zz",
'units': "None",
'data': vstrain[:,2]},
{'name': "viscous-strain-xy",
'units': "None",
'data': vstrain[:,3]},
]
writer.write({'points': quadCoords,
'coordsys': cs,
'data_dim': 2,
'values': values})
# End of file
# Open HDF5 file and get coordinates, cells, and stress.
h5 = h5py.File(filenameH5, "r")
vertices = h5['geometry/vertices'][:]
cells = numpy.array(h5['topology/cells'][:], dtype=numpy.int)
stress = h5['cell_fields/stress'][0,:,:]
h5.close()
# Get cell centers for output.
cellCoords = vertices[cells,:]
cellCenters = numpy.mean(cellCoords, axis=1)
# Create writer for spatial database file
writer = SimpleIOAscii()
writer.inventory.filename = filenameDB
writer._configure()
writer.write({'points': cellCenters,
'coordsys': cs,
'data_dim': 2,
'values': [{'name': "stress-xx",
'units': "Pa",
'data': stress[:,0]},
{'name': "stress-yy",
'units': "Pa",
'data': stress[:,1]},
{'name': "stress-xy",
'units': "Pa",
'data': stress[:,2]},
]})
# Background shear tractions are reverse (in 2-D right-lateral is negative)
# because the normal tractions are negative.
tractions_bg_shear = coef_friction*tractions_bg_normal
# Combine traction changes and background tractions
tractions_shear = tractions_bg_shear + tractions_change[:,0]
tractions_normal = tractions_bg_normal + tractions_change[:,1]
# Create coordinate system for spatial database
from spatialdata.geocoords.CSCart import CSCart
cs = CSCart()
cs._configure()
cs.setSpaceDim(2)
# Create writer for spatial database file
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
writer = SimpleIOAscii()
writer.inventory.filename = "afterslip_tractions.spatialdb"
writer._configure()
writer.write({'points': vertices,
'coordsys': cs,
'data_dim': 1,
'values': [{'name': "traction-shear",
'units': "Pa",
'data': tractions_shear},
{'name': "traction-normal",
'units': "Pa",
'data': tractions_normal}]})
# End of file
def test_write(self):
"""
Test write().
"""
# Database info
cs = CSCart()
cs.initialize()
filename = "data/test.spatialdb"
data = {'points': numpy.array( [ [1.0, 2.0, 3.0],
[0.5, 3.0, -3.0]], numpy.float64),
'coordsys': cs,
'data_dim': 1,
'values': [{'name': "One",
'units': "m",
'data': numpy.array( [2.0, 8.0], numpy.float64)},
{'name': "Two",
'units': "m",
'data': numpy.array( [-2.0, 3.0], numpy.float64)}]}
dataDim = 1
qlocs = numpy.array( [[0.875, 2.25, 1.5],
[0.6, 2.8, -1.8],
[1.0, 2.0, 3.0]],
numpy.float64)
valsE = numpy.array( [[-0.75, 3.5],
[2.0, 6.8],
[-2.0, 2.0]], numpy.float64)
errE = [0, 0, 0]
# Write database
from spatialdata.spatialdb.SimpleIOAscii import SimpleIOAscii
writer = SimpleIOAscii()
writer.inventory.filename = filename
writer._configure()
writer.write(data)
# Test write using query
from spatialdata.spatialdb.SimpleDB import SimpleDB
db = SimpleDB()
db.inventory.label = "test"
db.inventory.queryType = "linear"
db.inventory.iohandler.inventory.filename = filename
db.inventory.iohandler._configure()
db._configure()
db.open()
db.queryVals(["two", "one"])
vals = numpy.zeros(valsE.shape, dtype=numpy.float64)
err = []
nlocs = qlocs.shape[0]
for i in xrange(nlocs):
e = db.query(vals[i,:], qlocs[i,:], cs)
err.append(e)
db.close()
self.assertEqual(len(valsE.shape), len(vals.shape))
for dE, d in zip(valsE.shape, vals.shape):
self.assertEqual(dE, d)
for vE, v in zip(numpy.reshape(valsE, -1), numpy.reshape(vals, -1)):
self.assertAlmostEqual(vE, v, 6)
return