def createData(func, idx):
global gDataSet, adata, gCenter, gMinValue, gMaxValue
import numpy
from pyvisus.numpyconversion import VisusIncoreEncoder
print "Create data for idx(%d)" % idx
dimi = 50
dimj = 50
dimk = 50
gCenter[0] = 0.5 * (dimi - 1)
gCenter[1] = 0.5 * (dimj - 1)
gCenter[2] = 0.5 * (dimk - 1)
data = []
for i in xrange(dimi * dimj * dimk):
data.append(0)
for i in xrange(dimi):
for j in xrange(dimj):
for k in xrange(dimk):
value = func(i, j, k)
data[k + j * dimk + i * dimk * dimj] = value
if idx == COLOR_NDX:
if value < gMinValue:
gMinValue = value
if value > gMaxValue:
gMaxValue = value
adata[idx] = numpy.array(data)
encoder = VisusIncoreEncoder(dimi, dimj, dimk, 1)
encoder.domain([0, 0, 0], [dimk, dimj, dimi])
encoder.field(adata[idx], "density")
gDataSet[idx] = str(encoder)
# Make the data source
print "Opening dataset(%s)" % gDataSet[idx]
data = VisusDataSourceFactory.make(gDataSet[idx])
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
return data
def createData():
global gBBox, gDataSet, adata
import numpy
from math import sqrt, pow
from pyvisus.numpyconversion import VisusIncoreEncoder
idim = 50
jdim = 50
kdim = 50
data = []
for i in xrange(idim*jdim*kdim):
data.append(0)
for i in xrange(idim):
for j in xrange(jdim):
for k in xrange(kdim):
data[k+j*kdim+i*jdim*kdim] = sqrt(pow(i-25.0,2) + pow(j-25.0,2) + pow(k-25.0,2))
adata = numpy.array(data)
encoder = VisusIncoreEncoder(idim,jdim,kdim,1)
encoder.domain([0,0,0],[1.0*idim,1.0*jdim,0.1*kdim])
encoder.field(adata)
gDataSet = str(encoder)
# Make the data source
print "Opening dataset(%s)" % gDataSet
data = VisusDataSourceFactory.make(gDataSet);
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
gSamples = data.samples();
left = VectorDouble(3)
right= VectorDouble(3)
data.domainBoundingBox(left,right);
gBBox = VisusBoundingBox()
gBBox.set(left,right);
return
def createData(filename=None):
global gBBox, gDataSet, adata
if filename is None:
import numpy
from math import sqrt, pow
from pyvisus.numpyconversion import VisusIncoreEncoder
data = []
for i in xrange(50 * 50 * 50):
data.append(0)
for i in xrange(50):
for j in xrange(50):
for k in xrange(50):
data[k + j * 50 + i * 50 * 50] = sqrt(
pow(i - 25.0, 2) + pow(j - 25.0, 2) + pow(k - 25.0, 2))
adata = numpy.array(data)
encoder = VisusIncoreEncoder(50, 50, 50)
encoder.field(adata)
gDataSet = str(encoder)
else:
gDataSet = "Idx:%s" % filename
# Make the data source
print "Opening dataset(%s)" % gDataSet
data = VisusDataSourceFactory.make(gDataSet)
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
gSamples = data.samples()
left = VectorDouble(3)
right = VectorDouble(3)
data.domainBoundingBox(left, right)
gBBox = VisusBoundingBox()
gBBox.set(left, right)
return
def createData(filename=None):
global gBBox, gDataSet, adata
if filename is None:
import numpy
from math import sqrt, pow
from pyvisus.numpyconversion import VisusIncoreEncoder
data = []
for i in xrange(50*50*50):
data.append(0)
for i in xrange(50):
for j in xrange(50):
for k in xrange(50):
data[k+j*50+i*50*50] = sqrt(pow(i-25.0,2) + pow(j-25.0,2) + pow(k-25.0,2))
adata = numpy.array(data)
encoder = VisusIncoreEncoder(50,50,50)
encoder.field(adata)
gDataSet = str(encoder)
else:
gDataSet = "Idx:%s" % filename
# Make the data source
print "Opening dataset(%s)" % gDataSet
data = VisusDataSourceFactory.make(gDataSet);
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
gSamples = data.samples();
left = VectorDouble(3)
right= VectorDouble(3)
data.domainBoundingBox(left,right);
gBBox = VisusBoundingBox()
gBBox.set(left,right);
return
def createData(func,idx):
global gDataSet, adata, gCenter, gMinValue, gMaxValue
import numpy
from pyvisus.numpyconversion import VisusIncoreEncoder
print "Create data for idx(%d)" % idx
dimi = 50
dimj = 50
dimk = 50
gCenter[0] = 0.5 * (dimi-1)
gCenter[1] = 0.5 * (dimj-1)
gCenter[2] = 0.5 * (dimk-1)
data = []
for i in xrange(dimi*dimj*dimk):
data.append(0)
for i in xrange(dimi):
for j in xrange(dimj):
for k in xrange(dimk):
value = func(i,j,k)
data[k + j*dimk + i*dimk*dimj] = value
if idx == COLOR_NDX:
if value < gMinValue:
gMinValue = value
if value > gMaxValue:
gMaxValue = value
adata[idx] = numpy.array(data)
encoder = VisusIncoreEncoder(dimi,dimj,dimk,1)
encoder.domain([0,0,0],[dimk,dimj,dimi])
encoder.field(adata[idx], "density")
gDataSet[idx] = str(encoder)
# Make the data source
print "Opening dataset(%s)" % gDataSet[idx]
data = VisusDataSourceFactory.make(gDataSet[idx]);
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
return data
def createData():
global gBBox, gDataSet, adata
import numpy
from math import sqrt, pow
from pyvisus.numpyconversion import VisusIncoreEncoder
idim = 50
jdim = 50
kdim = 50
data = []
for i in xrange(idim * jdim * kdim):
data.append(0)
for i in xrange(idim):
for j in xrange(jdim):
for k in xrange(kdim):
data[k + j * kdim + i * jdim * kdim] = sqrt(
pow(i - 25.0, 2) + pow(j - 25.0, 2) + pow(k - 25.0, 2))
adata = numpy.array(data)
encoder = VisusIncoreEncoder(idim, jdim, kdim, 1)
encoder.domain([0, 0, 0], [1.0 * idim, 1.0 * jdim, 0.1 * kdim])
encoder.field(adata)
gDataSet = str(encoder)
# Make the data source
print "Opening dataset(%s)" % gDataSet
data = VisusDataSourceFactory.make(gDataSet)
if not data.isValid():
raise RuntimeError("Loaded data is not valid")
gSamples = data.samples()
left = VectorDouble(3)
right = VectorDouble(3)
data.domainBoundingBox(left, right)
gBBox = VisusBoundingBox()
gBBox.set(left, right)
return
