matrices = op4.readOP4(fname,
matrixNames=matrixNames,
precision='default')
print("keys = %s" % (matrices.keys()))
#print "#####################################################"
print("fname=%s" % (fname))
for name, (form, matrix) in sorted(matrices.items()):
print("-----------------------------------")
print("name = |%s|" % (name))
if isinstance(matrix, coo_matrix):
print("SPARSE")
#matrix = matrix.todense()
#print print_annotated_matrix(matrix)
else:
print("DENSE")
print(print_matrix(matrix))
#if 't' in fname:
#f.write(op4.writeDenseMatrixAscii(name,matrix,form=form,precision='default'))
if isinstance(matrix, coo_matrix):
op4.writeSparseMatrixAscii(f,
name,
matrix,
form=form,
precision='default',
isBigMat=isBigMat)
else:
f.write(op4.writeDenseMatrixAscii(name, matrix, 1, 'single'))
#f.write(op4.writeDenseMatrixBinary(name,matrix,1,'single'))
#print print_annotated_matrix(matrices['STRINGS'][1]-strings)
print("-----------------------------")
def readMatrixBinary(self, f, floatType, matrixNames=None):
"""reads a matrix"""
#print self.printSection(60)
#print "*************************"
data = f.read(4)
self.n += 4
(recordLength, ) = unpack(self.endian + 'i', data)
assert self.n == f.tell(), 'n=%s tell=%s' % (self.n, f.tell())
#print "RL = %s" %(recordLength)
#print self.printSection(60)
if recordLength == 24:
data = f.read(recordLength)
self.n += recordLength
(ncols, nrows, form, Type, name) = unpack(self.endian + '4i8s',
data)
#print "nrows=%s ncols=%s form=%s Type=%s name=%s" %(nrows,ncols,form,Type,name)
else:
msg = recordLength + self.printBlock(data)
raise NotImplementedError('recordLength=%s\n%s' % (msg))
name = name.strip()
if 0:
if Type == 1:
print("Type = Real, Single Precision")
elif Type == 2:
print("Type = Real, Double Precision")
elif Type == 3:
print("Type = Complex, Single Precision")
elif Type == 4:
print("Type = Complex, Double Precision")
if nrows < 0: # if less than 0, big
isBigMat = True
nrows = abs(nrows)
elif nrows > 0:
isBigMat = False
else:
raise RuntimeError('unknown BIGMAT. nRows=%s' % (nrows))
# jump forward to get if isSparse, then jump back
nSave = self.n
(_a, _icol, _irow, _nWords) = self.readStartMarker(f)
f.seek(nSave)
self.n = nSave
(NWV, NBW, d, dType) = self.getMatrixInfo(Type)
isSparse = False
if _irow == 0:
isSparse = True
# rows = []
# cols = []
# entries = []
#else:
# A = zeros((nrows,ncols),dType)
#A = zeros((nrows,ncols),dType)
assert self.n == f.tell(), 'n=%s tell=%s' % (self.n, f.tell())
if Type in [1, 2]: # real
A = self.readRealBinary(f, nrows, ncols, Type, isSparse, isBigMat)
elif Type in [3, 4]: # complex
A = self.readComplexBinary(f, nrows, ncols, Type, isSparse,
isBigMat)
else:
raise RuntimeError("Type=%s" % (Type))
try:
print_matrix(A.todense())
except:
pass
if d in ['d', 'dd']:
f.read(8)
self.n += 8
elif d in ['f', 'ff']:
f.read(4)
self.n += 4
else:
raise NotImplementedError(d)
#f.read(recordLength); self.n+=recordLength
#self.printSection(10)
#f.read(4); self.n+=4
#if isSparse: # Initialize a real matrix
# A = coo_matrix( (entries,(rows,cols)),shape=(nrows,ncols),dtype=dType)
#print '------end1--------'
#print self.printSection(60)
#print '------end2--------'
return (name, form, A)
def setupSOL101(self, model, case):
# the (GridID,componentID) -> internalID
(self.nidComponentToID, i) = self.buildNidComponentToID(model)
(Kgg, Fg, isSPC, isMPC) = self.build_Kgg_Fg(model, case,
self.nidComponentToID, i)
(self.IDtoNidComponents) = reverseDict(self.nidComponentToID)
print("IDtoNidComponents = ", self.IDtoNidComponents)
print("Kgg =\n" + print_annotated_matrix(Kgg, self.IDtoNidComponents))
#print("Kgg = \n", Kgg)
#print("iSize = ", i)
#(Kaa,Fa) = self.Partition(Kgg)
#sys.exit('verify Kgg')
Kaa = partition_dense_symmetric(Kgg, self.iUs)
print("Kaa = \n%s" % (print_matrix(Kaa)))
#print("Kaa.shape = ",Kaa.shape)
#sys.exit('verify Kaa')
Fa = partition_dense_vector(Fg, self.iUs)
#print("Kaa = \n%s" %(print_matrix(Kaa)))
print("Fg = ", Fg)
print("Fa = ", Fa)
print("Us = ", self.Us)
self.Us = array(self.Us, 'float64')
self.Um = array(self.Um, 'float64')
zero = array([])
MPCgg = zero
Ksa = Kas = Kss = Cam = Cma = Kma = Kam = Kmm = Kms = Ksm = zero
Kaa1 = Kaa2 = zero
Fm = Fs = zero
#Kaa = partition_dense_matrix(Kgg,iFree)
Kaa0 = Kaa
Fa0 = Fa
if isSPC:
#Fs = partition_dense_vector(Fg,self.iUs)
Ksa = partition_dense_matrix(Kgg, self.iUs, iFree)
Kas = Ksa.transpose()
Kss = partition_dense_matrix(Kgg, self.iUs)
if isMPC:
Fm = partition_dense_vector(Fg, self.iUm)
Cam = partition_dense_matrix(MPCgg, iFree)
Cma = partition_dense_matrix(MPCgg, self.iUm)
Kaa1 = Cam * Kmm * Cma
Kaa2 = Cam * Kma + Kam * Cma
assert Cam.transpose() == Cma
Kma = partition_dense_matrix(Kgg, self.iUm, iFree)
Kam = Kma.transpose()
Kmm = partition_dense_matrix(Kgg, self.iUm)
if isSPC:
Kms = partition_dense_matrix(Kgg, self.iUm, self.iUs)
Ksm = Kms.transpose()
Fa = Fa0 # + Cam*Fm
Kaa = Kaa0 # +Kaa1+Kaa2
Ua = self.solve(Kaa, Fa)
#self.Um = Kma*Ua
return(Ua, i)
def setupSOL101(self, model, case):
# the (GridID,componentID) -> internalID
(self.nidComponentToID, i) = self.buildNidComponentToID(model)
(Kgg, Fg, isSPC, isMPC) = self.build_Kgg_Fg(model, case,
self.nidComponentToID, i)
(self.IDtoNidComponents) = reverseDict(self.nidComponentToID)
print("IDtoNidComponents = ", self.IDtoNidComponents)
print("Kgg =\n" + print_annotated_matrix(Kgg, self.IDtoNidComponents))
#print("Kgg = \n", Kgg)
#print("iSize = ", i)
#(Kaa,Fa) = self.Partition(Kgg)
#sys.exit('verify Kgg')
Kaa = partition_dense_symmetric(Kgg, self.iUs)
print("Kaa = \n%s" % (print_matrix(Kaa)))
#print("Kaa.shape = ",Kaa.shape)
#sys.exit('verify Kaa')
Fa = partition_dense_vector(Fg, self.iUs)
#print("Kaa = \n%s" %(print_matrix(Kaa)))
print("Fg = ", Fg)
print("Fa = ", Fa)
print("Us = ", self.Us)
self.Us = array(self.Us, 'float64')
self.Um = array(self.Um, 'float64')
zero = array([])
MPCgg = zero
Ksa = Kas = Kss = Cam = Cma = Kma = Kam = Kmm = Kms = Ksm = zero
Kaa1 = Kaa2 = zero
Fm = Fs = zero
#Kaa = partition_dense_matrix(Kgg,iFree)
Kaa0 = Kaa
Fa0 = Fa
if isSPC:
#Fs = partition_dense_vector(Fg,self.iUs)
Ksa = partition_dense_matrix(Kgg, self.iUs, iFree)
Kas = Ksa.transpose()
Kss = partition_dense_matrix(Kgg, self.iUs)
if isMPC:
Fm = partition_dense_vector(Fg, self.iUm)
Cam = partition_dense_matrix(MPCgg, iFree)
Cma = partition_dense_matrix(MPCgg, self.iUm)
Kaa1 = Cam * Kmm * Cma
Kaa2 = Cam * Kma + Kam * Cma
assert Cam.transpose() == Cma
Kma = partition_dense_matrix(Kgg, self.iUm, iFree)
Kam = Kma.transpose()
Kmm = partition_dense_matrix(Kgg, self.iUm)
if isSPC:
Kms = partition_dense_matrix(Kgg, self.iUm, self.iUs)
Ksm = Kms.transpose()
Fa = Fa0 # + Cam*Fm
Kaa = Kaa0 # +Kaa1+Kaa2
Ua = self.solve(Kaa, Fa)
#self.Um = Kma*Ua
return (Ua, i)
def readMatrixBinary(self, f, floatType, matrixNames=None):
"""reads a matrix"""
#print self.printSection(60)
#print "*************************"
data = f.read(4)
self.n += 4
(recordLength,) = unpack(self.endian + 'i', data)
assert self.n == f.tell(), 'n=%s tell=%s' % (self.n, f.tell())
#print "RL = %s" %(recordLength)
#print self.printSection(60)
if recordLength == 24:
data = f.read(recordLength)
self.n += recordLength
(ncols, nrows, form, Type, name) = unpack(
self.endian + '4i8s', data)
#print "nrows=%s ncols=%s form=%s Type=%s name=%s" %(nrows,ncols,form,Type,name)
else:
msg = recordLength + self.printBlock(data)
raise NotImplementedError('recordLength=%s\n%s' % (msg))
name = name.strip()
if 0:
if Type == 1:
print("Type = Real, Single Precision")
elif Type == 2:
print("Type = Real, Double Precision")
elif Type == 3:
print("Type = Complex, Single Precision")
elif Type == 4:
print("Type = Complex, Double Precision")
if nrows < 0: # if less than 0, big
isBigMat = True
nrows = abs(nrows)
elif nrows > 0:
isBigMat = False
else:
raise RuntimeError('unknown BIGMAT. nRows=%s' % (nrows))
# jump forward to get if isSparse, then jump back
nSave = self.n
(_a, _icol, _irow, _nWords) = self.readStartMarker(f)
f.seek(nSave)
self.n = nSave
(NWV, NBW, d, dType) = self.getMatrixInfo(Type)
isSparse = False
if _irow == 0:
isSparse = True
# rows = []
# cols = []
# entries = []
#else:
# A = zeros((nrows,ncols),dType)
#A = zeros((nrows,ncols),dType)
assert self.n == f.tell(), 'n=%s tell=%s' % (self.n, f.tell())
if Type in [1, 2]: # real
A = self.readRealBinary(f, nrows, ncols, Type, isSparse, isBigMat)
elif Type in [3, 4]: # complex
A = self.readComplexBinary(
f, nrows, ncols, Type, isSparse, isBigMat)
else:
raise RuntimeError("Type=%s" % (Type))
try:
print_matrix(A.todense())
except:
pass
if d in ['d', 'dd']:
f.read(8)
self.n += 8
elif d in ['f', 'ff']:
f.read(4)
self.n += 4
else:
raise NotImplementedError(d)
#f.read(recordLength); self.n+=recordLength
#self.printSection(10)
#f.read(4); self.n+=4
#if isSparse: # Initialize a real matrix
# A = coo_matrix( (entries,(rows,cols)),shape=(nrows,ncols),dtype=dType)
#print '------end1--------'
#print self.printSection(60)
#print '------end2--------'
return (name, form, A)
#f = open('binary.op4','wb')
matrices = op4.readOP4(
fname, matrixNames=matrixNames, precision='default')
print("keys = %s" % (matrices.keys()))
#print "#####################################################"
print("fname=%s" % (fname))
for name, (form, matrix) in sorted(matrices.items()):
print("-----------------------------------")
print("name = |%s|" % (name))
if isinstance(matrix, coo_matrix):
print("SPARSE")
#matrix = matrix.todense()
#print print_annotated_matrix(matrix)
else:
print("DENSE")
print(print_matrix(matrix))
#if 't' in fname:
#f.write(op4.writeDenseMatrixAscii(name,matrix,form=form,precision='default'))
if isinstance(matrix, coo_matrix):
op4.writeSparseMatrixAscii(f, name, matrix, form=form,
precision='default', isBigMat=isBigMat)
else:
f.write(op4.writeDenseMatrixAscii(name, matrix, 1, 'single'))
#f.write(op4.writeDenseMatrixBinary(name,matrix,1,'single'))
#print print_annotated_matrix(matrices['STRINGS'][1]-strings)
print("-----------------------------")
print("done")
print("-----------------------------")
print('Failed to get %d-th matrix' % i)
else:
Name = op4fh.name[i]
Format, A = matrices[Name]
error = 0.
#print type(a),type(A)
if isinstance(A, np.ndarray):
pass
else: # sparse
a = a.todense()
A = A.todense()
error = abs(a - A).max()
if error > 0:
print "Name = |%s|" % (Name)
print('%s:' % op4fh.name[i])
print "error[%s] = %s" % (Name, error)
print "cOP4:"
print print_matrix(a)
print "pyOP4:"
print print_matrix(A)
print "diff:"
print print_matrix(a - A)
print '----------------------------'
sys.exit('stopping')
