def write(domain, casename, logger, suffix='restart.new'):
"""
Write domain as ADPAC .mesh and .restart files.
NOTE: if any zones are cylindrical, their grid_coordinates are changed
to cartesian and then back to cylindrical. This will affect the
coordinate values slightly.
"""
# FIXME: don't mess up mesh!
# Write (cartesian) mesh.
cylindricals = []
for zone in domain.zones:
if zone.coordinate_system == 'Cylindrical':
logger.debug('Converting %s to cartesian coordinates',
domain.zone_name(zone))
cylindricals.append(zone)
zone.grid_coordinates.make_cartesian(axis='x')
try:
write_plot3d_grid(domain, casename+'.mesh', big_endian=True,
unformatted=False, logger=logger)
finally:
for zone in cylindricals:
logger.debug('Converting %s back to cylindrical coordinates',
domain.zone_name(zone))
zone.grid_coordinates.make_cylindrical(axis='x')
# Write restart.
restart = casename+suffix
with open(restart, 'wb') as out:
logger.info('writing restart file %r', restart)
stream = Stream(out, binary=True, big_endian=True,
single_precision=True, integer_8=False,
unformatted=False, recordmark_8=False)
# Write number of zones.
stream.write_int(len(domain.zones))
# Write zone dimensions.
for zone in domain.zones:
name = domain.zone_name(zone)
imax, jmax, kmax = zone.shape
logger.debug(' %s: %dx%dx%d', name, imax+1, jmax+1, kmax+1)
stream.write_ints((imax+1, jmax+1, kmax+1))
# Write zone variables.
for zone in domain.zones:
name = domain.zone_name(zone)
logger.debug('writing data for %s', name)
arr = zone.flow_solution.density
logger.debug(' density min %g, max %g', arr.min(), arr.max())
stream.write_floats(arr, order='Fortran')
if zone.coordinate_system == 'Cartesian':
arr = zone.flow_solution.momentum.x
logger.debug(' momentum.x min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.x,
order='Fortran')
arr = zone.flow_solution.momentum.y
logger.debug(' momentum.y min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.y,
order='Fortran')
arr = zone.flow_solution.momentum.z
logger.debug(' momentum.z min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.z,
order='Fortran')
else:
arr = zone.flow_solution.momentum.z
logger.debug(' momentum.z min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.z,
order='Fortran')
arr = zone.flow_solution.momentum.r
logger.debug(' momentum.r min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.r,
order='Fortran')
arr = zone.flow_solution.momentum.t
logger.debug(' momentum.t min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.momentum.t,
order='Fortran')
arr = zone.flow_solution.energy_stagnation_density
logger.debug(' energy_stagnation_density min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.energy_stagnation_density,
order='Fortran')
arr = zone.flow_solution.pressure
logger.debug(' pressure min %g, max %g', arr.min(), arr.max())
stream.write_floats(zone.flow_solution.pressure, order='Fortran')
# Write zone scalars.
ncyc = []
dtheta = []
omegal = []
for zone in domain.zones:
ncyc.append(zone.flow_solution.ncyc)
dtheta.append(zone.flow_solution.dtheta)
omegal.append(zone.flow_solution.omegal)
logger.debug(' ncyc %s', str(ncyc))
logger.debug(' dtheta %s', str(dtheta))
logger.debug(' omegal %s', str(omegal))
stream.write_ints(ncyc)
stream.write_floats(dtheta)
stream.write_floats(omegal)
# Implicit calculation data not supported.
stream.write_int(0)
def test_float64(self):
logging.debug('')
logging.debug('test_float64')
# Double precision.
data = numpy.arange(0, 10, dtype=numpy.float64)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Unformatted scalar.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, unformatted=True)
stream.write_float(1., full_record=True)
self.assertEqual(os.path.getsize(self.filename), 16)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R8)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_float()
try:
self.assertEqual(new_data, 1.)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, unformatted=True)
new_data = stream.read_float(full_record=True)
self.assertEqual(new_data, 1.)
# Unformatted array.
data = numpy.arange(1, 9, dtype=numpy.float64)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, unformatted=True)
stream.write_floats(data, full_record=True)
self.assertEqual(os.path.getsize(self.filename), 72)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R8A)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, unformatted=True)
new_data = stream.read_floats(data.size, full_record=True)
numpy.testing.assert_array_equal(new_data, data)
# Write as single precision.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 32)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Row-major.
data = numpy.arange(0, 10, dtype=numpy.float64)
arr2d = data.reshape((5, 2))
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(arr2d)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2))
numpy.testing.assert_array_equal(new_data, arr2d)
# Column-major.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(arr2d, order='Fortran')
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2))
try:
numpy.testing.assert_array_equal(new_data, arr2d)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2), order='Fortran')
numpy.testing.assert_array_equal(new_data, arr2d)
# Text.
with open(self.filename, 'w') as out:
stream = Stream(out)
stream.write_floats(arr2d, order='Fortran', linecount=4)
with open(self.filename, 'r') as inp:
stream = Stream(inp)
new_data = stream.read_floats((5, 2))
try:
numpy.testing.assert_array_equal(new_data, arr2d)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'r') as inp:
stream = Stream(inp)
new_data = stream.read_floats((5, 2), order='Fortran')
numpy.testing.assert_array_equal(new_data, arr2d)
def test_float32(self):
logging.debug('')
logging.debug('test_float32')
# Single precision.
data = numpy.arange(0, 10, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Text scalar.
with open(self.filename, 'w') as out:
stream = Stream(out)
stream.write_float(4., sep=' ')
stream.write_float(2., full_record=True)
size = 5 if sys.platform == 'win32' else 4 # CR LF
self.assertEqual(os.path.getsize(self.filename), size)
with open(self.filename, 'r') as inp:
new_data = inp.read()
self.assertEqual(new_data, '4 2\n')
# Unformatted scalar.
with open(self.filename, 'wb') as out:
stream = Stream(out,
binary=True,
single_precision=True,
unformatted=True)
stream.write_float(1., full_record=True)
self.assertEqual(os.path.getsize(self.filename), 12)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R4)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_float()
try:
self.assertEqual(new_data, 1.)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp,
binary=True,
single_precision=True,
unformatted=True)
new_data = stream.read_float(full_record=True)
self.assertEqual(new_data, 1.)
# Unformatted array.
data = numpy.arange(1, 9, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out,
binary=True,
single_precision=True,
unformatted=True)
stream.write_floats(data, full_record=True)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R4A)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp,
binary=True,
single_precision=True,
unformatted=True)
new_data = stream.read_floats(data.size, full_record=True)
numpy.testing.assert_array_equal(new_data, data)
# Byteswapped.
swap_endian = sys.byteorder == 'little'
wrong_endian = not swap_endian
data = numpy.arange(0, 10, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out,
binary=True,
single_precision=True,
big_endian=swap_endian)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp,
binary=True,
single_precision=True,
big_endian=wrong_endian)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp,
binary=True,
single_precision=True,
big_endian=swap_endian)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Write as double precision.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Write from list.
data = list(data)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(len(data))
numpy.testing.assert_array_equal(new_data, data)
def test_float64(self):
logging.debug('')
logging.debug('test_float64')
# Double precision.
data = numpy.arange(0, 10, dtype=numpy.float64)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Unformatted scalar.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, unformatted=True)
stream.write_float(1., full_record=True)
self.assertEqual(os.path.getsize(self.filename), 16)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R8)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_float()
try:
self.assertEqual(new_data, 1.)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, unformatted=True)
new_data = stream.read_float(full_record=True)
self.assertEqual(new_data, 1.)
# Unformatted array.
data = numpy.arange(1, 9, dtype=numpy.float64)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, unformatted=True)
stream.write_floats(data, full_record=True)
self.assertEqual(os.path.getsize(self.filename), 72)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R8A)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, unformatted=True)
new_data = stream.read_floats(data.size, full_record=True)
numpy.testing.assert_array_equal(new_data, data)
# Write as single precision.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 32)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Row-major.
data = numpy.arange(0, 10, dtype=numpy.float64)
arr2d = data.reshape((5, 2))
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(arr2d)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2))
numpy.testing.assert_array_equal(new_data, arr2d)
# Column-major.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(arr2d, order='Fortran')
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2))
try:
numpy.testing.assert_array_equal(new_data, arr2d)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats((5, 2), order='Fortran')
numpy.testing.assert_array_equal(new_data, arr2d)
# Text.
with open(self.filename, 'w') as out:
stream = Stream(out)
stream.write_floats(arr2d, order='Fortran', linecount=4)
with open(self.filename, 'r') as inp:
stream = Stream(inp)
new_data = stream.read_floats((5, 2))
try:
numpy.testing.assert_array_equal(new_data, arr2d)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'r') as inp:
stream = Stream(inp)
new_data = stream.read_floats((5, 2), order='Fortran')
numpy.testing.assert_array_equal(new_data, arr2d)
def test_float32(self):
logging.debug('')
logging.debug('test_float32')
# Single precision.
data = numpy.arange(0, 10, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Text scalar.
with open(self.filename, 'w') as out:
stream = Stream(out)
stream.write_float(4., sep=' ')
stream.write_float(2., full_record=True)
size = 5 if sys.platform == 'win32' else 4 # CR LF
self.assertEqual(os.path.getsize(self.filename), size)
with open(self.filename, 'r') as inp:
new_data = inp.read()
self.assertEqual(new_data, '4 2\n')
# Unformatted scalar.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True,
unformatted=True)
stream.write_float(1., full_record=True)
self.assertEqual(os.path.getsize(self.filename), 12)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R4)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_float()
try:
self.assertEqual(new_data, 1.)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True,
unformatted=True)
new_data = stream.read_float(full_record=True)
self.assertEqual(new_data, 1.)
# Unformatted array.
data = numpy.arange(1, 9, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True,
unformatted=True)
stream.write_floats(data, full_record=True)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
new_data = inp.read()
self.assertEqual(new_data, UNF_R4A)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True,
unformatted=True)
new_data = stream.read_floats(data.size, full_record=True)
numpy.testing.assert_array_equal(new_data, data)
# Byteswapped.
swap_endian = sys.byteorder == 'little'
wrong_endian = not swap_endian
data = numpy.arange(0, 10, dtype=numpy.float32)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True,
big_endian=swap_endian)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True,
big_endian=wrong_endian)
new_data = stream.read_floats(data.size)
try:
numpy.testing.assert_array_equal(new_data, data)
except AssertionError:
pass
else:
self.fail('Expected AssertionError')
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True,
big_endian=swap_endian)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Write as double precision.
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 80)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True)
new_data = stream.read_floats(data.size)
numpy.testing.assert_array_equal(new_data, data)
# Write from list.
data = list(data)
with open(self.filename, 'wb') as out:
stream = Stream(out, binary=True, single_precision=True)
stream.write_floats(data)
self.assertEqual(os.path.getsize(self.filename), 40)
with open(self.filename, 'rb') as inp:
stream = Stream(inp, binary=True, single_precision=True)
new_data = stream.read_floats(len(data))
numpy.testing.assert_array_equal(new_data, data)
def write(domain, casename, logger, suffix='restart.new'):
"""
Write domain as ADPAC .mesh and .restart files.
NOTE: if any zones are cylindrical, their grid_coordinates are changed
to cartesian and then back to cylindrical. This will affect the
coordinate values slightly.
"""
# FIXME: don't mess up mesh!
# Write (cartesian) mesh.
cylindricals = []
for zone in domain.zones:
if zone.coordinate_system == 'Cylindrical':
logger.debug('Converting %s to cartesian coordinates',
domain.zone_name(zone))
cylindricals.append(zone)
zone.grid_coordinates.make_cartesian(axis='x')
try:
write_plot3d_grid(domain,
casename + '.mesh',
big_endian=True,
unformatted=False,
logger=logger)
finally:
for zone in cylindricals:
logger.debug('Converting %s back to cylindrical coordinates',
domain.zone_name(zone))
zone.grid_coordinates.make_cylindrical(axis='x')
# Write restart.
restart = casename + suffix
with open(restart, 'wb') as out:
logger.info('writing restart file %r', restart)
stream = Stream(out,
binary=True,
big_endian=True,
single_precision=True,
integer_8=False,
unformatted=False,
recordmark_8=False)
# Write number of zones.
stream.write_int(len(domain.zones))
# Write zone dimensions.
for zone in domain.zones:
name = domain.zone_name(zone)
imax, jmax, kmax = zone.shape
logger.debug(' %s: %dx%dx%d', name, imax + 1, jmax + 1,
kmax + 1)
stream.write_ints((imax + 1, jmax + 1, kmax + 1))
# Write zone variables.
for zone in domain.zones:
name = domain.zone_name(zone)
logger.debug('writing data for %s', name)
arr = zone.flow_solution.density
logger.debug(' density min %g, max %g', arr.min(), arr.max())
stream.write_floats(arr, order='Fortran')
if zone.coordinate_system == 'Cartesian':
arr = zone.flow_solution.momentum.x
logger.debug(' momentum.x min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.x,
order='Fortran')
arr = zone.flow_solution.momentum.y
logger.debug(' momentum.y min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.y,
order='Fortran')
arr = zone.flow_solution.momentum.z
logger.debug(' momentum.z min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.z,
order='Fortran')
else:
arr = zone.flow_solution.momentum.z
logger.debug(' momentum.z min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.z,
order='Fortran')
arr = zone.flow_solution.momentum.r
logger.debug(' momentum.r min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.r,
order='Fortran')
arr = zone.flow_solution.momentum.t
logger.debug(' momentum.t min %g, max %g', arr.min(),
arr.max())
stream.write_floats(zone.flow_solution.momentum.t,
order='Fortran')
arr = zone.flow_solution.energy_stagnation_density
logger.debug(' energy_stagnation_density min %g, max %g',
arr.min(), arr.max())
stream.write_floats(zone.flow_solution.energy_stagnation_density,
order='Fortran')
arr = zone.flow_solution.pressure
logger.debug(' pressure min %g, max %g', arr.min(), arr.max())
stream.write_floats(zone.flow_solution.pressure, order='Fortran')
# Write zone scalars.
ncyc = []
dtheta = []
omegal = []
for zone in domain.zones:
ncyc.append(zone.flow_solution.ncyc)
dtheta.append(zone.flow_solution.dtheta)
omegal.append(zone.flow_solution.omegal)
logger.debug(' ncyc %s', str(ncyc))
logger.debug(' dtheta %s', str(dtheta))
logger.debug(' omegal %s', str(omegal))
stream.write_ints(ncyc)
stream.write_floats(dtheta)
stream.write_floats(omegal)
# Implicit calculation data not supported.
stream.write_int(0)
