def save_load_deck(model,
xref='standard',
punch=True,
run_remove_unused=True,
run_convert=True,
run_renumber=True,
run_mirror=True,
run_save_load=True,
run_quality=True,
write_saves=True,
run_save_load_hdf5=True,
run_mass_properties=True):
"""writes, re-reads, saves an obj, loads an obj, and returns the deck"""
model.validate()
model.pop_parse_errors()
model.pop_xref_errors()
bdf_file = StringIO()
model.write_bdf(bdf_file, size=8, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, is_double=True, close=False)
bdf_file.seek(0)
if write_saves and model.save_file_structure:
bdf_filenames = {
0: 'junk.bdf',
}
model.write_bdfs(bdf_filenames)
os.remove('junk.bdf')
if run_remove_unused:
remove_unused(model)
if run_convert:
units_to = ['m', 'kg', 's']
units = ['ft', 'lbm', 's']
convert(model, units_to, units)
model2 = BDF(log=model.log)
#print(bdf_file.getvalue())
model2.read_bdf(bdf_file, punch=punch, xref=False)
_cross_reference(model2, xref)
model2.pop_parse_errors()
model2.get_bdf_stats()
model2.write_bdf('model2.bdf')
nelements = len(model2.elements) + len(model2.masses)
if run_mass_properties and len(model2.nodes) == 0 and nelements > 0:
mass1, cg1, inertia1 = model2.mass_properties(reference_point=None,
sym_axis=None)
mass2, cg2, inertia2 = model2.mass_properties_nsm(reference_point=None,
sym_axis=None)
#if not quiet:
#if model2.wtmass != 1.0:
#print('weight = %s' % (mass1 / model2.wtmass))
#print('mass = %s' % mass1)
#print('cg = %s' % cg1)
#print('Ixx=%s, Iyy=%s, Izz=%s \nIxy=%s, Ixz=%s, Iyz=%s' % tuple(inertia1))
assert np.allclose(mass1, mass2), 'mass1=%s mass2=%s' % (mass1, mass2)
assert np.allclose(cg1,
cg2), 'mass=%s\ncg1=%s cg2=%s' % (mass1, cg1, cg2)
assert np.allclose(
inertia1, inertia2, atol=1e-5
), 'mass=%s cg=%s\ninertia1=%s\ninertia2=%s\ndinertia=%s' % (
mass1, cg1, inertia1, inertia2, inertia1 - inertia2)
mass3, cg3, inertia3 = mass_properties_breakdown(model2)[:3]
assert np.allclose(mass1, mass3), 'mass1=%s mass3=%s' % (mass1, mass3)
#assert np.allclose(cg1, cg3), 'mass=%s\ncg1=%s cg3=%s' % (mass1, cg1, cg3)
if run_save_load:
model2.save(obj_filename='model.obj', unxref=True)
model3 = BDF(debug=False, log=model.log, mode='msc')
model3.load(obj_filename='model.obj')
os.remove('model.obj')
else:
model2.uncross_reference()
model3 = model2
if run_save_load_hdf5 and IS_H5PY:
model2.export_hdf5_filename('test.h5')
model4 = BDF(log=model2.log)
model4.load_hdf5_filename('test.h5')
model4.validate()
bdf_stream = StringIO()
model4.write_bdf(bdf_stream,
encoding=None,
size=8,
is_double=False,
interspersed=False,
enddata=None,
write_header=True,
close=True)
for key, value in model2.card_count.items():
if key == 'ENDDATA':
continue
if key not in model4.card_count:
msg = 'key=%r was not loaded to hdf5\nexpected=%s\nactual=%s' % (
key, model2.card_count, model4.card_count)
#raise RuntimeError(msg)
model.log.error(msg)
cross_reference(model3, xref)
if run_renumber:
renumber('model2.bdf', model.log)
if run_mirror:
# we put embed this under renumber to prevent modifying an
# existing model to prevent breaking tests
#
# shouldn't have any effect model2.bdf
bdf_mirror('model2.bdf', plane='xz', log=model.log)
os.remove('model2.bdf')
if model.elements and run_quality:
element_quality(model)
return model3
def save_load_deck(model,
xref='standard',
punch=True,
run_remove_unused=True,
run_convert=True,
run_renumber=True,
run_mirror=True,
run_save_load=True,
run_quality=True,
write_saves=True,
run_save_load_hdf5=True,
run_mass_properties=True,
run_loads=True,
run_test_bdf=True,
run_op2_writer=True,
run_op2_reader=True,
op2_log_level: str = 'warning'):
"""writes, re-reads, saves an obj, loads an obj, and returns the deck"""
if os.path.exists('junk.bdf'):
os.remove('junk.bdf')
model.set_error_storage(nparse_errors=0,
stop_on_parsing_error=True,
nxref_errors=0,
stop_on_xref_error=True)
model.validate()
model.pop_parse_errors()
model.pop_xref_errors()
bdf_file = StringIO()
model.write_bdf(bdf_file, size=8, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, is_double=True, close=False)
bdf_file.seek(0)
if write_saves and model.save_file_structure:
bdf_filenames = {
0: 'junk.bdf',
}
model.write_bdfs(bdf_filenames)
os.remove('junk.bdf')
if run_convert:
units_to = ['m', 'kg', 's']
units = ['ft', 'lbm', 's']
convert(model, units_to, units)
model2 = BDF(log=model.log)
#print(bdf_file.getvalue())
model2.read_bdf(bdf_file, punch=punch, xref=False)
_cross_reference(model2, xref)
model2.pop_parse_errors()
model2.get_bdf_stats()
model2.write_bdf('model2.bdf')
if run_test_bdf:
folder = ''
log_error = get_logger(log=None, level='error', encoding='utf-8')
test_bdf(folder,
'model2.bdf',
stop_on_failure=True,
punch=punch,
quiet=True,
log=log_error)
os.remove('model2.test_bdf.bdf')
nelements = len(model2.elements) + len(model2.masses)
nnodes = len(model2.nodes) + len(model2.spoints) + len(model2.epoints)
_run_mass_properties(model2,
nnodes,
nelements,
run_mass_properties=run_mass_properties)
_run_loads(model2, nelements, run_loads=run_loads)
if run_save_load:
model2.save(obj_filename='model.obj', unxref=True)
model3 = BDF(debug=False, log=model.log, mode='msc')
model3.load(obj_filename='model.obj')
os.remove('model.obj')
else:
model2.uncross_reference()
model3 = model2
_run_hdf5(model2, model.log, run_save_load_hdf5=run_save_load_hdf5)
cross_reference(model3, xref)
if run_renumber:
renumber('model2.bdf', model.log)
if run_mirror:
# we put this under renumber to prevent modifying an
# existing model to prevent breaking tests
#
# shouldn't have any effect model2.bdf
model_mirrored = bdf_mirror('model2.bdf',
plane='xz',
log=model.log)[0]
model_mirrored.write_bdf('mirrored2.bdf')
read_bdf('mirrored2.bdf', log=model.log)
os.remove('mirrored2.bdf')
os.remove('model2.bdf')
if model.elements and run_quality:
element_quality(model)
if run_op2_writer:
op2_geom_model = attach_op2_results_to_bdf(model, op2_model=None)
from pyNastran.op2.op2_geom import read_op2_geom
table_name = 'OUGV1'
node_gridtype = np.zeros((10, 2), dtype='int32')
node_gridtype[:, 0] = np.arange(1, 11)
data = np.zeros((1, 10, 6), dtype='float32')
isubcase = 1
disp = RealDisplacementArray.add_static_case(table_name,
node_gridtype,
data,
isubcase,
is_sort1=True)
op2_geom_model.displacements[isubcase] = disp
op2_filename = 'spike.op2'
bkp_log = op2_geom_model.log
op2_geom_model.log = get_logger(log=None,
level=op2_log_level,
encoding='utf-8')
op2_geom_model.write_op2(op2_filename,
post=-1,
endian=b'<',
skips=None,
nastran_format='nx')
if run_op2_reader:
unused_op2_geom = read_op2_geom(op2_filename,
log=op2_geom_model.log,
xref=False)
else:
frame = inspect.currentframe()
call_frame = inspect.getouterframes(frame, 2)
op2_geom_model.log.warning('skipping op2 reader for %s' %
call_frame[1][3])
op2_geom_model.log = bkp_log
os.remove(op2_filename)
if run_remove_unused:
remove_unused(model)
return model3
def save_load_deck(model,
xref='standard',
punch=True,
run_remove_unused=True,
run_convert=True,
run_renumber=True,
run_mirror=True,
run_save_load=True,
run_quality=True,
write_saves=True,
run_save_load_hdf5=True):
"""writes, re-reads, saves an obj, loads an obj, and returns the deck"""
model.validate()
model.pop_parse_errors()
model.pop_xref_errors()
bdf_file = StringIO()
model.write_bdf(bdf_file, size=8, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, close=False)
bdf_file.seek(0)
model.write_bdf(bdf_file, size=16, is_double=True, close=False)
bdf_file.seek(0)
if write_saves and model.save_file_structure:
bdf_filenames = {
0: 'junk.bdf',
}
model.write_bdfs(bdf_filenames)
os.remove('junk.bdf')
if run_remove_unused:
remove_unused(model)
if run_convert:
units_to = ['m', 'kg', 's']
units = ['ft', 'lbm', 's']
convert(model, units_to, units)
model2 = BDF(log=model.log)
#print(bdf_file.getvalue())
model2.read_bdf(bdf_file, punch=punch, xref=False)
_cross_reference(model2, xref)
model2.pop_parse_errors()
model2.get_bdf_stats()
model2.write_bdf('model2.bdf')
if run_save_load:
model2.save(obj_filename='model.obj', unxref=True)
model3 = BDF(debug=False, log=model.log, mode='msc')
model3.load(obj_filename='model.obj')
os.remove('model.obj')
else:
model2.uncross_reference()
model3 = model2
if run_save_load_hdf5 and IS_H5PY:
model2.export_to_hdf5_filename('test.h5')
model4 = BDF(log=model2.log)
model4.load_hdf5_filename('test.h5')
model4.validate()
bdf_stream = StringIO()
model4.write_bdf(bdf_stream,
encoding=None,
size=8,
is_double=False,
interspersed=False,
enddata=None,
write_header=True,
close=True)
for key, value in model2.card_count.items():
if key == 'ENDDATA':
continue
if key not in model4.card_count:
msg = 'key=%r was not loaded to hdf5\nexpected=%s\nactual=%s' % (
key, model2.card_count, model4.card_count)
#raise RuntimeError(msg)
model.log.error(msg)
cross_reference(model3, xref)
if run_renumber:
renumber('model2.bdf', model.log)
if run_mirror:
# we put embed this under renumber to prevent modifying an
# existing model to prevent breaking tests
#
# shouldn't have any effect model2.bdf
bdf_mirror('model2.bdf', plane='xz', log=model.log)
os.remove('model2.bdf')
if model.elements and run_quality:
element_quality(model)
return model3