def save_load_deck(model: BDF, 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,
remove_disabled_cards=True,
op2_log_level: str='warning') -> BDF:
"""writes, re-reads, saves an obj, loads an obj, and returns the deck"""
if os.path.exists('junk.bdf'):
os.remove('junk.bdf')
if not remove_disabled_cards:
model._add_disabled_cards()
model.set_error_storage(nparse_errors=0, stop_on_parsing_error=True,
nxref_errors=0, stop_on_xref_error=True)
model._remove_disabled_cards = remove_disabled_cards
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())
if not remove_disabled_cards:
model2._add_disabled_cards()
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 = SimpleLogger(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 = SimpleLogger(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
