def test_bdf_utils_02(self):
msg = 'n 1:10 14:20:2 50:40:-1 e 10 20'
expected_nodes = np.array(
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
14, 16, 18, 20,
40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]
)
expected_elements = np.array([10, 20])
output_dict = parse_patran_syntax_dict(msg, pound_dict=None)
assert np.array_equal(output_dict['n'], expected_nodes)
assert np.array_equal(output_dict['e'], expected_elements)
# messing with the order a bit
msg = 'n 1:# e 2:#:4 junk 1 7 12:#:2 3'
expected_nodes = np.array([1, 2, 3, 4, 5])
expected_elements = np.array([2, 6, 10, 14])
expected_junk = np.array([1, 3, 7, 12, 14, 16, 18, 20])
pound_dict = {
'n' : 5,
'e' : 14,
'junk' : 20.,
}
output_dict = parse_patran_syntax_dict(msg, pound_dict=pound_dict)
assert np.array_equal(output_dict['n'], expected_nodes)
assert np.array_equal(output_dict['e'], expected_elements)
error_msg = 'expected equal; A-B=%s; B-A=%s' % (
np.setdiff1d(expected_junk, output_dict['junk']),
np.setdiff1d(output_dict['junk'], expected_junk))
assert np.array_equal(output_dict['junk'], expected_junk), error_msg
def test_bdf_utils_02(self):
"""tests parse_patran_syntax_dict"""
msg = 'n 1:10 14:20:2 50:40:-1 e 10 20'
expected_nodes = np.array(
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
14, 16, 18, 20,
40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50]
)
expected_elements = np.array([10, 20])
output_dict = parse_patran_syntax_dict(msg, pound_dict=None)
assert np.array_equal(output_dict['n'], expected_nodes)
assert np.array_equal(output_dict['e'], expected_elements)
# messing with the order a bit
msg = 'n 1:# e 2:#:4 junk 1 7 12:#:2 3'
expected_nodes = np.array([1, 2, 3, 4, 5])
expected_elements = np.array([2, 6, 10, 14])
expected_junk = np.array([1, 3, 7, 12, 14, 16, 18, 20])
pound_dict = {
'n' : 5,
'e' : 14,
'junk' : 20.,
}
output_dict = parse_patran_syntax_dict(msg, pound_dict=pound_dict)
assert np.array_equal(output_dict['n'], expected_nodes)
assert np.array_equal(output_dict['e'], expected_elements)
error_msg = 'expected equal; A-B=%s; B-A=%s' % (
np.setdiff1d(expected_junk, output_dict['junk']),
np.setdiff1d(output_dict['junk'], expected_junk))
assert np.array_equal(output_dict['junk'], expected_junk), error_msg
msg = write_patran_syntax_dict({'e' : [2, 6, 10, 14]})
assert msg == 'e 2:14:4', 'msg=%r' % msg
msg = write_patran_syntax_dict({'e' : [1, 2, 6, 10, 14]})
assert msg == 'e 1 2 6:14:4', 'msg=%r' % msg
msg = write_patran_syntax_dict(
{
'n' : [1, 2, 6, 10, 14],
'e' : [1, 2, 6, 10, 14],
},
)
assert msg == 'e 1 2 6:14:4 n 1 2 6:14:4', 'msg=%r' % msg
out = parse_patran_syntax_dict('')
assert len(out) == 0, 'out=%s' % out
def main(): # pragma: no cover
bdf = None
#op2_filename = 'model.op2'
op2 = read_op2(op2_filename=None,
combine=True,
log=None,
debug=True,
debug_file=None,
build_dataframe=False,
skip_undefined_matrices=True,
mode='msc')
subcases = [1]
groups = {
1: 'Elm 403082 565514 403084 552195 552196 553965 552204',
}
eid_groups = []
results = {}
for key, group in sorted(groups.items()):
eid_group = parse_patran_syntax_dict(group, pound_dict=None)['Elm']
eid_groups.append(eid_group)
del groups
centroid_file = open('centroid.csv', 'w')
centroid_file.write('group, subcase, eid_max, maxp, eid_min, minp\n')
for group_id, eids in enumerate(eid_groups):
# TODO: speed this up by using the same indices
for subcase in subcases:
eid_max, maxp, eid_min, minp = get_centroid_max_min_principal_stress(
bdf, op2, subcase, eids)
centroid_file.write('%s, %s, %s, %s, %s, %s\n' %
(group, subcase, eid_max, maxp, eid_min, minp))
cat('centroid.csv')
def test_bdf_utils_03(self):
"""tests parse_patran_syntax_dict"""
node_sets = "e 1:3 n 2:6:2 Node 10:13 N 15 coord 1:10"
type_map = {
'n': 'Node',
'Node': 'Node',
'e': 'Element',
'Elm': 'Element',
'Element': 'Element',
}
data = parse_patran_syntax_dict(node_sets, type_map)
data_expected = {
'Element': np.array([1, 2, 3]),
'Node': np.array([2, 4, 6, 10, 11, 12, 13, 15]),
}
data = parse_patran_syntax_dict_map(node_sets, type_map, msg='')
assert len(data.keys()) == len(
data_expected.keys()), 'data.keys=%s data_expected.keys=%s' % (
data.keys(), data_expected.keys())
for key, value in sorted(data.items()):
assert key in data_expected, 'cant find key=%r' % key
value_expected = data_expected[key]
assert np.array_equal(
value, value_expected), 'key=%r\nvalue=%r\nexpected=%r' % (
key, value, value_expected)
def main():
print('main...')
bdf = None
op2_filename = 'model.op2'
op2 = read_op2(op2_filename=None, combine=True, log=None, debug=True,
debug_file=None, build_dataframe=False,
skip_undefined_matrices=True, mode='msc')
subcases = [1]
groups = {
1 : 'Elm 403082 565514 403084 552195 552196 553965 552204',
}
eid_groups = {}
results = {}
for key, group in sorted(groups.items()):
eid_group = parse_patran_syntax_dict(group, pound_dict=None)['Elm']
eid_groups.append(eid_group)
del groups
centroid_file = open('centroid.csv', 'w')
centroid_file.write('group, subcase, eid_max, maxp, eid_min, minp\n')
for group_id, eids in enumerate(eid_groups):
# TODO: speed this up by using the same indices
for subcase in subcases:
eid_max, maxp, eid_min, minp = get_centroid_max_min_principal_stress(bdf, op2, subcase, eids)
centroid_file.write('%s, %s, %s, %s, %s, %s\n' % (
group, subcase, eid_max, maxp, eid_min, minp))
cat('centroid.csv')
def check_patran_syntax_dict(cell, pound=None):
text = str(cell.text())
try:
value = parse_patran_syntax_dict(text)
cell.setStyleSheet("QLineEdit{background: white;}")
cell.setToolTip('')
return value, True
except (ValueError, SyntaxError, KeyError) as e:
cell.setStyleSheet("QLineEdit{background: red;}")
cell.setToolTip(str(e))
return None, False
def check_patran_syntax_dict(self, cell, pound=None):
text = str(cell.text())
try:
value = parse_patran_syntax_dict(text)
cell.setStyleSheet("QLineEdit{background: white;}")
cell.setToolTip('')
return value, True
except (ValueError, SyntaxError, KeyError) as e:
cell.setStyleSheet("QLineEdit{background: red;}")
cell.setToolTip(str(e))
return None, False
def main():
"""the test case"""
eids = parse_patran_syntax_dict(' Element 830:84798')['Element']
eids = find_coplanar_elements(bdf_filename, eids)
def main():
"""the test case"""
eids = parse_patran_syntax_dict(' Element 830:84798')['Element']
eids = find_coplanar_elements(bdf_filename, eids)
