def test_gui_csv_02(self):
"""tests solid_bending_multi_node.txt"""
csv_filename = os.path.join(MODEL_PATH, 'solid_bending',
'solid_bending_multi_node.txt')
with self.assertRaises(ValueError):
load_deflection_csv(csv_filename) # bad shape
load_csv(csv_filename)
def _load_csv(self, result_type, out_filename):
"""
common method between:
- on_add_nodal_results(filename)
- on_add_elemental_results(filename)
Parameters
----------
result_type : str
???
out_filename : str
the CSV filename to load
"""
out_filename_short = os.path.relpath(out_filename)
A, fmt_dict, headers = load_csv(out_filename)
#nrows, ncols, fmts
header0 = headers[0]
result0 = A[header0]
nrows = result0.size
if result_type == 'Nodal':
assert nrows == self.gui.nnodes, 'nrows=%s nnodes=%s' % (
nrows, self.gui.nnodes)
result_type2 = 'node'
#ids = self.node_ids
elif result_type == 'Elemental':
assert nrows == self.gui.nelements, 'nrows=%s nelements=%s' % (
nrows, self.gui.nelements)
result_type2 = 'centroid'
#ids = self.element_ids
else:
raise NotImplementedError('result_type=%r' % result_type)
#num_ids = len(ids)
#if num_ids != nrows:
#A2 = {}
#for key, matrix in A.items():
#fmt = fmt_dict[key]
#assert fmt not in ['%i'], 'fmt=%r' % fmt
#if len(matrix.shape) == 1:
#matrix2 = np.full(num_ids, dtype=matrix.dtype)
#iids = np.searchsorted(ids, )
#A = A2
self._add_cases_to_form(A,
fmt_dict,
headers,
result_type2,
out_filename_short,
update=True,
is_scalar=True)
def _load_csv(self, result_type, out_filename, stop_on_failure=False):
"""
common method between:
- on_add_nodal_results(filename)
- on_add_elemental_results(filename)
Parameters
----------
result_type : str
???
out_filename : str
the CSV filename to load
"""
out_filename_short = os.path.relpath(out_filename)
A, fmt_dict, headers = load_csv(out_filename)
#nrows, ncols, fmts
header0 = headers[0]
result0 = A[header0]
nrows = result0.size
if result_type == 'Nodal':
nnodes = self.gui.nnodes
if nrows != nnodes:
self.log.warning(
'The fringe CSV has %i rows, but there are %i nodes in the '
'model. Verify that the result is for the correct model and '
"that it's not an elemental result." % (nrows, nnodes))
A = _resize_array(A, A['index'], self.gui.node_ids, nrows,
nnodes)
result_type2 = 'node'
elif result_type == 'Elemental':
nelements = self.gui.nelements
if nrows != nelements:
self.log.warning(
'The fringe CSV has %i rows, but there are %i elements in the '
'model. Verify that the result is for the correct model and '
"that it's not a nodal result." % (nrows, nelements))
A = _resize_array(A, A['index'], self.gui.element_ids, nrows,
nelements)
result_type2 = 'centroid'
else:
raise NotImplementedError('result_type=%r' % result_type)
#num_ids = len(ids)
#if num_ids != nrows:
#A2 = {}
#for key, matrix in A.items():
#fmt = fmt_dict[key]
#assert fmt not in ['%i'], 'fmt=%r' % fmt
#if len(matrix.shape) == 1:
#matrix2 = np.full(num_ids, dtype=matrix.dtype)
#iids = np.searchsorted(ids, )
#A = A2
self._add_cases_to_form(A,
fmt_dict,
headers,
result_type2,
out_filename_short,
update=True,
is_scalar=True)
def test_gui_csv_03b(self):
"""tests solid_bending_multi_node.csv"""
csv_filename = os.path.join(MODEL_PATH, 'solid_bending',
'solid_bending_multi_node.csv')
load_csv(csv_filename)
