def read_damask_hdf5_file(hdf5_path, incremental_data, operations=None, visualise=None):
out = read_HDF5_file(hdf5_path, incremental_data, operations=operations)
if visualise is not None:
if visualise is True:
visualise = {}
os.mkdir('viz')
with working_directory('viz'):
from damask import Result
result = Result(hdf5_path)
incs = visualise.pop('increments', None)
if incs:
if not isinstance(incs, list):
incs = [incs]
incs_normed = []
for i in incs:
if i >= 0:
i_normed = i
else:
i_normed = len(result.increments) + i
incs_normed.append(i_normed)
result.pick('increments', incs_normed)
result.to_vtk(**visualise)
return out
def default(tmp_path, reference_dir):
"""Small Result file in temp location for modification."""
fname = '12grains6x7x8_tensionY.hdf5'
shutil.copy(os.path.join(reference_dir, fname), tmp_path)
f = Result(os.path.join(tmp_path, fname))
f.pick('times', 20.0)
return f