INNER CODE UNIT · Python
aib
lzz19980125/awesome-time-series-segmentation-papers · DASSA-master/dassa.py:14
def aib(data_dir, MinW, N_mdl, CalcMode, _dir, matlab_path):
matlab_function = "AIB('" + _dir + "', '" + data_dir + "', '" + str(MinW) + "', '" + str(N_mdl) + "', '" + \
str(CalcMode) + "')"
subprocess.call([matlab_path, "-nosplash", "-nodisplay", "-r", matlab_function])
def toposort(graph):
print('toposort...')
"""http://code.activestate.com/recipes/578272-topological-sort/
Dependencies are expressed as a dictionary whose keys are items
and whose values are a set of dependent items. Output is a list of
sets in topological order. The first set consists of items with no
dependences, each subsequent set consists of items that depend upon
items in the preceeding sets.
>>> print '\\n'.join(repr(sorted(x)) for x in toposort2({
... 2: set([11]),