def test_mst_equal(self):
ifgs = common.small_data_setup(datafiles=self.dest_paths)
mst_original_p = mst.mst_boolean_array(ifgs)
ifgs_s = common.small_data_setup(datafiles=self.dest_paths_s)
mst_original_s = mst.mst_boolean_array(ifgs_s)
np.testing.assert_array_equal(self.mst, mst_original_p)
np.testing.assert_array_equal(self.mst, mst_original_s)
np.testing.assert_array_equal(self.mst, self.mst_p)
def setUpClass(cls):
cls.ifgs = common.small_data_setup()
cls.params = default_params()
cls.mstmat = mst.mst_boolean_array(cls.ifgs)
r_dist = covariance.RDist(cls.ifgs[0])()
cls.maxvar = [covariance.cvd(i, cls.params, r_dist)[0]
for i in cls.ifgs]
cls.vcmt = covariance.get_vcmt(cls.ifgs, cls.maxvar)
def test_mst_multiprocessing(self):
self.params[cf.PARALLEL] = True
original_mst = mst.mst_boolean_array(self.ifgs)
parallel_mst = mst.mst_parallel(self.ifgs, params=self.params)
np.testing.assert_array_equal(original_mst, parallel_mst)