Example #1
0
 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)
Example #2
0
 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)
Example #3
0
 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)