Пример #1
0
 def test_names(self):
     """names property works"""
     data = {
         ("ABAYE2984", "Atu3667"): 0.25,
         ("ABAYE2984", "Avin_42730"): 0.638,
         ("ABAYE2984", "BAA10469"): None,
         ("Atu3667", "ABAYE2984"): 0.25,
         ("Atu3667", "Avin_42730"): 2.368,
         ("Atu3667", "BAA10469"): 0.25,
         ("Avin_42730", "ABAYE2984"): 0.638,
         ("Avin_42730", "Atu3667"): 2.368,
         ("Avin_42730", "BAA10469"): 1.85,
         ("BAA10469", "ABAYE2984"): 0.25,
         ("BAA10469", "Atu3667"): 0.25,
         ("BAA10469", "Avin_42730"): 1.85,
     }
     names = set()
     for p in data:
         names.update(p)
     darr = DistanceMatrix(data)
     self.assertEqual(set(darr.names), names)
     darr = darr.drop_invalid()
     for n in ("ABAYE2984", "BAA10469"):
         names.remove(n)
     self.assertEqual(set(darr.names), names)
Пример #2
0
    def test_dropping_from_matrix(self):
        """pairwise distances should have method for dropping invalid data"""
        data = {
            ("ABAYE2984", "Atu3667"): None,
            ("ABAYE2984", "Avin_42730"): 0.638,
            ("ABAYE2984", "BAA10469"): None,
            ("Atu3667", "ABAYE2984"): None,
            ("Atu3667", "Avin_42730"): 2.368,
            ("Atu3667", "BAA10469"): None,
            ("Avin_42730", "ABAYE2984"): 0.638,
            ("Avin_42730", "Atu3667"): 2.368,
            ("Avin_42730", "BAA10469"): 1.85,
            ("BAA10469", "ABAYE2984"): None,
            ("BAA10469", "Atu3667"): None,
            ("BAA10469", "Avin_42730"): 1.85,
        }

        darr = DistanceMatrix(data)
        new = darr.drop_invalid()
        self.assertEqual(new, None)

        data = {
            ("ABAYE2984", "Atu3667"): 0.25,
            ("ABAYE2984", "Avin_42730"): 0.638,
            ("ABAYE2984", "BAA10469"): None,
            ("Atu3667", "ABAYE2984"): 0.25,
            ("Atu3667", "Avin_42730"): 2.368,
            ("Atu3667", "BAA10469"): 0.25,
            ("Avin_42730", "ABAYE2984"): 0.638,
            ("Avin_42730", "Atu3667"): 2.368,
            ("Avin_42730", "BAA10469"): 1.85,
            ("BAA10469", "ABAYE2984"): 0.25,
            ("BAA10469", "Atu3667"): 0.25,
            ("BAA10469", "Avin_42730"): 1.85,
        }
        darr = DistanceMatrix(data)
        new = darr.drop_invalid()
        self.assertEqual(new.shape, (2, 2))