def setUp(self):
     self.format = mock.MagicMock(return_value=lambda x: str(x))
     self.label_1 = "a"
     self.label_2 = "b"
     self.true_positive = 8
     self.true_negative = 8
     self.false_positive = 8
     self.false_negative = 8
     self.confusion_table = ConfusionTable(
         self.label_1,
         self.true_positive,
         self.true_negative,
         self.false_positive,
         self.false_negative,
         self.format
     )
     self.predictions = pmap({
         self.label_1: pmap({
             self.label_1: self.true_positive,
             self.label_2: self.false_positive,
         }),
         self.label_2: pmap({
             self.label_1: self.false_negative,
             self.label_2: self.true_negative
         })
     })
 def setUp(self):
     self.label_1 = "a"
     self.label_2 = "b"
     self.label_3 = "c"
     self.true_positive = 8
     self.true_negative = 8
     self.false_positive = 8
     self.false_negative = 8
     self.ct = ConfusionTable(
         self.label_1,
         self.true_positive,
         self.true_negative,
         self.false_positive,
         self.false_negative,
         None
     )
class ConfusionTableGeneratorTest(unittest.TestCase):

    def setUp(self):
        self.format = mock.MagicMock(return_value=lambda x: str(x))
        self.label_1 = "a"
        self.label_2 = "b"
        self.true_positive = 8
        self.true_negative = 8
        self.false_positive = 8
        self.false_negative = 8
        self.confusion_table = ConfusionTable(
            self.label_1,
            self.true_positive,
            self.true_negative,
            self.false_positive,
            self.false_negative,
            self.format
        )
        self.predictions = pmap({
            self.label_1: pmap({
                self.label_1: self.true_positive,
                self.label_2: self.false_positive,
            }),
            self.label_2: pmap({
                self.label_1: self.false_negative,
                self.label_2: self.true_negative
            })
        })

    def test_generated_confusion_table(self):
        generated_confusion_table_string = generate_confusion_table(
            self.predictions,
            self.label_1,
            self.format
        ).__str__()

        self.assertEqual(self.format.call_count, 1)

        self.assertEqual(
            generated_confusion_table_string,
            self.confusion_table.__str__()
        )

        self.assertEqual(self.format.call_count, 2)
class ConfusionTableTest(unittest.TestCase):

    def setUp(self):
        self.label_1 = "a"
        self.label_2 = "b"
        self.label_3 = "c"
        self.true_positive = 8
        self.true_negative = 8
        self.false_positive = 8
        self.false_negative = 8
        self.ct = ConfusionTable(
            self.label_1,
            self.true_positive,
            self.true_negative,
            self.false_positive,
            self.false_negative,
            None
        )

    def test_all_properties_match(self):
        self.failUnlessEqual(self.ct.accuracy, 0.5)
        self.failUnlessEqual(self.ct.precision, 0.5)
        self.failUnlessEqual(self.ct.recall, 0.5)
        self.failUnlessEqual(self.ct.specificity, 0.5)
        self.failUnlessEqual(self.ct.f1score, 0.5)
        self.failUnlessEqual(self.ct.fall_out, 0.5)
        self.failUnlessEqual(self.ct.miss_rate, 0.5)
        self.failUnlessEqual(self.ct.FDR, 0.5)
        self.failUnlessEqual(self.ct.NPV, 0.5)
        self.failUnlessEqual(self.ct.PLR, 1)
        self.failUnlessEqual(self.ct.NLR, 1)
        self.failUnlessEqual(self.ct.DOR, 1)

    @mock.patch('confusion_table.src._confusion_table.ConfusionTable.__str__', return_value='potato')
    def test_confusion_table_str(self, mocked_str):
        assert self.ct.__str__() == 'potato'
        print mocked_str.call_count