def test_matrix(self): fvm = FeatureVectorMatrix() fvm.set_column_names(c3) fvm.add_row(d3, 'one') fvm.add_row(d4, 'two') fvm.add_row(d4, 'three') self.assertEquals(4, fvm.column_count()) self.assertEquals(3, fvm.row_count()) v3_old = fvm.get_row_list(0) self.assertEquals(fvm.get_row_dict('two'), d4) rfvm = fvm.transpose() self.assertEquals(3, rfvm.column_count()) self.assertEquals(4, rfvm.row_count()) self.assertEquals(rfvm.get_row_dict(2), {'three': 3, 'two': 3, 'one': 3}) self.assertEquals(rfvm.get_row_dict(3), {'two': 4, 'three': 4}) self.assertEquals(rfvm.column_names(), ['one', 'two', 'three']) self.assertEquals(rfvm.get_row_list(2), [3, 3, 3]) self.assertEquals(rfvm.get_row_list(3), [0, 4, 4]) fvm2 = rfvm.transpose() self.assertEquals(4, fvm2.column_count()) self.assertEquals(3, fvm2.row_count()) self.assertEquals(fvm2.get_row_dict(2), d4) self.assertEquals(fvm2.get_row_dict(0), d3) self.assertEquals(fvm2.get_row_list(0), v3_old) self.assertEquals(fvm2.get_row_dict('two'), d4)
def test_exceptions(self): fvm = FeatureVectorMatrix() caught = False try: fvm.add_row(v3) except IndexError: caught = True self.assertTrue(caught, "You can't add a list to a fvm with no columns defined") fvm.set_column_names(c3) self.assertEquals(3, fvm.column_count()) fvm.add_row(v3) self.assertEquals(1, fvm.row_count()) caught = False try: print fvm.keys() except NotImplementedError: caught = True self.assertTrue(caught, "You can't get keys without all rows keyed") caught = False try: fvm.transpose() except NotImplementedError: caught = True self.assertTrue(caught, "You can't rotate a fvm without all rows keyed") caught = False try: fvm.add_row(v4) except IndexError: caught = True self.assertTrue(caught, "You can't add a list to a fvm with more columns than the given list") fvm.add_row(d4) self.assertEquals(len(fvm.column_names()), 4) # test that the already added row gets the extra 0 appended self.assertEquals(fvm.get_row_list(0), [1, 2, 3,0])
def test_getitem(self): fvm = FeatureVectorMatrix(default_to_hashed_rows=True) fvm.set_column_names(c3) self.assertEquals(c3, fvm.column_names()) fvm.add_row(v3, 'first') self.assertEquals(fvm[0], d3) tfvm = fvm.transpose() self.assertEquals(tfvm[0], {'first': 1})
def test_transpose_default_value(self): fvm = FeatureVectorMatrix(default_value=-1) fvm.set_column_names(c3) self.assertEquals(c3, fvm.column_names()) fvm.add_row(v3, 'first') fvm.add_row(d4, 'second') self.assertEquals(fvm[0], [1, 2, 3, -1]) tfvm = fvm.transpose() for key in tfvm: self.assertIsNotNone(tfvm[key]) self.assertEquals(tfvm.get_row_dict(3), {'second': 4})