diff options
Diffstat (limited to 'python/pyspark/mllib/tests.py')
| -rw-r--r-- | python/pyspark/mllib/tests.py | 16 |
1 files changed, 13 insertions, 3 deletions
diff --git a/python/pyspark/mllib/tests.py b/python/pyspark/mllib/tests.py index 3f3dfd186c..c519883cdd 100644 --- a/python/pyspark/mllib/tests.py +++ b/python/pyspark/mllib/tests.py @@ -260,7 +260,7 @@ class VectorTests(MLlibTestCase): self.assertEqual(sv[-3], 0.) self.assertEqual(sv[-5], 0.) for ind in [5, -6]: - self.assertRaises(ValueError, sv.__getitem__, ind) + self.assertRaises(IndexError, sv.__getitem__, ind) for ind in [7.8, '1']: self.assertRaises(TypeError, sv.__getitem__, ind) @@ -268,11 +268,15 @@ class VectorTests(MLlibTestCase): self.assertEqual(zeros[0], 0.0) self.assertEqual(zeros[3], 0.0) for ind in [4, -5]: - self.assertRaises(ValueError, zeros.__getitem__, ind) + self.assertRaises(IndexError, zeros.__getitem__, ind) empty = SparseVector(0, {}) for ind in [-1, 0, 1]: - self.assertRaises(ValueError, empty.__getitem__, ind) + self.assertRaises(IndexError, empty.__getitem__, ind) + + def test_sparse_vector_iteration(self): + self.assertListEqual(list(SparseVector(3, [], [])), [0.0, 0.0, 0.0]) + self.assertListEqual(list(SparseVector(5, [0, 3], [1.0, 2.0])), [1.0, 0.0, 0.0, 2.0, 0.0]) def test_matrix_indexing(self): mat = DenseMatrix(3, 2, [0, 1, 4, 6, 8, 10]) @@ -281,6 +285,9 @@ class VectorTests(MLlibTestCase): for j in range(2): self.assertEqual(mat[i, j], expected[i][j]) + for i, j in [(-1, 0), (4, 1), (3, 4)]: + self.assertRaises(IndexError, mat.__getitem__, (i, j)) + def test_repr_dense_matrix(self): mat = DenseMatrix(3, 2, [0, 1, 4, 6, 8, 10]) self.assertTrue( @@ -352,6 +359,9 @@ class VectorTests(MLlibTestCase): self.assertEqual(expected[i][j], sm1[i, j]) self.assertTrue(array_equal(sm1.toArray(), expected)) + for i, j in [(-1, 1), (4, 3), (3, 5)]: + self.assertRaises(IndexError, sm1.__getitem__, (i, j)) + # Test conversion to dense and sparse. smnew = sm1.toDense().toSparse() self.assertEqual(sm1.numRows, smnew.numRows) |