diff options
author | Charles Harris <charlesr.harris@gmail.com> | 2014-08-04 14:32:34 -0600 |
---|---|---|
committer | Charles Harris <charlesr.harris@gmail.com> | 2014-08-04 14:32:34 -0600 |
commit | 192f025ce5280dffbdd361e3ee0645aa08764156 (patch) | |
tree | 5d396aa22ec11fcb3000600d8e43d1ee1bfec7f6 /numpy/polynomial/tests/test_polynomial.py | |
parent | 74bd706d6fccb0512b276a038274680fd6568b75 (diff) | |
parent | f9c6398d4f021e9509e19157a0d5ee72b27a8c2a (diff) | |
download | numpy-192f025ce5280dffbdd361e3ee0645aa08764156.tar.gz |
Merge pull request #4924 from charris/pep8-numpy-polynomial
Pep8 numpy polynomial
Diffstat (limited to 'numpy/polynomial/tests/test_polynomial.py')
-rw-r--r-- | numpy/polynomial/tests/test_polynomial.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/polynomial/tests/test_polynomial.py b/numpy/polynomial/tests/test_polynomial.py index 77092cd2f..c806a8497 100644 --- a/numpy/polynomial/tests/test_polynomial.py +++ b/numpy/polynomial/tests/test_polynomial.py @@ -420,14 +420,14 @@ class TestMisc(TestCase): return x*(x - 1)*(x - 2) # Test exceptions - assert_raises(ValueError, poly.polyfit, [1], [1], -1) - assert_raises(TypeError, poly.polyfit, [[1]], [1], 0) - assert_raises(TypeError, poly.polyfit, [], [1], 0) - assert_raises(TypeError, poly.polyfit, [1], [[[1]]], 0) - assert_raises(TypeError, poly.polyfit, [1, 2], [1], 0) - assert_raises(TypeError, poly.polyfit, [1], [1, 2], 0) - assert_raises(TypeError, poly.polyfit, [1], [1], 0, w=[[1]]) - assert_raises(TypeError, poly.polyfit, [1], [1], 0, w=[1, 1]) + assert_raises(ValueError, poly.polyfit, [1], [1], -1) + assert_raises(TypeError, poly.polyfit, [[1]], [1], 0) + assert_raises(TypeError, poly.polyfit, [], [1], 0) + assert_raises(TypeError, poly.polyfit, [1], [[[1]]], 0) + assert_raises(TypeError, poly.polyfit, [1, 2], [1], 0) + assert_raises(TypeError, poly.polyfit, [1], [1, 2], 0) + assert_raises(TypeError, poly.polyfit, [1], [1], 0, w=[[1]]) + assert_raises(TypeError, poly.polyfit, [1], [1], 0, w=[1, 1]) # Test fit x = np.linspace(0, 2) |