COSMIT pep8

Author: amueller

examples/gaussian_process/plot_gp_regression.py

@@ -39,6 +39,7 @@
 
 np.random.seed(1)
 
+
 def f(x):
  """The function to predict."""
  return x * np.sin(x)

sklearn/feature_extraction/tests/test_text.py

@@ -123,7 +123,7 @@ def test_unicode_decode_error():
  # decode_error default to strict, so this should fail
  # First, encode (as bytes) a unicode string.
  text = u"J'ai mang\xe9 du kangourou ce midi, c'\xe9tait pas tr\xeas bon."
- text_bytes =  text.encode('utf-8')
+ text_bytes = text.encode('utf-8')
  # Then let the Analyzer try to decode it as ascii. It should fail,
  # because we have given it an incorrect charset.
  wa = WordNGramAnalyzer(min_n=1, max_n=2, stop_words=None, charset='ascii')

sklearn/svm/tests/test_svm.py

@@ -279,10 +279,9 @@ def test_decision_function():
  dec = np.dot(X, clf.coef_.T) + clf.intercept_
  prediction = clf.predict(X)
  assert_array_almost_equal(dec, clf.decision_function(X))
- assert_array_almost_equal(prediction, clf.label_[(clf.decision_function(X) >
- 0).astype(np.int).ravel()])
- expected = np.array([[-1. ], [-0.66666667], [-1. ],
- [ 0.66666667], [ 1. ], [ 1. ]])
+ assert_array_almost_equal(prediction, clf.label_[(clf.decision_function(X)
+ > 0).astype(np.int).ravel()])
+ expected = np.array([[-1.], [-0.66], [-1.], [0.66], [1.], [1.]])
  assert_array_almost_equal(clf.decision_function(X), expected)