Convert newline character

Author: woozzu

pylearn2/tests/test_blocks.py

@@ -1,29 +1,29 @@
-"""
-Unit tests for blocks
-"""
-
-from pylearn2.models.autoencoder import Autoencoder
-from pylearn2.blocks import Block, StackedBlocks
-
-
-def test_stackedblocks_with_params():
-    """
-    Test StackedBlocks when all layers have trainable params
-    """
-
-    aes = [Autoencoder(100, 50, 'tanh', 'tanh'),
-           Autoencoder(50, 10, 'tanh', 'tanh')]
-    sb = StackedBlocks(aes)
-    _params = set([p for l in sb._layers for p in l._params])
-
-    assert sb._params == _params
-
-
-def test_stackedblocks_without_params():
-    """
-    Test StackedBlocks when not all layers have trainable params
-    """
-
-    sb = StackedBlocks([Block(), Block()])
-
-    assert sb._params is None
+"""
+Unit tests for blocks
+"""
+
+from pylearn2.models.autoencoder import Autoencoder
+from pylearn2.blocks import Block, StackedBlocks
+
+
+def test_stackedblocks_with_params():
+    """
+    Test StackedBlocks when all layers have trainable params
+    """
+
+    aes = [Autoencoder(100, 50, 'tanh', 'tanh'),
+           Autoencoder(50, 10, 'tanh', 'tanh')]
+    sb = StackedBlocks(aes)
+    _params = set([p for l in sb._layers for p in l._params])
+
+    assert sb._params == _params
+
+
+def test_stackedblocks_without_params():
+    """
+    Test StackedBlocks when not all layers have trainable params
+    """
+
+    sb = StackedBlocks([Block(), Block()])
+
+    assert sb._params is None