Fix for regression in scipy

PIL/Image.py

@@ -1530,6 +1530,7 @@ def resize(self, size, resample=NEAREST):
 
         self.load()
 
+        size=tuple(size)
         if self.size == size:
             return self._new(self.im)
 

Tests/test_scipy.py

@@ -0,0 +1,42 @@
+from helper import PillowTestCase
+
+try:
+    import numpy as np
+    from numpy.testing import assert_equal
+
+    from scipy import misc
+    HAS_SCIPY = True
+except:
+    HAS_SCIPY = False
+
+
+class Test_scipy_resize(PillowTestCase):
+    """ Tests for scipy regression in 2.6.0 """
+
+    def setUp(self):
+        if not HAS_SCIPY:
+            self.skipTest("Scipy Required")
+
+    def test_imresize(self):
+        im = np.random.random((10,20))
+        for T in np.sctypes['float'] + [float]:
+            # 1.1 rounds to below 1.1 for float16, 1.101 works
+            im1 = misc.imresize(im,T(1.101))
+            self.assertEqual(im1.shape,(11,22))
+
+    def test_imresize4(self):
+        im = np.array([[1,2],
+                       [3,4]])
+        res = np.array([[ 1. ,  1. ,  1.5,  2. ],
+                        [ 1. ,  1. ,  1.5,  2. ],
+                        [ 2. ,  2. ,  2.5,  3. ],
+                        [ 3. ,  3. ,  3.5,  4. ]], dtype=np.float32)
+        # Check that resizing by target size, float and int are the same
+        im2 = misc.imresize(im, (4,4), mode='F')  # output size
+        im3 = misc.imresize(im, 2., mode='F')  # fraction
+        im4 = misc.imresize(im, 200, mode='F')  # percentage
+        assert_equal(im2, res)
+        assert_equal(im3, res)
+        assert_equal(im4, res)
+
+