DOCTEST: Normalize whitespace for numpy > 1.13.1

Author: effigies

nibabel/affines.py

@@ -205,7 +205,7 @@ def append_diag(aff, steps, starts=()):
     --------
     >>> aff = np.eye(4)
     >>> aff[:3,:3] = np.arange(9).reshape((3,3))
-    >>> append_diag(aff, [9, 10], [99,100])
+    >>> append_diag(aff, [9, 10], [99,100])  #doctest: +NORMALIZE_WHITESPACE
     array([[   0.,    1.,    2.,    0.,    0.,    0.],
            [   3.,    4.,    5.,    0.,    0.,    0.],
            [   6.,    7.,    8.,    0.,    0.,    0.],

nibabel/casting.py

@@ -587,7 +587,7 @@ def int_abs(arr):
     128
     >>> int_abs(np.array([-128, 127], dtype=np.int8))
     array([128, 127], dtype=uint8)
-    >>> int_abs(np.array([-128, 127], dtype=np.float32))
+    >>> int_abs(np.array([-128, 127], dtype=np.float32))  #doctest: +NORMALIZE_WHITESPACE
     array([ 128.,  127.], dtype=float32)
     """
     arr = np.array(arr, copy=False)

nibabel/nicom/dwiparams.py

@@ -88,7 +88,7 @@ def nearest_pos_semi_def(B):
     Examples
     --------
     >>> B = np.diag([1, 1, -1])
-    >>> nearest_pos_semi_def(B)
+    >>> nearest_pos_semi_def(B)  #doctest: +NORMALIZE_WHITESPACE
     array([[ 0.75,  0.  ,  0.  ],
            [ 0.  ,  0.75,  0.  ],
            [ 0.  ,  0.  ,  0.  ]])
@@ -145,11 +145,11 @@ def q2bg(q_vector, tol=1e-5):
 
     Examples
     --------
-    >>> q2bg([1, 0, 0])
+    >>> q2bg([1, 0, 0])  #doctest: +NORMALIZE_WHITESPACE
     (1.0, array([ 1.,  0.,  0.]))
-    >>> q2bg([0, 10, 0])
+    >>> q2bg([0, 10, 0])  #doctest: +NORMALIZE_WHITESPACE
     (10.0, array([ 0.,  1.,  0.]))
-    >>> q2bg([0, 0, 0])
+    >>> q2bg([0, 0, 0])  #doctest: +NORMALIZE_WHITESPACE
     (0.0, array([ 0.,  0.,  0.]))
     """
     q_vec = np.asarray(q_vector)

nibabel/nifti1.py

@@ -1938,13 +1938,13 @@ def set_sform(self, affine, code=None, **kwargs):
         >>> data = np.arange(24).reshape((2,3,4))
         >>> aff = np.diag([2, 3, 4, 1])
         >>> img = Nifti1Pair(data, aff)
-        >>> img.get_sform()
+        >>> img.get_sform()  #doctest: +NORMALIZE_WHITESPACE
         array([[ 2.,  0.,  0.,  0.],
                [ 0.,  3.,  0.,  0.],
                [ 0.,  0.,  4.,  0.],
                [ 0.,  0.,  0.,  1.]])
         >>> saff, code = img.get_sform(coded=True)
-        >>> saff
+        >>> saff  #doctest: +NORMALIZE_WHITESPACE
         array([[ 2.,  0.,  0.,  0.],
                [ 0.,  3.,  0.,  0.],
                [ 0.,  0.,  4.,  0.],

nibabel/quaternions.py

@@ -465,13 +465,13 @@ def quat2angle_axis(quat, identity_thresh=None):
     >>> theta, vec = quat2angle_axis([0, 1, 0, 0])
     >>> np.allclose(theta, np.pi)
     True
-    >>> vec
+    >>> vec  #doctest: +NORMALIZE_WHITESPACE
     array([ 1.,  0.,  0.])
 
     If this is an identity rotation, we return a zero angle and an
     arbitrary vector
 
-    >>> quat2angle_axis([1, 0, 0, 0])
+    >>> quat2angle_axis([1, 0, 0, 0])  #doctest: +NORMALIZE_WHITESPACE
     (0.0, array([ 1.,  0.,  0.]))
 
     Notes

nibabel/tests/test_minc1.py

@@ -122,7 +122,7 @@ def test_old_namespace():
         # depending on whether the minc.py module is already imported in this
         # test run.
         if not previous_import:
-            assert_equal(warns.pop(0).category, FutureWarning)
+            assert_equal(warns.pop(0).category, DeprecationWarning)
         from .. import Minc1Image, MincImage
         assert_equal(warns, [])
         # The import from old module is the same as that from new