STY: fix pep8 issues

odl/discr/lp_discr.py

@@ -620,7 +620,6 @@ def __str__(self):
         return repr(self)
 
 
-
 class DiscreteLpElement(Tensor):
 
     """Representation of a `DiscreteLp` element."""
@@ -1231,12 +1230,14 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs):
             # axes are being completely collapsed or don't change size.
             raise ValueError('`reduceat` not supported')
 
-        elif (method == 'outer' and
-              not all(isinstance(inp, type(self)) for inp in inputs)):
-                raise TypeError(
-                    "inputs must be of type {} for `method='outer'`, "
-                    'got types {}'
-                    ''.format(type(self), tuple(type(inp) for inp in inputs)))
+        elif (
+            method == 'outer'
+            and not all(isinstance(inp, type(self)) for inp in inputs)
+        ):
+            raise TypeError(
+                "inputs must be of type {} for `method='outer'`, got types "
+                '{}'.format(type(self), tuple(type(inp) for inp in inputs))
+            )
 
         else:  # method != '__call__', and otherwise valid
 

odl/test/discr/discr_utils_test.py

@@ -885,7 +885,9 @@ def test_collocation_interpolation_identity():
     part = odl.uniform_partition([0, 0], [1, 1], (4, 2))
     fvals = np.arange(1, 9, dtype='float64').reshape(part.shape)
 
-    collocator = lambda f: point_collocation(f, part.meshgrid)
+    def collocator(f):
+        return point_collocation(f, part.meshgrid)
+
     interpolators = [
         nearest_interpolator(fvals, part.coord_vectors, variant='left'),
         nearest_interpolator(fvals, part.coord_vectors, variant='right'),

odl/test/trafos/fourier_test.py

@@ -39,7 +39,6 @@
 # --- Helper functions --- #
 
 
-
 def _params_from_dtype(dtype):
     if is_real_dtype(dtype):
         halfcomplex = True

odl/tomo/backends/astra_cpu.py

@@ -29,6 +29,9 @@
 __all__ = ('astra_cpu_forward_projector', 'astra_cpu_back_projector')
 
 
+# TODO: is magnification scaling at the right place?
+
+
 def _default_proj_type(geom):
     """Return the default projector type for a given geometry."""
     if isinstance(geom, ParallelBeamGeometry):
@@ -41,7 +44,6 @@ def _default_proj_type(geom):
             ''.format(type(geom))
         )
 
-# TODO: is magnification scaling at the right place?
 
 def astra_cpu_forward_projector(vol_data, geometry, proj_space, out=None,
                                 proj_type=None):

odl/tomo/backends/skimage_radon.py

@@ -138,7 +138,9 @@ def skimage_radon_back_projector(sinogram, geometry, volume_space, out=None):
     from skimage.transform import iradon
 
     theta = skimage_theta(geometry)
-    skimage_range = skimage_sinogram_space(geometry, volume_space, sinogram.space)
+    skimage_range = skimage_sinogram_space(
+        geometry, volume_space, sinogram.space
+    )
 
     skimage_sinogram = skimage_range.element()
     with writable_array(skimage_sinogram) as sino_arr: