Make shape a writable ndarray

For the record, I don't think this will help.

Author: effigies

nibabel/fileslice.py

@@ -770,6 +770,6 @@ def strided_scalar(shape, scalar=0.):
         out to the full array `shape`.
     """
     shape = tuple(shape)
-    scalar = np.zeros((1,), dtype=type(scalar)) + scalar
+    scalar = np.array(scalar)
     strides = [0] * len(shape)
     return np.lib.stride_tricks.as_strided(scalar, shape, strides)

nibabel/parrec.py

@@ -609,7 +609,7 @@ def __getitem__(self, slicer):
                                  'F')
         # Broadcast scaling to shape of original data
         slopes, inters = self._slice_scaling
-        fake_data = strided_scalar(self._shape)
+        fake_data = strided_scalar(np.array(self._shape))
         _, slopes, inters = np.broadcast_arrays(fake_data, slopes, inters)
         # Slice scaling to give output shape
         return raw_data * slopes[slicer] + inters[slicer]