Be numpy 1.11 compliant

Author: MarcCote

nibabel/streamlines/array_sequence.py

@@ -75,7 +75,7 @@ def __init__(self, iterable=None, buffer_size=4):
                 except TypeError:
                     # Can't get the number of elements in iterable. So,
                     # we use a memory buffer while building the ArraySequence.
-                    n_rows_buffer = buffer_size*1024**2 // e.nbytes
+                    n_rows_buffer = int(buffer_size*1024**2 // e.nbytes)
                     new_shape = (n_rows_buffer,) + e.shape[1:]
 
                 self._data = np.empty(new_shape, dtype=e.dtype)

nibabel/streamlines/tractogram.py

@@ -42,7 +42,7 @@ def __init__(self, *args, **kwargs):
     def __getitem__(self, key):
         try:
             return self.store[key]
-        except (KeyError, TypeError):
+        except (KeyError, TypeError, IndexError):
             pass  # Maybe it is an integer or a slicing object
 
         # Try to interpret key as an index/slice for every data element, in
@@ -53,7 +53,7 @@ def __getitem__(self, key):
         try:
             for k, v in self.items():
                 new_dict[k] = v[idx]
-        except (TypeError, ValueError):
+        except (TypeError, ValueError, IndexError):
             pass
         else:
             return new_dict