Traceback (most recent call last):

 "/usr/local/lib/python2.7/dist-packages/rpyc/core/protocol.py", line 305, in _dispatch_request
res = self._HANDLERS[handler](self, *args)

 "/usr/local/lib/python2.7/dist-packages/rpyc/core/protocol.py", line 535, in _handle_call
return self._local_objects[oid](*args, **dict(kwargs))

 "/usr/local/lib/python2.7/dist-packages/flexget/ipc.py", line 79, in exposed_handle_cli
self.manager.handle_cli(options)

 "/usr/local/lib/python2.7/dist-packages/flexget/manager.py", line 330, in handle_cli
options.cli_command_callback(self, command_options)

 "/usr/local/lib/python2.7/dist-packages/flexget/plugins/cli/entry_list.py", line 33, in do_cli
entry_list_show(options)

 "/usr/local/lib/python2.7/dist-packages/flexget/plugins/cli/entry_list.py", line 82, in entry_list_show
entry = get_entry_by_id(entry_list.id, int(options.entry), session=session)TypeError: int() argument must be a string or a number, not 'NoneType'
```Traceback (most recent call last):


 "filter_topology.py", line 124, in <module>

if (topography_point_simple(points, normals, i, diameter=160)):


 "filter_topology.py", line 70, in topography_point_simple

print(is_convex(filtered_points))


 "filter_topology.py", line 22, in is_convex

mesh = trimesh.Trimesh(vertices=vertices, faces=faces)


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/base.py", line 192, in __init__

self.process()


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/base.py", line 224, in process

self.merge_vertices()


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/base.py", line 1064, in merge_vertices

textured=textured)


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/grouping.py", line 86, in merge_vertices

digits=digits)


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/grouping.py", line 412, in unique_rows

hashes = hashable_rows(data, digits=digits)


 "/Users/vlall/.virtualenvs/m/lib/python3.7/site-packages/trimesh/grouping.py", line 195, in hashable_rows

hashable = np.ascontiguousarray(as_int).view(dtype).reshape(-1)
ValueError: When changing to a larger dtype, its size must be a divisor of the total size in bytes of the last axis of the array.
