Reductions do not properly support unstructured distributions

This reproduces the problem

```python
# Using IPython.parallel: 'dacluster start -n4' before running.
import numpy as np
from distarray.globalapi import Context
from distarray.globalapi.maps import Distribution, NoDistMap, UnstructuredMap

nparr = np.random.rand(4, 5)

context = Context()
m0 = UnstructuredMap(4, 3, [[0], [1], [2, 3]])
m1 = NoDistMap(5, 1)
distribution = Distribution.from_maps(
context,
maps=[m0, m1],
targets=[0, 1, 3]
)

darr = context.fromarray(nparr, distribution)
from IPython.core.debugger import Tracer; Tracer()()
darr.sum(axis=1) # boom!
```

This results in

```python
Traceback (most recent call last):
File "failure.py", line 19, in
darr.sum(axis=1) # boom!
File "/Users/cfarrow/projects/distarray/distarray/globalapi/distarray.py", line 383, in sum
return self._reduce('sum_reducer', axis, dtype, out)
File "/Users/cfarrow/projects/distarray/distarray/globalapi/distarray.py", line 362, in _reduce
ddpr = out_dist.get_dim_data_per_rank()
File "/Users/cfarrow/projects/distarray/distarray/globalapi/maps.py", line 830, in get_dim_data_per_rank
dds = [enumerate(m.get_dimdicts()) for m in self.maps]
File "/Users/cfarrow/projects/distarray/distarray/globalapi/maps.py", line 510, in get_dimdicts
raise ValueError()
ValueError
```

`Distribution.reduce` does not appear to consider `UnstructuredMap`, which leads to the `indices` used by the input `UnstructuredMap` to not be propagated to the output `UnstructuredMap`.