ENH: add pandas.hdfstore suppport


includes some other commits to make testing clean
- https://github.com/jreback/into/commit/82a6546ee5c6465a851601873f00ff05109a3c0c is in another PR already
- https://github.com/jreback/into/commit/836d5caaf2e3189882a53df343a18a785672c3a2 should be cherry-picked

- Added into support to include chunking / column selection / reading and writing

the use of uri's in resource that need a hierarchical disambiguation
based on priority and the raising of ``NotImplementedError`` by matches
that do not wish to be a resource for that particular uri

IOW. a higher-priority uri matches (e.g. .h5), but the data is
actually PyTables, so HDFStore 'passes' on the processing. PyTables
is next in the chain so it will then process.

Note that a uri can be more fully-disambiguated via a head element
The default is ``hdfstore`` (this only matters for writing), reading
is unambiguous.

e.g.

```
....../file.h5 -> hdfstore
hdfstore://....../file.hdf5|h5 -> hdfstore
pytables://....../file.hdf5|h5 -> pytables
h5py://........../file.hdf5|h5 -> h5py
```
not really possible if you want complete tests. nose and py.test have different philosophys. You would have to right lots of loops in nose to get the same result with fixures in py.test.