dask build error2

==> Starting check()...
================================================ test session starts =================================================
platform linux -- Python 3.5.1, pytest-2.9.1, py-1.4.31, pluggy-0.3.1
rootdir: /tmp/pacaurtmp-to266/python-dask/src/dask-0.8.1, inifile:
collected 868 items / 4 skipped

dask/array/tests/test_array_core.py ...................................................................................................................s.............
dask/array/tests/test_chunk.py .....
dask/array/tests/test_creation.py ....xx
dask/array/tests/test_ghost.py ................x..
dask/array/tests/test_linalg.py ......................................
dask/array/tests/test_optimization.py ......
dask/array/tests/test_percentiles.py ..
dask/array/tests/test_random.py ..............
dask/array/tests/test_rechunk.py .................
dask/array/tests/test_reductions.py ..................
dask/array/tests/test_slicing.py ........................
dask/array/tests/test_wrap.py .......
dask/bag/tests/test_bag.py ..................................s.......s.................................
dask/dataframe/tests/test_arithmetics_reduction.py ...........
dask/dataframe/tests/test_categorical.py ....
dask/dataframe/tests/test_dataframe.py .........................................................................F........................
dask/dataframe/tests/test_demo.py ..
dask/dataframe/tests/test_groupby.py ...........
dask/dataframe/tests/test_io.py ................................sssss.x..........s.......s....F
dask/dataframe/tests/test_multi.py ...........................
dask/dataframe/tests/test_optimize_dataframe.py ..
dask/dataframe/tests/test_rolling.py ....
dask/dataframe/tests/test_shuffle.py .....
dask/dataframe/tests/test_utils_dataframe.py .
dask/dataframe/tseries/tests/test_resample.py .........................................................................................................................
dask/diagnostics/tests/test_profiler.py .....ssssssss
dask/diagnostics/tests/test_progress.py ......s..
dask/store/tests/test_store.py ..
dask/tests/test_async.py ..............
dask/tests/test_base.py ....................s
dask/tests/test_context.py ..
dask/tests/test_core.py ....................
dask/tests/test_imperative.py .............x.........
dask/tests/test_multiprocessing.py .......
dask/tests/test_optimize.py ...................
dask/tests/test_order.py .......
dask/tests/test_rewrite.py ........
dask/tests/test_threaded.py .....
dask/tests/test_utils.py ........

====================================================== FAILURES ======================================================
_____________________________________________________ test_query _____________________________________________________

    def test_query():
        df = pd.DataFrame({'x': [1, 2, 3, 4], 'y': [5, 6, 7, 8]})
        a = dd.from_pandas(df, npartitions=2)
>       q = a.query('x**2 > y')

dask/dataframe/tests/test_dataframe.py:1280:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
dask/dataframe/core.py:1467: in query
    dummy = self._pd.query(expr, **kwargs)
/usr/lib/python3.5/site-packages/pandas/core/frame.py:2140: in query
    res = self.eval(expr, **kwargs)
/usr/lib/python3.5/site-packages/pandas/core/frame.py:2209: in eval
    return _eval(expr, inplace=inplace, **kwargs)
/usr/lib/python3.5/site-packages/pandas/computation/eval.py:233: in eval
    _check_engine(engine)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

engine = 'numexpr'

    def _check_engine(engine):
        """Make sure a valid engine is passed.

        Parameters
        ----------
        engine : str

        Raises
        ------
        KeyError
          * If an invalid engine is passed
        ImportError
          * If numexpr was requested but doesn't exist
        """
        if engine not in _engines:
            raise KeyError('Invalid engine {0!r} passed, valid engines are'
                           ' {1}'.format(engine, list(_engines.keys())))

        # TODO: validate this in a more general way (thinking of future engines
        # that won't necessarily be import-able)
        # Could potentially be done on engine instantiation
        if engine == 'numexpr':
            if not _NUMEXPR_INSTALLED:
>               raise ImportError("'numexpr' is not installed or an "
                                  "unsupported version. Cannot use "
                                  "engine='numexpr' for query/eval "
                                  "if 'numexpr' is not installed")
E               ImportError: 'numexpr' is not installed or an unsupported version. Cannot use engine='numexpr' for query/eval if 'numexpr' is not installed

/usr/lib/python3.5/site-packages/pandas/computation/eval.py:39: ImportError
_________________________________________________ test_to_hdf_kwargs _________________________________________________

    def test_to_hdf_kwargs():
        df = pd.DataFrame({'A': ['a', 'aaaa']})
        ddf = dd.from_pandas(df, npartitions=2)
>       ddf.to_hdf('tst.h5', 'foo4', format='table', min_itemsize=4)

dask/dataframe/tests/test_io.py:1028:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
dask/dataframe/core.py:532: in to_hdf
    fletcher32, get=get, **kwargs)
dask/dataframe/io.py:655: in to_hdf
    get=get, **dask_kwargs)
dask/base.py:43: in _get
    return get(dsk2, keys, **kwargs)
dask/async.py:516: in get_sync
    raise_on_exception=True, **kwargs)
dask/async.py:462: in get_async
    fire_task()
dask/async.py:458: in fire_task
    get_id, raise_on_exception])
dask/async.py:508: in apply_sync
    return func(*args, **kwds)
dask/async.py:264: in execute_task
    result = _execute_task(task, data)
dask/async.py:245: in _execute_task
    args2 = [_execute_task(a, cache) for a in args]
dask/async.py:245: in <listcomp>
    args2 = [_execute_task(a, cache) for a in args]
dask/async.py:246: in _execute_task
    return func(*args2)
dask/compatibility.py:26: in apply
    return func(*args, **kwargs)
/usr/lib/python3.5/site-packages/pandas/core/generic.py:1096: in to_hdf
    return pytables.to_hdf(path_or_buf, key, self, **kwargs)
/usr/lib/python3.5/site-packages/pandas/io/pytables.py:259: in to_hdf
    complib=complib) as store:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

self = <[RecursionError("maximum recursion depth exceeded") raised in repr()] HDFStore object at 0x7f1d044b8470>
path = 'tst.h5', mode = 'a', complevel = 0, complib = None, fletcher32 = False, kwargs = {}

    def __init__(self, path, mode=None, complevel=None, complib=None,
                 fletcher32=False, **kwargs):
        try:
            import tables  # noqa
        except ImportError as ex:  # pragma: no cover
            raise ImportError('HDFStore requires PyTables, "{ex}" problem '
>                             'importing'.format(ex=str(ex)))
E           ImportError: HDFStore requires PyTables, "No module named 'tables'" problem importing

/usr/lib/python3.5/site-packages/pandas/io/pytables.py:389: ImportError
=========================== 2 failed, 841 passed, 24 skipped, 5 xfailed in 141.72 seconds ============================
Exception ignored in: ==> ERROR: A failure occurred in check().
    Aborting...
:: failed to build python-dask package(s)