# Buggy code
def align_dataframe_series(left, right, axis="columns"):
    if axis == "columns" or axis == 1:
        left_columns_chunks = [c.columns for c in left.cix[0, :]]
        right_index_chunks = [c.index_value for c in right.chunks]
        index_splits, index_nsplits = _calc_axis_splits(
            left.columns, right.index_value, left_columns_chunks, right_index_chunks
        )
        dummy_splits, dummy_nsplits = (
            _build_dummy_axis_split(left.chunk_shape[0]),
            left.nsplits[0],
        )
        nsplits = [dummy_nsplits, index_nsplits]
        out_chunk_shape = tuple(len(ns) for ns in nsplits)
        left_chunks = _gen_dataframe_chunks(
            _MinMaxSplitInfo(dummy_splits, index_splits), out_chunk_shape, 0, left
        )
        right_chunks = _gen_series_chunks(
            _MinMaxSplitInfo(index_splits, None), (out_chunk_shape[1],), 1, right
        )
    else:
        assert axis == "index" or axis == 0
        left_index_chunks = [c.index_value for c in left.cix[:, 0]]
        right_index_chunks = [c.index_value for c in right.chunks]
        index_splits, index_nsplits = _calc_axis_splits(
            left.index_value, right.index_value, left_index_chunks, right_index_chunks
        )
        dummy_splits, dummy_nsplits = (
            _build_dummy_axis_split(left.chunk_shape[1]),
            left.nsplits[1],
        )
        nsplits = [index_nsplits, dummy_nsplits]
        out_chunk_shape = tuple(len(ns) for ns in nsplits)
        left_chunks = _gen_dataframe_chunks(
            _MinMaxSplitInfo(index_splits, dummy_splits), out_chunk_shape, 0, left
        )
        right_chunks = _gen_series_chunks(
            _MinMaxSplitInfo(index_splits, None), (out_chunk_shape[0],), 1, right
        )

    return nsplits, out_chunk_shape, left_chunks, right_chunks


# Traceback (Exception)
In [28]: df = md.DataFrame(np.random.rand(10, 2))

In [29]: df + np.random.rand(10, 2)
---------------------------------------------------------------------------
Exception                                 Traceback (most recent call last)
<ipython-input-29-4a212df011a8> in <module>
----> 1 df + np.random.rand(10, 2)

~/Documents/mars_dev/mars/mars/dataframe/utils.py in wrapper(*args, **kwargs)
613     def wrapper(*args, **kwargs):
614         try:
--> 615             return func(*args, **kwargs)
616         except NotImplementedError:
617             return NotImplemented

~/Documents/mars_dev/mars/mars/dataframe/arithmetic/add.py in add(df, other, axis, level, fill_value)
33
34 def add(df, other, axis='columns', level=None, fill_value=None):
---> 35     other = wrap_sequence(other)
36     op = DataFrameAdd(axis=axis, level=level, fill_value=fill_value, lhs=df, rhs=other)
37     return op(df, other)

~/Documents/mars_dev/mars/mars/dataframe/utils.py in wrap_sequence(seq)
606
607     if isinstance(seq, (list, tuple, np.ndarray, TENSOR_TYPE)):
--> 608         seq = Series(seq)
609     return seq
610

~/Documents/mars_dev/mars/mars/dataframe/initializer.py in __init__(self, data, index, dtype, name, copy, chunk_size, gpu, sparse)
46             series = data
47         else:
---> 48             pd_series = pd.Series(data, index=index, dtype=dtype, name=name, copy=copy)
49             series = from_pandas_series(pd_series, chunk_size=chunk_size, gpu=gpu, sparse=sparse)
50         super(Series, self).__init__(series.data)

~/miniconda3/lib/python3.7/site-packages/pandas/core/series.py in __init__(self, data, index, dtype, name, copy, fastpath)
312                     data = data.copy()
313             else:
--> 314                 data = sanitize_array(data, index, dtype, copy, raise_cast_failure=True)
315
316                 data = SingleBlockManager(data, index, fastpath=True)

~/miniconda3/lib/python3.7/site-packages/pandas/core/internals/construction.py in sanitize_array(data, index, dtype, copy, raise_cast_failure)
727     elif subarr.ndim > 1:
728         if isinstance(data, np.ndarray):
--> 729             raise Exception("Data must be 1-dimensional")
730         else:
731             subarr = com.asarray_tuplesafe(data, dtype=dtype)

Exception: Data must be 1-dimensional

# Fixed code
def align_dataframe_series(left, right, axis="columns"):
    if axis == "columns" or axis == 1:
        left_columns_chunks = [c.columns_value for c in left.cix[0, :]]
        right_index_chunks = [c.index_value for c in right.chunks]
        index_splits, index_nsplits = _calc_axis_splits(
            left.columns_value,
            right.index_value,
            left_columns_chunks,
            right_index_chunks,
        )
        dummy_splits, dummy_nsplits = (
            _build_dummy_axis_split(left.chunk_shape[0]),
            left.nsplits[0],
        )
        nsplits = [dummy_nsplits, index_nsplits]
        out_chunk_shape = tuple(len(ns) for ns in nsplits)
        left_chunks = _gen_dataframe_chunks(
            _MinMaxSplitInfo(dummy_splits, index_splits), out_chunk_shape, 0, left
        )
        right_chunks = _gen_series_chunks(
            _MinMaxSplitInfo(index_splits, None), (out_chunk_shape[1],), 1, right
        )
    else:
        assert axis == "index" or axis == 0
        left_index_chunks = [c.index_value for c in left.cix[:, 0]]
        right_index_chunks = [c.index_value for c in right.chunks]
        index_splits, index_nsplits = _calc_axis_splits(
            left.index_value, right.index_value, left_index_chunks, right_index_chunks
        )
        dummy_splits, dummy_nsplits = (
            _build_dummy_axis_split(left.chunk_shape[1]),
            left.nsplits[1],
        )
        nsplits = [index_nsplits, dummy_nsplits]
        out_chunk_shape = tuple(len(ns) for ns in nsplits)
        left_chunks = _gen_dataframe_chunks(
            _MinMaxSplitInfo(index_splits, dummy_splits), out_chunk_shape, 0, left
        )
        right_chunks = _gen_series_chunks(
            _MinMaxSplitInfo(index_splits, None), (out_chunk_shape[0],), 1, right
        )

    return nsplits, out_chunk_shape, left_chunks, right_chunks