odps/mars_extension/legacy/dataframe/datasource.py [939:969]:
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            cls._execute_in_cupid(ctx, op)
        else:
            cls._execute_arrow_tunnel(ctx, op)


def df_type_to_np_type(df_type, use_arrow_dtype=False):
    from ....df import types
    from ....df.backends.pd.types import _df_to_np_types

    if df_type == types.string:
        if use_arrow_dtype:
            return ArrowStringDtype()
        else:
            return np.dtype("object")
    elif df_type in _df_to_np_types:
        return _df_to_np_types[df_type]
    elif df_type == types.timestamp:
        return np.datetime64(0, "ns").dtype
    else:
        return np.dtype("object")


def read_odps_table(
    table,
    shape,
    partition=None,
    sparse=False,
    chunk_bytes=None,
    chunk_size=None,
    columns=None,
    odps_params=None,
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odps/mars_extension/oscar/dataframe/datasource.py [780:810]:
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            cls._execute_in_cupid(ctx, op)
        else:
            cls._execute_arrow_tunnel(ctx, op)


def df_type_to_np_type(df_type, use_arrow_dtype=False):
    from ....df import types
    from ....df.backends.pd.types import _df_to_np_types

    if df_type == types.string:
        if use_arrow_dtype:
            return ArrowStringDtype()
        else:
            return np.dtype("object")
    elif df_type in _df_to_np_types:
        return _df_to_np_types[df_type]
    elif df_type == types.timestamp:
        return np.datetime64(0, "ns").dtype
    else:
        return np.dtype("object")


def read_odps_table(
    table,
    shape,
    partition=None,
    sparse=False,
    chunk_bytes=None,
    chunk_size=None,
    columns=None,
    odps_params=None,
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