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if name == DEEPDISH_IO_UNPACK:
node.header['dd_io_unpack'] = v
if name.startswith(DEEPDISH_IO_PREFIX):
continue
if isinstance(v, np.ndarray):
node.add(name, NumpyArrayNode(v.shape, _format_dtype(v.dtype)))
else:
node.add(name, ValueNode(v))
if (level._v_title.startswith('list:') or
level._v_title.startswith('tuple:')):
s = level._v_title.split(':', 1)[1]
N = int(s)
lst = ListNode(typename=level._v_title.split(':')[0])
for i in range(N):
t = node.children['i{}'.format(i)]
lst.append(t)
return lst
elif level._v_title.startswith('nonetype:'):
return ValueNode(None)
elif is_pandas_dataframe(level):
pandas_type = level._v_attrs['pandas_type']
if raw:
# Treat as regular dictionary
pass
elif pandas_type == 'frame':
shape = _pandas_shape(level)
new_node = PandasDataFrameNode(shape)
return new_node
elif pandas_type == 'series':