def __init__(self, dataset, attrs, parent):
if isinstance(dataset, _jdnode):
if dataset.isString() or not dataset.isSupported():
dataset = asarray(dataset.getString())
shape = None
dtype = None
maxshape = None
self.rank = dataset.ndim
else:
maxshape = tuple(dataset.getMaxShape())
dataset = dataset.getDataset()
if isinstance(dataset, _ldataset) or isinstance(dataset, _dataset):
dtype = _getdtypefromjdataset(dataset)
else:
dtype = None
shape = tuple(dataset.getShape())
self.rank = len(shape)
else:
dataset = asarray(dataset)
shape = None
dtype = None
maxshape = None
self.rank = dataset.ndim
_hdataset.__init__(self, dataset, shape, dtype, maxshape, attrs, parent)
def __init__(self, dataset, attrs, parent):
if isinstance(dataset, _jdnode):
if dataset.isString() or not dataset.isSupported():
dataset = asarray(dataset.getString())
shape = None
dtype = None
maxshape = None
self.rank = dataset.ndim
else:
maxshape = tuple(dataset.getMaxShape())
dataset = dataset.getDataset()
if isinstance(dataset, _ldataset) or isinstance(
dataset, _dataset):
dtype = _getdtypefromjdataset(dataset)
else:
dtype = None
shape = tuple(dataset.getShape())
self.rank = len(shape)
else:
dataset = asarray(dataset)
shape = None
dtype = None
maxshape = None
self.rank = dataset.ndim
_hdataset.__init__(self, dataset, shape, dtype, maxshape, attrs,
parent)
def __getitem__(self, key):
data = self._getdata()
if isinstance(data, _ldataset):
isslice, key = _toslice(self.rank, key)
if not isslice: # single item
key = tuple([ slice(k,k+1) for k in key ])
v = _getslice(data, key)
v = v.getAbs(0)
else:
v = _getslice(data, key)
return v
return asarray(data)[key]
def __getitem__(self, key):
data = self._getdata()
if isinstance(data, _ldataset):
isslice, key = _toslice(self.rank, key)
if not isslice: # single item
key = tuple([slice(k, k + 1) for k in key])
v = _getslice(data, key)
v = v.getAbs(0)
else:
v = _getslice(data, key)
return v
return asarray(data)[key]
