def unravel_index(indices, dims):
'''Converts a flat index (or array of them) into a tuple of coordinate arrays
'''
if isinstance(indices, (tuple, list)):
indices = ndarray(buffer=indices)._jdataset()
if not isinstance(indices, _ds):
return tuple(_abstractds.getNDPositionFromShape(indices, dims))
return tuple(_dsutils.calcPositionsFromIndexes(indices, dims))
def unravel_index(indices, dims):
'''Converts a flat index (or array of them) into a tuple of coordinate arrays
'''
if isinstance(indices, (tuple, list)):
indices = ndarray(buffer=indices)._jdataset()
if not isinstance(indices, _ds):
return tuple(_abstractds.getNDPositionFromShape(indices, dims))
return tuple(_dsutils.calcPositionsFromIndexes(indices, dims))
def _getdtypefromobj(jobj):
jdtype = _abstractds.getDTypeFromObject(jobj)
if jdtype in __jdtype2jytype:
return __jdtype2jytype[jdtype]
raise ValueError, "Java dataset type unknown"
def _getdtypefromobj(jobj):
jdtype = _abstractds.getDTypeFromObject(jobj)
if jdtype in __jdtype2jytype:
return __jdtype2jytype[jdtype]
raise ValueError, "Java dataset type unknown"
