def writeIntoDestination( self, destination, value, roi ):
sl = roiToSlice(roi.start, roi.stop)
try:
destination[:] = value[sl]
except TypeError:
warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination = [value]
return destination
def writeIntoDestination( self, destination, value, roi ):
if destination is not None:
if not isinstance(destination, list):
assert(roi.dim == destination.ndim), "%r ndim=%r, shape=%r" % (roi.toSlice(), destination.ndim, destination.shape)
sl = roiToSlice(roi.start, roi.stop)
try:
destination[:] = value[sl]
except TypeError:
warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination[:] = value
else:
sl = roiToSlice(roi.start, roi.stop)
try:
destination = value[sl]
except:
warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination = [value]
if type(destination) == numpy.ndarray and destination.shape == ():
# This is necessary because numpy types will not be caught in the except statement above.
# They don't throw when used with __getitem__
# e.g. try this:
# x = np.int64(5)
# assert type(x[()]) == np.ndarray and x[()].shape == ()
warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination = [value]
return destination
def isCompatible(self, value):
warn_deprecated("FIXME here")
return True
