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 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 we do not support masked arrays, ensure that we are not being passed one.
assert self.slot.allow_mask or (not self.slot.meta.has_mask), \
"A masked array was provided as a destination. However," \
" the slot, \"%s\", of operator, " "\"%s\", does not support masked arrays." \
" If you believe this message to be incorrect, " \
"please pass the keyword argument `allow_mask=True` to the slot constructor." \
% (self.slot.operator.name, self.slot.name)
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:
self.copy_data(destination, value[sl])
except TypeError:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
self.copy_data(destination, value)
else:
sl = roiToSlice(roi.start, roi.stop)
try:
destination = value[sl]
except:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination = [value]
if isinstance(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 == ()
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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 == ()
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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:
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#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 == ()
# FIXME: This warning used to be triggered by a corner case that could be encountered by "value slots".
# The behavior here isn't truly deprecated. But we need a better solution for lazyflow 2.0.
# See ilastik/ilastik#704
#warn_deprecated("old style slot encountered: non array-like value set -> change SlotType from ArrayLike to proper SlotType")
destination = [value]
return destination
def toSlice(self, hardBind=False):
return roiToSlice(self.start, self.stop, hardBind)