def size(self, size):
if not positive_real_valued(size):
raise ValueError('argument "size" must be a positive int')
else:
self.__size = int(size)
self.dvh = DVH(self.size)
# default to uniformly weighted voxels
self.voxel_weights = np.ones(self.size)
def size(self, size):
if not positive_real_valued(size):
raise ValueError('argument "size" must be a positive int')
else:
self.__size = int(size)
self.dvh = DVH(self.size)
# default to uniformly weighted voxels
self.voxel_weights = ones(self.size)
def w_over(self): """ Overdose weight for structure's optimization objective. Getter returns weight normalized by structure size. Setter sets raw weight. Raises: TypeError: If ``w_over`` not :obj:`int` or :obj:`float`. ValueError: If ``w_over`` negative. """ if not positive_real_valued(self.size): return nan if isinstance(self.__w_over, (float, int)): return self.__w_over / float(self.size) else: return None
def plannable(self):
"""
True if structure's attached data is sufficient for optimization.
Minimum requirements:
- Structure size determined, and
- Dose matrix assigned, *or*
- Structure collapsable and mean dose matrix assigned.
"""
size_determined = positive_real_valued(self.size)
full_mat_usable = sparse_or_dense(self.A_full)
if full_mat_usable:
full_mat_usable &= self.size == self.A_full.shape[0]
collapsed_mat_usable = bool(
isinstance(self.A_mean, np.ndarray) and self.collapsable)
usable_matrix_loaded = full_mat_usable or collapsed_mat_usable
return size_determined and usable_matrix_loaded
def plannable(self): """ True if structure's attached data is sufficient for optimization. Minimum requirements: - Structure size determined, and - Dose matrix assigned, *or* - Structure collapsable and mean dose matrix assigned. """ size_set = positive_real_valued(self.size) full_mat_usable = sparse_or_dense(self.A_full) if full_mat_usable: full_mat_usable &= self.size == self.A_full.shape[0] collapsed_mat_usable = bool( isinstance(self.A_mean, ndarray) and self.collapsable) usable_matrix_loaded = full_mat_usable or collapsed_mat_usable return size_set and usable_matrix_loaded
