a0cbf1c44a
* Reimplement conditions * Refactor datasets and implement LabelBatch --------- Co-authored-by: Dario Coscia <dariocos99@gmail.com>
85 lines
2.9 KiB
Python
85 lines
2.9 KiB
Python
"""
|
|
Module that defines the ConditionInterface class.
|
|
"""
|
|
|
|
from abc import ABCMeta
|
|
from torch_geometric.data import Data
|
|
from ..label_tensor import LabelTensor
|
|
from ..graph import Graph
|
|
|
|
|
|
class ConditionInterface(metaclass=ABCMeta):
|
|
"""
|
|
Abstract class which defines a common interface for all the conditions.
|
|
"""
|
|
|
|
def __init__(self):
|
|
self._problem = None
|
|
|
|
@property
|
|
def problem(self):
|
|
"""
|
|
Return the problem to which the condition is associated.
|
|
|
|
:return: Problem to which the condition is associated
|
|
:rtype: pina.problem.AbstractProblem
|
|
"""
|
|
return self._problem
|
|
|
|
@problem.setter
|
|
def problem(self, value):
|
|
self._problem = value
|
|
|
|
@staticmethod
|
|
def _check_graph_list_consistency(data_list):
|
|
|
|
# If the data is a Graph or Data object, return (do not need to check
|
|
# anything)
|
|
if isinstance(data_list, (Graph, Data)):
|
|
return
|
|
|
|
# check all elements in the list are of the same type
|
|
if not all(isinstance(i, (Graph, Data)) for i in data_list):
|
|
raise ValueError(
|
|
"Invalid input types. "
|
|
"Please provide either Data or Graph objects."
|
|
)
|
|
data = data_list[0]
|
|
# Store the keys of the first element in the list
|
|
keys = sorted(list(data.keys()))
|
|
|
|
# Store the type of each tensor inside first element Data/Graph object
|
|
data_types = {name: tensor.__class__ for name, tensor in data.items()}
|
|
|
|
# Store the labels of each LabelTensor inside first element Data/Graph
|
|
# object
|
|
labels = {
|
|
name: tensor.labels
|
|
for name, tensor in data.items()
|
|
if isinstance(tensor, LabelTensor)
|
|
}
|
|
|
|
# Iterate over the list of Data/Graph objects
|
|
for data in data_list[1:]:
|
|
# Check if the keys of the current element are the same as the first
|
|
# element
|
|
if sorted(list(data.keys())) != keys:
|
|
raise ValueError(
|
|
"All elements in the list must have the same keys."
|
|
)
|
|
for name, tensor in data.items():
|
|
# Check if the type of each tensor inside the current element
|
|
# is the same as the first element
|
|
if tensor.__class__ is not data_types[name]:
|
|
raise ValueError(
|
|
f"Data {name} must be a {data_types[name]}, got "
|
|
f"{tensor.__class__}"
|
|
)
|
|
# If the tensor is a LabelTensor, check if the labels are the
|
|
# same as the first element
|
|
if isinstance(tensor, LabelTensor):
|
|
if tensor.labels != labels[name]:
|
|
raise ValueError(
|
|
"LabelTensor must have the same labels"
|
|
)
|