1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
|
from typing import Callable, List, Union
from torch_geometric.data import Data, HeteroData
from torch_geometric.transforms import BaseTransform
class Compose(BaseTransform):
r"""Composes several transforms together.
Args:
transforms (List[Callable]): List of transforms to compose.
"""
def __init__(self, transforms: List[Callable]):
self.transforms = transforms
def forward(
self,
data: Union[Data, HeteroData],
) -> Union[Data, HeteroData]:
for transform in self.transforms:
if isinstance(data, (list, tuple)):
data = [transform(d) for d in data]
else:
data = transform(data)
return data
def __repr__(self) -> str:
args = [f' {transform}' for transform in self.transforms]
return '{}([\n{}\n])'.format(self.__class__.__name__, ',\n'.join(args))
class ComposeFilters:
r"""Composes several filters together.
Args:
filters (List[Callable]): List of filters to compose.
"""
def __init__(self, filters: List[Callable]):
self.filters = filters
def __call__(
self,
data: Union[Data, HeteroData],
) -> bool:
for filter_fn in self.filters:
if isinstance(data, (list, tuple)):
if not all([filter_fn(d) for d in data]):
return False
elif not filter_fn(data):
return False
return True
def __repr__(self) -> str:
args = [f' {filter_fn}' for filter_fn in self.filters]
return '{}([\n{}\n])'.format(self.__class__.__name__, ',\n'.join(args))
|
