folivo/PINA
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Codacy correction

Browse Source
This commit is contained in:
FilippoOlivo
2024-10-31 09:50:19 +01:00
committed by Nicola Demo
parent ea3d1924e7
commit dd43c8304c
23 changed files with 246 additions and 214 deletions
Download Patch File Download Diff File Expand all files Collapse all files

31
pina/data/base_dataset.py
View File

@@ -59,9 +59,11 @@ class BaseDataset(Dataset):
keys = list(data.keys())
if set(self.__slots__) == set(keys):
self._populate_init_list(data)
idx = [key for key, val in
self.problem.collector.conditions_name.items() if
val == name]
idx = [
key for key, val in
self.problem.collector.conditions_name.items()
if val == name
]
self.conditions_idx.append(idx)
self.initialize()
@@ -89,15 +91,16 @@ class BaseDataset(Dataset):
if isinstance(slot_data, (LabelTensor, torch.Tensor)):
dims = len(slot_data.size())
slot_data = slot_data.permute(
[batching_dim] + [dim for dim in range(dims) if
dim != batching_dim])
[batching_dim] +
[dim for dim in range(dims) if dim != batching_dim])
if current_cond_num_el is None:
current_cond_num_el = len(slot_data)
elif current_cond_num_el != len(slot_data):
raise ValueError('Different dimension in same condition')
current_list = getattr(self, slot)
current_list += [slot_data] if not (
isinstance(slot_data, list)) else slot_data
current_list += [
slot_data
] if not (isinstance(slot_data, list)) else slot_data
self.num_el_per_condition.append(current_cond_num_el)
def initialize(self):
@@ -108,14 +111,12 @@ class BaseDataset(Dataset):
logging.debug(f'Initialize dataset {self.__class__.__name__}')
if self.num_el_per_condition:
self.condition_indices = torch.cat(
[
torch.tensor([i] * self.num_el_per_condition[i],
dtype=torch.uint8)
for i in range(len(self.num_el_per_condition))
],
dim=0
)
self.condition_indices = torch.cat([
torch.tensor([i] * self.num_el_per_condition[i],
dtype=torch.uint8)
for i in range(len(self.num_el_per_condition))
],
dim=0)
for slot in self.__slots__:
current_attribute = getattr(self, slot)
if all(isinstance(a, LabelTensor) for a in current_attribute):