Bug fix and add additional tests for Dataset and DataModule (#517)

This commit is contained in:
Filippo Olivo
2025-03-25 12:18:27 +01:00
committed by GitHub
parent 03ef90c358
commit ef29f0a95d
4 changed files with 143 additions and 16 deletions

View File

@@ -31,7 +31,7 @@ conditions_dict_single = {
max_conditions_lengths_single = {"data": 100}
# Problem with multiple conditions
conditions_dict_single_multi = {
conditions_dict_multi = {
"data_1": {
"input": input_,
"target": output_,
@@ -49,7 +49,7 @@ max_conditions_lengths_multi = {"data_1": 100, "data_2": 50}
"conditions_dict, max_conditions_lengths",
[
(conditions_dict_single, max_conditions_lengths_single),
(conditions_dict_single_multi, max_conditions_lengths_multi),
(conditions_dict_multi, max_conditions_lengths_multi),
],
)
def test_constructor(conditions_dict, max_conditions_lengths):
@@ -66,7 +66,7 @@ def test_constructor(conditions_dict, max_conditions_lengths):
"conditions_dict, max_conditions_lengths",
[
(conditions_dict_single, max_conditions_lengths_single),
(conditions_dict_single_multi, max_conditions_lengths_multi),
(conditions_dict_multi, max_conditions_lengths_multi),
],
)
def test_getitem(conditions_dict, max_conditions_lengths):
@@ -110,3 +110,29 @@ def test_getitem(conditions_dict, max_conditions_lengths):
]
)
assert all([d["input"].edge_attr.shape[0] == 1200 for d in data.values()])
def test_input_single_condition():
dataset = PinaDatasetFactory(
conditions_dict_single,
max_conditions_lengths=max_conditions_lengths_single,
automatic_batching=True,
)
input_ = dataset.input
assert isinstance(input_, dict)
assert isinstance(input_["data"], list)
assert all([isinstance(d, Data) for d in input_["data"]])
def test_input_multi_condition():
dataset = PinaDatasetFactory(
conditions_dict_multi,
max_conditions_lengths=max_conditions_lengths_multi,
automatic_batching=True,
)
input_ = dataset.input
assert isinstance(input_, dict)
assert isinstance(input_["data_1"], list)
assert all([isinstance(d, Data) for d in input_["data_1"]])
assert isinstance(input_["data_2"], list)
assert all([isinstance(d, Data) for d in input_["data_2"]])