[pre-commit.ci] pre-commit autoupdate

[pre-commit-ci]

updates:

• github.com/pycqa/isort: 9.0.0a3 → 9.0.0b1

[codecov]

❌ 2 Tests Failed:

Tests completed	Failed	Passed	Skipped
483	2	481	34

View the full list of 2 ❄️ flaky test(s)

test/test_databases/test_cpsc2020.py::TestCPSC2020::test_locate_premature_beats

Flake rate in main: 100.00% (Passed 0 times, Failed 6 times)

Stack Traces | 0.003s run time

self = <test_cpsc2020.TestCPSC2020 object at 0x7f1d1216feb0>

    def test_locate_premature_beats(self):
>       premature_beat_intervals = reader.locate_premature_beats(0)

test/test_databases/test_cpsc2020.py:78: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
.../databases/cpsc_databases/cpsc2020.py:577: in locate_premature_beats
    premature_intervals = get_optimal_covering(
torch_ecg/utils/utils_interval.py:584: in get_optimal_covering
    if (tot_start > min([item if isinstance(item, (int, float)) else item[0] for item in to_cover])) or (
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

.0 = <iterator object at 0x7f1c9ad3a080>

>   if (tot_start > min([item if isinstance(item, (int, float)) else item[0] for item in to_cover])) or (
        tot_end < max([item if isinstance(item, (int, float)) else item[-1] for item in to_cover])
    ):
E   IndexError: invalid index to scalar variable.

torch_ecg/utils/utils_interval.py:584: IndexError

test/test_models/test_loss.py::test_setup_criterion

Flake rate in main: 60.00% (Passed 2 times, Failed 3 times)

Stack Traces | 0.003s run time

def test_setup_criterion():
        criterion = setup_criterion("WeightedBCELoss", pos_weight=torch.ones((1, 2)))
        criterion = setup_criterion("BCEWithLogitsWithClassWeightLoss", class_weight=class_weight)
        criterion = setup_criterion("FocalLoss", class_weight=class_weight)
        criterion = setup_criterion("AsymmetricLoss")
        criterion = setup_criterion("MaskedBCEWithLogitsLoss")
    
        for name in torch.nn.modules.loss.__all__:
>           criterion = setup_criterion(name)

test/test_models/test_loss.py:152: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

name = 'LinearCrossEntropyLoss', kwargs = {}

    def setup_criterion(name: str, **kwargs: Any) -> nn.Module:
        """Setup the criterion (loss function).
    
        Parameters
        ----------
        name : str
            The name of the criterion.
        **kwargs : Any
            The keyword arguments for the criterion.
    
        Returns
        -------
        nn.Module
            The criterion (loss function).
    
        """
        if name in LOSSES:
            return LOSSES.build(name, **kwargs)
        if name.startswith("nn."):
            criterion = eval(name)(**kwargs)
        elif name in nn.modules.loss.__all__:
>           criterion = getattr(nn, name)(**kwargs)
E           TypeError: LinearCrossEntropyLoss.__init__() missing 2 required positional arguments: 'in_features' and 'num_classes'

torch_ecg/models/loss.py:660: TypeError

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