Deleted indivual usps test

tests/test_dataloaders.py

@@ -38,40 +38,3 @@ def test_load_data(data_name, expected):
     )  # Should probably restrict this to only int or one-hot encoded tensor or array for consistency.
 
 
-def test_uspsdataset0_6():
-    from tempfile import TemporaryDirectory
-
-    import h5py
-    import numpy as np
-    from torchvision import transforms
-
-    # Create a temporary directory (deleted after the test)
-    with TemporaryDirectory() as tempdir:
-        tempdir = Path(tempdir)
-
-        tf = tempdir / "usps.h5"
-
-        # Create a h5 file
-        with h5py.File(tf, "w") as f:
-            targets = np.array([6, 5, 4, 3, 2, 1, 0, 0, 0, 0])
-            indices = np.arange(len(targets))
-            # Populate the file with data
-            f["train/data"] = np.random.rand(10, 16 * 16)
-            f["train/target"] = targets
-
-        trans = transforms.Compose(
-            [
-                transforms.Resize((16, 16)),
-                transforms.ToTensor(),
-            ]
-        )
-        dataset = USPSDataset0_6(
-            data_path=tempdir,
-            sample_ids=indices,
-            train=True,
-            transform=trans,
-        )
-        assert len(dataset) == 10
-        data, target = dataset[0]
-        assert data.shape == (1, 16, 16)
-        assert target == 6