def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def _storage(self):
        """
        Return the configured django storage backend.
        """
        config = settings.VERIFY_STUDENT["SOFTWARE_SECURE"]

        # Default to the S3 backend for backward compatibility
        storage_class = config.get("STORAGE_CLASS", "storages.backends.s3boto.S3BotoStorage")
        storage_kwargs = config.get("STORAGE_KWARGS", {})

        # Map old settings to the parameters expected by the storage backend
        if "AWS_ACCESS_KEY" in config:
            storage_kwargs["access_key"] = config["AWS_ACCESS_KEY"]
        if "AWS_SECRET_KEY" in config:
            storage_kwargs["secret_key"] = config["AWS_SECRET_KEY"]
        if "S3_BUCKET" in config:
            storage_kwargs["bucket"] = config["S3_BUCKET"]
            storage_kwargs["querystring_expire"] = self.IMAGE_LINK_DURATION

        return get_storage(storage_class, **storage_kwargs)