def test_set_var(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[:, subset_func(adata.var_names)]

    new_var = pd.DataFrame(
        dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
        index=subset.var_names,
    )

    assert subset.is_view
    subset.var = new_var
    assert not subset.is_view
    assert np.all(subset.var == new_var)

    assert joblib.hash(adata) == init_hash
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)