def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def set_categories(self, categories: List[str]):
        """Sets the categories for Confusion Matrix.

        Args:
          categories: List of strings specifying the categories.
        """
        self._categories = []
        annotation_specs = []
        for category in categories:
            annotation_spec = {'displayName': category}
            self._categories.append(category)
            annotation_specs.append(annotation_spec)

        self._values['annotationSpecs'] = annotation_specs
        self._matrix = [[0
                         for i in range(len(self._categories))]
                        for j in range(len(self._categories))]
        self._values['row'] = self._matrix