def test_view_mixin_copies_data(adata, array_type: type, attr):
    N = 100
    adata = ad.AnnData(
        obs=pd.DataFrame(index=np.arange(N)), var=pd.DataFrame(index=np.arange(N))
    )

    X = array_type(sparse.eye(N, N).multiply(np.arange(1, N + 1)))
    if attr == "X":
        adata.X = X
    else:
        getattr(adata, attr)["arr"] = X

    view = adata[:50]

    if attr == "X":
        arr_view = view.X
    else:
        arr_view = getattr(view, attr)["arr"]

    arr_view_copy = arr_view.copy()

    if sparse.issparse(X):
        assert not np.shares_memory(arr_view.indices, arr_view_copy.indices)
        assert not np.shares_memory(arr_view.indptr, arr_view_copy.indptr)
        assert not np.shares_memory(arr_view.data, arr_view_copy.data)

        arr_view_copy.data[0] = -5
        assert not np.array_equal(arr_view_copy.data, arr_view.data)
    else:
        assert not np.shares_memory(arr_view, arr_view_copy)

        arr_view_copy[0, 0] = -5
        assert not np.array_equal(arr_view_copy, arr_view)
def create_schema(self, check_if_exists=False, sync_schema=True,
                      verbosity=1):
        """
        Creates the schema 'schema_name' for this tenant. Optionally checks if
        the schema already exists before creating it. Returns true if the
        schema was created, false otherwise.
        """

        # safety check
        connection = connections[get_tenant_database_alias()]
        _check_schema_name(self.schema_name)
        cursor = connection.cursor()

        if check_if_exists and schema_exists(self.schema_name):
            return False

        fake_migrations = get_creation_fakes_migrations()

        if sync_schema:
            if fake_migrations:
                # copy tables and data from provided model schema
                base_schema = get_tenant_base_schema()
                clone_schema = CloneSchema()
                clone_schema.clone_schema(base_schema, self.schema_name)

                call_command('migrate_schemas',
                             tenant=True,
                             fake=True,
                             schema_name=self.schema_name,
                             interactive=False,
                             verbosity=verbosity)
            else:
                # create the schema
                cursor.execute('CREATE SCHEMA "%s"' % self.schema_name)
                call_command('migrate_schemas',
                             tenant=True,
                             schema_name=self.schema_name,
                             interactive=False,
                             verbosity=verbosity)

        connection.set_schema_to_public()