def autoIndentBlock(self, block, char = '\n'):
        """Indent block after Enter pressed or trigger character typed
        """
        cursor = QTextCursor(block)
        currentText = block.text()
        spaceAtStartLen = len(currentText) - len(currentText.lstrip())
        currentIndent = currentText[:spaceAtStartLen]
        indent = self._smartIndenter.computeIndent(block, char)
        if indent is not None and indent != currentIndent:
            self._qpart.replaceText(block.position(), spaceAtStartLen, indent)
def testWrapperWeights(self, wrapper):
    """Tests that wrapper weights contain wrapped cells weights."""
    base_cell = layers.SimpleRNNCell(1, name="basic_rnn_cell")
    rnn_cell = wrapper(base_cell)
    rnn_layer = layers.RNN(rnn_cell)
    inputs = ops.convert_to_tensor_v2_with_dispatch([[[1]]],
                                                    dtype=dtypes.float32)
    rnn_layer(inputs)

    wrapper_name = generic_utils.to_snake_case(wrapper.__name__)
    expected_weights = ["rnn/" + wrapper_name + "/" + var for var in
                        ("kernel:0", "recurrent_kernel:0", "bias:0")]
    self.assertLen(rnn_cell.weights, 3)
    self.assertCountEqual([v.name for v in rnn_cell.weights], expected_weights)
    self.assertCountEqual([v.name for v in rnn_cell.trainable_variables],
                          expected_weights)
    self.assertCountEqual([v.name for v in rnn_cell.non_trainable_variables],
                          [])
    self.assertCountEqual([v.name for v in rnn_cell.cell.weights],
                          expected_weights)