code: def test_invalid_pad(self, DummyInputLayer):
      from lasagne.layers.conv import Conv1DLayer
  
      input_layer = DummyInputLayer((1, 2, 3))
      with pytest.raises(TypeError) as exc:
          layer = Conv1DLayer(
              input_layer,
              num_filters=16,
              filter_size=(3,),
              pad="_nonexistent_mode",
          )
      assert "iterable of int" in exc.value.args[0]
  
      with pytest.raises(NotImplementedError) as exc:
          layer = Conv1DLayer(
              input_layer, num_filters=16, filter_size=(4,), pad="same"
          )
      assert "requires odd filter size" in exc.value.args[0]
  
imports: import numpy
  import pytest
  import importlib
  import theano
  from theano import tensor
  import lasagne
  from lasagne.utils import floatX, as_tuple
label_desc: Use image node_id 3 for calling the TestConv1DLayer obj's underlying member method code with example usage: obj.test_invalid_pad(DummyInputLayer) without return types