code: def test_init_none_nonlinearity_bias(self, DummyInputLayer):
      from lasagne.layers.conv import Conv1DLayer
  
      input_layer = DummyInputLayer((1, 2, 3))
      layer = Conv1DLayer(
          input_layer,
          num_filters=16,
          filter_size=(3,),
          nonlinearity=None,
          b=None,
      )
      assert layer.nonlinearity == lasagne.nonlinearities.identity
      assert layer.b is None
  
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 2 for calling the TestConv1DLayer obj's underlying member method code with example usage: obj.test_init_none_nonlinearity_bias(DummyInputLayer) without return types