Package: src:lasagne Version: 0.1+git20200419.5d3c63c+ds-1 Severity: serious Tags: sid bullseye ftbfs User: debian-pyt...@lists.debian.org Usertags: python3.9
lasagne ftbfs with python3.9; to reproduce, you can use the repositories found at: deb [trusted=yes] http://people.debian.org/~doko/tmp/python3.9 ./ deb [trusted=yes] http://people.debian.org/~ginggs/python3.9-repo ./ see https://people.debian.org/~ginggs/python3.9-default/lasagne_0.1+git20200419.5d3c63c+ds-1build1_amd64-2020-10-24T09:30:12Z.build [...] ==================================== ERRORS ==================================== _ ERROR at setup of TestGetOutput_MergeLayer.test_get_output_without_arguments _ self = <test_helper.TestGetOutput_MergeLayer object at 0x7fa147c7f310> @pytest.fixture def layers(self): from lasagne.layers.base import Layer, MergeLayer from lasagne.layers.input import InputLayer # create two mocks of the same attributes as an InputLayer instance l1 = [Mock(InputLayer((None,)), output_shape=(None,), get_output_kwargs=[]), Mock(InputLayer((None,)), output_shape=(None,), get_output_kwargs=[])] # create two mocks of the same attributes as a Layer instance l2 = [Mock(Layer(l1[0]), output_shape=(None,), get_output_kwargs=[]), Mock(Layer(l1[1]), output_shape=(None,), get_output_kwargs=[])] # link them to the InputLayer mocks l2[0].input_layer = l1[0] l2[1].input_layer = l1[1] # create a mock that has the same attributes as a MergeLayer > l3 = Mock(MergeLayer(l2), get_output_kwargs=['kwarg']) lasagne/tests/layers/test_helper.py:306: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/mock/mock.py:1082: in __init__ _safe_super(CallableMixin, self).__init__( /usr/lib/python3/dist-packages/mock/mock.py:439: in __init__ self._mock_add_spec(spec, spec_set, _spec_as_instance, _eat_self) /usr/lib/python3/dist-packages/mock/mock.py:494: in _mock_add_spec if iscoroutinefunction(getattr(spec, attr, None)): lasagne/layers/base.py:269: in output_shape shape = self.get_output_shape_for(self.input_shapes) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <lasagne.layers.base.MergeLayer object at 0x7fa147c7fa90> input_shapes = [(None,), (None,)] def get_output_shape_for(self, input_shapes): """ Computes the output shape of this layer, given a list of input shapes. Parameters ---------- input_shape : list of tuple A list of tuples, with each tuple representing the shape of one of the inputs (in the correct order). These tuples should have as many elements as there are input dimensions, and the elements should be integers or `None`. Returns ------- tuple A tuple representing the shape of the output of this layer. The tuple has as many elements as there are output dimensions, and the elements are all either integers or `None`. Notes ----- This method must be overridden when implementing a new :class:`Layer` class with multiple inputs. By default it raises `NotImplementedError`. """ > raise NotImplementedError E NotImplementedError -- debian-science-maintainers mailing list debian-science-maintainers@alioth-lists.debian.net https://alioth-lists.debian.net/cgi-bin/mailman/listinfo/debian-science-maintainers
