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causy-dev / causy

Causal discovery made easy.
https://causy-dev.github.io/causy/
MIT License
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Test that fails in current setup #33

Closed this-is-sofia closed 6 months ago

this-is-sofia commented 6 months ago

check why. 

 def test_second_toy_model_example(self):
        rdnv = self.seeded_random.normalvariate
        model = IIDSampleGenerator(
            edges=[
                SampleEdge(NodeReference("A"), NodeReference("C"), 1),
                SampleEdge(NodeReference("B"), NodeReference("C"), 2),
                SampleEdge(NodeReference("A"), NodeReference("D"), 3),
                SampleEdge(NodeReference("B"), NodeReference("D"), 1),
                SampleEdge(NodeReference("C"), NodeReference("D"), 1),
                SampleEdge(NodeReference("B"), NodeReference("E"), 4),
                SampleEdge(NodeReference("E"), NodeReference("F"), 5),
                SampleEdge(NodeReference("B"), NodeReference("F"), 6),
                SampleEdge(NodeReference("C"), NodeReference("F"), 1),
                SampleEdge(NodeReference("D"), NodeReference("F"), 1),
            ],
            random=lambda: rdnv(0, 1),
        )

        sample_size = 100000
        test_data, sample_graph = model.generate(sample_size)

        tst = PCStable()
        tst.create_graph_from_data(test_data)
        tst.create_all_possible_edges()
        tst.execute_pipeline_steps()