fix PoissonUncertainties module: needs to return outputs

test passing

Author: ahoermann

src/modacor/modules/base_modules/poisson_uncertainties.py

@@ -46,3 +46,4 @@ def calculate(self, data: DataBundle, **kwargs: Any):
 
         # Add the variance to the data
         data["signal"].variances["Poisson"] = np.clip(signal, 1, None)
+        return {"signal": data["signal"]}

src/modacor/tests/integration/test_pipeline_run.py

@@ -60,4 +60,4 @@ def test_actual_processstep(flat_data):
         for node in pipeline.get_ready():
             node.execute(data=flat_data)
             pipeline.done(node)
-    assert data["signal"].variances["Poisson"].mean().astype(int) == 10
+    assert node.produced_outputs["signal"].variances["Poisson"].mean().astype(int) == 100