Fix shadow observer lifecycle, learning and prediction correctness
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@@ -66,6 +66,7 @@ class WeatherInputs(unittest.TestCase):
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self.assertIsNone(w.normalize("temperature", value, "°C"))
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self.assertIsNone(w.normalize("temperature", 22.0, "km/h"))
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self.assertIsNone(w.normalize("wind", -3, "m/s"))
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self.assertIsNone(w.normalize("temperature", 20, 42))
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self.assertIsNone(w.normalize("clouds", 150, "%"))
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