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adapted test
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caimira/tests/models/test_fitting_algorithm.py

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@@ -7,7 +7,7 @@
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@pytest.mark.parametrize(
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"activity_type, ventilation_active, air_exch, flow_rate_lsp", [
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['Seated', [8, 12, 13, 17], [0.25, 2.45, 0.25], [2.604166667, 51.04166667, 2.604166667]],
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['Seated', [8, 12, 13, 17], [0.25, 2.45, 0.25], [2.604166667, 25.520833335, 2.604166667]],
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['Standing', [8, 10, 11, 12, 17], [1.25, 3.25, 1.45, 0.25], [13.02083333333, 33.8541666667, 15.1041666667, 2.6041666667]],
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['Light activity', [8, 12, 17], [1.25, 0.25], [13.02083333333, 2.6041666667]],
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['Moderate activity', [8, 13, 15, 16, 17], [2.25, 0.25, 3.45, 0.25], [23.4375, 2.6041666667, 35.9375, 2.6041666667]],
@@ -40,6 +40,7 @@ def test_fitting_algorithm(data_registry, activity_type, ventilation_active, air
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# Generate CO2DataModel
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data_model = models.CO2DataModel(
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data_registry=data_registry,
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room_capacity=2,
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room_volume=75,
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occupancy=models.IntPiecewiseConstant(transition_times=tuple(
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[8, 12, 13, 17]), values=tuple([2, 1, 2])),

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