def test_model_overrides(complete_continuous):
# case #1: assure global overrides applied
data = deepcopy(complete_continuous)
data["bmr"] = {"type": "Std. Dev.", "value": 0.123}
session = Job.build_session(data, data["datasets"][0])
for model in session.models:
assert model.overrides["bmr"] == 0.123
# case #2: assure model overrides are applied after global overrides
data = deepcopy(complete_continuous)
data["bmr"] = {"type": "Std. Dev.", "value": 0.123}
data["models"] = [{"name": "Linear", "settings": {"bmr": 0.456}}, {"name": "Linear"}]
session = Job.build_session(data, data["datasets"][0])
assert session.models[0].overrides["bmr"] == 0.456
assert session.models[1].overrides["bmr"] == 0.123
def test_model_overrides(complete_continuous):
# case #1: assure global overrides applied
data = deepcopy(complete_continuous)
data['bmr'] = {'type': 'Std. Dev.', 'value': 0.123}
session = Job.build_session(data, data['datasets'][0])
for model in session.models:
assert model.overrides['bmr'] == 0.123
# case #2: assure model overrides are applied after global overrides
data = deepcopy(complete_continuous)
data['bmr'] = {'type': 'Std. Dev.', 'value': 0.123}
data['models'] = [{
'name': 'Linear',
'settings': {
'bmr': 0.456
}
}, {
'name': 'Linear'
}]
session = Job.build_session(data, data['datasets'][0])
assert session.models[0].overrides['bmr'] == 0.456
assert session.models[1].overrides['bmr'] == 0.123