gistfile1.txt

___________________________________________________________________________________ test_analysis ___________________________________________________________________________________

config_analysis_data = {'flux': {'fp_binning': {'hi_bnd': 50, 'interp': 'log', 'lo_bnd': 1, 'nbin': 4, ...}}, 'general': {'logging': {'level'...'filters': [{'filter_type': 'ids', 'obs_ids': [23523, 23526], 'value_param': 'Crab', 'variable': 'TARGET_NAME'}]}, ...}

    @requires_dependency("iminuit")
    @requires_data()
    def test_analysis(config_analysis_data):
        analysis = Analysis(config_analysis_data)
        analysis.get_observations()
        analysis.reduce()
>       analysis.fit()

gammapy/scripts/tests/test_analysis.py:152: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
gammapy/scripts/analysis.py:82: in fit
    self._read_model()
gammapy/scripts/analysis.py:215: in _read_model
    self.model = SpectralModel.from_dict(model_pars)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

cls = <class 'gammapy.spectrum.models.SpectralModel'>
data = {'parameters': [{'factor': 2.0, 'frozen': False, 'name': 'index', 'unit': '', ...}, {'factor': 1e-12, 'frozen': False,... 'cm-2 s-1 TeV-1', ...}, {'factor': 1.0, 'frozen': True, 'name': 'reference', 'unit': 'TeV', ...}], 'type': 'PowerLaw'}

    @classmethod
    def from_dict(cls, data):
        params = {
            x["name"].split("@")[0]: x["value"] * u.Unit(x["unit"])
            for x in data["parameters"]
        }
>       init = cls(**params)
E       TypeError: __init__() got an unexpected keyword argument 'index'

gammapy/utils/fitting/model.py:56: TypeError
_________________________________________________________________________________ test_to_from_dict _________________________________________________________________________________

    def test_to_from_dict():
        spectrum = TEST_MODELS[0]
        model = spectrum["model"]
    
        model_dict = model.to_dict()
>       new_model = SpectralModel.from_dict(model_dict)

gammapy/spectrum/tests/test_models.py:355: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

cls = <class 'gammapy.spectrum.models.SpectralModel'>
data = {'parameters': [{'factor': 2.3, 'frozen': False, 'max': nan, 'min': nan, ...}, {'factor': 4.0, 'frozen': False, 'max': nan, 'min': nan, ...}, {'factor': 1.0, 'frozen': True, 'max': nan, 'min': nan, ...}], 'type': 'PowerLaw'}

    @classmethod
    def from_dict(cls, data):
        params = {
            x["name"].split("@")[0]: x["value"] * u.Unit(x["unit"])
            for x in data["parameters"]
        }
>       init = cls(**params)
E       TypeError: __init__() got an unexpected keyword argument 'index'

gammapy/utils/fitting/model.py:56: TypeError

---------- coverage: platform darwin, python 3.7.0-final-0 -----------
Coverage HTML written to dir htmlcov

=========================================================== 2 failed, 1426 passed, 2 skipped, 5 xfailed in 199.31 seconds ===========================================================