gistfile1.txt

================================================================================ FAILURES ================================================================================
______________________________________________________________________________ test_complex ______________________________________________________________________________

xml = OrderedDict([('@type', 'PowerLaw'), ('parameter', [OrderedDict([('@free', '1'), ('@max', '1000.0'), ('@min', '0.001'),...[('@free', '0'), ('@max', '2000.0'), ('@min', '30.0'), ('@name', 'Scale'), ('@scale', '1.0'), ('@value', '100.0')])])])
which = 'spectral'

    def xml_to_model(xml, which):
        """
        Convert XML to `~gammapy.modeling.models.SpatialModel` or
        `~gammapy.modeling.models.SpectralModel`
        """
        type_ = xml["@type"]
    
        try:
>           model = model_registry[which][type_]["model"]
E           KeyError: 'PowerLaw'

gammapy/modeling/serialize_xml.py:186: KeyError

During handling of the above exception, another exception occurred:

    @requires_data()
    def test_complex():
        filename = "$GAMMAPY_DATA/tests/models/examples.xml"
>       sourcelib = SkyModels.read(filename)

gammapy/modeling/tests/test_serialize_xml.py:50: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
gammapy/modeling/models/cube.py:108: in read
    return cls.from_xml(xml)
gammapy/modeling/models/cube.py:90: in from_xml
    return xml_to_sky_models(xml)
gammapy/modeling/serialize_xml.py:156: in xml_to_sky_models
    skymodel = xml_to_skymodel(xml_skymodel)
gammapy/modeling/serialize_xml.py:174: in xml_to_skymodel
    spectral = xml_to_model(xml["spectrum"], "spectral")
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

xml = OrderedDict([('@type', 'PowerLaw'), ('parameter', [OrderedDict([('@free', '1'), ('@max', '1000.0'), ('@min', '0.001'),...[('@free', '0'), ('@max', '2000.0'), ('@min', '30.0'), ('@name', 'Scale'), ('@scale', '1.0'), ('@value', '100.0')])])])
which = 'spectral'

    def xml_to_model(xml, which):
        """
        Convert XML to `~gammapy.modeling.models.SpatialModel` or
        `~gammapy.modeling.models.SpectralModel`
        """
        type_ = xml["@type"]
    
        try:
            model = model_registry[which][type_]["model"]
        except KeyError:
>           raise UnknownModelError(f"{which} model {type_!r} not registered")
E           gammapy.modeling.serialize_xml.UnknownModelError: spectral model 'PowerLaw' not registered

gammapy/modeling/serialize_xml.py:188: UnknownModelError
__________________________________________________________________________ test_datasets_to_io ___________________________________________________________________________

tmpdir = local('/private/var/folders/t_/_mywtcj146lbk2c99bnxw7z40000gp/T/pytest-of-deil/pytest-86/test_datasets_to_io0')

    @requires_data()
    def test_datasets_to_io(tmpdir):
        filedata = "$GAMMAPY_DATA/tests/models/gc_example_datasets.yaml"
        filemodel = "$GAMMAPY_DATA/tests/models/gc_example_models.yaml"
    
>       datasets = Datasets.from_yaml(filedata, filemodel)

gammapy/modeling/tests/test_serialize_yaml.py:106: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
gammapy/modeling/datasets.py:171: in from_yaml
    constructor = dict_to_datasets(data_list, components)
gammapy/modeling/serialize.py:141: in __init__
    self.models = dict_to_models(components)
gammapy/modeling/serialize.py:74: in dict_to_models
    model = SkyModel.from_dict(component)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

cls = <class 'gammapy.modeling.models.cube.SkyModel'>
data = {'name': 'gc', 'spatial': {'frame': 'galactic', 'parameters': [{'frozen': False, 'name': 'lon_0', 'unit': 'deg', 'valu...': False, 'name': 'lambda_', 'unit': 'TeV-1', 'value': 0.1}], 'type': 'ExponentialCutoffPowerLaw'}, 'type': 'SkyModel'}

    @classmethod
    def from_dict(cls, data):
        """Create SkyModel from dict"""
        from gammapy.modeling.models import SPATIAL_MODELS, SPECTRAL_MODELS
    
>       model_class = SPECTRAL_MODELS[data["spectral"]["type"]]
E       KeyError: 'ExponentialCutoffPowerLaw'

gammapy/modeling/models/cube.py:317: KeyError
===================================================== 2 failed, 1429 passed, 2 skipped, 5 xfailed in 174.13 seconds ======================================================
make: *** [test] Error 1