gistfile1.txt

=================================================================================== FAILURES ===================================================================================
___________________________________________________________________________ test_EffectiveAreaTable ____________________________________________________________________________

    @pytest.mark.skipif('not HAS_SCIPY')
    def test_EffectiveAreaTable():
        filename = get_pkg_data_filename('data/arf_info.txt')
        info_str = open(filename, 'r').read()
        arf = EffectiveAreaTable.from_fits(arf_fits_table())
>       assert arf.info() == info_str

gammapy/irf/tests/test_effective_area.py:40: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <gammapy.irf.effective_area.EffectiveAreaTable object at 0x117518f98>, energies = <Quantity [  1., 10.] TeV>

    def info(self, energies=Quantity([1, 10], 'TeV')):
        """
            Print some ARF info.
    
            Parameters
            ----------
            energies : `~astropy.units.Quantity`
                Energies for which to print effective areas.
            """
>       from psf_table import _quantity_stats_str
E       ImportError: No module named 'psf_table'

gammapy/irf/effective_area.py:277: ImportError
------------------------------------------------------------------------------- Captured stderr --------------------------------------------------------------------------------
WARNING: No safe energy thresholds found. Setting to default [gammapy.irf.effective_area]
WARNING:  No safe energy thresholds found. Setting to default
______________________________________________________________________ test_EnergyDependentMultiGaussPSF _______________________________________________________________________

    @pytest.mark.skipif('not HAS_SCIPY')
    def test_EnergyDependentMultiGaussPSF():
        from gammapy.datasets import psf_fits_table
        filename = get_pkg_data_filename('data/psf_info.txt')
        info_str = open(filename, 'r').read()
        psf = EnergyDependentMultiGaussPSF.from_fits(psf_fits_table())
>       assert psf.info() == info_str

gammapy/irf/tests/test_psf_analytical.py:20: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <gammapy.irf.psf_analytical.EnergyDependentMultiGaussPSF object at 0x117600278>, fractions = [0.68, 0.95], energies = <Quantity [  1., 10.] TeV>
thetas = <Quantity [ 0.] deg>

    def info(self, fractions=[0.68, 0.95], energies=Quantity([1., 10.], 'TeV'),
             thetas=Quantity([0.], 'deg')):
        """
            Print PSF summary info.
    
            The containment radius for given fraction, energies and thetas is
            computed and printed on the command line.
    
            Parameters
            ----------
            fractions : list
                Containment fraction to compute containment radius for.
            energies : `~astropy.units.Quantity`
                Energies to compute containment radius for.
            thetas : `~astropy.units.Quantity`
                Thetas to compute containment radius for.
    
            Returns
            -------
            ss : string
                Formatted string containing the summary info.
            """
>       from psf_table import _quantity_stats_str
E       ImportError: No module named 'psf_table'

gammapy/irf/psf_analytical.py:322: ImportError
=================================================== 2 failed, 155 passed, 10 skipped, 20 xfailed, 3 xpassed in 23.18 seconds ===================================================