gistfile1.txt

=============================================================== FAILURES ================================================================
________________________________________________________ test_compute_npred_cube ________________________________________________________

    @pytest.mark.skipif('not HAS_SCIPY')
    def test_compute_npred_cube():
        # A quickly implemented check - should be improved
        filenames = FermiGalacticCenter.filenames()
        spectral_cube = GammaSpectralCube.read(filenames['diffuse_model'])
        exposure_cube = GammaSpectralCube.read(filenames['exposure_cube'])
        counts_cube = FermiGalacticCenter.counts()
        energy_bounds = Quantity([10, 30, 100, 500], 'GeV')
        # Reproject spectral cube onto exposure cube
        spectral_cube = spectral_cube.reproject_to(exposure_cube)
        # Compute npred cube
        npred_cube = compute_npred_cube(spectral_cube,
                                        exposure_cube,
                                        energy_bounds)
        expected_sum = counts_cube.data.sum()
        actual_sum = np.nan_to_num(npred_cube.data).sum()
        # Check npredicted is same order of magnitude of true counts
        assert_allclose(expected_sum, actual_sum, rtol=1)
        # PSF convolve the npred cube
        npred_cube_convolved = convolve_npred_cube(npred_cube, max_offset=3,
>                                                  resolution=0.1)
E       TypeError: convolve_npred_cube() takes at least 3 arguments (3 given)

gammapy/spectral_cube/tests/test_core.py:164: TypeError
_______________________________________________________ test_convolve_npred_cube ________________________________________________________

    @pytest.mark.skipif('not HAS_SCIPY')
    def test_convolve_npred_cube():
        filenames = FermiGalacticCenter.filenames()
        spectral_cube = GammaSpectralCube.read(filenames['diffuse_model'])
        exposure_cube = GammaSpectralCube.read(filenames['exposure_cube'])
        energy_bounds = Quantity([10, 30, 100, 500], 'GeV')
        # Reproject spectral cube onto exposure cube
        spectral_cube = spectral_cube.reproject_to(exposure_cube)
        # Compute npred cube
        npred_cube = compute_npred_cube(spectral_cube,
                                        exposure_cube,
                                        energy_bounds)
        # PSF convolve the npred cube
        npred_cube_convolved = convolve_npred_cube(npred_cube, max_offset=5,
>                                                  resolution=1)
E       TypeError: convolve_npred_cube() takes at least 3 arguments (3 given)

gammapy/spectral_cube/tests/test_core.py:189: TypeError
================================ 2 failed, 167 passed, 9 skipped, 20 xfailed, 4 xpassed in 27.94 seconds ================================