Beispiel #1
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    def test_load_and_save_pds(self):
        pds = Powerspectrum()
        pds.freq = np.linspace(0, 10, 15)
        pds.power = np.random.poisson(30, 15)
        pds.mjdref = 54385.3254923845
        pds.gti = np.longdouble([[-0.5, 3.5]])

        save_pds(pds, self.dum)
        pds2 = load_pds(self.dum)
        assert np.allclose(pds.gti, pds2.gti)
        assert np.allclose(pds.mjdref, pds2.mjdref)
        assert pds.m == pds2.m
Beispiel #2
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    def test_load_and_save_xps_quick(self):
        lcurve1 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                             mjdref=54385.3254923845,
                             gti=np.longdouble([[-0.5, 3.5]]))
        lcurve2 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                             mjdref=54385.3254923845,
                             gti=np.longdouble([[-0.5, 3.5]]))

        xps = AveragedCrossspectrum(lcurve1, lcurve2, 1)

        save_pds(xps, self.dum)
        xps2 = load_pds(self.dum, nosub=True)
        assert np.allclose(xps.gti, xps2.gti)
        assert xps.m == xps2.m

        assert not hasattr(xps2, 'pds1')
Beispiel #3
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    def test_load_and_save_xps_no_all(self):
        lcurve1 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                             mjdref=54385.3254923845,
                             gti=np.longdouble([[-0.5, 3.5]]))
        lcurve2 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                             mjdref=54385.3254923845,
                             gti=np.longdouble([[-0.5, 3.5]]))

        xps = AveragedCrossspectrum(lcurve1, lcurve2, 1)

        outfile = 'small_xps' + HEN_FILE_EXTENSION
        save_pds(xps, outfile, save_all=False)
        xps2 = load_pds(outfile)
        assert np.allclose(xps.gti, xps2.gti)
        assert xps.m == xps2.m
        assert not hasattr(xps2, 'pds1')
Beispiel #4
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def save_to_intermediate_file(stingray_object, fname):
    """Save Stingray object to intermediate file."""
    from stingray.lightcurve import Lightcurve
    from stingray.events import EventList
    from stingray.crossspectrum import Crossspectrum
    from hendrics.io import save_lcurve, save_events, save_pds
    if isinstance(stingray_object, Lightcurve):
        save_lcurve(stingray_object, fname)
    elif isinstance(stingray_object, EventList):
        save_events(stingray_object, fname)
    # This also work for Powerspectrum and AveragedCrosspowerspectrum, clearly
    elif isinstance(stingray_object, Crossspectrum):
        save_pds(stingray_object, fname)
    else:
        logging.error("save_to_intermediate_file: Unknown object type: %s" % type(stingray_object).__name__)
        return False

    return True
Beispiel #5
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    def test_load_and_save_xps(self):
        lcurve1 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                             mjdref=54385.3254923845,
                             gti = np.longdouble([[-0.5, 3.5]]))
        lcurve2 = Lightcurve(np.linspace(0, 10, 150),
                             np.random.poisson(30, 150),
                            mjdref=54385.3254923845,
                            gti = np.longdouble([[-0.5, 3.5]]))

        xps = AveragedCrossspectrum(lcurve1, lcurve2, 1)

        save_pds(xps, self.dum)
        xps2 = load_pds(self.dum)
        assert np.allclose(xps.gti, xps2.gti)
        assert xps.m == xps2.m
        lag, lag_err = xps.time_lag()
        lag2, lag2_err = xps2.time_lag()
        assert np.allclose(lag, lag2)
Beispiel #6
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def save_to_intermediate_file(stingray_object, fname):
    """Save Stingray object to intermediate file."""
    from stingray.lightcurve import Lightcurve
    from stingray.events import EventList
    from stingray.crossspectrum import Crossspectrum
    from hendrics.io import save_lcurve, save_events, save_pds
    if isinstance(stingray_object, Lightcurve):
        save_lcurve(stingray_object, fname)
    elif isinstance(stingray_object, EventList):
        save_events(stingray_object, fname)
    # This also work for Powerspectrum and AveragedCrosspowerspectrum, clearly
    elif isinstance(stingray_object, Crossspectrum):
        save_pds(stingray_object, fname)
    else:
        logging.error("save_to_intermediate_file: Unknown object type: %s" %
                      type(stingray_object).__name__)
        return False

    return True