Feature #490

Avoid casts for derived classes

Added by Knödlseder Jürgen about 12 years ago. Updated almost 12 years ago.

Status:ClosedStart date:09/20/2012
Priority:NormalDue date:
Assigned To:Knödlseder Jürgen% Done:

43%

Category:-
Target version:00-07-00
Duration:

Recurrence

No recurrence.

Subtasks

Action #501: Rework GOptimizer interfaceClosedKnödlseder Jürgen

Action #500: Rework GXmlNode interfaceClosedKnödlseder Jürgen

Action #498: Rework GRoi interfaceClosedKnödlseder Jürgen

Action #497: Rework GPointing interfaceClosedKnödlseder Jürgen

Action #495: Rework GResponse interfaceClosedKnödlseder Jürgen

Action #494: Rework GObservation interfaceClosedKnödlseder Jürgen

Action #493: Rework GInstDir interfaceClosedKnödlseder Jürgen

Action #492: Rework GEvents interfaceClosedKnödlseder Jürgen

Action #491: Rework GEvent interfaceClosedKnödlseder Jürgen

Action #503: Rework GModelSpectral interfaceClosedKnödlseder Jürgen

Action #499: Rework GModel interfaceClosedKnödlseder Jürgen

Action #504: Rework GModelTemporal interfaceClosedKnödlseder Jürgen

Action #502: Rework GModelSpatial interfaceClosedKnödlseder Jürgen

Action #496: Rework GFitsImage interfaceClosedKnödlseder Jürgen

History

#1 Updated by Knödlseder Jürgen about 12 years ago

  • Priority changed from Normal to Urgent
  • Target version set to 00-07-00
  • Estimated time set to 40.00

The Python module includes a couple of cast functions that allow converting from base class pointers to derived class pointers. The necessity for having these casts points to a poorly defined base class interface which should be avoided in the future.

The relevant base class interfaces should be modified so that casts are no longer necessary.

#2 Updated by Knödlseder Jürgen about 12 years ago

Here a list of files where Python casts are actually used in GammaLib:

inst/cta/test/example_make_model.py:    events = cast_GCTAEventCube(obs.events())
inst/cta/test/example_sim_photons.py:    model  = cast_GModelSky(models[0])
inst/cta/test/example_sim_photons.py:        crab   = cast_GModelSky(models[0])
inst/cta/test/test_irf_offset.py:        bin = cast_GCTAEventBin(bin)
inst/cta/test/test_model.py:        bin = cast_GCTAEventBin(bin)
inst/cta/test/test_model.py:        bin = cast_GCTAEventBin(bin)
inst/cta/test/test_radial_acceptance.py:    radial = cast_GCTAModelRadialAcceptance(models["Background"]).radial()
inst/lat/test/test_python.py:        cube = cast_GLATEventCube(run.events())
inst/mwl/test/test_python.py:            crab = cast_GModelSky(model)
test/test_GFits.py:        img_double = cast_GFitsImageDouble(fits.image("Double"))
test/test_GFits.py:        #img_byte = cast_GFitsImageByte(fits.image("Double"))

And here a list of files where Python casts are actually used in ctools:

examples/make_binned_analysis.py:            cube = cast_GCTAEventCube(obs.events())
examples/make_binned_analysis.py:            cube = cast_GCTAEventCube(obs.events())
examples/make_unbinned_analysis.py:            list = cast_GCTAEventList(obs.events())
examples/make_unbinned_analysis.py:            list = cast_GCTAEventList(obs.events())
scripts/cssens.py:            pflux     = cast_GModelSky(result_all["Test"]).spectral().flux(emin, emax)
scripts/cssens.py:            eflux     = cast_GModelSky(result_all["Test"]).spectral().eflux(emin, emax)
scripts/obsutils.py:            event = cast_GCTAEventAtom(event)
test/example_survey.py:            list = cast_GCTAEventList(run.events())
test/example_survey.py:            list = cast_GCTAEventList(run.events())
test/example_survey.py:            event = cast_GCTAEventAtom(event)

And here a list of other scripts that I currently use on my Mac (in the cta folder):

dc1/results-v0/example_unbinned_ml_fit.py:        obs = cast_GCTAObservation(obs)
dc1/results-v0/example_unbinned_ml_fit.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1/results-v0/example_unbinned_ml_fit.py:        obs = cast_GCTAObservation(obs)
dc1/results-v0/example_unbinned_ml_fit.py:        cube = cast_GCTAEventCube(obs.events())
dc1/results-v0/example_unbinned_ml_fit.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1/results-v0/example_unbinned_ml_fit.py:        obs = cast_GCTAObservation(obs)
dc1/results-v0/example_unbinned_ml_fit.py:        events = cast_GCTAEventCube(obs.events())
dc1-analysis/fermi/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/fermi/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/fermi/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/fermi/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/fermi/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/fermi-hess/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/fermi-hess/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/fermi-hess/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/fermi-hess/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/fermi-hess/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/fermi-magic/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/fermi-magic/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/fermi-magic/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/fermi-magic/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/fermi-magic/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/fermi-magic-hess/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/fermi-magic-hess/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/fermi-magic-hess/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/fermi-magic-hess/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/fermi-magic-hess/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/hess-magic/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess-magic/analyse_crab_spectrum.py:        cube = cast_GCTAEventCube(obs.events())
dc1-analysis/hess-magic/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess-magic/analyse_crab_spectrum.py:        events = cast_GCTAEventCube(obs.events())
dc1-analysis/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess-magic/analyse_crab_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-analysis/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess-magic/analyse_crab_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-analysis/hess-magic/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/hess-magic/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/hess-magic/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/hess-magic/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/hess-magic/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/hess.old/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-analysis/hess.old/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess.old/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-analysis/hess.old/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/hess.old/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-analysis/hess.old/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-analysis/magic/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-analysis/magic/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-analysis/magic/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-analysis/magic/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-analysis/magic/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-analysis/magic.old/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-analysis/magic.old/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/magic.old/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-analysis/magic.old/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-analysis/magic.old/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-analysis/magic.old/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials/hess/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials/hess/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess-magic/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess-magic/analyse_crab_spectrum.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess-magic/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess-magic/analyse_crab_spectrum.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess-magic/analyse_crab_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/hess-magic/analyse_crab_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials/hess-magic/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-tutorials/hess-magic/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-tutorials/hess-magic/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-tutorials/hess-magic/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-tutorials/hess-magic/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-tutorials/magic/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials/magic/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/magic/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials/magic/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials/magic/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials/magic/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/gaussian/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/gaussian-test/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse_pks_nodes.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess/analyse_pks_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-tutorials-v0/hess/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-tutorials-v0/hess/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-tutorials-v0/hess/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-tutorials-v0/hess/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-tutorials-v0/hess-magic/analyse_crab_binned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-magic/analyse_crab_binned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-magic/analyse_crab_binned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-magic/analyse_crab_binned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-magic/analyse_crab_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-magic/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-magic/analyse_crab_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-magic/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-tutorials-v0/hess-magic/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-tutorials-v0/hess-magic/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-tutorials-v0/hess-magic/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-tutorials-v0/hess-magic/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_gauss.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_nodes.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_spectrum.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_spectrum_nodes.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_crab_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_pks_nodes.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/hess-old/analyse_pks_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/hess-old/show_spectrum.py:        source   = cast_GXmlElement(library.element("source", i))
dc1-tutorials-v0/hess-old/show_spectrum.py:        spectrum = cast_GXmlElement(source.element("spectrum", 0))
dc1-tutorials-v0/hess-old/show_spectrum.py:            node          = cast_GXmlElement(spectrum.element("node", k))
dc1-tutorials-v0/hess-old/show_spectrum.py:            par_energy    = cast_GXmlElement(node.element("parameter", 0))
dc1-tutorials-v0/hess-old/show_spectrum.py:            par_intensity = cast_GXmlElement(node.element("parameter", 1))
dc1-tutorials-v0/magic/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/magic/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/magic/analyse.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/magic/analyse.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/magic/analyse.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/magic/analyse.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_crab_nodes.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_crab_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-test/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-v0/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
dc1-tutorials-v0/unbinned-v1/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
erlangen-tutorials/unbinned/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
erlangen-tutorials/unbinned/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
erlangen-tutorials/unbinned/analyse_unbinned.py:        cube = cast_GCTAEventCube(obs.events())
erlangen-tutorials/unbinned/analyse_unbinned.py:        rois.append(cast_GCTAEventList(obs.events()).roi())
erlangen-tutorials/unbinned/analyse_unbinned.py:        obs = cast_GCTAObservation(obs)
erlangen-tutorials/unbinned/analyse_unbinned.py:        events = cast_GCTAEventCube(obs.events())
examples/example_survey.py:        list = cast_GCTAEventList(run.events())
examples/example_survey.py:        list = cast_GCTAEventList(run.events())
examples/example_survey.py:            event = cast_GCTAEventAtom(event)
examples/milagro/example_survey.py:            event = cast_GCTAEventAtom(event)
examples/old/example_survey.py:        list = cast_GCTAEventList(run.events())
examples/old/example_survey.py:        list = cast_GCTAEventList(run.events())
examples/old/example_survey.py:            event = cast_GCTAEventAtom(event)
examples/old/problem_integration_did_not_converge.py:        list = cast_GCTAEventList(run.events())
examples/old/problem_integration_did_not_converge.py:        list = cast_GCTAEventList(run.events())
examples/old/problem_integration_did_not_converge.py:            event = cast_GCTAEventAtom(event)
examples/old/survey_study.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study.py:            event = cast_GCTAEventAtom(event)
examples/old/survey_study_jk.py:            event = cast_GCTAEventAtom(event)
examples/old/survey_study_orig.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study_orig.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study_orig.py:            event = cast_GCTAEventAtom(event)
examples/old/survey_study_spread.py:            event = cast_GCTAEventAtom(event)
examples/old/survey_study_test.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study_test.py:        list = cast_GCTAEventList(run.events())
examples/old/survey_study_test.py:            event = cast_GCTAEventAtom(event)
examples/survey/example_survey.py:            event = cast_GCTAEventAtom(event)
examples/survey/example_survey.py~:            event = cast_GCTAEventAtom(event)
examples/survey/integration_convergence.py:            event = cast_GCTAEventAtom(event)
examples/survey/premature_fit_stop.py:            event = cast_GCTAEventAtom(event)
examples/survey/survey_sensitivity_forjurgen.py:            event = cast_GCTAEventAtom(event)
examples/survey/survey_sensitivity_forjurgen.py:                    pflux_save[test_num1]=cast_GModelSky(result_all[1]).spectral().flux(e_min, e_max)
examples/survey/survey_sensitivity_forjurgen.py:                    eflux_save[test_num1]=cast_GModelSky(result_all[1]).spectral().eflux(e_min, e_max)
sensitivity/old/survey_sensitivity_rev0.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_sensitivity_rev0.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_sensitivity_rev0.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_sensitivity_rev1.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_sensitivity_rev2.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_sensitivity_rev3.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_study.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_study_energy.py:        pflux = cast_GModelSky(full_model[1]).spectral().flux(e_min, e_max)
sensitivity/old/survey_study_energy.py:        eflux = cast_GModelSky(full_model[1]).spectral().eflux(e_min, e_max)
sensitivity/old/survey_study_orig.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study_orig.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study_orig.py:            event = cast_GCTAEventAtom(event)
sensitivity/old/survey_study_test.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study_test.py:        list = cast_GCTAEventList(run.events())
sensitivity/old/survey_study_test.py:            event = cast_GCTAEventAtom(event)
testing/ctobssim/myutils.py:            event = cast_GCTAEventAtom(event)
testing/ctobssim/openmp.py:            cast_GCTAObservation(obs).response(self.m_irf, self.m_caldb)
testing/openmp/myutils.py:            event = cast_GCTAEventAtom(event)
testing/pierrick/survey_offsetanglestudy.py:            event = cast_GCTAEventAtom(event)
testing/pierrick/survey_offsetanglestudy.py:    rsp=cast_GCTAResponse(obs.response())
testing/pierrick/survey_offsetanglestudy.py:                pflux_save[test_num1]=cast_GModelSky(result_all[1]).spectral().flux(e_min, e_max)
testing/pierrick/survey_offsetanglestudy.py:                eflux_save[test_num1]=cast_GModelSky(result_all[1]).spectral().eflux(e_min, e_max)

At the end of the rework, all casts should have disappeared. Being aware of the existing casts may help in the redesign of the interfaces.

#3 Updated by Knödlseder Jürgen about 12 years ago

Got it!

I managed to make a dynamic type conversion in SWIG using an output map. Here the code that I added to GModels.i:

%typemap(out) GModel& {
    if (dynamic_cast<GModelSky*>($1) != NULL) {
        $result = SWIG_NewPointerObj(SWIG_as_voidptr($1), SWIGTYPE_p_GModelSky, 0 |  0 );
    }
    else {
        $result = SWIG_NewPointerObj(SWIG_as_voidptr($1), SWIGTYPE_p_GModelData, 0 |  0 );
    }
}

This is correctly interpreted in the subsequent methods


    GModel& __getitem__(const int& index) {
        if (index >= 0 && index < self->size()) {
            return (*self)[index];
        }
        else
            throw GException::out_of_range("__getitem__(int)", index, self->size());
    }
    GModel& __getitem__(const std::string& name) {
        return (*self)[name];
    }

#4 Updated by Knödlseder Jürgen about 12 years ago

  • Due date set to 09/20/2012
  • Start date set to 09/20/2012

due to changes in a related task

#5 Updated by Knödlseder Jürgen about 12 years ago

  • Assigned To set to Knödlseder Jürgen

#6 Updated by Knödlseder Jürgen almost 12 years ago

  • Status changed from New to In Progress

#7 Updated by Knödlseder Jürgen almost 12 years ago

Here a list of GammaLib scripts from which the cast method could not be removed:

inst/cta/test/test_radial_acceptance.py:    radial = cast_GCTAModelRadialAcceptance(models["Background"]).radial()

#8 Updated by Knödlseder Jürgen almost 12 years ago

  • Status changed from In Progress to Closed

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