示例#1
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def test_AHFHalosDataset():
    ds = load(ahf_halos)
    assert isinstance(ds, AHFHalosDataset)
    ad = ds.all_data()
    ad[("all", "particle_mass")]
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#2
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文件: test_outputs.py 项目: tukss/yt
def test_snapshot_033():
    ds = data_dir_load(os33)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
    for test in sph_answer(ds, "snap_033", 2 * 128**3, _fields):
        test_snapshot_033.__name__ = test.description
        yield test
示例#3
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def test_particle_subselection():
    #This checks that we correctly subselect from a dataset, first by making
    #sure we get all the particles, then by comparing manual selections against
    #them.
    ds = data_dir_load(snap_33)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#4
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def test_gasoline_dmonly():
    cosmology_parameters = dict(current_redshift=0.0,
                                omega_lambda=0.728,
                                omega_matter=0.272,
                                hubble_constant=0.702)
    kwargs = dict(cosmology_parameters=cosmology_parameters,
                  unit_base={'length': (60.0, "Mpccm/h")})
    ds = data_dir_load(gasoline_dmonly, TipsyDataset, (), kwargs)
    for test in nbody_answer(ds, "agora_1e11.00400", 10550576, _fields):
        yield test
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#5
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def test_particle_selection():
    ds = data_dir_load(dmonly)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#6
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def test_arepo_tng59_selection():
    ds = data_dir_load(tng59_h5)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#7
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def test_arepo_hdf5_selection():
    ds = data_dir_load(bullet_h5)
    assert isinstance(ds, ArepoHDF5Dataset)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#8
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def test_EagleDataset():
    ds = data_dir_load(s28)
    assert isinstance(ds, EagleDataset)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#9
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def test_arepo_tng59_selection():
    ds = data_dir_load(tng59_h5, kwargs={"bounding_box": _tng59_bbox})
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#10
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def test_arepo_hdf5_selection():
    ds = data_dir_load(bullet_h5)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#11
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def test_FLASHParticleDataset_selection():
    ds = data_dir_load(fid_1to3_b1)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#12
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def test_non_cosmo_dataset_selection():
    ds = load(keplerian_ring)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#13
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def test_cosmo_dataset_selection():
    ds = load(EAGLE_6)
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()
示例#14
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def test_pkdgrav():
    ds = data_dir_load(pkdgrav, TipsyDataset, (), kwargs=pkdgrav_kwargs)
    for test in nbody_answer(ds, "halo1e11_run1.00400", 26847360, _fields):
        yield test
    psc = ParticleSelectionComparison(ds)
    psc.run_defaults()