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import pytest |
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from asgardpy.analysis import AsgardpyAnalysis |
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@pytest.mark.test_data |
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def test_joint_3d_1d(base_config): |
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""" |
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Test to run a major Fermi (3D) + HESS (1D) + MAGIC (1D) joint analysis. |
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""" |
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analysis = AsgardpyAnalysis(base_config) |
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extra_config = base_config.copy() |
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extra_config.general.n_jobs = 33 |
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analysis.update_config(extra_config) |
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analysis.run(["datasets-3d"]) |
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analysis.run(["datasets-1d"]) |
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analysis.run_fit() |
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assert analysis.config.general.n_jobs == 33 |
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assert len(analysis.datasets) == 4 |
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assert len(analysis.models) == 11 |
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assert analysis.fit_result.success is True |
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@pytest.mark.test_data |
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def test_analysis_basics(gammapy_data_path, base_config): |
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"""Testing some basic analysis functions.""" |
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other_config_path_1 = f"{gammapy_data_path}fermi-3fhl-crab/Fermi-LAT-3FHL_models.yaml" |
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base_config.target.models_file = other_config_path_1 |
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analysis_1 = AsgardpyAnalysis(base_config) |
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with pytest.raises(RuntimeError): |
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print(analysis_1.models) |
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spec_model_name = analysis_1.config.target.components[0].spectral.type |
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assert spec_model_name == "LogParabolaSpectralModel" |
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other_config_path_2 = f"{gammapy_data_path}fermi-3fhl-crab/Fermi-LAT-3FHL_datasets.yaml" |
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base_config.target.models_file = other_config_path_2 |
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with pytest.raises(TypeError): |
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AsgardpyAnalysis(base_config) |
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config_dict = {"general": {"n_jobs": 111}} |
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analysis_1.config = config_dict |
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assert analysis_1.config.general.n_jobs == 111 |
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@pytest.mark.test_data |
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def test_ebl_deabsorbed(gammapy_data_path, ebl_hess_pks): |
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"""Testing generation of EBL-deabsorbed Flux points.""" |
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analysis = AsgardpyAnalysis(ebl_hess_pks) |
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analysis.run() |
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analysis.get_correct_ebl_deabs_flux_points() |
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assert len(analysis.model_deabs.parameters) == 3 |
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assert analysis.flux_points_deabs |
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chaimain /
asgardpy
