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Create_JupyterKernel_general.ipynb

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  • test_defaults.py 3.32 KiB
    from mlair.configuration.defaults import *
    
    
    class TestGetDefaults:
    
        def test_get_defaults(self):
            defaults = get_defaults()
            assert isinstance(defaults, dict)
            assert all(map(lambda k: k in defaults.keys(), ["DEFAULT_STATIONS", "DEFAULT_BATCH_SIZE", "DEFAULT_PLOT_LIST"]))
            assert all(map(lambda x: x.startswith("DEFAULT"), defaults.keys()))
    
    
    class TestAllDefaults:
    
        def test_training_parameters(self):
            assert DEFAULT_CREATE_NEW_MODEL is True
            assert DEFAULT_TRAIN_MODEL is True
            assert DEFAULT_FRACTION_OF_TRAINING == 0.8
            assert DEFAULT_EXTREME_VALUES is None
            assert DEFAULT_EXTREMES_ON_RIGHT_TAIL_ONLY is False
            assert DEFAULT_PERMUTE_DATA is False
            assert DEFAULT_BATCH_SIZE == int(256 * 2)
            assert DEFAULT_EPOCHS == 20
    
        def test_data_handler_parameters(self):
            assert DEFAULT_STATIONS == ['DEBW107', 'DEBY081', 'DEBW013', 'DEBW076', 'DEBW087']
            assert DEFAULT_VAR_ALL_DICT == {'o3': 'dma8eu', 'relhum': 'average_values', 'temp': 'maximum',
                                            'u': 'average_values',
                                            'v': 'average_values', 'no': 'dma8eu', 'no2': 'dma8eu',
                                            'cloudcover': 'average_values',
                                            'pblheight': 'maximum'}
            assert DEFAULT_NETWORK == "AIRBASE"
            assert DEFAULT_STATION_TYPE == "background"
            assert DEFAULT_VARIABLES == DEFAULT_VAR_ALL_DICT.keys()
            assert DEFAULT_START == "1997-01-01"
            assert DEFAULT_END == "2017-12-31"
            assert DEFAULT_WINDOW_HISTORY_SIZE == 13
            assert DEFAULT_OVERWRITE_LOCAL_DATA is False
            assert DEFAULT_TARGET_VAR == "o3"
            assert DEFAULT_TARGET_DIM == "variables"
            assert DEFAULT_WINDOW_LEAD_TIME == 3
            assert DEFAULT_DIMENSIONS == {"new_index": ["datetime", "Stations"]}
            assert DEFAULT_TIME_DIM == "datetime"
            assert DEFAULT_INTERPOLATION_METHOD == "linear"
            assert DEFAULT_INTERPOLATION_LIMIT == 1
    
        def test_subset_parameters(self):
            assert DEFAULT_TRAIN_START == "1997-01-01"
            assert DEFAULT_TRAIN_END == "2007-12-31"
            assert DEFAULT_TRAIN_MIN_LENGTH == 90
            assert DEFAULT_VAL_START == "2008-01-01"
            assert DEFAULT_VAL_END == "2009-12-31"
            assert DEFAULT_VAL_MIN_LENGTH == 90
            assert DEFAULT_TEST_START == "2010-01-01"
            assert DEFAULT_TEST_END == "2017-12-31"
            assert DEFAULT_TEST_MIN_LENGTH == 90
            assert DEFAULT_TRAIN_VAL_MIN_LENGTH == 180
            assert DEFAULT_USE_ALL_STATIONS_ON_ALL_DATA_SETS is True
    
        def test_hpc_parameters(self):
            assert DEFAULT_HPC_HOST_LIST == ["jw", "hdfmlc"]
            assert DEFAULT_HPC_LOGIN_LIST == ["ju", "hdfmll"]
    
        def test_postprocessing_parameters(self):
            assert DEFAULT_EVALUATE_BOOTSTRAPS is True
            assert DEFAULT_CREATE_NEW_BOOTSTRAPS is False
            assert DEFAULT_NUMBER_OF_BOOTSTRAPS == 20
            assert DEFAULT_PLOT_LIST == ["PlotMonthlySummary", "PlotStationMap", "PlotClimatologicalSkillScore",
                                         "PlotTimeSeries", "PlotCompetitiveSkillScore", "PlotBootstrapSkillScore",
                                         "PlotConditionalQuantiles", "PlotAvailability", "PlotAvailabilityHistogram",
                                         "PlotSeparationOfScales"]