Source code for pycif.plugins.models.dummy.ini_mapper

import numpy as np
import datetime




def ini_mapper(model, general_mapper={}, backup_comps={},
               transforms_order=[], ref_transform="", **kwargs):
    input_intervals = {
        ddi: np.append(
            model.input_dates[ddi][:-1, np.newaxis],
            model.input_dates[ddi][:-1, np.newaxis]
            + datetime.timedelta(hours=1),
            axis=1)
        for ddi in model.input_dates}

    default_dict = {
        "input_dates": input_intervals,
        "force_loadin": True,
        "force_dump": True,
        "sparse_data": False,
        "sampled": False,
    }
    dict_surface = dict(default_dict, **{"domain": model.domain})

    # Executable
    mapper = {
        "inputs": {("meteo", param): dict_surface
                   for param in ["windspeed", "winddir", "stabclass"]},
        "outputs": {("concs", s): {
            "force_loadout": True,
            "input_dates": input_intervals,
            "continuous_hdomain": True,
            "continuous_vdomain": True,
            "domain": model.domain,
            "sampled": True,
            "sparse_data": False
        }
            for s in model.chemistry.acspecies.attributes},
    }

    emis = {
        ("flux", s): dict_surface
        for s in model.chemistry.acspecies.attributes
    }
    mapper["inputs"].update(emis)

    # Save propagation of perturbations
    mapper["outputs2inputs"] = {
        ("concs", s): [("flux", s)]
        for s in model.chemistry.acspecies.attributes
    }

    return mapper