def load_world_to_hdf5(filename):
    f = h5py.File(filename, libver='latest', mode='r')

    w = World(f['general/name'].value,
              Size(f['general/width'].value, f['general/height'].value),
              f['generation_params/seed'].value,
              GenerationParameters(f['generation_params/n_plates'].value,
                                   f['generation_params/ocean_level'].value,
                                   Step.get_by_name(f['generation_params/step'].value)))

    # Elevation
    e = numpy.array(f['elevation/data'])
    e_th = [('sea', f['elevation/thresholds/sea'].value),
            ('plain', f['elevation/thresholds/plain'].value),
            ('hill', f['elevation/thresholds/hill'].value),
            ('mountain', None)]
    w.set_elevation(e, e_th)

    # Plates
    w.set_plates(numpy.array(f['plates']))

    # Ocean
    w.set_ocean(numpy.array(f['ocean']))
    w.set_sea_depth(numpy.array(f['sea_depth']))

    # Biome
    if 'biome' in f.keys():
        biome_data = []
        for y in range(w.height):
            row = []
            for x in range(w.width):
                value = f['biome'][y, x]
                row.append(biome_index_to_name(value))
            biome_data.append(row)
        biome = numpy.array(biome_data, dtype=object)
        w.set_biome(biome)

    if 'humidity' in f.keys():
        data, quantiles = _from_hdf5_matrix_with_quantiles(f['humidity'])
        w.set_humidity(data, quantiles)

    if 'irrigation' in f.keys():
        w.set_irrigation(numpy.array(f['irrigation']))

    if 'permeability' in f.keys():
        p = numpy.array(f['permeability/data'])
        p_th = [
            ('low', f['permeability/thresholds/low'].value),
            ('med', f['permeability/thresholds/med'].value),
            ('hig', None)
        ]
        w.set_permeability(p, p_th)

    if 'watermap' in f.keys():
        data = numpy.array(f['watermap/data'])
        thresholds = {}
        thresholds['creek'] = f['watermap/thresholds/creek'].value
        thresholds['river'] =  f['watermap/thresholds/river'].value
        thresholds['main river'] = f['watermap/thresholds/mainriver'].value
        w.set_watermap(data, thresholds)

    if 'precipitation' in f.keys():
        p = numpy.array(f['precipitation/data'])
        p_th = [
            ('low', f['precipitation/thresholds/low'].value),
            ('med', f['precipitation/thresholds/med'].value),
            ('hig', None)
        ]
        w.set_precipitation(p, p_th)

    if 'temperature' in f.keys():
        t = numpy.array(f['temperature/data'])
        t_th = [
            ('polar', f['temperature/thresholds/polar'].value),
            ('alpine', f['temperature/thresholds/alpine'].value),
            ('boreal', f['temperature/thresholds/boreal'].value),
            ('cool', f['temperature/thresholds/cool'].value),
            ('warm', f['temperature/thresholds/warm'].value),
            ('subtropical', f['temperature/thresholds/subtropical'].value),
            ('tropical', None)
        ]
        w.set_temperature(t, t_th)

    if 'icecap' in f.keys():
        w.set_icecap(numpy.array(f['icecap']))

    if 'lake_map' in f.keys():
        m = numpy.array(f['lake_map'])
        w.set_lakemap(m)

    if 'river_map' in f.keys():
        m = numpy.array(f['river_map'])
        w.set_rivermap(m)

    f.close()

    return w
dataset/ETHPy150Open Mindwerks/worldengine/worldengine/hdf5_serialization.py/load_world_to_hdf5/original