def METHOD_NAME(argv):
    try:
        fname = argv[0]
    except:
        usage()
        sys.exit(1)
    atr = readfile.read_attribute(fname)
    k = atr['FILE_TYPE']
    print('input is '+k+' file: '+fname)
    try:
        mat_file = argv[1]
    except:
        mat_file = os.path.splitext(fname)[0]+'.mat'
    print('writing >>> '+mat_file)
    #####
    if k not in ['timeseries', 'ifgramStack']:
        data = readfile.read(fname)[0]
        V = {}
        V['time_range'] = ''
        try:
            V['x_first'] = float(atr['X_FIRST'])
            V['y_first'] = float(atr['Y_FIRST'])
            V['x_step'] = float(atr['X_STEP'])
            V['y_step'] = float(atr['Y_STEP'])
            V['x_unit'] = atr['X_UNIT']
            V['y_unit'] = atr['Y_UNIT']
        except:
            V['x_first'] = 1
            V['y_first'] = 1
            V['x_step'] = 1
            V['y_step'] = 1
            V['x_unit'] = ''
            V['y_unit'] = ''
        try:
            V['wavelength'] = float(atr['WAVELENGTH'])
        except:
            print('WAVELENGTH was not found')
        try:
            V['sat_height'] = float(atr['HEIGHT'])
        except:
            print('HEIGHT was not found')
        try:
            V['near_range'] = float(atr['STARTING_RANGE'])
        except:
            print('STARTING_RANGE was not found')
        V['far_range'] = ''
        try:
            V['near_LookAng'] = float(atr['LOOK_REF1'])
        except:
            print('LOOK_REF1 was not found')
        try:
            V['far_LookAng'] = float(atr['LOOK_REF2'])
        except:
            print('LOOK_REF2 was not found')
        V['earth_radius'] = ''
        V['Unit'] = 'm/yr'
        V['bperptop'] = ''
        V['bperpbot'] = ''
        V['sat'] = ''
        try:
            V['width'] = int(atr['WIDTH'])
        except:
            print('WIDTH was not found')
        try:
            V['file_length'] = int(atr['LENGTH'])
        except:
            print('LENGTH was not found')
        V['t'] = ''
        V['date'] = ''
        V['date_years'] = ''
        try:
            V['sat'] = atr['satellite']
        except:
            V['sat'] = ''
        ########################################################
        V['data'] = data
        sio.savemat(mat_file, {k: V})
    elif k == 'timeseries':
        f = h5py.File(fname, 'r')
        epochList = sorted(f['timeseries'].keys())
        data_dict = {}
        for epoch in epochList:
            print(epoch)
            d = f['timeseries'].get(epoch)
            ts = {}
            ts['data'] = d[0:d.shape[0], 0:d.shape[1]]
            try:
                ts['x_first'] = float(atr['X_FIRST'])
                ts['y_first'] = float(atr['Y_FIRST'])
                ts['x_step'] = float(atr['X_STEP'])
                ts['y_step'] = float(atr['Y_STEP'])
                ts['x_unit'] = atr['X_UNIT']
                ts['y_unit'] = atr['Y_UNIT']
            except:
                ts['x_first'] = 1
                ts['y_first'] = 1
                ts['x_step'] = 1
                ts['y_step'] = 1
                ts['x_unit'] = ''
                ts['y_unit'] = ''
            ts['wavelength'] = float(atr['WAVELENGTH'])
            ts['sat_height'] = float(atr['HEIGHT'])
            ts['near_range'] = float(atr['STARTING_RANGE'])
            ts['far_range'] = float(atr['STARTING_RANGE1'])
            ts['near_LookAng'] = float(atr['LOOK_REF1'])
            ts['far_LookAng'] = float(atr['LOOK_REF2'])
            ts['earth_radius'] = float(atr['EARTH_RADIUS'])
            ts['Unit'] = 'm'
            ts['bperptop'] = float(atr['P_BASELINE_TOP_HDR'])
            ts['bperpbot'] = float(atr['P_BASELINE_BOTTOM_HDR'])
            ts['sat'] = atr['PLATFORM']
            ts['width'] = int(atr['WIDTH'])
            ts['length'] = int(atr['LENGTH'])
            ts['t'] = np.round(
                (yyyymmdd2years(epoch)-yyyymmdd2years(epochList[0]))*365)
            ts['date'] = epoch
            ts['date_years'] = yyyymmdd2years(epoch)
            data_dict['t'+str(epoch)] = ts  #
        data_dict['Number_of_epochs'] = len(epochList)
        data_dict['epoch_dates'] = epochList
        sio.savemat(mat_file, {k: data_dict})
        f.close()
    return mat_file