#!/usr/bin/env python3
# ******************************************************************************
#
#  Project:  GDAL
#  Purpose:  Example doing range based classification
#  Author:   Frank Warmerdam, warmerdam@pobox.com
#
# ******************************************************************************
#  Copyright (c) 2008, Frank Warmerdam <warmerdam@pobox.com>
#
#  Permission is hereby granted, free of charge, to any person obtaining a
#  copy of this software and associated documentation files (the "Software"),
#  to deal in the Software without restriction, including without limitation
#  the rights to use, copy, modify, merge, publish, distribute, sublicense,
#  and/or sell copies of the Software, and to permit persons to whom the
#  Software is furnished to do so, subject to the following conditions:
#
#  The above copyright notice and this permission notice shall be included
#  in all copies or substantial portions of the Software.
#
#  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
#  OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
#  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
#  THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
#  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
#  FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
#  DEALINGS IN THE SOFTWARE.
# ******************************************************************************

import sys
import numpy as np

from osgeo import gdal, gdal_array


def doit(src_filename, dst_filename):
    class_defs = [(1, 10, 20),
                  (2, 20, 30),
                  (3, 128, 255)]

    src_ds = gdal.Open(src_filename)
    xsize = src_ds.RasterXSize
    ysize = src_ds.RasterYSize

    src_image = gdal_array.LoadFile(src_filename)

    dst_image = np.zeros((ysize, xsize))

    for class_info in class_defs:
        class_id = class_info[0]
        class_start = class_info[1]
        class_end = class_info[2]

        class_value = np.ones((ysize, xsize)) * class_id

        mask = np.bitwise_and(
            np.greater_equal(src_image, class_start),
            np.less_equal(src_image, class_end))

        dst_image = np.choose(mask, (dst_image, class_value))

    gdal_array.SaveArray(dst_image, dst_filename)


def main(argv=sys.argv):
    src_filename = 'utm.tif'
    dst_filename = 'classes.tif'
    if len(argv) > 1:
        src_filename = argv[1]
    if len(argv) > 2:
        dst_filename = argv[2]
    return doit(src_filename, dst_filename)


if __name__ == '__main__':
    sys.exit(main(sys.argv))
