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# Copyright CNRS/Inria/UNS
# Contributor(s): Eric Debreuve (since 2019), Morgane Nadal (2020)
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#
# eric.debreuve@cnrs.fr
#
# This software is governed by the CeCILL  license under French law and
# abiding by the rules of distribution of free software.  You can  use,
# modify and/ or redistribute the software under the terms of the CeCILL
# license as circulated by CEA, CNRS and INRIA at the following URL
# "http://www.cecill.info".
#
# As a counterpart to the access to the source code and  rights to copy,
# modify and redistribute granted by the license, users are provided only
# with a limited warranty  and the software's author,  the holder of the
# economic rights,  and the successive licensors  have only  limited
# liability.
#
# In this respect, the user's attention is drawn to the risks associated
# with loading,  using,  modifying and/or developing or reproducing the
# software by the user in light of its specific status of free software,
# that may mean  that it is complicated to manipulate,  and  that  also
# therefore means  that it is reserved for developers  and  experienced
# professionals having in-depth computer knowledge. Users are therefore
# encouraged to load and test the software's suitability as regards their
# requirements in conditions enabling the security of their systems and/or
# data to be ensured and,  more generally, to use and operate it in the
# same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.

from brick.general.type import array_t
import numpy as np_
import sys as sy_


def ImageVerification(image, channel):
    if image.ndim == 3:
        print('Your image has only one color channel.')
        if channel == 'RGB':
            print('"RGB" channels are specified in the parameters. The image dimensions are not correct:', image.ndim,
                  ', instead of 4.')
            sy_.exit(0)

    elif image.ndim == 4:
        if channel == 'R' or channel == 'G' or channel == 'B':
            print('The image has multiple color channels. The channel', channel,
                  'is specified in the parameters.')
            for idx, color in enumerate('RGB'):
                if channel == color:
                    image = image[:, :, :, idx]
            return image
        elif channel == 'RGB':
            print('"RGB" channels are specified in the parameters. The program does not handle multiple channels for '
                  'now.')
            sy_.exit(0)

    elif image.ndim != 4 and image.ndim != 3:
        print('The image dimensions are not correct:', image.ndim, ', instead of 3 or 4.')
        sy_.exit(0)

# if channel != 'RGB' and image.ndim == 4:
#     print('The image has multiple color channels. The channel', channel, 'was specified in the parameters.')
#     for idx, color in enumerate('RGB'):
#         if channel == color:
#             image = image[:, :, :, idx]
# elif channel == 'RGB' and image.ndim == 3:
#     print('WARNING. The 3 RGB color channels were selected in the parameters but the image has only one channel.')
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def NormalizedImage(image: array_t) -> array_t:
    #
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    print(
        "This normalization does not bring anything; left as is for now to avoid the need for changing prms"
    )
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    nonextreme_values = image[np_.logical_and(image > 0.0, image < image.max())]

    if nonextreme_values.size > 0:
        nonextreme_avg = nonextreme_values.mean()
        result = image.astype(np_.float32) / nonextreme_avg
    else:
        result = image.astype(np_.float32)

    return result
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def DijkstraCosts(image: array_t, som_map: array_t, ext_map: array_t) -> array_t:
    #
    # TODO: Ideally, the extension part should be dilated
    # but in ext-ext connections, there must not be dilation around the current or the other exts
    # (current ext plays the role of a soma in soma-ext step)
    #
    dijkstra_costs = 1.0 / (image + 1.0)
    dijkstra_costs[np_.logical_or(som_map > 0, ext_map > 0)] = np_.inf

    return dijkstra_costs