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1# -*- coding: utf-8 -*-
3# spechomo, Spectral homogenization of multispectral satellite data
4#
5# Copyright (C) 2019-2021
6# - Daniel Scheffler (GFZ Potsdam, daniel.scheffler@gfz-potsdam.de)
7# - Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences Potsdam,
8# Germany (https://www.gfz-potsdam.de/)
9#
10# This software was developed within the context of the GeoMultiSens project funded
11# by the German Federal Ministry of Education and Research
12# (project grant code: 01 IS 14 010 A-C).
13#
14# Licensed under the Apache License, Version 2.0 (the "License");
15# you may not use this file except in compliance with the License.
16# You may obtain a copy of the License at
17#
18# http://www.apache.org/licenses/LICENSE-2.0
19#
20# Please note the following exception: `spechomo` depends on tqdm, which is
21# distributed under the Mozilla Public Licence (MPL) v2.0 except for the files
22# "tqdm/_tqdm.py", "setup.py", "README.rst", "MANIFEST.in" and ".gitignore".
23# Details can be found here: https://github.com/tqdm/tqdm/blob/master/LICENCE.
24#
25# Unless required by applicable law or agreed to in writing, software
26# distributed under the License is distributed on an "AS IS" BASIS,
27# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
28# See the License for the specific language governing permissions and
29# limitations under the License.
32class ClassifierNotAvailableError(RuntimeError):
33 def __init__(self, spechomo_method, src_sat, src_sen, src_LBA, tgt_sat, tgt_sen, tgt_LBA, n_clusters):
34 self.spechomo_method = spechomo_method
35 self.src_sat = src_sat
36 self.src_sen = src_sen
37 self.src_LBA = src_LBA
38 self.tgt_sat = tgt_sat
39 self.tgt_sen = tgt_sen
40 self.tgt_LBA = tgt_LBA
41 self.n_clusters = n_clusters
42 RuntimeError.__init__(self)
44 def __str__(self):
45 return 'No %s classifier available for predicting %s %s %s from %s %s %s (%d clusters).'\
46 % (self.spechomo_method, self.tgt_sat, self.tgt_sen, self.tgt_LBA,
47 self.src_sat, self.src_sen, self.src_LBA, self.n_clusters)