Mercurial > repos > urgi-team > teiso
view TEisotools-1.0/commons/core/coord/MergeFromOverlaps.py @ 6:20ec0d14798e draft
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author | urgi-team |
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date | Wed, 20 Jul 2016 05:00:24 -0400 |
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# Copyright INRA (Institut National de la Recherche Agronomique) # http://www.inra.fr # http://urgi.versailles.inra.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. class MergeFromOverlaps(object): def __init__(self, lFeatures): self._lFeaturesToCluster = lFeatures ## Clusterize list of Features implementing isOverlapping() and merge() method (e.g Range-based and MergedRange-based objects). # # @param lUnsorted list of Features unsorted # @return lSortedAndMerged list of Features clustered and sorted # def clusterize(self): lSortedAndMerged = [] for iInUnsorted in self._lFeaturesToCluster: toBeRemoved = [] for iInSorted in lSortedAndMerged: if iInUnsorted.isOverlapping(iInSorted): toBeRemoved.append(iInSorted) iInUnsorted.merge(iInSorted) for tbr in toBeRemoved: lSortedAndMerged.remove(tbr) lSortedAndMerged.append(iInUnsorted) return lSortedAndMerged