# This software and supporting documentation are distributed by # Institut Federatif de Recherche 49 # CEA/NeuroSpin, Batiment 145, # 91191 Gif-sur-Yvette cedex # France # # This software is governed by the CeCILL license version 2 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 version 2 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 version 2 and that you accept its terms. from brainvisa.processes import * import registration import shfjGlobals name = 'New Referential' userLevel = 2 signature = Signature( 'data', ReadDiskItem( 'Any Type', getAllFormats() ), 'referential_type', OpenChoice( 'Referential of Raw T1 MRI' ), 'referential', WriteDiskItem( 'Referential', 'Referential' ), ) def initialization( self ): def linkRef( self, dummy ): if self.data is not None: t = self.referential_type if t == '': t = None return registration.getTransformationManager().findOrCreateReferential( diskItem=self.data, referentialType=t, simulation=True ) self.linkParameters( 'referential', ( 'data', 'referential_type' ), linkRef ) self.setOptional( 'referential_type', 'referential' ) def execution( self, context ): context.write( 'data:', self.data ) tm = registration.getTransformationManager() ref = tm.referential( self.data ) context.write( 'existing referential:', ref ) # even if a referential exists, it can be incorrect, so use find or create referential t = self.referential_type if t == '': t = None ref = tm.findOrCreateReferential( diskItem=self.data, referentialType = t, assign=True, output_diskitem=self.referential ) context.write( 'new ref:', ref )