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# Regina - A Normal Surface Theory Calculator
# Python Test Suite Component
#
# Copyright (c) 2007-2025, Ben Burton
# For further details contact Ben Burton (bab@debian.org).
#
# Provides tests for plantri format encodings and decodings.
#
# This file is a single component of Regina's python test suite. To run
# the python test suite, move to the main python directory in the source
# tree and run "make check".
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License as
# published by the Free Software Foundation; either version 2 of the
# License, or (at your option) any later version.
#
# As an exception, when this program is distributed through (i) the
# App Store by Apple Inc.; (ii) the Mac App Store by Apple Inc.; or
# (iii) Google Play by Google Inc., then that store may impose any
# digital rights management, device limits and/or redistribution
# restrictions that are required by its terms of service.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
def looksIsomorphic(g, h):
if g.size() != h.size():
return False
if g.canonicalPlantri() != h.canonicalPlantri():
return False
return True
def test(g):
a = g.plantri()
b = g.canonicalPlantri()
c = g.canonicalPlantri(True, True)
print(a)
print(b)
print(c)
if ModelLinkGraph.fromPlantri(a) != g:
print('Plantri decoding failed!')
if not looksIsomorphic(ModelLinkGraph.fromPlantri(b), g):
print('Canonical plantri decoding failed!')
if not looksIsomorphic(ModelLinkGraph.fromPlantri(c), g):
print('Tight canonical plantri decoding failed!')
test(ExampleLink.trefoil().graph())
test(ExampleLink.figureEight().graph())
test(ExampleLink.whitehead().graph())
test(ExampleLink.gst().graph())
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