File: census.test

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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).
#
# Tests the census generation code.
#
# 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/>.

s = None
partial = None

#######################################################################

def foundGluings2(g):
	print(g.triangulate().isoSig())

def auto2(p, isos):
	print(p.str())
	GluingPermSearcher2.findAllPerms(p, isos, False, foundGluings2)

def best2(p, isos):
	print(p.str())
	b = GluingPermSearcher2.bestSearcher(p, isos, False)
	b.runSearch(foundGluings2)

FacetPairing2.findAllPairings(2, False, 0, auto2)
print()
FacetPairing2.findAllPairings(2, False, 0, best2)
print()

def foundPartial2(g):
	if s.isComplete():
		print('Depth too large: found complete set')
	partial.append(s.taggedData())

def partial2(p, isos):
	global s, partial
	print(p.str())
	
	partial = []
	s = GluingPermSearcher2(p, isos, False)
	s.partialSearch(2, foundPartial2)
	for i in partial:
		s = GluingPermSearcher2.fromTaggedData(i)
		s.runSearch(foundGluings2)

FacetPairing2.findAllPairings(2, False, 0, partial2)
print()

#######################################################################

def foundGluings3(g):
	t = g.triangulate()
	# Note: simplify() might reduce vertices but keep the
	# same number of tetrahedra.
	if not t.simplify():
		print(t.isoSig())

def auto3(p, isos):
	print(p.str())
	GluingPermSearcher3.findAllPerms(p, isos, True, True,
		CensusPurge.NonMinimal, foundGluings3)

def best3(p, isos):
	print(p.str())
	b = GluingPermSearcher3.bestSearcher(p, isos, True, True,
		CensusPurge.NonMinimal)
	b.runSearch(foundGluings3)

FacetPairing3.findAllPairings(2, False, 0, auto3)
print()
FacetPairing3.findAllPairings(2, False, 0, best3)
print()

def foundPartial3(g):
	if s.isComplete():
		print('Depth too large: found complete set')
	partial.append(s.taggedData())

def partial3(p, isos):
	global s, partial
	print(p.str())
	
	partial = []
	s = CompactSearcher(p, isos, True, CensusPurge.NonMinimal)
	s.partialSearch(2, foundPartial3)
	for i in partial:
		s = GluingPermSearcher3.fromTaggedData(i)
		s.runSearch(foundGluings3)

FacetPairing3.findAllPairings(2, False, 0, partial3)
print()

#######################################################################

def foundGluings4(g):
	print(g.triangulate().isoSig())

def auto4(p, isos):
	print(p.str())
	GluingPermSearcher4.findAllPerms(p, isos, True, True, foundGluings4)

def best4(p, isos):
	print(p.str())
	b = GluingPermSearcher4.bestSearcher(p, isos, True, True)
	b.runSearch(foundGluings4)

FacetPairing4.findAllPairings(2, False, 0, auto4)
print()
FacetPairing4.findAllPairings(2, False, 0, best4)
print()

def foundPartial4(g):
	if s.isComplete():
		print('Depth too large: found complete set')
	partial.append(s.taggedData())

def partial4(p, isos):
	global s, partial
	print(p.str())
	
	partial = []
	s = GluingPermSearcher4(p, isos, True, True)
	s.partialSearch(2, foundPartial4)
	for i in partial:
		s = GluingPermSearcher4.fromTaggedData(i)
		s.runSearch(foundGluings4)

FacetPairing4.findAllPairings(2, False, 0, partial4)
print()

#######################################################################