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# This file is part of Bertini 2.
#
# python/test/system_test.py 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 3 of the License, or
# (at your option) any later version.
#
# python/test/system_test.py 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 python/test/system_test.py. If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2016-2018 by Bertini2 Development Team
#
# See <http://www.gnu.org/licenses/> for a copy of the license,
# as well as COPYING. Bertini2 is provided with permitted
# additional terms in the b2/licenses/ directory.
# individual authors of this file include:
#
# James Collins
# West Texas A&M University
# Spring 2016
#
# silviana amethyst
# UWEC
# Spring, Summer 2018
#
__author__ = 'James Collins'
from pybertini import *
from pybertini.function_tree.symbol import *
from pybertini.function_tree.root import *
from pybertini.function_tree import *
from pybertini.tracking import *
from pybertini.tracking.config import *
import unittest
import numpy as np
import pdb
import pybertini.multiprec as mp
from pybertini.multiprec import Float as mpfr_float
from pybertini.multiprec import Complex as mpfr_complex
class AMPTrackingTest(unittest.TestCase):
def setUp(self):
self.toldbl = 1e-15;
self.x = Variable("x");
self.y = Variable("y");
self.z = Variable("z");
self.t = Variable("t");
self.a = Float("4.897", "1.23")
#
self.f = Function(self.x*self.y);
self.g = Function(pow(self.x,2)*self.y - self.a*self.z*self.x);
def test_tracker_linear(self):
default_precision(30);
x = self.x; y = self.y; t = self.t;
s = System();
vars = VariableGroup();
vars.append(y);
s.add_function(y-t);
s.add_path_variable(t);
s.add_variable_group(vars);
ampconfig = amp_config_from(s);
tracker = AMPTracker(s);
stepping_pref = SteppingConfig();
newton_pref = NewtonConfig();
tracker.setup(Predictor.Euler, 1e-5, 1e5, stepping_pref, newton_pref);
tracker.precision_setup(ampconfig);
t_start = mpfr_complex(1)
t_end = mpfr_complex(0)
y_start = np.array([mpfr_complex(1)]);
y_end = np.array(np.zeros(shape=(s.num_variables()), dtype=np.int64),dtype=mpfr_complex);
tracker.track_path(y_end, t_start, t_end, y_start);
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
def test_tracker_quad(self):
default_precision(30);
y = self.y; t = self.t;
s = System();
vars = VariableGroup();
vars.append(y);
s.add_function(y-t**2);
s.add_path_variable(t);
s.add_variable_group(vars);
s.precision(30);
ampconfig = amp_config_from(s);
tracker = AMPTracker(s);
stepping_pref = SteppingConfig();
newton_pref = NewtonConfig();
tracker.setup(Predictor.Euler, 1e-5, 1e5, stepping_pref, newton_pref);
tracker.precision_setup(ampconfig);
t_start = mpfr_complex(1)
t_end = mpfr_complex(-1)
y_start = np.array([mpfr_complex(1)]);
y_end = np.array(np.zeros(shape=(s.num_variables()), dtype=np.int64),dtype=mpfr_complex);
tracker.track_path(y_end, t_start, t_end, y_start);
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
def test_tracker_sqrt(self):
default_precision(30);
x = self.x; y = self.y; t = self.t;
s = System();
vars = VariableGroup();
vars.append(y); vars.append(x);
s.add_function(x-t);
s.add_function(y**2 - x)
s.add_path_variable(t);
s.add_variable_group(vars);
s.precision(30);
ampconfig = amp_config_from(s);
tracker = AMPTracker(s);
stepping_pref = SteppingConfig();
newton_pref = NewtonConfig();
tracker.setup(Predictor.Euler, 1e-5, 1e5, stepping_pref, newton_pref);
tracker.precision_setup(ampconfig);
t_start = mpfr_complex(1)
t_end = mpfr_complex(0)
y_start = np.array([mpfr_complex(1), mpfr_complex(1)]);
y_end = np.array(np.zeros(shape=(s.num_variables()), dtype=np.int64),dtype=mpfr_complex);
track_success = tracker.track_path(y_end, t_start, t_end, y_start);
self.assertTrue(track_success == SuccessCode.Success)
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
self.assertLessEqual(mp.abs(y_end[1]-mpfr_complex(0)), 1e-5)
y_start = np.array([mpfr_complex(1), mpfr_complex(-1)]);
tracker.track_path(y_end, t_start, t_end, y_start);
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
self.assertLessEqual(mp.abs(y_end[1]-mpfr_complex(0)), 1e-5)
y_start = np.array([mpfr_complex(-1), mpfr_complex(-1)]);
tracker.track_path(y_end, t_start, t_end, y_start);
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
self.assertLessEqual(mp.abs(y_end[1]-mpfr_complex(0)), 1e-5)
y_start = np.array([mpfr_complex(-1), mpfr_complex(0,1)]);
track_success = tracker.track_path(y_end, t_start, t_end, y_start);
self.assertTrue(track_success == SuccessCode.Success)
self.assertEqual(y_end.shape, (s.num_variables(),))
self.assertLessEqual(mp.abs(y_end[0]-mpfr_complex(0)), 1e-5)
self.assertLessEqual(mp.abs(y_end[1]-mpfr_complex(0)), 1e-5)
def test_tracker_singular_start(self):
default_precision(30);
x = self.x; y = self.y; t = self.t;
s = System();
vars = VariableGroup();
vars.append(y); vars.append(x);
s.add_function(x**2 + (1-t)*x);
s.add_function(y**2 + (1-t)*y)
s.add_path_variable(t);
s.add_variable_group(vars);
s.precision(30);
ampconfig = amp_config_from(s);
tracker = AMPTracker(s);
stepping_pref = SteppingConfig();
newton_pref = NewtonConfig();
tracker.setup(Predictor.Euler, 1e-5, 1e5, stepping_pref, newton_pref);
tracker.precision_setup(ampconfig);
t_start = mpfr_complex(1)
t_end = mpfr_complex(0)
y_start = np.array([mpfr_complex(0), mpfr_complex(0)]);
y_end = np.empty(shape=(s.num_variables(),),dtype=mpfr_complex);
track_success = tracker.track_path(y_end, t_start, t_end, y_start);
self.assertTrue(track_success == SuccessCode.SingularStartPoint)
self.assertEqual(y_end.shape, (s.num_variables(),))
if __name__ == '__main__':
unittest.main();

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# This file is part of Bertini 2.
#
# python/test/endgame_test.py 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 3 of the License, or
# (at your option) any later version.
#
# python/test/endgame_test.py 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 python/test/endgame_test.py. If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2016-2018 by Bertini2 Development Team
#
# See <http://www.gnu.org/licenses/> for a copy of the license,
# as well as COPYING. Bertini2 is provided with permitted
# additional terms in the b2/licenses/ directory.
# individual authors of this file include:
#
# silviana amethyst
# University of Notre Dame
#
# silviana amethyst
# UWEC
# Spring 2018
#
__author__ = 'ofloveandhate'
if __name__ == '__main__':
run_tests = True
else:
run_tests = False
from pybertini import *
from pybertini.function_tree.symbol import *
from pybertini.function_tree.root import *
from pybertini.function_tree import *
from pybertini.tracking import *
from pybertini.tracking.config import *
from pybertini.endgame import *
from pybertini.endgame.config import *
import unittest
import numpy as np
import pdb
import pybertini.system.start_system as ss
import pybertini.multiprec as mp
from pybertini.multiprec import Float as mpfr_float
from pybertini.multiprec import Complex as mpfr_complex
class EndgameTest(unittest.TestCase):
def setUp(self):
self.ambient_precision = 50;
def test_using_total_degree_ss(self):
default_precision(self.ambient_precision);
x = Variable("x");
y = Variable("y");
t = Variable("t");
sys = System();
var_grp = VariableGroup();
var_grp.append(x);
var_grp.append(y);
sys.add_variable_group(var_grp);
sys.add_function((x-1)**3)
sys.add_function((y-1)**2)
sys.homogenize();
sys.auto_patch();
self.assertEqual(sys.is_patched(), 1)
self.assertEqual(sys.is_homogeneous(), 1)
td = ss.TotalDegree(sys);
self.assertEqual(td.is_patched(), 1)
self.assertEqual(td.is_homogeneous(), 1)
gamma = Rational.rand();
final_system = (1-t)*sys + gamma*t*td;
final_system.add_path_variable(t);
prec_config = AMPConfig(final_system);
stepping_pref = SteppingConfig();
newton_pref = NewtonConfig();
tracker = AMPTracker(final_system);
tracker.setup(Predictor.RK4, 1e-5, 1e5, stepping_pref, newton_pref);
tracker.precision_setup(prec_config);
num_paths_to_track = td.num_start_points();
n = int(str(num_paths_to_track)); # this line sucks, wtf.
t_start = mpfr_complex(1);
t_endgame_boundary = mpfr_complex("0.1");
t_final = mpfr_complex(0);
bdry_points = []
for i in range(n):
default_precision(self.ambient_precision);
final_system.precision(self.ambient_precision);
start_point = td.start_point_mp(i);
bdry_pt = np.array( np.zeros( (3)).astype(np.int64),dtype=mpfr_complex)
track_success_code = tracker.track_path(bdry_pt,t_start, t_endgame_boundary, start_point);
bdry_points.append(bdry_pt);
self.assertEqual(track_success_code, SuccessCode.Success)
tracker.setup(Predictor.HeunEuler, 1e-6, 1e5, stepping_pref, newton_pref);
my_endgame = AMPCauchyEG(tracker);
final_homogenized_solutions = [np.empty(dtype=mpfr_complex, shape=(3,)) for i in range(n)]
for i in range(n):
default_precision(bdry_points[i][0].precision());
final_system.precision(bdry_points[i][0].precision());
bdry_time = mpfr_complex(t_endgame_boundary)
track_success_code = my_endgame.run(bdry_time,bdry_points[i]); # should be bdry_pts[i], not XXX
final_homogenized_solutions[i] = my_endgame.final_approximation();
self.assertEqual(track_success_code, SuccessCode.Success)
dehomogenized_solns = [sys.dehomogenize_point(soln) for soln in final_homogenized_solutions]
exact_soln = np.array([1,1])
for soln in dehomogenized_solns:
assert np.sqrt(np.sum((exact_soln - soln)**2)) < 1e-10
if run_tests:
pgnm = 'this_argument_is_ignored_but_necessary'
unittest.main(argv=[pgnm], exit=False)

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# This file is part of Bertini 2.
#
# python/test/b2_class_test.py 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 3 of the License, or
# (at your option) any later version.
#
# python/test/b2_class_test.py 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 python/test/b2_class_test.py. If not, see <http://www.gnu.org/licenses/>.
#
# Copyright(C) 2016-2018 by Bertini2 Development Team
#
# See <http://www.gnu.org/licenses/> for a copy of the license,
# as well as COPYING. Bertini2 is provided with permitted
# additional terms in the b2/licenses/ directory.
# individual authors of this file include:
#
# James Collins
# West Texas A&M University
# Spring 2016
#
import tracking.amptracking_test as amptracking_test
import tracking.endgame_test as endgame_test
import unittest
mods = (amptracking_test,endgame_test)
suite = unittest.TestSuite();
for tests in mods:
thissuite = unittest.TestLoader().loadTestsFromModule(tests);
suite.addTests(thissuite)
#
unittest.TextTestRunner(verbosity=2).run(suite)