def test_run5(self):
(gen_ct, initial_pop, final_pop, custom_data) = self.sim.run()
assert (fastfuncs.pop_equals(final_pop, np.array((0., 1.)), self.sim.effective_zero) or\
fastfuncs.pop_equals(initial_pop, np.array((1., 0.)), self.sim.effective_zero)), "Final population was unexpected: {0} from {1} -> {2}".format(final_pop,
initial_pop,
self.sim._step_generation(initial_pop))
assert gen_ct >= 1
assert_equal(len(initial_pop), len(self.sim.types))
assert_equal(self.sim.result_data, "test")
assert_equal(custom_data, "test")
def test_run6(self):
(gen_ct, initial_pop, final_pop, custom_data) = self.sim.run()
assert not (
fastfuncs.pop_equals(final_pop, np.array((0.0, 1.0)), self.sim.effective_zero)
or fastfuncs.pop_equals(initial_pop, np.array((1.0, 0.0)), self.sim.effective_zero)
), "Final population was unexpected: {0} from {1} -> {2}".format(
final_pop, initial_pop, self.sim._step_generation(initial_pop)
)
assert_equal(gen_ct, 1)
assert_equal(len(initial_pop), len(self.sim.types))
assert_equal(self.sim.result_data, "test2")
assert_equal(custom_data, "test2")
assert_equal(self.sim.force_stop, True)
def test_run(self):
(gen_ct, initial_pop, final_pop, custom_data) = self.sim.run()
assert fastfuncs.pop_equals(final_pop, np.array(((0., 1.), (0., 1.))), self.sim.effective_zero), "Final population was instead {0}".format(final_pop)
assert gen_ct >= 1
assert_equal(len(initial_pop), len(self.sim.types))
assert_equal(self.sim.result_data, "test")
assert_equal(custom_data, "test")
def test_run2(self):
(gen_ct, initial_pop, final_pop, custom_data) = self.sim.run()
assert fastfuncs.pop_equals(
final_pop, np.array((0.0, 1.0)), self.sim.effective_zero
), "Final population was unexpected: {0} from {1} -> {2}".format(
final_pop, initial_pop, self.sim._step_generation(initial_pop)
)
assert gen_ct >= 1
assert_equal(len(initial_pop), len(self.sim.types))
def test_run4(self):
self.sim.is_running = True
self.sim.emit("run", self.sim)
(gen_ct, initial_pop, final_pop, custom_data) = self.sim._run(
np.array((1.0 - 2.0 * self.sim.effective_zero, 2.0 * self.sim.effective_zero), dtype=np.float64)
)
self.sim.emit("done", self.sim)
assert fastfuncs.pop_equals(
final_pop, np.array((0.0, 1.0)), self.sim.effective_zero
), "Final population was unexpected: {0}".format(final_pop)
assert gen_ct >= 1
assert_equal(len(initial_pop), len(self.sim.types))
def test_run4(self):
self.sim.is_running = True
self.sim.emit('run', self.sim)
(gen_ct, initial_pop, final_pop, custom_data) = self.sim._run(
np.array((1. - 2. * self.sim.effective_zero,
2. * self.sim.effective_zero),
dtype=np.float64))
self.sim.emit('done', self.sim)
assert fastfuncs.pop_equals(
final_pop, np.array((0., 1.)), self.sim.effective_zero
), "Final population was unexpected: {0}".format(final_pop)
assert gen_ct >= 1
assert_equal(len(initial_pop), len(self.sim.types))
def test_pop_equals(self):
# try:
assert fastfuncs.pop_equals(
np.array((1.0, 0.0)), np.array((1.0, self.sim.effective_zero / 10.0)), self.sim.effective_zero
)
def test_pop_equals(self):
#try:
assert fastfuncs.pop_equals(
np.array((1., 0.)), np.array((1., self.sim.effective_zero / 10.)),
self.sim.effective_zero)
def test_run(self):
(gen_ct, initial_pop, final_pop, custom_data) = self.sim.run()
assert not fastfuncs.pop_equals(final_pop, np.array(((0., 1., 0.), (0., 1., 0.), (0., 0., 1.))), self.sim.effective_zero), "Final population was {0}".format(final_pop)
assert gen_ct > 1
assert_equal(len(initial_pop), len(self.sim.types))
assert_equal(self.sim.force_stop, False)
def test_pop_equals(self):
#try:
assert fastfuncs.pop_equals
assert fastfuncs.pop_equals(np.array(((1., 0.), (1., 0.)), dtype=np.float64), np.array(((1., self.sim.effective_zero / 10.), (1., self.sim.effective_zero / 10.)), dtype=np.float64), self.sim.effective_zero)
