def solve(current_state, rule_order):
"""
Solve the puzzle with a list of rules
"""
iteration = 1
while not einstein.end_solution(current_state):
# Safe guard to ensure a rules are being applied
pre_rules_state = current_state
print "###### begin iteration", iteration
for rule in rule_order:
old_state = current_state
# See what changes state
current_state = rule(current_state)
if current_state != old_state: #something happened
print 'RULE {0} changed state'.format(rule.__doc__)
# see if any additional changes can be made
current_state = einstein.elimination_sweep(current_state)
# Safe guard to ensure a rules are being applied
if current_state == pre_rules_state: #nothing happened
break
iteration += 1
return current_state, iteration - 1
def solve(current_state, rule_order):
"""
Solve the puzzle with a list of rules
"""
iteration = 1
while not einstein.end_solution(current_state):
# Safe guard to ensure a rules are being applied
pre_rules_state = current_state
print "###### begin iteration", iteration
for rule in rule_order:
old_state = current_state
# See what changes state
current_state = rule(current_state)
if current_state != old_state: #something happened
print 'RULE {0} changed state'.format(rule.__doc__)
# see if any additional changes can be made
current_state = einstein.elimination_sweep(current_state)
# Safe guard to ensure a rules are being applied
if current_state == pre_rules_state: #nothing happened
break
iteration += 1
return current_state, iteration - 1
def test_elimination_sweep(self):
"""
If a set of values dwindles to just one value then the last_man_standing rule applies.
In this case officially assigning the value will correct state
"""
new_state = einstein.deepcopy(einstein.START_STATE)
new_state['1']['nationality'] = set(['norweigen'])
new_state = einstein.elimination_sweep(new_state)
self.assertNotIn('blue', new_state['2']['nationality'])
self.assertNotIn('blue', new_state['3']['nationality'])
self.assertNotIn('blue', new_state['4']['nationality'])
self.assertNotIn('blue', new_state['5']['nationality'])
### LOCK
self.assertEqual(einstein.get_position('norweigen', new_state), '1')
def test_elimination_sweep(self):
"""
If a set of values dwindles to just one value then the last_man_standing rule applies.
In this case officially assigning the value will correct state
"""
new_state = einstein.deepcopy(einstein.START_STATE)
new_state['1']['nationality'] = set(['norweigen'])
new_state = einstein.elimination_sweep(new_state)
self.assertNotIn('blue', new_state['2']['nationality'])
self.assertNotIn('blue', new_state['3']['nationality'])
self.assertNotIn('blue', new_state['4']['nationality'])
self.assertNotIn('blue', new_state['5']['nationality'])
### LOCK
self.assertEqual(einstein.get_position('norweigen', new_state), '1')
