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
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
if __name__ == '__main__':
state = deepcopy(einstein.START_STATE)
rule_order = [
rule1, rule2, rule3, rule4, rule5, rule6, rule7, rule8,
rule9, rule10, rule11, rule12, rule13, rule14, rule15
]
state, iteration = solve(state, rule_order)
einstein.print_solution(state)
print '\n\nSolved: {0} on iteration {1}'.format(einstein.end_solution(state), iteration)
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
if __name__ == '__main__':
state = deepcopy(einstein.START_STATE)
rule_order = [
rule1, rule2, rule3, rule4, rule5, rule6, rule7, rule8, rule9, rule10,
rule11, rule12, rule13, rule14, rule15
]
state, iteration = solve(state, rule_order)
einstein.print_solution(state)
print '\n\nSolved: {0} on iteration {1}'.format(
einstein.end_solution(state), iteration)
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
if __name__ == '__main__':
state = deepcopy(einstein.START_STATE)
rule_order = [
rule1, rule2, rule3, rule4, rule5, rule6, rule7, rule8,
rule9, rule10, rule11, rule12, rule13, rule14, rule15
]
state, iteration = solve(state, rule_order)
einstein.print_solution(state)
print('\n\nSolved: {0} on iteration {1}'.format(einstein.end_solution(state), iteration))
