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dfa minimization Step 1 : Remove unreachable states. Step 2 : Mark the distinguishable pairs of states. To achieve this task, we first mark all

dfa minimization
Step 1: Remove unreachable states.
Step 2: Mark the distinguishable pairs of states.
To achieve this task, we first mark all pairs p, q, where p2F and qZF as distinguishable. Then, we proceed as follows:
repeat
for all non - marked pairs p, q do
for each letter a do
if the pair (p, a),(q, a) is marked
then mark p, q
until no new pairs are marked
Step 3: Construct the reduced automaton A.
implement dfa minimization with python from scratch with no other library simple function and no ambugity
def remove_unreachable_states(states, alphabet, transitions, initial_state, accepting_states):
reachable_states = set()
stack =[initial_state]
while stack:
current_state = stack.pop()
reachable_states.add(current_state)
for letter in alphabet:
next_state = transitions.get((current_state, letter), None)
if next_state is not None and next_state not in reachable_states:
stack.append(next_state)
unreachable_states = set(states)- reachable_states
for state in unreachable_states:
states.remove(state)
accepting_states.discard(state)
for letter in alphabet:
transitions.pop((state, letter), None)
def mark_distinguishable_pairs(states, alphabet, transitions, accepting_states):
marked_pairs = set()
for i, state1 in enumerate(states):
for state2 in states[i +1:]:
if (state1 in accepting_states and state2 not in accepting_states) or (state2 in accepting_states and state1 not in accepting_states):
marked_pairs.add((state1, state2))
changed = True
while changed:
changed = False
for state1 in states:
for state2 in states:
if (state1, state2) not in marked_pairs and (state2, state1) not in marked_pairs:
for letter in alphabet:
next_state1= transitions.get((state1, letter), None)
next_state2= transitions.get((state2, letter), None)
if (next_state1, next_state2) in marked_pairs or (next_state2, next_state1) in marked_pairs:
marked_pairs.add((state1, state2))
changed = True
return marked_pairs
def minimize_dfa(states, alphabet, transitions, initial_state, accepting_states):
remove_unreachable_states(states, alphabet, transitions, initial_state, accepting_states)
marked_pairs = mark_distinguishable_pairs(states, alphabet, transitions, accepting_states)
while marked_pairs:
state1, state2= marked_pairs.pop()
for letter in alphabet:
next_state1= transitions.pop((state1, letter), None)
next_state2= transitions.pop((state2, letter), None)
if next_state1 is not None and next_state2 is not None:
new_state = min(next_state1, next_state2), max(next_state1, next_state2)
transitions[(state1, letter)]= new_state
transitions[(state2, letter)]= new_state
if state1 in accepting_states and state2 not in accepting_states:
accepting_states.remove(state1)
elif state2 in accepting_states and state1 not in accepting_states:
accepting_states.remove(state2)
remove_unreachable_states(states, alphabet, transitions, initial_state, accepting_states)
marked_pairs = mark_distinguishable_pairs(states, alphabet, transitions, accepting_states)
return states, alphabet, transitions, initial_state, accepting_states
# Example usage:
states ={0,1,2}
alphabet ={'a','b'}
transitions ={(0,'a'): 1,(0,'b'): 2,(1,'a'): 1,(1,'b'): 2,(2,'a'): 0,(2,'b'): 1}
initial_state =0
accepting_states ={1}
minimized_dfa = minimize_dfa(states, alphabet, transitions, initial_state, accepting_states)
print(minimized_dfa)
line 25, in mark_distinguishable_pairs
for state2 in states[i +1:]:
TypeError: 'set' object is not subscriptable
fix the error please

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