Explain shortest transformation via BFS.
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How do you solve the word ladder problem?
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Study the solution
Treat each word as a node with edges to words differing by one letter; the shortest transformation is BFS from start to end. Generate neighbors by trying every position × every letter, checking the word set. Bidirectional BFS speeds it up.
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BFS over one-letter edits
Run Playgroundfrom collections import deque
def ladder_length(begin, end, word_list):
words = set(word_list)
if end not in words:
return 0
q = deque([(begin, 1)])
seen = {begin}
while q:
word, steps = q.popleft()
if word == end:
return steps
for i in range(len(word)):
for c in 'abcdefghijklmnopqrstuvwxyz':
nxt = word[:i] + c + word[i + 1:]
if nxt in words and nxt not in seen:
seen.add(nxt)
q.append((nxt, steps + 1))
return 0
# --- demo ---
print(ladder_length('hit', 'cog', ['hot', 'dot', 'dog', 'lot', 'log', 'cog'])) # 505
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