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AlienRhyme.py
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class TrieNode(object):
"""
Our trie node implementation. Very basic. but does the job
"""
def __init__(self, char):
self.char = char
self.children = []
# Is it the last character of the word.`
self.word_finished = False
# How many times this character appeared in the addition process
self.counter = 1
def __str__(self):
return self.char + str(self.counter) + '_' + ','.join([str(child) for child in self.children])
def add(root, word):
"""
Adding a word in the trie structure
"""
node = root
for char in word:
found_in_child = False
# Search for the character in the children of the present `node`
for child in node.children:
if child.char == char:
# We found it, increase the counter by 1 to keep track that another
# word has it as well
child.counter += 1
# And point the node to the child that contains this char
node = child
found_in_child = True
break
# We did not find it so add a new chlid
if not found_in_child:
new_node = TrieNode(char)
node.children.append(new_node)
# And then point node to the new child
node = new_node
# Everything finished. Mark it as the end of a word.
node.word_finished = True
def find_prefix(root, prefix):
"""
Check and return
1. If the prefix exists in any of the words we added so far
2. If yes then how may words actually have the prefix
"""
node = root
# If the root node has no children, then return False.
# Because it means we are trying to search in an empty trie
if not root.children:
return False, 0
for char in prefix:
char_not_found = True
# Search through all the children of the present `node`
for child in node.children:
if child.char == char:
# We found the char existing in the child.
char_not_found = False
# Assign node as the child containing the char and break
node = child
break
# Return False anyway when we did not find a char.
if char_not_found:
return False, 0
# Well, we are here means we have found the prefix. Return true to indicate that
# And also the counter of the last node. This indicates how many words have this
# prefix
return True, node.counter
def remove_1_nodes(root):
idx_to_remove = []
for idx in range(len(root.children)):
if root.children[idx].counter == 1:
idx_to_remove.append(idx)
else:
root.children[idx] = remove_1_nodes(root.children[idx])
for idx in reversed(idx_to_remove):
root.children.pop(idx)
return root
def find_number_of_pairs(root):
if len(root.children) == 0:
return 2
n_of_pairs_in_children = sum([find_number_of_pairs(child) for child in root.children])
if root.counter - n_of_pairs_in_children >= 2:
return 2 + n_of_pairs_in_children
else:
return n_of_pairs_in_children
def construct_tree(words):
root = TrieNode('*')
for w in words:
add(root, reversed(w))
root = remove_1_nodes(root)
return root
T = int(input())
for i in range(1, T + 1):
N = int(input().strip())
words = [input() for _ in range(N)]
root = construct_tree(words)
n_pairs = sum([find_number_of_pairs(child) for child in root.children])
print('Case #{}: {}'.format(i, n_pairs))