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trie.py
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class TrieNode:
# Trie node class
def __init__(self):
self.children = [None] * 26
# isEndOfWord is True if node represent the end of the word
self.isEndOfWord = False
class Trie:
# Trie data structure class
def __init__(self):
self.root = self.getNode()
@staticmethod
def getNode():
# Returns new trie node (initialized to NULLs)
return TrieNode()
@staticmethod
def _charToIndex(ch):
# private helper function
# Converts key current character into index
# use only 'a' through 'z' and lower case
return ord(ch) - ord("a")
def insert(self, key):
# If not present, inserts key into trie
# If the key is prefix of trie node,
# just marks leaf node
pCrawl = self.root
length = len(key)
for level in range(length):
index = self._charToIndex(key[level])
# if current character is not present
if not pCrawl.children[index]:
pCrawl.children[index] = self.getNode()
pCrawl = pCrawl.children[index]
# mark last node as leaf
pCrawl.isEndOfWord = True
def search(self, key):
# Search key in the trie
# Returns true if key presents
# in trie, else false
pCrawl = self.root
length = len(key)
for level in range(length):
index = self._charToIndex(key[level])
if not pCrawl.children[index]:
return False
pCrawl = pCrawl.children[index]
return pCrawl is not None and pCrawl.isEndOfWord
# driver function
if __name__ == "__main__":
# Input keys (use only 'a' through 'z' and lower case)
keys = ["the", "a", "there", "anaswe", "any", "by", "their"]
output = ["Not present in trie", "Present in trie"]
# Trie object
t = Trie()
# Construct trie
for key in keys:
t.insert(key)
# Search for different keys
print("{} ---- {}".format("the", output[t.search("the")]))
print("{} ---- {}".format("these", output[t.search("these")]))
print("{} ---- {}".format("their", output[t.search("their")]))
print("{} ---- {}".format("thaw", output[t.search("thaw")]))