By Vivek - August 22, 2020
Search Suggestions System in Python
Given an array of strings products and a string searchWord. We want to design a system that suggests at most three product names from products after each character of searchWord is typed. Suggested products should have common prefix with the searchWord. If there are more than three products with a common prefix return the three lexicographically minimums products.
Return list of lists of the suggested products after each character of searchWord is typed.
If you want to see the prefix-tree version visually, use the Trie Visualizer or browse the full Data Structure Visualizers set.
Example 1:
Input: products = ["mobile","mouse","moneypot","monitor","mousepad"], searchWord = "mouse"
Output: [
["mobile","moneypot","monitor"],
["mobile","moneypot","monitor"],
["mouse","mousepad"],
["mouse","mousepad"],
["mouse","mousepad"]
]
Explanation:
products sorted lexicographically = ["mobile","moneypot","monitor","mouse","mousepad"]
After typing m and mo all products match and we show user ["mobile","moneypot","monitor"]
After typing mou, mous and mouse the system suggests ["mouse","mousepad"] Example 2:
Input: products = ["havana"], searchWord = "havana"
Output: [["havana"],["havana"],["havana"],["havana"],["havana"],["havana"]] Example 3:
Input: products = ["bags","baggage","banner","box","cloths"], searchWord = "bags"
Output: [["baggage","bags","banner"],["baggage","bags","banner"],["baggage","bags"],["bags"]] Example 4:
Input: products = ["havana"], searchWord = "tatiana"
Output: [[],[],[],[],[],[],[]] Constraints:
1 <= products.length <= 1000
There are no repeated elements in products.
1 <= Σ products[i].length <= 2 * 10^4
All characters of products[i] are lower-case English letters.
1 <= searchWord.length <= 1000
All characters of searchWord are lower-case English letters. Solution:
class TreeNode(object):
def __init__(self):
self.searchWords = []
self.children = {}
class Tree(object):
def __init__(self):
self.root = TreeNode()
def insert(self, word):
node = self.root
for char in word:
if char not in node.children:
node.children[char] = TreeNode()
node = node.children[char]
node.searchWords.append(word)
node.searchWords.sort()
if len(node.searchWords) > 3:
node.searchWords = node.searchWords[:3]
def search(self, word):
result, node = [], self.root
for char in word:
if char not in node.children:
break
node = node.children[char]
result.append(node.searchWords[:])
for _ in range(len(word) - len(result)):
result.append([])
return result
class Solution:
def suggestedProducts(products, searchWord):
tree = Tree()
for x in products:
tree.insert(x)
return tree.search(searchWord)
# Answer 1
products = ["mobile","mouse","moneypot","monitor", "mousepad"]
searchWord = "mouse"
print(Solution.suggestedProducts(products, searchWord))
# Answer 2
products = ["havana"]
searchWord = "havana"
print(Solution.suggestedProducts(products, searchWord))
# Answer 3
products = ["bags","baggage","banner","box","cloths"]
searchWord = "bags"
print(Solution.suggestedProducts(products, searchWord))
# Answer 4
products = ["havana"]
searchWord = "tatiana"
print(Solution.suggestedProducts(products, searchWord)) Related Posts
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