leetcode/0817_design-hashmap/python3/solution.py

62 lines
1.6 KiB
Python

# Time: O(N / K) ; N is num of all keys and K is num of predefined buckets
# Space: O(K + M) ; K is num of predefined buckets and M is no. of unique
# keys inserted
from collections import deque
class MyHashMap:
def __init__(self):
# TODO: Better hash function and better initial capacity needed
# Maybe initial capacity can even be passed as an option?
self.store = [Bucket()] * 997
def put(self, key: int, value: int) -> None:
i = self._hash(key)
self.store[i].upsert(key, value)
def get(self, key: int) -> int:
i = self._hash(key)
pair = self.store[i].get_pair(key)
return pair[1] if pair else -1
def remove(self, key: int) -> None:
i = self._hash(key)
return self.store[i].remove(key)
def _hash(self, key: int):
# TODO: Note down better hash functions
return key % 997
class Bucket:
def __init__(self):
self.d = deque()
def upsert(self, key, value):
pair = self.get_pair(key)
if pair is not None:
pair[1] = value
else:
self.d.append([key, value])
def get_pair(self, key):
for item in self.d:
if item[0] == key:
return item
def remove(self, key):
item = self.get_pair(key)
if item is not None:
self.d.remove(item)
# Your MyHashMap object will be instantiated and called as such:
# obj = MyHashMap()
# obj.put(key,value)
# param_2 = obj.get(key)
# obj.remove(key)