您可以使用显示here的方法比较各种Hash
函数的质量,该方法在字典单词的哈希表中记录冲突。结果Counts
存储在Ada.Containers.Ordered_Maps
的实例中。
作为具体的例子,库Hash
功能
function Hash is new Ada.Strings.Bounded.Hash(ASB);
产生具有为的话一半以上独特散列和在最坏情况下仅七碰撞的结果:
Word count: 235886
Table size: 393241
Load factor: 59.99%
0: 215725 (0.00%)
1: 129710 (54.99%)
2: 38727 (32.84%)
3: 7768 (9.88%)
4: 1153 (1.96%)
5: 143 (0.30%)
6: 14 (0.04%)
7: 1 (0.00%)
相反,这Hash
功能
function Hash(Key : ASB.Bounded_String) return Ada.Containers.Hash_Type is
S : String := ASB.To_String(Key);
H : Ada.Containers.Hash_Type := 0;
begin
for C of S loop
H := H * 3 + Character'Pos(C);
end loop;
return H;
end;
产生具有独特的散列为不到一半的话,并且每个20次碰撞在最坏的情况下,两个不同的散列值。结果:
Word count: 235886
Table size: 393241
Load factor: 59.99%
0: 236804 (0.00%)
1: 107721 (45.67%)
2: 32247 (27.34%)
3: 9763 (12.42%)
4: 3427 (5.81%)
5: 1431 (3.03%)
6: 813 (2.07%)
7: 441 (1.31%)
8: 250 (0.85%)
9: 150 (0.57%)
10: 88 (0.37%)
11: 41 (0.19%)
12: 27 (0.14%)
13: 14 (0.08%)
14: 11 (0.07%)
15: 7 (0.04%)
16: 2 (0.01%)
17: 1 (0.01%)
19: 1 (0.01%)
20: 2 (0.02%)
一般一个使得散列表的大小的质数,以确保更均匀的分布。 – user3344003
我假设的作业,因为你被困在次优散列函数。 –