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C++代写 | CPSC 2150 – Algorithms and Data Structure II Lab9 Hash Functions

C++代写 | CPSC 2150 – Algorithms and Data Structure II Lab9 Hash Functions

C++代写数据结构完成哈希函数实现

CPSC 2150 – Algorithms and Data Structure II
Lab9: Hash Functions
__ __ Total – 40 Marks___________
Learning Outcomes
• Design and develop different hash functions
• Analyzing the Hash functions
• Program with C++
Resources
• Chapter 9 of the text book
• Chapter 10 of the reference book
• en.wikipedia.org/wiki/Hash_function#Hash_function_algorithms.
Description
In this lab you are going to test various hash functions to see how good they are, in terms of number of collisions. To investigate this, we are not saving the values into the hash table, but we only use hash table to count the number of collisions on each index of hash table. Then we can decide whether a hash function is evenly distributed or not.
Your input will be strings, in fact, all the strings that are stored in a file named keys.txt and is uploaded into D2L. You can download a copy to your local computer for testing. This file contains just under 100,000 English words, with one word per line. We are going to use it to test the uniformity of various hash functions.
Your hash functions will hash strings into 16-bit (not 32-bit) int s. In C++,
short is a 16-bit unsigned integer.
unsigned
This is important, because we’re going to keep a table of the number of collisions
for each hash value. With 16-bit int s there are only 65,536 possible hash values, so this
table will easily fit in the memory. If we used 32-bit ints then there would be
4,294,967,296 possible hashes, a more troublesome amount.
Implementation
Create a class named Hash as following:

class Hash{
public:
Hash(the parameters like input file name or hash function’s name){ //develop the body
};
// add more methods if needed…
private:
const int SIZE = int)pow(2, 16);
SIZE
// add more methods or data field if needed….
(
vector <int> hashTable(
);
}
As part of the class, implement the following hash functions:
a. [10marks]Stringlength(modulo216) b. [10 marks] First character
c. [10 marks] Additive (add all characters together), modulo 216
d. [10 marks] Remainder (it is similar to additive but uses modulo of 65413, which
is the first prime that is smaller than the table size).
e. [10 bonus marks] Any other hash schemes that has an acceptable performance. I am looking for a hash function that is perfect or close to perfect hash function for these inputs. Your function must outperform the other functions. To get some ideas have a look at:
en.wikipedia.org/wiki/Hash_function#Hash_function_algorithms.
For each of the possible hash functions your program should:
• Create a vector<int> hashes of size 65,536
• Process the list of words, and for each word, compute its hash h
• Increment the entry in the table for that hash: hashes.at(h)++
• When finished, find the largest and smallest entries in the vector, and print out the difference between them. This is our approximation for a measure of how evenly distributed the hashes are. (A better method would be to use Pearson’s chi-squared test [en.wikipedia.org/wiki/Pearson’s_chi-squared_test], but that requires numeric methods that are unfortunately not part of the C++ standard library.)
Sample output
Here is a sample output:
The difference between maximum and minimum collision on the entries of the hash table using the following hash function are:
String length: 15669
First character: 9933
Additive: 280
Remainder: 10

Your output does not have to look exactly like the sample, as long as you include the relevant information (the difference between maximum and minimum, printed after the name of the hash method).
Submit to D2L
Make a zip file named StudentNumber-lab9.zip including all related files by the end of the lab time. For example, if your student number is 10023449, the submitted file must
be named as 10023449-lab9.zip.

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