Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

#ifndef HASH_TABLE #define HASH_TABLE #include // for use of size_t #include // for use of ostream class HashTable { public: typedef size_t size_type; static const

image text in transcribed

#ifndef HASH_TABLE #define HASH_TABLE

#include // for use of size_t #include // for use of ostream

class HashTable { public: typedef size_t size_type; static const size_type INIT_CAP = 101; // default | 1-argument constructor HashTable(size_type initial_capacity = INIT_CAP); ~HashTable(); size_type cap() const; size_type size() const; bool exists(const char* cStr) const; bool search(const char* cStr) const; double load_factor() const; void scat_plot(std::ostream& out) const; void grading_helper_print(std::ostream& out) const; void insert(const char* cStr); private: struct Item { char word[101]; // for holding a C-string (null-terminated) }; Item* data; size_type capacity; // hash table capacity size_type used; // # of hash table elements used (non-vacant) size_type hash(const char* word) const; void rehash();

// disable copy construction & copy assignment HashTable(const HashTable& src) { } void operator=(const HashTable& rhs) { } };

// non-member utility functions bool is_prime(HashTable::size_type num); HashTable::size_type next_prime(HashTable::size_type x);

#endif

//.cpp

#include "HashTable.h"

#include // for use of setw

#include

#include

using namespace std;

// a new hash table whose capacity is the prime number closest to

// and greater that 2 times the capacity of the old hash table

// replaces the old hash table and all items from the old hash table

// are rehashed (re-inserted) into the new hash table

// (the old hash table is discarded - memory returned to heap)

// (HINT: put next_prime and insert to good use)

void HashTable::rehash()

{

int OldCapacity = capacity;

capacity = capacity * 2 + 1; //set new capacity

Item* newHashTable = new Item[capacity]; //create a temporary table to hold info

for (int i = 0; i

{

;

}

const Item* n;

//fill in the new temp table with old info

// returns true if cStr already exists in the hash table,

// otherwise returns false

bool HashTable::exists(const char* cStr) const

{

for (size_type i = 0; i

if ( ! strcmp(data[i].word, cStr) ) return true;

return false;

}

// returns true if cStr can be found in the hash table

// (MUST use hashing technique, NOT doing a linear search

// like what is done in exists above),

// otherwise return false

// CAUTION: major penalty if not using hashing technique

bool HashTable::search(const char* cStr) const

{

for (int i = 0; i

{

if ( table[i].word && table[i].word == cStr)

{

return true;

}

}

return false;

}

// returns load-factor calculated as a fraction

double HashTable::load_factor() const

{ return double(used) / capacity; }

// returns hash value computed using the djb2 hash algorithm

// (2nd page of Lecture Note 324s02AdditionalNotesOnHashFunctions)

HashTable::size_type HashTable::hash(const char* word) const

{

unsigned long hash = 5381;

int c;

while (c = *str++) hash = ((hash

// hash*33 + c

return hash;

}

// constructs an empty initial hash table

HashTable::HashTable(size_type initial_capacity)

: capacity(initial_capacity), used(0)

{

if (capacity

capacity = next_prime(INIT_CAP);

else if ( ! is_prime(capacity))

capacity = next_prime(capacity);

data = new Item[capacity];

for (size_type i = 0; i

strcpy(data[i].word, "");

}

// returns dynamic memory used by the hash table to heap

HashTable::~HashTable() { delete [] data; }

// returns the hash table's current capacity

HashTable::size_type HashTable::cap() const

{ return capacity; }

// returns the # of hash-table slots currently in use (non-vacant)

HashTable::size_type HashTable::size() const

{ return used; }

// graphs a horizontal histogram that gives a decent idea of how

// items are distributed over the hash table

void HashTable::scat_plot(ostream& out) const

{

out

size_type lo_index = 0,

hi_index = capacity - 1,

width;

if (capacity >= 100000)

width = capacity / 250;

else if (capacity >= 10000)

width = capacity / 25;

else

width = capacity / 10;

size_type max_digits = size_type( floor( log10(hi_index) ) + 1 ),

label_beg = lo_index,

label_end = label_beg + width - 1;

for(label_beg = lo_index; label_beg

{

out

if( label_end > hi_index)

out

else

out

size_type i = label_beg;

while ( i

{

if (data[i].word[0] != '\0')

out

++i;

}

label_end = label_end + width;

}

out

}

// dumping to out contents of "segment of slots" of the hash table

void HashTable::grading_helper_print(ostream& out) const

{

out

for (size_type i = 10; i

out

}

// cStr (assumed to be currently non-existant in the hash table)

// is inserted into the hash table, using the djb2 hash function

// and quadratic probing for collision resolution

// (if the insertion results in the load-factor exceeding 0.45,

// rehash is called to bring down the load-factor)

void HashTable::insert(const char* cStr)

{

int position = Find(cStr, data);

data[position].word = key;

}

// adaption of : http://stackoverflow.com/questions/4475996

// (Howard Hinnant, Implementation 5)

// returns true if a given non-negative # is prime

// otherwise returns false

// making use of following:

// if a # is not divisible by 2 or by 3, then

// it is of the form 6k+1 or of the form 6k+5

bool is_prime(HashTable::size_type x)

{

if (x

if (x == 4 || x == 6) return false;

HashTable::size_type inc = 4;

for (HashTable::size_type i = 5; true; i += inc)

{

HashTable::size_type q = x / i;

if (q

return true;

if (x == q * i)

return false;

inc ^= 6;

}

return true;

}

// adaption of : http://stackoverflow.com/questions/4475996

// (Howard Hinnant, Implementation 5)

// returns the smallest prime that is >= x

HashTable::size_type next_prime(HashTable::size_type x)

{

switch (x)

{

case 0:

case 1:

case 2:

return 2;

case 3:

return 3;

case 4:

case 5:

return 5;

}

HashTable::size_type k = x / 6;

HashTable::size_type i = x - 6 * k;

HashTable::size_type inc = i

x = 6 * k + inc;

for (i = (3 + inc) / 2; !is_prime(x); x += i)

i ^= 6;

return x;

}

Need help with the Rehash() function cannot get it to work.

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image

Step: 3

blur-text-image

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

More Books

Students also viewed these Databases questions

Question

How do you minimize requirements?

Answered: 1 week ago