Provided below is the implementation of the hashtable data structure we went over together in class. You are to implement the rehash method, which will be called with a new size for the internal buckets array. rehash will create a new buckets array, copy all the key/value pairs from the old buckets array into the new one, using linked list chains as before to support collisions, then switch to using the new buckets array. rehash should run in O(N) time, where N is the number of key/value pairs,. Your implementation of rehash should not make use of any other hashtable or list methods (other than those demonstrated in __setitem__ and __getitem__). Note that the first and last lines of rehash are given; you should not alter them.

numBuckets = 47

def create():

global numBuckets

hSet = []

for i in range(numBuckets):

hSet.append([])

# print "[XYZ]: create() hSet: ", hSet, " type(hSet): ",type(hSet)

return hSet

def hashElem(e):

global numBuckets

return e % numBuckets

def insert(hSet,i):

hSet[hashElem(i)].append(i)

# print "[XYZ]: insert() hSet: ", hSet, " type(hSet): ",type(hSet)

def remove(hSet,i):

newBucket = []

for j in hSet[hashElem(i)]:

if j != i:

newBucket.append(j)

hSet[hashElem(i)] = newBucket

print "[XYZ]: remove() i: ", i," hashElem[i]: ", hashElem(i), " hSet[hashElem(i): ", hSet[hashElem(i)]

def member(hSet,i):

return i in hSet[hashElem(i)]

def testOne():

s = create()

for i in range(40):

insert(s,i)

print "[XYZ]: S: ", s

insert(s,325)

insert(s,325)

insert(s,9898900067)

print "[XYZ]: S: ", s

print "[XYZ]: ,member(s,325): ",member(s,325)

remove(s,325)

print "[XYZ]: After Remove, member(s,325): ",member(s,325)

print "[XYZ]: member(s,9898900067)",member(s,9898900067)

testOne()

b. related objects

explanation:

data is stored in related objects in an access database.