Implement a container class Stat that stores a sequence of numbers and provides statistical information about the numbers. It supports an overloaded constructor that initializes the container either by supplying a list or by giving no arguments (which creates an empty sequence). The class also includes the methods necessary to provide the following behaviors:
>>> s = Stat()
>>> s. add(2.5)
>>> s. add(4.7)
>>> s. add(78.2)
>>> s
Stat([2.5, 4.7, 78.2])
>>> len(s)
3
>>> s. min()
2.5
>>> s. max()
78.2
>>> s. sum()
85.4
>>> s. mean()
28.46666666666667
>>> s. clear()
>>> s
Stat([])
If a Stat is empty, several (but not all) methods raise errors. Note that you won’t literally see "…". You will instead see more information on the error.
>>> s = Stat()
>>>
>>> len(s)
0
>>> s. min()
Traceback (most recent call last):
...
EmptyStatError: empty Stat does not have a min
>>> s. max()
Traceback (most recent call last):
...
hw3.EmptyStatError: empty Stat does not have a max
>>> s. mean()
Traceback (most recent call last):
...
hw3.EmptyStatError: empty Stat does not have a mean
>>> s. sum()
0

See explaination

Explanation:

Definition of Class 1:

class Stat:

def __init__(self, li):

self.li = li

def add(self, value):

self.li.append(value)

def __len__(self):

return len(self.li)

def min(self):

try:

return min(self.li)

except:

return "EmptyStatError: empty Stat does not have a min"

def max(self):

try:

return max(self.li)

except:

return "EmptyStatError: empty Stat does not have a max"

def sum(self):

return sum(self.li)

def mean(self):

try:

return float(sum(self.li))/float(len(self.li))

except:

return "EmptyStatError: empty Stat does not have a mean"

def __getitem__(self):

return self.li

def clear(self):

del self.li[:]

Definition of Class 2:

class intlist:

def __init__(self, li):

self.li = li

def append(self, value):

if type(value) == int:

self.li.append(value)

else:

print "NotIntError: Input is not an Integer."

def insert(self, index,value):

if type(value) == int:

self.li.insert(index, value)

else:

print "NotIntError: Input is not an Integer."

def extend(self, value):

i = 0

for temp in value:

if type(temp) == int:

i = i

else:

i = i+1

if i==0:

self.li.extend(value)

else:

print "NotIntError: Input is not an Integer."

def __setitem__(self, index, value):

self.insert(index, value)

def __getitem__(self, index):

return self.li[index]

def odds(self):

lis = []

for temp in self.li:

if temp%2 == 1:

lis.append(temp)

return lis

def evens(self):

lis = []

for temp in self.li:

if temp%2 == 0:

lis.append(temp)

return lis

Class 1 call:

s = Stat([])

s.add(2.5)

s.add(4.7)

s.add(78.2)

print len(s)

print s.min()

print s.max()

print s.sum()

print s.mean()

print s.li

s.clear()

print s.li

print len(s)

print s.min()

print s.max()

print s.mean()

print s.sum()

Class 2 call:

intl = intlist([])

print intl.li

intl = intlist([1,2,3])

print intl.li

intl.append(5)

print intl.li

intl.insert(1,99)

print intl.li

intl.extend([22,44,66])

print intl.li

print intl.odds()

print intl.evens()

print intl.li

intl[2] = -12

print intl[4]

answermetacognitive;