Implement these in Python 3 preferably.
![Task: Implement the following algorithms to solve the Stock Span Problem using the ADT for a Stack in ython. The implementation of the ADT of a Stack (10 points) Implementation of computeSpans1 (20 points) Implementation of computeSpan2 (30 points) Provide the derived computational complexity of both computeSpans1 and computeSpans2 (40 points) Algorithm computeSpans1 (P) Input: an n-element list P of numbers such that P[i] is the prices of the stock on day I Output: an n-element list s of numbers such that S[i] is the span of the stock on day I for i ← 0 to n-1 do k←0; done ← false while (k<=1) or not done if P[1-k] P[i] k← then true <= k+1 else done return S Algorithm computeSpans2 (P) Input: an n-element list P of numbers such that P[i] is the prices of the stock on day I Output: an n-element list s of numbers such that S[i] is the span of the stock on day I Let D be an empty stack for i ← 0 to n-1 do h←0; done ← false while not (D.isEmpty ) or done) do if P[ǐ] then >= P[D.top ( )] else done ← true D.pop ( ) if D.isEmpty() then h←-1 else h< D . top ( ) D.push (i) return S](http://img.homeworklib.com/questions/c8731a10-789f-11eb-8d63-57dfe505cba2.png?x-oss-process=image/resize,w_560)
computeSpans1.py
-------------------------------------------------------------
import time
def computeSpans1(P):
S = []
start = time.time()
for i in range(len(P)):
k = 0
done = False
while (k<=i) and not
done:
if (P[i-k] <= P[i]):
k = k+1
else:
done = True
S.append(k)
end = time.time()
return S, end
P=[4,3,1,2,1,3,7]
S=computeSpans1(P)
print(S)
----------------------------------------------------------
computeSpans2.py
-----------------------------------
from Stack2 import *
import time
def computeSpans2(P):
S = []
D = Stack()
start = time.time()
for i in range(len(P)):
h = 0
done = False
while not (D.is_empty()
or done):
if P[i] >= P[D.peek()]:
D.pop()
else:
done = True
if D.is_empty():
h = -1
else:
h = D.peek()
S.append(i - h)
D.push(i)
end = time.time()
return S, end
prices = [4, 3, 1, 2, 1, 3, 7]
print(computeSpans2(prices))
-----------------------------------------------------------
Stack.py
----------------------------------
class Stack:
def __init__(self):
self.items = []
def is_empty(self):
if not self.items:
return True
else:
return False
def push(self, items):
self.items.append(items)
def pop(self):
return
self.items.pop()
def peek(self):
return
self.items[len(self.items) - 1]
def size(self):
return
len(self.items)




Implement these in Python 3 preferably. Task: Implement the following algorithms to solve the Stock Span...
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The
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thr language is python
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**TStack.py below**
# CMPT 145: Linear ADTs
# Defines the Stack ADT
#
# A stack (also called a pushdown or LIFO stack) is a compound
# data structure in which the data values are ordered according
# to the LIFO (last-in first-out) protocol.
#
# Implementation:
# This implementation was designed to point out when ADT operations are
# used incorrectly.
def create():
"""
Purpose
creates an empty stack
Return
an empty stack
"""
return '__Stack__',list()
def is_empty(stack):
"""...
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d) A Python variable can have the value
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a) Syntax error
b) Runtime error
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