lecture 2.2 problem set 1 and 2

简介: 1 COUNTING VOWELS (10/10 分数)Assume s is a string of lower case characters.

1 COUNTING VOWELS

 
(10/10 分数)

Assume s is a string of lower case characters.Write a program that counts up the number of vowels contained in the string s. Valid vowels are: 'a', 'e', 'i', 'o', and 'u'. For example, if s = 'azcbobobegghakl', your program should print:

Number of vowels: 5

For problems such as these, do not include raw_input statements or define the variable s in any way. Our automated testing will provide a value of s for you - so the code you submit in the following box should assume s is already defined. If you are confused by this instruction, please review L4 Problems 10 and 11 before you begin this problem set.

def isVowel(char):
    v = "aeiouAEIOU"
    if char in v:
        return True
    return False

cnt = 0
for e in s:
    if(isVowel(e)):
         cnt = cnt + 1
print "Number of vowels: " + str(cnt)

2

COUNTING BOBS

 
(15 满分)

Assume s is a string of lower case characters.

Write a program that prints the number of times the string 'bob' occurs in s. For example, if s = 'azcbobobegghakl', then your program should print

Number of times bob occurs is: 2

For problems such as these, do not include raw_input statements or define the variable s in any way. Our automated testing will provide a value of s for you - so the code you submit in the following box should assume s is already defined. If you are confused by this instruction, please review L4 Problems 10 and 11 before you begin this problem set.

#s = 'azcbobobegghakl'
cnt = 0
st = 0
ed = 3

while(ed <= len(s)):
    c = s[st:ed]
    if(c == 'bob'):
        cnt = cnt + 1
    st = st + 1
    ed = ed + 1
print "Number of times bob occurs is: " + str(cnt)

3

ALPHABETICAL SUBSTRINGS

 
(15 满分)

Assume s is a string of lower case characters.

Write a program that prints the longest substring of s in which the letters occur in alphabetical order. For example, if s = 'azcbobobegghakl', then your program should print

Longest substring in alphabetical order is: beggh

In the case of ties, print the first substring. For example, if s = 'abcbcd', then your program should print

Longest substring in alphabetical order is: abc

For problems such as these, do not include raw_input statements or define the variable s in any way. Our automated testing will provide a value of s for you - so the code you submit in the following box should assume s is already defined. If you are confused by this instruction, please review L4 Problems 10 and 11 before you begin this problem set.

Note: This problem is fairly challenging. We encourage you to work smart. If you've spent more than a few hours on this problem, we suggest that you move on to a different part of the course. If you have time, come back to this problem after you've had a break and cleared your head.

#s = 'zyxwvutsrqponmlkjihgfedcba'
ans = ''
i = 0
cnt = 0
n = 0

t = s[0]
while(i < len(s)-1):
    if(s[i] < s[i+1] or s[i] == s[i+1]):
        t = t + s[i+1]
        cnt = cnt + 1
    else:
        t = s[i+1]
        cnt = 0
    if(cnt > n):
        ans = t
        n = cnt
    i = i + 1

if(n == 0):
    ans = s[0]

print "Longest substring in alphabetical order is: " + str(ans)

PROBLEM 2: PAYING DEBT OFF IN A YEAR

 
(15/15 分数)

Now write a program that calculates the minimum fixed monthly payment needed in order pay off a credit card balance within 12 months. By a fixed monthly payment, we mean a single number which does not change each month, but instead is a constant amount that will be paid each month.

In this problem, we will not be dealing with a minimum monthly payment rate.

The following variables contain values as described below:

  1. balance - the outstanding balance on the credit card

  2. annualInterestRate - annual interest rate as a decimal

The program should print out one line: the lowest monthly payment that will pay off all debt in under 1 year, for example:

Lowest Payment: 180 

Assume that the interest is compounded monthly according to the balance at the end of the month (after the payment for that month is made). The monthly payment must be a multiple of $10 and is the same for all months. Notice that it is possible for the balance to become negative using this payment scheme, which is okay. A summary of the required math is found below:

Monthly interest rate = (Annual interest rate) / 12.0
Monthly unpaid balance = (Previous balance) - (Minimum monthly payment)
Updated balance each month = (Monthly unpaid balance) + (Monthly interest rate x Monthly unpaid balance)

Test Cases to Test Your Code With. Be sure to test these on your own machine - and that you get the same output! - before running your code on this webpage!


The code you paste into the following box should not specify the values for the variables balance or annualInterestRate - our test code will define those values before testing your submission.

# Paste your code into this box
t = balance 
monthlyInterestRate = annualInterestRate / 12
monthlyPayment = 0
unpaidPayment = 0
flag = 0

for e in range(100):
    balance = t
    monthlyPayment = (e+1) * 10
    for f in range(12):
        unpaidPayment = balance - monthlyPayment
        balance = unpaidPayment + unpaidPayment * monthlyInterestRate
        if unpaidPayment <= 0:
            flag = 1

    if flag == 1 :
        break
        
print "Result Your Code Should Generate:"
print "-------------------"
print "Lowest Payment: " + str(monthlyPayment)

5

PROBLEM 3: USING BISECTION SEARCH TO MAKE THE PROGRAM FASTER

(25/25 分数)

You'll notice that in Problem 2, your monthly payment had to be a multiple of $10. Why did we make it that way? You can try running your code locally so that the payment can be any dollar and cent amount (in other words, the monthly payment is a multiple of $0.01). Does your code still work? It should, but you may notice that your code runs more slowly, especially in cases with very large balances and interest rates. (Note: when your code is running on our servers, there are limits on the amount of computing time each submission is allowed, so your observations from running this experiment on the grading system might be limited to an error message complaining about too much time taken.)

Well then, how can we calculate a more accurate fixed monthly payment than we did in Problem 2 without running into the problem of slow code? We can make this program run faster using a technique introduced in lecture - bisection search!

The following variables contain values as described below:

  1. balance - the outstanding balance on the credit card

  2. annualInterestRate - annual interest rate as a decimal

To recap the problem: we are searching for the smallest monthly payment such that we can pay off the entire balance within a year. What is a reasonable lower bound for this payment value? $0 is the obvious anwer, but you can do better than that. If there was no interest, the debt can be paid off by monthly payments of one-twelfth of the original balance, so we must pay at least this much every month. One-twelfth of the original balance is a good lower bound.

What is a good upper bound? Imagine that instead of paying monthly, we paid off the entire balance at the end of the year. What we ultimately pay must be greater than what we would've paid in monthly installments, because the interest was compounded on the balance we didn't pay off each month. So a good upper bound for the monthly payment would be one-twelfth of the balance, after having its interest compounded monthly for an entire year.

In short:

Monthly interest rate = (Annual interest rate) / 12.0
Monthly payment lower bound = Balance / 12
Monthly payment upper bound = (Balance x (1 + Monthly interest rate)12) / 12.0

Write a program that uses these bounds and bisection search (for more info check out the Wikipedia page on bisection search) to find the smallest monthly payment to the cent(no more multiples of $10) such that we can pay off the debt within a year. Try it out with large inputs, and notice how fast it is (try the same large inputs in your solution to Problem 2 to compare!). Produce the same return value as you did in Problem 2.

Note that if you do not use bisection search, your code will not run - your code only has 30 seconds to run on our servers.

Test Cases to Test Your Code With. Be sure to test these on your own machine - and that you get the same output! - before running your code on this webpage!


The code you paste into the following box should not specify the values for the variables balance or annualInterestRate - our test code will define those values before testing your submission.

# Paste your code into this box
monthlyInterestRate = annualInterestRate / 12.0
monthlyPaymentLowerBound = balance / 12
monthlyPayMentUpperBound = (balance * (1 + monthlyInterestRate)**12 ) / 12.0

t = balance
flag = 1
unpaidPayment = t

while flag:
	unpaidPayment = t
	monthlyPayment = (monthlyPaymentLowerBound + monthlyPayMentUpperBound) / 2
	for e in range(12):
		unpaidPayment = unpaidPayment - monthlyPayment
		unpaidPayment = unpaidPayment * (1+monthlyInterestRate)
		if e == 11:
			if abs(unpaidPayment) <= 0.01:
				flag = 0
			elif unpaidPayment > 0.01:
				monthlyPaymentLowerBound = monthlyPayment
			elif unpaidPayment < 0.01:
				monthlyPayMentUpperBound = monthlyPayment



print "Result Your Code Should Generate:"
print "-------------------"
print "Lowest Payment: " + str(round(monthlyPayment,2))


目录
相关文章
|
机器学习/深度学习 编解码 人工智能
Reading Notes: Human-Computer Interaction System: A Survey of Talking-Head Generation
由于人工智能的快速发展,虚拟人被广泛应用于各种行业,包括个人辅助、智能客户服务和在线教育。拟人化的数字人可以快速与人接触,并在人机交互中增强用户体验。因此,我们设计了人机交互系统框架,包括语音识别、文本到语音、对话系统和虚拟人生成。接下来,我们通过虚拟人深度生成框架对Talking-Head Generation视频生成模型进行了分类。同时,我们系统地回顾了过去五年来在有声头部视频生成方面的技术进步和趋势,强调了关键工作并总结了数据集。 对于有关于Talking-Head Generation的方法,这是一篇比较好的综述,我想着整理一下里面比较重要的部分,大概了解近几年对虚拟人工作的一些发展和
|
11月前
The Preliminary Contest for ICPC China Nanchang National Invitational A题 PERFECT NUMBER PROBLEM
The Preliminary Contest for ICPC China Nanchang National Invitational A题 PERFECT NUMBER PROBLEM
50 0
Data Structures and Algorithms (English) - 7-10 Saving James Bond - Easy Version(25 分)
Data Structures and Algorithms (English) - 7-10 Saving James Bond - Easy Version(25 分)
67 0
PAT (Advanced Level) Practice - 1096 Consecutive Factors(20 分)
PAT (Advanced Level) Practice - 1096 Consecutive Factors(20 分)
116 0
PAT (Advanced Level) Practice - 1087 All Roads Lead to Rome(30 分)
PAT (Advanced Level) Practice - 1087 All Roads Lead to Rome(30 分)
76 0
|
Java
HDU - 2018 Multi-University Training Contest 1 - 1001: Maximum Multiple
HDU - 2018 Multi-University Training Contest 1 - 1001: Maximum Multiple
71 0
lecture 3.2 problem set 3
"Radioactive decay" is the process by which an unstable atom loses energy and emits ionizing particles - what is commonly refered to as radiation.
1093 0
|
数据库
When Tech Meets Love – Smarter Ways to NOT be Single
It’s that time of year again. Single’s Day (a.k.a Double 11) is just around the corner, people buying gifts for loved ones.
1585 0
When Tech Meets Love – Smarter Ways to NOT be Single