Recursive Insertion Sort Help Requried - Python - python

I have been stuck on this problem for quite awhile now. I am just learning how to code and recursive statements just do not make much sense to me. In my programming class, I was told to make a recursive insertion sort program, and I did, but it will not be accepted because I do not know what the function is doing and how it is changing the list so that it is sorted. So I have two questions that I'll address separately with pretty much the exact same code.
The first question I have about my code is, as mentioned before, how does it work?
numList = [2,4,1,3,5]
def insertionSort(i, numList):
if i > 0:
insertionSort(i-1, numList)
if numList[i] < numList[i-1]:
numList[i], numList[i-1] = numList[i-1],numList[i]
insertionSort(i-1, numList)
insertionSort(4,numList)
print(numList)
I'm calling the function twice and I have no clue why that works. I would think the call the the function before the if statement would have it work, but it does not.
And that leads me into my other question.
How would I make this code:
numList = [2,4,1,3,5]
def insertionSort(i, numList):
if i > 0:
insertionSort(i-1, numList)
if numList[i] < numList[i-1]:
numList[i], numList[i-1] = numList[i-1],numList[i]
insertionSort(4,numList)
print(numList)
work?
My professor said that the code is basically there but there is something that I need to either change or add in order for it to work correctly.
Thank you.

Related

Python - Function not updating

I've been facing strange results in a numerical problem I've been working on and since I started to program in python recently, I would like to see if you can help me.
Basically, the program has a function that is minimized for different values in a nested loop. I'll skip the details of the function for simplicity but I checked it several times and it is working correctly. Basically, the code looks like that:
def function(mins,args):
#I'll skip those details for simplicity
return #Value
ranges = ((0+np.pi/100),(np.pi/2-np.pi/100),np.pi/100)
while Ri[0] < R:
Ri[1] = 0; Ri[n-1] = R-(sum(Ri)-Ri[n-1])
while Ri[1] < (R-Ri[0]):
res = opt.brute(function, ranges, args=[args], finish=None)
F = function(res,args)
print(f'F = {F}')
Ri[1] += dR
Ri[2] = R-(sum(Ri)-Ri[n-1])
Ri[0] += dR
So, ignoring the Ri[] meaning in the loop (which is a variable of the function), for every increment in Ri[] the program makes a minimization of mins by the scipy.optimize.brute obtaining res as the answer, then it should run the function with this answer and print the result F. The problem is that it always get the same answer, no matter what the parameters I get in the minimization (which is working fine, I checked). It's strange because if I get the values from the minimization (which is an n-sized array, being n an input) and create a new program to run the same function and just get the result of the function, it returns me the right answer.
Anyone can give me a hint why I'm getting this? If I didn't make myself clear please tell and I could provide more details about the function and variables. Thanks in advance!

Is there a difference between these codes?

I am a beginner in coding and I've been learning python just lately.
I tried to do some recursion exercises, my codes run most of the time but there is one thing that is worrying me.
My code is always longer than the one in the solution.
Take this exercise for example
(Write a Python program to get the sum of a non-negative integer.Test Data:sumDigits(345) -> 12sumDigits(45) -> 9)
My answer is this
def sum_num(n,sum1=0):
k=int(n)
if k%10==k:
return sum1+k
else:
sum1+=k%10
k=k//10
return(sum_num(k,sum1))
print(sum_num(2384))
and the solution is this
def sumDigits(n):
if n == 0:
return 0
else:
return n % 10 + sumDigits(int(n / 10))
print(sumDigits(345))
print(sumDigits(45))
print(sumDigits(345))
print(sumDigits(45))
My code run perfectly but it's just longer. My question is 'is it okay to have a long code, if not how can I learn to shorten it'.
Thank you
Well, writing shorter and cleaner code is good practice because when you have long code thats hard to read its going to be harder for you and especially oher people to work with it, and troubleshooting can be really difficult. Think simple and try to write it as clean as it could possibly be. There isnt really a way to LEARN it but practice and studying and just trying to think simple should help.

Having some problems with Project Euler 31

I've been working on solving Problem 31 from Project Euler. I'm almost finished, but my code is giving me what I know is the wrong answer. My dad showed the right answer, and mine is giving me something completely wrong.
coins = (1,2,5,10,20,50,100,200)
amount = 200
def ways(target, avc):
target = amount
if avc <= 1:
return 1
res = 0
while target >= 0:
res = res + ways(target, avc-1)
target = target - coins[avc]
return res
print(ways(amount, 7))
This is the answer I get.
284130
The answer is supposed to 73682.
EDIT: Thank you to everyone who answered my question. Thanks to all of you, I have figured it out!
I see several ways how you can improve the way you're working on problems:
Copy the task description into your source code. This will make you more independent from Internet resources. That allows you to work offline. Even if the page is down or disappears completely, it will enable someone else understanding what problem you're trying to solve.
Use an IDE that does proper syntax highlighting and gives you hints what might be wrong with your code. The IDE will tell you what #aronquemarr mentioned in the comments:
There's also a thing called magic numbers. Many of the numbers in your code can be explained, but why do you start with an avc of 7?. Where does that number come from? 7 does not occur in the problem description.
Use better naming, so you understand better what your code does. What does avc stand for? If you think it's available_coins, that's not correct. There are 8 different coins, not 7.
If it still does not work, reduce the problem to a simpler one. Start with the most simple one you can think of, e.g. make only 1 type of coin available and set the amount to 2 cent. There should only be 1 solution.
To make sure this simple result will never break, introduce an assertion or unit test. They will help you when you change the code to work with larger datasets. They will also change the way you write code. In your case you'll find that accessing the variable coins from an outer scope is probably not a good idea, because it will break your assertion when you switch to the next level. The change that is needed will make your methods more self-contained and robust.
Then, increase the difficulty by having 2 different coins etc.
Examples for the first assertions that I used on this problem:
# Only 1 way of making 1 with only a 1 coin of value 1
assert(find_combinations([1], 1) == 1)
# Still only 1 way of making 1 with two coins of values 1 and 2
assert(find_combinations([1,2], 1) == 1)
# Two ways of making 2 with two coins of values 1 and 2
assert(find_combinations([1,2], 2) == 2)
As soon as the result does no longer match your expectation, use the debugger and step through your code. After every line, check the values in the debugger against the values that you think they should be.
One time, the debugger will be your best friend. And you can never imagine how you did stuff without it. You just need to learn how to use it.
Firstly, read Thomas Weller's answer. They give some excellent suggestions as to how to improve your coding and problem solving.
Secondly, your code works, and gives the correct answer after the following changes:
As suggested, remove the target = amount line. You're resigning the argument of the function to global amount on each call (even on the recursive calls). Having removed that the answer comes up to 3275 - still not the right answer.
The other thing you have to remember is that Python is 0-indexed. Therefore, your simplest case condition ought to read if avc <= 0: ... (not <=1).
Having made these two changes, your code gives the correct answer. Here is your code with these changes:
coins = (1,2,5,10,20,50,100,200)
amount = 200
def ways(target, avc):
if avc <= 0:
return 1
res = 0
while target >= 0:
res = res + ways(target, avc-1)
target = target - coins[avc]
return res
print(ways(amount, 7))
Lastly, there are plenty of Project Euler answers out there. Having solved the yourself, it might be useful to have a look at what others did. For reference, I have not actually solved this Project Euler before, so I had to do that first. Here is my solution. I've added a pile of comments on top of it to explain what it does.
EDIT
I've just noticed something quite worrying: Your code (after fixes) works only if the first element of coins is 1. All the other elements can be shuffled:
# This still works ok
coins = (1,2,200,10,20,50,100,5)
# But this does not
coins = (2,1,5,10,20,50,100,200)
To ensure that this is always the case, you can just do the following:
coins = ... # <- Some not necessarily sorted tuple
coins = tuple(sorted(coins))
In principle there are a few other issues. Your solution breaks for non-unique values coins, and which don't include 1. The former you could fix with the use of sets, and the latter by modifying your if avc <= 0: case (check for the divisibility of the target by the remaining coin). Here is you piece of code with these changes implemented. I've also renamed the variables and the function to be a bit easier to read, and used coins as the argument, rather that avc pointer (which, by the way, I could not stop reading as avec):
unique = lambda x: sorted(set(x)) # Sorted unique list
def find_combinations(target, coins):
''' Find the number of ways coins can make up the target amount '''
coins = unique(coins)
if len(coins)==1: # Only one coin, therefore just check divisibility
return 1 if not target%coins[0] else 0
combinations = 0
while target >= 0:
combinations += find_combinations(target, coins[:-1])
target -= coins[-1]
return combinations
coins = [2,1,5,10,20,50,100,200] # <- Now works
amount = 200
print(find_combinations(amount, coins))

Repeating a function with another function

for an assignment we needed to make a function that flipped a coin and another to flip it 100 times. I was able to make a function that flipped a coin, but got stuck when trying to call it a 100 times with another function. This is what I have right now:
import random
def TC():
face = random.randint(0,1)
if face == 1:
return "head"
else:
return "tail"
print TC()
def ply(flips):
for i in range(flips):
return TC()
print ply(100)
When I run it it just says 'none.' Please tell me where I am going wrong. Thank You!
Just to start, your method naming is very bad. I doubt this is how your professor is teaching you to name methods and variables. It's ugly, against Python standards and hard to read I suggest you take some time and read PEP 8 it's how python was intended to be written.
So instead of TC you should use something like flip_coin and instead of ply use something like play_coin_flip or even simply play.
Next I don't know if I'm stepping outside of what you have learned but instead of using randon.randint you can use randon.choice.
And finally, as others have said, when you return you quit any other execution in a function and return whatever variable you retrun in that statement thus nullifying any other iterations of the loop you're performing. I suggest something like the below as a better program with corrections applied to make it function as intended.
from random import choice
faces = ['head', 'tail']
def flip_coin():
face = choice(faces)
return face
def play_coin_flip(flips = 1):
for i in range(flips):
print(flip_coin)
if __name__ == "__main__":
play_coin_flip(100)

Python: Why my function returns None and then executes

So, I have a function which basically does this:
import os
import json
import requests
from openpyxl import load_workbook
def function(data):
statuslist = []
for i in range(len(data[0])):
result = performOperation(data[0][i])
if result in satisfying_results:
print("its okay")
statuslist.append("Pass")
else:
print("absolutely not okay")
statuslist.append("Fail" + result)
return statuslist
Then, I invoke the function like this (I've added error handling to check what will happen after stumbling upon the reason for me asking this question), and was actually amazed by the results, as the function returns None, and then executes:
statuslist = function(data)
print(statuslist)
try:
for i in range(len(statuslist)):
anotherFunction(i)
print("Confirmation that it is working")
except TypeError:
print("This is utterly nonsense I think")
The output of the program is then as follows:
None
This is utterly nonsense I think
its okay
its okay
its okay
absolutely not okay
its okay
There is only single return statement at the end of the function, the function is not recursive, its pretty straightforward and top-down(but parses a lot of data in the meantime).
From the output log, it appears that the function first returns None, and then is properly executed. I am puzzled, and I were unable to find any similar problems over the internet (maybe I phrase the question incorrectly).
Even if there were some inconsistency in the code, I'd still expect it to return [] instead.
After changing the initial list to statuslist = ["WTF"], the return is [].
To rule out the fact that I have modified the list in some other functions performed in the function(data), I have changed the name of the initial list several times - the results are consistently beyond my comprehension
I will be very grateful on tips in debugging the issue. Why does the function return the value first, and is executed after?
While being unable to write the code which would at the same time present what happened in my code in full spectrum, be readable, and wouldn't interfere with no security policies of the company, I have re-wrote it in a simpler form (the original code has been written while I had 3 months of programming experience), and the issue does not reproduce anymore. I guess there had be some level of nesting of functions that I have misinterpreted, and this re-written code, doing pretty much the same, correctly returns me the expected list.
Thank you everyone for your time and suggestions.
So, the answer appears to be: You do not understand your own code, make it simpler.

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