## Set the farming period (7, 14, or 30 days)
## If you just wish to calculate your total wake-up cost without the 14 or 30 day period fee, just select 7 days.

farming_period = 14

## Set the rarity ("rare", "epic", "legendary", "pawsome") of each catgirl in quotation marks and their nya score.
## If you want to leave out a slot, simply write "none" and leave the nya score as is or set to 0.
## If you screwed something up, the program will tell you.

cgirl1 = "rare"
nya1 = 23

cgirl2 = "epic"
nya2 = 50

cgirl3 = "none"
nya3 = 22

cgirl4 = "none"
nya4 = 90

cgirl5 = "none"
nya5 = 90

# Now press the RUN > button on the top right to start the program.
# Your result will be shown under "Output".

# Set offset to True if you want to make sure you have the required amount a day ahead
offset = False

# DON'T CHANGE THIS

glist = [(cgirl1, nya1), (cgirl2, nya2), (cgirl3, nya3), (cgirl4, nya4), (cgirl5, nya5)] 

def cost_sum(rar, nya):
    if rar == "rare":
        cost = 500 + 5*nya
        
    elif rar == "epic":
        cost = 2000 + 20*nya
        
    elif rar == "legendary":
        cost = 8000 + 80*nya
        
    elif rar == "pawsome":
        cost = 240000 + 2400*nya
        
    elif rar == "none":
        cost = 0
    
    else:
        raise ValueError()
        
    return cost

def period_parse(period):
    period_cost = 0
    if period not in (7,14,30):
        raise ValueError()
        
    if period == 14:
        period_cost = 4000
        
    elif period == 30:
        period_cost = 40000
    
    return period_cost
            
        
def cost_calc(catgirls, period, offset_var):
    off = 0 if offset_var == False else 1
    try:
        wakeup = 0
        
        for x, y in catgirls:
            wakeup += cost_sum(x, y)
            
        ressi = round((wakeup + period_parse(period))/(period-off), 2)
        
        print("Your overall wake-up cost is: {} PAW. You will need approx. {} daily PAW production to cover next wake-up and your {} day farming fee.".format(wakeup, ressi, period))
            
    except ValueError:
        print("Oops! There seems to be a mistake in your rarities or farming period. Please check and try again.")


# DON'T CHANGE THIS 
cost_calc(glist, farming_period, offset)
by

Python Online Compiler

Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.

Taking inputs (stdin)

OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.

import sys
name = sys.stdin.readline()
print("Hello "+ name)

About Python

Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.

Tutorial & Syntax help

Loops

1. If-Else:

When ever you want to perform a set of operations based on a condition IF-ELSE is used.

if conditional-expression
    #code
elif conditional-expression
    #code
else:
    #code

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.

while condition  
    #code

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)

Below throws an error if you assign another value to tuple again.

myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

Following are the libraries supported by OneCompiler's Python compiler

NameDescription
NumPyNumPy python library helps users to work on arrays with ease
SciPySciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learnScikit-learn or Scikit-learn is the most useful library for machine learning in Python
PandasPandas is the most efficient Python library for data manipulation and analysis
MatplotlibMatplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling