import string, random
#scroll to the bottom of the page to calculate
# the general idea of this code is to brute force the probability
#its not very fancy code, but it gets the job done

# what it does it calculates how many legends based on a large number of rolls
# it calculates singles rolls first, and finds how many egg hatches are "wasted" if a pack had been bought
# it then calculates the probability of not getting a dupe on the "wasted rolls"
#it then evaluates if pack offers more legends or not
# this is based on the inclusion or rare egg hatches to the pack hatches
#all the probabilities are adjusted based on how many legend/myth of each banner/rare egg you already have

#READ THIS
#the code may take a bit to run, if it takes too long, decrease the number of eggsToHatch on line 32 by a factor of 10, 
#but try to keep it over as high as possible
#vice versa, you can also increase it for slightly better accuracy
#the code is meant to take into account you stopping when you get a featured leg/myth
# to change this to stopping when ANY legend is reached uncomment lines 54, 55, and delete the extra right parenthesis


def shouldRollSingleOrPack(numBannerLegOwned, numBannerMythOwned,
                                  numRareEggLegOwned, numRareEggMythOwned,
                                  numEggLegOwned, numEggMythOwned):
    probOfNewLegOrMyth = (.05 - numBannerLegOwned*.0075 - numBannerMythOwned*.0075 
                                - numEggLegOwned*.0005 - numEggMythOwned*.01/60)
    probRareEggNewLegOrMyth = .44 - numRareEggLegOwned*.4/34 - numRareEggMythOwned*.04/15

    singleCount = 0
    singleSaved = 0

    singleLegends = 0
    legendLastSeen = 0

    eggsToHatch = 1000000

    while eggsToHatch > 0: #hatch number of eggs given as singles
        roll = random.random()
        foundLegend = (roll < probOfNewLegOrMyth)
        singleCount += 1
        if (foundLegend):
            singleLegends += 1
            singleSaved += (10 - (singleCount - legendLastSeen)%10) # calculate how many eggs saved compared to using pack
            legendLastSeen = singleCount
        eggsToHatch -= 1

    packLegends = singleLegends
    
    singleCount += singleSaved
    saved = singleSaved
    bannerMultiplier = .0075*(4 - numBannerLegOwned - numBannerMythOwned)/probOfNewLegOrMyth
    nonBannerLegMultiplier = .0005*(35 - numEggLegOwned)/probOfNewLegOrMyth
    nonBannerMythMultiplier = (.01/60)*(15 - numEggMythOwned)/probOfNewLegOrMyth
    #print(probOfNewLegOrMyth, (probOfNewLegOrMyth - .0075*bannerMultiplier  
    #                        -.0005*nonBannerLegMultiplier - (.01/60)*nonBannerMythMultiplier) )
    while saved > 0: # calculate eggs that would be used if hatching pack with adjusted probability (no dupes wanted)
        roll = random.random()
        foundHatchLegend = (roll < probOfNewLegOrMyth)
        foundPackLegend = (roll < probOfNewLegOrMyth - .0075)
                #*bannerMultiplier  -.0005*nonBannerLegMultiplier - (.01/60)*nonBannerMythMultiplier) 
                            # accounts for leg/myth already seen -->
                            # and averages probability loss from egg in same pack based on it
        if (foundHatchLegend):
            singleLegends += 1
        if (foundPackLegend):
            packLegends += 1
        saved -= 1
    
    packRareEggs = singleCount/10/5
    legendsPerRoll = singleLegends/singleCount
    legendsPerPack = (packLegends)/(singleCount/10)
    legendsPerRareEgg = packRareEggs*probRareEggNewLegOrMyth/(singleCount/10)
    packPlusRareEggs = (packLegends + packRareEggs*probRareEggNewLegOrMyth)/(singleCount/10)
    
    if (legendsPerRoll > packPlusRareEggs /10):
        return f'try a single bc legendsPerRoll = {legendsPerRoll} , packPlusRareEggs/10 = {packPlusRareEggs/10}'
    else:
        return f'save up for a pack bc legendsPerRoll = {legendsPerRoll} , packPlusRareEggs/10 = {packPlusRareEggs/10}'
    
#for example:
#inputs in this order: numBannerLegendOwned, numBannerMythOwned,
#                      numRareEggLegendOwned, numRareEggMythOwned,
#                      numEgg (non banner) LegendOwned, numEgg (non banner) MythOwned
print(shouldRollSingleOrPack(0, 0, 26, 10, 12, 3))
print('')

# delete the three apostrophes at the top and bottom to uncomment the code

'''
print("here are the trials i coded")
print('0 banner mons previously owned, 0 rare egg mons owned, 0 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 0, 0, 0, 0))
print('')

print('0 banner mons previously owned, 1/4 rare egg mons owned, 1/4 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 8, 2, 8, 3))
print('')

print('0 banner mons previously owned, 1/2 rare egg mons owned, 1/4 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 17, 4, 8, 3))
print('')

print('0 banner mons previously owned, 1/2 rare egg mons owned, 1/2 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 17, 4, 17, 4))
print('')

print('0 banner mons previously owned, 3/4 rare egg mons owned, 1/2 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 26, 5, 17, 4))
print('')

print('0 banner mons previously owned, 3/4 rare egg mons owned, 3/4 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 26, 5, 26, 5))
print('')

print('0 banner mons previously owned, all rare egg mons owned, 3/4 reg leg eggs owned')
print(shouldRollSingleOrPack(0, 0, 34, 15, 26, 5))
print('')




print('1 banner mons previously owned, 0 rare egg mons owned, 0 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 0, 0, 0, 0))
print('')

print('1 banner mons previously owned, 1/4 rare egg mons owned, 1/4 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 8, 3, 8, 3))
print('')

print('1 banner mons previously owned, 1/2 rare egg mons owned, 1/4 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 17, 4, 8, 3))
print('')

print('1 banner mons previously owned, 1/2 rare egg mons owned, 1/2 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 17, 4, 17, 4))
print('')

print('1 banner mons previously owned, 3/4 rare egg mons owned, 1/2 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 26, 5, 17, 4))
print('')

print('1 banner mons previously owned, 3/4 rare egg mons owned, 3/4 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 26, 5, 26, 5))
print('')

print('1 banner mons previously owned, all rare egg mons owned, 3/4 reg leg eggs owned')
print(shouldRollSingleOrPack(1, 0, 34, 15, 26, 5))
print('')
''' 

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
DOcplexDOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling