 from random import choice

def main():
    # Create roulette numbers
    roulette_numbers = list(range(0, 37))
    roulette_numbers.append(-1) #/ -1 is "00"

    # Initialize parameters
    minimum_bet = int(input("What is your minimum bet (default is 25)? ") or "25")
    initial_bank = int(input("How much do you want to gamble (default is 375)? ") or "375")
    target_winning = int(input("How much do you want to win (default is 100)? ") or "100")
    simulation_amounts = int(input("How many scenarios should be simulated (default is 10000)? ") or "10000")

    print("...Simulating game using the Martingale strategy and always betting on even numbers...")
    win_count = 0
    lose_count = 0

    for x in range(0, simulation_amounts):
        did_win = simulate_end_result(roulette_numbers, minimum_bet, initial_bank, target_winning, is_even)
        if did_win:
            win_count += 1
        else:
            lose_count += 1

    winning_chance = win_count/ simulation_amounts

    print("Number of times won: ", win_count)
    print("Number of times lost: ", lose_count)
    print("Probability of wins: ", winning_chance)

# Simulates the end result of playing multiple games using the Margingale strategy
# using the predicate to determine where the bet should be placed. The predicate
# should be an "equal" probability bet (i.e. even/odd, red/black, etc.)
def simulate_end_result(roulette_numbers, minimum_bet, initial_bank, target_winning, predicate):
    bank = initial_bank
    lose_streak = 0
    bet = minimum_bet
    while bank > 0 and bank < (target_winning + initial_bank):
        # Compute bet amount
        bet = bet * (lose_streak + 1)

        # Get result
        did_win = simulate_spin(roulette_numbers, predicate)

        # Update bank based on result
        if did_win:
            lose_streak = 0
            bank += bet
            bet = minimum_bet
        else:
            lose_streak += 1
            bank -= bet

    return bank > 0

def is_even(number):
    return number % 2 == 0

# Spins the roulette and applies the predicate on the resulting value
# Will return "True" if the predicate passes (i.e. therefore winning),
# and "False" otherwise.
def simulate_spin(numbers, predicate):
    result = spin_ball(numbers)
    if result == 0 or result == -1:
        False
    return predicate(result)

def spin_ball(numbers):
    return choice(numbers)

if __name__ == '__main__':
    main()

created 3 years ago

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

Name	Description
NumPy	NumPy python library helps users to work on arrays with ease
SciPy	SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation
SKLearn/Scikit-learn	Scikit-learn or Scikit-learn is the most useful library for machine learning in Python
Pandas	Pandas is the most efficient Python library for data manipulation and analysis
DOcplex	DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling