 import random

class PaysafecardGenerator:
    """
    Class to generate Paysafecard codes.

    Attributes:
    - code_length: int
        The length of the Paysafecard code.
    """

    def __init__(self, code_length: int = 16):
        """
        Constructor to instantiate the PaysafecardGenerator class.

        Parameters:
        - code_length: int (optional)
            The length of the Paysafecard code. Default is 16.
        """

        self.code_length = code_length

    def generate_code(self):
        """
        Generates a random Paysafecard code.

        Returns:
        - str:
            The generated Paysafecard code.
        """

        # Generate a random code using digits
        code = ''.join(random.choices('0123456789', k=self.code_length))

        return code

class PaysafecardChecker:
    """
    Class to check the validity of a Paysafecard code.

    Attributes:
    - code: str
        The Paysafecard code to be checked.
    """

    def __init__(self, code: str):
        """
        Constructor to instantiate the PaysafecardChecker class.

        Parameters:
        - code: str
            The Paysafecard code to be checked.
        """

        self.code = code

    def is_valid(self):
        """
        Checks if the Paysafecard code is valid.

        Returns:
        - bool:
            True if the code is valid, False otherwise.
        """

        # Check if the code has the correct length
        if len(self.code) != 16:
            return False

        # Check if the code consists of uppercase letters and digits only
        if not self.code.isalnum() or not self.code.isupper():
            return False

        # Additional checks for the code can be added here if needed

        return True

# Example usage:

# Generate a Paysafecard code
generator = PaysafecardGenerator()
code = generator.generate_code()
print(f"Generated code: {code}")

# Check if a code is valid
checker = PaysafecardChecker(code)
is_valid = checker.is_valid()
print(f"Is the code valid? {is_valid}")

created 1 year ago

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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