""" Program to Generate Card Numbers with Expiry and CVV This program generates a specified number of card numbers with expiry dates and CVV using the Luhn algorithm. """ import random import logging # Setting up logging to monitor performance and errors logging.basicConfig(level=logging.INFO) def generate_card_numbers(amount: int) -> list: """ Generate Card Numbers with Expiry and CVV This function generates a specified number of card numbers with expiry dates and CVV using the Luhn algorithm. Args: amount (int): The number of card numbers to generate. Returns: list: A list of dictionaries containing card numbers, expiry dates, and CVV. Examples: >>> generate_card_numbers(3) [{'card_number': '4532015112890363', 'expiry_date': '12/23', 'cvv': '123'}, {'card_number': '5186879824520016', 'expiry_date': '06/24', 'cvv': '456'}, {'card_number': '4024007143140731', 'expiry_date': '09/25', 'cvv': '789'}] """ try: logging.info(f"Generating {amount} card numbers...") card_numbers = [] for _ in range(amount): card_number = generate_card_number() expiry_date = generate_expiry_date() cvv = generate_cvv() card_numbers.append({ 'card_number': card_number, 'expiry_date': expiry_date, 'cvv': cvv }) return card_numbers except Exception as e: logging.error(f"An error occurred: {e}") return None def generate_card_number() -> str: """ Generate Card Number using Luhn Algorithm This function generates a random 16-digit card number using the Luhn algorithm. Returns: str: A 16-digit card number. Examples: >>> generate_card_number() '4532015112890363' """ try: # Generate the first 15 digits randomly digits = [random.randint(0, 9) for _ in range(15)] # Calculate the checksum digit using the Luhn algorithm checksum = calculate_luhn_checksum(digits) # Append the checksum digit to the card number card_number = ''.join(map(str, digits)) + str(checksum) return card_number except Exception as e: logging.error(f"An error occurred: {e}") return None def calculate_luhn_checksum(digits: list) -> int: """ Calculate Luhn Checksum This function calculates the Luhn checksum for a list of digits. Args: digits (list): A list of digits. Returns: int: The Luhn checksum. Examples: >>> calculate_luhn_checksum([4, 5, 3, 2, 0, 1, 5, 1, 1, 2, 8, 9, 0, 3]) 3 """ try: # Double every second digit, starting from the right doubled_digits = [2 * digit if index % 2 == 1 else digit for index, digit in enumerate(digits)] # Subtract 9 from any digits greater than 9 subtracted_digits = [digit - 9 if digit > 9 else digit for digit in doubled_digits] # Calculate the sum of all digits checksum = sum(subtracted_digits) # Calculate the checksum digit checksum_digit = (10 - (checksum % 10)) % 10 return checksum_digit except Exception as e: logging.error(f"An error occurred: {e}") return None def generate_expiry_date() -> str: """ Generate Expiry Date This function generates a random expiry date in the format MM/YY. Returns: str: The expiry date in the format MM/YY. Examples: >>> generate_expiry_date() '12/23' """ try: # Generate random month and year month = random.randint(1, 12) year = random.randint(22, 30) # Format the expiry date expiry_date = f"{month:02d}/{year:02d}" return expiry_date except Exception as e: logging.error(f"An error occurred: {e}") return None def generate_cvv() -> str: """ Generate CVV This function generates a random 3-digit CVV. Returns: str: The CVV. Examples: >>> generate_cvv() '123' """ try: # Generate random 3-digit CVV cvv = str(random.randint(100, 999)) return cvv except Exception as e: logging.error(f"An error occurred: {e}") return None if __name__ == "__main__": card_numbers = generate_card_numbers(3) if card_numbers: for card in card_numbers: print(f"Card Number: {card['card_number']}") print(f"Expiry Date: {card['expiry_date']}") print(f"CVV: {card['cvv']}") print() else: print("Failed to generate card numbers.")
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.
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)
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.
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
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
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
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
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)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
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.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
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 |