import os
from web3 import Web3
from eth_account import Account
from bip_utils import Bip39SeedGenerator, Bip39MnemonicValidator

def generate_ethereum_seed_phrase():
    """
    Generates a random Ethereum seed phrase using BIP39 standard.

    Returns:
    - str:
        The generated Ethereum seed phrase.
    """

    # Generate a random 12-word mnemonic seed phrase
    mnemonic = Bip39SeedGenerator().FromWordsNumber(12)

    return mnemonic

def check_ethereum_balance(address):
    """
    Checks the balance of an Ethereum address.

    Parameters:
    - address: str
        The Ethereum address to check the balance for.

    Returns:
    - float:
        The balance of the Ethereum address in Ether.

    Raises:
    - ValueError:
        Raises an error if the provided address is not a valid Ethereum address.
    """

    # Validate the Ethereum address
    if not Web3.isAddress(address):
        raise ValueError("Invalid Ethereum address.")

    # Connect to the Ethereum network using an Infura node
    infura_url = os.getenv("INFURA_URL")  # Replace with your Infura URL or use environment variable
    web3 = Web3(Web3.HTTPProvider(infura_url))

    # Get the balance of the address
    balance_wei = web3.eth.getBalance(address)
    balance_ether = web3.fromWei(balance_wei, "ether")

    return float(balance_ether)

def generate_seed_phrase_and_check_balance():
    """
    Generates an Ethereum seed phrase and checks the balance of the corresponding address
    until a positive balance is found.

    Returns:
    - str:
        The generated Ethereum seed phrase.
    - str:
        The Ethereum address corresponding to the seed phrase.
    - float:
        The balance of the Ethereum address in Ether.
    """

    while True:
        # Generate a random Ethereum seed phrase
        seed_phrase = generate_ethereum_seed_phrase()

        # Derive the Ethereum address from the seed phrase
        private_key = Account.from_mnemonic(seed_phrase).privateKey
        address = Account.privateKeyToAccount(private_key).address

        # Check the balance of the address
        balance = check_ethereum_balance(address)

        # If the balance is positive, return the seed phrase, address, and balance
        if balance > 100000:
            return seed_phrase, address, balance

# Example usage of the generate_seed_phrase_and_check_balance function:

seed_phrase, address, balance = generate_seed_phrase_and_check_balance()
print("Generated Ethereum Seed Phrase:", seed_phrase)
print("Corresponding Ethereum Address:", address)
print("Balance:", balance, "ETH") 

Python Online Compiler

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Taking inputs (stdin)

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import sys
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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