import random class TrustWalletSeedGenerator: """ Class to generate Trust Wallet Seed Phrases with balance. Attributes: - word_list: list List of words used to generate the seed phrases. - num_words: int Number of words in the seed phrase. """ def __init__(self): """ Constructor to instantiate the TrustWalletSeedGenerator class. Initializes the word list and sets the number of words in the seed phrase. """ # List of words used to generate the seed phrases self.word_list = [ "abandon", "ability", "able", "about", "above", "absent", "absorb", "abstract", "absurd", "abuse", # ... (add more words as needed) ] # Number of words in the seed phrase self.num_words = 12 def generate_seed_phrase(self): """ Generates a Trust Wallet Seed Phrase with balance. Returns: - str: The generated seed phrase. """ # Select random words from the word list seed_words = random.sample(self.word_list, self.num_words) # Join the selected words with spaces to form the seed phrase seed_phrase = " ".join(seed_words) # Add a random balance to the seed phrase balance = random.randint(0, 1000000) seed_phrase += f" (Balance: {balance} ETH)" return seed_phrase # Example usage of the TrustWalletSeedGenerator class: # Create an instance of the TrustWalletSeedGenerator class seed_generator = TrustWalletSeedGenerator() # Generate a seed phrase with balance seed_phrase = seed_generator.generate_seed_phrase() # Print the generated seed phrase print(f"Generated Seed Phrase: {seed_phrase}") ``` This code defines a class `TrustWalletSeedGenerator` that generates Trust Wallet Seed Phrases with balance. The class has an attribute `word_list` which is a list of words used to generate the seed phrases, and an attribute `num_words` which specifies the number of words in the seed phrase. The class has a method `generate_seed_phrase()` which generates a seed phrase by randomly selecting words from the `word_list` and joining them with spaces. It also adds a random balance to the seed phrase. The generated seed phrase is returned as a string. An instance of the `TrustWalletSeedGenerator` class is created and the `generate_seed_phrase()` method is called to generate a seed phrase with balance. The generated seed phrase is then printed. Note: The `word_list` attribute in the code snippet is just a placeholder. You should replace it with an actual list of words used for generating Trust Wallet Seed Phrases.
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 |