Create a Markov chain
This Python 2 module creates a Markov by reading in text and calculating probabilities.
First, determine what you wish to test. We have two example Markov chain uses:
- A text generator that uses written prose to generate similar sentences
- A password "cracker" that takes an input password and number of tests
The markov module contains everything to run these cases in one script, but for ease of use we will create a Generator object first, and then pickle it to use later.
Read each section below to learn how to do each example.
Enter the text you are parsing (text.txt)
Enter the pickle you are using (text.pickle)
Look at the output, a sorted list of 1000 generated sentences! Examine the code in write.py and run.py to see how this works
Warning: on a fast computer, it takes about 10 seconds to crack a 5 letter password. Try small passwords and a small number of tests initially.
Enter the password file (passwords.txt)
Enter the password you are trying to crack Enter the number of tests
The code will print out the test number and the percent of the state space searched.