Markov Chain

You can import the markov.py file into the python repl:

$ cd markov-chain/
$ python3
>>> import markov
>>> markov.get_table('abcdabc')
{'a': {'b': 2}, 'b': {'c': 2}, 'c': {'d': 1}, 'd': {'a': 1}}
>>> m = markov.Markov('abcs', size=3)
>>> m.tables
{'a': {'b': 1}, 'b': {'c': 1}, 'c': {'s': 1}}, {'ab': {'c': 1}, 'bc': {'s': 1}}, {'abc': {'s': 1}}]
>>> m = markov.Markov('abcs', size=5)
>>> m.tables
{'a': {'b': 1}, 'b': {'c': 1}, 'c': {'s': 1}}, {'ab': {'c': 1}, 'bc': {'s': 1}}, {'abc': {'s': 1}}, {}, {}]
5 dictionaries
>>> m.predict('z')
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/hakan/IdeaProjects/python3-live/markov.py", line 104, in predict
    raise KeyError(f'{data_in} not in table')
KeyError: 'z not in table'
>>> exit()

Alternatively, you can directly run the markov app so as to predict whether a given text exists or not over the terminal as follows:

$ python markov.py -h
usage: markov.py [-h] [-f FILE] [-s SIZE] [--encoding ENCODING] [--word]

Markov chain app

optional arguments:
  -h, --help            show this help message and exit
  -f FILE, --file FILE  Input file
  -s SIZE, --size SIZE  Markov size
  --encoding ENCODING   Input encoding (default utf-8)
  --word                Create a Word Markov
$ python markov.py -f dq.txt -s 5 --word
>START
OF
>DON
QUIXOTE
>don
don missing
>Don
Quixote
> Project
Traceback (most recent call last):
  File "markov.py", line 228, in <module>
    main(sys.argv[1:]) # do not include markov.py itself
  File "markov.py", line 145, in main
    repl(m)
  File "markov.py", line 151, in repl
    res = m.predict(txt)
  File "markov.py", line 94, in predict
    raise IndexError(f'{data_in}\'s length exceeds the size {self.size}')
IndexError: Project's length exceeds the size 5

Coverage Report

Once you install the coverage package via pip pip install -r requirements.txt, you run the coverage command with different forms:

$ coverage html markov_test.py

The command above should create a folder called htmlcov that contains the index.html file illustrating the coverage result.

The command using run runs the the tests on terminal:

$ coverage run markov_test.py
.
----------------------------------------------------------------------
Ran 1 test in 0.000s

OK