markov-chain | A simple Marvkov chain class supporting different n-grams

def _kmc2_multiple_centers(self):
    """Adds new initial cluster centers using the k-MC2 algorithm.

    In each call to the op, the provided batch is split into subsets based on
    the specified `kmc2_chain_length`. On each subset, a single Markov  

def get_transitions(
    start: str, transitions: list[tuple[str, str, float]], steps: int
) -> dict[str, int]:
    """
    Running Markov Chain algorithm and calculating the number of times each node is
    visited

    >>> transitions =