randomMRP.py
def generate_transition_probability(num_states):
    """
        Generate the transition probabilities for each state by random partitions of the unit interval.

        Inputs:
                num_states: number of states

        Output:
                trans_prob: transition probability matrix.
    """
    trans_prob = np.zeros((num_states, num_states))

    for s in range(num_states):
        trans_prob[s, :] = next_state_prob(num_states)

    return trans_prob

        Generate the transition probabilities for each state by random partitions of the unit interval.

        Inputs:
                num_states: number of states

        Output:
                trans_prob: transition probability matrix.
    
Generate the transition probabilities for each state by random partitions of the unit interval.
Inputs:
num_states: number of states

transition probability matrix.
Generate the transition probabilities for each state by random partitions of the unit interval . Inputs : num_states : number of states transition probability matrix .
def generate_transition_probability(num_states):
    trans_prob = np.zeros((num_states, num_states))
    for s in range(num_states):
        trans_prob[s, :] = next_state_prob(num_states)
    return trans_prob
def generate_transition_probability ( num_states ) : trans_prob = np . zeros ( ( num_states , num_states ) ) for s in range ( num_states ) : trans_prob [ s , : ] = next_state_prob ( num_states ) return trans_prob
Generate the transition probabilities for each state by random partitions of the unit interval.
Generate the transition probabilities for each state by random partitions of the unit interval .
"""
        Generate the transition probabilities for each state by random partitions of the unit interval.

        Inputs:
                num_states: number of states

        Output:
                trans_prob: transition probability matrix.
    """
num_states