do_random_walk_chain_from_to_mc

pylimer_tools_cpp.do_random_walk_chain_from_to_mc(box: pylimer_tools_cpp.Box, from_coordinates: numpy.ndarray[numpy.float64[3, 1]], to_coordinates: numpy.ndarray[numpy.float64[3, 1]], chain_len: int, bead_distance: float = 1.0, mean_squared_bead_distance: float = 1.0, seed: str = '', n_iterations: int = 10000) → numpy.ndarray[numpy.float64[m, 1]]

Do a random walk from one point to another. Then, relax the points in between using a Metropolis-Monte Carlo simulation.