# Path: blackjax/types.py



from typing import Callable
from blackjax.types import Array, PRNGKey, PyTree
import jax
import jax.numpy as jnp




def normal(sigma: Array) -> Callable:
    """Normal Random Walk proposal.

    Propose a new position such that its distance to the current position is
    normally distributed. Suitable for continuous variables.

    Parameter
    ---------
    sigma:
        vector or matrix that contains the standard deviation of the centered
        normal distribution from which we draw the move proposals.

    """
    ndim = jnp.ndim(sigma)  # type: ignore[arg-type]
    shape = jnp.shape(jnp.atleast_1d(sigma))[:1]

    if ndim == 1:
        dot = jnp.multiply
    elif ndim == 2:
        dot = jnp.dot
    else:
        raise ValueError


# Path: blackjax/types.py



# Path: blackjax/mcmc/random_walk.py
from typing import Callable
from blackjax.types import Array, PRNGKey, PyTree
import jax
import jax.numpy as jnp





def normal(sigma: Array) -> Callable:
    """Normal Random Walk proposal.

    Propose a new position such that its distance to the current position is
    normally distributed. Suitable for continuous variables.

    Parameter
    ---------
    sigma:
        vector or matrix that contains the standard deviation of the centered
        normal distribution from which we draw the move proposals.

    """
    ndim = jnp.ndim(sigma)  # type: ignore[arg-type]
    shape = jnp.shape(jnp.atleast_1d(sigma))[:1]

    if ndim == 1:
        dot = jnp.multiply
    elif ndim == 2:
        dot = jnp.dot
    else:
        raise ValueError


    def propose(rng_key: PRNGKey, position: PyTree) -> PyTree: