code: def logspace_epsilons(
      num_epsilons: int, epsilon: float = 0.017
  ) -> Union[Sequence[float], jnp.ndarray]:
      """`num_epsilons` of logspace-distributed values, with median `epsilon`."""
      if num_epsilons <= 1:
          return (epsilon,)
      return jnp.logspace(
          1, 8, num_epsilons, base=epsilon ** (2.0 / 9.0)
      )
  
imports: import dataclasses
  from typing import Callable, Optional, Sequence, Union
  from acme.adders import reverb
  import jax.numpy
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: logspace_epsilons(num_epsilons, epsilon) and returns: jnp, epsilon