code: def _get_sampler_ensemble(
      posterior: EnsemblePosterior,
      sample_shape: torch.Size,
      **kwargs: Any,
  ) -> MCSampler:
      r"""Get the `IndexSampler` for the `EnsemblePosterior`."""
      return IndexSampler(sample_shape=sample_shape, **kwargs)
  
imports: from typing import Any, Type, Union
  import torch
  from botorch.logging import logger
  from botorch.posteriors.deterministic import DeterministicPosterior
  from botorch.posteriors.ensemble import EnsemblePosterior
  from botorch.posteriors.gpytorch import GPyTorchPosterior
  from botorch.posteriors.posterior import Posterior
  from botorch.posteriors.posterior_list import PosteriorList
  from botorch.posteriors.torch import TorchPosterior
  from botorch.posteriors.transformed import TransformedPosterior
  from botorch.sampling.base import MCSampler
  from botorch.sampling.deterministic import DeterministicSampler
  from botorch.sampling.index_sampler import IndexSampler
  from botorch.sampling.list_sampler import ListSampler
  from botorch.sampling.normal import IIDNormalSampler, NormalMCSampler, SobolQMCNormalSampler
  from botorch.utils.dispatcher import Dispatcher
  from gpytorch.distributions import MultivariateNormal
  from torch.distributions import Distribution
  from torch.quasirandom import SobolEngine
label_desc: Use image node_id 7 for calling a global function with example usage: _get_sampler_ensemble(posterior, sample_shape) and returns: IndexSampler