code: def _default_bootstrap(n_samples, num_subsamples, prng):
      """Returns an array of integers (0, n_samples-1)^num_subsamples."""
      return prng.permutation(n_samples)[:num_subsamples]
  
imports: from __future__ import absolute_import
  import numpy
  from sklearn.base import BaseEstimator, clone
  from sklearn.utils import check_array, as_float_array
  from joblib import Parallel, delayed
  from functools import partial
  from .inverse_covariance import _init_coefs
  from .None import QuicGraphicalLasso
label_desc: Use image node_id 5 for calling a global function with example usage: _default_bootstrap(n_samples, num_subsamples, prng) and returns: prng