code: def _dask_data_from_multivariate_normal(
      seed, covar, n_samples, n_features, dtype
  ):
      mean = cp.zeros(n_features)
      local_rs = cp.random.RandomState()
      return local_rs.multivariate_normal(
          mean, covar, n_samples, dtype=dtype
      )
  
imports: from cuml.dask.common.utils import get_client
  from cuml.dask.common.input_utils import DistributedDataHandler
  from cuml.common import with_cupy_rmm
  from cuml.dask.datasets.utils import _create_delayed
  from cuml.dask.datasets.utils import _get_labels
  from cuml.dask.datasets.utils import _get_X
  from cuml.internals.safe_imports import gpu_only_import
  import dask.array
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 4 for calling a global function with example usage: _dask_data_from_multivariate_normal(seed, covar, n_samples, n_features, dtype) and returns: local_rs