code: def to_numpy(tensor):
      return tensor.todense() if is_sparse(tensor) else np.array(tensor)
  
imports: from copy import copy
  from packaging.version import Version
  import numpy
  import scipy
  import scipy.linalg
  import scipy.sparse.linalg
  import sparse
  from .None import register_sparse_backend
  from ....backend.core import Backend
label_desc: Use image node_id 4 for calling the NumpySparseBackend obj's underlying member method code with example usage: obj.to_numpy(tensor) and returns: unknown