code: def _asindices(self, idx, N):
      # LIL routines handle bounds-checking for us, so don't do it here.
      try:
          x = np.asarray(idx)
      except (ValueError, TypeError, MemoryError) as e:
          raise IndexError("invalid index") from e
      if x.ndim not in (1, 2):
          raise IndexError("Index dimension must be <= 2")
      return x
  
imports: from bisect import bisect_left
  import numpy
  from ._matrix import spmatrix
  from ._base import _spbase, sparray, issparse
  from ._index import IndexMixin, INT_TYPES, _broadcast_arrays
  from ._sputils import getdtype, isshape, isscalarlike, upcast_scalar, check_shape, check_reshape_kwargs
  from .None import _csparsetools
label_desc: Use image node_id 12 for calling the _lil_base obj's underlying member method code with example usage: obj._asindices(idx, N) and returns: x