code: def to_chunk_op(self, *args):
      chunk_op = super().to_chunk_op(*args)
      chunk_op.shape = args[0]
      chunk_op.chunk_size = None
      return chunk_op
  
imports: import numpy
  from ...None import opcodes
  from ...lib.sparse import SparseNDArray
  from ...lib.sparse.core import get_sparse_module, get_array_module, naked
  from ...serialization.serializables import FieldTypes, AnyField, TupleField, KeyField, StringField
  from ..array_utils import create_array, convert_order
  from ..utils import get_order
  from .core import TensorNoInput, TensorLike
  from .array import tensor
label_desc: Use image node_id 2 for calling the TensorOnes obj's underlying member method code with example usage: obj.to_chunk_op() and returns: chunk_op