code: def test_ones_like():
      t1 = tensor([[0, 0, 1], [1, 0, 0]], chunk_size=2).tosparse()
      t = ones_like(t1, dtype="f8")
  
      assert isinstance(t, SparseTensor)
      assert isinstance(t.op, TensorOnesLike)
      assert t.issparse() is True
      assert t.op.gpu is None
  
      t = tile(t)
      assert t.chunks[0].index == (0, 0)
      assert isinstance(t.op, TensorOnesLike)
      assert t.chunks[0].issparse() is True
  
imports: import shutil
  import tempfile
  from copy import copy
  import numpy
  import scipy.sparse
  import pytest
  from ....None import dataframe
  from ....core import enter_mode, tile
  from ...None import ones, zeros, tensor, full, arange, diag, linspace, triu, tril, ones_like
  from ...core import Tensor, SparseTensor
  from ..None import array, fromtiledb, TensorTileDBDataSource, fromdense, asarray, ascontiguousarray, asfortranarray
  from ..tri import TensorTriu, TensorTril
  from ..zeros import TensorZeros
  from ..from_dense import DenseToSparse
  from ..array import CSRMatrixDataSource
  from ..ones import TensorOnes, TensorOnesLike
  from ..from_dataframe import from_dataframe
label_desc: Use image node_id 15 for calling a global function with example usage: test_ones_like() without return types