code: def test_setitem():
      data = pd.DataFrame(np.random.rand(10, 2), columns=["c1", "c2"])
      df = md.DataFrame(data, chunk_size=4)
  
      df["new"] = 1
      assert df.shape == (10, 3)
      pd.testing.assert_series_equal(df.inputs[0].dtypes, data.dtypes)
  
      tiled = tile(df)
      assert tiled.chunks[0].shape == (4, 3)
      pd.testing.assert_series_equal(
          tiled.inputs[0].dtypes, data.dtypes
      )
      assert tiled.chunks[1].shape == (4, 3)
      pd.testing.assert_series_equal(
          tiled.inputs[0].dtypes, data.dtypes
      )
      assert tiled.chunks[2].shape == (2, 3)
      pd.testing.assert_series_equal(
          tiled.inputs[0].dtypes, data.dtypes
      )
  
      for c in tiled.chunks:
          pd.testing.assert_series_equal(
              c.inputs[0].dtypes, data.dtypes
          )
  
imports: import numpy
  import pandas
  import pytest
  from ....None import dataframe
  from ....None import tensor
  from ....core import tile
  from ....tensor.core import TENSOR_CHUNK_TYPE, TENSOR_TYPE, Tensor
  from ...core import SERIES_CHUNK_TYPE, SERIES_TYPE, Series, DATAFRAME_TYPE, DataFrame, DATAFRAME_CHUNK_TYPE
  from ...datasource.from_tensor import dataframe_from_tensor
  from ..iloc import DataFrameIlocGetItem, DataFrameIlocSetItem, IndexingError, HeadTailOptimizedOperandMixin
  from ..loc import DataFrameLocGetItem
label_desc: Use image node_id 9 for calling a global function with example usage: test_setitem() without return types