code: def test_reindex_like_execution(setup):
      data = pd.DataFrame(
          np.random.rand(10, 5),
          columns=["c1", "c2", "c3", "c4", "c5"],
          index=pd.date_range("2021-1-1", periods=10),
      )
      data2 = pd.DataFrame(
          np.random.rand(4, 2),
          columns=["c2", "c4"],
          index=pd.date_range("2020-1-2", periods=4),
      )
      df = md.DataFrame(data, chunk_size=4)
      df2 = md.DataFrame(data2, chunk_size=3)
  
      r = df.reindex_like(df2)
      result = r.execute().fetch()
      expected = data.reindex_like(data2)
      pd.testing.assert_frame_equal(result, expected)
  
      r = df.reindex_like(df, copy=False)
      result = r.execute().fetch()
      expected = data.reindex_like(data)
      pd.testing.assert_frame_equal(result, expected)
  
      s = md.Series(data["c2"], chunk_size=4)
      s2 = md.Series(data2["c2"], chunk_size=3)
  
      r = s.reindex_like(s2)
      result = r.execute().fetch()
      expected = data["c2"].reindex_like(data2["c2"])
      pd.testing.assert_series_equal(result, expected)
  
      r = s.reindex_like(s, copy=False)
      result = r.execute().fetch()
      expected = data["c2"].reindex_like(data["c2"])
      pd.testing.assert_series_equal(result, expected)
  
imports: import os
  import tempfile
  import mars
  import numpy
  import pandas
  import pytest
  from ....None import dataframe
  from ....None import tensor
  from ....utils import pd_release_version
  from ...datasource.read_csv import DataFrameReadCSV
  from ...datasource.read_sql import DataFrameReadSQL
  from ...datasource.read_parquet import DataFrameReadParquet
label_desc: Use image node_id 23 for calling a global function with example usage: test_reindex_like_execution(setup) without return types