code: def test_merge():
      frame_data = {
          "col1": [0, 1, 2, 3],
          "col2": [4, 5, 6, 7],
          "col3": [8, 9, 0, 1],
          "col4": [2, 4, 5, 6],
      }
  
      modin_df = pd.DataFrame(frame_data)
      pandas_df = pandas.DataFrame(frame_data)
  
      frame_data2 = {"col1": [0, 1, 2], "col2": [1, 5, 6]}
      modin_df2 = pd.DataFrame(frame_data2)
      pandas_df2 = pandas.DataFrame(frame_data2)
  
      join_types = ["outer", "inner"]
      for how in join_types:
          # Defaults
          modin_result = pd.merge(modin_df, modin_df2, how=how)
          pandas_result = pandas.merge(pandas_df, pandas_df2, how=how)
          df_equals(modin_result, pandas_result)
  
          # left_on and right_index
          modin_result = pd.merge(
              modin_df,
              modin_df2,
              how=how,
              left_on="col1",
              right_index=True,
          )
          pandas_result = pandas.merge(
              pandas_df,
              pandas_df2,
              how=how,
              left_on="col1",
              right_index=True,
          )
          df_equals(modin_result, pandas_result)
  
          # left_index and right_on
          modin_result = pd.merge(
              modin_df,
              modin_df2,
              how=how,
              left_index=True,
              right_on="col1",
          )
          pandas_result = pandas.merge(
              pandas_df,
              pandas_df2,
              how=how,
              left_index=True,
              right_on="col1",
          )
          df_equals(modin_result, pandas_result)
  
          # left_on and right_on col1
          modin_result = pd.merge(
              modin_df,
              modin_df2,
              how=how,
              left_on="col1",
              right_on="col1",
          )
          pandas_result = pandas.merge(
              pandas_df,
              pandas_df2,
              how=how,
              left_on="col1",
              right_on="col1",
          )
          df_equals(modin_result, pandas_result)
  
          # left_on and right_on col2
          modin_result = pd.merge(
              modin_df,
              modin_df2,
              how=how,
              left_on="col2",
              right_on="col2",
          )
          pandas_result = pandas.merge(
              pandas_df,
              pandas_df2,
              how=how,
              left_on="col2",
              right_on="col2",
          )
          df_equals(modin_result, pandas_result)
  
          # left_index and right_index
          modin_result = pd.merge(
              modin_df,
              modin_df2,
              how=how,
              left_index=True,
              right_index=True,
          )
          pandas_result = pandas.merge(
              pandas_df,
              pandas_df2,
              how=how,
              left_index=True,
              right_index=True,
          )
          df_equals(modin_result, pandas_result)
  
      s = pd.Series(frame_data.get("col1"))
      with pytest.raises(ValueError):
          pd.merge(s, modin_df2)
  
      with pytest.raises(TypeError):
          pd.merge("Non-valid type", modin_df2)
  
file_path: ray/python/ray/tests/modin/test_modin.py
imports: import sys
  import pytest
  import pandas
  import numpy
  from numpy.testing import assert_array_equal
  from ray.tests.conftest import ray_start_regular_shared
label_desc: Use image node_id 6 for calling a global function with example usage: test_merge() without return types