code: def test_drop_duplicates_with_duplicate_column_names():
      df = pd.DataFrame(
          [[1, 2, 5], [3, 4, 6], [3, 4, 7]], columns=["a", "a", "b"]
      )
      df = cudf.DataFrame.from_pandas(df)
  
      result0 = df.drop_duplicates()
      assert_df(result0, df)
  
      result1 = df.drop_duplicates("a")
      expected1 = df[:2]
      assert_df(result1, expected1)
  
imports: import itertools
  import random
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf import concat
  from cudf.testing._utils import _create_pandas_series_float64_default, assert_eq, assert_exceptions_equal
label_desc: Use image node_id 6 for calling a global function with example usage: test_drop_duplicates_with_duplicate_column_names() without return types