code: def test_melt_many_columns():
      mydict = {"id": ["foobar"]}
      for i in range(1, 1942):
          mydict[f"d_{i}"] = i
  
      df = pd.DataFrame(mydict)
      grid_df = pd.melt(
          df, id_vars=["id"], var_name="d", value_name="sales"
      )
  
      df_d = cudf.DataFrame(mydict)
      grid_df_d = cudf.melt(
          df_d, id_vars=["id"], var_name="d", value_name="sales"
      )
      grid_df_d["d"] = grid_df_d["d"].astype("str")
  
      assert_eq(grid_df, grid_df_d)
  
imports: import re
  from itertools import chain
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf import melt
  from cudf.core.buffer.spill_manager import get_global_manager
  from cudf.testing._utils import ALL_TYPES, DATETIME_TYPES, NUMERIC_TYPES, assert_eq
label_desc: Use image node_id 2 for calling a global function with example usage: test_melt_many_columns() without return types