code: def test_tile(nulls, num_cols, num_rows, dtype, count):
      if dtype not in ["float32", "float64"] and nulls in ["some"]:
          pytest.skip(reason="nulls not supported in dtype: " + dtype)
  
      pdf = pd.DataFrame(dtype=dtype)
      for i in range(num_cols):
          colname = str(i)
          data = pd.Series(
              np.random.randint(num_cols, 26, num_rows)
          ).astype(dtype)
  
          if nulls == "some":
              idx = np.random.choice(
                  num_rows, size=int(num_rows / 2), replace=False
              )
              data[idx] = np.nan
          pdf[colname] = data
  
      gdf = cudf.from_pandas(pdf)
  
      got = gdf.tile(count)
      expect = pd.DataFrame(pd.concat([pdf] * count))
  
      assert_eq(expect, got)
  
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 9 for calling a global function with example usage: test_tile(nulls, num_cols, num_rows, dtype, count) without return types