code: def test_concat_join_one_df(ignore_index, sort, join, axis):
      pdf1 = pd.DataFrame(
          {
              "x": range(10),
              "y": list(map(float, range(10))),
              "z": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
          }
      )
  
      gdf1 = gd.from_pandas(pdf1)
      expected = pd.concat(
          [pdf1],
          sort=sort,
          join=join,
          ignore_index=ignore_index,
          axis=axis,
      )
      actual = gd.concat(
          [gdf1],
          sort=sort,
          join=join,
          ignore_index=ignore_index,
          axis=axis,
      )
  
      if PANDAS_GE_150:
          assert_eq(expected, actual, check_index_type=True)
      else:
          # special handling of check_index_type below
          # required because:
          # https://github.com/pandas-dev/pandas/issues/47501
          assert_eq(
              expected,
              actual,
              check_index_type=not (axis == 1 and sort),
          )
  
imports: from decimal import Decimal
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.api.types import is_categorical_dtype
  from cudf.core._compat import PANDAS_GE_150, PANDAS_LT_140
  from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
label_desc: Use image node_id 28 for calling a global function with example usage: test_concat_join_one_df(ignore_index, sort, join, axis) without return types