code: def test_concat_join_axis_1(objs, ignore_index, sort, join, axis):
      # no duplicate columns
      gpu_objs = [gd.from_pandas(o) for o in objs]
      expected = pd.concat(
          objs,
          sort=sort,
          join=join,
          ignore_index=ignore_index,
          axis=axis,
      )
      actual = gd.concat(
          gpu_objs,
          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 26 for calling a global function with example usage: test_concat_join_axis_1(objs, ignore_index, sort, join, axis) without return types