code: def concatenate(objs, axis=0):
      if isinstance(objs[0], DataFrame) or isinstance(objs[0], Series):
          if len(objs) == 1:
              return objs[0]
          else:
              return cudf.concat(objs)
      elif isinstance(objs[0], cp.ndarray):
          return cp.concatenate(objs, axis=axis)
  
      elif isinstance(objs[0], np.ndarray):
          return np.concatenate(objs, axis=axis)
  
imports: import dask.dataframe
  from functools import reduce
  from toolz import first
  from dask.distributed import default_client
  from dask.distributed import wait
  from cuml.dask.common.part_utils import _extract_partitions
  from cuml.dask.common.dask_arr_utils import validate_dask_array
  from cuml.dask.common.dask_df_utils import to_dask_cudf
  from cuml.dask.common.utils import get_client
  from dask_cudf.core import Series
  from dask.dataframe import Series
  from dask.dataframe import DataFrame
  from cudf import Series
  from cuml.internals.safe_imports import gpu_only_import_from
  from collections import OrderedDict
  from cuml.internals.memory_utils import with_cupy_rmm
  from collections.abc import Sequence
  import dask.array
  from cuml.internals.safe_imports import cpu_only_import
  import cuml.internals.logger
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 2 for calling a global function with example usage: concatenate(objs, axis) and returns: objs, cudf, cp, np