code: def leaf_value(request):
      if request.param == "int":
          return np.int32(1)
      elif request.param == "float":
          return np.float64(1)
      elif request.param == "datetime":
          return pd.to_datetime("1900-01-01")
      elif request.param == "timedelta":
          return pd.to_timedelta("10d")
      else:
          raise ValueError("Unhandled data type")
  
imports: import functools
  import operator
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf import NA
  from cudf._lib.copying import get_element
  from cudf.api.types import is_scalar
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 6 for calling a global function with example usage: leaf_value(request) and returns: np, np, pd, pd