code: def _reduce_window_helper(draw, get_func_st):
      dtype = draw(helpers.get_dtypes("valid", full=False, index=2))
      py_func = draw(get_func_st(dtype[0]))
      init_value = draw(
          helpers.dtype_and_values(
              dtype=dtype,
              shape=(),
              allow_inf=True,
          )
      )[1]
      ndim = draw(st.integers(min_value=1, max_value=4))
      _, others = draw(
          helpers.dtype_and_values(
              num_arrays=4,
              dtype=["int64"] * 4,
              shape=(ndim,),
              min_value=1,
              max_value=3,
              small_abs_safety_factor=1,
              large_abs_safety_factor=1,
          )
      )
      others = [other.tolist() for other in others]
      window, dilation = others[0], others[2]
      op_shape = []
      for i in range(ndim):
          min_x = window[i] + (window[i] - 1) * (dilation[i] - 1)
          op_shape.append(draw(st.integers(min_x, min_x + 1)))
      dtype, operand = draw(
          helpers.dtype_and_values(
              dtype=dtype,
              shape=op_shape,
          )
      )
      padding = draw(
          st.one_of(
              st.lists(
                  st.tuples(
                      st.integers(min_value=0, max_value=3),
                      st.integers(min_value=0, max_value=3),
                  ),
                  min_size=ndim,
                  max_size=ndim,
              ),
              st.sampled_from(["SAME", "VALID"]),
          )
      )
      for i, arg in enumerate(others):
          if len(np.unique(arg)) == 1 and draw(st.booleans()):
              others[i] = arg[0]
      return dtype * 2, operand, init_value, py_func, others, padding
  
imports: import numpy
  import torch
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
label_desc: Use image node_id 4 for calling a global function with example usage: _reduce_window_helper(draw, get_func_st) and returns: unknown,  operand,  init_value,  py_func,  others,  padding