code: def _x_and_rfftn(draw):
      min_rfftn_points = 2
      dtype = draw(helpers.get_dtypes("float"))
      x_dim = draw(
          helpers.get_shape(
              min_dim_size=2,
              max_dim_size=100,
              min_num_dims=1,
              max_num_dims=3,
          )
      )
      x = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=tuple(x_dim),
              min_value=-1e10,
              max_value=1e10,
              large_abs_safety_factor=2.5,
              small_abs_safety_factor=2.5,
              safety_factor_scale="log",
          )
      )
      axes = draw(
          st.lists(
              st.integers(0, len(x_dim) - 1),
              min_size=1,
              max_size=len(x_dim),
              unique=True,
          )
      )
      s = draw(
          st.lists(
              st.integers(min_rfftn_points, 256),
              min_size=len(axes),
              max_size=len(axes),
          )
      )
      norm = draw(st.sampled_from(["backward", "forward", "ortho"]))
      return dtype, x, s, axes, norm
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_scipy/test_fft/test_fft.py
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 7 for calling a global function with example usage: _x_and_rfftn(draw) and returns: dtype,  x,  s,  axes,  norm