code: def _valid_idct(draw):
      dtype, x = draw(
          helpers.dtype_and_values(
              available_dtypes=["float32", "float64"],
              max_value=65280,
              min_value=-65280,
              min_num_dims=1,
              min_dim_size=2,
              shared_dtype=True,
          )
      )
      n = None
      axis = -1
      norm = draw(st.sampled_from([None, "ortho"]))
      type = draw(helpers.ints(min_value=1, max_value=4))
      if norm == "ortho" and type == 1:
          norm = None
      return dtype, x, type, n, axis, norm
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_tensorflow/test_signal.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 1 for calling a global function with example usage: _valid_idct(draw) and returns: dtype,  x,  type,  n,  axis,  norm