code: def _percentile_helper(draw):
      large_abs_safety_factor = 2
      small_abs_safety_factor = 2
      dtype, values, axis = draw(
          helpers.dtype_values_axis(
              available_dtypes=helpers.get_dtypes("float"),
              large_abs_safety_factor=large_abs_safety_factor,
              small_abs_safety_factor=small_abs_safety_factor,
              safety_factor_scale="log",
              min_num_dims=1,
              max_num_dims=5,
              min_dim_size=2,
              valid_axis=True,
              allow_neg_axes=False,
              min_axes_size=1,
              force_int_axis=True,
          )
      )
      q = draw(
          st.one_of(
              helpers.array_values(
                  dtype=helpers.get_dtypes("float"),
                  shape=helpers.get_shape(
                      min_dim_size=1, max_num_dims=1, min_num_dims=1
                  ),
                  min_value=0.0,
                  max_value=100.0,
                  exclude_max=False,
                  exclude_min=False,
              ),
              st.floats(min_value=0.0, max_value=100.0),
          )
      )
  
      interpolation_names = [
          "linear",
          "lower",
          "higher",
          "midpoint",
          "nearest",
      ]
      interpolation = draw(
          helpers.list_of_size(
              x=st.sampled_from(interpolation_names),
              size=1,
          )
      )
      return dtype, values, axis, interpolation, q
  
imports: from hypothesis import strategies, assume
  import numpy
  import ivy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_statistical import _statistical_dtype_values, _get_castable_dtype
  from ivy import inf
label_desc: Use image node_id 5 for calling a global function with example usage: _percentile_helper(draw) and returns: dtype,  values,  axis,  interpolation,  q