code: def max_value_as_shape_prod(draw):
      shape = draw(
          helpers.get_shape(
              min_num_dims=1,
              max_num_dims=5,
              min_dim_size=1,
              max_dim_size=5,
          )
      )
      dtype_and_x = draw(
          helpers.dtype_values_axis(
              available_dtypes=["int32", "int64"],
              min_value=0,
              max_value=np.prod(shape) - 1,
          )
      )
      return dtype_and_x, shape
  
imports: from hypothesis import strategies, assume
  import numpy
  import ivy
  from jax.numpy import tril, triu, r_, c_
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test, BackendHandler
  from ...test_numpy.test_indexing_routines.test_inserting_data_into_arrays import _helper_r_, _helper_c_
  import ivy.functional.frontends.jax.numpy
label_desc: Use image node_id 4 for calling a global function with example usage: max_value_as_shape_prod(draw) and returns: dtype_and_x,  shape