code: def _axes_value(draw):
      s = 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=helpers.get_dtypes("float"),
              shape=s,
              valid_axis=True,
              force_tuple_axis=True,
          )
      )
      return dtype_and_x
  
imports: from hypothesis import assume, strategies
  import ivy_tests.test_ivy.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
  from ivy_tests.test_ivy.test_functional.test_nn.test_layers import _assume_tf_dilation_gt_1, _output_shape
label_desc: Use image node_id 2 for calling a global function with example usage: _axes_value(draw) and returns: dtype_and_x