code: def _vander_helper(draw):
      # generate input matrix of shape (*, n) and where '*' is one or more
      # batch dimensions
      N = draw(helpers.ints(min_value=2, max_value=5))
      if draw(st.floats(min_value=0, max_value=1.0)) < 0.5:
          N = None
  
      shape = draw(
          helpers.get_shape(
              min_num_dims=1,
              max_num_dims=5,
              min_dim_size=2,
              max_dim_size=10,
          )
      )
      x = draw(
          helpers.dtype_and_values(
              available_dtypes=draw(helpers.get_dtypes("valid")),
              shape=shape,
              min_value=-10,
              max_value=10,
          )
      )
  
      return *x, N
  
imports: import math
  import sys
  import numpy
  from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import assert_all_close
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_frontends.test_torch.test_miscellaneous_ops import dtype_value1_value2_axis
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _matrix_rank_helper
label_desc: Use image node_id 7 for calling a global function with example usage: _vander_helper(draw) and returns: unknown,  N