code: def _tensorinv_helper(draw):
      def factors(x):
          result = [
              1,
          ]
          i = 2
          while i * i <= x:
              if x % i == 0:
                  result.append(i)
                  if x // i != i:
                      result.append(x // i)
              i += 1
          result.append(x)
          return np.array(result)
  
      ind = draw(helpers.ints(min_value=1, max_value=6))
      product_half = draw(helpers.ints(min_value=2, max_value=25))
      factors_list = factors(product_half)
      shape = ()
      while len(shape) < ind and ind > 2:
          while np.prod(shape) < product_half:
              a = factors_list[np.random.randint(len(factors_list))]
              shape += (a,)
          if np.prod(shape) > product_half or len(shape) > ind:
              shape = ()
          while len(shape) < ind and shape != ():
              shape += (1,)
          if np.prod(shape) == product_half:
              shape += shape[::-1]
              break
      if ind == 1 and shape == ():
          shape += (product_half, product_half)
      if ind == 2 and shape == ():
          shape += (1, product_half, product_half, 1)
      shape_cor = ()
      for i in shape:
          shape_cor += (int(i),)
      shape_draw = (product_half, product_half)
      dtype, input = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("valid"),
              shape=shape_draw,
          ).filter(
              lambda x: np.linalg.cond(x[1])
              < 1 / sys.float_info.epsilon
          )
      )
      input[0] = input[0].reshape(shape_cor)
      return dtype, input[0], ind
  
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 6 for calling a global function with example usage: _tensorinv_helper(draw) and returns: dtype,  input,  ind, np