code: def _diag_helper(draw):
      dtype, x = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("numeric"),
              small_abs_safety_factor=2,
              large_abs_safety_factor=2,
              safety_factor_scale="log",
              min_num_dims=1,
              max_num_dims=2,
              min_dim_size=1,
              max_dim_size=50,
          )
      )
      shape = x[0].shape
      if len(shape) == 2:
          k = draw(
              helpers.ints(
                  min_value=-shape[0] + 1, max_value=shape[1] - 1
              )
          )
      else:
          k = draw(helpers.ints(min_value=0, max_value=shape[0]))
      return dtype, x, k
  
imports: import sys
  import numpy
  from hypothesis import assume, strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 2 for calling a global function with example usage: _diag_helper(draw) and returns: dtype,  x,  k