code: def _diag_x_y_offset_axes(draw):
      currentshape = random.randint(2, 4)
  
      if test_globals.CURRENT_BACKEND == "paddle":
          currentshape = 2
  
      offset = draw(
          helpers.ints(
              min_value=-(currentshape - 1), max_value=currentshape - 1
          )
      )
      available_input_types = draw(helpers.get_dtypes("float"))
  
      available_input_types = helpers.array_dtypes(
          available_dtypes=available_input_types
      )
  
      dtype, x = draw(
          helpers.dtype_and_values(
              min_num_dims=currentshape,
              max_num_dims=currentshape,
              min_dim_size=currentshape,
              max_dim_size=currentshape,
              num_arrays=1,
              available_dtypes=available_input_types,
          ),
      )
  
      diagonal_shape = draw(
          helpers.get_shape(
              min_num_dims=currentshape - 1,
              max_num_dims=currentshape - 1,
              min_dim_size=currentshape,
              max_dim_size=currentshape,
          ),
      )
      diagonal_shape = diagonal_shape[:-1] + (
          diagonal_shape[-1] - abs(offset),
      )
      y = draw(
          helpers.array_values(
              shape=diagonal_shape,
              dtype=available_input_types,
              exclude_min=False,
          )
      )
  
      prohibited_pairs = {(2, -1), (-2, 1), (1, -2), (-1, 2)}
  
      axes = draw(
          st.lists(
              helpers.ints(min_value=-2, max_value=1),
              min_size=2,
              max_size=2,
              unique=True,
          ).filter(
              lambda axes: (axes[0] % 2 != axes[1] % 2)
              and tuple(axes) not in prohibited_pairs,
          )
      )
  
      return dtype, x, y, offset, axes
  
imports: import random
  from hypothesis import strategies
  import math
  import ivy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.helpers.globals
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_manipulation import _get_splits
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import two_broadcastable_shapes
label_desc: Use image node_id 6 for calling a global function with example usage: _diag_x_y_offset_axes(draw) and returns: dtype,  x,  y,  offset,  axes