code: def dims_and_offset(draw, shape):
      shape_actual = draw(shape)
      dim1 = draw(helpers.get_axis(shape=shape, force_int=True))
      dim2 = draw(helpers.get_axis(shape=shape, force_int=True))
      offset = draw(
          st.integers(
              min_value=-shape_actual[dim1],
              max_value=shape_actual[dim1],
          )
      )
      return dim1, dim2, offset
  
imports: import math
  import numpy
  from hypothesis import assume, strategies
  import hypothesis.extra.numpy
  import ivy
  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_linalg import _get_dtype_value1_value2_axis_for_tensordot
label_desc: Use image node_id 5 for calling a global function with example usage: dims_and_offset(draw, shape) and returns: dim1,  dim2,  offset