code: def test_partial_unfold(
      *, data, test_flags, backend_fw, fn_name, on_device
  ):
      (
          input_dtype,
          input,
          axis,
          skip_begin,
          skip_end,
          ravel_tensors,
      ) = data
      helpers.test_function(
          backend_to_test=backend_fw,
          test_flags=test_flags,
          fn_name=fn_name,
          on_device=on_device,
          rtol_=1e-1,
          atol_=1e-1,
          input_dtypes=input_dtype,
          input=input[0],
          mode=axis,
          skip_begin=skip_begin,
          skip_end=skip_end,
          ravel_tensors=ravel_tensors,
      )
  
imports: from hypothesis import strategies, assume
  import hypothesis.extra.numpy
  import numpy
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, create_concatenable_arrays_dtypes
  from ivy.functional.ivy.experimental.manipulation import _check_bounds
  from ivy_tests.test_ivy.test_functional.test_core.test_manipulation import _get_splits
label_desc: Use image node_id 43 for calling a global function with example usage: test_partial_unfold() without return types