code: def test_atleast_1d(
      dtype_and_x, test_flags, backend_fw, fn_name, on_device
  ):
      input_dtypes, arrays = dtype_and_x
      kw = {}
      for i, (array, idtype) in enumerate(zip(arrays, input_dtypes)):
          kw[f"x{i}"] = np.asarray(array, dtype=idtype)
      test_flags.num_positional_args = len(kw)
      helpers.test_function(
          input_dtypes=input_dtypes,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          **kw,
      )
  
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 20 for calling a global function with example usage: test_atleast_1d(dtype_and_x, test_flags, backend_fw, fn_name, on_device) without return types