code: def test_numpy_any(
      *,
      dtype_x_axis,
      keepdims,
      where,
      on_device,
      fn_tree,
      frontend,
      test_flags,
      backend_fw,
  ):
      input_dtypes, x, axis = dtype_x_axis
      axis = axis if axis is None or isinstance(axis, int) else axis[0]
      (
          where,
          input_dtypes,
          test_flags,
      ) = np_frontend_helpers.handle_where_and_array_bools(
          where=where,
          input_dtype=input_dtypes,
          test_flags=test_flags,
      )
      np_frontend_helpers.test_frontend_function(
          input_dtypes=input_dtypes,
          backend_to_test=backend_fw,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          a=x[0],
          axis=axis,
          out=None,
          keepdims=keepdims,
          where=where,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_logic/test_truth_value_testing.py
imports: from hypothesis import strategies, assume
  import ivy
  import ivy_tests.test_ivy.helpers
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
label_desc: Use image node_id 2 for calling a global function with example usage: test_numpy_any() without return types