code: def test_numpy_corrcoef(
      dtype_and_x,
      rowvar,
      frontend,
      test_flags,
      fn_tree,
      on_device,
      dtype,
      backend_fw,
  ):
      input_dtypes, x = dtype_and_x
      np_helpers.test_frontend_function(
          input_dtypes=input_dtypes,
          frontend=frontend,
          test_flags=test_flags,
          fn_tree=fn_tree,
          on_device=on_device,
          x=x[0],
          y=x[1],
          rowvar=rowvar,
          dtype=dtype[0],
          backend_to_test=backend_fw,
      )
  
imports: from hypothesis import strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  import ivy_tests.test_ivy.test_frontends.test_numpy.helpers
label_desc: Use image node_id 1 for calling a global function with example usage: test_numpy_corrcoef(dtype_and_x, rowvar, frontend, test_flags, fn_tree, on_device, dtype, backend_fw) without return types