code: def test_cov(
      *,
      dtype_x1_x2_cov,
      test_flags,
      backend_fw,
      fn_name,
      on_device,
  ):
      (
          dtype,
          x1,
          x2,
          rowVar,
          bias,
          ddof,
          fweights,
          aweights,
      ) = dtype_x1_x2_cov
      helpers.test_function(
          input_dtypes=[dtype[0], dtype[0], "int64", "float64"],
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_name=fn_name,
          on_device=on_device,
          x1=x1,
          x2=x2,
          rowVar=rowVar,
          bias=bias,
          ddof=ddof,
          fweights=fweights,
          aweights=aweights,
          return_flat_np_arrays=True,
          rtol_=1e-2,
          atol_=1e-2,
      )
  
imports: from hypothesis import strategies
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test
  from ivy_tests.test_ivy.test_functional.test_core.test_statistical import _statistical_dtype_values, _get_castable_dtype
label_desc: Use image node_id 8 for calling a global function with example usage: test_cov() without return types