code: def test_numpy_cov(
      dtype_x1_x2_cov,
      test_flags,
      frontend,
      fn_tree,
      backend_fw,
      on_device,
  ):
      (
          dtype,
          x1,
          x2,
          rowvar,
          bias,
          ddof,
          fweights,
          aweights,
      ) = dtype_x1_x2_cov
      np_frontend_helpers.test_frontend_function(
          input_dtypes=[dtype[0], dtype[0], "int64", "float64"],
          frontend=frontend,
          test_flags=test_flags,
          backend_to_test=backend_fw,
          fn_tree=fn_tree,
          on_device=on_device,
          rtol=1e-2,
          atol=1e-2,
          m=x1,
          y=x2,
          rowvar=rowvar,
          bias=bias,
          ddof=ddof,
          fweights=fweights,
          aweights=aweights,
      )
  
file_path: ivy/ivy_tests/test_ivy/test_frontends/test_numpy/test_statistics/test_averages_and_variances.py
imports: from hypothesis import strategies, assume
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.test_functional.test_core.test_statistical import _statistical_dtype_values
  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 3 for calling a global function with example usage: test_numpy_cov(dtype_x1_x2_cov, test_flags, frontend, fn_tree, backend_fw, on_device) without return types