code: def cov(
      x1: np.ndarray,
      x2: np.ndarray = None,
      /,
      *,
      rowVar: bool = True,
      bias: bool = False,
      ddof: Optional[int] = None,
      fweights: Optional[np.ndarray] = None,
      aweights: Optional[np.ndarray] = None,
      dtype: Optional[np.dtype] = None,
  ) -> np.ndarray:
      return np.cov(
          m=x1,
          y=x2,
          rowvar=rowVar,
          bias=bias,
          ddof=ddof,
          fweights=fweights,
          aweights=aweights,
          dtype=dtype,
      )
  
imports: from typing import Optional, Union, Tuple, Sequence
  import numpy
  import math
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ..statistical import _infer_dtype
  from copy import deepcopy
label_desc: Use image node_id 15 for calling a global function with example usage: cov() and returns: np