code: def cov(x, *, xp=None):
      if xp is None:
          xp = array_namespace(x)
  
      X = copy(x, xp=xp)
      dtype = xp.result_type(X, xp.float64)
  
      X = atleast_nd(X, ndim=2, xp=xp)
      X = xp.asarray(X, dtype=dtype)
  
      avg = xp.mean(X, axis=1)
      fact = X.shape[1] - 1
  
      if fact <= 0:
          warnings.warn(
              "Degrees of freedom <= 0 for slice",
              RuntimeWarning,
              stacklevel=2,
          )
          fact = 0.0
  
      X -= avg[:, None]
      X_T = X.T
      if xp.isdtype(X_T.dtype, "complex floating"):
          X_T = xp.conj(X_T)
      c = X @ X_T
      c /= fact
      axes = tuple(
          axis for axis, length in enumerate(c.shape) if length == 1
      )
      return xp.squeeze(c, axis=axes)
  
imports: from __future__ import annotations
  import os
  import warnings
  import numpy
  from scipy._lib import array_api_compat
  from scipy._lib.array_api_compat import is_array_api_obj, size, numpy
label_desc: Use image node_id 16 for calling a global function with example usage: cov(x) and returns: xp