code: def random_cov(ndim, dof=1):
      v = np.random.randn(ndim * (ndim + dof)).reshape(
          (ndim + dof, ndim)
      )
      return sum([np.outer(v[i], v[i]) for i in range(ndim + dof)]) / (
          ndim + dof
      )
  
file_path: emcee/document/plots/oned.py
imports: import os
  import sys
  import time
  from multiprocessing import Pool
  import h5py
  import matplotlib.pyplot
  import numpy
  import emcee
label_desc: Use image node_id 2 for calling a global function with example usage: random_cov(ndim, dof) and returns: unknown